Intelligent bridge detection system

Abstract

The invention belongs to the field of bridge detection, and particularly relates to an intelligent bridge detection system. The system comprises a data input module, a data transmission module and a data processing module, the data input module collects disease information of a bridge and transmits the disease information to the data processing module through the data transmission module, and thedata processing module analyzes and processes data and generates a detection report; the data processing module comprises an evaluation sub-module, a report sub-module and an original data sub-module.The report sub-module comprises a report chapter unit, a report template unit, a report template copying unit, a rendering unit, a report subjective opinion input unit and a report exporting unit. Onthe basis of management of a bridge type standard system, a standard disease library and the like, whole-process management from creation of bridge regular inspection projects, disease collection, automatic evaluation of bridge technical conditions to automatic generation of bridge regular inspection reports is realized.

Description

technical field [0001] The invention belongs to the field of bridge detection, and in particular relates to an intelligent bridge detection system. Background technique [0002] Bridges are an important part of roads. my country is a country with a large number of bridges and has become the second largest country with bridges after the United States. There are many factors affecting bridges, and the lack of timely management and maintenance leads to various degrees of damage and deterioration of various parts of the structure long before reaching the design life. If it cannot be detected and repaired in time, it will affect driving safety and shorten the service life of the bridge at the slightest, and cause sudden damage and collapse of the bridge at the worst. [0003] Regular bridge inspection is an important part of highway bridge and culvert maintenance. The main work includes on-site inspection, data collation, and report compilation. Mechanical platforms such as ins...

AI Technical Summary

Problems solved by technology

[0005] 1. Relying on manual experience, manual inspection is labor-intensive, low-efficiency, and error-prone

[0006] 2. Poor standardization of regular inspections, on-site manual records, incomplete establishment of bridge standard structures, poor standardization and integrity of manual records;

[0007] 3. The repetitive workload of data sorting and report preparation in the office is heavy;

[0008] 4. Score and report calculation method is single

[0009] 5. Weak data analysis ability and unstable report quality lead to many round-trips and long cycle of report compilation and review, which restrict the efficiency of regular inspections

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