基于改进ABC算法的电梯群控调控系统在智能化建筑中的应用

Application of Elevator Group Control System Based on Improved ABC Algorithm in Intelligent Building

针对智能建筑中电梯调度的能源浪费问题和服务体验差的问题,研究改进ABC群体智能算法应用于电梯群控系统中。通过构建电梯群控的能耗函数和时间函数最为优化调度的指标,研究划分了电梯的交通模型,并采集数据构建了仿真数据集。通过仿真实验证明,改进ABC电梯调度方法下,乘客的平均等待时间和评价乘坐时间分别比PSO算法少4.9s和0.9s;下行模式的能耗和层间模式能耗分别比PSO算法减少了0.280kwh和0.947kwh。实验表明,改进的ABC电梯群控算法可以有效减少乘客的电梯交通时耗与能耗,该方法下,建筑运行更符合绿色低碳经济发展的要求。

Aiming at the problems of energy waste and poor service experience of elevator dispatching in intelligent buildings, the improved ABC swarm intelligence algorithm is studied and applied to the elevator group control system. By constructing the energy consumption function and time function of the elevator group control as the most optimized dispatching index, the traffic model of the elevator is studied and divided, and the simulation data set is constructed by collecting data. The simulation results show that the average waiting time and the evaluation riding time of passengers are 4.9s and 0.9s less than that of PSO algorithm respectively under the improved ABC elevator scheduling method. The energy consumption of the downlink mode and the inter layer mode are reduced by 0.280kW·h and 0.947kW·h respectively compared with the PSO algorithm. The experiment shows that the improved ABC elevator group control algorithm can effectively reduce the passenger’s elevator traffic time consumption and energy consumption. Under this method, the building operation is more in line with the requirements of green and low-carbon economic development.