@inproceedings{14182c95e9d74b07b384f426b7716e25,
title = "Electric power data acquisition system based on multi-thread mechanism",
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.",
keywords = "Electric power data acquisition system, Monitoring thread, Multi-thread mechanism, Real-time, Scheduling startegy",
author = "Yuzhu Peng and Fanchao Meng and Dianhui Chu",
year = "2013",
doi = "10.1109/CyberC.2013.53",
language = "英语",
isbn = "9780768551067",
series = "Proceedings - 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2013",
publisher = "IEEE Computer Society",
pages = "273--276",
booktitle = "Proceedings - 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2013",
address = "美国",
note = "2013 5th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2013 ; Conference date: 10-10-2013 Through 12-10-2013",
}