Adaptive Elevator Power Control via Dynamic Profiles
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Solution Overview
Problem
Existing elevator power savings systems are inflexible, either fully active or inactive, and fail to balance power savings with reactivation time efficiently, leading to suboptimal energy management.
Innovation Solution
An adaptive power management system that uses a customizable power profile, generated based on usage patterns and user preferences, to selectively power off components during low usage periods and quickly reactivate during high usage, with an adaptive learning process to continuously adjust settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If existing power savings systems switch off parts of the electrical system, then power consumption is reduced, but reactivation time increases causing delays in answering elevator calls
Solution Approach 1:
The system dynamically adjusts power management settings by transitioning between multiple power profiles (first, second, and third profiles) based on real-time elevator car call activity. When calls are detected, the system switches from a first power profile with higher power savings to a second or third profile with lower power savings or full operation, thereby optimizing the balance between power consumption and reactivation time according to actual usage conditions
Solution Approach 2:
The system changes operational parameters by modifying which components remain powered versus powered off based on the selected power profile. The controller selectively powers off components such as lighting, ventilation, and door operators during low-activity periods, then rapidly reactivates them when calls are detected, thus adjusting power consumption levels without permanently sacrificing responsiveness
2Device complexity
If existing power savings systems are made inflexible (either active or inactive), then system complexity is reduced, but adaptability to different usage patterns deteriorates
Solution Approach 1:
The power management system is segmented into multiple discrete power profiles (first, second, and third profiles), each with distinct power-saving characteristics and component shutdown configurations. This segmentation allows the system to select appropriate profiles based on usage patterns without requiring a single complex adaptive algorithm, thereby maintaining relative system simplicity while achieving high adaptability to different operational conditions
Solution Approach 2:
The system incorporates feedback mechanisms that monitor elevator car call activity and automatically transition between power profiles based on detected usage patterns. This feedback-driven approach enables the system to adapt to different usage scenarios without requiring complex manual configuration or predictive algorithms, balancing adaptability with system simplicity
Data Source
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AI summary
A system for managing power in an elevator system, the system including an elevator controller; an elevator car in communication with the controller; a component associated with the elevator car; a power management system in communication with the controller; and a database in communication with the power management system, the database including a power profile; wherein the power management system provides power commands to the elevator controller to enter a power savings mode in response to the power profile, the controller sending a power off signal to the component in response to the power command.