◕ Industrial IoT Architecture and Platforms

Design and validation of Industrial IoT architectures

Cloud-edge collaborative architectures

Unified device management and access platforms

Application of microservices architecture in Industrial IoT

Construction and management of self-organizing networks

Virtualization and network slicing technologies

◕ Sensor Networks and Data Acquisition

Multimodal sensor fusion technologies

Low-power wireless sensor design

Adaptive topology optimization of sensor networks

Time-series data synchronization and calibration

Fault diagnosis and fault-tolerant mechanisms for sensor nodes

◕ Industrial Big Data and Intelligent Analytics

Distributed industrial data storage and processing

Deep learning-based anomaly detection

Application of graph neural networks in equipment relationship modeling

Real-time streaming data processing and analysis

Multi-source data fusion and semantic modeling

Optimization of predictive maintenance strategies

◕ Industrial Wireless Communication Technologies

Low-latency and high-reliability wireless communication protocols

Multi-spectrum sharing technologies

Application of MIMO technology in industrial scenarios

Ultra-Reliable Low-Latency Communication (URLLC) technologies and implementation

Industrial millimeter-wave communication system design

Dynamic spectrum management and interference coordination

◕ Network Security and Privacy Protection

Design of intrusion detection systems (IDS) for Industrial IoT

Lightweight cryptographic algorithms and security protocols

Blockchain technologies for industrial data security

Trusted computing applications on industrial nodes

Security incident response and recovery mechanisms

Industrial data anonymization techniques

◕ Intelligent Manufacturing and Industrial Automation

IoT-based intelligent manufacturing process design

Optimization of smart production line scheduling

Industrial robot visual navigation

Automated quality inspection systems

Industrial flexible manufacturing units

Intelligent feedback control in production processes

◕ Artificial Intelligence and Deep Learning

Industrial control based on deep reinforcement learning

Application of image recognition technologies in equipment fault detection

Natural language processing applied to industrial equipment maintenance

Intelligent algorithms for industrial process optimization

Federated learning for industrial data privacy protection

Transfer learning and model adaptation

◕ Edge Computing and Distributed Systems

Resource scheduling for edge computing nodes

Acceleration of AI inference at the edge

Distributed real-time monitoring systems

Local preprocessing solutions for industrial data

Data consistency management between edge and cloud

Fault tolerance and load balancing algorithms

◕ Model Simulation and Digital Twin

Multi-robot task allocation and scheduling

Joint path planning and obstacle avoidance

Robot communication protocols and relay technologies

Safe human-robot collaboration (Cobot)

Robot perception and environment modeling

Fault-tolerant design for autonomous systems