Open AccessResearch on Real-time Data Acquisition Technology Based on Distribution Automation Technology
Author(s) -
Lü Xin,
Yu Gu,
Changqing Liu,
Qiangbin Ye,
Kuiyin Chen
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042006
Subject(s) - computer science , automation , data collection , data acquisition , real time computing , network topology , data mining , engineering , computer network , mechanical engineering , statistics , mathematics , operating system
The remote terminal equipment data collection system of distribution automation plays a decisive role in the monitoring of distribution networks. The thesis studies the key technologies of distribution network operation and real-time data collection of topology data, analyses various new technologies of ICT, designs the basic technical architecture of real-time data collection, and realizes the automatic connection of various professional data of distribution networks such as equipment, marketing, and scheduling. Into a unified distribution network database that integrates various disciplines, multiple themes, and multiple applications, comprehensively improves the quality of distribution network data, and provides a basis for distribution network diagnosis and big data analysis. At the same time, the paper performs software filtering on the data and uses fast Fourier transform to improve real-time performance. Using a signal generator and a high-precision switching power supply as the signal input, the frequency test, voltage accuracy test and fast Fourier transform experiment were conducted respectively. The experimental results show that the simplified terminal data collection system has higher accuracy and stability.