UPS Power Management for Self-Service Terminals
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Solution Overview
Problem
Existing UPS devices lack advanced power management capabilities and analytics for Self-Service Terminals (SSTs), leading to inadequate monitoring and management of power usage, which can result in hardware damage and poor user experiences during power outages or fluctuations.
Innovation Solution
A UPS system with power management capabilities that collects battery and power draw metrics, calculates projected power metrics, and provides them to user-operated devices over a network connection, using machine learning algorithms to predict battery lifespan and power availability, while displaying critical metrics on an LCD display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If basic power connection functionality is provided, then device compatibility is improved, but power management capability deteriorates
Solution Approach 1:
The UPS device is designed to perform multiple functions beyond basic power connection, including power metrics collection, analytics generation, machine learning-based predictions, and network communication. The system universally supports various devices while providing advanced power management capabilities through integrated sensors, processors, and communication modules that work together to deliver comprehensive monitoring and control functions.
2Device complexity
If limited display information is provided, then device simplicity is improved, but user awareness deteriorates
Solution Approach 1:
The UPS system continuously collects power metrics data and provides feedback to users through multiple channels including a display interface and network communication. The system monitors battery charge levels, power consumption, and system status in real-time, presenting this information to users through the display and/or remote devices, enabling informed decision-making about power management while maintaining relatively simple device architecture.
3Device complexity
If no power analytics are provided, then device complexity is improved, but power usage optimization deteriorates
Solution Approach 1:
The UPS system performs preliminary actions by collecting power metrics data and generating analytics before power issues occur. The machine learning algorithms analyze historical power consumption patterns and predict future power needs, enabling the system to proactively optimize power usage, prevent battery depletion, and manage power distribution efficiently before problems arise, rather than merely reacting to power failures.
Data Source
AI summary
An Uninterrupted Power Supply (UPS) is provided. The UPS comprises Alternating Current (AC) power ports, communication ports, a battery to supply Direct Current (DC) power, a display, a surge controller, a wireless transceiver, a processor, and a non-transitory computer-readable storage medium having executable instructions. The executable instructions when executed by the processor gathers coarse-grain and fine-grain power consumption metrics for a terminal plugged into an AC power port and the battery. The metrics displayed on the display and provided to user-operated devices over the wireless transceiver. User-operated devices include user interfaces that customer configure the executable instructions of the UPS for custom gathering of the metrics, custom aggregation of the metrics, custom reporting the metrics, and custom displaying of the metrics on the display.