Gas–IoT Integrated Training Equipment

  • Gas–IoT Integrated Training Equipment
  • Gas–IoT Integrated Training Equipment
Gas–IoT Integrated Training Equipment
Gas–IoT Integrated Training Equipment
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Product Description

In response to the national strategy for domestic chip substitution and to support learning in microcontroller and sensor applications, our company has independently developed a gateway‑node DTU based on the GD32 domestically produced core chip. Integrating the MQTT, Modbus, and Zigbee communication protocols, it provides an all‑in‑one solution for data acquisition, transmission, control, monitoring, and educational purposes. Comprehensive IoT-based Gas Training Equipment 。 Equipment Centered on gas‑management, the system simulates all household gas‑related scenarios, leveraging a proprietary cloud platform to enable real-time data monitoring and upload. It precisely controls devices such as flow meters, gas meters, and methane sensors, identifies potential safety hazards, and optimizes smart‑home configurations, thereby fostering two-way empowerment between industrial applications and educational practice.

I. Data Collection Functionality

Data acquisition is the project’s core foundation. Leveraging the GD32 microcontroller and the DTU’s multi‑protocol compatibility, it enables precise, multi‑dimensional data collection, preprocessing, and transmission in gas‑related applications. The system integrates three key devices—flow meters, gas meters, and methane sensors—and uses the MQTT protocol to encapsulate and forward data to a cloud platform, while also supporting scenario‑based data simulation to meet testing and learning requirements.

II. Reprogrammable Sexuality

A standardized programming interface is provided, enabling developers to flexibly adjust gateway parameters, device‑to‑device linkage logic, alert thresholds, and more—allowing for feature upgrades without hardware replacement, reducing iteration costs, and enhancing scalability. The project comes with comprehensive development documentation and sample applications, lowering the learning curve and integrating theory with hands‑on practice to support talent development.

III. Home Appliance Control (Windows, Range Hoods, etc.)

The project employs a dual-mode architecture—cloud‑based remote control combined with local device integration—enabling precise management of windows, range hoods, gas valves, and other appliances. This creates a closed-loop gas safety system, enhancing both convenience and security in the home. Leveraging the DTU’s multi‑protocol interoperability, the solution provides dual safeguards: automated interlocking and remote manual control.

IV. Data Visualization on the Cloud Platform

The project is equipped with a proprietary cloud platform that serves as the central hub for system data, control, and monitoring. It receives, parses, and stores various types of data in real time, supporting gas safety and energy‑consumption management while ensuring the timeliness and accuracy of data processing.

Tag list: Gas–IoT Integrated Training Equipment

In response to the national strategy for domestic chip substitution and to support learning in microcontroller and sensor applications, our company has independently developed a gateway‑node DTU based on the GD32 domestically produced core chip. Integrating the MQTT, Modbus, and Zigbee communication protocols, we have created a comprehensive IoT training device for gas applications that combines data acquisition, transmission, control, monitoring, and hands‑on learning into a single platform.

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