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ELEVATOR FAILURE PREDICTION SYSTEM BASED ON BIG DATA AND ARTIFICIAL INTELLIGENCE LEARNING
ELEVATOR FAILURE PREDICTION SYSTEM BASED ON BIG DATA AND ARTIFICIAL INTELLIGENCE LEARNING
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机译：基于大数据和人工智能学习的电梯故障预测系统
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摘要
The present invention is to provide an elevator failure prediction system based on big data and artificial intelligence learning, which uses big data and an artificial intelligence learning technique to improve a maintenance environment of an elevator and predict a failure, to collect and accumulate operation information of the elevator in real time, analyzes and learns the operation information and identifies potential sites to have an elevator failure in advance to anticipate and prepare for potential failures in advance. To achieve this, in accordance with the present invention, the elevator failure prediction system based on big data and artificial intelligence learning comprises: a big data collecting and sorting subsystem for collecting and accumulating unstructured data including user distribution for each floor, average number of passengers, and individual elevator accessibility compared to entrance, together with structured data including an operating time and an operating distance generated in each elevator site; an artificial neural network learning subsystem for receiving the structured and unstructured big data accumulated based on a site where a failure has occurred from the big data collecting and sorting system and repeatedly learning the big data, and then deducting and storing a failure pattern based on the learned big data; and a failure pattern-based failure predicting subsystem for comparing and analyzing the failure pattern extracted from the neural network learning subsystem and the big data accumulated in real time in the big data collecting and sorting subsystem and identifying an elevator site which is operated in accordance with the failure pattern or in a similar manner to predict a potential failure in advance and preannounce the information.;COPYRIGHT KIPO 2017
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