Intelligent safety systems for energy & production facilities

生产和能源行业的事故仍在发生。特别是随着其复杂性的增长和扩大而提高了生产率。随着生产过程实时优化的趋势和能源供应系统的引入，动态行为的引入导致了具有很大不确定性的动态危害情景。不幸的是，现有的安全设计方法和工具是基于严格的安全控制策略和固定的可靠性计算，这使得很难提供可行且经济有效的安全系统来处理这些动态风险场景。准确的安全设计主要基于完整的危害情景分析。然而，鉴于目前的危害识别和分析方法和工具，这是无法实现的。此外，在将故障和危险场景自动映射到安全需求方面存在局限性，这非常耗时。此外，缺乏对每个危险情景的目标和当前风险和可靠性的动态和准确计算，这对于指定目标安全系统和在不同/多个情景中提供可靠的保护至关重要。

Accidents are still occurring in production and energy industries. Especially with the growth and increase in their complexity and expansion for higher productivity. With the tendency to move towards real time optimization of production process and the introduction of energy supply systems, dynamic behaviours are introduced, which led to dynamic hazard scenarios with great uncertainties. Unfortunately, existing methods and tools of safety design are based on rigid safety control strategies and fixed reliability calculations, which made it difficult to provide viable and cost-effective safety systems that can deal with these dynamic risk scenarios. Accurate safety design is mainly based on complete hazard scenario analysis. However, this is not achievable in view of current hazard identification and analysis methods and tools. In addition, there are limitations in the automatic mapping of fault and hazard scenarios into safety requirements, which time consuming. Moreover, there is a lack of dynamic and accurate calculations of target and current risk and reliability for each hazard scenario, which is essential to specify target safety systems and to provide reliable protection in different/multiple scenarios. This research program will investigate methods and intelligent tools to support the design, verification, and operation of safety systems and their implementation in energy and production systems. Advanced methods will be investigated to automatically synthesize all possible hazard scenarios and the map to the corresponding safety requirements. Advanced real time and simulated risk assessment and qualitative and quantitative fault analysis and prediction techniques will be developed and applied to analyze and design safety systems. Safety control will synthesized for instrumented and non-instrumented safety systems Risk assessment techniques will be investigated to support safety system design and operation. The proposed intelligent safety systems will be applied on different energy technologies such as hydrogen, natural gas, solar, wind, geothermal, and other manufacturing and production systems.