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Deep Comparison Between RK3576J and RK3588S Processors

Rockchip' s RK3576J and RK3588S are two high-performance processors designed for different application scenarios, each offering unique advantages in industrial computing and intelligent edge deployments.

The RK3576J, with its heterogeneous Cortex-A72 + A53 architecture and built-in Cortex-M0 real-time core, excels in real-time demanding applications such as industrial control and in-vehicle electronics.

On the other hand, the RK3588S, built on a more advanced 8nm process and featuring a Cortex-A76 + A55 architecture, delivers remarkable improvements in multimedia processing and AI performance. This makes it particularly suitable for edge servers and smart terminals requiring high-performance computing.

Both processors are equipped with a 6 TOPS NPU, but in practice, the RK3588S benefits from a larger cache and higher memory bandwidth, providing superior efficiency in handling complex AI models.

Based on these processors, BLIIoT has developed the BL440 Edge Gateway (RK3576J) and BL450 Edge Server (RK3588S), delivering complete hardware solutions tailored to different customer needs. Users can select the optimal product depending on computing requirements, environmental conditions, and budget.

I. Core Architecture Comparison

II. AI & Multimedia Capabilities

NPU Performance:

RK3576J: 6 TOPS (INT8/FP16)

RK3588S: 6 TOPS (supports INT4/INT8/FP16/BFP16), with 35% higher throughput in real workloads

Video Processing:pie title Video Codec Capabilities "RK3576J 8K Decode" : 30 "RK3588S 8K Decode" : 60 "RK3576J Encode" : 60 "RK3588S Encode" : 30

RK3576J: 8K decode @30fps, 4K encode @60fps

RK3588S: 8K decode @60fps, 8K encode @30fps

III. Interfaces & Expandability

PCIe:

RK3576J: PCIe 3.0 (8 GT/s)

RK3588S: PCIe 4.0 (16 GT/s)

Display Output:

RK3576J: Dual 4K@60fps

RK3588S: Quad-display (2×8K + 2×4K)

Video Input:

RK3576J: 4×4K MIPI-CSI

RK3588S: 8×4K MIPI-CSI

IV. Power Consumption & Thermal Design

V. BLIIoT Product Implementation

graph TD A[BL440 - RK3576J] -->|Advantage| B(Comprehensive Industrial Protocol Support) A --> C(Wide Temperature Range -40~105℃) D[BL450 - RK3588S] -->|Advantage| E(50% Stronger Computing Power) D --> F(Supports PCIe 4.0 Expansion)

VI. Selection Decision Matrix

Choose RK3576J when:

✓ Hardware real-time control is required (M0 core)

✓ Harsh industrial environments (-40~105℃)

✓ Cost-sensitive projects (30% lower BOM)

Choose RK3588S when:

✓ 8K video processing is required

✓ Multiple PCIe device expansion

✓ High-density AI inference (parallel model support)

VII. Typical Application Scenarios

RK3576J Advantages:

Industrial automation (PLC + vision)

In-vehicle smart cockpit (dashboard + center console)

Power IoT gateway

RK3588S Advantages:

Edge AI servers (16-channel video analytics)

Cloud gaming terminals (8K@60fps)

Digital twin workstations

[bliiot]

Rockchip RK3588S Processor: Performance and Application Analysis

Overview

The Rockchip RK3588S is a flagship processor designed for high-end intelligent computing scenarios. Featuring an 8-core heterogeneous architecture (4×Cortex-A76 + 4×Cortex-A55) combined with a 6TOPS NPU, it supports 8K video encoding/decoding and quad-display output. While maintaining a typical power consumption of just 15W, the RK3588S delivers desktop-class performance, making it especially suitable for edge servers and intelligent NVRs that require high-performance AI computing and multimedia processing.

Based on this processor, BLIIoT has introduced the BL450 Edge Computing Server, supporting up to 32GB LPDDR5 memory and PCIe 4.0 expansion, addressing the high-density computing needs of smart city and Industrial IoT applications.

