【摘要】 针对经管类实验室设备调度低效、资源匹配失准、多角色协同不畅的问题，融合物联网与大数据技术，构建了多智能体驱动的经管类实验室“人-机-物”协同管理机制。部署了设备管理、预约调度、安全监控、需求匹配四大智能体，通过自主协商、任务分配、协同决策，形成全要素管理闭环。以某高校“金融市场学”课程实验为案例，实践表明，该机制使核心设备利用率提升41.0%,资源匹配度提升45.0%,跨角色沟通响应时间缩短91.8%。该机制将多智能体系统引入经管类实验室管理场景，为高校经管类实验室智能化转型提供了可复制、可推广的解决方案。更多还原

【Abstract】 In response to the problems of inefficient equipment scheduling, inaccurate resource matching, and poor collaboration among multiple roles in management laboratories, driven by multi-agent a “human-machine-object” collaborative management mechanism for management laboratories was constructed by integrating IoT and big data technologies. Four intelligent agents, namely device management, reservation scheduling, security monitoring, and demand matching, were deployed to form a comprehensive management loop through autonomous negotiation, task allocation, and collaborative decision-making. The “Financial Markets” course experiment at a university was taken as a studying case. Practice shows that this mechanism increases the utilization rate of core devices by 41.0%, improves resource matching by 45.0%, and shortens cross role communication response time by 91.8%. This mechanism introduces multi-agent systems into the management scenario of management laboratories, providing a replicable and scalable solution for the intelligent transformation of university management laboratories.更多还原