I-Corps: Artificial Intelligence (AI)-assisted sustainable cement manufacturing technology

这个I-Corps项目的更广泛的影响/商业潜力是开发用于建造可持续水泥建筑材料的计算技术。 水泥制造业是世界上规模最大、能源和碳密集度最高的行业之一。降低水泥生产的能源成本和碳足迹可能为提高盈利能力和降低环境影响提供机会。研究科学家和决策者可以使用所提出的技术来提高水泥材料和制造工艺的性能、可持续性和经济价值。 提高胶凝材料制造和产品质量的可持续性的途径是低能源投入，从而实现低碳足迹和高经济效益。最终用户包括产品制造商、水泥和混凝土外加剂公司、规范和标准委员会以及公共决策者。该技术对于确保开发计划和执行方式与可持续性的准确观点一致可能非常重要。该I-Corps项目基于水泥材料和制造过程的数据驱动物理和化学建模的开发。该技术集成了先进的反应过程模拟，胶凝材料建模，人工智能优化和机器学习算法。该技术有可能有效地为低成本、低碳、高性能的胶凝材料和基于用户定义标准的制造业提供最佳操作条件。此外，一个用户友好的平台是拟议设计的一部分，以促进人工智能技术的使用，以提高建筑材料行业的可持续性。该奖项反映了NSF的法定使命，并已被认为是值得支持的评估使用基金会的智力价值和更广泛的影响审查标准。

The broader impact/commercial potential of this I-Corps project is the development of a computational technology for building sustainable cement construction materials. Cement manufacturing is one of the largest and most energy and carbon-intensive industries in the world. Reducing the energy costs and the carbon footprint of cement manufacturing may offer an opportunity to improve profitability and lower environmental impact. The proposed technology may be used by research scientists and decision makers to improve performance, sustainability, and economic value of the cementitious materials and manufacturing process. The pathway for improving the sustainability of cementitious material manufacturing and product quality is low energy input, leading to a low carbon footprint and high economic benefits. End users include product manufacturers, cement and concrete admixture companies, codes and standards committees, and public decision-makers. This technology may be important to ensuring development is planned and conducted in a manner that is consistent with an accurate view of sustainability.This I-Corps project is based on the development of data-driven physical and chemical modeling for cement materials and manufacturing process. The proposed technology integrates the advanced reaction process simulation, cementitious materials modeling, and artificial intelligence optimization and machine learning algorithms. The technology has the potential to effectively provide optimal operational conditions for low-cost, low-carbon, high-performance cementitious materials and a manufacturing industry based on user-defined criteria. In addition, a user-friendly platform is a part of the proposed design to facilitate the use of artificial intelligence technology in improving the sustainability of construction materials industry.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.