The penetration of Internet of things (IoT) in the production control of modern manufacturing workshop has prompted advanced intelligent and information-based manufacturing techniques. However, the relevant studies fail to collect and process the various manufacturing parameters in real time, and rarely consider the coordination between manufacturing workshop and machines. This paper explores the digital production control of manufacturing workshop based on the IoT. Firstly, block diagrams were drawn for IoT-based digital workshop production control and software design of digital production control system, and a multi-objective optimization model was established for IoT-based digital workshop production control, aiming to optimize delivery time, machine load, and machine utilization rate. Next, the order sequencing method was detailed for digital workshop production control. Finally, machine competency and collaborative efficiency were introduced as optimization objectives, and an IoT-based strategy was designed for collaborative allocation of sub-tasks for workshop production. Our method was proved effective through experiments.

Pervasive computing technology plays a key role for providing context information and offering context-aware services, which allows users to obtain digitized contents and services from wired and wireless networks virtually anywhere at any time via different handheld mobile devices. In this paper, we propose an agent-based context-aware middleware for pervasive computing environment, which is implemented in JADE agent platform and we integrated ontology and rulebased reasoning to automatically infer high-level contexts and deduce a goal of context-aware services. The middleware has been implemented as a distributed multi-agent system, which allows mobile agent delegating user's intent, roaming about the networks, searching proper resources, and supplying appropriate services for users. A Healthcare scenario demonstrates the detail functions of each agent and shows how these agents incorporate with each others.