Core Performance Advantages

Compute Architecture

4×Cortex-A76 @ 2.4GHz + 4×Cortex-A55 @ 1.8GHz

4MB L3 + 2MB L2 cache

Supports ARM DynamIQ technology

AI Acceleration

6TOPS NPU (INT8/FP16 mixed precision)

Typical AI performance: • Face recognition: 300fps @ 1080p • Object detection: 60fps @ 4K • Natural language processing: 1200 tokens/s

Multimedia Processing

Video Codec: • Decode: 8K@60fps (AV1/VP9/H.265) • Encode: 8K@30fps (H.265/H.264)

Display System: • Quad-display output (2×8K + 2×4K) • HDR10 / HLG / Dolby Vision support

Industrial-Grade Features

Expansion

Dual-channel PCIe 4.0 (8GT/s)

4×USB3.1 Gen2 (10Gbps)

Dual-channel MIPI-CSI (single channel up to 8K input)

Reliability

Industrial-grade packaging (-40℃ ~ 85℃)

ECC memory error correction

Hardware-level security and encryption engine

Typical Application Scenarios

Edge Computing Servers

Supports 16-channel 1080p video analytics

Typical full-load power consumption: 18W

Concurrently handles data from 200+ IoT devices

Smart Security Systems

Up to 32-channel video input

Supports multiple algorithms in parallel (face, license plate, behavior recognition)

≥7 days of local storage backup during network outages

Digital Twin Applications

Real-time rendering of 4K 3D models

Compatible with Unity/Unreal Engine

Latency <20ms

BLIIoT BL580 Solution

Hardware Configuration

Compute Unit: RK3588S

Memory: 8GB / 16GB / 32GB LPDDR5 options

Storage: Dual M.2 NVMe (up to 4TB)

Networking

Standard: • 2×10GbE SFP+ • 4×2.5GbE RJ45

Optional: • 5G RedCap module • Wi-Fi 6E module

Deployment Cases

Smart campus: Single node managing 500+ smart devices

Smart manufacturing: 20-node digital twin production line

Cloud gaming: 50 concurrent 8K game streams

Selection Guide

Best suited for: ✓ Edge computing nodes requiring desktop-class performance ✓ Ultra-high-definition video analytics centers ✓ Digital content creation workstations

Not suitable for: × Autonomous driving domain controllers requiring >50TOPS × Ultra-low latency (<1ms) industrial control × Large-scale AI model training

Note: Actual performance depends on thermal design and system optimization. Please refer to Rockchip official documentation for detailed specifications. BLIIoT provides customizable thermal management solutions.

[bliiot]

Rockchip RK3576 Processor Performance and Application Analysis

Overview

The Rockchip RK3576 is a processor designed for high-end edge computing and industrial AI applications. It adopts an innovative heterogeneous architecture of 4×Cortex-A72 + 4×Cortex-A53 cores, paired with a 6TOPS NPU accelerator. Striking an excellent balance between performance and power efficiency, the chip supports industrial-grade operating temperatures from -40℃ to 105℃, while offering 8K video codec capability. It is an ideal choice for scenarios such as smart manufacturing and smart cities.

Based on this processor, BLIIoT has launched the BL440 Edge Computing Gateway, which features flexible ROM/RAM configurations (up to 16GB + 128GB) and modular I/O design, enabling reliable deployment in harsh industrial environments.

Core Performance Advantages

Heterogeneous Computing Architecture:

4×Cortex-A72 @2.2GHz (performance cores)

4×Cortex-A53 @1.8GHz (efficiency cores)

Intelligent task scheduling for dynamic power management

AI Acceleration:

6TOPS NPU with INT4/INT8/FP16 mixed precision

Typical AI performance: • Face recognition: 240fps @1080p • Object detection: 50fps @4K • Semantic segmentation: 30fps @2K

Multimedia Processing:

Video codec: • Decode: 8K30fps / 4K120fps • Encode: 4K60fps H.265/H.264

Display interface: • Dual 4K60 HDMI 2.1 outputs • Supports HDR10+ / Dolby Vision

Industrial-Grade Reinforcement

Environmental Adaptability:

Passed MIL-STD-810G vibration/shock tests

MTBF >50,000 hours

Surge protection (4kV contact discharge)

Security Features:

Hardware-level TrustZone 2.0 secure enclave

National cryptographic standards SM2/SM3/SM4 acceleration

Secure boot + physical anti-tamper detection

Typical Application Scenarios

Industrial Vision Inspection:

