Intelligent recognition-based elevator group control optimization scheduling system and method

Abstract

The application discloses an elevator group control optimization scheduling system and method based on intelligent identification, and relates to the technical field of elevator control, which comprises a data management unit, a central processing unit and a scheduling management unit. The application can make the operation of the elevator group more accurately meet the actual demand by analyzing and identifying the operation state characteristic data, can make the scheduling more scientific and reasonable by providing accurate input for the scheduling management unit through the central processing unit by identifying specific energy consumption and load demand data, and can significantly reduce the invalid operation and no-load rate in the elevator operation process by optimizing the energy consumption data and load demand data of the elevator group, thereby reducing the waiting time and stopping times of the elevator through accurate scheduling, and reducing energy consumption and operation cost.

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