This paper describes a framework for web-based monitoring, orchestration and simulation for industrial settings such as highly automated factories and warehouses. HTML5 is used for a 2.5D visualization with local prediction for smooth animation and 3D models for robot arms. The web server aggregates data from the devices for streaming to the web page, for generating situation reports, and enabling users to intervene as needed. Simulation is possible using simple looping sequences of actions. A cognitive architecture is described for richer behaviour that dynamically adapts to the context, decoupling reasoning from real-time control using asynchronous intents. Stochastic rules allow agents to escape from futile patterns of behaviour. Agents can control multiple devices. For a larger numbers of devices, control can be distributed across multiple agents in a way that decouples applications from the underlying protocols and addressing schemes. Iterative refinement is applied as new requirements come to light, e.g. to handle faults, or where humans have intervened in unexpected ways. The paper closes with a short summary of previous work and suggestions for future work on integrating generative AI to further simplify development and provide supervisory control.