Shop Power Consumption Prediction and Alert System
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Solution Overview
Problem
Existing energy conservation technologies in shops fail to efficiently reduce the likelihood of exceeding targeted power consumption, as they do not effectively predict and mitigate peak power usage.
Innovation Solution
An information terminal control method that predicts power consumption exceeding a target value, displays a warning screen on an information terminal, and presents actionable messages to shop staff to reduce energy usage during peak periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the total power consumption is monitored and excess is reported after exceeding the target, then the power consumption can be tracked, but the efficiency in energy conservation is not improved because the excess is already occurred by the time of reporting
Solution Approach 1:
The system performs preliminary action by predicting future power consumption trends based on historical data and current patterns. Before the power consumption actually exceeds the target value, the system generates warnings and notifies users, enabling them to take preventive measures. This shifts the timing from reactive (after exceeding) to proactive (before exceeding), resolving the time loss issue while maintaining accurate monitoring.
2Loss of energy
If electrical apparatuses are de-activated based on preset priority order when power consumption exceeds target, then power consumption can be reduced, but the system does not prevent the initial excess occurrence
Solution Approach 1:
The system implements feedback by continuously monitoring power consumption patterns, comparing them against target values, and providing real-time warnings when trends indicate future excess. This feedback loop enables dynamic adjustment of operations before power consumption actually exceeds the target, improving energy conservation efficiency by preventing excess rather than merely responding to it after occurrence.
3Adaptability or versatility
If target power is selected based on seasonal weather information, then power consumption can be managed according to weather conditions, but the possibility of exceeding targeted power consumption is not reduced
Solution Approach 1:
The system applies dynamics by transitioning from static, weather-based target power selection to dynamic prediction that continuously adapts to actual power consumption patterns. The prediction mechanism adjusts in real-time based on current usage trends, enabling the system to dynamically identify when power consumption is likely to exceed targets regardless of weather conditions, thereby improving target adherence reliability while maintaining weather-based adaptability.
Data Source
AI summary
An information terminal control method includes: (a) predicting whether an amount of power consumption in a shop exceeds a target value; (b) when the amount of power consumption in the shop is predicted to exceed the target value, causing a display of an information terminal to display a screen displaying a time period during which the amount of power consumption in the shop is predicted to exceed the target value; and (c) causing the display to display a screen displaying a message that presents an action to reduce the amount of power consumption in the time period.