Substation equipment exception and accident processing method

The invention discloses a substation equipment exception and accident processing method, which comprises the steps: constructing a database based on exception and accident information and processing specifications of substation field equipment; constructing an information processing model based on m...

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Bibliographische Detailangaben
Hauptverfasser:	PI DINGGUI, SHEN GUOHUA, ZHANG HONGJUN, YE LUYAN, DU JUAN, SONG XIJING, HAO LIPING, YANG FANGLIN, ZHU PING, QU YANGQUAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:	The invention discloses a substation equipment exception and accident processing method, which comprises the steps: constructing a database based on exception and accident information and processing specifications of substation field equipment; constructing an information processing model based on machine learning, and using the model to associate and classify the equipment fault information and processing specifications of the database; transmitting the associated and classified information and processing specifications to the database in combination with a Bluetooth protocol converter; and when the transformer substation equipment is abnormal, enabling the operation and maintenance personnel to retrieve the database by using a mobile terminal to obtain the matched corresponding processing specifications, thereby completing analysis and inspection processing of the equipment abnormality and accidents. Classification and association of data are accelerated through machine learning, sources of equipment except