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IoT Device Integration
IoT device integration is a key technology to realize multi-source IoT device interconnection, data interoperability and intelligent linkage through a unified platform. The system architecture usually contains device layer, communication layer, platform layer and application layer: the device layer needs to be compatible with different vendors' sensors, controllers and other heterogeneous hardware, Modern IoT platforms are more integrated with AI capabilities to achieve equipment anomaly prediction and adaptive optimization, and promote the deep integration of the physical world and digital systems.
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Private AIoT Cloud Platform
Private AIoT cloud platform is an intelligent IoT hub built by enterprises based on proprietary infrastructure, realizing autonomous and controllable IoT data management and intelligent services by integrating cloud computing, AI and edge computing technologies. private certificate management system. Current technology trends emphasize lightweight container deployment and Kubernetes orchestration capabilities to support rapid elastic expansion, while combining federated learning to achieve privacy-preserving AI co-training among multi-branch nodes.
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Self-developed AI algorithms
The self-developed AI algorithm platform is an intelligent development hub based on the enterprise's core technology, focusing on the whole chain of algorithm research and development, model training and scene landing. The platform's unique automatic hyper-parameter optimization and lightweight model compression technology can help enterprises reduce computing costs and improve reasoning efficiency.
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Digital Twin Simulation
The digital twin simulation solution establishes virtual mirrors of physical objects through high-precision modeling and real-time data mapping to achieve dynamic simulation and predictive optimization of the whole life cycle. Its core technology integrates 3D geometric modeling (based on CAD/BIM), multi-physics field simulation engine and artificial intelligence algorithms, supporting multi-disciplinary coupled analysis of mechanical structure, fluid mechanics, electromagnetic compatibility and so on. In the field of smart city, it can simulate traffic flow, building energy consumption and natural disaster emergency response.
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