Granary risk event intelligent early warning and processing method based on ensemble learning and time sequence diagram neural network

The invention relates to a granary risk event intelligent early warning and processing method based on ensemble learning and a time sequence diagram neural network, and the method comprises the steps: S1, collecting granary risk events and processing scheme related data, and constructing a granary s...

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Hauptverfasser: ZHANG QINGCHUAN, ZUO MIN, WANG SENTIAN, KONG JIANLEI
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creator ZHANG QINGCHUAN
ZUO MIN
WANG SENTIAN
KONG JIANLEI
description The invention relates to a granary risk event intelligent early warning and processing method based on ensemble learning and a time sequence diagram neural network, and the method comprises the steps: S1, collecting granary risk events and processing scheme related data, and constructing a granary safety domain knowledge graph; s2, predicting granary sensor data in a certain period of time in the future based on a multi-model fusion Stacking ensemble learning method; s3, predicting the probability of occurrence of potential risk events of the granary in a certain period of time in the future based on a sensor perception prediction framework of sparse attention of the time sequence dynamic network; and S4, providing a granary risk event intelligent early warning and processing method in combination with the occurrence probability of the potential risk event and the knowledge graph. According to the method provided by the invention, the safety state of the granary can be comprehensively and accurately predicted
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subjects 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
title Granary risk event intelligent early warning and processing method based on ensemble learning and time sequence diagram neural network
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