Category: News

What is OPC UA?

OPC UA, short for Open Platform Communications Unified Architecture, is a communication protocol designed for industrial environments. It features cross-platform compatibility, high security, and structured data transmission.

Technical Features:

• Security: Supports encryption, signing, and user authentication, meeting industrial-grade security requirements.
• Data Modeling: Not only transmits data but also defines logical relationships of devices, such as the upper and lower limits of a temperature sensor or alarm rules.
• Real-Time Capability: Supports event-driven modes, enabling quick responses to device state changes.

What is MQTT?

MQTT, short for Message Queuing Telemetry Transport, is a lightweight publish/subscribe protocol designed for resource-constrained devices and low-bandwidth scenarios.

Technical Features:

• Lightweight and Efficient: Based on TCP/IP, with minimal data overhead, making it suitable for low-bandwidth networks.
• Flexibility: Uses a topic subscription model, allowing multiple devices to easily share data.
• Reliability: Supports QoS (Quality of Service) mechanisms to ensure reliable message delivery.

OPC UA Application Scenarios

Industrial Device Interconnection: In smart factories, OPC UA enables seamless communication between devices from different brands, such as PLCs (Programmable Logic Controllers), sensors, and robots.

• Supports complex data structures and device modeling, clearly displaying device states and hierarchical relationships.
• Meets the real-time demands of industrial control, such as triggering alarms immediately when a machine fails.

MQTT Application Scenarios

Large-Scale Industrial IoT Deployment: In industrial settings, thousands of sensors and devices use MQTT for data collection and transmission, sending real-time device status or environmental data to the cloud.

• Low bandwidth consumption, making it particularly suitable for remote or low-bandwidth networks.
• Provides a flexible subscription mechanism, supporting easy device scaling and adaptation to large-scale industrial device integration.

How to Choose?

Reasons to Choose OPC UA:

Multi-device interconnection in industrial settings, ensuring security and real-time capabilities.Complex data requiring device modeling and structured management. Factory or workshop device control and data integration. In such cases, OPC UA is more suitable.

Reasons to Choose MQTT:

Lightweight and efficient data transmission in large-scale IoT deployments. Poor network conditions or limited bandwidth. Quick reporting of simple messages, such as PLC, sensor, or device data to the cloud. In such cases, MQTT is more suitable.

Conclusion:

• For industrial interconnection, choose OPC UA to meet security, real-time, and complex scenario requirements.
• For rapid cloud integration, choose MQTT for its efficiency and lightweight design, suitable for simple IoT transmission needs.

So, which one to choose? It depends on your project goals! Both can also be used together to leverage their respective strengths!

In the field of industrial automation, PLCs have long been the core of control systems, valued for their high reliability and standardized programming. However, with the rise of Industry 4.0, edge computing, and AI technologies, the limitations of traditional PLCs—such as insufficient computing power, limited scalability, and difficulties in supporting complex protocol integration—are becoming increasingly apparent.
The ARMxy BL350 series embedded computer, based on the TI Sitara AM6254 processor, offers an innovative Industrial ARM PLC replacement solution for industrial automation, thanks to its high performance, flexibility, and industrial-grade design.

Technical Advantages of AM6254: Surpassing Traditional PLCs

The ARMxy BL350 series features the AM6254 chip, which adopts a heterogeneous architecture combining a quad-core ARM Cortex-A53 (1.4GHz) and a Cortex-M4F (400MHz). It delivers robust industrial performance with the following key strengths:

1. High-Performance Real-Time Control

Heterogeneous Multi-Core Design:

The Cortex-A53 runs Linux for complex logic (e.g., data analysis and HMI interaction).

The Cortex-M4F independently handles real-time tasks (e.g., fault detection and high-speed pulse counting), ensuring uninterrupted critical control.

Hardware Acceleration: Supports 1080P video encoding/decoding and 3D graphics rendering (OpenGL/Vulkan), making it ideal for vision inspection or HMI development.

2. Industrial-Grade Interfaces & Expandability

Modular I/O Design: Flexible configuration via X/Y-series expansion boards, supporting RS485, CAN, DI/DO, analog I/O (AI/AO), PT100 temperature sensing, and other PLC-standard functions.
Protocol Support: Built-in BLIoTLink protocol conversion software, compatible with Modbus, EtherCAT, OPC UA, MQTT, and more, enabling seamless integration with SCADA systems and IoT cloud platforms.

3. Harsh Environment Adaptability

Wide Temperature Range: Operates from -40°C to 85°C, tested for high/low-temperature startup.

