| Classification Dimensions | Specific Requirements | Applicable Scenarios |
|---|---|---|
| Physical Quantity Sensors | - Pressure sensor: measuring range $600\mathrm{hPa} \sim 1300\mathrm{hPa}$, accuracy $0.03\%$ FS - Flow rate sensor: measuring range $-20\mathrm{m}/\mathrm{s} \sim 20\mathrm{m}/\mathrm{s}$ | Forest environment monitoring, water resources management |
| Chemical quantity sensor | - CO concentration sensor: measuring range $10\% \sim 1000\%$, accuracy $0.1\%$ FS - PM2.5 sensor: measuring range $0\mu\mathrm{g/m^{3}} \sim 999\mu\mathrm{g/m^{3}}$ | Air quality monitoring, ecological research |
| Physiological quantity sensor | - Heart rate sensor: measuring range $0~\mathrm{bit/min} \sim 250~\mathrm{bit/min}$ - Blood oxygen concentration sensor: detection accuracy $85\% \sim 100\%$ is $\pm1\%$ | Forestry resources monitoring, human health analysis |
With the rapid development of forest and grassland Internet of Things, sensors, as core sensing devices, have a direct impact on the accuracy of data collection and the stability of the system. The formulation of GB/T 43816-2024 aims to unify the technical requirements of sensors and ensure their reliability and consistency in complex environments.
Forest and grassland Internet of Things sensors are mainly divided into three categories: physical quantity sensors (such as pressure, temperature, humidity), chemical quantity sensors (such as CO concentration, PM2.5) and physiological quantity sensors (such as heart rate, blood oxygen saturation). Each type of sensor plays an important role in forestry resource monitoring, ecological environmental protection and intelligent management.

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Update:
Tue, 03 Mar 2026 08:48:38 +0000