Information processing device and method based on neural network

Abstract

The invention provides an information processing device and method based on the neural networks. The information processing device comprises a processing module and an artificial neural network operation module, wherein the processing module is used for receiving elevator request information and encoding the elevator request information; the artificial neural network operation module is used for receiving the coded elevator request information, and performing neural network operation according to the coded elevator request information to determine an elevator task scheduling mechanism; and theprocessing module is used for controlling an elevator to run according to the elevator task scheduling mechanism, information of the business of the elevator and information of concentration of people. According to the information processing device and method based on the neural networks, the operation efficiency of the elevator can be improved, the waiting time of users is effectively shortened,and resources are saved.

Description

technical field The disclosure belongs to the technical field of information processing, and more specifically relates to an information processing device, method and intelligent elevator. Background technique In the technical field of elevators, existing elevator scheduling schemes mainly include the following: 1. carjacking in the forward direction (with reference to the LOOK (search) scheduling algorithm of hard disk scheduling, that is, the operating system Scan algorithm); 2. nearest response (the nearest Elevator response service); 3. Neural network balance scheduling, etc. However, the existing elevator scheduling schemes have the following deficiencies: 1. It is difficult to achieve scheduling optimization during group control elevator scheduling so that elevator box resources can be reasonably and fully utilized; 2. It is difficult to implement an optimization algorithm to make the average response time of elevator requests The shortest; 3. The elevator scheduling...

AI Technical Summary

Problems solved by technology

However, the existing elevator scheduling schemes have the following deficiencies: 1. It is difficult to achieve scheduling optimization during group control elevator scheduling so that elevator box resources can be reasonably and fully utilized; 2. It is difficult to implement an optimization algorithm to make the average response time of elevator requests The shortest; 3. The elevator scheduling mechanism is relatively fixed, unable to achieve real-time optimization, and lacks learning ability and adaptability in actual application scenarios

Images