Elevator Car Assignment Using Predicted Load and Speed
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Solution Overview
Problem
Conventional elevator systems face challenges in accurately assigning suitable cars due to discrepancies between predicted and actual car loads, and the complexity of group control requires accounting for changes in maximum speed and acceleration, leading to reduced reliability.
Innovation Solution
An elevator system with a group management control device that includes a destination floor registration unit and an assignment control unit with a prediction time calculation unit, which calculates changes in moving distance and arrival times based on speed and acceleration, ensuring optimal car assignment by considering changes in car load and moving distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the maximum speed or acceleration of each car is changed according to car load or moving distance, then the operation time of each car is shortened, but it is necessary to take account of the change of maximum speed or acceleration at the time of car assignment, making the control complicated and reducing the reliability
Solution Approach 1:
The system pre-calculates and stores the relationship between car load, moving distance, maximum speed, and acceleration in advance. During operation, the assignment control unit simply retrieves pre-computed data rather than performing complex real-time calculations, thereby reducing control complexity while maintaining optimized operation times
Solution Approach 2:
The system dynamically adjusts maximum speed and acceleration parameters based on predicted car load and moving distance. The assignment control unit selects cars by comparing predicted arrival times calculated from these variable parameters, enabling optimized operation without requiring complex real-time control adjustments
2Productivity
If the prediction result of car load is used for car assignment, then the car assignment can be optimized, but when the prediction result differs from actual car load, a suitable car cannot be assigned
Solution Approach 1:
The system dynamically adjusts the predicted maximum speed and acceleration of each car based on the predicted car load. The assignment control unit calculates predicted arrival times using these dynamically adjusted parameters, allowing the system to adapt to different load conditions and improve assignment accuracy while maintaining high productivity
Solution Approach 2:
The system uses predicted car load information to adjust assignment decisions. By calculating predicted arrival times based on predicted load and using these predictions for assignment, the system creates a feedback loop that improves assignment accuracy while maintaining efficient car utilization
Data Source
AI summary
An elevator system is obtained which is capable of assigning a suitable car by taking into consideration a change of a maximum speed or an acceleration according to the result of prediction of a change of a car load or a moving distance with respect to a hall call. In the elevator system having a group management control device (20), provision is made for a destination floor registration unit (11) that registers a destination floor according to a call into a call registration device (10) at the time of call registration, and an assignment control unit (21) that assigns a suitable car to a destination call registration request from the call registration device (10). The assignment control unit (21) includes a prediction time calculation unit (22), and calculates a change of the moving distance of each car after the call assignment based on the destination floor, and at the same time calculates each floor arrival prediction time of each car using a speed or an acceleration thereof according to a calculated value of the change of the moving distance.