Disaster Cellular Alarm Linkage System Based on Particle Swarm Optimization Interval Demonstration Multi-sensor Fusion

Abstract

The invention discloses a multi-sensor fusion disaster cellular alarm linkage system based on particle swarm optimization, which includes a fire monitoring and alarm linkage system, a public fire alarm system and a property management platform. The fire monitoring and alarm linkage system includes building doors of each unit in the community. Access control terminals and cellular user terminals; emergency alarm switches are set on them and the property management platform; the public fire alarm system includes CO, smoke, temperature sensors and alarm controllers installed in the residents of the community. IPSO-optimized interval argumentation multi-sensor fusion fire judgment data fusion algorithm. The fire monitoring and alarm linkage system of the present invention cooperates with the public fire alarm system to realize the integration of automatic fire alarm and manual fire alarm, and the fire judgment data fusion algorithm based on IPSO optimized interval demonstration multi-sensor fusion eliminates the uncertainty of sensor measurement data .

Description

Technical field [0001] The present invention relates to the field of edge intelligence technology, specifically relates to a multi-sensor fusion based on particle swarm optimization of the interval demonstration of the disaster cellular alarm linkage system. Background [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 facing mankind are also increasing, and the methods and difficulties of coping are also constantly improving. For example, with the acceleration of urbanization, the rapid increase in urban building density, the buildings where people live are getting higher and higher, the fire hazard coefficient of large buildings and residences is constantly increasing, and the fire problem needs urgent attention, once a fire occurs, if it is not found in time, the fire cannot be eliminated in time, people cannot escape in time, and it is easy to pose a serious...

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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

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