Coordinated Optimization Control System of Big Data Intelligent Production Line. (13th May 2022)

• Record Type: Journal Article
• Authors: He, Shi; Cao, Guohua; Ma, Guoqing; Duan, Jingsong; Bai, Jimeng
• Other Names: Xia Junjuan Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2022(2022)
• Publication Date: 2022-05-13
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2022/1621445
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : A mature coordinated and optimized control system can bring timeliness and benefits to the production line. This paper firstly exemplifies the big data intelligent production line coordination control system model and algorithm. They, respectively, include the intelligent production line coordination control system model, the big data intelligent coordination control model, and the hardware key electrical control system model of the air conditioning assembly big data intelligent production line, taking the tea production line as an example. The parameters of the coordinated control model are identified by the algorithm and system design, which considers and adjusts the functional requirements of the system to maintain the stable operation of the software system and store and transmit efficiently. To achieve efficient fit between functional requirements and modules, it created a complete assembly automation production line that meets actual needs. Then, the experiment of big data intelligent coordination and optimization control system based on cement clinker production line is carried out, and the intelligent coordination control system of cement clinker is designed. Compared with the data, it can be seen that in the coordinated control mode, the fluctuation of the temperature and pressure of the main steam is smaller, which can make the entire power generation system operate safely and stably. Based on the fuzzy control of the waste heat boiler and steam turbine load coordination control requirements, the reasonable coordination control of the boiler system and the generator set is carried out through fuzzy control, and the optimization and adjustment are carried out. Finally, the comparison and analysis of fuzzy control and traditional control experiments are carried out, and a coordinated optimization system using fuzzy control is obtained. It requires less feeding material, consumes less energy in the production process, generates more power, and can increase the average income by 4.87%, which has a good practical application prospect.