EMC Compliance: Meets GB/T 17626 standards, with ESD immunity up to ±8kV and EFT immunity at 2kV, suitable for electromagnetically noisy factory environments.

Implementation Considerations & Limitations

1. Recommended Use Cases

Smart production lines requiring edge computing (e.g., AGV scheduling, EV charging stations).
Digital factories with multi-protocol integration (IT/OT convergence).

2. Areas Requiring Caution

Traditional PLC applications heavily reliant on IEC 61131-3 programming (may require logic migration).
Extreme reliability demands (e.g., nuclear safety controls) need further field validation.

The ARMxy BL350 series embedded computer, with its heterogeneous multi-core architecture, industrial expandability, and open software ecosystem, presents a compelling Industrial ARM PLC replacement solution. While it may not replace all PLC applications, it excels in scenarios demanding high computing power, customization, or protocol convergence—enabling smarter, more adaptable automation systems.
By selecting the right configuration, users can achieve performance comparable to high-end PLCs while reducing hardware costs. For industries seeking technological advancement, the BL350 is not just a PLC alternative but a future-ready intelligent control hub.

In the realm of smart homes, efficient, reliable, and flexible controllers are essential for device connectivity and intelligent management. Powered by Allwinner Technology’s T113-i dual-core processor, the ARMxy BL330 series ARM embedded computer stands out as an ideal cloud-connected gateway, offering a heterogeneous multi-core architecture, rich interfaces, and robust cloud integration capabilities. This makes it a high-performance control and data hub for smart home systems.

Multi-Core Architecture: A Powerhouse for Smart Home Tasks
The BL330 series integrates a T113-i dual-core ARM Cortex-A7 (1.2GHz), Xuantie C906 RISC-V, and HiFi4 DSP processors, enabling parallel processing of complex tasks:
Cortex-A7 Core: Runs Linux or Ubuntu systems, managing multi-threaded device communication, user interfaces, and backend services.
RISC-V Coprocessor: Handles low-power sensor data acquisition and preprocessing, such as temperature/humidity monitoring and energy consumption analysis.
HiFi4 DSP: Optimizes audio processing and voice recognition, empowering smart speakers and voice-controlled devices. This multi-core synergy ensures real-time responsiveness while balancing energy efficiency.

Flexible Expansion: Universal Interfaces for Home Device Connectivity
The BL330 supports I/O expansion through X-Series and Y-Series IO boards, adapting to diverse smart home devices:
X-Series IO Boards: Equipped with RS485, CAN, DI/DO interfaces for connecting smart lighting, motorized curtains, security sensors, and more.
Y-Series IO Boards: Integrate AI/AO, PT100 temperature sensing, relay control, and HVAC compatibility for energy management systems.
Wireless Modules: Built-in Mini PCIE slots for optional WiFi, Bluetooth, or 4G modules, enabling wireless networking and remote access.
This flexibility allows the BL330 to bridge ecosystems, supporting devices across brands and protocols.

Cloud-Connected Gateways: Seamless Cloud Integration and Remote Management
As a cloud-connected gateway, the BL330 achieves deep integration between devices and the cloud through:
Protocol Conversion and Cloud Platform Access
Remote Maintenance and Updates
Edge Computing and Local Data Processing

Developer-Friendly Ecosystem: Accelerating Smart Home Solutions
The BL330 offers a comprehensive software ecosystem and development support to shorten time-to-market:
Pre-installed Ubuntu and Qt Framework: Streamlines GUI development for custom control panels.
HiFi4 DSP Development Cases: Enhances voice interaction algorithms for superior user experiences.
Industrial-Grade Reliability: Tested for -40℃ to 85℃ operation and IP30 protection, ensuring long-term stability in home environments.

Application Scenarios
1, Whole-House Energy Management The BL330 collects photovoltaic data via Y-Series IO boards, optimizes energy storage strategies using cloud algorithms, and displays real-time consumption reports via mobile apps.
2, Smart Security System Connected to cameras and door/window sensors, the BL330 uses local DSP for motion detection, pushing alerts to the cloud via 4G and triggering alarms.
3, Voice Control Hub Integrated with offline voice recognition and cloud-based semantic analysis, it controls lights and HVAC systems with sub-200ms response latency.

1. Balance of High Performance and Low Power Consumption
Tri-Core Cortex-A7 Architecture: Enables multitasking capabilities for simultaneous data acquisition, communication, and edge computing, eliminating performance bottlenecks.
Power Efficiency: ARM architecture’s high energy efficiency suits long-term operation or battery-powered scenarios, reducing overall energy costs.

