N. Kunicina, A. Zabasta, K. Kondratjevs, J. Chaiko, A. Patlins
{"title":"关键基础设施自适应计算机控制标准和智能子系统","authors":"N. Kunicina, A. Zabasta, K. Kondratjevs, J. Chaiko, A. Patlins","doi":"10.1109/RTUCON48111.2019.8982348","DOIUrl":null,"url":null,"abstract":"The interruptions in the Critical Infrastructure services may rise as interruptions of production, service as well as damaging of production lines. The size, geographical distribution as well as complexity of critical infrastructures require additional systems for the control and monitoring of CIS on requested level. Municipal networks: water distribution, district heating, sewage networks etc. operate under harsh environmental conditions, however, being a part of the Critical Infrastructure they have to meet reliability and safety requirements. Their maintenance municipal networks depend on the data collected on their status, and the decisions on due corrective actions. Condition Based Maintenance (CBM) or Proactive Maintenance (PM), rather than scheduling maintenance actions, which are based on operating hours and servicing volume, promises to be more reliable and even more effective. Thus, PM requires the effective combination of data collection, analysis, presentation and decision making processes. The modular wireless sensor network based solutions was designed that incorporates selectable communication interfaces, which integrate supplementary monitoring subsystems in this line in order to have different service control and feedback control.","PeriodicalId":317349,"journal":{"name":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Critical infrastructure adaptive computer control of standard and smart subsystems\",\"authors\":\"N. Kunicina, A. Zabasta, K. Kondratjevs, J. Chaiko, A. Patlins\",\"doi\":\"10.1109/RTUCON48111.2019.8982348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The interruptions in the Critical Infrastructure services may rise as interruptions of production, service as well as damaging of production lines. The size, geographical distribution as well as complexity of critical infrastructures require additional systems for the control and monitoring of CIS on requested level. Municipal networks: water distribution, district heating, sewage networks etc. operate under harsh environmental conditions, however, being a part of the Critical Infrastructure they have to meet reliability and safety requirements. Their maintenance municipal networks depend on the data collected on their status, and the decisions on due corrective actions. Condition Based Maintenance (CBM) or Proactive Maintenance (PM), rather than scheduling maintenance actions, which are based on operating hours and servicing volume, promises to be more reliable and even more effective. Thus, PM requires the effective combination of data collection, analysis, presentation and decision making processes. The modular wireless sensor network based solutions was designed that incorporates selectable communication interfaces, which integrate supplementary monitoring subsystems in this line in order to have different service control and feedback control.\",\"PeriodicalId\":317349,\"journal\":{\"name\":\"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTUCON48111.2019.8982348\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON48111.2019.8982348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Critical infrastructure adaptive computer control of standard and smart subsystems
The interruptions in the Critical Infrastructure services may rise as interruptions of production, service as well as damaging of production lines. The size, geographical distribution as well as complexity of critical infrastructures require additional systems for the control and monitoring of CIS on requested level. Municipal networks: water distribution, district heating, sewage networks etc. operate under harsh environmental conditions, however, being a part of the Critical Infrastructure they have to meet reliability and safety requirements. Their maintenance municipal networks depend on the data collected on their status, and the decisions on due corrective actions. Condition Based Maintenance (CBM) or Proactive Maintenance (PM), rather than scheduling maintenance actions, which are based on operating hours and servicing volume, promises to be more reliable and even more effective. Thus, PM requires the effective combination of data collection, analysis, presentation and decision making processes. The modular wireless sensor network based solutions was designed that incorporates selectable communication interfaces, which integrate supplementary monitoring subsystems in this line in order to have different service control and feedback control.