基于改进灰狼优化的电梯制动性能动态监测方法  

Dynamic Monitoring Method of Elevator Braking Performance Based on Improved Gray Wolf Optimization

作　　者：马彦鸿 Ma Yanhong(Gansu Provincial Institute of Special Equipment Inspection and Testing,Lanzhou,Gansu,730050)

机构地区：[1]甘肃省特种设备检验检测研究院,甘肃兰州730050

出　　处：《西部特种设备》2023年第4期48-51,74,共5页Western Special Equipment

摘　　要：本文提出一种基于改进灰狼优化的电梯制动性能动态监测方法。该方法采用Tent映射改进种群初始化处理方式,并引入合作竞争机制,在各个指挥个体之间建立关联,通过计算其他灰狼与指挥参数之间的距离,更新其他灰狼的位置信息,最终的最优值即为电梯的制动距离。在电梯运行不断产生新数据的过程中,改进灰狼算法输出的制动距离也是动态的,由此实现对电梯制动性能的动态监测。测试结果表明,设计方法对电梯制动距离的监测误差稳定在0.06m以内。In this paper,a dynamic monitoring method of elevator braking performance based on improved gray wolf optimization is proposed.The method uses tent mapping to improve the population initialization processing method,and introduces the cooperative competition mechanism to establish an association relationship between each command individual.By calculating the distance between other gray wolves and the command parameters,the location information of other gray wolves is updated,and the final optimal value is the braking distance of the elevator.And in the process of elevator constantly generating new data,the braking distance output by the improved gray wolf algorithm is also dynamic,so as to realize the dynamic monitoring of elevator braking performance.The test results show that the monitoring error of elevator braking distance by the design method is stable within 0.06 m.

关 键 词：改进灰狼优化 电梯制动性能 动态监测 TENT映射 竞争合作机制 制动距离 

分 类 号：TE624[石油与天然气工程—油气加工工程]