Supports 16-channel 1080p real-time analysis

Detection accuracy: 99.2% @ defect detection

Response latency: <50ms

Intelligent Transportation Systems:

Vehicle-road collaboration with multi-sensor fusion

Supports 8-channel video structural analysis

Typical power consumption: <15W under full load

Energy IoT:

Aggregates data from 200+ sensors at the edge

Supports 18 protocols including Modbus / OPC UA

Offline data caching ≥72 hours

BLIIoT BL440 Solution

Hardware Configuration:

Compute unit: RK3576J

Memory: 4GB / 8GB / 16GB LPDDR4X

Storage: 32GB–128GB eMMC + NVMe expansion

Interface Features:

Standard: • 4×GbE (including 2×TSN) • 2×CAN-FD • 4×USB3.2

Optional: • 5G module (SA/NSA) • PoE+ power module

Deployment Cases:

Automotive factory: 36 devices networked to control 200+ robots

Smart campus: single node processes 12-channel 4K surveillance video

Wind power monitoring system: stable operation at -30℃

Selection Guide

Recommended Use Cases: ✓ Manufacturing quality inspection requiring on-site AI processing ✓ Industrial device gateway with multi-protocol connectivity ✓ High-density video analysis edge nodes

Not Recommended For: × Autonomous driving requiring >20TOPS compute × Ultra-low power (<3W) sensor nodes × FPGA-level real-time signal processing

Note: Actual performance may vary depending on system configuration. For the latest technical details, please refer to Rockchip’s official documentation or contact BLIIoT for customized solution recommendations.

[bliiot]

Rockchip RK3562J vs RK3568J: In-depth Processor Comparison

Overview

The Rockchip RK3562J and RK3568J are two mainstream processors designed for industrial IoT and edge computing. While both target similar markets, they differ significantly in performance scalability and feature sets. RK3562J is positioned for entry-level industrial applications, whereas RK3568J is geared towards higher-performance multimedia and AI computing scenarios. This article provides a detailed analysis of their technical differences and application choices.

1. Core Architecture Differences

CPU Configuration

RK3562J: Standard quad-core Cortex-A53 (1.8GHz) + Cortex-M0 co-processor

RK3568J: Enhanced quad-core Cortex-A55 (1.8GHz) with architectural optimizations for better performance

Co-processor

RK3562J: Integrated 200MHz Cortex-M0

RK3568J: No independent co-processor, but improved real-time performance via hardware acceleration units

2. Key Performance Comparison

AI Acceleration

RK3562J: Built-in 1TOPS NPU (INT8/INT16)

RK3568J: Same NPU capability, but adds TensorFlow Lite framework support

Multimedia Processing

RK3562J: Supports 4K30 video encoding/decoding

RK3568J: Maintains 4K30 support with improved encoding efficiency

Memory Support

Both: LPDDR4/LPDDR4X supported

RK3568J: Optimized memory controller with ~12% higher bandwidth

3. Industrial Features Comparison

Interface Expansion

RK3562J: 2×CAN 2.0B + TSN Ethernet

RK3568J: Adds PCIe 2.0 interface (not PCIe 3.0)

Display Output

Both: HDMI 1.4

RK3568J: Adds DisplayPort over USB-C support

4. Typical Application Scenarios

RK3562J is better suited for: ✓ Industrial control applications with real-time requirements ✓ Single-channel video processing devices ✓ Power-sensitive applications

RK3568J is better suited for: ✓ Applications requiring external accelerator cards ✓ Projects with high interface expansion needs ✓ HMI systems with complex display requirements

5. Power and Cost Analysis

Typical Power Consumption

RK3562J: 2–3W (M0 core can independently enter sleep mode)

RK3568J: 3–4W (requires more sophisticated power management)

Cost-effectiveness

RK3562J: More cost-competitive in basic control scenarios

RK3568J: More economical when interface expansion is required

6. Selection Decision Tree

Need a hardware real-time core? → Yes: Choose RK3562J

Need PCIe expansion? → Yes: Choose RK3568J

Is the project budget limited? → Yes: Prefer RK3562J

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RK3568J Processor Features and Application Scenarios

1. Processor Overview

The RK3568J is a high-performance embedded processor launched by Rockchip, based on a quad-core Cortex-A55 architecture. It is designed for AI computing, multimedia processing, and edge computing. Known for its high computing power, rich interfaces, and industrial-grade reliability, the RK3568J is suitable for smart terminals, industrial control, and AIoT applications.

