scholarly journals Design of Control System of Reconstituted Tobacco Flexible Production Line Based On Industry Control Network

Author(s):  
Yuliang Li ◽  
Weidong Lou ◽  
Wenliang Jin ◽  
Yunfeng Zhao
2011 ◽  
Vol 403-408 ◽  
pp. 2383-2387
Author(s):  
Wei Liu

With the exaltation of the function and the performance of the PLC technique, the application of the industry control network become more and more universal. Particularly In the application whose geography location is scattered and the stand is numerous, it can raise the Networked level completely by a control system renovation. This text mainly introduced PLC network technique which uses PLC as core controller, and makes use of existing telephone network and modem of business as communication line. It enables us to achieve active and passive communication between the master computer and the PLC slave. It focused on solving the call between the PLC and the modem. Finally, it realizeed fully automated monitoring of heat exchanger and water pump station.


2014 ◽  
Vol 644-650 ◽  
pp. 722-725
Author(s):  
Fan Wu

A large cement factory as an example, according to the requirements of process and control parameters of production line of raw mill, this paper researches and designs the automatic control system of cement raw mill production line based on PCS7 and PROFIBUS. The design of the whole system consists of three levels: field layer, control layer and operation layer which are connected by Ethernet and PROFIBUS implementation, and focus on the design of the feed flow includeing feed composition, feed machine speed loop control etc. Through the on-site operation, the system is stable and reliable, and has good application and promotion effect.


2021 ◽  
Vol 2078 (1) ◽  
pp. 012067
Author(s):  
Jingcheng Zhao ◽  
Xiaomeng Li ◽  
Yaofu Cao ◽  
Junwen Liu ◽  
Junlu Yan ◽  
...  

Abstract In recent years, international industrial control network security incidents have occurred frequently. As a core component of the industrial control field, intelligent power control systems are increasingly threatened by external network attacks. Based on the current research status of power industrial control network security, closely combining the development of active monitoring and defense technology in the public network field and the problems encountered by network security operators in actual work, this paper uses data mining methods to study the power control system network security situation awareness technology. Combing operational data collection and integrated processing, situation index screening and extraction, we use wavelet neural network analysis method to train the sampled data set, and finally calculate the true value of the network security status through deep intelligent learning. Finally, we conclude that the artificial intelligence algorithm based on wavelet neural network can be used for power control system network security situation awareness. In actual work, it can predict the situation value for a period of time in the future and assist network security personnel in judgment and decision-making.


Sign in / Sign up

Export Citation Format

Share Document