G. Smeu, C. Ghita, A. Chirilă, D. Deaconu, V. Năvrăpescu
{"title":"COMPOSITION OF A DRINKING WATER PUMP GROUP PREPARED FOR IOT TECHNOLOGY","authors":"G. Smeu, C. Ghita, A. Chirilă, D. Deaconu, V. Năvrăpescu","doi":"10.36801/apme.2021.1.14","DOIUrl":null,"url":null,"abstract":"Technological developments in the field of sensors, transducers and data transmission lead to the development of industrial automation. In the field of drinking water distribution networks, this evolution brings a significant value contribution, in the form of savings at the time of implementation, as well as savings in operation. The paper seeks to highlight a method of sizing a pump set prepared for IoT (Internet of Things) technology. In essence, this form of pump group eliminates the need to implement industrial automation for group management and operation. The whole working logic is based on artificial intelligence and the statistics of the data accumulated by the network interconnected by intelligent sensors.","PeriodicalId":185216,"journal":{"name":"ACTUALITĂŢI ŞI PERSPECTIVE ÎN DOMENIUL MAŞINILOR ELECTRICE (ELECTRIC MACHINES, MATERIALS AND DRIVES - PRESENT AND TRENDS)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACTUALITĂŢI ŞI PERSPECTIVE ÎN DOMENIUL MAŞINILOR ELECTRICE (ELECTRIC MACHINES, MATERIALS AND DRIVES - PRESENT AND TRENDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36801/apme.2021.1.14","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
Technological developments in the field of sensors, transducers and data transmission lead to the development of industrial automation. In the field of drinking water distribution networks, this evolution brings a significant value contribution, in the form of savings at the time of implementation, as well as savings in operation. The paper seeks to highlight a method of sizing a pump set prepared for IoT (Internet of Things) technology. In essence, this form of pump group eliminates the need to implement industrial automation for group management and operation. The whole working logic is based on artificial intelligence and the statistics of the data accumulated by the network interconnected by intelligent sensors.