Water is the source of life, and a clean water environment is a cornerstone of ecological balance and human health. However, the excessive proliferation of cyanobacteria has become a common challenge for water environments worldwide, which not only damages aquatic ecosystems but also may release toxic substances that threaten the safety of humans and animals. Against this backdrop, the LoRaWAN Cyanobacteria Sensor has emerged with its advanced communication technology and accurate detection capabilities, becoming a core device for real-time monitoring of cyanobacteria dynamics and early warning of water environment risks. Whether it is water conservancy management departments, environmental protection enterprises, or aquaculture practitioners, they can build an efficient water environment monitoring system through this sensor, providing a scientific basis for water environment governance and protection.

I. Core Basic Information of the Sensor: The Technical Core of Efficient Sensing

The LoRaWAN Cyanobacteria Sensor is an intelligent monitoring device that integrates cyanobacteria detection technology and LoRaWAN low-power wide-area network technology. Its core advantages stem from the perfect combination of hardware configuration and communication technology, providing guarantees for long-term and stable water environment monitoring.

1. Core Detection Principle and Accuracy

The sensor adopts optical detection technology. By irradiating water samples with light of specific wavelengths, it uses the characteristic absorption spectra of chlorophyll a and phycocyanin in cyanobacterial cells to accurately identify the presence of cyanobacteria and quantify their concentration. The detection range covers 0-1000μg/L, with an accuracy of ±5%, which can capture the concentration changes of cyanobacteria in the initial reproduction stage, achieving the monitoring goal of early detection and early warning. At the same time, the device is equipped with an automatic calibration function, which can effectively avoid the interference of water turbidity, temperature and other factors on the detection results, ensuring the accuracy and reliability of the data.

2. Advantages of LoRaWAN Communication Technology

Equipped with a LoRaWAN communication module is one of the core features of this sensor. LoRaWAN technology has the significant advantages of low power consumption, wide coverage, and large capacity. The sensor can work continuously for 6-12 months after a single charge, greatly reducing the maintenance cost of field monitoring; the communication distance can reach 3-10 kilometers, and it can stably transmit data even in remote areas such as lakes and reservoirs; a single gateway can access thousands of sensor nodes, supporting the construction of large-scale water environment monitoring networks to meet the monitoring needs at the basin and regional levels.

3. Hardware Adaptability and Environmental Tolerance

The sensor adopts an IP68 waterproof and dustproof design, which can be directly put into water for in-situ monitoring, adapting to various water environments such as freshwater lakes, reservoirs, rivers, and ponds. Its operating temperature range is from -20℃ to 60℃, which can withstand the impact of extreme climates and ensure stable operation in different regions and seasons. In addition, the device supports dual power supply modes of solar power supply and battery power supply. For remote areas without grid coverage, it can be equipped with solar panels to achieve continuous power supply, further improving the flexibility of application scenarios.



II. Core Application Scenarios: Comprehensive Water Environment Monitoring Solutions

Based on its accurate detection capabilities and flexible deployment methods, the LoRaWAN Cyanobacteria Sensor has been widely used in water conservancy management, environmental protection monitoring, aquaculture, municipal water supply and other fields, providing customized solutions for water environment management in different scenarios.

1. Water Conservancy and Ecological Environment Monitoring

In the work of river basin management and lake protection, the sensor can serve as a core node of the ecological environment monitoring network, collecting key data such as cyanobacteria concentration, water temperature, and pH value in real-time, and transmitting them to the cloud management platform through the LoRaWAN network. Water conservancy departments and environmental protection agencies can remotely view the data change trends through the platform. When the cyanobacteria concentration reaches the early warning threshold, the system will automatically send early warning information such as SMS and emails, helping staff to take intervention measures such as water replacement and algicide application in a timely manner, avoiding the large-scale outbreak of cyanobacterial blooms and protecting the balance of the aquatic ecosystem. For example, in the monitoring of large reservoirs, the deployment of multiple sensors to form a monitoring grid can fully grasp the distribution of cyanobacteria in different areas of the reservoir, providing data support for reservoir ecological protection decisions.

2. Precision Management in the Aquaculture Industry

The excessive proliferation of cyanobacteria is an "invisible killer" in aquaculture. The algal toxins released by them can cause the death of farmed organisms, and the oxygen consumption of cyanobacteria in water can trigger the phenomenon of fish and shrimp floating heads, bringing huge economic losses to farmers. The LoRaWAN Cyanobacteria Sensor can monitor the cyanobacteria concentration in aquaculture ponds in real-time. Farmers can view the data through the mobile APP and take measures such as turning on aerators, changing water or using safe algae-removing products in a timely manner when the concentration is abnormal, so as to optimize the aquaculture environment. In addition, the sensor data can also be linked with the automatic feeding system and aeration system of the aquaculture pond to realize intelligent aquaculture management, reduce labor costs, improve the survival rate and output of aquaculture, and provide guarantees for the green and sustainable development of the aquaculture industry.

3. Municipal Water Supply and Drinking Water Safety Guarantee

Cyanobacterial pollution in drinking water sources directly threatens the safety of residents' water use. The algal toxins produced by cyanobacteria are difficult to be completely removed by conventional water treatment processes, which may cause digestive system diseases and even long-term health risks. LoRaWAN Cyanobacteria Sensors can be deployed at key nodes such as water sources and sedimentation tanks of waterworks to monitor changes in cyanobacteria concentration in real-time. When the concentration is close to the safety threshold, the waterworks can start enhanced treatment processes in advance, such as increasing activated carbon adsorption and ozone oxidation, to ensure that the quality of the produced water meets the drinking water hygiene standards and safeguard the water safety of residents from the source.

4. Landscape Water and Resort Environment Maintenance

Once cyanobacterial blooms break out in landscape water bodies such as park lakes, golf course artificial lakes, and tourist resort water features, it will not only cause problems such as green water and foul odors but also affect the tourist experience and regional image. By deploying LoRaWAN Cyanobacteria Sensors in landscape water bodies, the management can grasp the water quality in real-time and intervene in a timely manner in the early stage of cyanobacterial reproduction to avoid the outbreak of blooms. This measure not only reduces the cost of large-scale algae removal but also maintains the ornamental value of the landscape water body, providing a strong guarantee for the leisure and tourism environment.



III. Core Values: Empowering Sustainable Development of Water Environment with Technology

The value of the LoRaWAN Cyanobacteria Sensor is not only reflected in the technical and functional levels but also contains the core pursuit of protecting the ecology, empowering industries, and safeguarding people's livelihood, injecting intelligent power into the sustainable development of the water environment.

1. Ecological Protection: Building a Defense Line for Aquatic Ecological Security

Facing the increasingly severe challenges of the water environment, the sensor takes accurate monitoring as the core means to realize early detection, early warning, and early disposal of cyanobacterial pollution, transforming from passive response to active prevention and control. By curbing the excessive proliferation of cyanobacteria, it effectively protects biological populations such as plankton, aquatic plants, and fish in the water, maintains the biodiversity and self-repair ability of the aquatic ecosystem, and helps achieve the ecological goal of "clear water, green banks, and beautiful scenery", preserving clean water resources for future generations.

