Semiconductor inventory equipment maintenance system and method
By using mixed reality technology and deep learning models, a virtual perspective model of semiconductor storage equipment is generated, highlighting the location and cause of faults. This solves the problem that operators have difficulty in quickly locating and handling faults in existing technologies, and improves equipment maintenance efficiency and display effects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU XINSHINUO SEMICON EQUIP CO LTD
- Filing Date
- 2024-12-31
- Publication Date
- 2026-06-12
AI Technical Summary
When existing semiconductor material storage equipment malfunctions or alarms, it requires professional personnel to inspect and handle the situation. Operators often find it difficult to intuitively and quickly understand the location and cause of the fault, which affects equipment maintenance efficiency.
Using mixed reality technology, a virtual perspective model of semiconductor storage equipment is generated through MR devices to highlight the location and cause of faults and provide troubleshooting solutions. The fault type is identified by combining a deep learning model, and the display effect is improved by using generative adversarial networks and texture mapping technology.
Operators can intuitively determine the location and cause of the fault, quickly handle the fault, improve maintenance efficiency, reduce the requirement for professional knowledge, and enhance the display effect and imaging quality.
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