Postgres Data Ingestion
This workflow automates the generation and storage of sensor data. Every minute, it generates data that includes the sensor ID, a random humidity value, and a timestamp, and writes this information into a PostgreSQL database. It effectively addresses the need for real-time data collection and storage, eliminates the need for manual intervention, and enhances the automation and accuracy of data processing. This workflow is widely applicable in monitoring systems and smart home applications within the Internet of Things (IoT) environment.
Workflow Name
Postgres Data Ingestion
Key Features and Highlights
This workflow implements scheduled simulation and automatic ingestion of sensor data into a PostgreSQL database. Triggered every minute, it dynamically generates data containing sensor ID, random humidity values, timestamps, and notification flags, efficiently storing them in a designated database table to ensure real-time data updates and persistence.
Core Problems Addressed
Automates the real-time collection and storage of sensor data, eliminating manual intervention and data loss, thereby enhancing the automation level and accuracy of data processing.
Application Scenarios
Suitable for IoT environments such as environmental monitoring systems, industrial equipment status tracking, and smart home sensor data collection. It is especially ideal for applications requiring periodic acquisition and storage of large volumes of sensor data.
Main Workflow Steps
- Cron Scheduled Trigger: Automatically initiates the data collection process every minute.
- Function Node Data Generation: Dynamically creates simulated data including sensor ID (humidity01), random humidity values, current timestamps, and notification status.
- Postgres Node Data Insertion: Inserts the generated sensor data into the specified table within the PostgreSQL database.
Involved Systems or Services
- PostgreSQL Database: Responsible for storing sensor data.
- n8n Cron Node: Triggers the workflow on a scheduled basis.
- n8n Function Node: Generates simulated sensor data.
Target Users and Value Proposition
Ideal for IoT developers, data engineers, automation operators, and enterprises requiring sensor data collection and storage. This workflow facilitates automated data acquisition and persistence, improving system operational efficiency and data management capabilities.