Smart Integration of Process Systems Engineering & Machine Learning for Improved Process Safety in Process Industries (PROSAFE)

过程系统工程智能集成

• 批准号: EP/Y037111/1
• 负责人: Alessandra Russo
• 金额: $ 66.43万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY037111%2F1
• 关键词: Smart; Integration; Process; Systems; Engineering

PROSAFE proposes a novel doctoral training program in the multidisciplinary field combining machine learning, artificial intelligence, and process systems engineering with domain knowledge of process industry and process safety. PROSAFE will pioneer new foundations by integrating Quantitative Risk Assessment, Process Systems Engineering (PSE) with interpretable machine learning (ML) and artificial intelligence (AI) disciplines as targeted breakthroughs to achieve the objectives. To this end, PROSAFE will develop new synergistic tools and train skilled professionals to address this very important societal, economic, and environmental challenge of safe and sustainable process industries. PROSAFE research objectives are: 1: Harmonize robust QRA methods and implementation strategies for effective and improved risk assessment and process safety 2: Develop AI and ML (interpretable ML) models using domain knowledge for efficient, safe, and reliable operations 3: Develop synergistic integration of model-based with data-based methods for improved process safety operation and monitoring 4: Demonstration and validation of PROSAFE novel concepts and methods on industrial relevant case studies for safer operation PROSAFE's major training objectives are: 1: Training of doctoral candidates (DCs) through individual projects combining multidisciplinary competences in the areas of AI, ML, and PSE within the domain of process safety 2: Establish and pilot the concept of a truly interdisciplinary European multi-center training program in AI/ML, QRA, and PSE within the domain of safety in process industries through relevant network-wide events, courses, workshops, and on-site industry training that complements training in soft skills for effective communication and entrepreneurship. Through this research and training program, PROSAFE will contribute to realizing the promising potential of the new artificial intelligence paradigm with a particular focus on process safety in process industries.

PROSAFE提出了一个新的博士培训计划，在多学科领域结合机器学习，人工智能和过程系统工程与过程工业和过程安全的领域知识。PROSAFE将通过将定量风险评估、过程系统工程（PSE）与可解释的机器学习（ML）和人工智能（AI）学科相结合，开拓新的基础，作为实现目标的有针对性的突破。为此，PROSAFE将开发新的协同工具，并培训熟练的专业人员，以应对安全和可持续过程工业的这一非常重要的社会，经济和环境挑战。PROSAFE的研究目标是：一曰：协调可靠的QRA方法和实施策略，以实现有效和改进的风险评估和流程安全2：开发AI和ML 3.开发基于模型的方法与基于数据的方法的协同集成，以改进过程安全操作和监控4：示范和验证PROSAFE的新概念和方法在工业相关的案例研究，以更安全的操作PROSAFE的主要培训目标是：1：通过结合过程安全领域内AI、ML和PSE领域多学科能力的单个项目培训博士生（DC）2：通过相关的网络范围内的活动，课程，研讨会和现场行业培训，在过程工业安全领域内建立和试点真正跨学科的欧洲多中心培训计划的概念，以补充有效沟通和创业的软技能培训。通过这项研究和培训计划，PROSAFE将有助于实现新的人工智能范式的巨大潜力，特别关注过程工业的过程安全。