Design of intelligent manufacturing monitoring system for internet of things based on encryption technology and intrusion detection technology

Abstract

With the rapid development of intelligent manufacturing, energy consumption and safety issues have gradually attracted widespread attention. Heat loss not only leads to energy waste, but also may affect the efficiency of equipment operation and production safety. Therefore, this study aims to design an efficient iot intelligent manufacturing monitoring system, focusing on the synergistic effect of heat loss energy management and intrusion detection to improve energy utilization efficiency and optimize security monitoring. The system uses a sensor network to monitor the heat loss in the manufacturing environment in real time, and evaluates the energy efficiency performance combined with data analysis algorithms. Through intrusion detection technology, real-time monitoring of system security, using machine learning models to identify abnormal behavior. Integrate heat loss management and security monitoring to build an intelligent manufacturing platform based on the Internet of Things. The experimental results show that the monitoring system can effectively reduce the energy heat loss and improve the accuracy of intrusion detection. The implementation of the system significantly improves the energy efficiency and safety of the production line, reducing potential safety hazards. Therefore, the iot intelligent manufacturing monitoring system designed in this paper effectively integrates heat loss energy management and intrusion detection technology, and provides an efficient solution for intelligent manufacturing.