Design of Monitoring Platform for Communication Operation and Maintenance of Distribution Network Based on Artificial Intelligence Technology
- DOI
- 10.2991/978-94-6463-242-2_40How to use a DOI?
- Keywords
- artificial intelligence; distribution network; communication and operation & maintenance operation; monitoring platform
- Abstract
This article proposes a design of a distribution network communication and maintenance monitoring platform based on artificial intelligence technology to improve operational efficiency. The platform adopts a B/S hardware architecture, providing a stable environment for efficient hardware operations; The platform software ensures efficient transmission of data information during platform operation by designing a communication network structure; A centralized monitoring module for the distribution network was designed using the method of dynamic data association; Reasonably allocate monitoring signals based on the insertion loss of communication channels on the artificial intelligence computing platform; Deeply analyze the entity association of operation and maintenance job monitoring data, and design a communication operation and maintenance job monitoring database. Testing has proven that the designed monitoring platform has fast response speed and high accuracy of monitoring results.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jia Chen AU - Guoying Liu AU - Junhong Weng PY - 2023 DA - 2023/09/22 TI - Design of Monitoring Platform for Communication Operation and Maintenance of Distribution Network Based on Artificial Intelligence Technology BT - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) PB - Atlantis Press SP - 324 EP - 330 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-242-2_40 DO - 10.2991/978-94-6463-242-2_40 ID - Chen2023 ER -