Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on Monitoring System of Intelligent Digital Substation

WANG Dan, GAO Zhiliang, LIN Dongyue

(Shenzhen Micro and Nano Perception Computing Technology Co., Ltd., Shenzhen 518100, China)

Section：Computer Technology · Vol. 2025, Issue 6 · Pages：14-19 · 2096-4706（2025）06-0014-06 · CLC number：TP39；TM76 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2025.06.004

Abstract

This paper proposes an intelligent digital substation monitoring system solution for the problems of insufficient functions and lack of coordination ability of the traditional substation monitoring system. The system is responsible for equipment monitoring, safety and defense, fire protection, intelligent inspection and other tasks, and uses digital remote transmission, intelligent perception, and intelligent image analysis technology to cover the monitoring and monitoring front-end equipment in an all-round way throughout the substations. It sends the remote transmission information to the centralized control terminal, and realizes comprehensive monitoring, perception and inspection of substations. It integrates the configuration in the traditional substation auxiliary control system, and adds functions such as real-time monitoring and intelligent monitoring of secondary devices at the same time, laying a technical accumulation for the application of a new generation of digital intelligent substation control and monitoring system.

Keywords

digital substation; monitoring system; intelligence

References

  1. [1] NAVARRO-ORTIZ J，ROMERO-DIAZ P，SENDRA S，et al. A Survey on 5G Usage Scenarios and Traffic Models [J].IEEE Communications Surveys & Tutorials，2020，22（2）：905-929.
  2. [2] FETTWEIS G P. The Tactile Internet: Applications and Challenges [J].IEEE Vehicular Technology Magazine，2014，9（1）：64-70.
  3. [3] Liang Jiansheng, Chen Xiaodong Research on Key Technologies of URLLC and Analysis of Air Interface Delay [J]. Mobile Communications, 2020, 44 (2): 35-39+44
  4. [4] Qian Xiaokang, Wang Yingjue, Wu Wanhong. Challenges brought by 5G dense networking to site planning [J]. Telecommunications Technology, 2017 (8): 31-33
  5. [5] Han Yunan, Tang Yanchao, Li Fuchang Research on Key Technologies and Networking Strategies of Heterogeneous Networks [J]. Postal and Telecommunications Design Technology, 2013 (8): 5-9
  6. [6] SCHULZ P，MATTHE M，KLESSIG H，et al. Latency Critical IoT Applications in 5G: Perspective on the Design of Radio Interface and Network Architecture [J].IEEE Communications Magazine，2017，55（2）：70-78.
  7. [7] DUAN Q，ANSARI N，TOY M. Software-defined Network Virtualization: An Architectural Framework for Integrating SDN and NFV for Service Provisioning in Future Networks [J].IEEE Network，2016，30（5）：10-16.
  8. [8] Gao Yuehong, Li Lan, Zhang Xin, etc Analysis and Research on Probability Delay Constraints and Resource Reservation of URLLC Business [J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41 (5): 98-102
  9. [9] ANAND A，DE VECIANA G，SHAKKOTTAI S. Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks [J].IEEE/ACM Transactions on Networking，2020，28（2）：477-490.
  10. [10] GANESAN K，SONI T，NUNNA S，et al. Poster: A TDM Approach for Latency Reduction of Ultra-Reliable Low-Latency Data in 5G [C]//2016 IEEE Vehicular Networking Conference. Columbus：IEEE，2016：1-2.
  11. [11] LIAO Q，BARACCA P，LOPEZ-PEREZ D，et al. Resource Scheduling for Mixed TRaffic Types with Scalable TTI in Dynamic TDD Systems [C]//2016 IEEE Globecom Workshops.Washington，DC：IEEE，2016：1-7.
  12. [12] AAZAM M，HARRAS K A，ZEADALLY S. Fog Computing for 5G Tactile Industrial Internet of Things：QoE-Aware Resource Allocation Model [J].IEEE Transactions on Industrial Informatics，2019，15（5）：3085-3092.
  13. [13] XIE Y C，REN P Y，WANG Y C，et al. Power Consumption-Oriented Resource Allocation Strategy for Ultra-Reliable Low-Latency Communication [C]//2019 IEEE Wireless Communications and Networking Conference. Marrakesh：IEEE，2019：1-6.
  14. [14] KASSAB R，SIMEONE O，POPOVSKI P. Coexistence of URLLC and eMBB Services in the C-RAN Uplink：An Information-Theoretic Study [C]//2018 IEEE Global Communications Conference.Abu Dhabi：IEEE，2018：1-6.
  15. [15] CHEN Y J，CHENG L Y，WANG L C. Prioritized Resource Reservation for Reducing Random Access Delay in 5G URLLC [C]//2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications.Montreal：IEEE，2017：1-5.
  16. [16] SOLDANI D，GUO Y J，BARANI B，et al. 5G for Ultra-Reliable Low-Latency Communications [J].IEEE Network，2018，32（2）：6-7.

Funding

中国南方电网有限责任公司创新项目（CGYKJXM20220117）

About the authors

Wang Dan (July 1985-), female, Han ethnicity, born in Shenzhen, Guangdong, holds a master's degree in sound perception and artificial intelligence.