Centralized Study Selection Platform for Engineering Project Testing
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Solution Overview
Problem
Identifying and performing appropriate studies for engineering projects is challenging due to complex requirements, competing constraints, and uncertain operating environments, leading to subjectivity, time consumption, and potential errors in traditional methods.
Innovation Solution
A centralized platform that gathers project data, automatically selects applicable studies, builds models, and generates reports, enabling efficient and objective study selection and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional manual methods are used to identify and perform studies for engineering projects, then flexibility in handling complex requirements is maintained, but subjectivity, time consumption, and potential errors increase
Solution Approach 1:
The patent replaces manual mechanical processes of study identification with an automated computer-based system that uses algorithms to automatically identify, select, and execute studies based on project data, eliminating human subjectivity and time consumption while maintaining accuracy
Solution Approach 2:
The system enables self-service by automatically performing study identification and execution without requiring manual intervention, allowing the computer system to autonomously process project data, select appropriate studies, and generate results
2Reliability
If comprehensive testing processes are implemented to verify system performance and reliability, then safety and compliance are improved, but resource consumption and complexity increase
Solution Approach 1:
The patent segments the comprehensive testing process into distinct automated components: data extraction from project documents, automatic study identification based on extracted data, model selection and execution, and result generation. This segmentation reduces overall complexity while maintaining thoroughness
Solution Approach 2:
The system creates a universal automated platform that can handle multiple types of engineering projects and studies through a single integrated system, reducing the need for separate complex testing processes for different project types
3Productivity
If automated systems are used to identify and execute studies, then objectivity and efficiency are improved, but system complexity and initial resource requirements increase
Solution Approach 1:
The patent introduces an intermediary automated system that acts as a mediator between project data and study execution, using natural language processing and algorithmic matching to bridge the gap between unstructured project requirements and structured study protocols, simplifying the automation process
Data Source
AI summary
A method may include obtaining project information or data associated with a project. One or more variables associated with the project may be identified based on the project information. One or more studies applicable to the project may be selected based on the one or more variables. One or more models associated with the one or more studies may be run using the one or more variables. In some embodiments, a report including results of each study of the one or more studies based on the results of running the one or more models may be generated.