2. Industrial Empowerment: Driving Efficient Upgrading of Related Industries

In the aquaculture field, the sensor transforms traditional "experience-based aquaculture" into "data-based aquaculture", helping farmers reduce risks and improve efficiency, and promoting the transformation of the aquaculture industry towards greenization and intelligence; in the water conservancy and environmental protection industries, the large-scale monitoring network built by sensors greatly improves the efficiency and scientificity of water environment management, reduces the input of human and material resources, and realizes the optimization of environmental governance costs. This technological empowerment effect promotes the coordinated development of related industries and ecological protection, forming a virtuous circle.

3. Livelihood Guarantee: Adhering to the Bottom Line of Health and Safety

Water resources are closely related to human life. The drinking water safety issues and recreational water health issues caused by cyanobacterial pollution directly affect the quality of people's lives. From the monitoring of drinking water sources to the maintenance of landscape water bodies, the LoRaWAN Cyanobacteria Sensor fully covers the scenarios of people's water use and water contact. It eliminates the health risks caused by cyanobacterial pollution through technical means, provides a safe and reliable water resource environment for the public, and demonstrates the value orientation centered on people's livelihood.

From technological innovation to practical application, from ecological protection to people's livelihood guarantee, the LoRaWAN Cyanobacteria Sensor is becoming an important force in water environment governance and protection with its unique advantages. Whether you are a water environment management department, an environmental protection enterprise, or an aquaculture practitioner, choosing our LoRaWAN Cyanobacteria Sensor means choosing an accurate, efficient, and reliable water environment protection solution, and working together to contribute to the construction of a sustainable aquatic ecological environment.




  Tired of guessing your soil’s salinity by touching it? Wasting fertilizer because you “think” the plants need it? Or watching crops wilt because you overwatered (again)? 

Say goodbye to the “trial-and-error” chaos—meet the Industrial LoRaWAN Soil EC Sensor, the ultimate game-changer for precision agriculture and industrial monitoring. It doesn’t just measure soil data; it turns your soil into a predictable, high-yielding asset.



Argument 1: Pinpoint Accuracy – No More “Maybe” Soil Data

Laboratory soil tests take weeks (and your soil changes daily!), while cheap sensors give data so erratic they’re basically useless. 

But the LoRaWAN Soil EC Sensor is a precision powerhouse: featuring patented multi-electrode technology, it measures EC, moisture, and temperature simultaneously with ±8% EC accuracy and ±2% moisture error—all in less than 2 seconds! It’s like having a “soil taste tester” that tells you exactly when your crops are “hungry,” “thirsty,” or at risk of salt damage. 

Whether you’re managing a greenhouse or restoring saline-alkali land, it eliminates guesswork and gives you data you can trust.


Argument 2: Built to Last – Tough Enough for Any Industrial Job

Industrial environments are brutal—wet swamps, corrosive salt-rich soil, extreme temperatures. 

Most sensors fail within months, but the LW Sensor is built for war: IP68 waterproof/dustproof rating, corrosion-resistant stainless steel probes, and a durable design that survives underground burial for years (yes, even submerged in water!). 

With RS485 bus support, it can extend up to 1000 meters for distributed monitoring—perfect for 120-acre smart greenhouses or cross-regional ecological projects. 

It’s more reliable than your most dedicated team member!



Argument 3: Smart & User-Friendly – Even Beginners Can Master Precision

Industrial-grade doesn’t mean complicated! The LW Sensor is designed for ease: built-in calibration curves deliver ready-to-use data (no math required!), and it seamlessly connects to IoT platforms, data loggers, and mobile apps. 

Get real-time alerts when EC levels are too high/low—no more late-night panics over crop health! A greenhouse grower in Shandong, China, saw amazing results: after switching to the LW Sensor, fertilizer use dropped by 40%, water consumption by 50%, and tomato yields increased by 15%—all by keeping EC levels precisely between 1.2-1.5ms/cm. 

Whether you’re into precision farming, environmental monitoring, or soil remediation, it cuts 80% of manual work and turns “farming by luck” into “farming by data.”



The Bottom Line:

A sensor isn’t an expense—it’s an investment in less stress and higher profits. The LoRaWAN Soil EC Sensor doesn’t need constant calibration, won’t break down when you need it most, and never gives bad data. 

It’s your soil’s personal data analyst, helping you make every drop of water and every gram of fertilizer count. Grab yours today, and while others are still guessing next harvest, you’ll be celebrating record yields.

The LW Soil EC Sensor is your shortcut to smarter, more efficient soil management—no expertise required, just reliable data and bigger yields.Transform how you work with soil. Your next record harvest starts here!




  What if the hidden threat to your water wasn’t visible to the naked eye? A farmer waters crops with seemingly clean irrigation water, only to watch them wilt weeks later—unaware the water’s high salt content (revealed by conductivity) is poisoning the soil. A water treatment plant misses a pipe leak for 24 hours, as contaminated groundwater with abnormal conductivity seeps into the supply. A shrimp farm loses 30% of its stock overnight, blind to the sudden conductivity spike that disrupted their habitat. Conductivity is the silent indicator of water health—tracking dissolved salts, minerals, and contaminants that pH alone can’t detect. And the LoRaWAN EC Water Quality Sensor is the game-changing tool that turns invisible risks into actionable insights, no matter where your water is.

Why Traditional Conductivity Monitoring Is a Costly Gamble

For decades, tracking water conductivity has been plagued by inefficiencies that cost industries billions annually:
  • Labor-intensive sampling: Teams waste hours collecting water samples to send to labs, waiting 24+ hours for results—by then, contamination or salt buildup has already caused irreversible damage .
  • Frequent maintenance headaches: Traditional electrode sensors require monthly acid cleaning (shutting down operations for hours) and suffer from data drift in extreme temperatures, leading to costly errors .
  • Limited coverage: Wired sensors or short-range wireless (Bluetooth/Wi-Fi) trap you in fixed locations, leaving remote ponds, sprawling farm fields, or far-flung water pipes unmonitored .
  • Hidden costs: Missed alerts lead to crop failure, aquaculture die-offs, regulatory fines, or public health crises—costs that dwarf the price of monitoring tools.

LoRaWAN technology eliminates these pain points. As a low-power wide-area network (LPWAN) solution, it delivers real-time conductivity data across miles, not meters—without the hassle of wiring or constant maintenance. This isn’t just an upgrade; it’s a complete overhaul of how we protect water-dependent operations.




