Smart Factory Data Generator

This workflow is ideal for:

• Manufacturing Engineers: Those looking to automate data collection from machines.
• Data Analysts: Professionals who need real-time temperature and uptime data for analysis.
• Factory Managers: Individuals who want to monitor machine performance and optimize operations.
• IoT Developers: Developers integrating machine data into larger systems or applications.

This workflow addresses the challenge of manually collecting machine data, which can be time-consuming and error-prone. By automating the data generation process, it ensures consistent and accurate data collection, allowing for better monitoring and decision-making.

1. Manual Trigger: The workflow can be initiated manually, allowing users to start data generation at their convenience.
2. Interval Node: This node triggers the workflow at specified intervals, ensuring regular data collection without manual intervention.
3. Set Node: This node generates random values for:
   • machine_id.name: Set to n8n_cr8
   • temperature_celsius: Randomly generated between 0 and 99
   • machine_id.uptime: Randomly generated between 0 and 99
   • time_stamp: Current timestamp in milliseconds.
4. AMQP Sender: The generated data is sent to the AMQP broker labeled berlin_factory_01 for further processing or storage.