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 提出了一种新颖的多学科领域博士培训计划，将机​​器学习、人工智能、过程系统工程与过程工业和过程安全领域知识相结合。 PROSAFE 将通过将定量风险评估、过程系统工程 (PSE) 与可解释机器学习 (ML) 和人工智能 (AI) 学科相结合，作为实现目标的有针对性的突破，开创新的基础。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这一非常重要的社会、经济和环境挑战。 PROSAFE 研究目标是： 1：协调稳健的 QRA 方法和实施策略，以实现有效和改进的风险评估和过程安全 2：利用领域知识开发 AI 和 ML（可解释的 ML）模型，以实现高效、安全和可靠的操作 3：开发协同集成基于模型和基于数据的方法，以改进过程安全操作和监控 4：在工业相关案例研究中演示和验证 PROSAFE 新概念和方法，以实现更安全的操作 PROSAFE 的主要培训目标是： 1：通过在过程安全领域内结合人工智能、机器学习和 PSE 领域多学科能力的单个项目对博士生 (DC) 进行培训 2：建立并试点真正跨学科的欧洲多中心人工智能培训计划的概念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/ML、QRA 和 PSE，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 将有助于实现新人工智能范式的巨大潜力，特别关注过程工业中的过程安全。