Research on Welding Quality Traceability Model of Offshore Platform Block Construction Process  

作　　者：Jinghua Li Wenhao Yin Boxin Yang Qinghua Zhou 

机构地区：[1]College of Mechanical and Electrical Engineering,Harbin Engineering University,Harbin,150001,China [2]College of Shipbuilding Engineering,Harbin Engineering University,Harbin,150001,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第1期699-730,共32页工程与科学中的计算机建模（英文）

基　　金：funded by Ministry of Industry and Information Technology of the People’s Republic of China[Grant No.2018473].

摘　　要：Quality traceability plays an essential role in assembling and welding offshore platform blocks.The improvement of the welding quality traceability system is conducive to improving the durability of the offshore platform and the process level of the offshore industry.Currently,qualitymanagement remains in the era of primary information,and there is a lack of effective tracking and recording of welding quality data.When welding defects are encountered,it is difficult to rapidly and accurately determine the root cause of the problem from various complexities and scattered quality data.In this paper,a composite welding quality traceability model for offshore platform block construction process is proposed,it contains the quality early-warning method based on long short-term memory and quality data backtracking query optimization algorithm.By fulfilling the training of the early-warning model and the implementation of the query optimization algorithm,the quality traceability model has the ability to assist enterprises in realizing the rapid identification and positioning of quality problems.Furthermore,the model and the quality traceability algorithm are checked by cases in actual working conditions.Verification analyses suggest that the proposed early-warningmodel for welding quality and the algorithmfor optimizing backtracking requests are effective and can be applied to the actual construction process.

关 键 词：Quality traceability model block construction process welding quality management long short-term memory quality data backtracking query optimization algorithm 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]