Load characteristic analysis system and method based on neural network
The invention discloses a load characteristic analysis system and method based on a neural network, and relates to the technical field of power system analysis. The system comprises an analog collection sensor, a signal conditioning circuit, an A/D conversion board card, an FPGA unit, a DSP calculat...
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| creator | HUA SHUBEI GAO YANG CUI SHENGSHENG SUN JIANFENG BAO JIHUA MA BIN YANG YAN LI YAN LI XI LIU YUCHAO WANG YIHUI LONG CUNYU |
| description | The invention discloses a load characteristic analysis system and method based on a neural network, and relates to the technical field of power system analysis. The system comprises an analog collection sensor, a signal conditioning circuit, an A/D conversion board card, an FPGA unit, a DSP calculation unit, and a load characteristic data output display unit. The analog collection sensor is connected with the signal conditioning circuit, the signal conditioning circuit is connected with the A/D conversion board card, the A/D conversion board card is connected with the FPGA unit, the FPGA unit is connected with the DSP calculation unit, and the DSP calculation unit is connected with the load characteristic data output display unit. The invention has the advantages that on-site collection and analysis of on-site load characteristic data can be achieved, and engineering technicians can conveniently judge on-site carrier communication influence factors.
一种基于神经网络的负荷特征分析系统及方法，涉及电力系统分析技术领域，包括模拟采集传感器、信号调理电路、A/D转换板卡、F |
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一种基于神经网络的负荷特征分析系统及方法，涉及电力系统分析技术领域，包括模拟采集传感器、信号调理电路、A/D转换板卡、F</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211022&DB=EPODOC&CC=CN&NR=113537320A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211022&DB=EPODOC&CC=CN&NR=113537320A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUA SHUBEI</creatorcontrib><creatorcontrib>GAO YANG</creatorcontrib><creatorcontrib>CUI SHENGSHENG</creatorcontrib><creatorcontrib>SUN JIANFENG</creatorcontrib><creatorcontrib>BAO JIHUA</creatorcontrib><creatorcontrib>MA BIN</creatorcontrib><creatorcontrib>YANG YAN</creatorcontrib><creatorcontrib>LI YAN</creatorcontrib><creatorcontrib>LI XI</creatorcontrib><creatorcontrib>LIU YUCHAO</creatorcontrib><creatorcontrib>WANG YIHUI</creatorcontrib><creatorcontrib>LONG CUNYU</creatorcontrib><title>Load characteristic analysis system and method based on neural network</title><description>The invention discloses a load characteristic analysis system and method based on a neural network, and relates to the technical field of power system analysis. The system comprises an analog collection sensor, a signal conditioning circuit, an A/D conversion board card, an FPGA unit, a DSP calculation unit, and a load characteristic data output display unit. The analog collection sensor is connected with the signal conditioning circuit, the signal conditioning circuit is connected with the A/D conversion board card, the A/D conversion board card is connected with the FPGA unit, the FPGA unit is connected with the DSP calculation unit, and the DSP calculation unit is connected with the load characteristic data output display unit. The invention has the advantages that on-site collection and analysis of on-site load characteristic data can be achieved, and engineering technicians can conveniently judge on-site carrier communication influence factors.
一种基于神经网络的负荷特征分析系统及方法，涉及电力系统分析技术领域，包括模拟采集传感器、信号调理电路、A/D转换板卡、F</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDzyU9MUUjOSCxKTC5JLcosLslMVkjMS8ypLM4sViiuLC5JzQXyUxRyU0sy8lMUkhKLU1MU8vMU8lJLixJzgFRJeX5RNg8Da1piTnEqL5TmZlB0cw1x9tBNLciPTy0uSExOBaqMd_YzNDQ2NTY3NjJwNCZGDQBE2DOy</recordid><startdate>20211022</startdate><enddate>20211022</enddate><creator>HUA SHUBEI</creator><creator>GAO YANG</creator><creator>CUI SHENGSHENG</creator><creator>SUN JIANFENG</creator><creator>BAO JIHUA</creator><creator>MA BIN</creator><creator>YANG YAN</creator><creator>LI YAN</creator><creator>LI XI</creator><creator>LIU YUCHAO</creator><creator>WANG YIHUI</creator><creator>LONG CUNYU</creator><scope>EVB</scope></search><sort><creationdate>20211022</creationdate><title>Load characteristic analysis system and method based on neural network</title><author>HUA SHUBEI ; GAO YANG ; CUI SHENGSHENG ; SUN JIANFENG ; BAO JIHUA ; MA BIN ; YANG YAN ; LI YAN ; LI XI ; LIU YUCHAO ; WANG YIHUI ; LONG CUNYU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113537320A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>HUA SHUBEI</creatorcontrib><creatorcontrib>GAO YANG</creatorcontrib><creatorcontrib>CUI SHENGSHENG</creatorcontrib><creatorcontrib>SUN JIANFENG</creatorcontrib><creatorcontrib>BAO JIHUA</creatorcontrib><creatorcontrib>MA BIN</creatorcontrib><creatorcontrib>YANG YAN</creatorcontrib><creatorcontrib>LI YAN</creatorcontrib><creatorcontrib>LI XI</creatorcontrib><creatorcontrib>LIU YUCHAO</creatorcontrib><creatorcontrib>WANG YIHUI</creatorcontrib><creatorcontrib>LONG CUNYU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUA SHUBEI</au><au>GAO YANG</au><au>CUI SHENGSHENG</au><au>SUN JIANFENG</au><au>BAO JIHUA</au><au>MA BIN</au><au>YANG YAN</au><au>LI YAN</au><au>LI XI</au><au>LIU YUCHAO</au><au>WANG YIHUI</au><au>LONG CUNYU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Load characteristic analysis system and method based on neural network</title><date>2021-10-22</date><risdate>2021</risdate><abstract>The invention discloses a load characteristic analysis system and method based on a neural network, and relates to the technical field of power system analysis. The system comprises an analog collection sensor, a signal conditioning circuit, an A/D conversion board card, an FPGA unit, a DSP calculation unit, and a load characteristic data output display unit. The analog collection sensor is connected with the signal conditioning circuit, the signal conditioning circuit is connected with the A/D conversion board card, the A/D conversion board card is connected with the FPGA unit, the FPGA unit is connected with the DSP calculation unit, and the DSP calculation unit is connected with the load characteristic data output display unit. The invention has the advantages that on-site collection and analysis of on-site load characteristic data can be achieved, and engineering technicians can conveniently judge on-site carrier communication influence factors.
一种基于神经网络的负荷特征分析系统及方法，涉及电力系统分析技术领域，包括模拟采集传感器、信号调理电路、A/D转换板卡、F</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Load characteristic analysis system and method based on neural network |
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