ARMxy BL330 PV & Energy Storage Monitoring Solution: Real-Time Data Acquisition, Edge Control

I. Executive Summary

II. Analysis of Core Industry Pain Points

1. Multi-Device Protocol Isolation
   PV inverters, energy storage converters (PCS), battery management systems (BMS), and meteorological sensors from different manufacturers adopt diverse protocols (Modbus RTU, IEC 104, BACnet, etc.), resulting in severe data islands and inability to achieve unified monitoring.
2. Delayed Fault Warning & O&M
   Outdoor PV equipment is widely distributed, and traditional manual inspection or fixed-point monitoring leads to late discovery of panel hot spots, battery over-temperature, and inverter faults, causing large-scale power generation loss or battery safety risks.
3. Insufficient Edge Data Processing
   Massive real-time data from PV and energy storage systems is directly uploaded to the cloud, resulting in high bandwidth consumption and delayed response to urgent scenarios such as grid voltage fluctuations and battery overcharge.
4. Inaccurate Battery State Monitoring
   Lack of high-precision collection of battery temperature, voltage, and current data, coupled with insufficient edge-side analysis capability, makes it impossible to accurately assess battery health and predict attenuation trends.
5. Grid-Connected Data Interaction Lag
   Failure to realize real-time interaction of grid-connected power, load demand, and energy storage scheduling data with the power grid dispatching system leads to low efficiency of peak-shaving and valley-filling, and failure to meet grid-connected compliance requirements.

III. Core Value of the Solution

1. Wide-Temperature & Harsh Environment Adaptability
   With industrial-grade -40~85℃ operating temperature range and IP30 dustproof rating, it adapts to outdoor extreme environments such as high-temperature exposure of PV power stations and low-temperature areas of energy storage containers.
2. Multi-Protocol Unified Conversion
   Equipped with BLIoTLink industrial protocol conversion software, it supports mutual conversion of Modbus, IEC 104, BACnet, MQTT, OPC UA and other protocols, breaking through data barriers between heterogeneous devices.
3. Heterogeneous Multi-Core Edge Computing
   Based on Allwinner T113-i dual-core Cortex-A7 + XuanTie C906 RISC-V + HiFi4 DSP heterogeneous multi-core processor, it realizes local real-time analysis of PV power generation data and battery state, reducing cloud-side computing pressure.
4. Flexible IO & Wireless Expansion
   1 X-series IO slot and 2 Y-series IO slots support access to temperature, voltage, current and other sensors; built-in Mini PCIE interface is compatible with 4G/WiFi modules, realizing wireless data transmission for remote distributed PV stations.
5. Remote O&M & Fault Early Warning
   Through BLRAT remote access tool, it realizes remote debugging and maintenance of on-site equipment; combined with edge-side abnormal judgment algorithm, it realizes pre-warning of potential faults such as inverter failure and battery over-temperature.

IV. System Architecture and Core Technologies

1. System Topology Architecture

• Terminal Layer: PV panels, grid-connected inverters, energy storage batteries, BMS, PCS, meteorological sensors (illumination, temperature, wind speed), and grid voltage/current detectors, responsible for collecting raw data of the entire power generation and energy storage chain.
• Edge Layer: ARMxy BL330 serves as the core on-site controller, undertaking multi-protocol data conversion, edge-side real-time analysis (battery health assessment, power generation efficiency calculation), local fault early warning, and encrypted data uploading, supporting Linux-RT real-time kernel to ensure control command timeliness.
• Cloud Layer: Realizes centralized monitoring of PV and energy storage nodes, energy data statistics and analysis, battery life prediction, grid-connected dispatching coordination, and remote O&M command issuance, supporting access to public clouds such as Alibaba Cloud and Huawei Cloud through standard protocols.

