Based On The Analysis Of Vertical Passengerer Traffic Optimization Of Elevator Group Control

In the social and economic development and the higher up, the greater the last of the high-rise building, building the use function of the passenger flow and the new change happened, elevator configuration technology face new challenges and mission. Vertical traffic volume analysis and elevator group control is the elevator in the field of configuration both have inner connection of question, because the problem of universality, complexity and complexity of challenging, and bring the optimization of the elevator group control brought considerable economic benefit and social benefit, caused many elevator companies and research institutes of interest.This paper attempts to make use of all the work in the field of artificial intelligence new theories and methods, and on the elevator traffic flow analysis and elevator group control optimization algorithm is analyzed and discussed. The following list is this paper the main work, innovative work has not been seen in the domestic and foreign similar reports:1. Will clustering theory is introduced to the elevator traffic flow analysis, and put forward a new type of two level structure clustering method. The first new method of artificial immune system theory and antibody immune incentive, immune suppression and immune memory mechanism, elevator traffic of the passenger flow data enforcement characteristics acquiring and elevator traffic flow artificial immune memory data set, also called the passenger flow data characteristics. Then respectively with hierarchical clustering (hierarchical clustering) and support vector machine (SVM) clustering (vector) feature clustering teachers passenger data clustering analysis. Finally the clustering results are analyzed and explained.2. Flow prediction is the elevator traffic flow mode discrimination, and it is also the important link of the peak flow mode improve dynamic performance of the elevator division key. According to this problem, this paper proposes long-term forecast and the short-term forecast the way of combination of layer of the passenger flow station to predict demand, not only reflect the elevator traffic regularity, and reflects its randomness and dynamic.This papers to the innovative work, for vertical traffic volume analysis elevator group control system and puts forward the new method, concept and algorithm based on the perspective of different form, to improve the performance of the system, the elevator for promoting the development of the elevator configuration technology has important significance.