- Email: [email protected]
211 BIOTECH: A real-time application of artificial intelligence for fermentation processes
1100
Abstracts
application, which is now operational. Kiln 02 control fuzzy roles, which are very similar to those of real operations, are obtained using the methodology.
208 Contribution of Fuzzy Logic Control to the Improvement of Modern Car Performances S. Boverle, B. Demaya, J.M. Le Quellec, A. Titii, pp 291-297 After a short introduction to fuzzy comrol, this paper presents an overview of the applications for which this new control technique is used to improve the performance of modem cars. These applications are: a. Engine Idle Speed, b. Automatic Transmission, c. Cruise controller, d. Anti-Knock control system. A quick overview is given on the applications (a), Co), (c), roposed by different car manufacturers and described in the terature. More attention will be paid to the application (d). This study confirms the advantages of using a fuzzy logic controller, in panicuhr for its good properties in terms of robusmess, in addition to easy design andimplementation.
~i
209 The Application of Artificial Neural Networks to Non. Intrusive Multi.Phase Metering C.P. Sheppard, D, Russell, pp 299.304 Transducers monitoring multi-phsse flow in pipelines produce complex signals containing a wealth of informataon. Whilst this information is difficult to assimilate, it does contain intrinsically the characteristics of the natural flow. However, conventional signal processing techniques find such complex signals difficult to analyse due to the high level of understanding of the signal required to implement the processing algorithms. EDS-Scicon and CALtex have undertaken a joint venture to investigate the application of aniticial neural networks to multi-phase flow metering using non-intrusive sensor information. A neural network architecture has been developed which, trained on examples of sensor signals for different liquid and gas flow rates, has the ability to infer flow regime and individual phase flow rates. This paper describes the techniques employed in the system and presents results from test trials. The paper also makes particular reference to the importance in input data conditioning and describes an on-going work programme.
210 Neural-Net Computing for Real-Time Control of a Ship's D y n m i c Positioning at Sea Mao Xlang Gu, Yoh-Han Pao, P.P.C. Yap, pp 305-314 Dynamic positioning or station-keeping of vessels is a technique which uses ship-motmtr~ propulsors and lateral thrusters to connteract environmental forces acting on the vessel due to wind, waves and currents, thereby maintaining it as closely as possible at some desired position in the horizontal plane. This paper reports on an exploration of the feasibility of using a neural-net model which takes measurements of wave motion and provides estimates of forces exerted on the ship. Dynamic positioning was demonstrated with simulation. A training data acquisition scheme is also described.
211 BIOTECH: A Real-Time Application of Artificial Intelligence for Fermentation Processes J.P. Steyer, I. Queinnec, D. Simoes, pp 315-321 The purpose of this work was to exploit the main features and the advantages of qualitative physics. The influences among the process variables were modelled with the hdp of a causal graph, using qualitative operators. The reasoning about the standard state retraced the causal path explaining the observed behavioun according to the trends of the observable variables. Conflict situations could be solved using temporal notions. Throe concepts were tailored to fermentation processes. An on-line Expert System (650 rules) has been built with the tim of deriving the behavionr of the process. 212 FORMENTOR: A Real-Time Expert System for Risk Prevention In Complex Hazardous Environments: A Case Study M. Wllikens, J.P. Nordvik, A. Poncet, pp 323-328 This paper presents an overview of the Formentor project and of a prototype being developed for a specific sub-system of a nuclear power plant. The various activities to be perfomw,d by such a system are presented, as well as the modular architecture that supports those activities. The concept of Safety Oriented Model is introduced by means of the Goal Tree-Success Tree (GTST) methodology. The basic components and mechanisms of GTSTs are described in detail It is argued that the GTST methodology provides an efficient way to describe the safety related aspects of a plant with states that evolve dynamically, and supports the major activities required for building a Formentor system. 213 Development of a Real.Time Expert System for Wastewater Treatment Plants Control P. Serra, J. Lafuente, R. Moreno, C. de Prada, M. Pooh, pp 329.335 A real-time expert system to control wastewater treatment plants is presented. The software has been developed in the G2 environment. It contains: an interface that Permits on-line acquisition of plant data using G2 standard interface (GSI), a predictive control algorithm for dissolved oxygen (DO) control, and a graphical interface between the expert system and the operator. The dissolved oxygen control is performed using a non-linear predictive control algorithm, that has been developed to satisfy quality constraints whilst reducing energy demands. The algorithm uses data obtained from the plant by hardware sensors, and software which recursivdy esumates the oxygen uptake rate. All these elements are integrated in a knowledge base that includes a set of diagnosis, detection, prediction and operation rules, making the system capable of handling a wide number of usual (where predictive control can be useful) and unusual situations (where quantitative and qualitative information must be considered). 214 TDC 3000 Expert in Refineries: Application on a Desalting Unit B. Delaunoit, M. Dumont, M. Mertens, E. Dufour, H. Gllles, pp 337-345 This paper describes the TDC 30(30 Expert package developed by Honeywell to help plant operators in their daily task. TDC 3000 Expert is an expert syst~n shell designed for the specific tasks of advising operators in a process control room equipped with Honeywell TDC 3000 systems. Since September 1991, TDC 3000 Expert has been monitoring the desalting unit of the Elf-Grandpuits refinery/France. The application is described in general and some details are pinpointed in order toplace emphasis on the key concepts of the shell: the kno~waeledg representation, the embedded reasoning technique and the operator interface.
Customers wishing to purchase copies of the publications abstracted in this section should contact their nearest Pergamon Press office (as below), quoting the ISBN and title: Pergamon Press Ltd, Headington Hill Hall, Oxford OX3 0BW, UK
Pergamon Press Inc., 660 White Plains Road, Tarrytown NY 10591-5153, USA
Abstracts
application, which is now operational. Kiln 02 control fuzzy roles, which are very similar to those of real operations, are obtained using the methodology.
