IoT and energy management platform for grid and EV charging infrastructure
贵州车联邦 operates across embedded systems, edge computing, and energy software—a hardware-forward stack (ARM, DSP, FreeRTOS, RT-Thread, LabVIEW) paired with Python and SQL backends. The project mix signals a company building toward virtual power plant orchestration and EV charging logistics, with active work on satellite positioning, RSU edge computing, and demand-response algorithms. Engineering-led org (10+ engineers) facing real-time data integration and sensor connectivity challenges—typical friction points in IoT-to-cloud transitions.
Notable leadership hires: Human Resources Director
贵州车联邦网络科技 is a Guiyang-based IoT and smart energy company focused on virtual power plant management, solar storage solutions, and EV charging infrastructure. The platform integrates hardware controllers (via CAN, Modbus, I2C protocols), real-time edge compute nodes, and cloud data pipelines. Current product roadmap includes demand-response and ancillary services algorithms, data product optimization, and expansion into charging station networks. The organization spans engineering, product, and sales teams across China.
Embedded (ARM, DSP, FreeRTOS, RT-Thread, LabVIEW, MATLAB), connectivity (CAN, Modbus, UART, I2C, UDP), compute (NVIDIA, Linux), data (Python, SQL), and design (Axure RP, Visio, Adobe Suite).
Virtual power plant algorithms, solar storage and photovoltaic systems, EV charging station expansion, RSU edge computing, satellite positioning products, and real-time demand-response services.
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