Appliance Diagnostic Guidance for Unfamiliar Models
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Solution Overview
Problem
Diagnosing and repairing home appliances is time-consuming and difficult due to varying specifications and parts, requiring specialized training and expertise, especially for unfamiliar models.
Innovation Solution
A diagnostic determination system that provides appliance guides and diagnostic interfaces through a computing device, enabling technicians to follow guidance paths and receive instructions for accurate diagnosis and repair, including video assistance and part ordering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If technicians learn repair processes for every type of appliance through traditional training, then diagnostic accuracy and repair quality improve, but training time and entry into productivity deteriorate
Solution Approach 1:
The patent introduces a diagnostic system with automated guidance as an intermediary between the technician and the complex appliance repair processes. The system provides step-by-step instructions, automated diagnostics, and real-time support, allowing technicians to achieve accurate diagnostics without extensive prior training on each appliance type.
Solution Approach 2:
The diagnostic system serves multiple functions: it guides diagnostics, provides repair instructions, offers real-time support, and adapts to different appliance types. This universal tool replaces the need for technicians to separately learn multiple specialized repair processes for different appliance categories.
2Measurement precision
If technicians specialize in specific appliance types to maintain expertise, then diagnostic precision improves, but adaptability to new or unfamiliar appliance models deteriorates
Solution Approach 1:
The diagnostic system is designed to be dynamic and adaptable, automatically adjusting its guidance based on the specific appliance type, model, and diagnosed conditions. This allows technicians to work with new or unfamiliar appliance types without requiring specialized training for each type, as the system adapts its diagnostic approach in real-time.
Solution Approach 2:
The system incorporates feedback mechanisms that learn from diagnostic outcomes and repair results, continuously improving its guidance accuracy. This feedback loop ensures high diagnostic precision across diverse appliance types while maintaining adaptability to new models through updated diagnostic algorithms.
3Reliability
If comprehensive diagnostic procedures are followed for all appliances, then diagnostic accuracy improves, but time to complete repairs deteriorates
Solution Approach 1:
The diagnostic process is segmented into modular steps that can be executed in sequence based on appliance type and symptom. The system divides comprehensive diagnostics into manageable segments, allowing technicians to follow only the necessary steps for each specific case rather than performing all possible diagnostic procedures on every appliance.
Solution Approach 2:
The system applies partial diagnostics by selecting and executing only the necessary diagnostic steps based on the specific appliance type and reported symptoms. This avoids performing excessive or unnecessary diagnostic actions while maintaining sufficient accuracy for effective repair.
4Stability of the object's composition
If standardized repair procedures are used across all appliance types, then process consistency improves, but ability to handle varying appliance specifications deteriorates
Solution Approach 1:
The system maintains process consistency through standardized diagnostic frameworks while adapting to varying appliance specifications by changing parameters such as diagnostic thresholds, measurement points, and repair procedures. This allows the same core process to be applied universally while accommodating specific appliance variations through parameter adjustment.
Data Source
AI summary
Examples of the present disclosure are directed towards determining a diagnosis of an appliance. In an example, a method for diagnosing an appliance includes receiving input indicating a type of an appliance, providing an initial prompt of an appliance guide; receiving second input indicating a condition of the appliance, determining a guidance path based on the second input and the type of appliance, and responsive to determining the guidance path, providing a first diagnostic interface.


