Health monitoring system for structures of great building and bridge

Abstract

The invention discloses a health monitoring system for structures of a great building and a bridge, which comprises sensor terminals, a data acquisition and transmission system, a data processing and control system, a structural health data management system and a structural health condition evaluation system, wherein the data acquisition and transmission system is a distributed measurement system; a plurality of data acquisition sub-stations read data from the corresponding sensor terminals and transmit the data to a field monitoring work station; the data acquisition and transmission system is connected with the data processing and control system through a network; the data processing and control system is connected to the structural health data management system; and the structural health data management system is connected and interacted with the structural health condition evaluation system. The health monitoring system provides an on-line, dynamic and real-time monitoring mode, improves an automated level of structural health monitoring and the reliability, security and generality of the system, provides technical basis for implementation of health monitoring by using a life cycle of the building as a guidance, and provides an advanced and efficient technical measure for structure monitoring of civil engineering.

Description

technical field [0001] The invention relates to the fields of disaster prevention and reduction in civil engineering, computer network and information processing technology, and in particular to a health monitoring system for monitoring and evaluating the safety status of major buildings and bridge structures. Background technique [0002] The service life of major buildings and bridge structures such as super high-rise buildings, long-span roofs and long-span bridges is as long as tens or hundreds of years. Due to environmental erosion, material aging, long-term effect of load, fatigue effect and catastrophe effect, etc., it will inevitably lead to damage accumulation and resistance attenuation of the structure, thereby reducing its ability to resist natural disasters and even normal environmental effects. , which may lead to catastrophic accidents in extreme cases. Therefore, in order to ensure the safety, integrity, applicability and durability of the structure, many maj...

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Problems solved by technology

[0004] (1) The implementation of existing structural health monitoring usually requires manual on-site operations. The health monitoring of large civil structures usually requires a lot of manpower and material resources. On the other hand, structural health monitoring usually requires the synchronous triggering and termination of the sampling process of each sensor, and manual operation will inevitably have certain errors; thirdly, because different sensors are usually equipped with different collection terminals, the obtained data format The analysis, storage and management of massive monitoring data is very cumbersome and time-consuming

[0005] (2) From the planning, design, construction, operation to the end of the service period of large-scale civil structures, it is a process spanning decades or even hundreds of years. Various archives of buildings include planning, architectural and structural design, important Structural testing, construction, health monitoring, maintenance and repair records, etc., have various types and contents, and have a long time span. These data are generally managed by design, construction or owner units. Incomplete, and with the passage of time, once part of the data is lost, it will undoubtedly bring great difficulties to the evaluation of the structural health and structural maintenance in the later period

[0006] (3) Most of the existing structural health monitoring systems are aimed at a certain type of buildings in super high-rise buildings, long-span roofs or long-span bridges, and lack certain versatility

[0008] (5) Most of the current structural health monitoring systems are designed for professionals, integrating various modules such as system configuration, data sampling and analysis, and the operation is relatively complicated, and usually requires the installation of client software

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