Virtual Load Test for Asset Data Platform
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Solution Overview
Problem
Current load testing methods for assets, which involve bringing them to a repair shop for simulated load conditions, are costly, labor-intensive, and prone to inaccuracies due to human error, and fail to accurately simulate real-world load conditions, especially those experienced during motion.
Innovation Solution
A virtual load testing system that uses an asset data platform to collect and analyze operating data from assets equipped with sensors and actuators, allowing for real-time monitoring and reporting of load conditions, defining acceptable value ranges based on historical data, and conducting virtual load tests to determine if assets operate within these ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If load testing is conducted at a repair shop with simulated load conditions, then the asset can be evaluated under controlled conditions, but the testing costs increase, downtime increases, and the accuracy of simulating real-world conditions decreases
Solution Approach 1:
The patent creates a virtual copy of the load testing process by using digital twins and simulation models. Instead of physically transporting the asset to a repair shop for testing, the system creates a virtual representation that can be tested under various load conditions digitally, eliminating the need for physical asset movement and associated downtime while maintaining testing accuracy.
Solution Approach 2:
The patent replaces the mechanical physical testing system with a computational virtual testing system. Rather than applying physical loads to the actual asset at a repair shop, the system uses computer simulations and digital models to apply virtual loads, substituting mechanical testing infrastructure with software-based solutions that eliminate asset downtime.
2Measurement precision
If human technicians conduct load tests at a repair shop, then the asset can be manually evaluated, but labor costs increase and human error reduces measurement accuracy
Solution Approach 1:
The patent implements self-service load testing where the asset's own sensors and embedded systems automatically collect and transmit operational data to the virtual testing platform. The system performs self-diagnosis and self-evaluation through automated algorithms, eliminating the need for human technicians to manually conduct tests and reduce human error while maintaining comprehensive evaluation accuracy.
Solution Approach 2:
The patent incorporates continuous feedback loops where sensor data from the asset is automatically collected, analyzed, and used to adjust the virtual load testing parameters in real-time. This automated feedback mechanism replaces human technician judgment with algorithmic analysis, eliminating human error while providing comprehensive and accurate asset evaluation.
3Reliability
If the asset is brought to a repair shop for load testing, then the test can be conducted with diagnostic tools, but fuel costs and emissions increase
Solution Approach 1:
The patent creates a virtual copy of the diagnostic testing process that can be performed remotely. Instead of physically transporting the asset to a repair shop equipped with diagnostic tools, the system uses digital twins and remote connectivity to replicate the diagnostic capabilities virtually, eliminating the need for asset transport and associated fuel consumption while maintaining full load test capability.
Solution Approach 2:
The patent introduces a virtual testing platform as an intermediary between the asset and the diagnostic evaluation process. This digital intermediary enables comprehensive load testing and diagnostic capabilities to be performed remotely through data transmission, eliminating the need for physical asset movement to repair shops and the associated fuel costs and emissions.
4Adaptability or versatility
If conventional load testing is performed at a repair shop, then the asset can be tested under simulated conditions, but the ability to simulate real-world motion conditions is limited
Solution Approach 1:
The patent implements dynamic virtual load testing where the simulation parameters can be continuously adjusted and modified based on real-world operational data. The virtual testing environment can dynamically adapt to simulate various motion conditions, terrain types, and operational scenarios that would be impossible to replicate in a static repair shop environment, greatly expanding the range of testable conditions without increasing physical infrastructure complexity.
Data Source
AI summary
Computing systems, devices, and methods for performing a virtual load test are disclosed herein. In accordance with the present disclosure, an asset data platform may define a respective range of acceptable values for each load-test variable in a set of load-test variables. The asset data platform may then receive one or more under-load reports from a given asset, and carry out a virtual load test for the given asset by, performing a comparison between the respective observation value for the load-test variable included in the most recent under-load report and the respective range of acceptable values for the load-test variable. In turn, the asset data platform may identify load-test variables for which the respective observation value falls outside of the respective range of acceptable values, and may then cause a client station to present results of the virtual load test for the given asset.