Index Calculator for Anomaly Detection in Electronic Devices
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Solution Overview
Problem
Existing electronic devices lack an efficient method to conveniently identify anomalies in temperature-related issues within the device or ambient environment, making it difficult for users to detect performance degradation or anomalies in real-time.
Innovation Solution
An electronic apparatus with a housing, heat generating elements, and multiple sensors that calculate an index based on detected values using a correlation between sensor readings, allowing for the determination of physical phenomena or performance indicators, such as temperature, airflow, and cooling performance, using a controller to generate visual and auditory outputs for user notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors and index calculation methods are implemented to detect anomalies, then measurement precision and reliability improve, but device complexity increases
Solution Approach 1:
The patent divides the anomaly detection system into multiple independent sensor units, each measuring different physical quantities (temperature, humidity, pressure, etc.). Each sensor independently collects data that contributes to the overall anomaly detection, allowing the system to achieve high measurement precision through distributed sensing without requiring a single complex detection mechanism.
Solution Approach 2:
The patent implements an index calculation unit that processes data from multiple different sensor types using a unified calculation framework. This multi-functional approach allows the same computational system to handle various sensor inputs (temperature, humidity, pressure, airflow) and generate comprehensive anomaly detection indices, reducing overall system complexity while maintaining high detection precision.
2Reliability
If real-time anomaly detection is implemented through continuous monitoring, then reliability improves, but energy consumption increases
Solution Approach 1:
The patent implements periodic sampling of sensor data rather than continuous monitoring. The system collects sensor readings at predetermined time intervals, processes the data to calculate anomaly indices, and compares them against reference values. This periodic approach maintains reliable anomaly detection capability while significantly reducing energy consumption compared to continuous real-time monitoring.
Solution Approach 2:
The system automatically compares calculated anomaly indices against pre-stored reference values and autonomously determines whether anomalies exist without requiring external intervention. The controller automatically generates notifications when anomalies are detected, enabling the system to self-manage the monitoring process efficiently with minimal energy expenditure on manual operations.
Data Source
AI summary
According to one embodiment an electronic apparatus includes a housing, a heat generating element, a plurality of sensors, and an index calculator. The heat generating element is housed in the housing. The index calculator calculates an index corresponding to a physical quantity or an index indicating performance of the electronic apparatus, based on a correlation between detected values of the sensors and the index.