An Intelligent Field Operation and Maintenance Method for Distribution and Utilization Terminals Based on Near-Field Sensing

doi:10.11959/j.issn.1000-0801.DXKX260081

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An Intelligent Field Operation and Maintenance Method for Distribution and Utilization Terminals Based on Near-Field Sensing

更新时间：2026-06-24

- An Intelligent Field Operation and Maintenance Method for Distribution and Utilization Terminals Based on Near-Field Sensing
- Telecommunications Science (2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX260081
  CLC： TP393
- Received：30 January 2026，
  
  Revised：2026-03-07，
  
  Accepted：18 May 2026，
- 稿件说明：
移动端阅览
An Intelligent Field Operation and Maintenance Method for Distribution and Utilization Terminals Based on Near-Field Sensing[J/OL]. Telecommunications Science, 2026.
DOI：

An Intelligent Field Operation and Maintenance Method for Distribution and Utilization Terminals Based on Near-Field Sensing[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260081.

摘要

在配电与计量现场作业中，传统依赖人工识别和记录信息的方式效率较低、容易出错，难以满足大规模终端精益化运维的需求。本文提出一种基于近场感知的智能化现场运维方法。研究利用蓝牙、扫码等近距离通信技术实现终端自动识别，同时在移动端集成设备重启、校时、进程检测、连接点切换等运维工具，构建便携化、可视化的现场运维体系。进一步设计近场容器管理机制及SIM卡信息识别方法，以提升现场作业的准确性与闭环能力。实际部署结果显示，该方法可将设备识别与建档时间缩短约60%，现场工单处理效率提升约35%，有效降低运维对人工经验的依赖，促进配用电终端现场运维的智能化提升。该方法在实现层面涵盖终端识别、工单关联、异常处置及分级改造等关键环节，并从工程应用角度分析了其成本收益、应用价值、研究局限与后续研究方向。

Abstract

In distribution and metering field operations

traditional operation and maintenance approaches that rely on manual device identification and information recording suffer from low efficiency and high error rates

making them inadequate for large-scale and refined management of power distribution and utilization terminals. To address these issues

this paper proposes an intelligent field operation and maintenance method for distribution and utilization terminals based on near-field sensing. Bluetooth broadcasting and QR code scanning are employed to achieve automatic terminal identification

while essential operation tools

including device rebooting

time synchronization

process detection

and access point switching

are integrated into mobile terminals to establish a portable and visualized field operation framework. Furthermore

a near-field container management mechanism and SIM card information identification method are designed to unify terminal identification

work order association

and operation execution

thereby improving operational accuracy and closed-loop capability. Field deployment and experimental results demonstrate that the proposed method can reduce device identification and registration time by approximately 60% and improve on-site work order processing efficiency by about 35%

effectively reducing reliance on manual experience and enhancing the intelligence level of field operation and maintenance for distribution and utilization terminals.This method addresses key aspects such as target identification

work order association

anomaly resolution

and hierarchical transformation at the implementation level. Furthermore

it analyzes the cost-benefit analysis

application value

and future research directions from an engineering application perspective.

关键词

Keywords

references

屈径 , 刘文泽 , 蔡泽祥 , 等 . 配电物联网云边协同系统计算资源双目标优化配置方法 [J ] . 电力自动化设备 , 2024 ( 05 ): 112 – 119 .

Qu Jing , Liu Wenze , Cai Zexiang , et al . Bi-objective optimal configuration of computing resources for cloud–edge collaborative distribution IoT systems [J ] . Electric Power Automation Equipment , 2024 ( 05 ): 112 – 119 .

岑伯维 , 胡春潮 , 蔡泽祥 , 等 . 配电物联网台区边缘计算终端微服务文件锁数据同步机制 [J ] . 电力系统自动化 , 2022 , 46 ( 13 ) : 195 - 203 .

Cen Baowei , Hu Chunchao , Cai Zexiang , et al . Microservice File Lock Data Synchronization Mechanism for Distribution Internet of Things Substation Edge Computing Terminal [J ] . Automation of Electric Power Systems , 2022 , 46 ( 13 ): 195 - 203 .

