The Experts below are selected from a list of 213816 Experts worldwide ranked by ideXlab platform
Tetsuo Fuchino - One of the best experts on this subject based on the ideXlab platform.
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Study on Safety Operation Support System by Using the Risk Management Information
Lecture Notes in Computer Science, 2006Co-Authors: Yukiyasu Shimada, Takashi Hamaguchi, Kazuhiro Takeda, Teiji Kitajima, Atsushi Aoyama, Tetsuo FuchinoAbstract:In case of abnormal situation of chemical process plant, it is required to judge the plant condition correctly and carry out the unerring response. Many Operation Support systems were proposed to help the plant operator with such judgment and Operation decision making, but most of them could not indicate the rationale for Operation, because they used only information on the result of plant design. Therefore, plant operator could not get the theoretical information for Operation decision making from it. This paper proposes the safety Operation Support system which helps the Operation decision making based on the risk management information (RMI). The RMI is useful one for the theoretical Operation decision making, because it is considered and updated through the plant life cycle (PLC) and includes the information on the design rationale (DR) of the safety countermeasure, the intents of corresponding Operation, etc. PVC batch process is used for verifying the effectiveness of proposed method.
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KES (2) - Study on safety Operation Support system by using the risk management information
Lecture Notes in Computer Science, 2006Co-Authors: Yukiyasu Shimada, Takashi Hamaguchi, Kazuhiro Takeda, Teiji Kitajima, Atsushi Aoyama, Tetsuo FuchinoAbstract:In case of abnormal situation of chemical process plant, it is required to judge the plant condition correctly and carry out the unerring response. Many Operation Support systems were proposed to help the plant operator with such judgment and Operation decision making, but most of them could not indicate the rationale for Operation, because they used only information on the result of plant design. Therefore, plant operator could not get the theoretical information for Operation decision making from it. This paper proposes the safety Operation Support system which helps the Operation decision making based on the risk management information (RMI). The RMI is useful one for the theoretical Operation decision making, because it is considered and updated through the plant life cycle (PLC) and includes the information on the design rationale (DR) of the safety countermeasure, the intents of corresponding Operation, etc. PVC batch process is used for verifying the effectiveness of proposed method.
M Rao - One of the best experts on this subject based on the ideXlab platform.
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Intelligent system architecture for process Operation Support
Expert Systems with Applications, 2000Co-Authors: M Rao, X. Sun, J. FengAbstract:Abstract This paper presents a generic intelligent system platform, namely INTEMOR (INTElligent Multimedia system for On-line Real-time application), for process Operation Support. INTEMOR is developed by combining artificial intelligence, computer system and information technology into a unified environment. It integrates various function modules to perform Operation Support tasks, including communication gateway, data processing and analysis, on-line process monitoring and diagnosis, on-line Operation manual, equipment maintenance assistance, reasoning system, knowledge-base creator and multimedia interface. The industrial applications of INTEMOR on a boiler system and a chemical pulping process are illustrated.
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Knowledge architecture and system design for intelligent Operation Support systems
Expert Systems with Applications, 1999Co-Authors: Q Xia, M RaoAbstract:Abstract Intelligent Operation Support systems emerged from the complexity of modern industrial plants and the availability of inexpensive computer hardware. Modern industrial plants often collect vast amount of process data in distributed control systems and management information systems. Time stress due to data overload and decision uncertainty increases the risk of operator errors. Comprehensive Operation Support to the operator in abnormal situations to reduce operator errors is strongly suggested. The solution to this problem is to design intelligent Operation Support systems that reduce the cognitive load placed on operators by providing guidance for knowledge-based decision making. This paper presents an intelligent Operation Support system (IOSS) structure using rich knowledge representation and hybrid reasoning strategy. The functional requirements and desired features for IOSS are defined. The human operator's recognition behavior is analyzed. It is shown that a hybrid reasoning environment that combines case-based reasoning (CBR), model-based reasoning (MBR) and rule-based reasoning (RBR) is consistent with operator's problem solving. A multidimensional problem solving model is proposed to incorporate these requirements and human recognition behavior. The IOSS is designed by using the problem solving model as the guide.
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Actuator and sensor design for Operation Support systems
Computers in Industry, 1999Co-Authors: Q Xia, M RaoAbstract:This paper proposes a design approach for sensor and actuator placement in process Operation Support systems. The objective of the design is to find a set of sensors and actuators that satisfies the requirements of Operation Support systems, and meanwhile minimizes the instrumentation costs. The requirements of actuators and sensors in Operation Support systems are systematically formulated. The concept of fault distance is defined to measure the fault diagnosability and system diagnosability. The Operation tree that represents the control structure in abnormal situations is introduced. The design is performed based on the fault distance and Operation tree. A design example in the bleach plant of a pulp mill is illustrated.
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Dynamic case-based reasoning for process Operation Support systems
Engineering Applications of Artificial Intelligence, 1999Co-Authors: Qijun Xia, M RaoAbstract:Abstract Modern process industry is faced with ever-increasing requirements for better quality, higher production profits, safer Operation, and stringent environment regulation. New technologies are required to reduce the operator's cognitive load and achieve more consistent Operations. Operation Support systems, which help operators in obtaining effective and timely decisions, have attracted much attention. The research described here intended to develop an efficient reasoning method for Operation Support systems. It is pointed out that case-based reasoning (CBR), which is based on the concept that human memory is episodic in nature, is consistent with operator's problem solving. Despite their successful application to the solution of many problems, case-based reasoning methods are mostly static. Process Operation Support systems require a CBR method that can represent system dynamics and fault-propagation phenomena. To solve this problem, a new approach, namely dynamic case-based reasoning (DCBR), is developed. DCBR introduces a number of new mechanisms including time-tagged indexes, dynamic and composite features, and multiple indexing paths. As a result, it provides flexible case adaptation, timely and accurate problem solving, and an ability to incorporate other computational and reasoning methods.
