Research on the Sharing and Dynamic Scheduling Mechanism of Vocational Training Instruments and Equipment Driven by Instrument Portrait
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Abstract
To address low sharing utilization and inefficient coordination of practical training instruments in vocational colleges, this paper proposes a platform-oriented governance and dynamic scheduling mechanism driven by an instrument portrait data foundation. The instrument portrait serves as a unified and auditable profile for each instrument, covering basic profile, technical specifications, operational availability, teaching usage, research linkage, industry service, and performance indicators. A lightweight data-governance scheme is adopted to ensure consistency, timeliness, and accountability of portrait updates by defining data sources, responsibilities, update triggers, and quality rules. On this basis, a rule-based and explainable scheduling engine models resource-call events, concurrency, and conflicts under institutional constraints such as access rules, teaching priority windows, maintenance and calibration restrictions, and service deadlines. An operating-status recognition microservice can be integrated as operational evidence to update portrait states and support exception-handling workflows, while an LLM-based assistant supports natural-language querying, rule explanation, and administrator suggestions. The framework improves transparency, coordination efficiency, and sharing governance for heterogeneous training equipment.
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