BLIIoT’s ARMxy Edge Computing Device BL410 adopts the RK3568J processor, supporting multiple I/O expansions, widely used in industrial automation, intelligent security, and AI inference.

2. Key Specifications

CategorySpecificationCPU4x Cortex-A55 (1.8GHz)GPUMali-G52 2EE (OpenGL ES 3.2/2.0, Vulkan 1.1)NPU1 TOPS (supports INT8/INT16/FP16, compatible with TensorFlow/MXNet/PyTorch)Multimedia- Video: 4K60 H.265/H.264 encode & decode, 8K30 decode - Camera: 4x MIPI-CSI (up to 16MP)Memory/StorageSupports LPDDR4X (up to 8GB), eMMC 5.1, SD 3.0Interfaces- Industrial: 2x Gigabit Ethernet (TSN), 4x UART, 2x CAN 2.0B - Expansion: USB 3.0/2.0, PCIe 3.0, SPI/I²C - Display: HDMI 2.0, LVDS, MIPI-DSI (dual-screen)ReliabilityIndustrial-grade temperature range (-40°C to +85°C), secure boot, encryption engine

3. Core Features

High-Performance Heterogeneous Computing

Cortex-A55 cores: Run lightweight applications (system scheduling, communication stacks).

Multimedia and AI Acceleration

Hardware-accelerated 4K60 video processing, ideal for smart display and surveillance.

1 TOPS NPU supports lightweight AI inference (face recognition, object detection).

Industrial-Grade Design

Wide temperature operation and anti-interference design for harsh environments.

Rich industrial interfaces (CAN, TSN Ethernet), compatible with mainstream industrial protocols.

4. Typical Application Scenarios

(1) Smart Industrial Control

Industrial HMI: Mali-G52 enables smooth graphical UI, with multi-protocol support (CAN/Ethernet).

Machine Vision: 4K camera input + NPU-based defect detection.

(2) Edge AI Computing

Smart Security: Facial recognition gates, behavior analysis cameras.

Retail Terminals: Self-checkout + product recognition (NPU acceleration).

(3) Multimedia Terminals

Digital Signage: 4K advertisement playback + dual interactive displays.

In-Vehicle Entertainment: Multi-screen display (dashboard + rear-seat).

(4) Networking and Communication

5G Edge Gateway: PCIe 3.0 connects to 5G modules for data aggregation.

Industrial IoT Gateway: TSN Ethernet supports real-time device communication.

5. Competitor Comparison (RK3568J vs. Peers)

FeatureRK3568JTI AM6254NXP i.MX8M PlusCPU4x Cortex-A554x Cortex-A53 + M4F4x Cortex-A53 + 2x M7NPU1 TOPSNone2.3 TOPSVideo4K60 H.265/H.2641080p60 H.265/H.2644K60 H.265/H.264Industrial I/FCAN 2.0B + TSN EthernetCAN-FD + PRU-ICSSCAN-FDDisplay OutputDual-screen (HDMI/LVDS/MIPI)Dual-screen (LVDS/HDMI)Dual-screen (LVDS/HDMI)Power3–5W<3W4–6WStrengthsAI + Multimedia + IndustrialReal-time + Low PowerHigh-Performance AI + Multimedia

6. Advantages and Limitations

Advantages ✅ High-performance heterogeneous computing ✅ 4K60 multimedia capabilities ✅ Rich industrial interfaces (CAN/TSN Ethernet)

Limitations ❌ NPU computing power is limited (complex AI requires external accelerator) ❌ No hardware-level real-time core (e.g., M4/M7) ❌ Slightly higher power than TI AM6254

7. Conclusion

The RK3568J targets the mid-to-high-end embedded market, offering:

Balanced performance and AI capability: Suitable for lightweight AI + multimedia scenarios.

Industrial compatibility: Wide-temp design and multiple interfaces for automation and communication devices.

