As the global transition to renewable energy deepens, industries such as photovoltaics, energy storage, and EV charging infrastructure demand higher performance in real-time data acquisition, edge collaborative computing power, and industrial-grade reliability. At the recent SNEC International Photovoltaic Power Generation and Smart Energy Conference & Exhibition in Shanghai, digital evolution took center stage as the defining industry trend.

In response to this transformation, Forlinx Embedded has executed a strategic pivot, shifting from traditional hardware showcases to a dual-driven strategy centered on "SoM + Scenario Solutions." By directly targeting the digitalization pain points in key sectors—such as photovoltaics, energy storage, charging stations, and station security—Forlinx has introduced seven customized, integrated software-hardware solutions. These are designed to assist global energy providers in enhancing system stability while significantly reducing time-to-market.

Seven Scenario Solutions Empowering Full-Spectrum Energy Implementation

Forlinx Embedded has concentrated on addressing practical challenges in the industry by introducing seven customized solutions that cover the entire energy sector. These solutions include: PV monitoring and control, energy storage management, intelligent interaction, outdoor security, AI-driven vision, energy consumption management, and privatized intelligent operations and maintenance. Together, these solutions offer lightweight, easily implementable, one-stop options for upgrading the energy industry.

PV Box Transformer Monitoring Solution: Leverages the T536 SoM's "one-chip multi-core, integrated heterogeneous" technical advantages to ensure strict real-time power management. The Linux management core aggregates data and interfaces with the cloud, offering high integration and stable operation suitable for all types of box transformer monitoring scenarios.

8 x CAN-FD Battery Management Solution: Based on the T536 SoM, this solution is suitable for mid-level controllers in energy storage and new energy vehicle batteries. It supports 8 x high-speed CAN-FD parallel communication, collects core battery parameters at millisecond-level speeds, builds a comprehensive battery health assessment system, and ensures efficient, stable transmission of massive energy storage data.

Charging Pile Interaction Solution: Utilizes the LVGL graphics engine to create a smooth visual interactive interface that supports dynamic display of charging data and responsive touch control, balancing long-term low-power operation with an excellent user experience.

Low-Power Intelligent Monitoring Solution: Implements AOV low-power monitoring based on the RV1126B development board. It employs a sleep-patrol closed-loop mechanism: normal sleep, AI-triggered snapshot capture in seconds, and automatic wake-up for video recording upon anomaly detection. Integrated with an energy consumption monitoring module, it suits outdoor scenarios without mains power, balancing security and ultra-long standby.

16 x AI Vision Solution: Based on the RK3588 SoM, it efficiently processes 16 x 720P@10FPS H.264 video streams. Through hardware decoding and NPU heterogeneous acceleration, it builds an end-to-end real-time inference system. This meets high-precision edge vision demands like intelligent inspection and image analysis in energy stations, breaking through computational bottlenecks.

Energy Consumption Management Solution: The FCU2601 embedded control unit is a highly reliable, dedicated energy control unit. Solutions built with it feature low power consumption, multiple interfaces, and high protection levels, suitable for various energy data collection and intelligent control scenarios, aiding refined energy management.

Energy Storage Privatized Knowledge Base Solution: Leveraging the dual-core architecture of the RK3588 SoM and the RK1828 AI coprocessor, it establishes a purely intranet-based privatized operations platform. This enables energy storage fault diagnosis, data queries, and policy push without public network access, balancing data security with operational efficiency.

Full-Gradient Hardware Matrix Solidifies the Foundation for Industrial Intelligent Control

To support the seamless implementation of these scenario solutions, Forlinx Embedded has built a comprehensive hardware matrix leveraging mainstream platforms such as Rockchip, Allwinner, NXP, TI, and Nuvoton. The product lineup spans SoMs, development kits, industrial control boxes, edge AI computing devices, and ecosystem accessories, achieving full-gradient coverage across high-, mid-, and low-end tiers.

Industrial-Grade Reliability Commitment:

All products feature industrial-grade low power consumption, high stability, and strong anti-interference capabilities. They are suitable for complex scenarios like outdoor stations and industrial rooms, fully meeting diverse deployment needs for smart energy terminal acquisition, edge computing, and cloud management, providing solid hardware support for industrial intelligent upgrades.

Partnering with Global Energy Providers to Accelerate Intelligent Transformation

As the photovoltaic and energy storage industries accelerate their intelligent iteration, embedded technology has become the digital foundation for industry upgrades. By deeply integrating industrial-grade reliable hardware with scenario-based solutions, Forlinx Embedded provides customers with a cost-effective, rapidly implementable path toward intelligent upgrades.

If you are planning the development of the next generation of smart energy devices, please feel free to connect with us at any time.

• Product Information: Explore our Product pages to access the latest materials, datasheets, and technical documentation.

• Technical & Sales Support: Contact our sales engineering team via [email protected] to apply for a SoM/development board evaluation platform.

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