Road and bridge safety intelligent monitoring and early warning management system based on big data

Abstract

The invention discloses a road and bridge safety intelligent monitoring and early warning management system based on big data. The system comprises a region division module, a detection point distribution module, a pressure detection module, a wind speed detection module, a wind direction detection module, a wind direction angle analysis module, an early warning reminding module, a handrail heightdetection module, a handrail height analysis module, a remote service center, an analysis server and a storage database. According to the invention, the pressure of crowds after extruding the guardrail is detected; the wind speed and the wind direction around the guardrail are detected; a wind direction angle corresponding to the wind direction is analyzed; the total pressure borne by the guardrail is calculated; whether a guardrail is at risk is analyzed, early warning and reminding are carried out on the guardrails with dangers, meanwhile, the comprehensive safety coefficient of the guardrails is comprehensively analyzed by detecting the heights of the guardrails and combining the number of the guardrails, the guardrails with unqualified safety are blocked, and meanwhile inspection andmaintenance are carried out, so that the occurrence rate of guardrail collapse events is reduced, and the sense of safety is brought to people.

Description

technical field [0001] The invention relates to the field of bridge safety monitoring, and relates to a big data-based intelligent monitoring and early warning management system for road and bridge safety. Background technique [0002] In recent years, whether it is today's cities, villages, or mountainous areas, there are bridge guardrails everywhere. Its role in our lives is becoming more and more important. Its purpose is to prevent out-of-control or yaw vehicles and pedestrians from getting out of the bridge. It has safety protection and aesthetics. [0003] However, there are many shortcomings in the existing bridge guardrail safety monitoring technology. Most of the existing bridge guardrail safety monitoring technologies are manual visual inspection. The monitoring method of manual visual inspection has low monitoring level and low reliability, and belongs to a single limited range. Monitoring of the main structure of the guardrail, through manual visual inspection o...

AI Technical Summary

Problems solved by technology

[0003] However, there are many shortcomings in the existing bridge guardrail safety monitoring technology. Most of the existing bridge guardrail safety monitoring technologies are manual visual inspection. The monitoring method of manual visual inspection has low monitoring level and low reliability, and belongs to a single limited range. Monitoring of the main structure of the guardrail, through manual visual inspection of whether the guardrail is loose or damaged, it is impossible to judge whether there is danger in the guardrail that is not loose or damaged, and it is impossible to monitor the actual force of the guardrail during use. Excessive force may cause the guardrail to collapse. Cause economic and property losses, and at the same time, the comprehensive safety level of the bridge cannot be known, thereby increasing the incidence of guardrail collapse events and causing great harm to the life safety of the crowd. In order to solve the above problems, the present invention designs a road bridge based on big data Safety intelligent monitoring and early warning management system

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