After more than ten years of hard journey of returning farmland to forestry, forestry has entered a comprehensive development situation, and its management decision-making has entered a new stage, such as forest resource management, forest fire prevention, forest investigation, natural forest protection, wind and sand control and forest pest control, which urgently need new technical means to serve its development. Cloud Sensor Internet of Things is based on its own independent technology in the Internet of Things and other fields. It combines the most advanced technology in sensor, cloud computing, cloud storage and other fields with mature GIS system. It can help people visualize the forest state and development trend of the management area in the form of graphics, data tables and so on, and carry out spatial visualization analysis. The integration of data visualization, geographic analysis and practical application promotes forestry management to a modern and sustainable development path.
Construction of Forest Cloud in Intelligent Forestry Internet of Things

Intelligent Forestry Internet of Things

By applying Internet of Things, Remote Sensing (RS), Cloud Computing, Mobile Internet, Big Data, Intelligent Earth and other technologies, Yungan Internet of Things establishes four-in-one platforms, including Skynet, Ground Network, Human Network, Forest Network and Intelligent Forest Platform. Based on the unified spatial distribution information of forestry resources, Yungan Internet of Things is used for forest resources, wetland resources, desert resources and biodiversity resources management. To implement the national forestry data to the hilltop plot, to provide information on the distribution of forestry resources from macro to micro levels, to establish a forest resources monitoring and management system, to improve the monitoring efficiency, and to meet the needs of forestry decision-making and ecological construction for macro information of forest resources. The system integrates remote sensing image processing, remote sensing information extraction, statistical analysis of results and information database management, and provides functions of remote sensing data processing, forest management classification and interpretation, pest felling and fire information extraction, and information database management.
Implementation of Intelligent Forestry Internet of Things Management System

Materialization Management

The intelligent forestry Internet of things system consists of three layers: the first is the data acquisition layer, which contains state information, fire and pest deforestation information, constitutes the basic database needed by the system, and is updated from time to time; the second is the public information platform of the system, which realizes the management of forest resource status information and forest facies map; the third is the application layer, which provides different users according to different business plates. System.
1. Establishing an assistant decision support system for forest resources supervision is based on the monitoring data of forest resources at all levels, and the dynamic change data of forest resources generated in the process of forest land tenure and harvesting and utilization management are updated to realize the comprehensive management of the status quo and dynamic real-time information of forest resources.
2. Through the application of RFID electronic identity card, the illegal acts of illegal logging, overexploitation, overexploitation, smuggling and reselling can be reduced or even eliminated. Making full use of radio frequency identification technology, establishing a perfect forest electronic label system, and combining with specially designed electronic freight tickets, transport certificates, logging certificates, collection certificates, quarantine certificates, can realize the fine management of the production, transportation, storage and sales of wood and wildlife products, and greatly improve the level of law enforcement, supervision and public service.