Adaptive UV Cabin Lamp Power Control Under Vehicle Power Limits
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Solution Overview
Problem
Existing systems face challenges in efficiently managing and predicting power usage among UV lamps and other powered sub-systems in vehicles like commercial aircraft, where power availability is limited, leading to inefficient and ineffective power distribution.
Innovation Solution
A power management system and method that includes a control unit to dynamically allocate power to UV lamps and other sub-systems based on need and demand, using presence sensors and predictive algorithms to adaptively control power supply, ensuring efficient power distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UV lamps operate at full capacity to ensure effective disinfection, then disinfection effectiveness is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts UV lamp power output based on real-time sensor data and predictive algorithms. Power management control units continuously monitor environmental factors and modify lamp intensity to match actual disinfection needs, transitioning from static full-capacity operation to adaptive dynamic control that optimizes both effectiveness and energy efficiency
Solution Approach 2:
The system changes operational parameters by adjusting power delivery to UV lamps based on predicted and sensed conditions. Power management control units modify voltage, current, or intensity parameters in response to sensor inputs and algorithmic predictions, enabling the system to operate at optimal power levels rather than constant full capacity
2Area of stationary object
If power is allocated to multiple UV lamps simultaneously, then coverage area is improved, but power availability becomes insufficient
Solution Approach 1:
The system performs preliminary actions by using predictive algorithms to forecast future power requirements and sensor data to anticipate disinfection needs. Power management control units proactively allocate power resources based on predicted scenarios, ensuring that sufficient power is reserved for critical disinfection areas while preventing power shortages before they occur
Solution Approach 2:
The system segments power allocation by dividing the aircraft into multiple zones with independent power management. Each zone's UV lamps are controlled separately based on local sensor data and predictive algorithms, allowing selective power distribution to high-priority areas while reducing or eliminating power to low-priority zones, thereby expanding effective coverage within power constraints
3Measurement precision
If power management systems use complex predictive algorithms and sensors, then power allocation accuracy is improved, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating sensor data acquisition, predictive algorithm processing, and power management control into unified power management control units. These multi-functional components perform multiple tasks simultaneously, improving measurement and allocation accuracy while avoiding the complexity increase that would result from separate dedicated components for each function
Data Source
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AI summary
A power management system and method for a vehicle includes a plurality of ultraviolet (UV) light sub-systems within an internal cabin of the vehicle. A power management control unit is in communication with the plurality of UV light sub-systems. The power management control unit is configured to adaptively control power supplied to the plurality of UV light sub-systems based on power usage data. The power supplied to the plurality of UV light sub-systems changes. The power usage data includes information regarding adaptable power requirements for the plurality of UV light sub-systems.