¶ Summary
A need arises to create an optimized workflow within a WYSIWYG editor that allows users to combine manual tasks with automated, real-time activities triggered by external IoT signals.
The objective is to design a system where workflows can be easily built and modified visually, integrating both human-driven steps and IoT-triggered events seamlessly and reliably.
The workflow editor is enhanced to support conditional logic and event listeners tied to external IoT signals. A real-time integration layer is implemented to capture and relay IoT data to the editor, ensuring smooth synchronization between manual and automated steps. Usability improvements focus on making IoT triggers intuitive within the visual design, minimizing technical complexity for end users.
The final system enables users to build and manage complex workflows effortlessly, blending manual actions with responsive IoT-triggered processes—resulting in improved automation, flexibility, and operational efficiency.
¶ Demo
¶ Simulation video - manual triggers
¶ summary
Below is the simulation in Camunda of a BPMN2 process model defined for cooking the popular Italian dish "Cacio e Pepe" - a recipe with just three ingredients but challenging in terms of coordination.
The model is designed with one swimlane for each key ingredient and workplace.
There are SEVEN occasions in which the cook is expected to make a judgement and set the completion of a task or a wait.
¶ video
¶ Simulation video - external triggers (via REST API)
¶ configuration
in this demo,
- Camunda 7 is self-hosted on the cloud.
- the model is designed with Camunda Modeler
- the model is deployed on Camunda via REST API
- the process is started via REST API
- a few TASKS are designed with SIGNAL BOUNDARY EVENTS and they wait on signals that are sent from outside via the Camunda REST API:
- extsig_waterboils
- extsig_aldente
- extsig_creamy
- extsig_safe2
¶ video
¶
back to Portfolio