208 Contribution of Fuzzy Logic Control to the Improvement of Modern Car Performances S. Boverle, B. Demaya, J.M. Le Quellec, A. Titii, pp 291-297 After a short introduction to fuzzy comrol, this paper presents an overview of the applications for which this new control technique is used to improve the performance of modem cars. These applications are: a. Engine Idle Speed, b. Automatic Transmission, c. Cruise controller, d. Anti-Knock control system. A quick overview is given on the applications (a), Co), (c), roposed by different car manufacturers and described in the terature. More attention will be paid to the application (d). This study confirms the advantages of using a fuzzy logic controller, in panicuhr for its good properties in terms of robusmess, in addition to easy design andimplementation.
~i
209 The Application of Artificial Neural Networks to Non. Intrusive Multi.Phase Metering C.P. Sheppard, D, Russell, pp 299.304 Transducers monitoring multi-phsse flow in pipelines produce complex signals containing a wealth of informataon. Whilst this information is difficult to assimilate, it does contain intrinsically the characteristics of the natural flow. However, conventional signal processing techniques find such complex signals difficult to analyse due to the high level of understanding of the signal required to implement the processing algorithms. EDS-Scicon and CALtex have undertaken a joint venture to investigate the application of aniticial neural networks to multi-phase flow metering using non-intrusive sensor information. A neural network architecture has been developed which, trained on examples of sensor signals for different liquid and gas flow rates, has the ability to infer flow regime and individual phase flow rates. This paper describes the techniques employed in the system and presents results from test trials. The paper also makes particular reference to the importance in input data conditioning and describes an on-going work programme.
210 Neural-Net Computing for Real-Time Control of a Ship's D y n m i c Positioning at Sea Mao Xlang Gu, Yoh-Han Pao, P.P.C. Yap, pp 305-314 Dynamic positioning or station-keeping of vessels is a technique which uses ship-motmtr~ propulsors and lateral thrusters to connteract environmental forces acting on the vessel due to wind, waves and currents, thereby maintaining it as closely as possible at some desired position in the horizontal plane. This paper reports on an exploration of the feasibility of using a neural-net model which takes measurements of wave motion and provides estimates of forces exerted on the ship. Dynamic positioning was demonstrated with simulation. A training data acquisition scheme is also described.
211 BIOTECH: A Real-Time Application of Artificial Intelligence for Fermentation Processes J.P. Steyer, I. Queinnec, D. Simoes, pp 315-321 The purpose of this work was to exploit the main features and the advantages of qualitative physics. The influences among the process variables were modelled with the hdp of a causal graph, using qualitative operators. The reasoning about the standard state retraced the causal path explaining the observed behavioun according to the trends of the observable variables. Conflict situations could be solved using temporal notions. Throe concepts were tailored to fermentation processes. An on-line Expert System (650 rules) has been built with the tim of deriving the behavionr of the process. 212 FORMENTOR: A Real-Time Expert System for Risk Prevention In Complex Hazardous Environments: A Case Study M. Wllikens, J.P. Nordvik, A. Poncet, pp 323-328 This paper presents an overview of the Formentor project and of a prototype being developed for a specific sub-system of a nuclear power plant. The various activities to be perfomw,d by such a system are presented, as well as the modular architecture that supports those activities. The concept of Safety Oriented Model is introduced by means of the Goal Tree-Success Tree (GTST) methodology. The basic components and mechanisms of GTSTs are described in detail It is argued that the GTST methodology provides an efficient way to describe the safety related aspects of a plant with states that evolve dynamically, and supports the major activities required for building a Formentor system. 213 Development of a Real.Time Expert System for Wastewater Treatment Plants Control P. Serra, J. Lafuente, R. Moreno, C. de Prada, M. Pooh, pp 329.335 A real-time expert system to control wastewater treatment plants is presented. The software has been developed in the G2 environment. It contains: an interface that Permits on-line acquisition of plant data using G2 standard interface (GSI), a predictive control algorithm for dissolved oxygen (DO) control, and a graphical interface between the expert system and the operator. The dissolved oxygen control is performed using a non-linear predictive control algorithm, that has been developed to satisfy quality constraints whilst reducing energy demands. The algorithm uses data obtained from the plant by hardware sensors, and software which recursivdy esumates the oxygen uptake rate. All these elements are integrated in a knowledge base that includes a set of diagnosis, detection, prediction and operation rules, making the system capable of handling a wide number of usual (where predictive control can be useful) and unusual situations (where quantitative and qualitative information must be considered). 214 TDC 3000 Expert in Refineries: Application on a Desalting Unit B. Delaunoit, M. Dumont, M. Mertens, E. Dufour, H. Gllles, pp 337-345 This paper describes the TDC 30(30 Expert package developed by Honeywell to help plant operators in their daily task. TDC 3000 Expert is an expert syst~n shell designed for the specific tasks of advising operators in a process control room equipped with Honeywell TDC 3000 systems. Since September 1991, TDC 3000 Expert has been monitoring the desalting unit of the Elf-Grandpuits refinery/France. The application is described in general and some details are pinpointed in order toplace emphasis on the key concepts of the shell: the kno~waeledg representation, the embedded reasoning technique and the operator interface.
Customers wishing to purchase copies of the publications abstracted in this section should contact their nearest Pergamon Press office (as below), quoting the ISBN and title: Pergamon Press Ltd, Headington Hill Hall, Oxford OX3 0BW, UK
Pergamon Press Inc., 660 White Plains Road, Tarrytown NY 10591-5153, USA