2. Rich Industrial-Grade I/O Interfaces

Versatile I/O Support: BL320 offers diverse interfaces (GPIO, DI/DO, AI/AO, RS-485, CAN, Ethernet, etc) to ensure compatibility with industrial devices (sensors, PLCs) and protocols.
Scalability: Modular design allows flexible expansion (e.g., Wi-Fi, 4G) to meet varying application needs.

3. Robust Industrial Environment Adaptability
High Reliability: Wide-temperature operation, EMI resistance, and dust/waterproof features ensure stability in harsh environments.
Real-Time Performance & Security: Hardware-level real-time processing meets industrial control requirements, with secure boot and encrypted communication for data protection.

Edge Computing Capabilities

Local Data Processing: The tri-core processor enables real-time analytics, filtering, and preprocessing, reducing reliance on cloud systems and minimizing latency/bandwidth usage.
Rapid Response: Local decision-making (e.g., anomaly alerts, device control) enhances responsiveness for time-critical applications.

Simplified Development and Maintenance
Software Ecosystem Support: Compatible with Linux and Ubuntu operating systems, and development tools for seamless custom application development.
Remote Management: Supports BLRAT software for remote configuration, monitoring, and troubleshooting

Typical Application Scenarios
1, Equipment Condition Monitoring: Real-time collection of vibration/temperature data for predictive maintenance of motors, pumps, etc.
2, Smart Factories: Integration with PLCs and robotic arms to build flexible production lines.
3, Energy Management: Monitoring electricity/water/gas consumption for efficiency optimization.
4, Remote Operations: Cloud-based management of distributed devices via 4G/Wi-Fi connectivity.

Consumer electronics are evolving rapidly, requiring embedded computing solutions that balance performance, power efficiency, and cost-effectiveness. The ARM-based SBC, powered by the NXP i.MX6Solo, provides an ideal platform for smart devices, portable multimedia players, and IoT-enabled home automation systems.
A leading smart home device manufacturer was looking for a compact, low-power, and cost-efficient computing solution for their next-generation smart control panel. The device needed to support a touchscreen interface, handle real-time data processing, and enable seamless connectivity with other smart home appliances.

Challenges Faced by the Manufacturer
Power Efficiency: The system needed to operate 24/7 without excessive energy consumption.
Graphical Performance: The smart panel required a smooth and responsive HMI (Human-Machine Interface) for user interactions.
Connectivity: Integration with Wi-Fi, Bluetooth to communicate with multiple IoT devices.
Cost Constraints: The manufacturer needed a cost-effective solution without sacrificing performance.

Solution: ARM-based SBC with i.MX6Solo
The ARM-based SBC powered by NXP i.MX6Solo, was chosen as the ideal solution due to the following reasons:
Low Power Consumption: The energy-efficient i.MX6Solo processor enabled continuous operation with minimal power draw.
Smooth Graphics Performance: Integrated GPU acceleration provided a seamless touchscreen experience for the control panel.
Extensive Connectivity Options: Built-in Wi-Fi, Bluetooth, and multiple I/O interfaces ensured compatibility with smart home ecosystems.
Optimized Cost & Scalability: The SBC’s modular design allowed easy integration into various smart home products.

Implementation & Results
After integrating the ARM-based SBC into their smart control panel, the manufacturer observed:
Reduction in Power Consumption, extending the lifespan of battery-powered models.
Enhanced User Experience, with a faster and more responsive touch interface.
Seamless IoT Integration, enabling real-time communication between smart appliances.
Faster Time to Market, thanks to the SBC’s ready-to-use hardware and software support.

The NXP i.MX6Solo-powered ARM-based SBC provided the perfect balance of performance, efficiency, and cost for advanced consumer electronics. Its versatility makes it an excellent choice for smart home systems, portable entertainment devices, and industrial touchscreens, ensuring a future-proof embedded computing solution.

In the era of rapid industrial automation and smart manufacturing, traditional PLCs remain central to industrial control systems. However, their limited computing power, closed architectures, and high expansion costs struggle to meet the demands of the Industrial Internet of Things (IIoT). ARMxy BL310 series embedded controller emerges as an ideal PLC alternative, combining high-performance ARM architecture, flexible I/O configurations, and industrial-grade reliability to empower enterprises in their digital transformation.

Why Choose the ARMxy BL310?
1. Powerful Core: NXP i.MX6ULL Industrial-Grade Processor
The BL310 is powered by NXP’s classic i.MX6ULL SoC, featuring an ARM Cortex-A7 core clocked at up to 800 MHz. Its multi-tasking capability and low-power design ensure efficient handling of complex algorithms. With an extended operating temperature range (-40°C to 85°C), the BL310 delivers stable performance in harsh environments such as high-temperature workshops or outdoor substations, meeting both performance and reliability requirements.

