Auto Adjust Elevator Door System Dynamic Timing
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Solution Overview
Problem
Traditional elevator door systems maintain a fixed door open time, which is insensitive to peak and non-peak hours of passenger traffic, leading to inefficient operation and potential discomfort for passengers.
Innovation Solution
A system that includes processors, storage mediums, and executable instructions to dynamically adjust elevator door open times based on signals from door selectors and sensors, associating door open durations with elevator car locations, time of day, day of the week, and travel direction, utilizing machine learning to optimize door operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed door open time is used, then system simplicity is maintained, but adaptability to peak and non-peak hours deteriorates
Solution Approach 1:
The door open time is changed from a fixed static value to a dynamic value that automatically adjusts based on detected traffic patterns. The system monitors door usage over time and modifies the door open duration accordingly, allowing the elevator to adapt to peak and non-peak hours without manual intervention.
Solution Approach 2:
The system implements a feedback mechanism where door usage data is continuously collected and analyzed. Based on this feedback about actual traffic patterns, the door open time is automatically adjusted to optimize performance for different time periods and usage conditions.
2Ease of operation
If door open time is extended for peak hours, then passenger comfort is improved, but energy consumption increases
Solution Approach 1:
The system applies different door open time durations based on periodic patterns of elevator usage. During peak periods when demand is high, longer door open times are automatically applied to improve passenger comfort. During non-peak periods, shorter door open times reduce energy consumption. The system transitions between these periodic states based on detected usage patterns.
3Productivity
If door open time is dynamically adjusted, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs self-adjustment of door open times based on its own operational data. By monitoring its own usage patterns and automatically modifying its behavior, the system improves operational efficiency without requiring external control or complex centralized management, effectively serving itself.
Data Source
AI summary
A system including one or more processors, one or more non-transitory storage mediums, a data file, and executable instructions. The processor is configured to receive a door close signal from a door close selector and a door open signal from at least one of a door open selector and a door obstructed sensor. The data file is stored in the non-transitory storage medium and includes a door open time duration associated with at least one of the door open signal and the door close signal. The executable instructions are stored in the non-transitory storage medium and is executed by the processor. The executable instructions are configured to generate the door open time duration based on at least one of the door open signal and the door close signal. The processor is configured to output a door open command based, at least in-part, on the door open time duration.