Open AccessComputer Intelligent Cloud Server Platform of Coal Preparation Plant Based on Big Data Cloud Technology
Author(s) -
Qing Zhang,
Hao Chen,
Jiayin Wang,
YuGe Zhu,
ChangZhong Zhou
Publication year - 2021
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 - 10.1088/1742-6596/2083/4/042066
Subject(s) - cloud computing , software deployment , computer science , automation , database , operating system , service (business) , interface (matter) , systems engineering , embedded system , engineering , mechanical engineering , economy , bubble , maximum bubble pressure method , economics
This article combines the actual situation of the coal preparation plant and uses big data cloud technology to carry out detailed system requirements analysis and monitoring platform design. The entire design includes server framework design, database design, cloud service deployment and mobile client prototype design. According to the on-site working conditions of electromechanical equipment, the article uses ER model and 3NF method to abstract it and establishes a MySQL real-time database of equipment operating status. Finally, the ECS cloud server is used to complete the deployment, and the JSP technology is used to realize the display of the system’s man-machine interface, as well as remote monitoring services for equipment monitoring, information management, and user management. Practical application shows that the system can improve the comprehensive automation and information level of the enterprise, reduce the operating cost of the enterprise, and improve the production efficiency of the enterprise.