Elevator group control energy-saving scheduling method

Abstract

The invention belongs to the technical field of elevator group control, and relates to an elevator group control energy-saving scheduling method. The method comprises the following steps: (1) determining a traffic flow mode; (2) establishing a virtual simulation environment for elevator operation; (3) carrying out curve fitting on each data array respectively, and establishing the traffic flow mode, namely, an optimal energy-saving point knowledge base; (4) choosing the average elevator waiting time, congestion degree and energy consumption as objective functions of the multi-objective optimization problem study on an elevator group control system, and establishing an evaluation function; (5) generating elevator traffic flow information by simulation or collecting the actual traffic flow information; (6) determining the traffic flow mode, and searching the evaluation function parameters matched with the type of the traffic flow in a parameter library of the knowledge base as well as an evaluation function expected value matched with the traffic flow mode; and (7) solving a optimal elevator scheduling scheme by a discrete particle swarm optimization method. The proposed scheduling method can realize energy saving effectiveness in the elevator group control system.

Description

technical field [0001] The invention belongs to the technical field of elevator group control, and in particular relates to an elevator group control energy-saving scheduling method. Background technique [0002] Elevator group control dispatching system refers to a service management system that uses unified management and coordination to analyze complex passenger traffic flow, and assigns reasonable elevator resources to complete transportation tasks through optimization processing. The core is the group control dispatching method. From a scientific point of view, group control scheduling is a time-series decision-making problem of resource allocation under environmental changes, which has the characteristics of uncertainty, nonlinearity and diversification of control objectives. [0003] At present, the group control dispatching method widely used in practice pursues the improvement of service performance too much, such as passengers' waiting time for elevators, ride time...

AI Technical Summary

Problems solved by technology

However, these methods have problems such as poor adaptability to elevator traffic flow and lack of versatility, and do not fully consider some key factors and issues that affect energy saving.

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