Bridge health detection system and bridge health detection method based on unmanned aerial vehicle

A technology for health detection and drones, applied in measurement devices, optical testing of flaws/defects, material analysis by optical means, etc., can solve problems such as high labor force and consumption, and achieve strong data support, accurate results, and easy maintenance. effect of work

Active Publication Date: 2018-05-18
CHINA RAILWAY BRIDGE SCI RES INST LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the traditional artificial bridge detection method is limited by factors such as high labor con

Method used

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  • Bridge health detection system and bridge health detection method based on unmanned aerial vehicle
  • Bridge health detection system and bridge health detection method based on unmanned aerial vehicle
  • Bridge health detection system and bridge health detection method based on unmanned aerial vehicle

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Embodiment 1

[0053] see figure 1 , 2 , 3, the embodiment of the present invention provides a bridge health detection system based on UAV, the bridge health detection system at least includes: data acquisition subsystem 1, which includes: UAV 101, UAV 101 is equipped with The camera device 1011, the camera device 1011 is used to collect images of the bridge to be tested to obtain crack detection data, the crack detection data includes crack width data, crack length data, crack area data and crack position information;

[0054] Database 2, which is used to pre-store multiple sets of historical fracture data, the historical fracture data includes historical fracture width data, historical fracture length data, historical fracture area data and historical fracture location information;

[0055] The data analysis unit 3 includes at least: a hazard simulation module 301, configured to receive crack detection data, extract from the database 2 the bridge to be tested corresponding to the crack de...

Embodiment 2

[0069] see Figure 4 As shown, the embodiment of the present invention provides a UAV-based bridge health detection system. The difference from Embodiment 1 is that the data analysis unit 3 also includes: a data pre-screening module 302, which is used to receive crack detection data and identify The detected crack width data of the detected crack data, screen out the detected crack data whose crack width exceeds the safe width range in the detected crack width data, and record it as effective crack data. The effective crack data includes effective crack width data, effective crack length data, and effective crack area. data and effective fracture location information;

[0070] The data pre-screening module 302 screens out the detected crack data in the detected crack width data whose crack width exceeds the safe width range, and records it as valid crack data, that is, screens out the cracks on the bridge to be tested that need to be analyzed for safety;

[0071] The hazard s...

Embodiment 3

[0075] see Figure 5 As shown, the embodiment of the present invention provides a UAV-based bridge health detection system, which differs from Embodiments 1 and 2 in that the historical crack data also includes: historical hazard levels;

[0076] The data analysis unit 3 also includes: a crack rating module 303, which is used to receive crack detection data, and grade the crack detection data according to bridge detection standards, and the rating result is recorded as the detection hazard level;

[0077] The invention uses the bridge detection standard as the data support of the rating work to ensure the accuracy of the rating.

[0078] Among them, the bridge inspection standard is the industry standard for bridge construction and bridge inspection, including the standard for hazard rating based on bridge cracks.

[0079] In the present invention, the historical hazard level is specifically as follows:

[0080] Primary disease: It does not affect the bearing capacity and no...

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Abstract

The invention discloses a bridge health detection system based on an unmanned aerial vehicle, and relates to the field of bridge detection. The bridge health detection system at least comprises: a data acquisition subsystem, wherein the data acquisition subsystem comprises an unmanned aerial vehicle, the unmanned aerial vehicle is provided with an imaging device, and the imaging device is used forcarrying out image collection on a bridge to be detected so as to obtain detection fracture data; a database for pre-storing multiple sets of historical fracture data; and a data analysis unit, wherein the data analysis unit comprises a hazard simulation module, and the hazard simulation module predicts the future development trend of the fracture by carrying out statistical analysis on the historical fracture data and the detection fracture data, and obtains the fracture prediction data. According to the present invention, the detection fracture data collected by the unmanned aerial vehicleis compared y using the historical fracture data in the database as the reference to obtain the fracture change trend, such that the worker can conveniently predict the future development condition ofthe fracture and timely perform the maintenance work so as to improve the maintenance work efficiency and ensure the normal use of the bridge to be detected.

Description

technical field [0001] The invention relates to the field of bridge detection, in particular to a bridge health detection system and method based on an unmanned aerial vehicle. Background technique [0002] At present, there are two basic methods for bridge safety detection, one is to use the detection device installed on the bridge to monitor the bridge in real time, and the other is to use various detection methods to regularly detect the safety status of the bridge; [0003] However, the traditional artificial bridge detection method is limited by factors such as high labor consumption, unreliability and danger, and can no longer meet the needs of modern social and economic development. [0004] In recent years, drones have been widely used in military and civilian fields, such as: reconnaissance and reconnaissance, rescue and relief, geological exploration, forestry survey, scientific data collection, etc.; using drones to complete these tasks can greatly reduce costs an...

Claims

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Application Information

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IPC IPC(8): G01N21/892G01N21/88G01B11/00G01B11/02G01B11/28
CPCG01B11/00G01B11/02G01B11/28G01N21/8851G01N21/892G01N2021/8874
Inventor 王波阮小丽汪正兴荆国强王翔柴小鹏鄢煜尘孙涛伊建军张东波
Owner CHINA RAILWAY BRIDGE SCI RES INST LTD
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