Recommended Scenarios:

Industrial HMI + machine vision

Edge AI terminals (security, retail)

4K multimedia devices

Not Recommended:

Ultra-low power devices (TI AM6254 preferred)

High-performance AI (≥4 TOPS NPU required)

Alternative Options:

For stronger AI: RK3588 (6 TOPS)

For better real-time control: NXP i.MX8M Plus (M7 cores)

[bliiot]

OpenPLC Application Case: Wastewater Treatment Chemical Dosing System

📍 Scenario

In a municipal wastewater treatment plant, PAC (Polyaluminum Chloride) is used for chemical dosing to improve sedimentation and reduce turbidity in treated water. The process demands accurate and responsive control based on real-time water quality parameters.

🧩 Configuration

ARMxy Industrial Controller

Y-AI Board – for collecting turbidity and pH signals from online sensors

Y-AO Board – for controlling the dosing pump frequency

⚙️ Implementation

The Y-AI board reads analog signals (0–20mA) from online turbidity and pH sensors.

The OpenPLC program analyzes turbidity fluctuations and dynamically adjusts the analog output of the AO board (-10 to 10V), which corresponds to a 0–50Hz frequency control of the chemical dosing pump.

The system automatically generates daily dosing reports, which are stored locally and optionally synced to a remote server.

✅ Advantages

The ARMxy controller enables remote storage and historical data access, allowing regulatory bodies to retrieve water quality and dosing logs for compliance checks.

The Y-AO board supports flexible voltage/current output switching, ensuring compatibility with various dosing equipment models.

OpenPLC logic ensures real-time responsiveness and customizable dosing strategies based on site-specific conditions.

🔗 Conclusion

This chemical dosing solution, built on ARMxy + OpenPLC, is cost-effective, adaptable, and compliant with environmental monitoring needs. It's a scalable foundation for modernizing process control in wastewater treatment infrastructure.

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🚀 Introducing the ARMxy BL310 Embedded Computer – Your Compact Powerhouse for Industrial Edge Applications! Powered by i.MX6ULL ARM-A7, with a clock speed of 800MHz, the BL310 offers: 🔧 Rich I/O expansion ports (DI, DO, AI, AO, RTD, RS485/232, CAN, GPIO, and more) 🧠 Flexible RAM & ROM configuration 🧩 Full compatibility with OpenPLC and Node-RED 🔐 Secure remote access via BLRAT (OpenVPN) for efficient maintenance Perfect for automation control, protocol conversion, and smart IoT deployments. Let’s make IIoT easier – from the edge to the cloud. 🌐

[bliiot]

OpenPLC + ARMxy Application Case – Vertical Smart Parking Lift Control

🏙️ Scenario

A 12-level vertical car parking system requiring precise, safe, and remote-controllable lift operation.

🛠️ Configuration

ARMxy Edge Controller

Y-Series High-Speed Pulse Output Module (for driving lift motors)

X-Series DI Module (for receiving floor alignment and anti-fall sensor signals)

🔧 Implementation

The pulse module generates A/B phase pulses (up to 100kHz) to control the servo motor for vertical lift motion.

DI inputs are used to validate positional feedback (e.g., level alignment sensors and anti-fall switches) to form a closed-loop control system.

The controller communicates with the parking payment system via RS485, ensuring smooth operation and status tracking.

✅ Advantages

Equipment manufacturers can remotely fine-tune pulse parameters to accommodate different lift heights using OpenPLC and BLRAT Remote Access Tool.

The X-Series DI module supports mixed-voltage input, simplifying wiring with different sensor types.

Modular I/O and programmable control offer flexible deployment for various smart parking models.

[bliiot]

OpenPLC + ARMxy Application Case: Lithium Battery Formation and Grading System

Scenario

In electric vehicle (EV) manufacturing, formation and grading is a crucial step for lithium battery cells. It involves controlled charging/discharging cycles to activate electrochemical performance and assess cell consistency. Precision, automation, and safety are key.

System Configuration

ARMxy Edge Controller – Serves as the central processing unit

Y-Series AI Module – Monitors individual cell voltages (-10–10V range)

X-Series DO Module – Controls charging/discharging circuits

Implementation

The Y-AI module continuously scans voltage levels of each battery cell with high-resolution input.

An OpenPLC program performs real-time comparison between cells and triggers charge balancing actions.

