Virtual Reality Storage System Simulation with Machine Learning
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Solution Overview
Problem
Human errors by service providers and IT technicians in data centers, particularly in storage systems, lead to significant downtime, data loss, and increased costs due to lack of proper training and access to up-to-date equipment and training materials.
Innovation Solution
A system utilizing a virtual reality environment with a machine learning model to simulate storage systems, translating action alerts into event states, and generating new events to guide technicians through simulations, reducing the need for physical equipment access and ensuring training is aligned with the latest 'lessons learned'.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If technicians receive traditional training with physical equipment and recorded sessions, then they can learn basic procedures, but the training is inefficient, outdated, and requires access to physical labs and latest training materials
Solution Approach 1:
The patent creates a virtual reality copy of the physical storage system environment, allowing technicians to practice procedures in a simulated setting that replicates real equipment behavior without requiring access to actual physical labs or latest training materials
Solution Approach 2:
The system performs preliminary analysis of technician actions using machine learning to predict potential errors before they occur, providing real-time guidance and feedback to prevent mistakes before they happen rather than correcting them after the fact
2Ease of operation
If technicians work with complex storage systems and wiring schemes, then they can service real equipment, but confusion and errors increase due to multiplicity of products and procedures
Solution Approach 1:
The system continuously monitors technician actions in the virtual environment and provides real-time feedback through the machine learning model, alerting technicians to potential errors and guiding them through correct procedures to prevent confusion from complex systems
Solution Approach 2:
The virtual reality system acts as an intermediary between the technician and the complex storage system, simplifying the interaction by presenting information in an intuitive visual format and filtering out unnecessary complexity while maintaining procedural accuracy
3Productivity
If technicians lack access to latest training materials and lessons learned, then training costs and lab requirements decrease, but technician competence and ability to handle latest equipment decrease
Solution Approach 1:
The virtual reality training system serves multiple functions simultaneously: it provides procedural training, delivers latest lessons learned, simulates current equipment configurations, and offers continuous practice opportunities, all within a single platform that can be updated remotely without requiring physical lab access
Data Source
AI summary
Techniques are disclosed for machine learning optimized storage system simulation in a virtual environment. For example, a system includes at least one processing device including a processor coupled to a memory; the at least one processing device being configured to implement the following steps: receiving a series of action alerts from a virtual reality system concerning a virtual reality representation of a storage system; translating each action alert in the action alert series into a corresponding storage system simulator event state, to generate a series of event states; using a machine learning model to determine a new event state based on the series of event states; generating a new event based on the new event state and on the series of event states; and updating a storage system simulation corresponding to the virtual reality representation of the storage system to display the new event in the virtual reality system.