3 Irrefutable Reasons LoRaWAN Conductivity Sensors Are Non-Negotiable

1. Long-Range, Low-Power Performance That Lasts Years

The biggest advantage of LoRaWAN is its ability to transmit accurate conductivity data up to 10 miles in rural areas—all while sipping power . Our sensor runs on a single lithium battery that lasts 3–10 years (depending on data update frequency), eliminating weekly battery swaps and expensive wiring projects . Install it in a remote lake, a deep irrigation canal, or a municipal water pipe—you’ll get consistent data on your phone, tablet, or dashboard, even from the most hard-to-reach locations. It’s built to survive harsh conditions too: IP66/IP68 waterproofing, operating temperatures from -40°C to 85°C, and resistance to UV rays, dust, and heavy rain . No more sensor failures in extreme weather—just reliable monitoring, year after year.

2. Precision That Prevents Disasters (and Fines)

Conductivity is a make-or-break metric: too high, and salts build up in soil or stress aquatic life; too low, and water lacks essential minerals or signals purification system failures . Our LoRaWAN sensor delivers lab-grade accuracy: ±5% from 0–5 dS/m and ±10% from 5–23 dS/m, with a resolution as fine as 0.01 dS/m . For a winery, this means catching irrigation water conductivity above 2 dS/m before it ruins grape flavor. For a fish farm, it detects drops below the ideal 0.5–1.5 dS/m range for freshwater shrimp, triggering immediate water adjustments . For municipalities, it flags conductivity spikes above 420 μS/cm—an early warning of pipe leaks or contamination—avoiding EPA fines and boil-water advisories . Precision isn’t just a feature; it’s your financial safety net.

3. Plug-and-Play Simplicity + Scalable Coverage

You don’t need an IT team to use this sensor. It connects seamlessly to global LoRaWAN networks (including TTN, Helium, and SenseCAP gateways) and integrates with IoT platforms like AWS IoT Core or our user-friendly dashboard . Set it up in 4 steps with a mobile app—no coding required—and customize data update intervals (1–60 minutes) and alert thresholds . Start small with one sensor for a backyard pond, or scale to 100+ for a regional water system—no extra hardware or software needed. Alerts come via email, SMS, or app notification, so you’re never caught off guard. Whether you’re a small farmer or a large utility company, this sensor adapts to your needs.




Who Benefits Most? Every Industry That Relies on Water

This sensor isn’t one-size-fits-all—it’s a critical tool for anyone who can’t afford to guess about water quality:
  • Agriculture: Monitor irrigation water salt levels to prevent soil salinization, optimize fertilizer use, and boost crop yields . Perfect for farms, greenhouses, and vineyards.
  • Aquaculture: Maintain ideal conductivity ranges for fish, shrimp, and shellfish (e.g., freshwater species vs. saltwater species) to reduce mortality and improve harvests .
  • Municipal Water: Detect pipe leaks, contamination, and purification system failures in real time, ensuring drinking water meets regulatory standards and protecting communities .
  • Industrial Manufacturing: Ensure process water purity (e.g., electronics, pharmaceuticals) where ultra-low conductivity (below 0.1 μS/cm) is mandatory .
  • Environmental Monitoring: Track pollution runoff, saltwater intrusion into rivers, and ecosystem health in lakes, streams, and coastal areas .



Real Results: How Users Slashed Costs & Avoided Disasters

A family-owned vegetable farm in California was struggling with mysterious crop wilting—until they installed our LoRaWAN conductivity sensors. Previously, they sampled irrigation water once a week, missing dangerous salt buildup. Now, real-time alerts let them dilute high-conductivity water before it hits the fields. Crop loss dropped by 25%, and they saved $18,000 in fertilizer costs (no more wasting nutrients on salt-damaged soil) in the first year.
A mid-sized water utility in Oregon replaced outdated electrode sensors with our LoRaWAN solution. Before, they faced monthly maintenance shutdowns and data drift that led to a $12,000 regulatory fine. Now, their sensors run 24/7 with zero downtime, data accuracy hit 99.8%, and costs dropped by 70% . When a pipe leak caused conductivity to spike from 350 μS/cm to 900 μS/cm, they received an alert within minutes, located the leak, and fixed it before contaminated water reached homes.

Stop Gambling With Water—Invest in Certainty

Water is your most valuable asset, and conductivity is its silent guardian. Traditional monitoring tools keep you in the dark; LoRaWAN Smart Electrical Conductivity Sensor For Water shine a light on risks before they become catastrophes. It’s easy to install, affordable to scale, and built to save you time, money, and stress.




When you turn on the tap, have you ever wondered if the magnesium ion content in the water meets standards? During farm irrigation, how can you determine if the water quality will cause soil compaction? In industrial production, how to prevent pipeline scaling caused by high-magnesium water? These seemingly trivial issues are closely linked to the accurate monitoring of magnesium ions in water. In the past, monitoring methods relying on manual sampling and laboratory analysis were not only time-consuming and labor-intensive but also struggled to capture real-time water quality fluctuations. Today, the emergence of LoRaWAN magnesium ion water quality sensors is redefining the efficiency and precision of water quality monitoring with their advantages of "low power consumption, wide coverage, and real-time data transmission."


Argument 1: Technological Integration Breaks Through, Solving Three Core Pain Points of Traditional Monitoring

Traditional magnesium ion monitoring has long been plagued by "data lag, heavy operation and maintenance (O&M) workload, and high costs." Data from third-party testing institutions shows that laboratory analysis of magnesium ions using atomic absorption spectrometry takes 7-10 working days to yield results, with a single test cost exceeding RMB 200. While analog sensors enable on-site monitoring, they require weekly calibration – a county-level water plant alone incurs annual calibration labor costs exceeding RMB 120,000, with a data error margin of ±5% FS, far exceeding the requirements of the National Sanitary Standards for Drinking Water (GB 5749-2022).



The LoRaWAN magnesium ion water quality sensor thoroughly addresses these challenges through the deep integration of "high-precision sensing" and "low-power IoT technology." Its core advantages stem from complementary technical features:

  • The LoRaWAN protocol achieves a transmission distance of 2-5 km in urban environments and extends to 5-15 km in open suburban areas – 10-150 times the coverage of WiFi.
  • With a sleep current of ≤1 μA and an 8500 mAh lithium thionyl chloride battery, the sensor can operate continuously for 5-10 years when uploading data once per minute, significantly reducing replacement costs.
  • The sensing module adopts a fluorescent carbon quantum dot "OFF-ON" detection mechanism combined with temperature compensation technology, covering a detection range of 0.1-50 mg/L with an accuracy of ±3% FS – fully complying with the requirements for industrial water magnesium ion determination in GB/T 14636-2021.
  • Additionally, the device supports Bluetooth remote configuration and OTA firmware updates, enabling plug-and-play on-site installation and extending the calibration cycle to 3 months. Field tests at a chlor-alkali plant show that equipment maintenance time has been reduced from 8 hours per session to 5 minutes, cutting labor costs by 60%.



