{"title":"Electric Power Data Acquisition System Based on Multi-thread Mechanism","authors":"Yu Peng, F. Meng, Dianhui Chu","doi":"10.1109/CyberC.2013.53","DOIUrl":null,"url":null,"abstract":"An electric power data acquisition system based on multi-thread mechanism is proposed in this paper to solve the problems of large-scale data acquisition such as low acquisition rate, server overload and poor reliability of the IP address of data nodes. Through designing a multi-thread scheduling strategy, the power data can be acquired from multiple data nodes concurrently. The reliability of the connection between the system and a data node can be assured through a monitoring thread. An experiment system of data acquisition from 100 data nodes is designed. The data acquisition rate is 1832 per minute and data update cycle is 30 seconds approximately. The results show that efficient data acquisition can be achieved in large-scale network and the electric power data can be guaranteed to be real-time. The system has met the requirements of the customer and officially run.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2013.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
An electric power data acquisition system based on multi-thread mechanism is proposed in this paper to solve the problems of large-scale data acquisition such as low acquisition rate, server overload and poor reliability of the IP address of data nodes. Through designing a multi-thread scheduling strategy, the power data can be acquired from multiple data nodes concurrently. The reliability of the connection between the system and a data node can be assured through a monitoring thread. An experiment system of data acquisition from 100 data nodes is designed. The data acquisition rate is 1832 per minute and data update cycle is 30 seconds approximately. The results show that efficient data acquisition can be achieved in large-scale network and the electric power data can be guaranteed to be real-time. The system has met the requirements of the customer and officially run.