In April, there are many fires. How to prevent them from burning?
日期：2020-04-30
There are frequent mountain fires in China. In April alone, fires broke out in Penglai, Shandong Province, Xichang, Yunnan Province, Yiliang, Linzhi, Tibet, Panzhihua, and Lijiang, Yunnan Province.
Why does our country suffer from the mountain fire?
In terms of natural conditions, extreme weather activities such as high temperature, drought, gale, thunderstorm are frequent in some areas of China in spring and summer, and the combustible load in forest area is increasing. Once encountering high temperature, gale and other weather conditions, it is very easy to cause fire. It is understood that in recent years, many provinces with rapid growth of forest resources have more and more fire prevention pressure, and Beijing, Hebei, Shanxi and other provinces with few fires in the past have also increased in recent years.
Compared with frequent fires, some local professional teams and grass-roots fire prevention and fighting forces are still insufficient, specifically for the full-time forest fire brigade of the emergency management system has not been fully covered, and there are short boards in the construction of emergency rescue and aviation fire fighting forces. In addition, the reform of grass-roots fire prevention and control system has not been completed, especially the organization of fire prevention and control at the municipal and county levels is still in the process of adjustment and rationalization. All kinds of factors have brought great challenges to the fire fighting work.
It is urgent to promote intelligent fire fighting
Fire is one of the major disasters threatening the public safety and social development. According to the research and calculation of the world Fire Statistics Center and the European community, if the direct loss of fire accounts for 2 ‰ of the GDP, the loss of the whole fire will account for more than 10 ‰ of the GDP.
With the rise of Internet, Internet of things, artificial intelligence AI technology, it is the general trend to upgrade the traditional management mode by using the new generation of information tools, and fire risk control management is no exception. Intelligent fire protection is to collect big data of fire protection, integrate other system data of Intelligent City, calculate, summarize, analyze and evaluate the data, and use the Internet + fire protection to achieve "intelligent fire prevention, accurate fire control supervision, flat fire fighting and rescue".
Intelligent security is very important
The foundation of emergency response to mountain fire is fire early warning. The continuous development of disaster early warning technology will also reduce the risk of secondary disasters and economic losses, reduce casualties, and promote the modernization of emergency management system.
In addition to fire warning, science and technology can also play a role in fire fighting. At present, UAV, remote video monitoring, radar positioning technology, emergency intelligent system have been applied. For the whole intelligent security system, it is a combination of these intelligent devices. In this system, each set of equipment is responsible for its own, forming an effective whole to build a security system.
Public security concerns everyone's safety and even life. Pegasus is deeply aware that the improvement of each cable management ability, the harmonious treatment of human-machine environment and the efficient work and accuracy improvement for operators are behind the safer citizens and more harmonious society. The Pegasus console can well complete the functions of police situation processing, dispatching and command, linkage and cooperation, auxiliary decision-making, information processing, combat readiness supervision, comprehensive research and judgment, etc. The responsibility of safety is as heavy as Mount Tai. Life in front of the fire is small and fragile. Using advanced security equipment to eliminate fire hazards in time, it is urgent to change from passive defense to active prediction and early warning.
