An intelligent computer laboratory management method and system based on the Internet of Things

Abstract

The application discloses an intelligent computer laboratory management method and system based on Internet of Things, and relates to the technical field of computing power resource supervision and management. The method obtains terminal workstation space coordinates, physical network card addresses and cold aisle air supply characteristics based on digital mapping, converts computing power peaks into estimated heat equivalent, and collects personnel trajectory coordinates; the heat equivalent is mapped to generate an estimated heat island boundary, and the air supply characteristics are topologically compared to extract a heat dissipation margin, and the terminal with a positive remaining margin is reserved as a candidate node; target terminals are determined by comprehensively supervising business and security continuity, and an authorized code, a network card address and a trajectory coordinate are associated to generate a hardware-level access control list and distribute tasks; during the task running period, real-time heat island boundaries are reconstructed relying on digital twinning to extract heat dissipation attenuation gradients, and personnel dynamic deviation distances are calculated, and when heat penetration or off-line is indicated, the port is blocked and task live migration is scheduled. The system is used for realizing the above method.

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