Elevator adjustment and control method and system based on deep learning

Abstract

The invention discloses an elevator adjustment and control method and system based on deep learning. The method comprises the following steps that S1, real-time video collection is performed inside alift car of an elevator, and collected real-time videos are generated into multiple images taking the predetermined time period as the dividing unit; S2, normalization processing is performed on the multiple images; and S3, partitioning recognition is performed on objects inside the lift car of the elevator through the images after the normalization processing, the space proportion inside the liftcar of the elevator is judged, and when the elevator receives parking requests, whether to park or not is judged according to the space proportion. The system is that the videos collected by an imagecollection device are sent to an intelligent processor, the intelligent processor judges the space proportion inside the lift car of the elevator according to the received videos and sends the resultto an elevator controller, and the elevator controller judges whether to park or not according to the space proportion when receiving the parking requests of elevator parking request buttons. By means of the elevator adjustment and control method and system based on the deep learning, the time for taking the elevator is saved, and the efficiency of taking the elevator for staff is improved.

Description

technical field [0001] The present invention relates to the technical field of machine vision and intelligent control, in particular to an elevator control method and system based on deep learning. Background technique [0002] The popularity of elevators is getting higher and higher, and there are more and more car elevators in large office buildings, residential buildings and shopping malls. However, the car is full of people during rush hours and other times. Since someone presses down on each floor, even if passengers cannot get on the elevator later, the elevator still stops at each floor, which greatly reduces the operating efficiency and causes waste of time for passengers. Contents of the invention [0003] The present invention aims to solve the above technical problems to a certain extent. [0004] In view of this, the present invention provides an elevator control method and system based on deep learning. The elevator control method and system based on deep lea...

AI Technical Summary

Problems solved by technology

However, the car is full of people during rush hours and other times. Since there are people pressing on each floor, even if the passengers cannot get on the elevator later, the elevator still stops at each floor, which greatly reduces the operating efficiency and causes a waste of time for passengers.

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