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Fabricated bridge deck safety real-time monitoring method based on cloud computing and image analysis and monitoring management cloud platform

An image analysis and real-time monitoring technology, applied in image analysis, image data processing, calculation, etc., can solve the problems that manual detection methods cannot achieve real-time detection, cannot obtain real-time data of bridge expansion joints, and accuracy cannot be guaranteed, etc. , to achieve the effects of avoiding large errors in detection data, convenient and safe maintenance, and high data accuracy and accuracy

Inactive Publication Date: 2021-04-30
南京邦峰智能科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the development of social economy, in bridge construction, in order to meet the deformation requirements of the bridge deck, expansion joints are usually set between the two girder ends, between the girder end and the abutment, or at the hinge position of the bridge. The displacement and connection between the superstructure caused by the vehicle load and bridge building materials, and the quality and safety monitoring of the expansion joints are particularly important. If the expansion joint spacing is too small, it will cause deformation due to temperature stress, and if it is too large, it will lead to uneven road surface. As a result, there are loud noises and "jumping" phenomena during the driving process of the car, which poses a greater safety hazard
[0003] Since the existing detection method of bridge expansion joints is artificially inspected at a certain time interval, the detection area cannot be close to the detection personnel, especially when there are many bridge points to be detected, it is necessary to equip different detection personnel for different detection points. , it will bring great inconvenience to the inspectors and increase the cost of inspection. The manual inspection method also has the problem that real-time inspection cannot be achieved. If the inspectors do not perform real-time inspection, then the relevant departments will not be able to know the real-time data of the expansion joints of the bridge. , and manual detection will cause errors in the detection data due to human factors, and the accuracy cannot be guaranteed

Method used

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  • Fabricated bridge deck safety real-time monitoring method based on cloud computing and image analysis and monitoring management cloud platform
  • Fabricated bridge deck safety real-time monitoring method based on cloud computing and image analysis and monitoring management cloud platform

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] refer to figure 1 As shown, the real-time monitoring method of prefabricated bridge deck safety based on cloud computing and image analysis includes the following steps:

[0042] S1: Real-time detection of environmental parameters in each detection sub-area, and compare with standard environmental parameters;

[0043] S2: Real-time detection of the expansion joint deformation in each detection sub-area, and compare with the standard expansion joint def...

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Abstract

The invention discloses a fabricated bridge deck safety real-time monitoring method and monitoring management cloud platform based on cloud computing and image analysis. The method comprises the steps: detecting environmental parameters, expansion joint deformation quantities and noise decibels in all detection subareas in real time, and comparing the environmental parameters, the expansion joint deformation quantities and the noise decibels with standard environmental parameters and expansion joint deformation quantities; providing reliable earlier-stage data preparation and reference bases for later-stage statistics of the quality safety coefficients of the expansion joints; meanwhile, determining the noise decibel levels and the noise decibel influence coefficients corresponding to the detection sub-regions so that statistics of the quality safety coefficients of the expansion joints of the detection sub-regions in different time periods and the corresponding quality safety levels can be conducted. The bridge safety detection system has the advantages of being high in real-time performance and high in reliability, labor cost is greatly reduced, the problem that detection data errors are large due to human factors is solved, and powerful technical support is provided for safety application of a bridge.

Description

technical field [0001] The invention belongs to the technical field of bridge monitoring, and in particular relates to a method for real-time monitoring of the safety of an assembled bridge deck based on cloud computing and image analysis and a cloud platform for monitoring and management. Background technique [0002] With the development of society and economy, in bridge construction, in order to meet the requirements of bridge deck deformation, expansion joints are usually set between two girder ends, between girder ends and abutments, or at the hinge position of bridges. The displacement and connection between the superstructure caused by the vehicle load and bridge building materials, and the quality and safety monitoring of the expansion joints are particularly important. If the expansion joint spacing is too small, it will cause deformation due to temperature stress, and if it is too large, it will lead to uneven road surface. As a result, loud noises and phenomena su...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/0002G06T7/11
Inventor 不公告发明人
Owner 南京邦峰智能科技有限公司
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