PZT vibration measurement signal-based flow-discharge-structure BIM damage-identification information system

Abstract

The invention discloses a PZT vibration measurement signal-based flow-discharge-structure BIM damage-identification information system. This system realizes innovative application of BIM technology inthe field of damage identification, and includes a PZT sensor module, which is used for collecting vibration signals of a dam body under different working conditions; a vibration measurement signal processing module, which is used for processing the vibration signals collected by a PZT sensor, and classifying, cataloging and storing feature information after processing; a BIM information model module, which is used for storing BIM information models of all parts of a project, and can attach information of attributes of the sensor and the like onto the models for management; and a virtual-reality fusion module, which carries out information fusion on the vibration measurement signal processing module and the BIM information model module, and is used for attaching structure damage features,which are stored by the vibration measurement signal processing module, to the BIM information model module for management and realization of visualization of structure damage identification and locating. The system has the characteristics of interactivity, visualization, flexibility and the like.

Description

Technical field [0001] The invention relates to a BIM damage identification information system for a discharge structure based on a PZT vibration measurement signal, which belongs to the field of water engineering damage monitoring. Background technique [0002] In the field of large-volume hydraulic concrete structure damage monitoring, due to the variety, large scale, and complex structure of hydraulic structures, the number of sensors for damage monitoring of hydraulic structures is large, resulting in massive damage monitoring data. The processing work such as storage, extraction, analysis and calculation, and data feature extraction are all done manually, and neither work efficiency nor accuracy can meet actual engineering needs. In addition, after the completion of the project, the design and construction drawings and documents handed over by the construction party to the operation and maintenance management party have damaged paper documents and incompatible electronic fil...

AI Technical Summary

Problems solved by technology

[0002] In the field of damage monitoring of large-volume hydraulic concrete structures, due to the variety, large scale and complex structure of hydraulic structures, the number of sensors used for damage monitoring of hydraulic structures is large, resulting in massive damage monitoring data. If these data The processing work such as storage, extraction, analysis and calculation, and data feature extraction are all done manually, which cannot meet the actual engineering needs in terms of work efficiency and accuracy.

In addition, after the completion of the project, the design and construction stage drawings and other materials handed over by the construction party to the operation and maintenance management party are damaged in paper documents and incompatible with the electronic file format, which makes the structural damage monitoring data analysts have a good understanding of the structure of the building. Lack of understanding of conditions, usage, etc., greatly reduces the efficiency of analysts in identifying and locating structural damage

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