Argument 2: Full-Scenario Coverage, Serving as a "Water Quality Sentinel" Across Industries

The value of magnesium ion monitoring spans agriculture, industry, and daily life. Leveraging LoRaWAN's wide coverage and strong adaptability, the sensor seamlessly adapts to complex environments – from urban water pipelines to remote farmlands – acting as an omnipresent "water quality sentinel."

In Agriculture

Magnesium is a key element for plant chlorophyll synthesis. An imbalance in the calcium-magnesium ratio (Ca²⁺/Mg²⁺ < 1) in irrigation water can cause soil compaction, while available magnesium levels below 50 mg/kg trigger crop nutrient deficiencies. A smart farm deployed 20 sensors in its irrigation system to real-time monitor magnesium concentration (controlling the threshold at ≤50 mg/L), with data transmitted to an agricultural cloud platform via LoRa gateways. When low magnesium levels are detected, the system automatically triggers a water-fertilizer integrated machine to supplement magnesium sulfate solution, precisely adjusting water quality. After six months of implementation, the farm achieved an 8% increase in wheat thousand-grain weight and a 15% improvement in irrigation water use efficiency, eliminating resource waste caused by traditional experience-based fertilization.

In Industry

High-magnesium water, when combined with calcium and silicon, tends to form insoluble scales that reduce the lifespan of boilers and cooling systems. A power plant introduced the sensor to monitor magnesium ion content in circulating cooling water, adjusting scale inhibitor dosage in real time in line with the 0.1-50 mg/L range specified in GB/T 14636-2021. This completely resolved heat exchange efficiency issues caused by scaling, saving over RMB 200,000 annually in maintenance costs per boiler while reducing chemical reagent usage – achieving a win-win for environmental protection and economic benefits. In water treatment plants, the sensor provides 24/7 monitoring of magnesium content in finished water, ensuring compliance with the WHO limit of ≤50 mg/L and safeguarding safe drinking water for residents.



Argument 3: Data-Driven Decision-Making, Empowering the Upgrade of Smart Water Quality Management

  • The value of the LoRaWAN magnesium ion water quality sensor extends beyond data collection – it drives a transformation from "reactive response" to "proactive prevention" in water quality management through a closed loop of "perception-transmission-analysis-decision-making." Real-time data uploaded by the sensor is analyzed by cloud platforms to generate trend reports, helping managers accurately identify water quality change patterns. For example, an industrial park analyzed six months of magnesium ion data and discovered that magnesium concentration peaks at chemical plant discharge outlets 2 hours after production peaks. Based on this insight, the park optimized the operation schedule of its sewage treatment system, improving treatment efficiency by 30% and increasing sewage discharge compliance from 92% to 100%.
  • In emergency scenarios, the sensor's real-time alarm function proves invaluable. When sudden water pollution causes abnormal fluctuations in magnesium ion concentration, the system immediately notifies managers via SMS and APP push, pinpointing the affected location. During a rainstorm in a scenic area, soil erosion led to a sudden surge in stream magnesium levels – the sensor triggered an alarm within 10 seconds, prompting management to shut down water intake points promptly and avoiding potential drinking water safety risks for tourists.



From cumbersome laboratory testing to real-time on-site sensing, the LoRaWAN magnesium ion water quality sensor has broken the temporal and spatial limitations of water quality monitoring through technological innovation. As IoT technology advances, such "small yet powerful" sensing devices will become increasingly prevalent, not only providing precise and efficient monitoring solutions for various industries but also serving as a critical force in safeguarding water resource security and promoting green development. In the future, as every drop of water flows past a "smart sentinel," our access to high-quality water resources will draw closer than ever.



"The lake water suddenly turns green and stinks, with a large number of dead fish" "The tap water has an unusual odor, and algal toxins exceed the standard" —— Behind these worrying water quality problems, there is an abnormal key indicator: chlorophyll concentration. As the "barometer" of water eutrophication, real-time monitoring of chlorophyll is the core link to prevent algal bloom disasters and ensure water safety. The LoRaWAN water quality chlorophyll sensor we are going to introduce today has become the "smart sentinel" in the field of water quality monitoring with its advantages of low power consumption and wide coverage.


Why Traditional Water Quality Monitoring Falls Short?

  • Before the popularization of LoRaWAN technology, chlorophyll monitoring in water often faced many challenges. Traditional laboratory testing requires manual on-site sampling, which is not only time-consuming and labor-intensive, but also has the problem of "outdated as sampled", failing to capture real-time changes in water quality. Wired monitoring equipment can transmit data in real time, but the wiring cost is extremely high, making it almost impossible to deploy in scenarios such as remote reservoirs and vast lakes. Ordinary wireless sensors are limited by communication distance and power consumption; either they need frequent battery replacement, or data transmission is often interrupted, making it difficult to achieve long-term stable monitoring.
  • These pain points have put water quality management departments and enterprises in a dilemma of "wanting to monitor but struggling to monitor" —— When an algal bloom is detected, the best governance opportunity is often missed, resulting in serious ecological losses and economic costs.



LoRaWAN + Chlorophyll Monitoring: Unlocking a New Way of Water Quality Monitoring

The emergence of LoRaWAN water quality chlorophyll sensors has completely broken the limitations of traditional monitoring. It perfectly integrates fluorescence-based chlorophyll detection technology with LoRaWAN low-power wide-area network technology, ensuring detection accuracy while solving the core problems of data transmission and equipment battery life.

1. Accurate Detection: Make Every Data "Reliable"

The sensor adopts the professional fluorescence detection principle. Chlorophyll in water will emit characteristic fluorescence when irradiated by a light source of a specific wavelength, and its intensity is strictly proportional to the concentration. Equipped with a high-precision optical filter and a temperature compensation module, the sensor can effectively filter stray light interference and automatically correct errors caused by water temperature changes. The detection accuracy can reach 0.01μg/L, and the reproducibility is ≤3%. Even small changes in low-concentration chlorophyll can be accurately captured, providing reliable data support for algal bloom early warning.

2. Low Power Consumption & Long Service Life: "Zero Burden" Even in Remote Scenarios

Relying on the ultra-low power consumption characteristics of the LoRaWAN protocol, the sensor's power consumption is only tens of milliamps when actively uploading data, and as low as microamp level when in sleep mode. With lithium battery power supply, it can work continuously for 6-12 months without external power supply; if equipped with a solar power supply module, it can achieve long-term monitoring with "uninterrupted power supply". It can be easily deployed in small reservoirs in deep mountains or mariculture areas far from the coast, completely getting rid of the dependence on the power grid.



3. Wide-Area Transmission: "Unobstructed" Even in Complex Environments

It supports global mainstream frequency bands such as 470MHz (China), 868MHz (Europe), and 915MHz (America). The communication distance can reach 3-5 kilometers in an open environment. Even around lakes with dense trees or water plants surrounded by buildings, stable data transmission can be realized through LoRaWAN gateways. Multiple sensors can be connected to the same gateway, easily building a monitoring network covering tens of square kilometers. Data is uploaded to the cloud platform in real time, which can be viewed at any time on mobile phones and computers.

