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A bridge load early warning and monitoring method based on traffic big data

A big data and key monitoring technology, applied in traffic control system, traffic control system of road vehicles, traffic flow detection, etc., can solve problems such as inability to predict and control bridge load, and achieve avoidance of overloading events, low cost, and reduce accident risk Effect

Active Publication Date: 2022-06-24
ZHEJIANG SUPCON INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention mainly solves the technical problem that the existing bridge load monitoring method cannot predict and control the load of the bridge; it provides a bridge load early warning and monitoring method based on traffic big data, and uses the traffic information platform data to evaluate the bridge overload risk and pre- Take coordinated measures to avoid overloading incidents and reduce the risk of accidents

Method used

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  • A bridge load early warning and monitoring method based on traffic big data

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Experimental program
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Embodiment

[0046] Embodiment: A method for realizing bridge load early warning monitoring based on traffic big data in this embodiment, such as figure 1 shown, including the following steps:

[0047] S1. Set the forecast time period, divide the forecast time period into N time slices, and calculate the dynamic load of the bridge in each time slice according to the data of the traffic information platform. The data of the traffic information platform includes large-scale heavy loads including two passengers and one dangerous vehicle Vehicle's real-time GPS positioning data, electronic road list data, itinerary route data, road flow and traffic conditions, etc.:

[0048] S11. Set the prediction time period T, and divide the prediction time period T into N time slices τ, that is, T=N×τ;

[0049] S12. Obtain the set G of key monitoring vehicles passing through the bridge in the predicted time period T p , the selection basis of key monitoring vehicles is: the distance between the current p...

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Abstract

The invention discloses a bridge load early warning and monitoring method based on traffic big data, comprising the following steps: S1, setting a prediction time period, dividing the prediction time period into N time slices, and calculating bridges in each time slice according to traffic information platform data S2, judge the dynamic load according to the preset load, and output early warning information according to the evaluation result or give no warning; S3, judge whether the early warning information exceeds the preset early warning information level, if the early warning information If the preset warning information level is exceeded, the time for the vehicle to pass the bridge will be regulated. The invention utilizes the traffic information platform data to evaluate the bridge overload risk, and takes coordination measures in advance to avoid the occurrence of overload events and reduce the accident risk.

Description

technical field [0001] The invention relates to the technical field of bridge monitoring, in particular to a method for realizing early warning monitoring of bridge load based on traffic big data. Background technique [0002] With the gradual increase in the load capacity of vehicles and traffic flow, the durability and safety of urban and highway bridges are subject to verification tests. Once a safety accident occurs, it will not only cause huge economic losses, but also cause casualties and bad social impact. A number of analysis results show that overloading is the main reason for bridge overturning accidents that have occurred. Most of the existing bridge load monitoring systems need to install sensors on the bridge body. The communication system regularly collects working parameters such as real-time load under normal operation of the bridge, and then the central control system analyzes and processes the collected parameters, and monitors the health of the bridge str...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/18G01G19/03G08G1/01
CPCG08B21/182G08G1/0104G01G19/03
Inventor 陈迎迎杨霖倪旭煌钟会玲王晨姜雪明
Owner ZHEJIANG SUPCON INFORMATION TECH CO LTD