Remote IoT Sensor Monitoring via MQTT and InfluxDB
This workflow implements the real-time reception of temperature and humidity data from a remote DHT22 sensor via the MQTT protocol, automatically formats the data, and writes it into a local InfluxDB time-series database. This process efficiently subscribes to sensor data, ensures that the data complies with database writing standards, and addresses the automation of data collection and storage for IoT sensors. It enhances the timeliness and accuracy of the data, facilitating subsequent analysis and monitoring. It is suitable for fields such as IoT development, environmental monitoring, and smart manufacturing.
Workflow Name
Remote IoT Sensor Monitoring via MQTT and InfluxDB
Key Features and Highlights
This workflow enables real-time reception of temperature and humidity data collected by a DHT22 sensor connected to a remote ESP32 microcontroller via the MQTT protocol. After formatting, the data is automatically written into a locally deployed InfluxDB time-series database. The core highlight lies in efficiently subscribing to sensor data using an MQTT trigger node combined with custom JavaScript code to ensure the data structure complies with InfluxDB’s write protocol, achieving seamless data flow from IoT devices to the database.
Core Problems Addressed
Automates the collection and storage of remote IoT sensor data, eliminating the need for manual data retrieval and conversion. This improves data timeliness and accuracy, facilitating subsequent data analysis and monitoring.
Application Scenarios
- Remote environmental monitoring in smart homes or industrial settings
- Real-time collection and storage of IoT device status data
- Scenarios requiring continuous writing of sensor data into time-series databases for historical records and trend analysis
- Rapid prototyping of temperature and humidity monitoring systems
Main Workflow Steps
- Remote Sensor MQTT Trigger node subscribes to the MQTT topic
wokwi-weather, receiving real-time temperature and humidity data from the DHT22 sensor on the ESP32. - Payload Data Preparation Node uses JavaScript to parse and format the MQTT message, ensuring the data conforms to InfluxDB’s line protocol format, e.g.,
topic humidity=45,temp=22. - Data Ingest to InfluxDB Bucket node sends the formatted temperature and humidity data to the local InfluxDB database’s specified bucket via HTTP POST request, achieving persistent data storage.
Involved Systems or Services
- MQTT Broker (Mosquitto): Handles publishing and subscribing of sensor data messages
- ESP32 Microcontroller: Equipped with DHT22 sensor for environmental data collection
- InfluxDB: Locally deployed time-series database for storing and querying sensor data
- n8n Automation Platform: Orchestrates the entire data flow automation and processing
Target Users and Value
Ideal for IoT developers, smart manufacturing and environmental monitoring engineers, data analysts, and automation enthusiasts. This workflow enables users to quickly implement automatic remote sensor data acquisition, formatting, and storage, reducing system integration complexity and enhancing data processing efficiency. It provides a solid data foundation for real-time monitoring and data analysis downstream.