Fully-virtual development and testing environment for algorithms for drive or gateway or both in combination
A virtual development and testing environment for machine learning algorithms addresses the inefficiencies of real hardware dependencies by using simulated drives and gateways, facilitating efficient and flexible algorithm testing and development.
WO2025195826A1 Publication Date: 2025-09-25ABB (SCHWEIZ) AG
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Patent Information
- Application Number
- PCT/EP2025/056459
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-03-21
- Filing Date
- 2025-03-10
- Publication Date
- 2025-09-25
AI Technical Summary
Technical Problem
The development and testing of machine learning algorithms are time-consuming and error-prone due to the need for real hardware and synchronized availability of testing locations and operators, leading to inefficiencies and dependency on testing laboratories.
Method used
A fully-virtual development and testing environment for edge gateway and control unit container applications, utilizing virtual drives and gateways, allowing for hardware-free testing and development of machine learning algorithms through simulated environments.
Benefits of technology
Enables efficient, hardware-free development and testing of machine learning algorithms, reducing manual work, eliminating dependency on testing laboratories, and allowing frequent algorithm changes without hardware constraints.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention relates to a method, for obtaining at least one output drive parameter associated with a drive application at a virtual drive in an industrial context, the method comprising obtaining (S310), at a cloud server or at a gateway, data indicative of the at least one output drive parameter from a machine learning, ML, model applied on the drive application at the virtual drive.
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