Real-time software is required to react within certain time constraints. To forecast early in the design process whether or not the design approach chosen will fulfill those time constraints without costly prototyping...
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ISBN:
(纸本)0818619120
Real-time software is required to react within certain time constraints. To forecast early in the design process whether or not the design approach chosen will fulfill those time constraints without costly prototyping, two methods have been developed: open-loop dynamic evaluation of time-critical parts of executable design specifications, and animating a closed-loop system, consisting of the executable design specifications coupled to a dynamic simulation model of the physical system involved. Both methods are explained using examples. In both methods, instead of constructing a simulation model of the software to be produced, the design representation itself is used as a 'simulation model'. By integrating these methods in the CASE (computer-aided software-engineering) environment EPOS, real-time software technology has been brought closer to the aim of automating the software-development process. A major drawback of the methods is that the quality of the forecasts depends on the quality of the estimates of time durations and thus on the experience of the software engineers.
Real-time software is required to react within certain time constraints. To forecast early in the design process whether or not the design approach chosen will fulfil those time constraints without costly prototyping,...
详细信息
Real-time software is required to react within certain time constraints. To forecast early in the design process whether or not the design approach chosen will fulfil those time constraints without costly prototyping, two methods have been developed: open-loop dynamic evaluation of time-critical parts of executable design specifications, and animating a closed-loop system, consisting of the executable design specifications coupled to a dynamic simulation model of the physical system involved. Both methods are explained using examples. In both methods, instead of constructing a simulation model of the software to be produced, the design representation itself is used as a 'simulation model'. By integrating these methods in the CASE (computer-aided software-engineering) environment EPOS, real-time software technology has been brought closer to the aim of automating the software-development process. A major drawback of the methods is that the quality of the forecasts depends on the quality of the estimates of time durations and thus on the experience of the software engineers.< >
Modern analysis and simulation tools provide the control Engineer with the ability to easily analyze complicated processcontrol systems. These tools permit the study of control instabilities, loop interactions, respo...
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Modern analysis and simulation tools provide the control Engineer with the ability to easily analyze complicated processcontrol systems. These tools permit the study of control instabilities, loop interactions, response rates and controller designs before the system is implemented. They also provide an indispensable tool for the model development, simulation commissioning and tuning of complex processcontrol systems. This paper addresses several applications of these tools to control system synthesis and design in the Steel Industry.
The concept presented was developed to support the repeated optimizing process of controllers by an expert system in a very simple way. We developed a method that enables us to record the history of such a process ver...
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The concept presented was developed to support the repeated optimizing process of controllers by an expert system in a very simple way. We developed a method that enables us to record the history of such a process very easily. It even enables us to derive new knowledge from the history during the optimizing process. The constructs for analyzing history which are added as new elements to an existing knowledge representation language are based on the principal mechanisms of acquiring new knowledge (gained from the evaluation of analogies). These constructs support the explicit modelling of experience from the history.
With the advent of knowledge based techniques and tools, more and more automation engineers find themselves in the position of knowledge engineers. They have to formalize developmental knowledge and experience in orde...
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With the advent of knowledge based techniques and tools, more and more automation engineers find themselves in the position of knowledge engineers. They have to formalize developmental knowledge and experience in order to make it accessible to the computer. A formal and yet easy-to-grasp language for the representation of knowledge from the automation field, PATHOS, was developed at IRP at the University of Stuttgart. In this paper, the fundamental aspects of knowledge representation in PATHOS are presented. The main part of the paper deals with the treatment of inexact knowledge and data, and proposes a scheme for the coupling of symbol-oriented knowledge bases with numerically oriented technical processes through linguistic variables and fuzzy logic.
This work discusses a method for the semantic description of project results through the aid of a user definable faceted classification system. Project results of previously carried out projects, e.g. concepts, contro...
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This work discusses a method for the semantic description of project results through the aid of a user definable faceted classification system. Project results of previously carried out projects, e.g. concepts, control systems or pieces of real time software are catalogued in this classification scheme via a descriptor, which serves as contentual representation for them. The method of ‘Descriptive Search’ is based on the comparison of a search descriptor, given by the user in a search query, with the actual descriptors of the catalogued projects. By the evaluation of a similarity measure the comparison of the search descriptor with the existing project descriptors leads to a list of project results, which is ranked according to relevance to the search query. With this method not only a separation of relevant results from irrelevant ones is achieved, but also a ranking of the relevant results with respect to the degree of similarity to the search query.
Although the developmental and the managerial engineering activities during an automation project are different in nature, they are closely interrelated. Therefore, an integration of development and management support...
