Structured Inspection Data System for Consistent Observation Records
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Solution Overview
Problem
Inspection reports across different sites and inspectors are often inconsistent due to varying amounts and details of observational information, making it difficult to compare and standardize the data.
Innovation Solution
A system and method for generating inspection data prior to an inspection, which includes location and component attributes, observation codes, and their relationships, guiding inspectors to create consistent data entry forms and records through a structured format, using computers and databases to ensure uniformity across multiple inspections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If inspectors collect observational information freely without predefined structures, then the flexibility and adaptability of inspection records are improved, but the consistency and comparability of data across different inspections deteriorate
Solution Approach 1:
The system performs preliminary action by pre-defining inspection templates, data structures, and observation categories before the actual inspection takes place. This allows inspectors to work within a standardized framework that ensures consistency across different inspections while still allowing flexibility in selecting and filling in specific observations relevant to each site.
Solution Approach 2:
The system changes parameters by transforming unstructured free-text observations into structured data with defined parameters, categories, and relationships. This enables consistent data collection across different inspectors and sites while maintaining the ability to capture diverse observational information through configurable templates.
2Loss of information
If inspectors record detailed observational information for every category and component, then the completeness of inspection records is improved, but the time and complexity required to complete inspections increases
Solution Approach 1:
The system applies segmentation by dividing the inspection process into manageable components and categories (e.g., location attributes, component attributes, observation codes). Inspectors can systematically work through segmented sections rather than attempting to record all information in one unstructured process, improving both completeness and efficiency.
Solution Approach 2:
The system achieves universality through standardized templates and data structures that can be applied across different inspection types and sites. Once a template is configured, it can be reused multiple times, reducing the time required for each inspection while maintaining comprehensive data collection through the universal framework.
3Ease of operation
If different inspectors use their own methods for recording observations, then the ease of operation for individual inspectors is improved, but the difficulty of comparing and standardizing data across inspections increases
Solution Approach 1:
The system introduces an intermediary layer in the form of standardized templates, data entry forms, and processing algorithms that mediate between the inspector's observations and the final recorded data. This intermediary structure simplifies the inspector's task by providing clear guidance while simultaneously standardizing the output for easy comparison and analysis.
Data Source
AI summary
A method and system for generating and using inspection data is disclosed. Prior to an inspection, inspection data is generated which includes location and component attributes, observation codes, and relationships between the location and component attributes and observation codes. During an inspection, an inspector accesses the inspection data to generate a data entry form which reflects the attributes, observation codes, and the relationships chosen during the inspection data generation. The inspector uses the data entry form to generate an inspection record having a structure based on the predefined inspection data.