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Volume 40 Issue 1
Mar.  2022
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2022  >  40(1): 184-189
Zhang Chengzhong, Ma Wenjing, Li Yong, Han Deming, Dai Zhiguang, Li Wentao, Han Jing. ANALYSIS OF CARBON COMPONENTS IN PM2. 5 DURING LATE SUMMER AND EARLY AUTUMN OF XI’AN CITY[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(5): 95-99. doi: 10.13205/j.hjgc.201505020
Citation: HAN Li, ZHANG Qingxia, WANG Jie, QIAN Yong, FANG Jizhong, WU Yang, MA Rui, PAN Jie, MA Li. DESIGN AND DEVELOPMENT OF TRANSFORMER NOISE ONLINE MONITORING SYSTEM BASED ON 5G NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 184-189. doi: 10.13205/j.hjgc.202201027
shu

DESIGN AND DEVELOPMENT OF TRANSFORMER NOISE ONLINE MONITORING SYSTEM BASED ON 5G NETWORK

doi: 10.13205/j.hjgc.202201027

  • 1. Electric Power Research Institute of State Grid Ningxia Electric Power Company, Yinchuan 750002, China;

  • 2. State Grid Ningxia Electric Power Company, Yinchuan 750002, China

  • Received Date: 2021-04-15
    Available Online: 2022-03-30
  • Publish Date: 2022-03-30
    Abstract
  • The operation performance of transformer directly affects the safe and stable operation of power system. Noise is an important parameter to reflect operation condition of the transformer, so its monitoring was particularly important. In this study, a noise online monitoring system was designed and developed based on 5 G network and consisted of noise acquisition, central management and network transmission. The system interface displayed the noise area and the noise change of the substation in real time through noise monitoring map in geographic information system(GIS), and judged the operation condition of the transformer. Timely process and statistical analysis were carried out according to alarm information when noise was abnormal. The results showed that a resolution of 0.1 dB was achieved in the measurement range of 20~130 dB(A). The highest data transmission rate was 10 Gb/s using 5 G network. When fast Fourier transform(FFT) signal processing was used in the system, the test efficiency increased by 1 time and noise data collection rate was more than 95%. The noise monitoring system had high precision, and flexible and convenient operation, and could realize online real-time monitoring with wide application prospect.
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