Forest resources are one of the most important resources on earth, the basis of biological diversity, and one of the essential resources for human survival. my country is short of resources, of which forest resources are the most scarce. The country has a land area of 9.6 million square kilometers, accounting for about 7% of the world's total, and a population of 1.4 billion, accounting for about 22% of the world's total. However, the forest area only accounts for 4.6% of the world's total. Once a forest fire occurs, a large area of lush and lush forest will be reduced to ashes, causing serious losses to the country and the collective. At the same time, forest land is prone to water and soil erosion, prone to floods, droughts, and sandstorms, affecting the stable and high yields of agriculture, and even affecting the ecological environment and the entire region. sustainable development.
Based on this, Beijing TSC Smart uses Lora Internet of Things wireless communication technology to integrate a variety of advanced forest ecological environment monitoring equipment and launches a smart forestry information system based on "Thinking Brain" that integrates meteorology, hydrology, water quality, and pests and diseases. Monitoring and early warning functions. Each monitoring sub-module operates through long-distance, low-power wireless communication, thereby realizing automatic, real-time, continuous data collection, transmission, analysis, display, alarm and other functions of the entire system, making it easier for managers to grasp the ecological elements of the forest area in real time data.
System functions
Meteorological monitoring:
Through multi-element meteorological monitoring stations, the system can obtain real-time micro-environmental meteorological information at each site in the forest area, such as air temperature, humidity, wind speed, wind direction, light intensity, solar radiation, rainfall, etc., making it easier for managers to grasp forest area meteorological data in real time. At the same time, a complete early warning system can also enable administrators to learn abnormal weather information at the first time, which can effectively avoid disasters.
Hydrological monitoring:
Using advanced profile flow and velocity monitoring equipment, through Lora Internet of Things long-distance wireless transmission and GPRS (4G/3G/2G) communication, the system can obtain hydrological information such as flow, direction, flow speed, water temperature, and water level of rivers and channels in real time.
Water quality monitoring:
Based on Lora's low-power, long-distance wireless water quality monitoring equipment, the system can monitor water quality information such as pH, dissolved oxygen, conductivity, turbidity, chlorophyll, etc. in real time, providing accurate and detailed first-hand data to the competent authorities.
Pest and disease monitoring:
Using intelligent IoT pest monitoring equipment, the system can monitor and collect pest status information in the monitored area in real time, conduct remote diagnosis of pests, and provide early warning information for forestry pests, which can effectively improve the monitoring, prevention, control and management of forest pests and diseases. The level of informatization, automation and technology can meet the requirements of rapid location of pests and diseases, rapid deployment of command and precise management.
System Features
Comprehensive and diverse monitoring equipment:
Using Lora Internet of Things wireless communication technology, meteorological, hydrological, water quality and pest and disease monitoring equipment can be easily deployed at multiple monitoring points.
Easy to deploy and maintain:
Monitoring nodes and monitoring base stations communicate wirelessly through the Lora Internet of Things. The stable communication distance can reach 2500M-8000M without any cables or buried pipes, which greatly improves the convenience of deployment and later maintenance.
Advanced node collection functions:
Sensor nodes have low power consumption, data caching, active reporting and other functions to ensure that data can be uploaded completely and stably during long-term use.
Complete early warning system:
After the system detects abnormal sensor information, it can immediately send early warning information to managers through various methods such as web messages, text messages, and WeChat messages.
Strong scalability:
The system can be connected to cameras for security monitoring, and can also use GIS geographic information technology, software technology, computer network technology, and modern communication technology to establish a forest fire prevention command application software platform to improve the efficiency and informatization level of forest fire prevention management.