MQTT Converter
Supports Modbus RTU on RS485 and RS232 – MQTT
Support Modbus TCP/IP – MQTT
Support BACnet MSTP on RS485 – MQTT
Support BACnet IP – MQTT
Using this Converter it is possible to gather data using Modbus / BACnet protocols from field devices and then push this to remote clients using MQTT protocol via an MQTT broker. The Converter can also be configured to subscribe to MQTT topics. This makes it possible for remote MQTT clients to write back commands/set points by publishing on the topics subscribed on the gateway.
The MQTT Converter provides a simple and secure way to connect industrial automation systems with cloud-based applications, IoT platforms, and enterprise software. It supports real-time data publishing, enabling operators to monitor equipment, receive status updates, and perform remote diagnostics from anywhere with internet access. By leveraging the lightweight MQTT protocol, the gateway minimizes network bandwidth while ensuring reliable communication even over low-bandwidth or unstable network connections. It is suitable for smart buildings, manufacturing plants, utilities, renewable energy systems, water treatment facilities, and remote infrastructure monitoring applications.
The gateway offers configurable topic structures, flexible data mapping, and support for multiple MQTT brokers, allowing seamless integration with popular cloud platforms and third-party applications. Historical and live process data can be published for visualization, analytics, predictive maintenance, and alarm management. The solution eliminates the need for extensive programming, making deployment quick and straightforward while preserving existing Modbus and BACnet installations. It also enables secure bidirectional communication between field devices and cloud applications, providing a scalable architecture for Industrial IoT (IIoT) deployments.
The converter supports scalable deployments across single-site and multi-site installations, enabling centralized monitoring, efficient asset management, faster decision-making, and improved operational efficiency through continuous real-time data availability.
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