2. Flexible Expansion: Modular I/O Design
The BL310 supports X-series and Y-series expansion boards, enabling versatile signal interfaces:
X-series: RS485, RS232, CAN, GPIO, and more for seamless device connectivity.
Y-series: AI/AO analog I/O, RTD/TC temperature sensing, relay control, high-speed pulse counting, and IEPE piezoelectric acquisition for applications like sensor integration, actuator control, and energy monitoring. For example, the Y58 board enables direct thermocouple (TC) connectivity for precision temperature monitoring, while the Y95 board supports PWM output and pulse counting for motor speed regulation and position feedback.

3. Full-Stack Software Ecosystem: Accelerating IIoT Deployment
Protocol Compatibility: Built-in BLIoTLink software supports industrial protocols such as Modbus, OPC UA, and MQTT, ensuring seamless integration with SCADA systems and cloud platforms (e.g., AWS IoT, Alibaba Cloud).
Developer-Friendly: Pre-installed Linux OS, Node-RED for visual programming, and support for Python, Docker, and SQL streamline custom application development.
Remote Management: The BLRAT tool allows engineers to debug devices, update firmware, and perform remote maintenance, significantly reducing on-site service costs.

4. Industrial-Grade Durability and Certifications
The BL310 passes rigorous testing, including:
EMC Compliance
Environmental Resilience

The ARMxy BL310 series redefines industrial control boundaries with its high performance, modularity, and rugged design. Whether in smart manufacturing, energy systems, or rail transit, the BL310 delivers cost-effective, flexible solutions for digital transformation. For engineers seeking efficiency, openness, and future-proofing, this ARM-based controller stands as the ultimate PLC alternative.

As artificial intelligence (AI) technology rapidly evolves, the demand for high-performance, low-power embedded computing devices continues to grow. Shenzhen BEILAI Technology introduces an Arm-based embedded SBC powered by RK3588J, featuring exceptional computing power, versatile I/O interfaces, and efficient AI acceleration, making it the perfect choice for AI-driven applications.
The RK3588J is an advanced 8-core processor from Rockchip, featuring a 4x Cortex-A76 + 4x Cortex-A55 big.LITTLE architecture, with a clock speed of up to 2.4GHz. This powerful CPU delivers outstanding performance for AI applications such as deep learning, computer vision, and edge computing. Additionally, it integrates a Mali-G610 MP4 GPU and an independent NPU (Neural Processing Unit), offering up to 6 TOPS of AI computing power, significantly enhancing neural network inference speed.

How RK3588J Powers AI Applications
1. Computer Vision & Image Processing
With its built-in NPU and GPU, the RK3588J supports multiple deep learning frameworks, including TensorFlow, Caffe, PyTorch, and ONNX, making it highly efficient for object detection, facial recognition, autonomous driving, and security surveillance.
Use Cases: AI cameras, industrial vision inspection, smart retail (foot traffic analysis).

2. Machine Learning & Edge Computing
Thanks to its high-performance computing capabilities and low-power design, this SBC is ideal for edge devices, reducing data transmission latency, improving AI inference speed, and minimizing cloud dependency.
Use Cases: Smart healthcare (medical image analysis), industrial automation (defect detection), AI-driven drone navigation.

3. Speech Recognition & Natural Language Processing (NLP)
RK3588J supports multi-channel voice processing and leverages the NPU for intelligent speech recognition and synthesis, making it ideal for smart assistants, smart home systems, and in-car voice control.
Use Cases: Smart speakers, automotive AI voice assistants, customer service robots.

4. Multimedia Processing & AIoT Integration
With 8K video decoding (H.265/H.264/AV1, etc.) and multi-channel camera input support, the RK3588J is perfect for AI-powered video streaming analysis and remote surveillance. Its rich I/O interfaces (HDMI, MIPI, PCIe, USB 3.0, Gigabit Ethernet) enable seamless integration with IoT devices for intelligent data collection and processing.
Use Cases: Smart transportation (license plate recognition), smart cities (environmental monitoring), industrial IoT (predictive maintenance).

