Weather-Based Test Case Scheduling for Asset Reliability
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Solution Overview
Problem
Current product lifecycle management systems lack the ability to dynamically adjust test case execution based on weather conditions, leading to incomplete testing of assets under varying operating conditions.
Innovation Solution
A method and system that utilize weather information to identify and schedule test cases for assets at specific locations, generating additional test cases if necessary, to ensure comprehensive testing across various weather conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If test cases are executed without considering weather conditions, then testing can proceed regardless of environmental factors, but test coverage remains incomplete for assets that require specific weather conditions
Solution Approach 1:
The system performs preliminary actions by obtaining weather forecasts and historical weather data before scheduling test cases. Weather information is retrieved in advance, and test cases are selected based on predicted weather conditions, ensuring that assets are tested under appropriate environmental conditions without last-minute adjustments
Solution Approach 2:
The system dynamically adjusts test scheduling based on weather conditions. Test cases are selected and scheduled adaptively according to forecasted weather and historical data, allowing the testing process to respond to changing environmental conditions rather than following a fixed schedule
2Reliability
If test cases are scheduled based on weather information, then test coverage under varying weather conditions is improved, but additional data processing and scheduling complexity increases
Solution Approach 1:
The system performs multiple functions using a unified approach: it obtains weather forecasts, retrieves historical weather data, identifies suitable test cases, and schedules executions all through a single integrated process. This multi-functional system handles diverse tasks (data collection, analysis, selection, and scheduling) without requiring separate specialized systems for each function
Solution Approach 2:
The system changes parameters by incorporating weather-related parameters (temperature, precipitation, wind conditions) into the test scheduling process. Test cases are selected based on matching weather parameters, and execution timing is adjusted according to these parameters, transforming the scheduling from a static process to one that responds to environmental variable changes
3Reliability
If weather data is integrated into test scheduling, then testing under predicted weather conditions is enabled, but data acquisition and processing time increases
Solution Approach 1:
Weather forecasts and historical data are obtained in advance before test scheduling begins. This preliminary data acquisition allows the system to have weather information ready when selecting and scheduling test cases, reducing the time required during the actual scheduling phase
Solution Approach 2:
The system efficiently processes weather data by directly matching forecasted conditions with required test case conditions without excessive analysis. Once suitable test cases are identified based on weather parameters, the scheduling proceeds rapidly through the remaining steps, minimizing overall processing time
Data Source
AI summary
Aspects of the present invention disclose a method, computer program product, and system for generating scheduling information for performing test cases for an asset at a location based on weather information. The method includes one or more processors receiving a set of parameters for an asset. The set of parameters including a test case set for the asset and an indication of a testing location for the asset. The method further includes one or more processors determining weather information associated with the indicated testing location. The method further includes one or more processors identifying a test case in the test case set that includes a weather variable that corresponds to weather present in the determined weather information of the indicated testing location. The method further includes one or more processors scheduling execution of the identified test case, at the indicated testing location, based on the determined weather information.