本文選題：群控電梯 + 粒子群-模擬退火算法　； 參考：《遼寧工程技術(shù)大學(xué)》2014年碩士論文

【摘要】：伴隨著科學(xué)技術(shù)的極迅發(fā)展以及社會(huì)經(jīng)濟(jì)的迅猛進(jìn)步,高層建筑業(yè)已初步成為摩登城市的重要象征,作為垂直交通工具的電梯,擔(dān)負(fù)著大量人流及物流的運(yùn)輸重任,因此,需要加大對(duì)電梯的研究工作。針對(duì)高層建筑電梯多、分布散、維修不及時(shí)等問(wèn)題,提出了一個(gè)優(yōu)化調(diào)度、畫面美觀、報(bào)警維修及時(shí)的群控電梯遠(yuǎn)程監(jiān)控系統(tǒng)。該系統(tǒng)最先運(yùn)用多目標(biāo)優(yōu)化的方法構(gòu)建目標(biāo)函數(shù),接著充分發(fā)揮粒子群算法的概念簡(jiǎn)單、收斂速度快和易于實(shí)現(xiàn)的優(yōu)勢(shì),將模擬退火思想運(yùn)用到粒子群算法中,創(chuàng)建粒子群-模擬退火算法,從而克服粒子群算法容易陷入局部最優(yōu)的弊端。利用該算法對(duì)目標(biāo)函數(shù)進(jìn)行優(yōu)化,從而上位機(jī)根據(jù)算法結(jié)果,合理調(diào)度電梯,進(jìn)而實(shí)現(xiàn)優(yōu)化電梯運(yùn)行性能的目的。經(jīng)過(guò)MATLAB仿真分析表明,該系統(tǒng)節(jié)省了平均候梯時(shí)間、平均乘梯時(shí)間和系統(tǒng)能耗,縮短了故障時(shí)間和維修時(shí)間,提高了電梯的運(yùn)行效率,具有較大的應(yīng)用前景。
[Abstract]:With the rapid development of science and technology and the rapid progress of social economy, the high-level construction industry has initially become an important symbol of modern cities, as a vertical means of transport, the elevator bears a large number of people and logistics transport responsibility, so,There is a need for more research on elevators.A group control elevator remote monitoring system is put forward to solve the problems such as more elevators, scattered elevators, untimely maintenance and so on. A group control elevator remote monitoring system with optimal dispatching, beautiful picture and timely alarm maintenance is put forward.The system first uses the multi-objective optimization method to construct the objective function, and then gives full play to the advantages of the particle swarm optimization (PSO), such as simple concept, fast convergence and easy realization, and applies the idea of simulated annealing to the PSO.PSO-simulated annealing algorithm is created to overcome the disadvantage that PSO is prone to fall into local optimum.The algorithm is used to optimize the objective function, so that the upper computer can reasonably dispatch the elevator according to the result of the algorithm, and then realize the purpose of optimizing the elevator performance.The MATLAB simulation results show that the system can save the average waiting time, the average ladder time and the energy consumption of the system, shorten the failure time and maintenance time, improve the running efficiency of the elevator, and have a great application prospect.
【學(xué)位授予單位】：遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU976.3;TP277

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