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L. A Kuznetsov., R. V Batischev MODELLING AND SIMULATION OF COMPLICATED INDUSTRIAL SYSTEMS



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L. A Kuznetsov., R. V Batischev MODELLING AND SIMULATION OF COMPLICATED INDUSTRIAL SYSTEMS

Modelling of complicated systems is an effective method at decision of problem of the analysis and synthesis of control. From all models which used in mechanical methods of a research is possible to select most universal class - of the simulation models (SM). However construction of the simulation model of production is a labour-consuming problem.

The researches on problems SM construction automation of complicated systems are accounted in [1, 2]. On the basis of this investigations the attempt to create the universal instrument for construction such SM [3] was initiated.

In order to form universal sets of objects' characteristics sufficient for construction the models of any manufacturing the data domains was studied very wide and various production types were investigated. In results the sets which described elements of technological steam unit [2, 3] were extended, the principles of connection of gangs of aggregates separate units of a system were specified. For sets of attributes of aggregate exposition the connection with technological operations, tunings under a concrete process engineering, reliability of operation is necessary. Item, for warehouse the gang of rules of sample of units of production was defined. It was established that at describing of structure of technological line-up units interaction such system representations of the theory of webs of a queuings interpreted in appropriate way for the given problem may be partially used.

It is supposed, that the further development of this work will allow to create the universal tool for a construction SM.

References


  1. Бусленко В. Н. Автоматизация имитационного моделирования сложных систем. М., Наука, 1977 г.

  2. Кузнецов Л. А. Гордеев В. В. // Известия ВУЗОВ. Черная металлургия. 1994. № 7. С.66-69

  3. Кузнецов Л. А. Бурцев В. Д. // Известия ВУЗОВ. Черная металлургия. 1998. № 11. С.56-62


V.S. Mechonoschin, A.M. Lebedev DECISION-MAKING IN EMERGENCY SITUATION: FORMAL AND INFORMAL MODELS of INTEGRITY

The efficiency of decision making and its realisation in «man-machine - envi-roment» system depends on a man proficiency and automatic control perfection.

The authors have investigated the problems of «man-machine- enviroment» system operation modes and its status control when analysing «man-machine- enviroment» system functioning and a variety of its parameters, conditions and limitations.

The report contains the results of analysis of the system status, which is referred to as « an emergency situation». The typical feature of such situations is simultaneous interaction of several cause factors, which eventually result in incidents, accidents or crashes.

Provided that such systems are equipped with automatic control, accident prevention decision-making process is carried out on the basis of advanced formal (mathematical) models, providing the application of computers, for example, it may be an n-matrix, which either simulates system status control pointwise or time-discretly.

In combined intelligent systems the decision is made by machine-and- man interaction .

In this case a man uses creative (informal) models of decision making.

Special attention is paid to the situations in which due to automatic control failure the decision making process based on formal approach should be substituted by an informal based process, carried out by a man.

The autors suggest the following approach to the solution of this problem:

- representation of any system status automatic control process as hierarchical logical decision making structure-decision tree obtained with the help of decision matrix transformation;

- decision making automatic process time monitoring with the help of decision tree representation;

- reliable change over from formal to informal decision making process in case of automatic control failure.

Thus it is possible to prevent dangerous situation with the use of methodologically approved decision making process, graphical representation both for formal and informal approaches.


A.S. Poluektov SEMANTIC INTEGRATION OF DISTRIBUTED DATABASES

ON THE BASE OF FRAME  MODEL SYSTEMS OF REPRESENTATION OF KNOWLEDGE

In conditions of prompt accumulation of data in various data domains has appeared the necessity of construction of a new data model, with the help of with which the semantic integration of distributed databases (DDB) would be possible.

The model of data described in the given operation, satisfies to the following requirements:


  1. objects of the actual world are described semantic by a homogeneous method, since their interpretation should result in unambiguous outcomes appropriate to semantics of a data domain;

  2. the descriptions of a conceptual model implements on the bases of object-oriented approach, where for the basis is taken frame's model of representation of knowledges.

For creation of a homogeneous model is conducted the uniform classification of data domains which reveals semantic differences of DDB, and also allows to unit independent data domains by creation of abstract objects (or generalizations) more high level of a hierarchy. After realization of a classification, the data description of a concrete data domain implements usual software. The designing of a common model of data domains DDB implements on a conceptual level with use the frames, integrated semantic network. For program implementation frames system most conveniently are the tools of object-oriented programming.

Using the concept of object-oriented programming on a model semantic systems of representation of knowledges we have received the effective mechanism of a data definition of independent data domains. The represented approach describes not data processing of a data domain, and tool of manipulation by their models. With application this mechanism in distributed networks, including in Internet, is possible the homogeneous information processing independent of stored data.





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