Research on Industrial Internet Data Collection Application Based on Raspberry Pi

This study designed an edge computing system based on Raspberry Pi, which improved the real-time and effectiveness of industrial data through data collection, processing algorithms and model simulation. The system uses industrial protocols to realize data collection from multiple sensors, and completes preliminary data processing and feature extraction through the algorithm module of the edge node. The simulation part uses precise data analysis technology to evaluate the system performance. The results show that the scheme performs well in terms of latency and bandwidth occupancy, and significantly reduces the data transmission load. The reliability and scalability of the edge computing system based on Raspberry Pi in complex industrial environments have been verified. Through the research and implementation of this system, the application potential of Raspberry Pi in industrial Internet data collection is demonstrated, which provides a technical reference for the further development of intelligent manufacturing and lays the foundation for the promotion and application of edge computing in the industrial field.