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Damage identification device for bridge construction based on deep learning and use method

A bridge construction and deep learning technology, applied in machine learning, data processing applications, instruments, etc., can solve the problem that the device does not have a recording structure, and achieve the effect of increasing pressure and improving accuracy

Pending Publication Date: 2022-04-08
嘉兴南湖学院 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The damage identification method applicable to time-varying medium and small-span bridges of the present invention is suitable for accurately identifying the damage status of medium- and small-span bridges", but the above-mentioned device does not have a good recording structure, making it difficult for the staff to carry out the measured data. Fast real-time recording, which has certain limitations in actual use

Method used

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  • Damage identification device for bridge construction based on deep learning and use method
  • Damage identification device for bridge construction based on deep learning and use method
  • Damage identification device for bridge construction based on deep learning and use method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] see figure 1 , Figure 5 and Figure 8 , an embodiment provided by the present invention: a deep learning-based damage identification device for bridge construction and its use method, including a working box 1, a placement tank 2 and a temperature controller assembly 3, and the inside of the working box 1 is provided with a placement slot 2. A thermostat assembly 3 is installed on one side of the working box 1; an electric control box 4 is threaded on the top side of the working box 1, and the electric control box 4 is electrically connected to the thermostat assembly 3, and the thermostat The inside of the component 3 is provided with a heating pipe 5; both sides of the inner wall of the working box 1 are equipped with air outlet slots 6, and the air outlet slots 6 are located on one side of the thermostat assembly 3, and one side of the top of the thermostat assembly 3 is set There is an adjustment knob 7, and the adjustment knob 7 is electrically connected to the ...

Embodiment 2

[0043] see figure 2 and Figure 6 , an embodiment provided by the present invention: a damage identification device for bridge construction based on deep learning and its use method, including a pressing plate 31, a counterweight 3 and a control motor 8, and a control motor is installed in the middle of the top of the work box 1 8. The output end of the control motor 8 runs through the inner top wall of the working box 1. A movable screw rod 9 is installed. The surface of the movable screw rod 9 is threaded with a movable sleeve 10, and the bottom end of the movable screw rod 9 is installed with a stop piece. , the both sides of movable sleeve 10 surface and the both sides of working box 1 inner wall are all installed limit clip 11, and the inside of limit clip 11 is connected limit bar 12, and the bottom of movable sleeve 10 is connected with pressing plate 31, and pressing plate The interior of 31 is provided with several counterweights 13;

[0044] Through the setting of...

Embodiment 3

[0046] see image 3 , an embodiment provided by the present invention: a damage identification device for bridge construction based on deep learning and its use method, including a placement slot 2, an adjustment screw 14, a booster knob 15 and a push plate 16, and the two sides of the placement slot 2 The middle part is threadedly connected with an adjustment screw 14, the top of the adjustment screw 14 is equipped with a booster knob 15, and the bottom end of the adjustment screw 14 is connected with a push plate 16 through a limit seat, and the surface of the push plate 16 is provided with an anti-skid layer 17;

[0047] Through the collocation of placement slot 2, adjusting screw 14, power-assisted knob 15 and push plate 16, when the staff needs to quickly adjust and fix the measured object, the staff can first take it out from the bridge structure whose damage degree needs to be identified. After that, put the sample to be tested into the placement tank 2, adjust the sett...

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Abstract

The invention discloses a deep learning-based damage identification device for bridge construction and a use method, the deep learning-based damage identification device comprises a working box, a placement groove and a temperature controller assembly, the placement groove is formed in the working box, and the temperature controller assembly is mounted on one side of the working box; and one side of the top of the working box is in threaded connection with an electric control box, and a heating pipe is arranged in the temperature controller assembly. Through the arrangement of the temperature controller assembly, when a worker needs to regulate and control the temperature in the device, the heat dissipated in the temperature controller assembly can be regulated and controlled through the arrangement of the temperature controller assembly and the matching work of an adjusting knob and the screwing of the adjusting knob, and after the heating pipe and the air outlet groove are matched to work and current is connected, the heat dissipated in the temperature controller assembly can be adjusted and controlled. The heating pipe can emit heat according to the characteristics of the heating pipe, and the air outlet groove can transmit the heat generated when the heating pipe works into the working box, so that a worker can conveniently control the temperature in the working box, and a better working environment can be provided for a simulation test.

Description

technical field [0001] The invention relates to the technical field of bridge construction, in particular to a deep learning-based damage identification device for bridge construction and a method for using it. Background technique [0002] Bridge construction refers to the process of building a bridge according to the design content; it mainly refers to bridge construction technology, construction organization, construction management, construction quality, etc. Therefore, there are many damage identification devices on the market, but the existing damage identification devices for bridge construction still have certain deficiencies in actual use. [0003] The defects in the existing damage identification device and method for bridge construction are: [0004] 1. The patent document CN107389285B discloses a rapid test and evaluation method for bridges based on temperature changes, "The structural dynamic response of the bridge structure under different temperature conditio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10G06N20/00
Inventor 武瑛杨俊朱丽军王磊
Owner 嘉兴南湖学院
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