The X-DO module controls relays or contactors to safely interrupt abnormal charging loops in case of voltage deviations.

Key Benefits

✅ Automated test sequencing based on real-time data ✅ Voltage balancing logic built with open-source OpenPLC for flexible adjustment ✅ Remote Excel report generation for quality traceability ✅ Space-saving wiring with Y-series high-density analog input board — saving up to 90% panel space

This solution offers a customizable, cost-effective, and scalable platform for lithium battery manufacturers, integrating seamlessly with cloud platforms or MES systems.

[bliiot]

🔒 Secure, Reliable, and Remote — ARMxy + BLRAT 🔧 Looking for a secure and flexible way to manage your industrial edge devices remotely? 💡 Our ARMxy Edge Gateway combined with BLRAT (BL Remote Access Tool) empowers engineers to access and manage devices from anywhere, with enterprise-grade OpenVPN encryption ensuring end-to-end data protection. ✅ Remote PLC programming ✅ Real-time diagnostics and control ✅ Encrypted data transmission ✅ Defense against unauthorized access and tampering Whether you're in smart manufacturing, energy systems, or intelligent infrastructure, this is your ultimate edge connectivity and security solution. 📲 Let's make your industrial IoT deployment easier—and safer.

[bliiot]

OpenPLC+ARMxy Application Case: Intelligent Greenhouse Cluster Control

In the age of smart agriculture, precision environmental control is key to optimizing crop yield and quality. This OpenPLC-based automation solution demonstrates how a 50-mu (approximately 3.3 hectares) connected tomato greenhouse leverages edge computing and I/O flexibility for fully autonomous and remotely accessible climate regulation.

🌱 Application Scenario

Smart Tomato Greenhouse – 50-Mu Cluster

To maintain ideal growing conditions, the greenhouse requires real-time monitoring and dynamic control of temperature, humidity, CO₂ concentration, and light intensity. An automated control system powered by the ARMxy Edge Controller and OpenPLC ensures that environmental factors are continuously monitored and adjusted.

🧩 System Configuration

ARMxy Main Controller – Runs OpenPLC logic and communicates with remote systems via MQTT/cloud interface.

Y-AI Board – Collects analog signals from environmental sensors (CO₂, light, temperature, humidity).

X-DO Board – Controls actuators including roof vents, exhaust fans, grow lights, and drip irrigation valves.

⚙️ Implementation

The Y-AI board gathers analog data every 5 minutes.

OpenPLC executes a PID control algorithm to maintain setpoints (e.g., temperature, CO₂ levels).

Based on logic conditions (e.g., CO₂ > 1000 ppm), the X-DO board activates corresponding equipment such as vent motors.

The system also synchronizes with weather station data via MQTT or cloud API for predictive adjustments (e.g., pre-closing vents before rainfall).

✅ Key Advantages

Remote manual override: Farmers can intervene via smartphone in real time—for example, closing windows before heavy rain.

Universal sensor compatibility: The Y-series AI board supports mixed signal input (0–20 mA and -10 to 10 V), ensuring compatibility with a wide range of agricultural sensors.

Modular I/O: Allows for flexible configuration and future expansion across multiple greenhouses.

This integrated OpenPLC + ARMxy solution enables smart greenhouses to operate more efficiently, sustainably, and autonomously—empowering agricultural producers with better control over their environment and yields.

[bliiot]

OpenPLC+ARMxy Application Case: Intelligent PV Combiner Box Monitoring

As solar energy systems scale up, efficient monitoring and intelligent control at the edge become critical for improving reliability and maintenance efficiency. In this case study, we showcase how the ARMxy series industrial controller, combined with OpenPLC, powers smart string-level monitoring and environmental management in a 100MW solar PV station.

📍 Application Scenario

In a large-scale 100MW photovoltaic power station, the field includes multiple combiner boxes collecting current and voltage from dozens of PV strings. Accurate, real-time string-level monitoring is crucial for early fault detection, thermal management, and long-term efficiency optimization.

⚙️ System Configuration

ARMxy Edge Controller Acts as the central control unit running the OpenPLC logic.

X-RS485 Communication Module Communicates with multiple string monitoring units (SMUs) over Modbus RTU.

Y-AI Analog Input Module Monitors temperature and humidity inside the combiner box using direct analog sensors.

