Multiple sensor expert system for diagnostic reasoning, monitoring and control of mechanical systems

1988 ◽  
Vol 2 (2) ◽  
pp. 165-185 ◽  
Author(s):  
Alice M. Agogino ◽  
Sampath Srinivas ◽  
Kenneth M. Schneider
Keyword(s):  
Expert System ◽  
Mechanical Systems ◽  
Diagnostic Reasoning ◽  
Monitoring And Control ◽  
Multiple Sensor ◽  
And Control

Integration of distributed multi-analyzer monitoring and control in bioprocessing based on a real-time expert system

2003 ◽  
Vol 103 (3) ◽  
pp. 237-248 ◽  
Author(s):  
Christian Cimander ◽  
Thomas Bachinger ◽  
Carl-Fredrik Mandenius
Keyword(s):  
Expert System ◽  
Real Time ◽  
Monitoring And Control ◽  
And Control

scholarly journals Automated data monitoring of MEMS cleanroom parametric requirements

2021 ◽  
Vol 23 (2) ◽  
pp. 701
Author(s):  
Jean M. Capanang ◽  
Jobelle P. Panganiban ◽  
Glenn N. Ortiz ◽  
Mark Joseph B. Enojas
Keyword(s):  
User Interface ◽  
Relative Humidity ◽  
Mechanical Systems ◽  
Data Monitoring ◽  
Monitoring And Control ◽  
Data Logger ◽  
Micro Electro Mechanical Systems ◽  
Particle Count ◽  
Lcd Display ◽  
And Control

<p>Cleanroom parameters such as temperature, relative humidity and particle count are vital in maintaining cleanliness. People and machines working inside the cleanroom are main contributors for the sudden changes of the separameters. Measurements and monitoring of these parameters are therefore necessary to reduce rejects and downtime in the production of micro-electro-mechanical systems (MEMS). This paper presents a method of developmentof an automated data monitoring of MEMS cleanroom parametric requirements. The prototype developed uses DHT11 sensor and Sharp dust sensor for measuring the temperature, humidity and particle count respectively which are displayed in an LCD display. These parameters are recorded through a data logger for analysis and control. Additionally, agraphical user interface was also developed using visual studio for the working personnel and for supervisory monitoring and control. As a result, the possible quality compromise in the production of MEMS is detected when the monitored parameters are beyond the range.</p>

Application of an expert system to monitoring and control in aquaculture

1991 ◽  
Vol 4 (3) ◽  
pp. 165-171 ◽  
Author(s):  
D.D. Harris ◽  
Feng Zhang ◽  
P.H. Sydenham
Keyword(s):  
Expert System ◽  
Monitoring And Control ◽  
And Control

Study on Safety Expert System Based on Internet of Things

2014 ◽  
Vol 962-965 ◽  
pp. 2716-2720 ◽  
Author(s):  
Liang Wang ◽  
Fei Xue ◽  
Bai Sheng Nie ◽  
Chun Liang Wang
Keyword(s):  
Expert System ◽  
Internet Of Things ◽  
Control Systems ◽  
Information Acquisition ◽  
Coal Mines ◽  
Safety Monitoring ◽  
Monitoring And Control ◽  
Monitoring And Control Systems ◽  
And Control ◽  
Development Structure

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.

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