{"title":"Key technologies of intelligent interpretation cloud platform for coal mine logging","authors":"Bici Jiang","doi":"10.1109/ICMSP53480.2021.9513387","DOIUrl":null,"url":null,"abstract":"In order to meet the needs of intelligent mining of coal mine for detecting data and realize intelligent interpretation of coal mine logging, an online intelligent interpretation cloud platform for single well of coal mine logging based on web is designed. Based on Browser-Server (B/S) architecture, man-machine interactive display is realized on the front-end browser, data processing and interpretation are achieved on the back-end cloud server; data management is carried out by using SQL database to facilitate data interaction with other platforms; coal and rock identification and interpretation of intelligent logging is realized by using python; data encryption is designed by using block chain technology to realize data life cycle. The data transmission protocol adopts the general protocol technology, the communication between the front end and the back end adopts the Https protocol, and the data transmission adopts the JSON format, which facilitates the data docking with other platforms. The platform is not restricted by terminal form. As long as there is a browser in the network, it can be operated, used by users. The platform has no version restrictions and is convenient for developers to maintain. The platform construction, front-end design, back-end design, database design and data encryption design method formed in this paper provide new ideas and solutions for the development of intelligent logging interpretation.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSP53480.2021.9513387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to meet the needs of intelligent mining of coal mine for detecting data and realize intelligent interpretation of coal mine logging, an online intelligent interpretation cloud platform for single well of coal mine logging based on web is designed. Based on Browser-Server (B/S) architecture, man-machine interactive display is realized on the front-end browser, data processing and interpretation are achieved on the back-end cloud server; data management is carried out by using SQL database to facilitate data interaction with other platforms; coal and rock identification and interpretation of intelligent logging is realized by using python; data encryption is designed by using block chain technology to realize data life cycle. The data transmission protocol adopts the general protocol technology, the communication between the front end and the back end adopts the Https protocol, and the data transmission adopts the JSON format, which facilitates the data docking with other platforms. The platform is not restricted by terminal form. As long as there is a browser in the network, it can be operated, used by users. The platform has no version restrictions and is convenient for developers to maintain. The platform construction, front-end design, back-end design, database design and data encryption design method formed in this paper provide new ideas and solutions for the development of intelligent logging interpretation.