Highway safety risk intelligent identification method and system

Abstract

The invention relates to a highway safety risk intelligent identification method and system, and relates to the technical field of risk identification. The method comprises: acquiring geological data information of a region where a road section is located; according to the geological data information, judging whether the road section has potential safety hazards or not after analysis; if yes, sending out warning information to block the road section; if not, continuing to collect the address data information of the road section; acquiring historical accident data information of each road section; determining an accident occurrence road section and accident occurrence factor information according to the historical data information; according to the accident occurrence road section and the accident occurrence factor information, screening out natural accident occurrence road sections with non-human factors; and taking the natural accident occurrence road section as a key monitoring road section. The method has the advantages that potential safety hazards on the expressway can be found in advance, and the effect of nipping in advance is achieved.

Description

Technical field [0001] The present application covers road risk identification technology, in particular, involving a highway safety risk intelligence identification method and system. Background technique [0002] With the acceleration of regional integrated process, highway traffic mileage and travel demand are increasing, and severe challenges are put forward on highway security protection. Using HD video surveillance systems, comprehensive and real-time monitoring of highway operations and surrounding facilities and environments, which is conducive to rapid discovery of traffic operation and respond in time. It is an important part of the information construction in highway in recent years. [0003] However, due to the high range of jurisdiction, high-speed mileage, large-scale monitoring center monitoring is often monitoring thousands of video, and all video wheel patrols often dozens of minutes, the efficiency is very low, and the cost of time and human cost is high. . In m...

AI Technical Summary

Problems solved by technology

[0003] However, due to the large jurisdiction and long highway mileage, the monitors of large monitoring centers often have to monitor thousands of videos at the same time, and it often takes tens of minutes to patrol all the videos, which is very inefficient and has high time and labor costs.

In most cases, after the surrounding environment of the expressway is abnormal or an accident occurs, the relevant staff can know it, and the effect of prevention in advance cannot be achieved.

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