Security monitoring intelligent management system based on big data Internet of Things

Abstract

The invention discloses a security monitoring intelligent management system based on a big data Internet of Things. The system comprises a track section division module, a track section image acquisition module, an obstacle recognition and analysis module, a safety database, a station statistics module, a station waiting crowd image acquisition module, a waiting area crowd statistics module, a voice prompt terminal, a station stopping parameter detection module, a station historical average pedestrian volume analysis module and a parameter processing center. The management server and the background display terminal are used for obtaining the comprehensive danger coefficient of the urban rail transit operation by fusing the rail danger coefficient, the station waiting passenger danger coefficient, the parking danger coefficient and the passenger flow danger coefficient corresponding to the urban rail transit. The method makes up the defect that the monitoring index of the current urban rail transit operation safety supervision means is too single, improves the reliability of the monitoring result, and meets the requirements of comprehensiveness and reliability of the current urban rail transit operation safety supervision.

Description

technical field [0001] The invention belongs to the technical field of safety monitoring and management, relates to rail transit safety monitoring technology, and specifically relates to a safety monitoring intelligent management system based on the big data Internet of Things. Background technique [0002] With the development of my country's market economy and the continuous improvement of the overall living standards of the people, the travel needs of urban residents are increasing. Urban rail transit has been favored by the majority of urban residents for its high speed, safety and reliability, punctual comfort, and large capacity. It has become one of the most convenient and efficient ways to travel in the current city. However, while urban rail brings great convenience to citizens' travel, its existing safety problems are gradually emerging. For example, the safety of passengers waiting on the platform of the station. When passengers are waiting on the platform of the ...

AI Technical Summary

Problems solved by technology

For example, the safety of passengers waiting on the platform of the station. When passengers are waiting on the platform of the station, some passengers will cross the safety line of the waiting area of ​​the platform and wait for a long time. This is not only not conducive to getting off the passengers, but also brings danger to themselves. Therefore, the safety supervision of urban rail transit operation is becoming more and more important.

[0003] At present, most of the safety supervision methods for urban rail transit operations are only to supervise the safety status of passengers waiting on the station platform, and the monitoring indicators are too single, which does not take into account the track safety status of urban rail transit, the safety status of stops and the safety of the flow of people. The influence of the situation on the safe operation of urban rail transit makes its monitoring results unable to comprehensively reflect the safety status of urban rail transit operation; and the current supervision method for the safety status of passengers waiting on the platform of urban rail transit stations is manual supervision by staff. The supervision method is inefficient, and due to the limitations of manual supervision, supervision omissions are prone to occur, resulting in low supervision reliability. It can be seen that the current safety supervision methods for urban rail transit operations cannot meet the current safety supervision requirements for urban rail transit operations. Comprehensiveness and Reliability Needs

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