Client exception identification method, system, equipment and medium
The invention discloses a client abnormity identification method, system and device and a medium, and the method comprises the steps: obtaining a plurality of current data of at least one client terminal in a first preset time period, and determining a current unbalance rate according to the current...
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| creator | TANG PENG LIN YONGJIE DENG FANG YU YONGKUI LIU JIAQI JIAO HAIFENG ZHU QIAOTING CHEN SHANSHAN TAN QIQIAN LIANG JUNTAO |
| description | The invention discloses a client abnormity identification method, system and device and a medium, and the method comprises the steps: obtaining a plurality of current data of at least one client terminal in a first preset time period, and determining a current unbalance rate according to the current extreme value of the current data in the first preset time period. And extracting a plurality of historical current data in a second preset time period from the client terminal of which the current imbalance rate meets the first preset abnormal standard, and determining a corresponding current variation according to the historical current data and the current extreme value. And comparing the current variable quantity with a second preset abnormal standard, and determining the client terminal with the special transformer current abnormity according to a comparison result. Through the first preset abnormal standard, the current unbalance rate, the current variation and the second preset abnormal standard, the curren |
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And extracting a plurality of historical current data in a second preset time period from the client terminal of which the current imbalance rate meets the first preset abnormal standard, and determining a corresponding current variation according to the historical current data and the current extreme value. And comparing the current variable quantity with a second preset abnormal standard, and determining the client terminal with the special transformer current abnormity according to a comparison result. 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And extracting a plurality of historical current data in a second preset time period from the client terminal of which the current imbalance rate meets the first preset abnormal standard, and determining a corresponding current variation according to the historical current data and the current extreme value. And comparing the current variable quantity with a second preset abnormal standard, and determining the client terminal with the special transformer current abnormity according to a comparison result. 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And extracting a plurality of historical current data in a second preset time period from the client terminal of which the current imbalance rate meets the first preset abnormal standard, and determining a corresponding current variation according to the historical current data and the current extreme value. And comparing the current variable quantity with a second preset abnormal standard, and determining the client terminal with the special transformer current abnormity according to a comparison result. Through the first preset abnormal standard, the current unbalance rate, the current variation and the second preset abnormal standard, the curren</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS TESTING |
| title | Client exception identification method, system, equipment and medium |
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