Elevator group control system to be solved is a complex, nonlinear and uncertain multi-objective decision making random.
电梯群控系统所要解决的是一个复杂的、具有非线性和不确定性的多目标随机决策问题。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
At present, most elevator group control systems are designed to schedule elevator only for one control target (least elevator-waiting time).
目前绝大多数电梯群控系统只根据一个控制目标来调度电梯。
So the elevator group control system, which has excellent scheduling strategy, can greatly improve running efficiency and save energy sources.
具有良好调度策略的电梯群控系统能够有效提高运行效率并节约能源。
Therefore, the establishment of elevator group control system model and the research ofd EGCS strategy have an important theoretical significance.
因此，搭建电梯群控系统模型并对电梯群控控制算法进行研究有重要的理论意义。
Group control host is the core of the elevator group control system. It serves as the traffic controller and makes the elevators orderly and efficient.
群控主机是电梯群控系统的核心，它起着交通指挥员的作用，使群控系统中的电梯群有序高效地运行。
The task of elevator group control systems is to transfer passengers effectively and improve the operational efficiency and service quality of elevators.
电梯群控系统的任务是有效地运送乘客，提高电梯运行效率，改善服务质量。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
The passenger flow analysis model is important for traffic analyzing, configuring of elevator system and researching in elevator group control system and its simulation.
该文提出的电梯客流分析模型对于电梯系统的交通分析、配置设计、电梯群控系统及其仿真的研究都具有重要意义。
Multi-level velocity mode is an important feature of the advanced elevator, and the simulation of elevator running is the primary part of the elevator group control research.
多速度模式运行是现代中高速电梯的重要特征，而运行仿真是电梯群控仿真研究的基本环节。
The research is of great applied significance both in the elevator vertical traffic system design of the high-rise, and in the implementation of elevator group control systems.
结论该研究对高层建筑垂直交通系统的设计及其电梯群控技术的实施提供重要依据。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
An elevator group control net based on CAN bus technology is constructed and its corresponding hardware is designed, considering the advantages and disadvantages of the CAN and RS485 bus.
在比较和分析了CAN总线与RS485总线的优缺点的基础上，提出用CAN总线构建电梯群控网络，并完成了基于CAN总线的电梯群控系统的硬件设计。
In this paper, we present an expert intelligence control tactic, for the group supervisory elevator control.
本文提出了一种对电梯群进行实时控制的专家智能控制方法。
Many methods such as Fuzzy Control Approach and Neural Network Approach are already used in elevator group dispatch.
在电梯群调度上已提出了模糊控制法、神经网络法等多种应用到实际中去的方法。
This method is nacessary to Purchasing optimally and dispatching elevators when the fuzzy control in group elevator is performed and the expert system is designed in the technique.
它是完成最优购置和配置电梯，进行梯群模糊控制和设计专家系统时不可缺少的技术手段。
The thesis analyses the multi-object need of the group control system firstly, further introduces the math modal of multi-object optimization, and provides the solution of the elevator dispatching.
首先分析了群控系统的多目标要求，在介绍了多目标优化数学模型的基础上，给出了群控系统的呼叫派梯算法及解决方案。
Corresponding with the passengers demand and minimum energy wastage, the control arithmetic and the optimized maths for the attemper scheme in the elevator group-controled system are set up.
建立电梯群控系统的算法调度方案优化与数学建模，使之尽可能地满足电梯乘客的满意度和减少电梯的能源损耗以满足企业的满意度。
Corresponding with the passengers demand and minimum energy wastage, the control arithmetic and the optimized maths for the attemper scheme in the elevator group-controled system are set up.
建立电梯群控系统的算法调度方案优化与数学建模，使之尽可能地满足电梯乘客的满意度和减少电梯的能源损耗以满足企业的满意度。
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