Soil moisture monitoring system solution under NB-IoT

Soil is the substrate for the life of terrestrial plants and the life of terrestrial animals. Soil not only provides essential nutrients and water for plants, but is also a habitat for soil animals to survive.

The soil moisture monitoring system can realize long-term continuous monitoring of soil moisture (soil moisture). Users can flexibly arrange soil moisture sensors according to monitoring needs; they can also arrange sensors at different depths to measure soil moisture in the profile. The system also provides additional expansion capabilities. Corresponding sensors can be added according to monitoring requirements to monitor soil temperature, soil conductivity, soil pH, groundwater level, groundwater quality, air temperature, air humidity, light intensity, wind speed, direction, rainfall, and other information The soil moisture monitoring system can comprehensively, scientifically and truly reflect the soil changes in the monitored area, and can provide timely and accurate soil moisture status at each monitoring point.

System composition

Jixun Soil Moisture Monitoring System effectively utilizes the Internet of Things technology, wireless communication technology, big data technology, etc. to collect and transmit real-time soil conditions, helping users to fully, scientifically and truly grasp the soil changes in the monitored area, and can be timely , Accurately provide the soil moisture status of each monitoring point, and provide important basic information for flood prevention and drought relief work.

The soil moisture monitoring system of Jixun consists of three parts: the front-end collection layer, the data transmission layer, and the management center.

Front-end collection layer: The front-end collection device can collect information such as soil moisture, PH value, groundwater level, light intensity, rainfall, etc., and monitor the data continuously for 24 hours, which facilitates the back-end to monitor the soil environment in real time.

Data transmission layer: The main equipment of the data transmission layer is the computer terminal TW810, which uses the NB-IoT wireless network to transmit the data front-end data, and NB-IoT has extremely low power consumption. In theory, a battery can be effectively used for 10 years.

Management Center: The management center displays the soil data in real time through the Cloud Computing Management Cloud Platform. The platform has its own alarm function. According to the set threshold, once abnormal data occurs, it will automatically alarm, and the alarm information will be sent through the platform, SMS, APP, etc. Reach the person in charge.

System Features

1. NB-IoT has the characteristics of multiple connections and low power consumption. It can access multiple sensors at the same time and collect diversified soil moisture parameters, including soil temperature, humidity, PH value, conductivity, etc., and report the collected information in real time data center.

2. The computer adopts low temperature resistant materials, has high EMC electromagnetic compatibility, wide pressure, super moisture-proof, lightning-proof, and anti-electromagnetic interference capabilities to adapt to various harsh environments.

3. Diversified data viewing modes: data can be viewed in real time through web, mobile APP, WeChat applet and other modes.

4. The user can configure the sensor alarm conditions for the equipment, and preset several common soil alarm configurations. If the preset conditions are exceeded, the system will automatically send an alarm notification through the PC platform, mobile phone, and SMS, and notify the management personnel to deal with the alarm event in time.

5. Collect soil data from the soil moisture monitoring site for storage and statistics, sort out and display according to the set screening conditions, realize multi-point data synchronization analysis and comparison, and make observations more targeted.

System platform

1. Soil monitoring system

Various statistical charts can be dynamically generated for soil nutrient, soil conductivity, pH value and other data to facilitate and intuitively view changes in soil-related data.

2. Weather monitoring system

Weather data can be obtained in real time, as well as rainfall, wind speed, temperature, light and other data, so that it is convenient to deal with some situations in the monitored area in time according to the weather conditions.

3. Remote control system

The front-end sensor acquisition parameters can be adjusted remotely, and data reporting conditions can be controlled to reduce transmission consumption.

4. Early warning system

According to the big data combined with the current environment and soil details, a forecast report can be issued, which is convenient for users to make relevant adjustments to the monitoring area in time to avoid major losses.

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Origin blog.csdn.net/qq_44149040/article/details/108800058