[1]邵校嘉,周义聪,向绍忠,等.基于数智驱动技术的主网设备生产监控指挥机器人[J].机械与电子,2025,(08):54-60.
　SHAO Xiaojia,ZHOU Yicong,XIANG Shaozhong,et al.Intelligent Command Robot for Production Monitoring of Main Grid Equipment Based on Smart Driving Technology[J].Machinery & Electronics,2025,(08):54-60.
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基于数智驱动技术的主网设备生产监控指挥机器人()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年08期
页码:
54-60
栏目:
智能制造
出版日期:
2025-08-25

文章信息/Info

Title:
Intelligent Command Robot for Production Monitoring of Main Grid Equipment Based on Smart Driving Technology
文章编号:
1001-2257 ( 2025 ) 08-0054-07
作者:
邵校嘉 1 ; 周义聪 2 ; 向绍忠 2 ; 余胤膛 2
1. 广东电网有限责任公司佛山供电局,广东 佛山 528000 ;
2. 东方电子股份有限公司,山东 烟台 264000
Author(s):
SHAO Xiaojia1 ;  ZHOU Yicong2 ;  XIANG Shaozhong2 ;  YU Yintang2
( 1.Foshan Power Supply Bureau , Guangdong Power Grid Co. , Ltd. , Foshan 528000 , China ;
2.Dongfang Electronics Co. , Ltd. , Yantai 264000 , China )
关键词:
数智驱动; 主网设备; 生产监控; 指挥机器人
Keywords:
smart driving ;  main grid equipment ;  production monitoring; command robot
分类号:
TP242 ;TM76
文献标志码:
A
摘要:
为解决主网设备生产监控管理效率低的问题,提出了基于数智驱控技术的主网设备生产监控指挥机器人。分析了主网设备生产监控需求和应用场景,包括设备跳闸、施工干扰和自然灾害。论述了数智驱动关键技术以及智能运维策略和防灾减灾策略。设计了生产监控机器人,提出了技术框架、分析了机器人功能模型,论述了系统集成与实现方案。最后针对所提系统进行应用分析,选取主网设备跳闸监控、施工机械干扰检测和自然灾害预测 3 个场景进行论证,说明了所提出机器人的有效性。
Abstract:
To address the inefficiency in the production monitoring management of main grid equipment , an intelligent command robot for production monitoring based on smart driving technology is proposed.The production monitoring requirements and application scenarios of main grid equipment , including equipment tripping , construction interference , and natural disasters , are analyzed.The key technologies of smart driving , as well as intelligent operation and maintenance strategies and disaster prevention and mitigation strategies , are discussed.The design of the production monitoring robot is presented , including the technical framework , analysis of the robot ’ s functional model , and discussion of system integration and implementation solutions.Finally , an application analysis of the proposed system is conducted , demonstrating the effectiveness of the robot by examining three scenarios : main grid equipment tripping monitoring , construction machinery interference detection and natural disaster prediction.

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备注/Memo

备注/Memo:
收稿日期: 2024-09-02
基金项目:中国南方电网有限责任公司科技项目( 0306002024030103SJ00002 )
作者简介:邵校嘉 ( 1989- ),男,广东佛山人,硕士,工程师,研究方向为数字电网智能技术。
更新日期/Last Update: 2025-09-05