Why do we need to use the Internet of things in smart forestry informatization? In recent years, informatization has deepened and deepened the guiding, supporting and radiating functions in all aspects of forestry reform and development, achieving remarkable results, achieving the deep integration, mutual promotion and coordinated development of forestry business and information technology, changing the management mode, expanding the scope of services, innovating the service form, playing an increasingly prominent role, significantly improving the status, and expanding the impact rapidly, becoming a strategic move to the overall situation of forestry work, and an inevitable choice to realize the modernization of forestry management.

To realize intelligent forestry information management, we need to summarize and analyze the detailed data of the whole forest area, so that we can make macro adjustments to the whole forest area and ensure the healthy development of forest industry. The detailed data acquisition in the whole forest area depends on the sensor data collected in each grid area of the entire forest area. Data transmission to the management center requires specific means of transmission.

At present, communication has entered the era of 5G, and the transmission speed has increased rapidly. However, the transmission technology of high broadband is not suitable for forest area application scenarios. The traditional data collector has many limitations in the forest area environment, which restricts the detailed data collection and management in the whole forest area.

Forestry Ecology

What are the difficulties in forestry data collection in smart forestry?

Difficult maintenance, poor performance and low accuracy.

Information such as soil moisture, air humidity, light, PM2.5, pests and dangers in forestry plays an important role in regional information dissemination and forestry protection. At present, forestry mainly adopts artificial information collection. In some areas, traditional sensors and wireless transmission technologies are adopted.

First, maintenance is difficult: Forestry data collection, manpower and material consumption is large, data collection is single, processing disjointed, and information release is not timely.

Two. Poor performance: Traditional outdoor sensors need high power supply, difficult power supply, poor linkage, poor expansibility and poor defense capability.

Three. Low accuracy: The transmission of forest in mountain area is unstable and data transmission is easy to lose.

Forestry Data Acquisition Based on NB-IoT/LoRaWAN

Cloud sensing Internet of things The smart forestry ecosystem monitoring system based on NB-IoT/LoRaWAN's forestry data acquisition scheme can The parameters such as temperature, humidity, illumination, PM2.5, wind direction, rainfall, snow, hydrological information, species statistics and noise decibel were collected and recorded at the time of monitoring points in the forest area. The monitoring data were stored and intelligently analyzed, and the comprehensive information release and early warning of forest area were realized.

Device structure of Internet of things

Specific application scenarios are as follows:

Scene 1: forestry ecological environment monitoring and comprehensive information release.

adopt Cloud sensing Internet of things The intelligent forestry ecological monitoring system can automatically inspect the real-time environmental data of the forest area through computers and mobile phones, including information on air humidity, air temperature, soil temperature, soil moisture, illumination and PM2.5. Users can directly view the curves of forest area's environmental data and publish the comprehensive information of forestry environment in time.

2:24 hour intelligent early warning monitoring

Combined with smoke sensor. Cloud sensing Internet of things The intelligent forestry ecological monitoring system overcomes the terrain obstacles and realizes the early warning and monitoring of forestry safety problems. Once the sensor threshold alarm is triggered, the system reminds the corresponding manager according to configuration, through SMS, system message and remote call.

Cloud sensing Internet of things helps promote rapid development of forestry Internet of things

Forestry Data

Huge demand for smart forestry data acquisition And belong to Forestry key demand , Cloud sensing Internet of things The NB-IoT/LoRaWAN technology will greatly reduce the cost of forest area data acquisition, greatly enhance the feasibility of the comprehensive promotion of intelligent forestry data collection, and realize the real-time release of forestry comprehensive information and the prevention and control of disaster risk.

At present, in the downstream businesses of forestry Internet of things, there are cloud based sensors and hardware vendors, application providers, China Mobile and other basic operators and industry regulators. Through multi-party collaboration, the cost of programme deployment can be reduced, and the rapid development of forestry Internet of things will be promoted.