Inspection Analysis System Using Operation Data Prediction
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Solution Overview
Problem
Existing industrial endoscope inspection systems lack efficient methods to analyze user operations and predict the state of inspection targets based on historical inspection data.
Innovation Solution
An inspection analysis method and system that analyze user operations by generating first and second operation data, comparing these data to predict the state of the inspection target, and outputting state information for reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image data is transmitted to the server for analysis, then the inspection result can be analyzed accurately, but the data transmission cost increases and confidentiality is reduced
Solution Approach 1:
The patent extracts only the necessary operation data (insertion amount, bending amount, bending times number) from the complete inspection process, separating these essential parameters from unnecessary image data. This extraction approach enables accurate inspection analysis while minimizing data transmission requirements and associated costs.
Solution Approach 2:
Instead of transmitting image data to the server for analysis (conventional approach), the patent inverts the approach by having the server analyze operation data and generate inspection results, which are then transmitted back to the endoscope device. This inversion reduces transmission data volume while maintaining analysis accuracy.
2Measurement precision
If image data is transmitted to the server for analysis, then the inspection result can be analyzed accurately, but the confidentiality of inspection information is reduced
Solution Approach 1:
The patent extracts only the necessary operation data (insertion amount, bending amount, bending times number) from the complete inspection process, separating these essential parameters from sensitive image data. This extraction approach enables accurate inspection analysis while minimizing data transmission requirements and associated costs.
Solution Approach 2:
Instead of transmitting image data to the server for analysis (conventional approach), the patent inverts the approach by having the server analyze operation data and generate inspection results, which are then transmitted back to the endoscope device. This inversion reduces transmission data volume while maintaining analysis accuracy.
3Measurement precision
If operation data from multiple inspections is collected and compared, then the prediction accuracy of inspection target state improves, but the device complexity increases
Solution Approach 1:
The patent performs preliminary organization of operation data by inspection target during data collection, pre-grouping data by target identifier. This preliminary action simplifies subsequent comparison operations between inspections, reducing processing complexity while enabling accurate state prediction through historical data analysis.
Solution Approach 2:
The patent transforms raw operation data into standardized parameters (insertion amount, bending amount, bending times number) that can be directly compared across different inspections. This parameter standardization simplifies the comparison process and enables accurate prediction without requiring complex data processing algorithms.
Data Source
AI summary
An inspection analysis method includes an analysis step, a prediction step, and an output step. A processor analyzes inspection information related to an operation in an inspection and generates first operation data and second operation data indicating a content of the operation in the analysis step. The first operation data indicate a content of the operation in a first inspection. The second operation data indicate a content of the operation in a second inspection performed after the first inspection is completed. The processor compares the first operation data and the second operation data with each other and predicts a state of an inspection target in the prediction step. The processor outputs state information indicating the state to a reporting device in the output step.