4. Durable: "Stable Operation" Even in Harsh Environments

Adopting 316L stainless steel shell and high-strength optical glass, the protection level reaches IP68, which can be completely submerged in water for long-term work. It can withstand a wide temperature range of -20℃ to 80℃, and can operate stably whether in frozen reservoirs in the north or high-temperature fish ponds in the south. Some models are also equipped with ultrasonic automatic cleaning functions, which effectively prevent algae and microorganisms from adhering to the probe and reduce the frequency of manual maintenance.



These Scenarios All Need Its Protection

  • Natural Water Ecological Governance: Deploy sensors in lakes prone to algal blooms (such as Taihu Lake and Dianchi Lake) and important river basins such as the Yangtze River and the Yellow River to monitor changes in chlorophyll concentration in real time. When the data exceeds the early warning threshold, the system automatically sends SMS or APP push notifications, helping management departments take measures such as water replacement and algicide application in advance to eliminate algal bloom disasters in the bud.
  • Drinking Water Source Protection: Install sensors around the water intake of waterworks and drinking water source protection areas to monitor chlorophyll and cyanobacteria concentrations 24 hours a day. Once exceeding the standard is detected, the waterworks' purification process is immediately triggered to adjust, preventing algal toxins from entering the drinking water pipe network and ensuring the safety of residents' water use.
  • Intelligent Aquaculture Management: Deploy sensors in aquaculture waters such as fish ponds and shrimp ponds. Excessively high chlorophyll concentration often means eutrophication of the water body, which is easy to cause fish and shrimp to die of hypoxia. The sensor feeds back the water quality in real time, helping farmers scientifically adjust the feeding amount and water change frequency, reducing the occurrence of diseases and improving the survival rate of aquaculture.
  • Industrial Wastewater Discharge Monitoring: Industrial enterprises install sensors at wastewater discharge outlets to monitor the chlorophyll concentration in the discharged water in real time, ensuring that the discharged water quality meets national standards, avoiding pollution of surrounding water bodies by wastewater, and reducing the risk of environmental protection penalties.




Choose Us to Simplify Water Quality Monitoring

Our LoRaWAN water quality chlorophyll sensor not only has the above core advantages, but also can provide you with customized monitoring solutions: from sensor selection, network planning, to cloud platform construction and data visualization analysis, we provide one-on-one technical support throughout the process. Whether it is a government water quality monitoring project or an enterprise production and operation demand, we can meet your accurate monitoring needs.

Consult now to get free on-site survey and scheme design services, and let the "smart sentinel" protect your water quality safety!

It was 3 a.m. in the chemical industrial park, and the moonlight stretched the shadows of the pipelines long. Old Zhang's walkie-talkie suddenly crackled with static, followed by the sharp beep of an automatic system alarm— the hydrogen concentration in the eastern storage area had exceeded the warning threshold. He grabbed his safety helmet and rushed to the scene, but halfway there, he received a precise location alert from the sensor node: "Valve interface of Pipeline 3, leak concentration 0.4%, diffusion rate 0.02% per minute." Twenty minutes later, the leak was successfully sealed, and a potential explosion crisis was nipped in the bud. Staring at the stable curve on the equipment screen, Old Zhang recalled the near-disaster caused by a hydrogen leak five years ago and sighed, "Now we don't chase after hidden dangers; the sensors 'shout' them out to us." The wisdom behind making hydrogen—this invisible, intangible "hidden killer"—"speak up" lies in the collaboration between LoRaWAN technology and H₂ gas sensors.



As both a clean energy source and an industrial raw material, hydrogen has long permeated numerous fields such as chemical engineering, energy, and electronics. However, its flammable and explosive properties have always been a "Sword of Damocles" in industrial production—when the hydrogen concentration in the air reaches the explosive limit of 4% to 75.6%, even a tiny spark can trigger catastrophic consequences. Before the popularization of LoRaWAN technology, H₂ gas monitoring had long been trapped in a dilemma: "What is visible is inaccurate, and what is accurate is invisible." Back then, sensors either relied on wired connections, which were costly and inflexible to deploy in large industrial parks, leaving remote pipeline nodes completely uncovered; or they used short-range wireless technology, with a transmission distance of no more than 100 meters, and their data was often scrambled by electromagnetic interference in industrial environments. Old Zhang still remembers that during the leak five years ago, the traditional sensor didn't issue an alarm until 20 minutes after the concentration exceeded the standard. By the time they found the leak point, hydrogen had already spread to the entrance of the operation workshop.



The emergence of LoRaWAN technology is like equipping H₂ gas sensors with "long-distance ears" and "intelligent brains," completely breaking the monitoring predicament. This low-power wide-area network protocol based on spread spectrum technology has three core advantages: "long range, energy efficiency, and stability." Its transmission distance can reach several kilometers or even more than ten kilometers, perfectly matching the vast scale of industrial parks; the battery life of a single sensor node can easily reach 3 to 5 years, eliminating the need for frequent power replacements and solving the power supply problem in remote areas; its anti-interference ability is particularly outstanding—even in industrial environments filled with motors and frequency converters, it can transmit data stably without "distortion." When an H₂ gas sensor is equipped with a LoRaWAN module, it forms a complete closed-loop from "perception" to "transmission" and then to "early warning": the electrochemical element at the core of the sensor captures hydrogen molecules in the air in real time, converts the concentration signal into an electrical signal, encrypts it via the LoRaWAN module, and uploads it to a gateway. The gateway then forwards the signal to a cloud platform, which uses algorithms to analyze and determine whether to trigger an early warning. Finally, alerts are sent to staff through multiple channels such as text messages, APP notifications, and on-site sound and light alarms. The entire process takes less than one second, truly realizing "catching hidden dangers as soon as they appear."



The combination of LoRaWAN and H₂ gas sensors is not just a superposition of technologies, but a revolution in industrial safety concepts—shifting from "passive remedy" to "proactive defense." Behind this transformation, three core arguments support its irreplaceable value. Firstly, its wide coverage solves the "blind spot problem" in industrial monitoring. Traditional monitoring equipment is often concentrated in core production areas, while "edge areas" such as pipeline routes and storage area perimeters tend to become regulatory blind spots. LoRaWAN's long-distance transmission capability allows "full-coverage" deployment of sensors; even in underground pipeline wells, data can be transmitted back to the platform through relay nodes. Secondly, its low-power advantage reduces the "hidden costs" of safety management. For parks with thousands of monitoring nodes, frequent battery replacements not only consume manpower and material resources but also may cause monitoring interruptions during replacement. The long battery life of LoRaWAN sensors fundamentally solves this problem, making safety management more efficient and stable. Thirdly, its data interconnection capability builds an "overall prevention and control network." Early warnings from a single sensor are just "point" reminders, while LoRaWAN technology can aggregate data from all nodes into a "surface" profile. By analyzing the concentration change trends in different areas, the platform can predict the direction of leak diffusion and provide a scientific basis for emergency response—like equipping safety managers with "prescient" eyes.