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Hybrid reasoning methods for intelligent Operation Support systems
1999Co-Authors: M Rao, Qijun XiaAbstract:Process Operations are time critical situations. Faced with vast amount of process data, human operators may not be able to contribute a timely and effective solution. The industry requires new technologies to reduce the cognitive load placed on operators in nonroutine Operations. This thesis aims at developing artificial intelligence solutions to the Operation Support problems. A multi-dimensional problem solving model is developed following the analysis of the recognition behaviour of human operators and the characteristics of the process Operations. A multilayer modularity architecture is proposed to achieve the decomposition and coordination of system functions, production processes and the reasoning methods. The thesis focuses on the integration of various knowledge representations and reasoning methods. A hybrid reasoning method, which employs the case-based reasoning (CBR) as the principal reasoning paradigm and the other methods as the supplemental paradigms, is developed. A dynamic case-based reasoning (DCBR) method is developed to extend the CBR to dynamic problems. The DCBR utilizes new indexing mechanisms to incorporate system dynamics, and to improve problem solving coverage and flexibility. It allows easy integration of various reasoning paradigms into one environment. The model-based reasoning method is integrated with the DCBR for case adaptations and novel problem solving. A principal component analysis (PCA) method and a Kalman filter-based algorithm are developed and integrated with the DCBR for problem feature interpretation and abnormal condition identification. By compensating the limitations of the individual reasoning methods, the best system performance can be achieved. To enhance the intelligent Operation Support system (IOSS) with the capability of handling multimedia information, an intelligent hypermedia on-line manual is developed as the external knowledge base and multimedia operator interface of the IOSS. An actuator and sensor design algorithm is developed for Operation Support systems based on fault distances and objective trees that represent the instrumentation requirement of the IOSS. This algorithm selects an optimal set of actuators and sensors that ensures good system performance and the least hardware cost. The methods developed in this thesis improve the problem coverage, problem solving efficiency, knowledge representation and operator acceptability of the IOSS. A prototype IOSS has been developed and implemented on a bleached chemi-thermo-mechanical pulp plant with satisfactory results.
Li Zhi-shu - One of the best experts on this subject based on the ideXlab platform.
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CMMI impelling software quality management
Computer Engineering, 2004Co-Authors: Li Zhi-shuAbstract:CMMI is the standard model of the quality management. The characteristics of the CMMI were discussed by analyzing its application in the improvement of the quality management of the account project of the telecom business Operation Support system by the mistake prevention and the quality guarantee.
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Implementation of MA of CMMI PA in telecom business Operation Support system
Computer Engineering, 2004Co-Authors: Li Zhi-shuAbstract:Measurement and Analysis process area of CMMI Maturity Level 2 was discussed. The process of measurement and analysis process improvement in account project of the telecom business Operation Support system was described. How to identify and define Basic measurement metric and derived measurement metric in the account system was discussed. The collection and analysis of measurement data and the submission of measurement conclusions were also detailed.
Yukiyasu Shimada - One of the best experts on this subject based on the ideXlab platform.
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Study on Safety Operation Support System by Using the Risk Management Information
Lecture Notes in Computer Science, 2006Co-Authors: Yukiyasu Shimada, Takashi Hamaguchi, Kazuhiro Takeda, Teiji Kitajima, Atsushi Aoyama, Tetsuo FuchinoAbstract:In case of abnormal situation of chemical process plant, it is required to judge the plant condition correctly and carry out the unerring response. Many Operation Support systems were proposed to help the plant operator with such judgment and Operation decision making, but most of them could not indicate the rationale for Operation, because they used only information on the result of plant design. Therefore, plant operator could not get the theoretical information for Operation decision making from it. This paper proposes the safety Operation Support system which helps the Operation decision making based on the risk management information (RMI). The RMI is useful one for the theoretical Operation decision making, because it is considered and updated through the plant life cycle (PLC) and includes the information on the design rationale (DR) of the safety countermeasure, the intents of corresponding Operation, etc. PVC batch process is used for verifying the effectiveness of proposed method.
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KES (2) - Study on safety Operation Support system by using the risk management information
Lecture Notes in Computer Science, 2006Co-Authors: Yukiyasu Shimada, Takashi Hamaguchi, Kazuhiro Takeda, Teiji Kitajima, Atsushi Aoyama, Tetsuo FuchinoAbstract:In case of abnormal situation of chemical process plant, it is required to judge the plant condition correctly and carry out the unerring response. Many Operation Support systems were proposed to help the plant operator with such judgment and Operation decision making, but most of them could not indicate the rationale for Operation, because they used only information on the result of plant design. Therefore, plant operator could not get the theoretical information for Operation decision making from it. This paper proposes the safety Operation Support system which helps the Operation decision making based on the risk management information (RMI). The RMI is useful one for the theoretical Operation decision making, because it is considered and updated through the plant life cycle (PLC) and includes the information on the design rationale (DR) of the safety countermeasure, the intents of corresponding Operation, etc. PVC batch process is used for verifying the effectiveness of proposed method.
Wang Xiumei - One of the best experts on this subject based on the ideXlab platform.
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Rating Engine of the Billing System in the Telecommunication Operation Support System
Computer Engineering, 2006Co-Authors: Wang XiumeiAbstract:In this article,a brief introduction to the billing system in the telecommunication Operation Support system and a summarization to the present status of the rating engine are given;Then,basing on the comprehensive analysis to the design methods and combine experience of the practices,the thought and method of a new,advanced and high-performance rating engine are provided,and the particular deign is developed;Finally,the concrete and feasible approach to carry out the rating engine is specified.