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Intelligent detection method for quality of fabricated building connection node

A technology for connecting nodes and intelligent detection, applied in the direction of measuring devices, character and pattern recognition, instruments, etc., can solve problems such as hindering the informatization and intelligentization of the construction industry, unable to ensure construction quality from the source, and reducing the accuracy of detection results. , to improve the recognition accuracy and detection efficiency, easy to popularize and use, and avoid human errors.

Pending Publication Date: 2022-07-29
NONGTAIKE SHANGHAI DETECTION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method requires expensive professional endoscopic measuring equipment and trained professional inspectors. The inspector will carry out sampling inspection after the overall construction of the project is completed. If the inspection fails, additional grouting operations will be required, which will delay the construction period and Increase the cost, unable to guarantee the construction quality from the source
In addition, even professionally qualified inspectors will inevitably make misjudgments when the observation channel is blocked, especially in the case of high-intensity operations, which reduces the accuracy of the test results and makes the test report untrue
In addition, the expensive professional endoscopic measurement equipment on the market has a low degree of informatization. The collected pictures are manually copied to the computer in the form of traditional U disk data. The paper and pen data is manually recorded, and the extremely low detection efficiency hinders the informatization and intelligentization process of the construction industry, and it is impossible to avoid the inauthentic and possible tampering and loss of data caused by manual operation

Method used

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  • Intelligent detection method for quality of fabricated building connection node
  • Intelligent detection method for quality of fabricated building connection node
  • Intelligent detection method for quality of fabricated building connection node

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1: For multiple projects of assembling integral concrete shear wall structures, this method is used to track and detect the whole process of sleeve grouting. The process is as follows: figure 1 shown, including the following steps:

[0041] A large number of grouting sleeves are selected as the sample set, and a percussion drill is used to drill holes at the grouting outlet of the sleeve to form detection holes.

[0042] Insert the monocular endoscope into the detection hole, operate the handheld device to observe the grouting inside the sleeve and collect pictures.

[0043]The collected pictures are classified and marked, and the fullness of the sleeve grouting is divided into three categories according to the classification rules of fullness, lack of fullness and indecision. Among them, the special conditions of blockage and fracture in the sleeve are regarded as inoperable. . Limited by the number of sleeves available for detection, the collected data se...

Embodiment 2

[0048] Embodiment 2: The process of neural network training and detection is as follows figure 1 shown, the specific steps are as follows:

[0049] A large number of grouting sleeves 4 are selected as the sample set, and the endoscope is inserted into the grouting outlet to take pictures of the internal environment of the sleeves. The collected pictures are classified and marked, and the insertion states of steel bars are divided into two categories according to the classification rules of those with steel bars and those without steel bars. Similar to the first embodiment, the image expansion operation and the data set division are performed. Afterwards, the deep learning model is trained, and the trained deep learning model is deployed on the server.

[0050] During the inspection, the worker will carry out the inspection with the handheld device and the endoscope, and operate the endoscope to extend into the slurry outlet channel of the sleeve to observe the insertion stat...

Embodiment 3

[0054] Embodiment 3: The present invention provides an intelligent detection method for the quality of a connection node of a prefabricated building. The operating software can be written as a mobile device APP and installed in a mobile phone or tablet computer. APP interface such as Figure 4 As shown, the APP can complete the functions of the visual interface in the first embodiment and the second embodiment, and realize human-computer interaction. When the mobile terminal runs and displays the APP, the APP executes the corresponding function according to the detected manual touch or voice operation of the worker. The APP includes two major functional modules, namely, the sleeve grouting fullness detection module and the steel bar insertion state detection module. The specific usage method can refer to the operation method of the visual interface in the first embodiment, and the detection results are also uploaded to the cloud database to generate Test Report.

[0055] The...

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Abstract

The invention discloses an intelligent detection method for the quality of a fabricated building connection node. The method comprises the following steps: firstly, acquiring a plurality of pictures of the grouting fullness in the sleeve and the insertion state of the reinforcing steel bar through an endoscopic method, constructing a data set by using the pictures, training the data set by using a deep learning classification model framework, and deploying a trained model on a server; then, a visual window is constructed on the handheld device and used for collecting on-site pictures, the pictures are automatically stored in a database, and the intelligent recognition service deployed on the server is synchronously accessed. When detection is implemented, a worker holds the monocular endoscope by hand to shoot the internal environment condition of the sleeve, and directly checks the judgment result of the grouting fullness and the insertion state of the reinforcing steel bar on a visual interface. And a detection result is uploaded to a cloud database for analysis, statistics and display. By adopting the technical scheme, the method for automatically detecting the grouting fullness of the sleeve and the insertion state of the reinforcing steel bar is manufactured.

Description

technical field [0001] The invention relates to the technical field of prefabricated buildings, in particular to an intelligent detection method for the quality of connection nodes of prefabricated buildings. Background technique [0002] The commonly used reinforcement connection method in prefabricated buildings is the reinforcement sleeve grouting connection, which refers to inserting reinforcement into the embedded sleeve and pouring the grouting material. Its connection bearing capacity is determined by the smaller of the tensile strength limit of the steel bar and the bond force between the steel bar and the grouting material. The more grouting material wrapped around the steel bar, the greater the bonding force between the steel bar and the grouting material, and the better the connection performance. For the sleeve with insufficient grouting, three failure modes may occur: the tensile failure of the steel bar outside the grouting, the instantaneous peeling failure o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G06V10/774G06V10/764G06K9/62
CPCG01N21/84G06F18/241G06F18/214
Inventor 潘永东周如辰郝路肖生玉游昌壕
Owner NONGTAIKE SHANGHAI DETECTION TECH CO LTD
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