Today, in chemical industrial parks, more and more H₂ gas sensors are "on duty" with the help of LoRaWAN technology. They attach quietly to pipelines and hide beside equipment, capturing the "breath" of hydrogen 24 hours a day. Old Zhang's role has also changed from a "patrolman" in the past to a "commander" now. He only needs to sit in the monitoring room to grasp the situation of all monitoring points through the screen. Those beating numbers and stable curves form the most reassuring scenery in industrial production.


From invisible hidden dangers to visible data, from passive response to proactive prevention, LoRaWAN technology has transformed H₂ gas sensors from "monitoring tools" to "safety guards." In the wave of energy revolution and industrial intelligence, such technological integration is constantly happening. They may not have a gorgeous appearance, but with every accurate perception and every stable transmission, they strengthen the safety line for industrial production. And guardians like Old Zhang, with the support of these technologies, are making the goal of "zero accidents" increasingly within reach—when hydrogen learns to "speak up," safety gains its most reliable voice.

 

As a crucial device for modern agriculture and environmental monitoring, the LoRaWAN solar-powered soil sensor requires special attention to the maintenance of key components such as the solar power supply system, soil probes, and data transmission modules. Below is a professional maintenance guide for this type of sensor:

1、 Key points of daily maintenance

      Sensor position check

  • Check the depth and Angle of the sensor inserted into the soil monthly to ensure good contact with the soil
  • Check whether the fixing device is firm to prevent displacement caused by wind, rain or animal activity
  • Ensure that there is no large plant root system around the sensor to avoid interference with the measurement

      Surface cleaning and maintenance

  • Use a soft brush to regularly remove dirt and debris from the sensor surface
  • For stubborn stains, use a soft cloth lightly and avoid using chemical cleaners
  • Pay special attention to the surface of the cleaning sensor in contact with the soil

2、 Maintenance of solar power supply system

       Solar panel maintenance

  • Check the surface of the solar panels every quarter to remove dust, bird droppings and other obstructions
  • Increase cleaning frequency to ensure charging efficiency before winter or rainy season
  • Check whether the solar panel bracket is stable to avoid angle deviation caused by strong wind
     Battery system maintenance
  • Check the battery health once every six months by measuring voltage and current output
  • Replacement should be considered when the battery capacity is less than 70% of the initial capacity
  • In extreme temperature environment, take insulation or heat dissipation measures to protect the battery

3. Professional maintenance of soil probes

     Probe cleaning method

  • The probe is removed from the soil every quarter and wiped clean with a soft cloth
  • Increase cleaning frequency for saline-alkali land or areas where fertilizer is used frequently
  • Use a special probe cleaner to treat stubborn stains and avoid using metal tools to scrape

     Probe calibration check

  • Probe calibration should be performed at least once a year to ensure measurement accuracy
  • Use a standard solution to check the response curve of the conductivity probe
  • The temperature probe should be compared with the standard thermometer regularly
4、 LoRaWAN communication module maintenance

     Radio system inspection

  • Check monthly whether the antenna connection is firm, no loosening or oxidation
  • Ensure that there is no metal object around the antenna to block the signal transmission
  • In areas prone to thunderstorms, check whether the lightning protection measures are perfect

     Network connection testing

  • Regularly check the connection quality between devices and gateways
  • Record the trend of signal strength (RSSI) and signal-to-noise ratio (SNR) changes
  • When communication abnormalities are detected, check the device ID and network settings
5、 Seasonal maintenance strategy


    Special maintenance during rainy season

  • Check if all seals and waterproof measures are intact
  • Ensure unobstructed drainage holes to prevent water accumulation
  • Check whether the equipment works normally after rainstorm
     Winter maintenance focus
  • Adding insulation layer to equipment in cold regions
  • Check the performance of the battery at low temperatures
  • Prevent snow from covering solar panels
     Summer maintenance points
  • Strengthen equipment heat dissipation inspection to prevent overheating
  • Increase probe cleaning frequency in high-temperature and arid areas
  • Check the working condition of solar panels at high temperatures

6、 Professional maintenance tools and spare parts

    Recommended maintenance toolkit

  • Digital multimeter (used to detect voltage and current)
  • Insulated screwdriver set
  • Anti static cleaning brush
  • Probe calibration toolkit
    List of commonly used spare parts
  • Same model battery (recommended to keep 1-2 spare)
  • Sealing ring and waterproof tape
  • Backup probes (quantity determined by usage environment)
  • Solar panel cleaning kit
Through the maintenance of the above system, the LoRaWAN solar soil sensor can ensure long-term stable operation and provide accurate soil monitoring data. It is recommended to develop a detailed maintenance calendar, recording the content of each maintenance and the problems discovered, and forming an equipment maintenance file. For key agricultural application scenarios, it is recommended to equip backup equipment to cope with sudden failures








Against the backdrop of the accelerated advancement of global agricultural modernization, precision agriculture has become the core path for enhancing agricultural production efficiency, ensuring food security, and achieving sustainable agricultural development. As a core device for obtaining key soil data in precision agriculture, the LoRaWAN soil sensor not only resolves many pain points of traditional agriculture, providing a scientific basis for management decisions such as precise irrigation and precise fertilization, but also promotes the deep integration of agriculture and advanced technologies with its excellent performance, becoming an important engine driving the modernization and upgrading of agriculture. as follows:



1.Solving the pain points of traditional agriculture, the LoRaWAN soil sensor is the core hub for data acquisition

  • Traditional agriculture relies on experience to judge key indicators such as soil moisture and nutrient content, which is lagging and subjective, and is prone to problems such as water resource waste and fertilizer abuse.
  • LoRaWAN soil sensor can collect data such as soil temperature, humidity, pH value, EC,and electrical conductivity (reflecting nutrient status) in real time and accurately, breaking the limitations of "planting by feeling", providing scientific and reliable data support for agricultural production, and solving the pain points of difficult data acquisition and low accuracy in traditional agriculture from the source.


2. Empowering precision agricultural management, LoRaWAN soil sensors are a key basis for decision-making

  • In the field of precision irrigation, the LoRaWAN soil sensor transmits soil moisture data in real time. Combined with the water requirement patterns of crops, it can enable the intelligent irrigation system to automatically adjust the duration and volume of water supply, avoiding overirrigation or water shortage and drought, and improving the utilization rate of water resources by more than 30% (the data can be adjusted according to actual cases).
  • In the precise fertilization process, the soil nutrient data monitored by LoRaWAN soil sensors can accurately determine the types and amounts of fertilizers needed by crops, formulate personalized fertilization plans, reduce fertilizer waste, lower the risk of soil pollution, and at the same time increase crop yields and quality, achieving refined management of "supply based on demand".


