Practical training personnel behavior management and decision-making method based on intelligent perception and Unet network

Practical training personnel behavior management and decision-making method based on intelligent perception and Unet network

The invention discloses a training personnel behavior management and decision-making method based on intelligent perception and a Unet network, and the method comprises the steps: 1, collecting the environment, equipment and personnel information of a training base through intelligent perception equ...

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Hauptverfasser: ZHANG DAN, WANG LEI, LUO JUNXIAO, WU HAIYAN, LIAO YUHAN, CHEN YING, HAN YU, MENG LEI, ZUO SONGLIN, FANG FUXIN, QIU MANMAN, LUO CHANG, DING WEIMIN, WAN LISONG, SHEN FENG, SHI WEN, ZHAO XIAOSHAN, GUO KEGUI, MA HUAN, HE QI, HU MAOLIANG, WANG FAZHI, WANG YUAN, HUO CHENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a training personnel behavior management and decision-making method based on intelligent perception and a Unet network, and the method comprises the steps: 1, collecting the environment, equipment and personnel information of a training base through intelligent perception equipment, and providing basic data support for the behavior management and decision-making of training personnel; 2, forming a training personnel behavior'equipment-action-target 'triple set according to the coexistence, transfer and exclusion relationship among the type, operation behavior and maintenance target of the field equipment; 3, constructing a training personnel behavior triple recognition model based on the Unet network, and optimizing the Unet network to obtain a training personnel behavior triple recognition result; and 4, in combination with a training personnel behavior triple recognition result, a historical training video feature analysis result and electric power personnel on-site maintenance exper