Abstract

The intelligent production line is a new intelligent production line resource formed by highly integrating modern sensor technology, communication technology, information technology, computer technology and control technology on the large physical real basis of the existing production line. It can finish data acquisition, information processing, dynamic virtual reconfiguration of variable batch production line, embedded algorithm, algorithm optimize the management of the production line manufacturing field, change the dynamic virtual reorganization of the mass production line, and become the choice of the development direction of the next generation of new production lines for mankind. Scheduling is the nerve center of the production line virtual reorganization system. The traditional main auxiliary decision-making tool management system can no longer fully meet the requirements of production line operation monitoring in the new environment, so the construction of an intelligent scheduling system is also one of the important contents of the construction of the production line virtual reorganization. Based on this, this article explores and researches intelligent service scheduling decision-making technology under artificial intelligence technology. The research topic of this article is intelligent scheduling of production lines, so this article first analyzes the current research status of intelligent service scheduling and decision support systems; then conducts research based on Agent decision support systems, and analyzes the framework and characteristics of decision support systems. realizes the intelligent production line scheduling DSS system; then this paper designs the system’s scheduling model with stochastic disturbance, system database and system fault diagnosis function, and realizes an intelligent service scheduling decision support system based on multi-agent technology. Finally, this article tests the data transmission speed and fault diagnosis function of the system. The test results show that the system is relatively fast in data transmission speed and the fault diagnosis function is also very reliable.

Details

Title
Intelligent Service Scheduling Decision Technology under Artificial Intelligence Technology
Author
He, Shi 1 ; Cao, Guohua 1 ; Ma, Guoqing 1 ; Fan, Junhua 2 ; Duan, Jingsong 1 ; Bai, Jimeng 1 

 Changchun University of Science and Technology, College of mechanical and electrical engineering, Changchun city, Jilin Province, China; Chongqing Research Institute of Changchun University of Science and Technology, Chongqing City, China; Wuhu HIT Robot Technology Research Institute CO., LTD, Wuhu City, Anhui Province, China 
 AVIC XIAN AIRCRAFT INDUSTRIAL (GROUP) GO.LTD Xi’an, Shan’xi Province, China; Chongqing Research Institute of Changchun University of Science and Technology, Chongqing City, China; Wuhu HIT Robot Technology Research Institute CO., LTD, Wuhu City, Anhui Province, China 
Publication year
2021
Publication date
Aug 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2561945462
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.