Robot Error Diagnosis via Standardized Data Packaging
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Solution Overview
Problem
Conventional robots require professional maintenance to diagnose errors, which can be time-consuming and limited to detecting hardware issues, while software errors often go undetected, complicating error detection processes.
Innovation Solution
A robot diagnosis system that includes an error diagnosis method and terminal device, equipped with a processor, memory, and sensors, which conducts regular operational status checks, analyzes diagnosis data, and packages it into a standardized format for easy identification of errors by maintenance staff, including hardware and software components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional maintenance staff perform disassembly and error detection processes, then error detection precision is improved, but loss of time increases
Solution Approach 1:
The patent implements preliminary error detection through embedded sensors and diagnostic software that continuously monitor robot operation before actual failures occur. The system pre-identifies potential errors by analyzing operational data, allowing maintenance staff to address issues before they become critical, thus reducing both detection time and downtime while maintaining detection precision.
Solution Approach 2:
The robot system performs self-diagnosis through integrated sensors and processing units that automatically monitor hardware status and software operation. This self-service capability enables the system to identify errors without requiring immediate professional intervention, reducing loss of time while maintaining detection accuracy through automated preliminary assessment.
2Measurement precision
If comprehensive error detection is implemented, then error detection capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the error detection system into distinct functional modules: sensors for hardware monitoring, processing units for data analysis, and software for error identification. Each module performs a specific function, allowing the comprehensive detection capability to be achieved through coordinated simple components rather than a single complex system, thus improving detectability while managing complexity through modular design.
Data Source
AI summary
An error diagnosis method of a robot includes determining operational status of components of a robot and determining an operational status of a main control process of the robot, generating diagnosis data comprising a data format having an error status level, a name of an error diagnosis processes of the components, and an error code identity (ID) number, packaging diagnosis data of the operational status of the components as diagnosis information in a predetermined data format, storing the diagnosis information in memory.