Fires occur from time to time: According to the statistics of the Office of the National Forest and Grassland Fire Control Headquarters, in 2018, a total of 2,478 forest fires occurred across the country (including: 1,579 general forest fires, 894 large forest fires, 3 major forest fires, 2 major forest fires), the affected forest area was 16,309 hectares, and 39 people were injured or killed (23 of them died).
The state attaches great importance to: With the approval of the State Council, the State Forestry Administration, the National Development and Reform Commission, and the Ministry of Finance jointly issued the National Forest Fire Prevention Plan 2016-2025. In the next ten years, my country plans to invest 45.095 billion yuan, focusing on the implementation of the six major construction tasks of forest fire early warning and monitoring system, communication and information command system, forest firefighting team capacity, forest aviation fire fighting, forest fire blocking system, and forest fire emergency road, and vigorously strengthen Construction of early warning and monitoring system; development of forest fire early warning model, new 1,500 forest fire comprehensive detection stations, 5,425 new video surveillance systems, 850 watch towers, and 1,482 renovated watch towers. The coverage rate of fire watch towers in key areas has increased from the current 68.1 % increased to 95%. More and more attention has been paid to the construction of forest fire prevention informatization, and it is imperative to build a high-standard, high-quality, and useful forest fire prevention early warning system.
System introduction
The forest fire prevention and early warning decision-making system aims to make scientific planning and unified layout based on the company's more than ten years of industry experience, according to the landform characteristics, vegetation characteristics and climate characteristics of different regions, and focus on "practicality". The traditional monitoring methods such as manual inspection and mountain observation are replaced by digital intelligence, and the collected image information and sensor data are transmitted to the command center through the network, and big data analysis and GIS (geographical information system) are used to detect smoke and fire sources in real time. It can issue early warning and realize positioning, and at the same time generate the best rescue plan to control the fire danger in the bud. In order to improve the comprehensive management ability of forest fire prevention and fighting, the forest fire prevention work will develop in the direction of modernization, scientificization, institutionalization, legalization and specialization.
System Components
The whole system consists of three parts: front-end system, transmission system and command center system.
The front-end system includes: dual-spectrum thermal imaging integrated camera, anti-theft camera, shouting system, handheld terminal, various sensors and other acquisition equipment; power supply system (farmland electricity or wind-solar hybrid); installation of base stations (observatories, operator towers or new towers) );
The transmission system includes: optical fiber or broadband wired transmission and microwave wireless transmission; the command center system includes: fireworks identification and early warning system, GIS auxiliary decision-making system, central storage, large screen, etc.
System Features and Benefits
High recognition rate - dual recognition of fireworks
The system adopts domestic leading machine vision, digital image processing technology and dual-mode recognition technology. It has visible light to identify smoke during the day, forest fire at night, thermal imaging to identify forest fire all day, synchronous identification, and intelligent early warning. Fireworks recognition accuracy.
Low false positive rate - deep learning
Through a period of deep learning, the system can automatically shield the false alarms caused by some interference sources (such as chimneys, solar panels, vehicles), thereby reducing the false alarm rate. The accuracy rate of pyrotechnic identification is >98%, the false alarm rate is <2 times per 10,000 hectares per day, and the false alarm rate is <1‰.
High positioning accuracy - high precision, high load
The system adopts the high-precision intelligent heavy-duty gimbal/turntable developed and designed by our company with reference to national standards, which is suitable for various harsh environments in the forest area. It integrates the characteristics of heavy load, high speed, high precision and high reliability. Its control accuracy can reach 0.01°, and the preset repeatability is less than 0.1°. At the same time, the visible light imaging system and thermal imaging system have patented optical axis calibration mechanism , which can effectively ensure that the target image does not shift under each field of view, so as to achieve high-precision fire source positioning combined with the back-end GIS system.
Strong compatibility - support multi-system, multi-sensor access
The system platform can realize the perfect combination of daily office and emergency command, especially supports multi-sensor access, multi-subsystem access, and in-depth integration and docking of upper and lower command centers.
High reliability - humanized design
The core software and hardware of this system are independently developed by our company and have independent intellectual property rights. At the beginning of the design, the harshness of the use environment, the difficult construction in the early stage and the high maintenance cost in the later stage were fully considered.
It has the following characteristics: high precision front-end machine adopts integrated design, split installation, easy installation. The core components are independently developed and produced, and the plug-in design is adopted. Later maintenance does not require dismantling the whole machine, and can be repaired on site. The whole front-end machine is equipped with lightning protection, defrosting and anti-shake devices according to national standards. At the same time, it can be equipped with a heating and cooling system according to the local climate characteristics to ensure normal operation under different conditions. The back-end platform has the functions of remote device diagnosis, running status monitoring, remote upgrade and restart.
Introduction to software platform
The forest fire prevention early warning and decision-making system focuses on the early warning and forecast of fire and emergency command and management, integrates advanced video monitoring and alarm methods, and cooperates with modules such as video analysis, meteorological collection, foreign enterprise management and control, GIS maps, and decision-making command to build an intelligent fire prevention system. .
The system is supported by the basic spatial database, forestry thematic database and protection database, and realizes the whole process, all-round, integrated dynamic management and control and early warning decision support platform of "before, during and after disaster" in three-dimensional scenarios. It provides technical support and scientific basis for decision-making such as early warning, forecast, rescue and post-disaster assessment, and provides a strong guarantee for leaders at all levels in decision-making, command and daily management.
