Automated Self-Diagnostic System for Web-Enabled Devices
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Solution Overview
Problem
Existing electronic devices and systems require significant human involvement for self-diagnosis and problem-solving, which is time-consuming and costly, and traditional search engines are not designed to support automated operations for web-enabled devices.
Innovation Solution
An automated self-diagnostic method and system that enables web-enabled devices to connect with a remote network-based search engine, automatically generate search queries, process responses, and initiate actions to resolve detected problems without human intervention, using standardized communication protocols and search query formatting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional search engines are used for automated self-diagnosis, then human involvement is reduced, but the search engine is not designed to support automated operations and requires significant human intervention for query entry, result interpretation, and action initiation
Solution Approach 1:
The device autonomously performs self-diagnosis by automatically generating search queries based on detected problems, receiving search results, processing the information, and initiating corrective actions without requiring human intervention. The system serves itself by integrating the diagnostic capability directly into the device.
Solution Approach 2:
The device combines multiple functions including problem detection, automated search query generation, search result processing, and action initiation into a single integrated self-diagnostic system. This multi-functional approach eliminates the need for separate human-operated search engines and manual intervention steps.
2Reliability
If human operators review and interpret error codes and failure reports, then accurate diagnosis is achieved, but the process is time-consuming and costly
Solution Approach 1:
The patent replaces the mechanical process of human operators manually reviewing and interpreting error codes with an automated computer-based system. The device automatically generates search queries, processes search results, and determines corrective actions through computational algorithms, eliminating manual labor while maintaining diagnostic accuracy.
Solution Approach 2:
The device performs self-diagnosis autonomously by automatically analyzing its own error codes and failure reports, generating appropriate search queries, processing results, and initiating corrective actions without requiring external human intervention. This self-service capability reduces both time and cost while maintaining reliable diagnosis.
3Adaptability or versatility
If human operators are involved in problem-solving, then complex problems can be addressed, but human involvement is required for all problem-solving tasks regardless of complexity
Solution Approach 1:
The self-diagnostic system dynamically adapts its behavior based on the complexity of detected problems. For simple problems, the device autonomously executes predefined corrective actions. For complex problems, the system automatically generates and processes search queries to find appropriate solutions, adjusting its problem-solving approach based on the situation without requiring human intervention.
Solution Approach 2:
The device handles all problem-solving tasks autonomously by automatically generating search queries for unknown situations, processing search results, and initiating appropriate corrective actions. This self-service capability extends to complex problems, eliminating the need for human involvement while maintaining adaptability and versatility.
Data Source
AI summary
An automated diagnostic system is presented here. The system includes a network-enabled device, a remote network-based search engine, and a data communication network to facilitate data communication between the network-enabled device and the remote network-based search engine. The device automatically detects a problem, error, or failure associated with its operation, and automatically sends a corresponding search query to the remote network-based search engine. The search engine receives the search query and, in response to the search query, searches for relevant information pertaining to the problem, error, or failure, and sends a corresponding response to the network-enabled device. The response includes response data having some contextual association with the solution. The device receives the response, processes at least some of the response data to determine a course of action, and initiates that course of action.