{"title":"基于模拟退火算法的人机协同焊接时间预测","authors":"Luxia Yang, Hong Qiu, Xiaoruo Hu","doi":"10.1109/ICAA53760.2021.00048","DOIUrl":null,"url":null,"abstract":"This article introduces the convergence ideas in the simulated annealing algorithm and the method of avoiding local optimal solutions into manual welding and robot Welding Time predictions. Cluster analysis is used to preprocess initial man-hour data, and real-time Welding Times are used to correct the model. So as to improve the utilization rate of the whole line, maximize the resource benefit of the flow meter intelligent production line and further realize efficient production scheduling.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Man-machine Collaborative Welding Time Prediction Based on Simulated Annealing Algorithm\",\"authors\":\"Luxia Yang, Hong Qiu, Xiaoruo Hu\",\"doi\":\"10.1109/ICAA53760.2021.00048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article introduces the convergence ideas in the simulated annealing algorithm and the method of avoiding local optimal solutions into manual welding and robot Welding Time predictions. Cluster analysis is used to preprocess initial man-hour data, and real-time Welding Times are used to correct the model. So as to improve the utilization rate of the whole line, maximize the resource benefit of the flow meter intelligent production line and further realize efficient production scheduling.\",\"PeriodicalId\":121879,\"journal\":{\"name\":\"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAA53760.2021.00048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAA53760.2021.00048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Man-machine Collaborative Welding Time Prediction Based on Simulated Annealing Algorithm
This article introduces the convergence ideas in the simulated annealing algorithm and the method of avoiding local optimal solutions into manual welding and robot Welding Time predictions. Cluster analysis is used to preprocess initial man-hour data, and real-time Welding Times are used to correct the model. So as to improve the utilization rate of the whole line, maximize the resource benefit of the flow meter intelligent production line and further realize efficient production scheduling.