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基于电力安全巡查典型库信息的加权余弦算法应用

Application of Weighted Cosine Algorithm Based on Typical Database Information for Power Safety Inspection

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电网公司在日常巡查过程中需要对历史巡查报告、巡查信息进行综合分析.传统的巡查报告通常依靠人工比对,效率较低且易出现误漏.文章基于加权余弦算法对文本进行加权处理,与电力安全巡查历史典型库内容形成相似度计算,快速找出同类历史典型问题.试验结果表明,该方法的相似度计算具有较高的准确性和可靠性.
In the daily inspection process,power grid companies need to comprehensively analyze historical inspection reports and inspection information.Traditional inspection reports often rely on manual comparison,which is inefficient and prone to errors and omissions.This article is based on the weighted cosine algorithm to weight the text and calculate the similarity with the content of the historical typical database of power safety inspections,quickly identifying similar historical typical problems.The experimental results show that the similarity calculation of the proposed method has high accuracy and reliability.

typical library for power safety inspectionweighted cosine algorithmtext similarity recognitionsimilarity calculation

党朝阳、冯积家、陈川刚、王汉高、陈静

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海南电网有限责任公司,海南海口 570312

智能电网与海岛微网联合实验室,海南海口 570312

海南电网有限责任公司电力科学研究院,海南海口 570312

电力安全巡查典型库 加权余弦算法 文本相似度识别 相似度计算

海南电网公司科技项目

073000KK52210001

2024

电力系统装备
《机电商报》社

电力系统装备

影响因子:0.008
ISSN:1671-8992
年,卷(期):2024.(1)
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