Why Choose BEILAI’s RK3588J-Based SBC?
High AI Computing Power: 8-core CPU + NPU (6 TOPS) + GPU for complex AI tasks
Versatile I/O Interfaces: Supports multiple peripherals for maximum compatibility
Low Power, High Efficiency: Ideal for long-term, stable AI edge computing applications
Industrial-Grade Reliability: Designed for harsh environments with wide-temperature support

In the era of Industry 4.0, seamless data acquisition and real-time connectivity are critical for optimizing industrial processes. The ARMxy BL340 series, an ARM based industrial controller developed by Shenzhen Beliai Technology, emerges as a robust solution tailored for Industrial Internet of Things (IIoT) applications. Combining high-performance computing, versatile interfaces, and industrial-grade reliability, this controller excels as a data acquisition terminal in demanding environments.
At its core, the ARMxy BL340 series leverages the Allwinner T507-H processor, featuring a quad-core ARM Cortex-A53 CPU clocked at up to 1.4GHz. With configurations of 8/16GB eMMC storage and 1/2GB DDR4 memory, it delivers efficient processing for complex tasks. The controller supports multiple operating systems, including Linux-RT, Ubuntu, and Android 10, ensuring flexibility for diverse application development.

Hardware Advantages for IIoT Data Acquisition
1, Rich Interface Ecosystem:
3x Ethernet Ports: Enable multi-protocol communication and edge computing capabilities.
Flexible I/O Expansion: Supports up to 1 X-series and 2 Y-series IO boards, accommodating RS485, DI/DO, AI/AO, PT100 sensors, and pulse counting.
Wireless Connectivity: Integrated Mini PCIe slot for 4G, WiFi, or Bluetooth modules, along with dual antennas for stable signal transmission.
4K Video Decoding: Hardware-accelerated 4K@30fps H.265 decoding supports visual monitoring in smart factories.

2, Industrial Durability:
Wide Temperature Range: Operates reliably from -40°C to +85°C, validated through rigorous environmental testing.
EMC Compliance: Meets GB/T and IEC standards for ESD, EFT, surge immunity, and vibration resistance (up to 2g acceleration).
IP30 Protection: Resists dust and minor physical intrusions, ideal for harsh industrial settings.

Software and Development Support
1, The ARM based industrial controller simplifies IIoT integration with:
2, BLIoTLink Protocol Conversion: Seamlessly bridges Modbus, BACnet, OPC UA, and MQTT protocols to cloud platforms like 3, AWS IoT Core and Alibaba Cloud.
4, Remote Maintenance: BLRAT tools enable secure remote access for diagnostics and updates.
5, Rapid Development: Docker, Node-RED, and Qt-5.12.5 frameworks accelerate application deployment.

The ARMxy BL340 series exemplifies the capabilities of a modern ARM based industrial controller, offering unmatched versatility, reliability, and connectivity for IIoT data acquisition. Whether deployed in smart factories, energy systems, or transportation networks, it empowers industries to harness data-driven insights while thriving in challenging environments.

In the fields of industrial automation and control, the demand for advanced human-machine interfaces (HMIs) is continuously rising. Using cutting-edge processors and a reliable hardware platform is key to ensuring system stability and high performance. This article introduces an ARM embedded computer based on the NXP i.MX8M Mini processor—Arm Based Industrial PC. With its exceptional hardware specifications and industrial-grade features, it is the ideal choice for developing industrial-grade HMI applications.

Powerful Processing and High Efficiency
The Arm Based Industrial PC leverages the NXP i.MX8M Mini platform equipped with a quad-core Cortex-A53 processor, delivering outstanding performance while maintaining excellent power efficiency. This product not only responds rapidly to complex computational tasks but also provides a smooth operating environment for graphically intensive HMI applications. Whether it’s real-time data processing, image rendering, or multitasking, its multi-core architecture ensures the system remains efficient and stable even under heavy loads.

Rich Interfaces and Expandability
To meet the diverse connectivity requirements of industrial applications, this embedded computer offers a wide range of interface options. With multiple serial ports, USB, Ethernet interfaces, and expansion slots, it not only facilitates system integration but also provides significant flexibility for future upgrades and customization. Developers can easily expand system functionalities based on specific needs, enabling comprehensive data acquisition and device control, which in turn enhances the overall intelligence of the HMI system.

Optimized Graphics Processing and Display Performance
In industrial HMI design, graphics processing capability is directly linked to the clarity and responsiveness of the interface. The Arm Based Industrial PC, with its advanced graphics processing unit, supports high-resolution displays and ensures stable image output. Whether displaying surveillance videos, real-time data charts, or complex operation interfaces, it delivers smooth and intuitive visuals that enhance operational efficiency and user experience.

