Robot Diagnosis Interface for Multi-Protocol Communication Checks
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Solution Overview
Problem
There is a need for a diagnostic system that can accommodate various communication formats and database structures specific to different robot manufacturers, as existing diagnostics lack this capability.
Innovation Solution
A robot diagnosis apparatus and method that identifies a target task from a server database, performs diagnostics based on a target task and an option group, and provides a user interface for input, allowing for efficient diagnosis of robot communication states and operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a robot diagnosis apparatus is designed to accommodate various communication formats and database structures for different manufacturers, then the adaptability and versatility of the diagnosis system is improved, but the device complexity increases due to the need to handle multiple formats and structures
Solution Approach 1:
The patent introduces a standardized interface layer and universal database structure that acts as an intermediary between different robot manufacturers' proprietary communication formats and the diagnosis apparatus. This mediator translates various communication formats (such as CAN, LIN, Ethernet) and database structures into a unified internal representation, allowing the diagnosis system to handle multiple formats without increasing core complexity. The interface layer converts manufacturer-specific protocols into standardized messages, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The diagnosis apparatus is designed with universal communication modules and a standardized database schema that can handle multiple robot types and communication protocols through a single unified interface. The system implements a generic diagnosis framework that works across different manufacturers by defining universal data structures and communication patterns, enabling one system to serve multiple functions without requiring separate specialized components for each robot type.
2Measurement precision
If comprehensive diagnosis functions are implemented to check normal communication state of each module and overall robot operation, then the measurement precision and reliability of diagnosis is improved, but the loss of time increases due to the extensive diagnosis process
Solution Approach 1:
The patent implements preliminary configuration where communication parameters, database structures, and diagnosis criteria are pre-configured and stored in the system's memory before actual diagnosis execution. The apparatus pre-loads communication protocols, module specifications, and diagnostic thresholds into ready-to-use formats, so that during actual diagnosis operations, the system can quickly retrieve and apply these pre-prepared configurations without performing time-consuming setup procedures, thus maintaining high measurement precision while reducing diagnosis time.
3Ease of operation
If a user interface is implemented to provide information and request input from users during robot diagnosis, then the ease of operation is improved, but the loss of time increases due to additional interaction steps
Solution Approach 1:
The diagnosis apparatus automatically retrieves robot identification information, communication parameters, and module configurations from pre-stored databases and communication interfaces without requiring manual user input. The system self-configures by automatically detecting robot types, selecting appropriate communication protocols, and loading relevant diagnosis parameters from the database, thereby providing an easy-to-operate interface that minimizes user interaction time while maintaining comprehensive diagnostic capabilities.
Data Source
AI summary
A robot diagnosis apparatus can include a memory storing computer-executable instructions and at least one processor that accesses the memory and executes the instructions. The at least one processor can identify a target task including monitoring of a robot and a test on the robot, based on receiving a database stored in the server, identify an option group including a first option about a type of the robot and a second option about a connection between the robot and the processor, and perform a diagnosis of the robot, based on the target task and the option group.