Beilai Technology and Flowfuse Node-Red Reached a Friendly Cooperation
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Beilai Technology and Flowfuse Node-Red Reached a Friendly Cooperation

Flowfuse Node-Red was successfully installed on the ARMxy industrial edge gateway BL340, providing a full-stack edge computing solution from hardware to software, with low power consumption, easy development, high security and scalability, especially suitable for IoT scenarios that require fast response and decentralized management
Mar 26th,2025 421 Views

Recently, our Beilai Technology has reached a friendly cooperation with Flowfuse to install Flowfuse Node-Red on the ARMxy series Industrial Edge Gateway BL340.
https://flowfuse.com/node-red/hardware/armxy-bl340/



Benefits of Collaboration Between ARM Edge Gateways and FlowFuse

The collaboration between ARM-based edge gateways and FlowFuse offers multiple advantages for IoT and edge computing scenarios, primarily reflected in the following aspects:


1. Low Power Consumption and Cost Optimization

  • ARM Architecture Advantages: ARM processors are renowned for their low power consumption and cost-effectiveness, making them ideal for large-scale edge node deployments.

  • FlowFuse Resource Management: FlowFuse optimizes Node-RED runtime resource usage, further reducing computational and storage demands, thereby extending the lifespan of edge devices.


2. Real-Time Data Processing Capabilities

  • Localized Edge Computing: ARM gateways process data directly at the source, while FlowFuse’s visual flow programming (Node-RED) enables rapid development of real-time data processing logic, minimizing reliance on cloud resources.

  • Low-Latency Response: Suitable for scenarios requiring millisecond-level responses, such as industrial control and smart security systems.


3. Enhanced Development and Operational Efficiency

  • Visual Programming: FlowFuse’s Node-RED interface simplifies edge application development, lowering the barrier to entry.

  • Centralized Management: Enables remote bulk deployment, monitoring, and updates of application logic across multiple ARM gateways via the FlowFuse platform, reducing operational costs.


4. Scalability and Flexibility

  • Edge Node Expansion: ARM gateways easily scale in hardware, while FlowFuse supports dynamic device additions and unified management to accommodate business growth.

  • Hybrid Architecture Support: Data can be preprocessed at the edge and selectively uploaded to the cloud, enabling cloud-edge collaboration.


5. Security and Reliability

  • Edge-Side Data Privacy: Sensitive data is processed locally, reducing exposure risks during network transmission.

  • FlowFuse Enterprise-Grade Security: Provides user access controls, encrypted communication, and version rollback capabilities to enhance edge application security.


6. Rapid Deployment and Iteration

  • Modular Application Building: FlowFuse’s flow templates allow quick replication across ARM gateways, accelerating project implementation.

  • OTA Updates: Remote deployment of new features or security patches ensures continuous system iteration.


7. Ecosystem Compatibility

  • ARM Hardware Ecosystem: Compatible with diverse ARM-based sensors, actuators, and existing IoT devices.

  • FlowFuse Open Integration: Supports industrial protocols (e.g., MQTT, OPC UA) and integrates with cloud platforms like AWS and Azure.


Typical Use Cases

  • Industrial IoT (IIoT): Real-time production line monitoring, predictive maintenance.

  • Smart Cities: Traffic flow analysis, environmental monitoring.

  • Energy Management: Distributed energy device control, energy efficiency optimization.


Conclusion

The combination of ARM edge gateways and FlowFuse delivers a full-stack edge computing solution spanning hardware and software. It balances low power consumption, ease of development, high security, and scalability, making it particularly suitable for IoT scenarios requiring rapid response and decentralized management. This collaboration significantly reduces the complexity and costs of enterprise digital transformation.

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