Home Network Server Error Detection via Reference Data Comparison
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Solution Overview
Problem
In home networks, it is challenging to automatically detect errors in devices due to the variability of environments and the lack of a structured setup, making it difficult for users to recognize device breakdowns without manual inspection.
Innovation Solution
A server with a processor and communicator that stores operation states and reference sensing data from sensors, compares received data to determine errors, and transmits error information to user terminal devices, utilizing AI to simulate human brain functions for error detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to detect device breakdowns, then measurement precision can be maintained, but loss of time increases and productivity decreases
Solution Approach 1:
The system enables self-diagnosis by having devices automatically monitor their own operation states and sensors through the server, eliminating the need for manual inspection while maintaining accurate error detection
Solution Approach 2:
The server continuously receives feedback from devices and sensors about their operation states, automatically compares this data with reference values, and detects errors without human intervention, thus reducing maintenance time while preserving detection accuracy
2Productivity
If AI-based automatic error detection is implemented, then productivity increases and loss of time decreases, but device complexity increases
Solution Approach 1:
The server acts as an intermediary between devices and users, centralizing the complex AI-based error detection logic in a dedicated component rather than distributing it across all devices, thus improving productivity while managing system complexity
Solution Approach 2:
The server provides universal error detection functionality across all types of devices in the home network using a single unified AI-based system, eliminating the need for device-specific monitoring solutions and reducing overall system complexity
3Measurement precision
If reference sensing data is stored for each operation state, then measurement precision improves for accurate error detection, but loss of information increases due to data storage requirements
Solution Approach 1:
The system stores reference sensing data locally in the server for each specific operation state, enabling precise error detection for that particular state without requiring storage of all possible historical data, thus balancing accuracy with data management
Solution Approach 2:
Reference sensing data is pre-stored for each operation state before errors occur, allowing the server to immediately compare current sensor readings against these pre-established benchmarks for accurate error detection without needing to analyze historical data patterns
Data Source
AI summary
A server for managing a home network is provided. The server according to an embodiment includes a storage configured to store an operation state of at least one electronic apparatus in the home network and reference sensing data for each of a plurality of sensors, a communicator configured to receive sensing data from the plurality of sensors, and a processor configured to determine the operation state of the at least one electronic apparatus, and compare the stored reference sensing data corresponding to the determined operation state with the received sensing data to determine whether an error occurs in the plurality of sensors and the at least one electronic apparatus.