基于人工智能语义识别的新型配电网规划分析

He Liao, Jing Yang, Hao Li, J. Tuo, Yarong Ma, Yuxin Feng, Changshun Fei
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引用次数: 0

摘要

利用人工智能语义提取和知识计算创建专业知识库,涵盖专业领域标准、关键指标、评价经验,形成知识图谱并存储在图形数据库中,形成的专业关键知识库可作为专业应用的标准库和算法库。本文从电网领域的可行性研究文档中提取知识,形成电网可行性研究评审要点知识库:利用人工智能OCR识别技术对可行性研究文档中的有用信息进行结构化,利用人工智能NLP组件对信息进行知识提取,利用人工智能知识图谱对知识进行存储。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of New Distribution Network Planning Using Artificial Intelligence Semantic Recognition
Use artificial intelligence semantic extraction and knowledge calculation to create professional knowledge base, covering professional field standards, key indicators, and evaluation experience, and form a knowledge map and store it in the graph database, and the formed professional key knowledge base can be used as a standard library and algorithm library for professional applications. This paper extracts knowledge from the feasibility study documents in the power grid field to form a knowledge base of key points for grid feasibility study review: Use artificial intelligence OCR recognition technology to structure useful information from feasibility study documents, use artificial intelligence NLP components to extract knowledge from information, and use artificial intelligence knowledge graphs to store knowledge.
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