Generate Factory Sensor Data & Queue in AMQP

This workflow simulates factory sensor data generation every second, including temperature, uptime, and timestamps, then queues it via AMQP for real-time processing in factory monitoring systems.

This n8n workflow automates the generation of synthetic factory sensor data, mimicking real IoT devices in a manufacturing environment. It uses an Interval node to trigger execution every second, a Set node to create randomized data points such as machine ID, temperature in Celsius (0-99), uptime, and current timestamp, and an AMQP Sender node to publish the data as raw messages to a specified queue like 'berlin_factory_01'. The primary benefit is enabling rapid prototyping and testing of downs
Platform
n8n
Category
Finance & Accounting
Price
$5.99
Creator
Arjun Radu

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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