Flexible Software Support and Custom Development
The platform supports various industrial operating systems and development tools, allowing developers to choose the most suitable software environment for custom development. The flexibility of open-source systems and the rich software ecosystem give the Arm Based Industrial PC high levels of customizability and scalability in industrial HMI applications. Whether using a real-time operating system or embedded Linux, the hardware platform is capable of delivering optimal performance to meet the diverse needs of different industries.

NPU (Neural Processing Unit) is a specialized coprocessor designed to accelerate artificial intelligence (AI) and machine learning (ML) tasks in ARM-based industrial control systems. It optimizes neural network computations, enhancing real-time performance, energy efficiency, and complex data processing capabilities in industrial automation.

Key Features of NPU

1. Dedicated Architecture Hardware-optimized for neural network operations (e.g., matrix multiplication, convolutions), enabling higher computational throughput at lower power consumption compared to CPUs/GPUs.
2. Massive Parallelism Utilizes parallel processing units (e.g., MAC arrays) to handle multidimensional data (images, sensor signals, audio) efficiently.
3. Low Latency & High Energy Efficiency Minimizes redundant instructions and memory access, achieving millisecond-level inference speeds critical for real-time industrial applications.

NPU vs. CPU/GPU

Benefits of NPU in Industrial PCs

1. Real-Time Performance: Meets strict latency requirements for robotics, production lines, etc.
2. Power Savings: Reduces energy costs for 24/7 operations and simplifies thermal management.
3. Edge Intelligence: Local data processing improves reliability in unstable network environments.
4. Cost Efficiency: Eliminates external AI accelerators, lowering hardware complexity.

Real-World Examples

• Smart Warehousing: NPU-powered robots improve picking accuracy by 30% via real-time object recognition.
• Power Grid Inspection: Drones analyze infrared images locally to detect faults (e.g., broken insulators).
• Food Packaging: Vision systems with NPU reduce sealing defect rates from 0.5% to 0.02%, cutting GPU costs.

Typical Use Cases in Industrial Control

Machine Vision & Quality Inspection

• Example: NPU accelerates vision models (e.g., YOLO, ResNet) to detect product defects (scratches, misalignment) on production lines, replacing manual inspection.
• Advantage: Higher frame rates (FPS) for high-resolution images with lower power consumption.

Predictive Maintenance

• Example: Analyzes sensor data (vibration, temperature) using time-series models (e.g., LSTM) to predict equipment failures (motors, bearings).
• Advantage: Real-time processing of multi-sensor data streams, reducing downtime.

Autonomous Robotics

• Example: AGVs (Automated Guided Vehicles) leverage NPU-accelerated SLAM algorithms for obstacle avoidance and path planning via LiDAR/camera data.
• Advantage: Ultra-low latency ensures safe navigation in dynamic environments.

Voice & NLP Integration

• Example: Enables voice-controlled machinery (e.g., “Start Line B”) using on-device speech recognition models.
• Advantage: Offline operation ensures privacy and reliability without cloud dependency.

IIoT Edge Computing

• Example: NPU processes video/sensor data at the edge, transmitting only critical insights to the cloud.
• Advantage: Reduces bandwidth usage and enhances data security.

Conclusion

NPUs empower ARM-based industrial computers with localized AI capabilities, driving efficiency and reliability in automation, quality control, and predictive maintenance. As Industry 4.0 demands smarter edge devices, NPUs are becoming essential for next-generation industrial systems.

The Beilai Tech ARM industrial computer ARMxy series BL410 supports 1TOPs NPU of localized computing power and is redefining the technical boundaries of Industry 4.0, smart cities, and smart security. Its value lies not only in replacing cloud computing, but also in implanting AI capabilities into the device side to form a closed-loop intelligent system of “perception-decision-execution”. With the exponential growth of edge computing demand, high-performance controllers such as BL410 will become the core engine driving the intelligent upgrade of the industry, bringing safer, real-time, and efficient solutions to various fields. In the future, with the advancement of algorithm lightweight technology, the AI potential of edge devices will continue to be released, opening a new chapter in the intelligence of all things.

With the rapid development of Internet of Things (IoT) technology, developers need a simple, efficient, and flexible tool to address complex IoT application scenarios. Node-RED, as a flow-based programming tool, has gradually become a popular choice in the IoT industry due to its unique advantages. Below are several key reasons why Node-RED is highly favored in the IoT field.

Ease of Use, Lowering Development Barriers

One of the standout features of Node-RED is its node-based graphical programming interface. Users can build logic flows by dragging and dropping nodes and connecting them, without the need to write complex code. This visual programming approach significantly lowers the barrier to entry, enabling even non-programmers to get started easily. For IoT developers, this means faster prototyping and functional validation, saving considerable time and effort.