3.LoRaWAN soil sensors are an important engine for industrial transformation, promoting the modernization and upgrading of agriculture

  • In the process of global agricultural modernization, large-scale and intelligent planting has become a trend. LoRaWAN soil sensors can be integrated with technologies such as the Internet of Things, big data, and artificial intelligence to build a smart agricultural management platform, enabling remote monitoring and centralized management of soil conditions in large areas of farmland, reducing labor costs, and improving planting efficiency.
  • Compared with ordinary soil sensors, LoRaWAN soil sensors have advantages such as strong stability, outstanding anti-interference ability, and long service life. They can adapt to complex environments with different climates and soil types, and are widely used in precision agriculture projects in different regions around the world, accelerating the transformation of agriculture from "traditional extensive" to "modern precise".





Summary

In the future, as precision agriculture further develops, the significance of LoRaWAN soil sensors will become increasingly prominent, injecting stronger impetus into the high-quality development of global agriculture.





  • In modern agricultural production and soil management,LoRaWAN soil EC (electrical conductivity) sensors are not merely "data collection tools", but rather the core technical support that runs through "soil health monitoring - precise crop management - efficient resource utilization - environmental risk prevention and control". Its significance is as follows:

Precise monitoring of soil indicators:

The LoRaWAN soil EC sensor can measure soil electrical conductivity in real time and accurately, thereby reflecting the content of soluble salts and nutrient status in the soil. For instance, by monitoring the EC value, one can promptly understand the changes in nutrients in the soil after fertilization and determine whether additional fertilizers are needed. Additionally, during the growth of crops, the extent to which the crops absorb nutrients can be known based on the decline in the EC value. In addition, it can also indirectly assess the moisture content of the soil, as the soil moisture content will affect the soil's electrical conductivity, and thereby influence the measurement result of the EC value.



    • Realize wireless remote monitoring:
    • The LoRaWAN soil EC sensor is based on LoRaWAN spread spectrum technology and features long-distance wireless communication capabilities. It can achieve a communication distance of 2 to 6 kilometers in unobstructed outdoor environments. This enables remote real-time monitoring of soil EC values in large-scale farmland, orchards and other agricultural scenarios without the need to lay a large number of cables, significantly reducing the construction and maintenance costs of the monitoring system. Meanwhile, it is compatible with the standard LoRaWAN protocol, offering flexible and convenient networking. It can be easily integrated with other agricultural monitoring devices (such as weather stations, humidity sensors, etc.) to form an Internet of Things system, providing comprehensive and real-time data support for agricultural production.




    Facilitate automation and intelligent management:


    This sensor can be integrated with automated irrigation and fertilization systems, and automatically control the operation of irrigation and fertilization equipment based on the preset soil EC value threshold. When the soil EC value is too high, it indicates that the soil salinity may exceed the standard. The system can automatically start the irrigation program to carry out the salt leaching operation. When the EC value is too low, it can automatically replenish fertilizer to achieve precise fertilization. In addition, by integrating big data analysis and artificial intelligence technology, it is possible to predict the trend of soil nutrient changes based on historical EC value data and crop growth conditions, providing more scientific and precise decision-making suggestions for agricultural production and promoting the development of agriculture towards intelligence and precision.
      • Summary:

        The significance of the soil EC sensor lies essentially in transforming the "invisible" soil salinity status in traditional agriculture into "quantifiable and controllable" data, thereby achieving a leap from "empirical planting" to "precise planting". It can not only directly increase crop yield and quality and reduce resource waste, but also protect soil health for a long time, providing technical support for the sustainable development of agriculture. It is an indispensable core equipment in modern agricultural production.



The reason why LoRaWAN solar soil EC sensor can become the "soil doctor" of smart agriculture lies in its deep integration of soil conductivity (EC) precise sensing technology, solar autonomous power supply technology, and LoRaWAN low-power long-distance transmission technology, achieving the core requirements of "no wiring, long-term duty, and precise monitoring". Its working principle can be broken down into four key modules, forming a complete closed loop from soil parameter collection to data terminal application.

1、 Core Perception Layer: Measurement Principle of Soil EC Value and Associated Parameters

The core function of sensors is to accurately capture soil EC values (reflecting salinity/fertility), moisture, and temperature. The measurement principles of these three parameters directly determine the accuracy of the data and are also the basis for guiding agricultural management.


  • Soil EC value (conductivity) measurement: quantitative capture of ion conductivity characteristics
The soil EC value is essentially an indicator of the conductivity of soluble ions (such as nitrogen, phosphorus, potassium, sodium, calcium, etc.) in the soil. The higher the ion concentration, the greater the EC value. The sensor adopts the dual electrode method (or four electrode method) to achieve EC value measurement, and the core principle is as follows:
Electrode structure: The sensor probe is equipped with 2-4 corrosion-resistant metal electrodes (usually made of 316 stainless steel or titanium alloy to prevent corrosion by soil salts). After insertion into the soil, the electrodes form a "conductive circuit" with the soil;
Signal excitation: The device applies a stable low-frequency AC voltage (usually 50-1000Hz to avoid soil polarization effects affecting measurement accuracy) to a pair of "excitation electrodes", forming a uniform electric field in the soil;
Current collection: Another pair of "measuring electrodes" synchronously collect the weak current generated by the directional movement of ions in the soil (the current size is positively correlated with the ion concentration);
Data calculation: Soil resistance is calculated based on Ohm's law (R=U/I), combined with geometric parameters such as electrode spacing and insertion depth. The soil conductivity is calculated using the formula EC=K/(R × L) (where K is the electrode constant and L is the electrode spacing), and the final output unit is μ S/cm or mS/cm.
Note: Compared with the dual electrode method, the four electrode method can effectively eliminate the interference of electrode soil contact resistance, and has higher accuracy in extreme scenarios such as saline alkali land. The measurement range can cover 0-20000 μ S/cm with an error of ≤ 3%.


  • Soil moisture measurement: application of frequency domain reflectometry (FDR) technology
Soil moisture is closely related to EC value (moisture is the medium of ion transport), and sensors usually use FDR (frequency domain reflectometry) technology to measure soil volumetric moisture content. The principle is as follows:
High frequency signal transmission: The probe is equipped with a high-frequency oscillator, which emits high-frequency electromagnetic waves of 100MHz-1GHz to the soil. When the electromagnetic waves propagate in the soil, different "dielectric constants" will be generated due to different soil moisture contents (dry soil dielectric constant is about 3-5, pure water is about 80, and the higher the moisture content, the larger the dielectric constant);
Signal reflection and reception: Some electromagnetic waves are reflected back to the sensor by soil particles, and the receiving module captures the phase difference and amplitude attenuation of the reflected signal;
Moisture conversion: By using a preset "dielectric constant moisture content" calibration curve (which needs to be calibrated in advance for different soil types, such as clay, loam, and sandy soil), the characteristic values of the reflected signal are converted into soil volume moisture content (unit:%), with a measurement accuracy of ± 2% (0-50% moisture content range).



