A Global Study of Green Cement Intelligent Manufacturing Based on Artificial Intelligence

Abstract

This paper delves into the exploration of artificial intelligence (AI) applications in the cement industry, with a particular emphasis on the manufacturing of green cement. It investigates current situation and difficulties in the cement industry, such as the lack of self-developed software. Then, this paper suggests AI-based solutions to overcome these hurdles. The study discusses three key intelligent manufacturing technologies that have the potential to revolutionize the cement industry. These include the identification of abnormal working conditions, prediction of cement compressive strength, and the application of digital twin technology. Through various case studies, the transformative potential of these technologies is analyzed, providing a comprehensive understanding of their impact on the cement industry. This paper further examines the influence of green low-carbon intelligent manufacturing on China's cement production capacity. It highlights how the adoption of these technologies can lead to more sustainable and efficient practices in the cement industry. The study concludes with recommendations for the application of AI in cement and other process industries, emphasizing the need for embracing AI to enhance sustainability and efficiency. The overarching aim of this study is to illuminate the prospects of AI in augmenting the sustainability and efficiency of the cement industry, thereby contributing to the broader discourse on AI applications in industrial processes.