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Although the developmental and the managerial engineering activities during an automation project are different in nature, they are closely interrelated. Therefore, an integration of development and management support is advocated for software engineering and information engineering environments. The current, state of the art in the field of integrated project support environments is then reviewed, giving an overview on environments which are in development or which are already commercially available. As an example, the integrated project support environment EPOS, which is in practical use already, is explained, considering especially some features which are providing support for interrelations between developmental and managerial tasks. Finally, unsolved problems are mentioned and future directions are indicated.
Development support systems provide help during one or several phases of the development of a hardware/software system. They lack, however, the means to evaluate textual data, such as the description of constraints an...
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Development support systems provide help during one or several phases of the development of a hardware/software system. They lack, however, the means to evaluate textual data, such as the description of constraints and explanatory texts, and cannot make use of results from earlier projects. This is the aim of the Project Advisor, a knowledge based support system within a tool frame. To enter knowledge about processautomation development into the Project Advisor, the frame oriented knowledge representation Language PATHOS has been defined. It consists of six descriptive formats, explained in this paper. As an example of a consulting system with knowledge expressed in PATHOS, a design method advisor is presented.
A new control computer system is presented which has the capability to control real time problems including multitasking using the high level language PEARL. The hardware of the PLPC is composed of the widespread FORC...
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A new control computer system is presented which has the capability to control real time problems including multitasking using the high level language PEARL. The hardware of the PLPC is composed of the widespread FORCE-Profl-kit 2 as CPU board, standard peripheral devices like low cost alphanumeric terminal and printer, and some process periphery boards which can easily be duplicated with laboratory means. The system software package which is resident in EPROM's comprises all the necessary components and utilities to support the development and execution of PEARL codedprograms. This was possible because a new concept allowed to construct a PEARL compiler that needs little memory space in comparison to other existing PEARL compilers. The discussed applications show both the powerful facilities and the low cost aspects of the PLPC. The discussed aspects prove, that the PLPC forms a welcome possibility to do real time computing for education organisations (e.g. universities) and industry when involved with automation projects of smaller size.
作者:
DUNIETZ, ISHSU, JLCMCEACHERN, MTSTOCKING, JHSWARTZ, MATROMBLY, RMThe authors
Irwin S. Dunietz John L.C. Hsu Michael T. McEachern James H. Stocking Mark A. Swartz andRodney M. Tromblyare responsible for design and development of the Manufacturing Process Control System. Mr. Dunietz joined AT&T in 1980. He is a member of the technical staff in the Manufacturing Information Automation department at AT&T Engineering Research Center Princeton New Jersey. He received an A.B. in mathematics from Cornell University and an M.S.E. in computer science from Princeton University. Mr. Hsu who joined AT&T in 1970 is a department head in the Manufacturing Information Automation department at the Engineering Research Center. He received an M.S. in electrical engineering from the University of Missouri. Mr. McEachern joined AT&T in 1962 and is a supervisor in the 5ESS™ Line Unit Manufacturing department at AT&T Technologies in Oklahoma City Oklahoma. He is responsible for the manufacturing process control center in Oklahoma City which provides computerized support for all circuit pack manufacturing. Mr. Stocking who joined AT&T in 1975 is a supervisor in the Manufacturing Information Automation department at the Engineering Research Center. He received a B.S. in chemical engineering from Rensselaer Polytechnic Institute and a Ph.D. in chemical engineering from the University of California Berkeley. Mr. Swartz joined AT&T in 1980 and is a member of the technical staff in the Manufacturing Information Automation department at the Engineering Research Center. He received an A.B. in computer science from Cornell University and an M.S. in computer science from Rutgers—The State University. Mr. Trombly who joined AT&T in 19 78 is an assistant manager at the AT&T Merrimack Valley Works in Massachusetts. Previously he was a supervisor at the Engineering Research Center. He holds a B.S. in computers and systems engineering and an M.S.E.E. from Rensselaer Polytechnic Institute.
The central challenge of all manufacturing is making products to the right standards and delivering them at the right time. AT&T is upgrading its corporate and factory resource planning systems to improve control ...
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The central challenge of all manufacturing is making products to the right standards and delivering them at the right time. AT&T is upgrading its corporate and factory resource planning systems to improve control of day-to-day manufacturing. The Manufacturing processcontrol System (MPCS), developed at the AT&T engineering Research Center (ERC), provides this support. MPCS connects the shop floor with production scheduling, accounting, product data archive, and engineering support systems.
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