{"title":"基于BP神经网络算法的锚钻机进给装置精密控制系统研究","authors":"Ning Zhang","doi":"10.1109/ITOEC53115.2022.9734459","DOIUrl":null,"url":null,"abstract":"According to the construction requirements of the surrounding rock support of underground roadway in coal mine, an intelligent anchoring unit is designed and developed. The structure of the feeding device is introduced in detail through the simulation design, and the working principle of precision control system is analyzed. The precision control system is studied through BP neural network algorithm, and the construction steps of each component of the feed device are obtained, According to the roadway construction image information and the drilling construction data, the construction orientation and angle are judged independently without manual intervention. In order to ensure the construction efficiency of the feeding device, the BP neural network algorithm is used to optimize each construction step and obtain the optimal construction step. The overall calculation efficiency is increased by 16.67%. The system can ensure the independent switching of the feeding device, and can independently complete the whole process of drilling construction, anchor agent transportation and anchor bolt installation. The device has wide application range and high operation efficiency, which provides a theoretical basis for the intelligent construction of underground anchor drill in coal mine.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Precise Control System of Anchor Drilling Rig Feeding Device Based on BP Neural Network Algorithm\",\"authors\":\"Ning Zhang\",\"doi\":\"10.1109/ITOEC53115.2022.9734459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the construction requirements of the surrounding rock support of underground roadway in coal mine, an intelligent anchoring unit is designed and developed. The structure of the feeding device is introduced in detail through the simulation design, and the working principle of precision control system is analyzed. The precision control system is studied through BP neural network algorithm, and the construction steps of each component of the feed device are obtained, According to the roadway construction image information and the drilling construction data, the construction orientation and angle are judged independently without manual intervention. In order to ensure the construction efficiency of the feeding device, the BP neural network algorithm is used to optimize each construction step and obtain the optimal construction step. The overall calculation efficiency is increased by 16.67%. The system can ensure the independent switching of the feeding device, and can independently complete the whole process of drilling construction, anchor agent transportation and anchor bolt installation. The device has wide application range and high operation efficiency, which provides a theoretical basis for the intelligent construction of underground anchor drill in coal mine.\",\"PeriodicalId\":127300,\"journal\":{\"name\":\"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)\",\"volume\":\"181 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITOEC53115.2022.9734459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITOEC53115.2022.9734459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Precise Control System of Anchor Drilling Rig Feeding Device Based on BP Neural Network Algorithm
According to the construction requirements of the surrounding rock support of underground roadway in coal mine, an intelligent anchoring unit is designed and developed. The structure of the feeding device is introduced in detail through the simulation design, and the working principle of precision control system is analyzed. The precision control system is studied through BP neural network algorithm, and the construction steps of each component of the feed device are obtained, According to the roadway construction image information and the drilling construction data, the construction orientation and angle are judged independently without manual intervention. In order to ensure the construction efficiency of the feeding device, the BP neural network algorithm is used to optimize each construction step and obtain the optimal construction step. The overall calculation efficiency is increased by 16.67%. The system can ensure the independent switching of the feeding device, and can independently complete the whole process of drilling construction, anchor agent transportation and anchor bolt installation. The device has wide application range and high operation efficiency, which provides a theoretical basis for the intelligent construction of underground anchor drill in coal mine.