Smart Factory Data Generator & Sender
detail.loadingPreview
Generates random smart factory sensor data and sends it via AMQP.
About This Workflow
This workflow simulates the generation of real-time data from a smart factory machine. It uses an Interval node to trigger data generation at regular intervals, a Set node to create randomized machine ID, temperature, uptime, and timestamp, and finally, an AMQP Sender node to publish this data to a specified sink.
Key Features
- Interval Trigger: Configurable interval for data generation.
- Randomized Data: Generates dynamic values for temperature and uptime.
- Timestamping: Includes current timestamp for data points.
- AMQP Integration: Sends generated data to an AMQP broker.
How To Use
- Configure Interval: Set the desired interval for data generation in the 'Interval' node.
- Configure Set Node: Review and adjust the generated values in the 'Set' node if necessary. The
machine_id.nameis fixed, whiletemperature_celsiusandmachine_id.uptimeare randomized.time_stampcaptures the generation time. - Configure AMQP Sender: Provide your AMQP connection details and set the correct
sink(e.g., 'berlin_factory_01'). EnsuredataAsObjectis true for structured output.
Apps Used
Workflow JSON
{
"id": "322ff0ff-1ab9-44dd-8630-50dc93fd773e",
"name": "Smart Factory Data Generator & Sender",
"nodes": 28,
"category": "Data Generation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 322ff0ff-1ab9...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Generate Structured Metadata in Multiple Languages
Workflow to create structured metadata in both English and Chinese.
Generate Structured User Metadata with GPT-4
Creates CSV files containing structured mock user data generated by GPT-4.