ARMxy BL370 Series: Empowering Energy Storage Management Systems, Setting a New Benchmark for Intelligent and Efficient Remote Operation and Maintenance
Driven by the "dual carbon" goals, energy storage systems are becoming a critical component in the energy structure transition. How to achieve efficient management, remote operation and maintenance, and data interoperability for energy storage equipment has become a industry focus. The ARMxy BL370 series ARM embedded industrial computer, with its powerful edge computing capabilities, rich I/O interfaces, and flexible software ecosystem, provides a comprehensive solution for energy storage management systems.
Energy storage systems are often deployed in remote or scattered locations, where on-site maintenance is costly and response times are slow. The ARMxy BL370 series comes with the built-in BLRAT remote access tool, supporting remote login, debugging, program updates, and system maintenance. Operations personnel can:
View device status, logs, and operating parameters in real-time;
Remotely upload and update system images or applications;
Diagnose faults and perform online repairs, significantly improving operational efficiency and system availability.
The core of an energy storage system lies in data acquisition, analysis, and cloud synchronization. The BL370 series is equipped with BLIoTLink industrial protocol conversion software, supporting various industrial protocols such as Modbus, CAN, IEC104, MQTT, OPC UA, and can easily connect to:
BMS (Battery Management Systems), EMS (Energy Management Systems);
Various sensors, electricity meters, inverters, and other devices;
Mainstream cloud platforms like AWS IoT Core, Alibaba Cloud, Huawei Cloud, ThingsBoard.
Through BLIoTLink, the energy storage system achieves end-to-end data acquisition, protocol conversion, and cloud synchronization, providing real-time data support for energy dispatch, fault prediction, and efficiency analysis.
To lower the barrier for deployment and development, the ARMxy BL370 series supports the QuickConfig rapid configuration tool, offering the following advantages:
One-Click Remote Configuration: Quickly configure device network parameters, I/O modules, communication protocols, etc., over the network;
Visual Debugging Interface: Monitor I/O status and communication data flows in real-time, supporting graphical parameter setting;
AI-Assisted Programming: Quickly build data flows and logic control using low-code tools like Node-RED;
Docker Container Support: Easily deploy custom applications or third-party algorithms for functional expansion.
Whether for field engineers or remote developers, QuickConfig enables rapid system deployment and functional iteration, significantly shortening development cycles.
In an energy storage EMS/BMS system, the ARMxy BL370 can play a dual role as both an edge gateway and a local controller:
Acquire analog values like battery voltage, temperature, and current through Y-series I/O boards;
Connect to BMS modules via CAN/RS485 communication using X-series I/O boards;
Utilize the NPU for local AI inference to predict battery health status (SOH);
Upload data to the cloud platform via BLIoTLink, supporting remote monitoring and strategy optimization;
Leverage BLRAT for remote system maintenance and software upgrades, ensuring long-term stable operation.
With its industrial-grade reliability, flexible I/O expansion capabilities, and comprehensive software ecosystem, the ARMxy BL370 series provides a full-stack solution for energy storage management systems, spanning from data acquisition and edge computing to remote operation and maintenance. Whether used in commercial & industrial energy storage, microgrids, or large-scale energy storage power stations, the BL370 can help users build smarter, more efficient, and more reliable energy management systems.
Empowering Energy Storage, Intelligently Controlling the Future – ARMxy BL370, Your Expert in Edge Computing for Energy Storage.
Keywords: ARMxy BL370, Energy Storage Management System, Remote Operation and Maintenance, BLRAT, BLIoTLink, QuickConfig, Edge Computing, EMS/BMS, Node-RED, NPU