基于呼梯预约和大数据分析的电梯群控研究  

Research on elevator group control based on call reservation and big data analysis

作　　者：马福军[1] Ma Fujun(School of Building Equipmen of Zhejiang College of Construction,Hangzhou,Zhejiang 311231,China)

机构地区：[1]浙江建设职业技术学院建筑设备学院,浙江杭州311231

出　　处：《计算机时代》2022年第7期7-11,16,共6页Computer Era

摘　　要：对电梯群控客流分析、呼梯指令、轿厢拥挤度等不确定性和泊梯位置科学布局进行了研究。提出用手机智能预约呼梯,建立群控数据库,采用大数据分析软件参与电梯群控的方法,减少电梯群控不确定性变量,并采用先进的人工蜂群算法提升电梯群控调度的准确度。实验结果表明,基于呼梯预约和大数据分析的电梯群控系统,能有效降低乘客平均候梯时间和出现长候梯时间的次数和长候梯时间,能科学布局梯群泊梯位置,提升电梯群控的性能。In order to improve the efficiency of elevator group control,the uncertainty of elevator group control passenger flow analysis,call instruction,car congestion and the scientific layout of parking position are studied.It is proposed to make an intelligent reservation call by cell phone and establish a group control database.The big data analysis software is used to participate in elevator group control to reduce the uncertain variables of elevator group control.Advanced artificial bee colony algorithm is used to improve the accuracy of elevator group control scheduling.The experimental results show that the elevator group control system based on call reservation and big data analysis can effectively reduce the average waiting time of passengers,the number of long waiting times and long waiting time.It can scientifically arrange the parking position of elevator groups and improve the performance of elevator group control.

关 键 词：电梯群控 呼梯预约 大数据分析 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]