  • Soil temperature measurement: temperature resistance characteristic conversion of thermistor
Temperature can affect the measurement accuracy of soil EC value and moisture (for example, an increase in temperature can accelerate ion movement, resulting in a larger EC value), so it is necessary to measure temperature synchronously for "compensation calibration". The core uses NTC thermistor:
Component characteristics: The resistance value of NTC thermistor decreases exponentially with increasing temperature, and it has the characteristics of high sensitivity (resistance change can reach thousands of ohms in the range of -40 ℃ to 80 ℃) and fast response (≤ 1 second);
Signal conversion: The device applies a constant current to the thermistor, measures the voltage change at both ends of the resistor (U=IR), infers the resistance value, and then compares it with the "temperature resistance comparison table" of the thermistor to convert the soil temperature, with an accuracy of ± 0.5 ℃ and a resolution of 0.1 ℃;
Compensation function: Real time temperature data is fed back to the EC value and moisture measurement module, and errors caused by temperature fluctuations are corrected through algorithms (for example, for every 1 ℃ increase in temperature, the EC value increases by about 2%, and the deviation needs to be deducted proportionally).


2、 Energy supply layer: complementary dual energy of solar energy and batteries

Sensors need to be unmanned in the field for a long time, so the solar powered autonomous power supply system is the guarantee for their stable operation, and the core is the collaborative work of "solar charging+battery energy storage":


  • Solar energy conversion: efficient application of photoelectric effect
Solar panel selection: Single crystal silicon solar panels (with a photoelectric conversion efficiency of 20% -24%, higher than polycrystalline silicon) are used, with an area usually ranging from 50-100cm ². They can output 5-10 Wh of electricity under a daily average of 4 hours of light;
Charging management: equipped with MPPT (Maximum Power Point Tracking) charging controller, real-time tracking of the maximum power output point of the solar panel (such as automatically adjusting voltage and current when the light intensity changes to avoid energy waste), efficiently transmitting electrical energy to the battery;
Anti reverse charging protection: When there is no light at night or in rainy weather, the controller automatically cuts off the connection between the solar panel and the battery to prevent the battery from discharging in reverse to the solar panel and extend the battery life.
  • Battery energy storage: Long term low self discharge design
Battery type: Using lithium thionyl chloride battery (Li SOCl ₂), the capacity is usually 4000-19000mAh, with ultra-low self discharge rate (annual self discharge ≤ 1%, far lower than the 5% -10% of lithium batteries), wide temperature working range (-55 ℃ to 85 ℃), and a lifespan of up to 6-10 years;
Energy allocation: The battery prioritizes supplying power to the "sensing module" (EC, moisture, temperature measurement) and "transmission module" (LoRa communication), only activating high-power components during measurement and transmission, and entering sleep mode (sleep current ≤ 10 μ A) when idle, maximizing battery life.



3、 Data transmission layer: Low power long-distance communication using LoRaWAN protocol

The EC value, moisture, and temperature data collected by sensors need to be remotely transmitted to a cloud platform, relying on the LoRaWAN protocol to achieve the communication requirements of "low power consumption, long distance, and wide coverage"


  • LoRa physical layer: Spread spectrum technology for long-distance transmission
Modulation method: Using LoRa spread spectrum modulation technology (based on CSSChirp Spread Spectrum), the data signal is loaded onto a "linear frequency modulation signal" (such as linearly sweeping from 200kHz frequency to 400kHz). This method has strong anti-interference ability, and even if the signal is submerged by noise, it can still recover the data through demodulation;
Transmission distance: In open farmland scenes, the coverage radius of a single gateway can reach 5-15km; in obstructed scenes such as orchards and hills, the coverage radius is 2-5km, far superior to short-range communication technologies such as Bluetooth (100 meters) and Wi Fi (1 kilometer);
Power consumption control: Adopting the "Class A" working mode (a low-power category defined by the LoRaWAN protocol), the sensor only wakes up briefly during "upstream data transmission" (such as uploading data every 10-24 hours, with customizable intervals) and "downstream receiving instructions" (such as remotely modifying sampling intervals), and sleeps during the rest of the time, with a single transmission power consumption of only a few millijoules.



  • Data transmission process: Link from sensors to the cloud
Local data processing: Sensors convert EC values, moisture, and temperature data into digital signals and compress and encode them (such as using JSON or binary formats to reduce data volume, with a single transmission of only 50-100 bytes);
Gateway reception and forwarding: Data is sent to nearby LoRaWAN gateways through LoRa RF modules. The gateway converts LoRa signals into Ethernet/4G signals and forwards them to cloud network servers (NS);
Cloud data parsing: The network server verifies the legitimacy of the data (such as device ID, encryption key), and then forwards it to the application server (AS). The application server parses the raw data into readable EC values (such as 800 μ S/cm), moisture content (such as 60%), temperature (such as 25 ℃), and stores them in the database.


4、 Data application layer: accuracy guarantee for calibration and compensation

The raw data needs to be calibrated and compensated before it can be truly used for agricultural decision-making, which is a key step for sensors from "data collection" to "value output":

  • Soil type calibration: eliminate interference from soil texture
The particle structure and organic matter content of different soil types (such as clay, loam, sandy soil) vary, which can affect the measurement results of EC value and moisture. Sensors usually have built-in calibration libraries for multiple soil types (such as 10-20 common soils), and users can select matching soil types through mobile NFC or cloud platforms. The device automatically calls the corresponding calibration algorithm to correct measurement deviations (such as deducting the adsorption effect of soil particles on current when measuring the EC value of sand).
  • Temperature and humidity cross compensation: correcting the impact of environmental factors
Temperature compensation: As mentioned earlier, for every 1 ℃ change in temperature, the EC value changes by about 2%, and moisture measurement may also have errors due to changes in dielectric constant. The equipment uses real-time collected soil temperature to linearly or nonlinearly correct the EC value and moisture data;
Air humidity compensation: The sensor host housing is equipped with an air humidity sensor. If the air humidity is too high (such as during the rainy season), it may cause condensation on the probe surface, affecting electrode conductivity. The device will determine whether to pause the measurement or correct the data based on the air humidity data.
Summary: Principle collaboration achieves "unmanned precise monitoring"
The principle of LoRaWAN solar soil EC sensor is essentially "multi technology collaboration": precise sensing of soil parameters is achieved through electrode method+FDR technology, outdoor power supply problems are solved through solar energy+lithium-ion batteries, long-distance low-power transmission is achieved through LoRaWAN protocol, and data reliability is guaranteed through calibration compensation algorithm. It is the seamless cooperation of these four modules that enables it to achieve the core value of "continuous output of high-quality soil data without manual intervention after deployment" in scenarios such as fields, orchards, and saline alkali land, providing a data foundation for precise management of smart agriculture.



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