Open AccessApplication of Edge Computing in the Quality Control of Cable Production Process
Author(s) -
Ke Xu,
Mingjun Feng,
YuCheng Liu,
HongGang Deng
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2246/1/012049
Subject(s) - factory (object oriented programming) , production (economics) , enhanced data rates for gsm evolution , computer science , process (computing) , quality (philosophy) , edge computing , control (management) , production line , reliability engineering , manufacturing engineering , engineering , telecommunications , mechanical engineering , artificial intelligence , philosophy , epistemology , economics , macroeconomics , programming language , operating system
Given the lack of quantifiable evaluation criteria for the quality supervision and control in the existing power cable industry, insufficient research on the correlation of production indexes in the production process, and low timeliness in the analysis and processing of massive multi-source production data, the video monitoring model and data-driven process quality evaluation strategy model under the edge computing framework were constructed. Next, all the production data and test data in the cable production procedures were captured using edge nodes, and the factory-side data was cleansed, processed, and analyzed. The cable manufacturing quality was evaluated through edge computing, and the business process was arranged based on the edge computing results, so as to improve the cable product quality and finally optimize the total value chain of production in the whole cable industry.