Bridge intelligent online monitoring and early warning system based on big data analysis

Abstract

The invention discloses a bridge intelligent online monitoring and early warning system based on big data analysis. The bridge intelligent online monitoring and early warning system comprises a detection area division module, a bearing pressure detection module, a crack detection module, a wind direction and wind speed detection module, a deformation displacement detection module, a cable force detection module, a database, a data preprocessing module, a modeling analysis module, an early warning module and a display terminal. The system can realize online real-time acquisition of monitoring data, processes and analyzes the acquired data, improves the safety of the data, can perform automatic early warning according to an evaluation result when performing safety evaluation on the bridge soas to ensure the use safety of the bridge, and can display the data through the display terminal so as to improve the safety of the bridge. Management of managers and recording of data are facilitated, scientization of bridge safety and emergency management is promoted, and bridge operation safety is effectively guaranteed in time.

Description

technical field [0001] The invention belongs to the technical field of bridge monitoring, and relates to an intelligent online monitoring and early warning system for bridges based on big data analysis. Background technique [0002] Traffic is the economic lifeline of society, and bridges are the throat of traffic. The technical condition of bridges directly affects the smoothness of roads and driving safety, as well as the development of social economy and the travel safety of the people. If the bridge structure is damaged but fails to be discovered in time, and corresponding maintenance and repair measures are not taken, it will cause aggravated damage, affect driving safety, shorten the service life of the bridge, increase maintenance costs, and lead to sudden damage and collapse of the bridge, etc. Major accident. Therefore, necessary monitoring and corresponding maintenance of existing bridges, especially long-span bridges that have a major impact on transportation, ar...

AI Technical Summary

Problems solved by technology

The measurement speed of this monitoring method is slow, consumes more labor resources and labor costs, and brings monitoring risks, and the monitoring efficiency is low. It takes a long time to complete the data collection of the bridge structure, and it is difficult to guarantee the working status of the data of each measuring point. Consistency, and it is also difficult to ensure the accuracy of manual data recording and processing

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