Research on Improving the Inspection Efficiency of Substation Based on Big Data Analysis

被引：0

作者：

Zhou, Zhenzhen ^{[1
]}

Song, Yunhai ^{[1
]}

Su, Haohui ^{[1
]}

Shang, Jianing ^{[1
]}

Luo, Zhengyang ^{[1
]}

Wang, Qi ^{[1
]}

机构：

[1] China Southern Power Grid EHV Transmiss Co Mainte, Guangzhou, Peoples R China

来源：

ELECTRICA | 2023年 / 23卷 / 01期

关键词：

Big data technology; path planning; substation;

D O I：

10.54614/electrica.2022.21137

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the continuous improvement of scientific and technological level, big data analysis technology has been vigorously promoted in substations. Though the big data technology can be real-time insight into the status of substation operation and inspection, how to improve the efficiency of substation inspection is still a hot topic at present. Based on this, this article through the perspective of path planning are studied, in particular, through simulation experiment to determine transformer substation inspection robot path planning algorithm system before and after the end of the work, inspection path planning system in substations by way of test results, from the results, the substation inspection robot can better avoid obstacles and complete the final inspection work along the optimal inspection path.

引用

页码：79 / 86

页数：8

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