2. Core Technologies

• Multi-Protocol Fusion Data Acquisition
  Relying on BLIoTLink software, the BL330 unifies the access of Modbus-based inverters, IEC 104-based grid devices, and BACnet-based energy storage equipment, realizing one-stop data collection and protocol conversion.
• Heterogeneous Multi-Core Edge Analysis
  The Cortex-A7 core undertakes protocol parsing and data interaction, the XuanTie C906 RISC-V core is responsible for battery health calculation, and the HiFi4 DSP core processes high-frequency meteorological and power data, improving local data processing efficiency by 30% compared with single-core controllers.
• Wireless Remote Data Transmission
  The built-in Mini PCIE interface expands 4G/WiFi modules, realizing stable data transmission for distributed PV stations in remote areas without wired networks, eliminating monitoring blind spots.
• Battery Health Intelligent Diagnosis
  Connect high-precision PT1000 temperature sensors and voltage/current acquisition modules through Y-series IO boards, and realize battery state of charge (SOC) and state of health (SOH) accurate assessment via edge-side algorithms, predicting battery attenuation trends in advance.
• Real-Time Grid-Connected Coordination
  Based on Linux-RT real-time kernel, the BL330 realizes millisecond-level interaction with grid dispatching systems, adjusting energy storage charging and discharging strategies according to grid load changes to achieve peak-shaving and valley-filling and improve grid-connected compatibility.

V. Hardware Configuration

• Main Controller: ARMxy BL332B (3×10/100M Ethernet ports, 1×HDMI2.0a, 1×20PIN X-slot, 2×Y-slot, supporting 4G expansion, DIN35 rail installation)
• Core Board: SOM335 (Allwinner T113-i heterogeneous multi-core, 1.2GHz Cortex-A7, 1GByte DDR3, 8GByte eMMC, industrial-grade -40~85℃ temperature range)
• X-Series IO Board: X24 (3×RS485, 1×CAN, 4×DI, 4×DO, 20PIN, supporting connection of inverters and BMS)
• Y-Series IO Boards
  1. Y33 (4-channel AI module, 0~5/10V input, collecting voltage/current data of PV panels and batteries)
  2. Y52 (2-channel PT1000 RTD module, three-wire system, monitoring battery and inverter operating temperature with high precision)
  3. Y95 (4-channel PWM output + 4-channel pulse counting, 1 high-speed channel for inverter power pulse collection)
• Peripheral Devices: High-precision illumination sensor, grid voltage/current detector, BMS battery monitoring module, 4G communication module (with antenna), DIN35 installation bracket
• Software Configuration: Pre-installed BLIoTLink protocol conversion software, BLRAT remote access tool, Linux-RT-5.4.61 kernel, Node-Red development environment, Qt-5.12.5 graphical interface tool

VI. Summary of Solution Advantages

1. Multi-Protocol Compatibility Breaks Data Islands
   Integrates mainstream industrial protocols via BLIoTLink, realizing unified management of heterogeneous devices in PV and energy storage systems and solving the problem of data non-interoperability between different manufacturers' equipment.
2. Industrial-Grade Reliability Adapts to Outdoor Scenarios
   -40~85℃ wide-temperature operation, IP30 dustproof, and passing vibration and drop tests, ensuring stable operation in outdoor harsh environments such as deserts and plateaus where PV stations are located.
3. Edge Computing Improves Response Efficiency
   Heterogeneous multi-core architecture realizes local data analysis and fault judgment, reducing cloud-side bandwidth occupation by 40% and realizing millisecond-level response to grid-connected and battery safety emergency scenarios.
4. Remote O&M Reduces Operation Costs
   BLRAT remote access tool supports remote debugging and fault handling, reducing on-site maintenance frequency by over 60% and cutting down operation and maintenance costs for distributed PV stations.
5. Flexible Expansion Adapts to Diverse Scenarios
   X/Y series IO boards can be customized according to project needs, supporting access to different types of sensors and controllers, and adapting to distributed PV, centralized energy storage, and microgrid and other diverse application scenarios.
6. Domestic Core Ensures Supply Chain Security
   Based on domestic Allwinner T113-i processor, it has independent intellectual property rights, avoiding supply chain risks and meeting the security requirements of energy infrastructure.

VII. Application Scenarios

1. Distributed commercial and residential photovoltaic power generation systems
2. Large-scale grid-connected photovoltaic power stations in desert and plateau areas
3. Industrial and commercial energy storage systems (peak-shaving and valley-filling, backup power supply)
4. Household photovoltaic energy storage all-in-one machines
5. Photovoltaic microgrid systems (island operation and grid-connected switching)
6. Energy storage container monitoring for new energy charging stations

VIII. Conclusion