Household environment evaluation and early warning system based on sequence data flow modeling prediction

The invention provides a household environment evaluation and early warning system based on sequence data flow modeling prediction. A first area and a third area in a plurality of different target areas of the home environment are connected through a second area; and the first combined sensor is arr...

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Hauptverfasser: XIE SHIFA, YANG YAPING, WANG DONG, PEI HUILI, ZHENG YANNAN, FAN CHENGXIANG, ZHANG ZHENXIANG
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creator XIE SHIFA
YANG YAPING
WANG DONG
PEI HUILI
ZHENG YANNAN
FAN CHENGXIANG
ZHANG ZHENXIANG
description The invention provides a household environment evaluation and early warning system based on sequence data flow modeling prediction. A first area and a third area in a plurality of different target areas of the home environment are connected through a second area; and the first combined sensor is arranged in the second area, the second combined sensor is arranged in the third area, and the third combined sensor is arranged in the adjacent area. The method comprises the steps of: establishing a first sequence data flow model based on first sensor data of a plurality of first time periods acquired by the first combined sensor; establishing a second sequence data flow model based on second sensor data of a plurality of second time periods acquired by the second combined sensor; and based on first sensing prediction data predicted by the first sequence data flow model and second sensing prediction data predicted by the second sequence data flow model, evaluating the home environment, wherein evaluation comprises u
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subjects CALCULATING
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Household environment evaluation and early warning system based on sequence data flow modeling prediction
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