Industrial IoT and big-data platform for energy infrastructure
北京东华博泰develops a big-data analytics platform (Avatar) targeting heavy-asset industries—nuclear, wind, hydro, thermal power, grids, oil & gas, coal. The tech stack reveals a mature industrial IoT operation: MQTT, Modbus, BACnet, OPC for device connectivity; Python, TensorFlow, PyTorch for ML; Java, React for application layers. Active projects cluster around energy optimization (source-grid-load-storage balancing, integrated heating/cooling/gas control), and hiring is senior-heavy (11 of 25 roles at director+ level), signaling a transition from product development toward channel expansion and customer implementations at scale.
北京东华博泰was established in 2014 as a spinoff from Donghua Software, focusing on industrial big-data analytics and Industrial Internet applications. The company operates a platform called Avatar, designed to process structured, unstructured, and real-time data streams for large infrastructure operators in China. Primary customers are domestic heavy-asset sectors: power generation (thermal, nuclear, wind, hydro), electrical grids, petroleum, petrochemicals, and coal. The organization spans ~300 people across data science, ML engineering, and systems architecture. Current operational focus includes smart plant digitalization, integrated energy optimization, and field support during contracted operational periods.
Primary focus on energy and power infrastructure: nuclear, wind, hydro, thermal power generation, electrical grids, oil & gas, and coal operations in mainland China.
Avatar is the company's proprietary big-data analytics platform, designed to ingest and process structured, unstructured, and real-time data streams for industrial and energy sector clients, with integrated ML capabilities.
IoT protocols (MQTT, Modbus, BACnet, OPC), backend (Java, Python, MySQL, Oracle, Dameng), ML (TensorFlow, PyTorch, scikit-learn), frontend (React, Ant Design), and networking (Cisco, Huawei, H3C).