基于无人机的 ZN 电网输电线路运营管理优化研究
作者姓名 : 卢颖鹏
导师姓名 : 马文聪
学科（专业）或领域名称: 工商管理
论 文 答 辩 年 月 年 月
: 2022 6
分类号：学校代码：11845
UDC： 密级：学号：2111908314
广东工业大学硕士学位论文
（工商管理硕士）
基于无人机的ZN 电网输电线路运营管理
优化研究
卢颖鹏
马文聪副教授
导 师 姓 名 （ 职 称 ） :
郭震峰高级经济师
学科( 专业) 或 领 域 名 称 :工商管理
学 生 所 属 学 院 :管理学院
答辩委员会主席 : 晋琳琳教授
论 文 答 辩 日 期 : 2022 年 6 月 1 日
A Dissertation Submitted to Guangdong University of Technology
for the Degree of Master
（Master of Business Administration）
Research on operation and management
optimization of transmission lines in ZN power
grid based on unmanned aerial vehicles
Candidate:Ying Peng Lu
Supervisor:Wen Cong Ma
Out-of-school Supervisor:Zhen Feng Guo
May 2022
School of Management
Guangdong University of Technology
Guangzhou, Guangdong, P. R. China, 510520
摘要
摘要
市场经济的快速发展在很大程度上推动了我国电网企业的快速发展，从目前的实
际情况来看，我国现有的技术已经无法满足于电网企业的进步与转型，因此做好新技
术的研发与推广是当下的重点工作内容，只有这样才能够促进电网企业的升级，并促
使电网企业在发展运营的过程中获得更大的经济收益。现如今,我国现如今颁布了一系
列的政策文件，旨在通过政策约束为推动数字化中国的快速建设助力，从而实现既定
的战略目标，促进我国的经济发展。ZN电网企业在发展中制定了长远的发展计划，以
我国目前的战略发展方向作为指导，积极地进行资源的整合，并且制定了有效的策略，
促进电网的数字化发展，以期快速的实现绿色电网、生态电网、安全电网的建设。与
此同时，ZN电网企业还将攻克无人机技术作为发展重点，并且提出了运用无人机进行
输电线路高效巡检的建议。
本文研究对象为 ZN 电网企业，相关的理论基础贯穿于本文研究的各个环节，例
如精益管理理论等等，主要采用了文献研究法、5W2H分析法等等科学的研究方法。
重点研究了该企业运用无人机进行输电线路巡检的现状，并根据现状分析其漏洞与不
足，再针对性地提出优化建议。ZN 电网公司目前在针对输电线路巡检管理存在的问题
如下：设备损坏频率过高、输电线路故障频发，这些问题在很大程度上不仅降低了输
电线路工作安全性，导致工作的效率直线降低，还加大了成本支出，影响电网企业收
益。此外，在对当前无人机应用及实施情况展开深度的调查分析时，发现该业务存在
有成本居高不降、工作效率普遍低下等问题，究其原因如下：技术落后、使用成本高、
尚未健全管理制度及运营制度、运营能力及素养低下等等。基于此，提出以下优化对
策：首先，健全管理制度，采取有效的措施优化管理模式，增加设备检查维护频次；
其次，组建高水平、高素养的技术研发小组，积极的推出能够满足企业发展，填补国
家无人机技术空缺的新型技术；接着，借助网络信息技术的优势，实现智能化的数据
与信息的检索；最后，构建良好的人机协同的巡检制度，实现高效率、智能化巡检。
关键词：无人机；企业运营；电网企业；输电线路
I广东工业大学硕士专业学位论文
Abstract
The rapid development of the market economy has largely promoted the rapid
development of my country;s power grid enterprises. From the current actual situation, my
country;s existing technology has been unable to meet the progress and transformation of
power grid enterprises. Promotion is the key content of the current work. Only in this way
can we promote the upgrading of power grid enterprises and enable power grid enterprises to
obtain greater economic benefits in the process of development and operation. Today, my
country has promulgated a series of policy documents, aiming to help the rapid construction
of digital China through policy constraints, so as to achieve the established strategic goals
and promote my country;s economic development. ZN power grid enterprises have
formulated a long-term development plan, guided by my country;s current strategic
development direction, actively integrated resources, and formulated effective strategies to
promote the digital development of power grids, in order to quickly realize the construction
of green power grids, ecological power grids, and safe power grids . At the same time, ZN
power grid enterprises will also focus on the development of drone technology, and propose
the use of drones for efficient inspection of transmission lines.
The research object of this paper is ZN power grid enterprises, and the relevant
theoretical basis runs through each link of this research, such as lean management theory,
etc., mainly using scientific research methods such as literature research method and 5W2H
analysis method. This paper focuses on the current situation of the company;s use of UAVs
for transmission line inspections, and analyzes its loopholes and deficiencies according to
the current situation, and then puts forward targeted optimization suggestions. ZN Power
Grid Corporation currently has the following problems in the inspection and management of
transmission lines: the frequency of equipment damage is too high, and the failure of
transmission lines occurs frequently. It also increased the cost expenditure, affecting the
income of power grid enterprises. In addition, during the in-depth investigation and analysis
of the current application and implementation of UAVs, it was found that there are problems
such as high costs and low work efficiency in this business. The reasons are as follows:
backward technology, high use costs, and not yet perfect Management system and operation
system, operation ability and quality are low, etc. Based on this, the following optimization
countermeasures are proposed: first, improve the management system, take effective
measures to optimize the management mode, and increase the frequency of equipment
inspection and maintenance; second, establish a high-level, high-quality R&D team, and
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