目的 解决生产扰动给混单包装线带来的交货期延误、成本额外增加等问题。方法 将传统的混单包装线物联网化，实现生产资源的实时感知，及时获取生产现场的真实信息;面向物联型混单包装线的生产环境，基于数字孪生体系构建起物理世界与数字世界的联系，通过物联网的实体感知和网络的信息传输形成孪生数据集，建立孪生数据驱动的混单包装线多工位联动优化的信息架构;依据包装任务的工序约束，建立起多个工位的动态关联，实现工位间生产信息的实时协调，进而通过算法实现工位任务队列的联动式智能优化。结果 通过在某摩托车外胎包装生产线上的应用，优化后工序任务队列的目标函数值相比最高值下降了36.1%，验证了文中提出的物联型混单包装线多工位联动优化方法的有效性和可行性。结论 文中提出的混单包装线物联网化能为智能制造的实时提供硬件支撑，基于数字孪生的多工位联动优化提供了智能化决策工具支持。

The work aims to solve the problems of delivery delay and extra cost caused by production disturbance to mixed-order packaging line. The traditional mixed-order packaging line was connected with Internet of things (IoT) to realize the real-time perception of production resources and timely obtain the real information of the production site. Oriented to the production environment of IoT-enabled mixed-order packaging line, the connection between physical world and digital world was constructed based on digital twin system, the twin data set was formed through entity perception of IoT and information transmission of network, and the twin data driven information architecture of multi-station synchronized optimization for IoT-enabled mixed-order packaging line was established. According to the procedure constraints of the packaging task, the dynamic association of multiple stations was established to realize the real-time coordination of production information among stations, and then the synchronized intelligent optimization of the task queue was realized through the algorithm. Through the application in a motorcycle cover-tyre packaging line, the objective function value of task queue decreased by 36.1% after optimization. The effectiveness and feasibility of the IoT-enabled multi-station synchronized optimization method proposed were verified. The IoT-enabled mixed-order packaging line proposed can provide hardware support for intelligent manufacturing in real time, and multi-station synchronized optimization based on digital twin provides intelligent decision-making tool support.