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

PROSAFE将机器学习、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相结合，提出了一个新的多学科领域的博士培训计划。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，以解决安全和可持续过程工业中这一非常重要的社会、经济和环境挑战。PROSAFE的研究目标是：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：使用领域知识开发AI和ML（可解释ML）模型，以实现高效、安全和可靠的操作3：开发基于模型和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：PROSAFE的主要培训目标是：1 .通过结合过程安全领域内人工智能、机器学习和PSE领域多学科能力的单个项目培训博士候选人（DCs） 2 .在工业相关案例研究中展示和验证PROSAFE的新概念和方法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建立并试点一个真正跨学科的欧洲多中心培训计划，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将为实现新的人工智能范式的巨大潜力做出贡献，特别是在过程工业的过程安全方面。

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.