Elevator Controller Dynamic Positioning Adaptation
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Solution Overview
Problem
Elevator car leveling controls struggle to maintain consistent positioning at stops due to inconsistent elevator behavior caused by changes in travel speed, acceleration, deceleration, and environmental factors, leading to inefficiencies and potential readjustments.
Innovation Solution
A control system that records and analyzes multiple trip data to calculate changes in positioning, allowing for optimized entry process duration and location by selecting values from past trips that closely match current trip conditions, even when elevator behavior is inconsistent, and updates memory to ensure accurate and efficient control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a predetermined distance X is used for controlling the stop of the elevator car, then the stop position can be controlled, but the positioning accuracy deteriorates due to inconsistent elevator behavior
Solution Approach 1:
The predetermined distance X is transformed from a static fixed value to a dynamic adaptive value X'. The control device calculates X' based on recorded trip data, allowing the positioning parameter to adapt dynamically to changing elevator behavior caused by temperature, wear, or environmental factors, thereby maintaining positioning accuracy despite reliability variations
Solution Approach 2:
The control device implements a feedback mechanism by recording measured values from multiple trips and using this historical data to calculate an optimized distance X'. This feedback loop allows the system to learn from past performance and continuously improve positioning accuracy, compensating for inconsistencies in elevator behavior over time
2Productivity
If the entry process duration is optimized for one trip, then the positioning efficiency improves, but the consistency across different trips deteriorates due to changing elevator behavior
Solution Approach 1:
The control device changes the parameter X from a fixed predetermined value to a variable X' that is calculated based on recorded trip data. This parameter transformation allows the entry process duration and positioning efficiency to be optimized for each trip while maintaining consistency across different trips, even when elevator behavior changes due to temperature or wear
3Device complexity
If the predetermined distance X is fixed, then the control system is simple, but the adaptability to changing elevator behavior deteriorates
Solution Approach 1:
The control device performs self-adjustment by automatically calculating the optimized distance X' based on recorded trip data without requiring external intervention or complex manual calibration. The system serves itself by learning from its own operational history and adapting to changing elevator behavior, maintaining simplicity while improving adaptability
Solution Approach 2:
The control device performs preliminary recording of measured values during normal operation and uses this pre-collected data to calculate X' before the next positioning operation. This preliminary action allows the system to adapt to changing behavior patterns without adding complexity to the real-time control mechanism
Data Source
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AI summary
The control system according to the invention is a control system for optimizing the leveling process of an elevator car at a landing for an elevator with an elevator control system which controls the stopping of the car at a landing depending on a predetermined distance X to the landing, wherein the control system is designed to record a set of at least one identical measured value during at least two, in particular at least three, journeys, to determine a change dX or a changed distance X' depending on the set of the current journey and at least one past journey and to output the changed value X' or the difference dX to the predetermined distance X.