In forest-area monitoring applications, Guangzhou Tongwei Smart Technology Co., Ltd. (Tongwei Smart) connects weather stations, soil temperature and humidity probes, electronic scales, and litter moisture detection equipment to one IoT data path. The gateway selected is a BEC series supporting edge gateway. It acts as the on-site smart IoT gateway, completes serial collection, and then connects to Tongwei Cloud over 4G. The project’s own algorithm analyzes litter moisture state from the collected data and provides a reference for forest fire-prevention assessment. This is a supporting application of an industrial-grade AIoT solution. The focus is to form traceable on-site data according to the collection cycle set by the project.
Why is litter moisture state worth observing continuously?
Litter in a primary-forest sample plot changes with the weather and on-site conditions. A single manual measurement can describe one point in time, but it can hardly show the change that follows. The point of monitoring on a set cycle is to place each reading back into the time series and the surrounding environment, so managers know when the data changed and whether the change continued, and then act together with forest-area patrol and professional judgment.
Moisture content is not the same as weather conditions, and it cannot by itself decide whether a fire will occur. It is an on-site indicator that can be observed and analyzed. Placed together with weather and soil data, it helps explain environmental change around the monitoring point and gives fire-risk assessment more basis.
How does one monitoring point organize its data?
In this forestry IoT application, the system includes several complementary data sources:
- Weather station: collects, according to the project configuration, weather parameters such as air temperature and humidity, wind speed and direction, precipitation, and light or radiation, to describe the weather background at the monitoring point.
- Soil temperature and humidity probe: records temperature and humidity in the soil layer. It and litter moisture content are different measurement objects, and the data should be labeled and interpreted separately.
- Litter detection equipment: the project places detection positions at three layers for the algorithm to analyze litter moisture state. Layer correspondence and reading conversion should follow the project’s calibration and joint-commissioning records.
- Electronic scale: records litter weight as a separate indicator. Weight helps supplement observation of changes in the sample or the monitored object, but the weight value cannot be taken directly as moisture content.
- Solar power system: supplies power to the field monitoring station. If battery or charging status is to be used as platform data, the controller interface still has to be confirmed and the connection completed.
After on-site data reaches Tongwei Cloud through the BEC1000 gateway and 4G, the project algorithm processes it according to the defined relationships of site, time, measurement point, and data. Managing measurement-point names, timestamps, units, and equipment status together reduces the difficulty of explaining a value that appears to have changed when it is not clear which layer or device it came from.
How is algorithm output used in fire-prevention work?
The role of the project’s own algorithm is to form analysis results related to litter moisture content from the monitoring data, and to support observation of the change trend. Forestry managers can combine these results with on-site patrol, weather information, and existing work procedures, and use them as a reference for risk identification and patrol planning.
Between usable data and a usable judgment, clear business rules are still needed: which missing data is left out of analysis, how a probe fault is marked, how sample plots correspond to layers, and when algorithm output prompts a human review. The rules should be set during project joint commissioning and on-site verification. A set of generic thresholds cannot replace local management requirements. For Tongwei Smart’s AIoT solution support, these data rules, like on-site equipment connection, have to be included in single-site joint commissioning.
This kind of system provides a basis for monitoring and analysis. It is not automatically the same as a fire-risk warning issued by the forestry authority, and it does not replace on-site patrol, command, or emergency response. If open-flame detection or fire-system linkage is required, the equipment, interfaces, responsibility boundary, and acceptance requirements should be confirmed separately.
Interpretable results start from data quality
For a trend to be meaningful, site equipment needs a common time base and measurement-point identifiers. Faults of the gateway, communications, and sensors should also leave status information. Scale weight, soil-probe readings, and litter-probe results should be stored as different variables. Units should not be mixed, and the variables should not directly stand in for one another.
The sensor’s measurement object needs particular attention. The tube-type soil moisture meter manual cited in the project documents mainly describes soil temperature and humidity measurement. If the equipment is placed in the litter layer, the probe installation method, the definition of the three layers, and moisture conversion should have corresponding sample-plot verification records. Accuracy stated for a soil setting cannot be used directly as the accuracy of litter measurement.
Start verification from a single monitoring station
The value of forest litter moisture monitoring is not the number of sensors. It is whether the data can be collected steadily, interpreted correctly, and enter the actual work process. First use one representative monitoring point to check equipment interfaces, layer definitions, 4G coverage, solar power, data completeness, and algorithm output, then decide whether to expand according to the on-site verification result.
Tongwei Smart can carry out a solution-support assessment around the forest-area point list and equipment list. To discuss a pilot, first prepare the monitoring objects, sensor models and interfaces, measurement-point locations, power conditions, and the patrol judgments to be supported, so that data collection and the business goal line up when the project starts.
Frequently asked questions
- Can litter weight be converted directly into moisture content?
- It cannot be treated as the same thing. Weight is a separate observation. A moisture-content result should be interpreted according to a defined measurement, the probe data, and the project algorithm.
- Can the monitoring result directly decide whether a forest fire will occur?
- No. The system provides analysis of moisture state and environmental data and helps add a basis for assessment. An actual fire-risk judgment still has to combine local rules, professional staff, and on-site information.
- Are the readings of the three-layer probe the litter moisture content at three depths?
- They can be interpreted that way only after the layer definition, the installation method, and the calibration relationship have all been confirmed by the project. The layered description in the probe manual is written for soil measurement and cannot be applied directly to litter without verification.