AI-powered inspection and monitoring for solar and energy infrastructure
南京同庆科技 builds industrial software for renewable energy operators — solar plants, battery storage facilities, and manufacturing. Their stack spans Java/Spring Cloud backend, Python ML (TensorFlow, PyTorch), geospatial tools (GeoServer), and industrial protocols (MODBUS), paired with active projects in drone-based defect detection, large language models, and intelligent scheduling. The engineering-heavy org (8 engineers, 5 product) suggests they're moving beyond traditional SCADA toward AI-driven inspection and autonomous decision-making in energy assets.
南京同庆科技 develops software platforms for solar power plants, battery storage systems, and renewable energy manufacturing facilities across China. Their product suite includes drone-based photovoltaic inspection systems with defect detection (powered by computer vision), manufacturing execution systems (MES/MOM), energy management systems (EMS), and scheduling algorithms. The company operates with lean sales coverage but maintains technical depth in engineering and product; active projects range from real-time defect monitoring to LLM-based operational Q&A systems. Core operational pain points center on inspection speed, detection accuracy, and system stability across distributed energy sites.
Java, Spring Cloud, Python (TensorFlow, PyTorch), SQL Server, Oracle, MySQL, Redis, Kafka, GeoServer, RabbitMQ, Vue, and industrial tools like TDengine, MODBUS, and MES/EMS systems.
Drone-based solar plant inspection, defect detection via object recognition, LLM-based operational assistants, energy storage management systems, manufacturing execution systems, and intelligent scheduling algorithms for renewable assets.
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