Distributed expert system for the monitoring and control of chemical processes

Author(s):  
Miguel Peris ◽  
Alberto Bonastre ◽  
Rafael Ors
2003 ◽  
Vol 103 (3) ◽  
pp. 237-248 ◽  
Author(s):  
Christian Cimander ◽  
Thomas Bachinger ◽  
Carl-Fredrik Mandenius

1991 ◽  
Vol 4 (3) ◽  
pp. 165-171 ◽  
Author(s):  
D.D. Harris ◽  
Feng Zhang ◽  
P.H. Sydenham

2014 ◽  
Vol 962-965 ◽  
pp. 2716-2720 ◽  
Author(s):  
Liang Wang ◽  
Fei Xue ◽  
Bai Sheng Nie ◽  
Chun Liang Wang

In order to realize instant and accurate safety monitoring and early warning of key segments of coal mines, the development, structure and characteristics of "Internet of Things" (IOT) were discussed, which indicated that EPC Global and Ubiquitous ID (UID) systems are the most prevalent two models and Both contain “acquisition, transmission, processing and feedback of information”. After that, the physical model of safety expert system (SES) was established based on IOT, and the information acquisition segment was also introduced, which functioned as the core in the whole system. SES was thus utilized in coal mines which include different monitoring and control systems such as underground personnel monitoring system and automatic control system of main fan, and also an application example was discussed. The results show that the SES will be of great importance in safety monitoring and alerting of coal mines and worth promotion.


2001 ◽  
Vol 43 (7) ◽  
pp. 191-198 ◽  
Author(s):  
A. Puñal ◽  
J. Rodríguez ◽  
A. Franco ◽  
E. F. Carrasco ◽  
E. Roca ◽  
...  

A fuzzy-based expert system (ES) for the diagnosis and supervision for anaerobic digesters is presented. The system was developed in a Microsoft Windows support using fuzzy logic inference together with a rule base for the implementation of expert knowledge. The ES runs on-line through three main modules, which determine the state and trend of the process, and the best set points for the actuation on the final control elements of the plant. Two further modules run in parallel, when they are required by the operator, using off-line and on-line information for the detection of inhibition due to toxic compounds in the process and for the validation of the on-line diagnosis. The diagnosis and supervision ES was tuned up in order to adjust the membership functions describing the process, and lately tested, running on-line, to study the response of the rule base.


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