Rich Node Library, Rapid Functionality Implementation

Node-RED boasts a vast library of pre-built nodes, covering a wide range of functionalities from hardware interfaces to cloud services. Currently, the Node-RED library offers over 5,000 nodes, allowing developers to quickly select and connect the appropriate nodes based on their needs. Whether it’s reading sensor data, controlling devices, or interacting with cloud platforms, Node-RED provides ready-made solutions, greatly accelerating the development process.

Cross-Platform Support, Adaptable to Various Environments

Node-RED can run on multiple platforms, including Linux, Windows, macOS, and various embedded devices. This cross-platform support makes Node-RED highly adaptable to different IoT application scenarios. Whether on local servers, edge devices, or in the cloud, Node-RED can operate seamlessly, offering developers significant convenience.

Easy Integration, Compatible with Multiple Technology Stacks

IoT projects often involve various technologies and protocols, such as MQTT, REST API, and databases. Node-RED can easily integrate with these technology stacks, allowing different data streams to be combined and processed through simple configurations. This powerful integration capability makes Node-RED an indispensable tool in IoT projects, especially in complex scenarios requiring multi-source data processing.

Real-Time Data Processing, Meeting High-Response Demands

IoT applications often need to process data from sensors or other devices in real time and respond quickly. Node-RED’s event-driven architecture efficiently handles real-time data streams, ensuring the system can promptly react to external events. This real-time data processing capability makes Node-RED particularly suitable for applications requiring high responsiveness, such as smart homes and industrial automation.

Flexible Deployment Options, Adapting to Diverse Needs

Node-RED supports multiple deployment methods, including local and cloud deployments. Particularly in cloud computing environments, Node-RED can leverage containerization technologies like Docker for rapid deployment and scaling. This flexibility allows Node-RED to adapt to IoT projects of varying scales and requirements, from small devices to large distributed systems.

Open Source and Free, Reducing Development Costs

Node-RED is an open-source project, completely free to use. This reduces the development costs of IoT projects, enabling more developers to participate in IoT application development. Support from the open-source community also means Node-RED can continuously update and improve, maintaining its technological edge.

Hardware Support: Shenzhen Bailai Technology’s ARMXY Series

To better support Node-RED applications, Shenzhen Bailai Technology has launched the ARMxy series hardware platform. This series offers flexible hardware configurations, allowing users to choose different ARM frequencies, RAM, and ROM based on their needs. It also supports 2 to 8 RS485 interfaces, 16 DI/DO channels, USB ports, 1-3 Ethernet ports, CAN interfaces, HDMI, 4G, and WiFi modules. These rich interfaces and modules enable the ARMxy series to meet various on-site application requirements, providing robust hardware support for Node-RED.

Conclusion

Thanks to its simplicity, powerful functionality, and flexible deployment options, Node-RED has become one of the preferred tools for IoT developers. Whether for beginners or experienced developers, Node-RED offers an efficient development experience, helping to quickly implement and deploy IoT applications. As IoT technology continues to evolve, the application prospects for Node-RED will only grow broader.

More information about ARMxy series ARM based computer: https://armbasedsolutions.com/

In the realm of smart manufacturing and industrial automation, the choice of operating system directly impacts operational efficiency and maintenance costs. As two mainstream branches of the Linux family, Ubuntu and Debian exhibit distinct technical characteristics. This article provides an in-depth, accessible analysis to reveal their core differences in industrial applications.

Fundamental Differences in System Design

1. Debian: The “Bedrock System” for Industrial Scenarios Debian adheres to a “stability-first” philosophy, with rigorously tested software repositories and a 2-3 year release cycle. Its robustness makes it ideal for industrial equipment requiring years of uninterrupted operation. For instance, a Debian-based automotive production line control system achieved a record of 873 days of continuous operation without failure.
2. Ubuntu: The “Rapid Response Unit” for Smart Manufacturing As an optimized derivative of Debian, Ubuntu emphasizes out-of-the-box readiness. Its Long-Term Support (LTS) editions balance stability with timely hardware compatibility updates. A robotics startup reduced deployment time from 3 weeks to 5 days by adopting Ubuntu, leveraging its preconfigured tools and drivers.

Performance Comparison in Industrial Settings

Deployment Efficiency

1. Ubuntu: Preloaded with over 100,000 hardware drivers, supporting mainstream industrial PCs, sensors, and PLC devices, achieving a 98% deployment success rate.
2. Debian: Requires manual driver configuration in 30% of cases but achieves 100% hardware compatibility through customization.

