摘要
介绍了电梯群控技术的发展历史和现状，着重分析了专家系统、模糊控制、神经网络、遗传算法、启发式搜索算法、强化学习、机器视觉等技术；列举了主要电梯企业电梯产品应用群控技术的状况；指出研究强化学习技术和机器视觉技术对电梯群控未来发展有重要意义。
This article describes the development of elevator group control technology, history and current situation, focusing on analysis of the following techniques： expert systems, fuzzy control, neural networks, genetic algorithms, heuristic search algorithm, reinforcement learning and machine vision etc. The major elevator group control products are introduced. This article points out the significance of the study of reinforcement learning techniques and low-cost machine vision technology for elevator group control.
出处
《中国电梯》
2010年第7期14-23,共10页
China Elevator
关键词
电梯
群控
遗传算法
强化学习
机器视觉
Elevator
Group Control
Genetic Algorithms
Reinforcement Learning
Machine Vision