🔧 Implementation Details

The X-RS485 module polls each SMU to collect voltage and current data from individual PV strings via Modbus RTU.

The Y-AI module collects real-time environmental data (temperature, humidity) from the combiner box enclosure.

Once the temperature exceeds a configured threshold, OpenPLC logic triggers the cooling fan system and sends alerts to operators. All logic is implemented using a visual OpenPLC ladder or structured text program.

The ARMxy gateway uploads real-time data to a cloud platform via a 4G wireless module, enabling centralized monitoring and analytics.

🚀 Key Benefits

Real-Time Fault Detection Edge logic allows quick response to abnormal string behavior or environmental conditions, enhancing system safety.

Mobile Maintenance App Integration Operation and maintenance personnel can view string degradation curves and remotely locate faulty modules via mobile apps.

Simplified Hardware Setup The Y-AI module supports direct connection of temperature sensors, eliminating the need for external signal transmitters.

Flexible and Open Programming OpenPLC enables rapid customization of control logic to adapt to changing environmental thresholds or combiner box configurations.

🔚 Conclusion

By integrating ARMxy edge controllers, OpenPLC, and modular I/O boards, this solution offers a highly reliable and customizable architecture for smart PV combiner box monitoring. It bridges traditional industrial control with modern IIoT connectivity, laying the groundwork for predictive maintenance and cloud-based energy analytics in solar farms.

[bliiot]

OpenPLC Application Case | ARMxy Empowering Automotive Welding Line Automation

In the era of smart manufacturing, automotive production lines are embracing more intelligent, flexible, and efficient control systems. This case study showcases how the ARMxy embedded controller combined with modular I/O boards and OpenPLC is used to coordinate robot welding stations in a car body assembly line.

🔧 Application Scenario

In a car manufacturing plant’s body-in-white (BIW) workshop, six welding robots must operate in tight synchronization. The system needs to coordinate signals from fixtures, adjust welding current dynamically, and manage post-weld cooling — all with high flexibility and easy configuration for different car models.

The client required:

Precise welding sequence control

Remote debugging and PLC program updates

Flexible parameter adjustment for new vehicle models

Modular expansion to adapt to equipment changes

🛠 System Configuration

✅ Main Controller: ARMxy Embedded Edge Gateway

Runs OpenPLC, Node-RED, Docker, with remote management capability

✅ X-DI Digital Input Module

Detects fixture clamping and safety signals

✅ X-DO Digital Output Module

Controls welding gun on/off and cooling water valves

✅ Y-AO Analog Output Module

Outputs 4–20mA signal to regulate welding current (0–500A)

💡 How It Works

Using OpenPLC logic:

Fixture Detection (DI):

Once all clamps are in position, the welding sequence is triggered.

Dynamic Current Control (AO):

The AO module outputs a 4–20mA signal to adjust the welding power source based on plate thickness.

Post-weld Cooling (DO):

After welding, DO output activates the cooling valve to protect the equipment.

🌟 Key Benefits

🔧 Remote Parameter Tuning via BLRAT

Easily modify welding current, timing, and logic remotely to adapt to new models or production changes.

🔌 Hot-swappable I/O Modules

X/Y I/O modules support plug-and-play replacement — ideal for rapid changeovers or hardware upgrades.

📦 Integrated Edge Control + Communication

ARMxy serves as a compact control center: PLC + Edge Gateway + Protocol Converter in one.

📊 Deployment Outcomes

🔄 40% faster production switchover

💰 30% reduction in maintenance cost

🌐 100% remote configuration capability

🧩 Seamless adaptation to multi-model co-production

✅ Conclusion

This application highlights how the ARMxy Edge Controller, paired with OpenPLC and modular I/O boards, can provide a robust, adaptable control solution for industrial automation. It offers a practical approach for manufacturers looking to combine low-code control programming, remote management, and flexible system architecture — not just in automotive, but across smart energy, equipment manufacturing, and beyond.

📩 Contact us to learn more or get a tailored solution for your automation

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How to Choose the Right IoT Gateway? A Guide to BLIIOT's 4 IoT Product Series

In industrial IoT (IIoT) and smart manufacturing scenarios, IoT gateways serve as the critical bridge connecting field devices with cloud platforms. Faced with diverse PLC brands, varying data acquisition requirements, and complex application scenarios, how do you select the most suitable IoT gateway?

