Wireless detection device and wireless detection method for welding quality on-line monitoring and man-hour counting

Abstract

The invention relates to a wireless detection device and a wireless detection method for welding quality on-line monitoring and man-hour counting, and aims to solve the technical problems that at thepresent stage, during a large-scale metal structure product welding process, the quality is not easy to guarantee, and the welding workload is inconvenient to count. According to the wireless detection device and the wireless detection method for welding quality on-line monitoring and man-hour counting provided by the invention, technological parameters of each welding machine in large-scale metalstructure product production and construction sites can be acquired in real time, and all acquired data is ensured to be reliably transmitted through a wireless communication manner, so that inconvenience in wired communication is avoided. After the data is aggregated to a server, the data is subjected to multiple condition judgment and scientific and reasonable computing and counting, and the whole process monitoring of the welding quality and the effective counting of the workload of welding workers during the welding process are finally realized. For a large-scale metal structure product production and construction industry, the method not only is a good management tool, but also is beneficial to bringing a remarkable economic benefit after being adopted.

Description

technical field [0001] The invention relates to wireless communication technology and intelligent detection technology, in particular to a wireless detection device and method for on-line monitoring of welding quality of large metal structure products and statistics of working hours. Background technique [0002] Large-scale metal structural products (including but not limited to ships, steel structure buildings, oil pipeline networks, chemical process pressure vessels, high-voltage towers, and large boiler products) occupy a very important position in industrial production. The production and construction of this kind of products are mainly done by electric welders using various types of welding machines to weld the scattered parts together, and finally form a whole. Welding is the most important work. The welding quality of the workers directly determines the quality of the product. If the welding quality does not meet the requirements, it will cause very large economic lo...

AI Technical Summary

Problems solved by technology

This needs to solve the following problems: (1) In the production of large-scale metal structure products, a large number of workers on the construction site are scattered in various areas to work independently, the number of welding machines that need to be collected is large, the area is scattered, and the work site will be transferred as the work in one area is completed. , the welding machine will also be transferred with the operator, it is inconvenient to use wired communication, and it is suitable to use wireless networking; (2) Large metal structure products are relatively large in size, and the production and construction sites are often a large area with irregular shapes. Ensure that each area is covered by wireless signals, otherwise the communication will be interrupted and the data will be lost, resulting in monitoring and statistical errors; (3) The process parameters related to welding quality are mainly voltage, current, shielding gas flow rate, and welding wire feed speed. It is necessary to collect the above-mentioned process parameters of the welding machine in real time, and the sampling speed must be fast enough, and the sampling speed is too slow to fully reflect the real situation; (4) After successfully collecting a large amount of data on the job site, it is necessary to comprehensively analyze and calculate the quality of each welding machine under the premise of meeting the quality requirements. The machine corresponds to the effective workload of the workers, and both quality and speed must be considered. If the data processing is not scientific and rigorous, it is very likely that someone will "speculate" to cater to the statistical indicators, thus encouraging "speculative" behavior, which will reduce production efficiency or increase quality problems.

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