An intelligent traffic safety management system

Abstract

The invention discloses an intelligent traffic safety management system, which comprises an information processing center, an intelligent monitoring and alarming device and a mobile intercom terminal. 24-hour uninterrupted and real-time monitoring and alarming can be realized, the intelligent monitoring and alarming device is adopted, warning is carried out according to multiple different traffic accidents, a policeman is contacted at the first time, safety of the urban traffic can be managed and protected to the largest degree, maintenance processing is carried out while related forces are deployed, and timeliness and effectiveness can be realized.

Description

technical field [0001] The invention relates to a management system, in particular to an intelligent traffic safety management system. Background technique [0002] With the application of Internet of Things technology in traffic management, the increasingly mature intelligent traffic management technology has made outstanding contributions to improving the level of traffic management and improving traffic congestion. Among them, timely and accurate data collection and real-time processing and analysis of on-site data have become important prerequisites and foundations for intelligent transportation technology. Traditional data collection methods mainly include coils, video, and infrared rays. Most of them have shortcomings such as single data, difficulty in individual identification, and inability to provide data preprocessing. [0003] According to the accumulation of long-term on-site experience and related survey data, although most industry applications have been able ...

AI Technical Summary

Problems solved by technology

Traditional data acquisition methods mainly include coils, video, infrared rays, etc. Most of them have shortcomings such as single data, difficulty in individual identification, and inability to provide data preprocessing.

[0003] According to the accumulation of long-term on-site experience and relevant survey data, although most industry applications have been able to use certain technical means in data collection to achieve functions and simple management measures, when the number of devices increases rapidly and the application scenarios are customized , Personalization, especially after incidents involving maintenance management and system security, it is still impossible to respond to alarms in time and accurately locate the source of the incident, which brings great troubles to the application and serious information security risks

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