继电保护信息语义智能识别算法的研究与应用

为了应对当前存在于继电保护领域的语义不标准现象,设计一种继电保护信息语义智能识别算法。该智能算法基于字典管理、语义匹配、检索预处理以及检索管理4大模块。结合采集储存算法、预处理算法和文本相似度算法设计出一种智能自我学习的语义智能处理机制。该算法通过逐步提高计算机自识别率来实现对不标准继电保护语义的统计,从而丰富语义知识积累库,以便增加对不标准语义标准化的正确率。根据对不同类型不标准语义数据的测试,对得到的标准语义数据进行分析验证,证明了此继电保护信息语义智能识别算法具有准确的性能和良好的可行性。...

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Veröffentlicht in:电力系统保护与控制 Jg. 46; H. 3; S. 83 - 88
1. Verfasser: 钱海;邱金辉;张道农;姜健琳;尹浙洪;沈亚东
Format: Journal Article
Sprache:Chinesisch
Veröffentlicht: 国网辽宁省电力有限公司,辽宁 沈阳,110006%华北电力设计院有限公司,北京,100120%上海泽鑫电力科技股份有限公司,上海,201206 01.02.2018
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Abstract 为了应对当前存在于继电保护领域的语义不标准现象,设计一种继电保护信息语义智能识别算法。该智能算法基于字典管理、语义匹配、检索预处理以及检索管理4大模块。结合采集储存算法、预处理算法和文本相似度算法设计出一种智能自我学习的语义智能处理机制。该算法通过逐步提高计算机自识别率来实现对不标准继电保护语义的统计,从而丰富语义知识积累库,以便增加对不标准语义标准化的正确率。根据对不同类型不标准语义数据的测试,对得到的标准语义数据进行分析验证,证明了此继电保护信息语义智能识别算法具有准确的性能和良好的可行性。
AbstractList 为了应对当前存在于继电保护领域的语义不标准现象,设计一种继电保护信息语义智能识别算法.该智能算法基于字典管理、语义匹配、检索预处理以及检索管理4大模块.结合采集储存算法、预处理算法和文本相似度算法设计出一种智能自我学习的语义智能处理机制.该算法通过逐步提高计算机自识别率来实现对不标准继电保护语义的统计,从而丰富语义知识积累库,以便增加对不标准语义标准化的正确率.根据对不同类型不标准语义数据的测试,对得到的标准语义数据进行分析验证,证明了此继电保护信息语义智能识别算法具有准确的性能和良好的可行性.
Abstract_FL In order to deal with the semantic non-standard phenomena in the field of relay protection currently, this paper designs a kind of relay protection information semantic intelligent recognition algorithm based on four modules including dictionary management, semantic matching, retrieval pre-processing, and retrieval management. Combined acquisition and storage algorithm, pre-processing algorithm, and text similarity algorithm, an intelligent self-learning based semantic intelligent processing mechanism is designed, which realizes the semantic statistics of non-standard relay protection through gradually improving computer self-recognition rate, thereby enriching semantic knowledge accumulation and then increasing the accuracy of non-standard semantic standardization. According to the testing of different types of non-standard semantic data, the obtained standard semantic datum are analyzed and verified, which proves that the relay protection information semantic intelligent recognition algorithm has good performance and feasibility.
Author 钱海;邱金辉;张道农;姜健琳;尹浙洪;沈亚东
AuthorAffiliation 国网辽宁省电力有限公司,辽宁沈阳110006;华北电力设计院有限公司,北京100120;上海泽鑫电力科技股份有限公司,上海201206
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Author_FL QIU Jinhui
SHEN Yadong
QIAN Hai
ZHANG Daonong
JIANG Jianlin
YIN Zhehong
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DocumentTitleAlternate Research and application of semantic intelligent recognition algorithm for relay protection information
DocumentTitle_FL Research and application of semantic intelligent recognition algorithm for relay protection information
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Keywords 人工智能
文本相似度算法
relay protection system
artificial intelligence
继电保护系统
text similarity algorithm
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Notes In order to deal with the semantic non-standard phenomena in the field of relay protection currently, this paper designs a kind of relay protection information semantic intelligent recognition algorithm based on four modules including dictionary management, semantic matching, retrieval pre-processing, and retrieval management. Combined acquisition and storage algorithm, pre-processing algorithm, and text similarity algorithm, an intelligent self-learning based semantic intelligent processing mechanism is designed, which realizes the semantic statistics of non-standard relay protection through gradually improving computer self-recognition rate, thereby enriching semantic knowledge accumulation and then increasing the accuracy of non-standard semantic standardization. According to the testing of different types of non-standard semantic data, the obtained standard semantic datum are analyzed and verified, which proves that the relay protection information semantic intelligent recognition algorithm has good perfo
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PublicationTitle 电力系统保护与控制
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PublicationTitle_FL Power System Protection and Control
PublicationYear 2018
Publisher 国网辽宁省电力有限公司,辽宁 沈阳,110006%华北电力设计院有限公司,北京,100120%上海泽鑫电力科技股份有限公司,上海,201206
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Snippet 为了应对当前存在于继电保护领域的语义不标准现象,设计一种继电保护信息语义智能识别算法。该智能算法基于字典管理、语义匹配、检索预处理以及检索管理4大模块。结合采集储存...
为了应对当前存在于继电保护领域的语义不标准现象,设计一种继电保护信息语义智能识别算法.该智能算法基于字典管理、语义匹配、检索预处理以及检索管理4大模块.结合采集储存...
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SubjectTerms 人工智能
文本相似度算法
继电保护系统
Title 继电保护信息语义智能识别算法的研究与应用
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