Toilet Abnormality Detection Using Dynamic Usage Tendency Thresholds
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Solution Overview
Problem
Conventional abnormality detection systems for toilets often erroneously determine abnormalities due to variations in usage patterns during nights, holidays, or regular cleaning, lacking accuracy in distinguishing between normal and abnormal usage deviations.
Innovation Solution
An abnormality detection system that acquires and compares usage state information, such as the number of uses per time period, against past tendencies, using thresholds and considering additional use item tendencies and event information to accurately identify deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a conventional system determines abnormality when usage count falls below a predetermined threshold, then abnormality detection is simple and quick, but false positives occur during nighttime or holidays when usage naturally decreases
Solution Approach 1:
The system dynamically adjusts the abnormality determination threshold based on the time of day and day type. During nighttime or holidays when usage naturally decreases, the threshold is automatically adjusted to accommodate lower usage patterns, preventing false positives while maintaining simple detection logic
Solution Approach 2:
The system changes the determination parameters (threshold values) according to temporal conditions such as time of day and day type. By modifying these parameters dynamically, the system maintains high accuracy without requiring complex analytical models
2Adaptability or versatility
If the system uses a fixed predetermined threshold for abnormality detection, then the detection rule is simple and easy to implement, but it cannot adapt to natural usage variations during different times or events
Solution Approach 1:
The system pre-establishes multiple determination thresholds corresponding to different time periods (daytime, nighttime, weekends, holidays). This preliminary preparation allows the system to quickly select the appropriate threshold without performing complex real-time analysis, balancing adaptability with efficiency
Data Source
AI summary
An abnormality detection system according to an embodiment has an acquisition unit that acquires information that indicates a tendency of a usage state of one use item that is provided as an item for use that is executed by a user of a toilet, and a determination unit that determines that an abnormality concerning the one use item occurs in a case where a tendency of the usage state of the one use item is separated from a use tendency of the one use item in past.