Bridge health visual monitoring system based on Internet of Things

Abstract

The invention discloses a bridge health visual monitoring system based on the Internet of Things, which comprises a plurality of sensors installed on a bridge site, Internet of Things modules, a gateway and a cloud server, and is characterized in that each sensor forms a group or many close sensors form a group, and the Internet of Things modules are distributed near each group of sensors. Each group of sensors is connected to the Internet of Things module nearby to transmit acquired data, the Internet of Things module is connected with the gateway through the LoRa wireless communication module of the Internet of Things module and sends the acquired sensor data to the gateway, and then the gateway forwards the acquired sensor data to the cloud server through a 4G or 5G mobile communicationnetwork. Collection and processing of sensor data are completed on the cloud server in a centralized mode, and a visual monitoring interface is formed. Sensor data of the system are collected in a distributed mode, a large amount of cable laying work is avoided, equipment installation gets rid of geographical limitation, system deployment is easy, and later maintenance is convenient.

Description

technical field [0001] The invention relates to the field of bridge management, in particular to a bridge health visualization monitoring system based on the Internet of Things. Background technique [0002] With the development of economy and society and the continuous progress of civil engineering technology, the construction of bridges has developed rapidly to meet the growing social needs caused by social development, population flow, and material transportation. As the throat of urban and highway traffic, bridges are related to the national economy and the safety of people's lives, and are increasingly concerned and valued by people. Because bridges are affected by various loads, natural environment, and material degradation during construction and operation, the stability and durability of bridges are reduced, and the bridge may reach its service life before reaching the design life. The painful accident made people deeply realize that the safety of bridges is not onl...

AI Technical Summary

Problems solved by technology

Therefore, when a large number of bridges need to deploy a health monitoring system, not only the workload of software development, testing, and deployment is huge, but also the later operation and maintenance cannot realize remote software maintenance, which brings huge operation and maintenance costs;

[0008] (d) Since the system software is deployed on the physical server, data reception, processing, analysis and subsequent applications all depend on the physical server, which brings a huge workload to software deployment, operation and maintenance

In addition, the servers of many bridge health monitoring systems are placed directly on the bridge site, and the harsh working environment also accelerates the aging of the servers and unstable performance

[0009] In addition to the problems mentioned above, the existing bridge health monitoring system also has the following problems in its monitoring data: bridge health monitoring is mainly aimed at large bridges and super-large bridges, and these bridges have large scales and a large number of measurement points, and the monitoring frequency is high

At present, these data are directly stored, not effectively utilized, and cannot provide users with effective decision-making information

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