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. The system comprises a fire-fighting acquisition and positioning terminal, a mobile terminal acquisition module, a data fusion processing module, a fire behavior simulation analysis module, a spreading trend prediction module and a fire behavior tracking calibration module. According to the artificial intelligence information management system based on multi-sensor fusion provided by the invention, data analysis and fusion processing are carried out on the collected fire parameter information so that the fire combustion danger levels in the detection areas where fire-fighting detection units are located are analyzed, the escape emergency danger coefficient of the personnel in each detection area is judged according to the number of mobile terminals in the detection area, data collected by multiple sensors are fused and displayed, the system has the characteristic of intelligent information management, a reliable escape route is provided for guiding the personnel to escape in the later period, and the safety of the personnel is improved.

Description

technical field [0001] The invention belongs to the field of multi-sensor fusion and relates to an artificial intelligence information management system based on multi-sensor fusion. Background technique [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 incidents increase the number of casualties. [0003] And the problems existing in the existing fire detection technology are as follows...

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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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