Elevator Control System Dynamic Door Timing Optimization
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Solution Overview
Problem
Elevator systems often require adjustments to optimize door opening times and energy consumption based on actual usage patterns, which are difficult to determine during installation due to time constraints and lack of knowledge about future use.
Innovation Solution
A method for controlling elevators that adjusts door opening times and energy-saving modes based on real-time traffic statistics, including door reversal times, light barrier interruptions, and time-dependent factors, ensuring optimal performance and energy efficiency without compromising user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If door opening time is extended to accommodate all users, then user comfort is improved, but energy consumption increases and transport efficiency deteriorates
Solution Approach 1:
The door opening time is made dynamic rather than fixed. The control device adjusts the door opening time based on real-time monitoring of light barrier interruptions and reversing contact responses. The system starts with a base time and extends it dynamically only when additional users are detected, thereby balancing user comfort with energy efficiency.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring light barriers and reversing contacts during door operation. Based on this feedback, the control device determines whether to extend the door opening time beyond the base period, allowing the system to adapt to actual usage conditions and avoid unnecessary energy consumption.
2Reliability
If door opening time is extended for safety, then user safety is improved, but transport capacity and efficiency deteriorate
Solution Approach 1:
The door opening time is made dynamic rather than fixed. The control device adjusts the door opening time based on real-time monitoring of light barrier interruptions and reversing contact responses. The system starts with a base time and extends it dynamically only when additional users are detected, thereby balancing user comfort with energy efficiency.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring light barriers and reversing contacts during door operation. Based on this feedback, the control device determines whether to extend the door opening time beyond the base period, allowing the system to adapt to actual usage conditions and avoid unnecessary energy consumption.
3Loss of time
If elevator parameters are pre-configured during installation, then commissioning time is reduced, but adaptability to actual usage patterns deteriorates
Solution Approach 1:
The elevator system performs self-optimization by automatically monitoring its own operation and adjusting door opening times based on recorded usage patterns. The control device stores measured values from light barrier interruptions and reversing contact responses, then uses this data to autonomously optimize parameters without requiring external intervention or lengthy commissioning processes.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring light barriers and reversing contacts during door operation. Based on this feedback, the control device determines whether to extend the door opening time beyond the base period, allowing the system to adapt to actual usage conditions and avoid unnecessary energy consumption.
4Measurement precision
If multiple parameters are monitored and analyzed, then optimization precision is improved, but device complexity increases
Solution Approach 1:
The elevator system performs self-optimization by automatically monitoring its own operation and adjusting door opening times based on recorded usage patterns. The control device stores measured values from light barrier interruptions and reversing contact responses, then uses this data to autonomously optimize parameters without requiring external intervention or lengthy commissioning processes.
Data Source
AI summary
The present invention relates to various methods for controlling at least one elevator or group of elevators, each with at least one elevator car and one control unit. One method relates to optimizing door opening times. The second embodiment relates to optimizing the parking position of an elevator based on traffic statistics. A third aspect relates to optimizing energy-saving circuits.