A Numerical Approximation and Optimum Method of the Textile Enterprise Production Monitoring Control System Based on Multi-Agent

摘要

In order to promote the information-based development of the textile industry, and improve the production management, we develop a production monitoring and decision system via network technology, database technology, communication technology and transaction mechanism, and propose a Multi-Agent management decision and data analysis model. For all machines' production data and operating status, system can realize remote and on-line monitoring, and strengthen production process control. During the system software design process, first, we analyze actual requirements and present condition of the textile industry, study production operation workflow and technical difficulties. Then, we introduce system structure based on Client/Server mode, as well as work principle. Third, we analyze and compare several numerical approximation algorithms, and put forward a correlation analysis method. As verified by practice, system has much more reliability, convenience and flexible, and it can accurately collect production data, timely reflect machine operating status, and provide correct production management decision basis for plant-level managers. Furthermore, the primary functions of system meet the actual requirements of production management, and boost information technology development of the textile industry.