刘嘉宁 , 苏卓 , 王可 , 等 . 配电物联网自动化业务云边协同资源弹性配置方法 [J ] . 电力建设 , 2023 , 44 ( 08 ) : 118 - 127 .

Liu Jianning , Su Zhuo , Wang Ke , et al . Method for Elastic Configuration of Cloud-Edge Collaborative Resources in Distribution Internet of Things Automation Services [J ] . Electric Power Construction , 2023 , 44 ( 08 ): 118 - 127 .

陈永祺 , 孔丽媛 . 基于边缘计算的配电自动化终端智能感知系统设计 [J ] . 办公自动化 , 2025 ( 16 ): 24 - 26 .

Chen Yongqi , Kong Liyuan . Design of an intelligent sensing system for distribution automation terminals based on edge computing [J ] . Office Automation , 2025 ( 16 ): 24 – 26 .

Al-Fuqaha A , Guizani M , Mohammadi M , et al . Internet of Things: A survey on enabling technologies, protocols, and applications [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 1 ): 234 – 267 .

郭志华 , 薛晓慧 , 厉娜 , 等 . 配用电无线通信专网在复杂地理环境下的应用研究 [J ] . 电信科学 , 2015 , 31 ( 5 ): 165 – 172 .

Guo Zhihua , Xue Xiaohui , Li Na , et al . Application research on wireless communication private networks for power distribution and utilization in complex geographical environments [J ] . Telecommunications Science , 2015 , 31 ( 5 ): 165 – 172 .

孟玲莉 , 陈宁宁 , 王江 , 等 . 基于改进TOPSIS的配用电通信网性能评估方法 [J ] . 电信科学 , 2014 , 30 ( 4 ): 167 – 172 .

Meng Lingli , Chen Ningning , Wang Jiang , et al . Performance evaluation method for power distribution and utilization communication networks based on improved TOPSIS [J ] . Telecommunications Science , 2014 , 30 ( 4 ): 167 – 172 .

谢金凤 , 严涵琦 , 邓炳光 , 等 . 物联网终端评测体系发展研究 [J ] . 电信科学 , 2021 , 37 ( 2 ): 63 – 70 .

Xie Jinfeng , Yan Hanqi , Deng Bingguang , et al . Development of an evaluation system for Internet of Things terminals [J ] . Telecommunications Science , 2021 , 37 ( 2 ): 63 – 70 .

蒋海明 , 夏丹妮 , 刘媛 , 等 . 基于物联网技术的电力通信接入网的移动运维系统 [J ] . 电信科学 , 2018 , 34 ( 10 ): 170 – 180 .

Jiang Haiming , Xia Danni , Liu Yuan , et al . Mobile operation and maintenance system for power communication access networks based on IoT technology [J ] . Telecommunications Science , 2018 , 34 ( 10 ): 170 – 180 .

薛龙 , 陆钢 , 周奇 , 等 . 面向云原生的智能运维架构和关键技术 [J ] . 电信科学 , 2020 , 36 ( 12 ): 105 – 112 .

Xue Long , Lu Gang , Zhou Qi , et al . Cloud-native intelligent operation and maintenance architecture and key technologies [J ] . Telecommunications Science , 2020 , 36 ( 12 ): 105 – 112 .

Mijumbi R , Serrat J , Gorricho J L , et al . Network function virtualization: State-of-the-art and research challenges [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 1 ): 443 – 474 .

Satyanarayanan M . The emergence of edge computing [J ] . Computer , 2022 , 55 ( 1 ): 30 – 39 .

Mouradian C , Naboulsi D , Yang R , et al . A comprehensive survey on fog computing: State-of-the-art and research challenges [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 1 ): 1 – 32 .

Pahl C , Jamshidi P . Microservices: A systematic mapping study [J ] . Journal of Systems and Software , 2022 , 179 : 111005 .

Alsaffar A A , Rashid M , El-Maleh A , et al . BLE-based indoor localization and asset tracking: A survey on advancements, challenges and applications [J ] . IEEE Access , 2023 , 11 : 4 6691– 46715 .

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