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A method and system for monitoring pipeline welding quality based on big data

A welding quality and big data technology, applied in the field of pipeline welding quality monitoring based on big data, can solve problems such as difficulty in improving welding quality, unqualified welding joint quality, and polluted welding joint, so as to prevent hidden dangers of welding quality and improve welding quality , the effect of convenient management

Active Publication Date: 2022-01-07
GUANGZHOU GAS +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the actual construction process, there will be insufficient preparation or other reasons that affect the welding quality, mainly as follows: 1. Although all PE welders have obtained PE welder certificates, there are a few welders with low actual operation level and do not operate according to the regulations.
2. The surface of the pipe near the welding joint is not cleaned and dried before the hot-melt connection, and there is a risk of polluting the welding joint and the quality of the welding joint is not up to standard
3. Failure to mark lines and scrape off the scale before electrofusion welding, there is a risk of insufficient welding; 4. The welding parameters are not carefully checked, or even not input according to the requirements of the pipe process parameters, resulting in unqualified welding joints
4. The welding parameters are not carefully checked, or even not input according to the requirements of the pipe process parameters, resulting in unqualified welding joint quality
5. Failure to inspect the appearance quality of welded joints as required, and not to cut off unqualified welded joints, leaving hidden dangers in the quality of welded joints
Due to the above various interference factors, there are still unstable factors in the welding quality, and it is difficult to improve the welding quality

Method used

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  • A method and system for monitoring pipeline welding quality based on big data
  • A method and system for monitoring pipeline welding quality based on big data

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Embodiment Construction

[0044] Such as figure 1 As shown, this embodiment provides a method for monitoring pipeline welding quality based on big data, including the following steps:

[0045] S1. After obtaining the welder information, start the welding machine according to the welder information;

[0046] S2. After obtaining the project number information, associate the welder information, welding machine and project with the corresponding project monitoring module according to the project number information;

[0047] S3. After obtaining the pipeline information of the pipeline to be welded, the pipeline information is transmitted and stored in the engineering monitoring module;

[0048] S4. Detect whether the pipeline to be welded meets the preset requirements according to the pipeline information, and when the detection does not meet the requirements, issue a message to replace the pipeline to be welded, and stop the welding operation until the pipeline information meets the preset requirements; ...

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Abstract

The invention discloses a pipeline welding quality monitoring method and system based on big data, wherein the method includes the following steps: after acquiring the welder information, starting the welding machine according to the welder information; associating the welder information, the welding machine and the project according to the project number information to the corresponding engineering monitoring module; detect whether the pipeline to be welded meets the preset requirements according to the pipeline information; obtain and send the first picture information of the pipeline interface to be welded to the engineering monitoring module, and detect whether the interface meets the preset requirements according to the first picture information; Obtain and transmit the working status information of the welding machine to the engineering monitoring module; check whether the welding joint is qualified according to the second image. The invention monitors and analyzes the data information in the welding process in real time through the engineering monitoring module, improves the welding quality, and prevents hidden dangers of the welding quality; stores the data for later quality tracking, and facilitates management personnel to manage the welding quality. Widely used in pipeline welding quality monitoring.

Description

technical field [0001] The invention relates to pipeline welding quality monitoring, in particular to a pipeline welding quality monitoring method and system based on big data. Background technique [0002] PE pipe has the advantages of low price, long life, corrosion resistance, convenient construction, etc., and has been widely used in the gas industry. When the temperature of PE reaches a certain temperature, it will be melted. When the PE is melted, the specified pressure is applied to make the welded ends of the PE pipes fuse with each other, and then the pipes are welded into one body after pressure-holding and cooling. When connecting PE gas pipelines, digital electric fusion welding machines or hot-melt welding machines are often used to complete the docking work. The welding quality of PE pipes is mainly controlled by the process parameters set by the digital welding machine, and is also affected by material factors, equipment factors, environmental factors and hum...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B29C65/02B29C65/82
CPCB29C65/02B29C65/82B29C66/90
Inventor 王坚刘邦宜
Owner GUANGZHOU GAS