An artificial intelligence information management system based on multi-sensor fusion

Abstract

The invention discloses an artificial intelligence information management system based on multi-sensor fusion, which includes a fire collection and positioning terminal, a mobile terminal acquisition module, a data fusion processing module, a fire simulation analysis module, a spread trend prediction module, and a fire tracking and calibration module. The artificial intelligence information management system based on multi-sensor fusion provided by the present invention performs data analysis and fusion processing on the collected fire parameter information to analyze the fire combustion hazard level in the detection area where each fire detection unit is located, and combines each detection area The number of mobile terminals in the detection area judges the emergency risk factor of personnel escape in the detection area, realizes the fusion and display of data collected by multiple sensors, has the characteristics of intelligent information management, provides a reliable escape route for the later guidance of personnel escape, and improves personnel security.

Description

Technical field [0001] The present invention belongs to the field of multi-sensor fusion, relates to an artificial intelligence information management system based on multi-sensor fusion. Background [0002] With the occurrence of fire accidents causing a large number of casualties and property losses, fire safety has always been a problem of concern to people, especially for schools, shopping malls and forests that are easy to cause fires, once a fire will cause casualties and property losses, the existing fire detection generally only collects smoke, temperature and other parameters at the fire scene, if smoke or temperature abnormalities are detected, a fire alarm reminder will be issued, which will cause all personnel in the venue to escape at the same time, increasing the congestion of the escape port, and it is easy to cause personnel stampede events to increase the number of casualties. [0003] And the problems in the existing fire detection technology are as follows: it ...

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Problems solved by technology

[0002] With the occurrence of fire accidents causing a large number of casualties and property losses, fire safety has always been a concern for people, especially for schools, shopping malls, and forests that are prone to fires. Once a fire occurs, it will cause casualties and property losses. Existing fire detection generally only collects parameters such as smoke and temperature at the fire scene. If abnormal smoke or temperature is detected, a fire alarm will be issued, which will cause all personnel on the site to escape at the same time, increasing the congestion of the escape exits, and easily causing personnel accidents. Stampede, increasing the number of casualties

[0003] And the problems existing in the existing fire detection technology are as follows: it is impossible to locate and obtain the exact location of the fire, causing all personnel to escape at the same time, increasing the possibility of casualties; it is impossible to analyze the fire data at the fire scene to judge the degree of danger of fire burning , and it is impossible to analyze the emergency danger degree of escape of the personnel at the position according to the distribution of personnel and the fire hazard degree at each position; it is impossible to predict the predicted time when the fire reaches the location where no fire has occurred according to the degree of fire spread, and there is a lack of fire monitoring during the fire monitoring process. Intelligent management, and thus unable to provide the best guidance route and escape sequence for each personnel to escape, etc.

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