As a leader in industrial communication, BLIIOT offers four series of IoT gateways that cover everything from simple data collection to advanced edge computing. This article will help you quickly identify the optimal solution based on your specific application needs!

1. Basic Data Acquisition: BL110 Series – Simple, User-Friendly & Reliable

✅ Best for: Small-scale data points, easy configuration, no programming required ✅ Key Advantages:

Plug-and-play: No programming needed, just configure register mapping for deployment in 5 minutes

Wide compatibility: Supports Modbus RTU/TCP, Siemens S7, Mitsubishi FX, and other major PLC protocols

Stable operation: Industrial-grade hardware design for 24/7 reliable performance

📌 Typical Applications: Small equipment monitoring, energy consumption data collection, temperature/humidity monitoring

🔗 Recommended Product: BL110 Details

2. High-Performance Data Acquisition: BL116 Series – High-Speed & Large-Scale Data Collection

✅ Best for: High data volume, fast sampling rates, multi-device parallel communication ✅ Key Advantages:

Millisecond-level response: Ideal for real-time monitoring

Massive data capacity: Supports thousands of data variables for complex systems

Multi-protocol support: Connects PLCs, instruments, sensors, and more

📌 Typical Applications: Smart factory equipment monitoring, production line data aggregation, SCADA integration

🔗 Recommended Product: BL116 Details

3. Visual Programming Gateway: BL118 Series – Node-RED Drag-and-Drop Development

✅ Best for: Custom logic control, data processing, low-code development ✅ Key Advantages:

Node-RED support: Graphical programming with no complex coding required

Flexible expansion: Supports Python/JavaScript for advanced data processing

Rich protocol support: MQTT, HTTP, and cloud communication in addition to standard PLC protocols

📌 Typical Applications: Smart warehouse control, automated production lines, customized data processing

🔗 Recommended Product: BL118 Details

4. Edge Computing Gateway: ARMxy Series (e.g., BL410) – High-Performance Application Development

✅ Best for: Local computing, AI inference, complex business logic ✅ Key Advantages:

Powerful processing: High-performance ARM CPU for edge computing & data preprocessing

Open ecosystem: Supports Docker, Python, C++, and other development environments

BLIoTLink software: Built-in data collection, allowing developers to focus on application development

📌 Typical Applications: Predictive maintenance, AI quality inspection, energy optimization

🔗 Recommended Product: BL410 Details

Summary: Which IoT Gateway Should You Choose?

📢 BLIIOT IoT Gateways – Empowering Smart Manufacturing & Seamless Cloud Connectivity!

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🔌 Introducing the BE115 Energy Protocol IoT Gateway — Designed for intelligent photovoltaic and energy systems! Seamlessly connect and convert between major industrial protocols: ✅ Modbus RTU/TCP, DL/T645 ✅ BACnet/IP, BACnet MS/TP ✅ IEC104, MQTT, OPC UA ✅ PLC to Modbus & more With built-in 4G and protocol conversion, the BE115 simplifies complex system integration — ideal for solar plants, substations, and distributed energy applications. 🌐 One device. One click. One powerful gateway for your IIoT system.

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🚀 Simplify Your Automation Strategy with IOy Series Edge I/O Modules Why deploy PLC, I/O, gateway, and remote tools separately? IOy = PLC + I/O + Protocol Gateway + Remote Access – all in one compact industrial device. ✅ Collect, control & connect field data ✅ Reduce integration costs by up to 70% ✅ Support Modbus, MQTT, SNMP, OPC UA, IEC104, BACnet/IP, and more ✅ Ideal for smart buildings, power systems, and factory automation 💡 Enable fast and reliable remote automation deployment today.

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💡 Looking for a cost-effective embedded solution for your next edge project? Introducing the ARMxy BL335 Embedded Computer – ✅ Dual-core Cortex-A7 ✅ Optional RAM/ROM & modular I/O ✅ Compact, fanless, industrial-grade design ✅ Ideal for edge gateways, protocol conversion, and control systems Whether you're building smart factories, energy monitoring, or custom IIoT devices – BL335 delivers reliability and flexibility without breaking the budget.