E. Arakelyan, A. Andryushin, F. Pashchenko, S. Mezin, A. Kosoy
{"title":"Problems of Quantitative Estimation of the TPP' ACS TP Intelligence Level","authors":"E. Arakelyan, A. Andryushin, F. Pashchenko, S. Mezin, A. Kosoy","doi":"10.5383/juspn.14.02.003","DOIUrl":null,"url":null,"abstract":"Actual problems of increasing the intelligence of TPP’ (thermal power plant) automated control systems (ACS) built on the basis of modern PTC (program and technical complexes) are considered. It is shown that from the standpoint of the modern approach, complex technical control systems satisfy the definition of intelligent control systems as systems that act rationally and optimally. It is from these positions that the report considers the problems of increasing the intelligence of the TPP’ automated control system based on the creation of a unified system for improving the quality of control and solving optimization problems at all hierarchical levels of technological and production processes control. As an estimation of the level of intelligence, it is proposed to use a conditional \"intelligence coefficient\", the essence of which is to determine the share of intelligent technologies in the total volume of performed functions of the automated control system on the considered task or control function. A method for determining the intelligence coefficient at hierarchical levels of control and the automated control system as a whole is proposed. An illustrative example of calculating this coefficient at all hierarchical levels of control in relation to TPPs with CCGT (combine circle gas turbine)) PGU-450 is provided. It is shown that for a significant increase in the level of intelligence of the ACS based on PTC, special attention should be paid to the intellectualization of optimization problems at the block and station levels of control.","PeriodicalId":376249,"journal":{"name":"J. Ubiquitous Syst. Pervasive Networks","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Ubiquitous Syst. Pervasive Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5383/juspn.14.02.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Actual problems of increasing the intelligence of TPP’ (thermal power plant) automated control systems (ACS) built on the basis of modern PTC (program and technical complexes) are considered. It is shown that from the standpoint of the modern approach, complex technical control systems satisfy the definition of intelligent control systems as systems that act rationally and optimally. It is from these positions that the report considers the problems of increasing the intelligence of the TPP’ automated control system based on the creation of a unified system for improving the quality of control and solving optimization problems at all hierarchical levels of technological and production processes control. As an estimation of the level of intelligence, it is proposed to use a conditional "intelligence coefficient", the essence of which is to determine the share of intelligent technologies in the total volume of performed functions of the automated control system on the considered task or control function. A method for determining the intelligence coefficient at hierarchical levels of control and the automated control system as a whole is proposed. An illustrative example of calculating this coefficient at all hierarchical levels of control in relation to TPPs with CCGT (combine circle gas turbine)) PGU-450 is provided. It is shown that for a significant increase in the level of intelligence of the ACS based on PTC, special attention should be paid to the intellectualization of optimization problems at the block and station levels of control.