This patent innovatively proposes an intelligent monitoring solution based on the Internet of Things and cloud computing. This patent uses sensors to collect machine tool vibration, temperature, processing parameters and other operating data in real time, and transmits it to the cloud after pre-processing using edge computing, for big data analysis and machine learning modeling, to achieve equipment status monitoring, fault warning and energy efficiency optimization. The system adopts a layered architecture, supports multi-protocol compatibility and cross-platform access, and ensures information security through data encryption and permission management. Its innovation lies in the integration of adaptive sampling technology and dynamic threshold algorithm, which improves the accuracy of anomaly detection while reducing communication costs, helping manufacturing companies to achieve predictive maintenance and remote operation and maintenance, and significantly improve equipment utilization and production efficiency.