Disaster cellular alarm linkage system based on interval argumentation multi-sensor fusion of particle swarm optimization

Abstract

The invention discloses a disaster cellular alarm linkage system based on interval argumentation multi-sensor fusion of particle swarm optimization. The system comprises a fire monitoring alarm linkage system, a public fire alarm system and a property management platform, and is characterized in that the fire monitoring alarm linkage system comprises access control terminals of building doors of all units of a community and cellular user terminals, and emergency alarm switches are arranged on both a real estate management platform and the fire monitoring alarm linkage system; the public fire alarm system comprises a CO sensor, a smoke sensor, a temperature sensor and an alarm controller which are arranged in a resident of a community, and a fire judgment data fusion algorithm based on IPSO optimization interval demonstration multi-sensor fusion is arranged in the alarm controller. According to the present invention, the fire monitoring and alarming linkage system is matched with the public fire alarming system to work, the automatic fire alarming and the manual fire alarming are integrated, and the uncertainty of the sensor measurement data is eliminated based on the fire judgment data fusion algorithm based on IPSO optimization interval demonstration multi-sensor fusion.

Description

technical field [0001] The invention relates to the field of edge intelligence technology, in particular to a disaster cellular alarm linkage system based on particle swarm optimization-based interval argumentation and multi-sensor fusion. Background technique [0002] The rapid development of modern science and technology has brought about the continuous improvement of people's living standards, but the disasters and disasters faced by human beings are also increasing, and the coping methods and difficulties are also constantly improving. For example, with the acceleration of urbanization and the rapid increase of urban building density, the buildings people live in are getting higher and higher, and the fire risk coefficient of large buildings and residences is constantly increasing. The fire problem needs to be paid attention to urgently. In time, the fire cannot be extinguished in the bud in time, people cannot escape in time, and it is easy to cause serious threats to p...

AI Technical Summary

Problems solved by technology

Among them, respiratory infectious diseases are one of the most common infectious disease outbreaks in my country. In recent years, the overall trend has been on the rise. However, prevention and control methods and scientific and technological research and development facilities have not kept up with the development of the epidemic, especially for some residential areas, especially Residential areas such as old residential areas and urban villages, these residential areas have the characteristics of agglomeration, large population, and complexity, limited by technical capabilities, and their epidemic prevention and control methods are too outdated. Most of them use "civil defense" and lack basic facilities for epidemic prevention and control , resulting in poor prevention and control effects and high costs during the spread of the epidemic, which greatly increases the workload of artificial prevention and control and the infection risk of staff

Since the current epidemic monitoring can only stay at the stage of after-the-fact investigation, the existing epidemic monitoring methods only record the movement track of the monitoring personnel, and are not directly related to the temperature information of the personnel, so it is impossible to detect patients infected by the disease in time. In addition, there is currently no alarm linkage method that integrates unit building security monitoring, alarm and epidemic monitoring and reporting

Images