Data processing system and data processing method
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Solution Overview
Problem
Current deterioration diagnosis methods for servo systems lack convenience and accuracy, particularly in distinguishing reliable diagnostic parameters from noise, leading to potential misinterpretation of data.
Innovation Solution
A data processing system that acquires diagnostic parameters from servo systems, including control and detection values, and generates extraction values from specific periods, providing reliability information to enhance diagnosis accuracy and user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple diagnostic parameters are collected from servo systems, then the comprehensiveness of diagnosis is improved, but the difficulty of distinguishing reliable parameters from noise increases
Solution Approach 1:
The patent replaces manual expert judgment with an automated reliability determination system that uses algorithms to objectively evaluate diagnostic parameters. The system automatically calculates reliability based on predefined criteria such as parameter variation ranges, correlation with actual deterioration, and consistency across multiple measurements, eliminating the need for expert intervention while improving accuracy.
Solution Approach 2:
The patent introduces an intermediary reliability determination mechanism that acts as a bridge between raw diagnostic parameters and final diagnosis results. This intermediary layer evaluates the quality of each parameter and assigns reliability scores, allowing the system to filter out noisy data while preserving valuable diagnostic information without requiring direct expert assessment.
2Measurement precision
If reliability information is added to diagnostic parameters, then the accuracy of deterioration diagnosis is improved, but the device complexity increases
Solution Approach 1:
The patent merges the reliability determination function directly into the existing data processing system, combining parameter acquisition, reliability evaluation, and diagnosis output into a unified workflow. By integrating these functions rather than adding separate standalone systems, the patent minimizes structural complexity while achieving improved measurement precision through comprehensive reliability assessment.
Solution Approach 2:
The system performs self-service by automatically determining reliability metrics without requiring external expert intervention. The reliability determination unit uses内置 algorithms and criteria to autonomously evaluate diagnostic parameters, assigning reliability scores and filtering data quality issues independently, thereby reducing operational complexity while maintaining high diagnostic precision.
3Ease of operation
If automated reliability determination is implemented, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The automated reliability determination system operates autonomously without requiring user configuration or expert knowledge. The system automatically acquires diagnostic parameters, evaluates their reliability using predefined criteria, and presents filtered results to users, making the operation extremely convenient while the complexity is confined to the background processing architecture.
Solution Approach 2:
The patent segments the complex processing system into distinct functional modules: parameter acquisition unit, reliability determination unit, and diagnosis output unit. This modular segmentation allows each component to perform its specific function independently, making the overall system easier to operate while managing complexity through clear functional separation and standardized interfaces between modules.
Data Source
AI summary
Convenience in deterioration diagnosis of servo system is enhanced. A diagnosis parameter used for the deterioration diagnosis includes at least one of a control value used for controlling servo system, a detection value output from sensor that detects a state of servo system, and a generation value generated from the control value or the detection value. Data processing system includes acquisition part, reliability determination part, and a reliability output part acquires the diagnostic parameter. Reliability determination part gives information regarding reliability of the diagnostic parameter to the diagnostic parameter. The reliability output part outputs the information regarding the reliability to a presentation device (display device) in association with the diagnostic parameter.