Intellectual property protection of green manufacturing forming technology based on machine learning and internet of things

As a pillar industry of the global economy, the impact of manufacturing on the environment is becoming increasingly prominent, and the issue of intellectual property protection for green manufacturing forming technology is also gradually becoming prominent. This article aims to explore the application of machine learning and the internet of things in green manufacturing shaping technology, and propose corresponding intellectual property protection measures to promote the green development of the manufacturing industry. Machine learning can improve product quality and production efficiency by analyzing a large amount of data, optimizing production processes and resource utilization. The internet of things connects various devices and sensors to achieve intelligent and automated production processes, further improving the effectiveness of green manufacturing. This article proposes corresponding intellectual property protection methods for the application of machine learning and the internet of things in green manufacturing molding technology, and takes technical measures to prevent technology from being illegally copied or stolen. Through experiments and case analysis, the effectiveness of machine learning and the internet of things in green manufacturing shaping technology has been verified. The application of machine learning and the internet of things can significantly improve the green manufacturing capacity of the manufacturing industry, and provide certain guidance and basis for intellectual property protection. The manufacturing industry should attach importance to the research and application of these technologies, and take corresponding intellectual property protection measures to promote the development of green manufacturing.