Algorithm Replacement Selection Using Execution Context
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Selecting a suitable replacement algorithm for industrial assets is a time-consuming, expensive, and error-prone process, especially when dealing with complex algorithms that perform differently under various operating conditions, and there are numerous algorithms to evaluate.
Innovation Solution
A system that includes an algorithm selection platform accessing information from an available algorithm data store, comparing algorithm metadata with current execution requirements, determining algorithm execution context information, and automatically selecting potential replacement algorithms based on this context for evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual testing and evaluation of algorithms is performed, then algorithm performance can be improved, but the process becomes time-consuming and expensive
Solution Approach 1:
The system enables algorithms to evaluate and replace themselves through automated context analysis and performance comparison, eliminating the need for manual human testing and intervention in the algorithm selection process
Solution Approach 2:
The patent replaces manual human evaluation (mechanical process) with an automated computational system that uses context information and performance metrics to objectively assess and select algorithms, thereby reducing time and cost while maintaining or improving reliability
2Measurement precision
If comprehensive evaluation of numerous algorithms is conducted, then selection accuracy can be improved, but system complexity increases
Solution Approach 1:
The system segments the algorithm evaluation process into distinct components: context information determination, performance metric collection, comparison logic, and selection decision-making. This modular approach allows comprehensive evaluation of numerous algorithms while managing system complexity through organized, reusable evaluation modules
Solution Approach 2:
The patent creates a universal algorithm evaluation platform that can assess multiple algorithms across different contexts using the same framework and metrics. This multi-functional system handles diverse algorithm types and evaluation criteria through a unified approach, improving selection accuracy without proportionally increasing complexity
3Adaptability or versatility
If context-specific algorithm selection is implemented, then algorithm performance under varying conditions can be improved, but the difficulty of detecting and measuring appropriate context increases
Solution Approach 1:
The system introduces context information as an intermediary layer between the algorithm and its execution environment. This intermediary captures relevant environmental conditions, data characteristics, and operational parameters, making implicit context explicit and measurable, thereby enabling context-specific algorithm selection without directly confronting the complexity of environmental detection
Data Source
AI summary
According to some embodiments, an available algorithm data store may contain information about a pool of available algorithms. An algorithm selection platform coupled to the available algorithm data store may access the information about the pool of available algorithms and compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the real environment. The algorithm selection platform may then automatically determine algorithm execution context information and, based on said comparison and the algorithm execution context information, select at least one of the pool of available algorithms as a potential replacement algorithm. An indication of the selected at least one potential replacement algorithm may then be transmitted (e.g., to be evaluated in a shadow environment by an algorithm evaluation platform).