Operational Stability

1. Debian: Boasts a 50,000-hour Mean Time Between Failures (MTBF), ideal for critical systems like power grid monitoring.
2. Ubuntu LTS: Offers 5-year security updates, balancing stability and functionality for systems requiring periodic upgrades, such as smart warehouse management.

Typical Industrial Use Cases

Ubuntu Strengths

1. Rapid Prototyping: An AGV manufacturer validated navigation algorithms in 2 weeks using Ubuntu.
2. Edge Computing: Supports embedded platforms like NVIDIA Jetson for real-time quality inspection systems.
3. Short-Term Projects: Ideal for smart logistics systems (<3 years) integrating RFID and computer vision.

Debian Advantages

1. Critical Infrastructure: A refinery’s DCS control system has operated flawlessly for over 5 years.
2. Long-Term Deployment: Port crane systems using Debian achieved 10 years without reinstallation.
3. Customization: Subway signaling systems use a tailored Debian build for millisecond-level response times.

Decision-Making Guidelines

Choose Ubuntu When:

1. Project lifecycle <3 years
2. Rapid iterative development is required
3. Modern hardware is involved (e.g., 5G modules, AI accelerators).

Opt for Debian When:

1. Equipment lifespan exceeds 5 years

2. Zero downtime is mandatory (e.g., power plant controls)
3. Full control over system components is critical.

Hybrid Deployment Case Study

A smart factory implemented a layered architecture:

• Edge Layer: Ubuntu 20.04 LTS for vision inspection terminals
• Control Layer: Debian 11 for PLC-driven machinery
• Cloud Layer: Ubuntu Server for big data analytics This hybrid approach reduced downtime by 40% and improved upgrade efficiency by 60%, demonstrating how both systems can coexist synergistically.

Conclusion

In the Industry 4.0, there is no universal “best” choice. Ubuntu acts as an agile industrial robot, accelerating market responsiveness, while Debian functions as a precision CNC machine, ensuring core process reliability. Strategic selection depends on project lifecycle, hardware requirements, and maintenance capabilities. Notably, the boundaries between the two are blurring: Debian gains new features via Backports, while Ubuntu enhances LTS stability. This healthy competition ultimately benefits the entire smart manufacturing ecosystem.

Real Case: Lessons from Wind Turbines

Approximately a decade ago, a batch of BLIIoT devices was installed on wind turbines. Initially, they operated normally, but as soon as the turbines connected to the grid for power generation, the devices would crash. Once the turbines disconnected, the devices returned to normal. Despite on-site inspections by engineers, the root cause remained elusive. Finally, during laboratory testing, we discovered that grid connection produced intense electrical pulse interference, which coupled through the Ethernet port and power supply, affecting the device’s chip and causing crashes.

This experience led us to significantly enhance hardware protection and anti-interference capabilities in our designs.

Common Issues Without Adequate Protection

• Unstable Communication, Data Loss, or Delays

Industrial environments with frequent electromagnetic interference can cause packet loss, data errors, or delays, severely impacting system real-time performance and reliability.

Typical Scenarios:

1) Intermittent sensor data upload interruptions hinder real-time monitoring.

2) Delayed or lost control commands result in production line halts or defective products.

• Interface Failures and Hardware Damage

High-frequency interference, surges, and electrostatic discharge may damage communication interfaces (e.g., RS485, CAN, Ethernet) or even burn out ports or entire devices.

Typical Scenarios:

1) Interfaces fail after thunderstorms, causing system downtime.

2) Static discharge during cable insertion damages chips, making ports unusable.

• Frequent System Crashes or Restarts

Devices lacking anti-interference capabilities often crash or restart under strong electromagnetic conditions, reducing operational efficiency.

Typical Scenarios:

1) Devices near welding equipment or inverters restart unexpectedly, causing data loss.

2) Systems crash after prolonged operation in high-interference environments.

• Abnormal Analog Data Collection

Interference signals in industrial environments can distort analog input, leading to erratic or completely inaccurate data collection.

Typical Scenarios:

1) Temperature, pressure, or current signals fluctuate abnormally, rendering them useless for control decisions.

2) Data charts are filled with spikes, drastically reducing analytical value.

Conclusion

Industrial environments impose stringent demands on the protection and anti-interference capabilities of equipment. Only through scientific design and rigorous testing (e.g., ESD, electrical fast transients, surge immunity) can long-term stability be ensured in complex scenarios. This principle underpins the core design philosophy of our ARMxy series products.