Intelligent safety systems for energy & production facilities

生产和能源行业仍在发生事故。特别是随着其复杂性和扩展性的增长和增加，以提高生产力。随着生产过程向真实的时间优化方向发展的趋势和能源供应系统的引入，引入了动态行为，导致了具有很大不确定性的动态危险情景。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，这使得它难以提供可行的和具有成本效益的安全系统，可以处理这些动态风险的情况。准确的安全设计主要基于完整的危险情景分析。然而，鉴于目前的危险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要求方面存在限制，这是耗时的。此外，缺乏对每种危险情景的目标和当前风险及可靠性的动态和准确的计算，这对于具体说明目标安全系统和在不同/多种情景下提供可靠保护至关重要。 该研究计划将研究方法和智能工具，以支持安全系统的设计，验证和操作及其在能源和生产系统中的实施。将研究先进的方法，以自动综合所有可能的危险情景和相应安全要求的地图。将开发先进的真实的实时和模拟风险评估以及定性和定量故障分析和预测技术，并应用于分析和设计安全系统。将对仪表化和非仪表化安全系统的安全控制进行综合。将研究风险评估技术，以支持安全系统的设计和运行。拟议的智能安全系统将应用于不同的能源技术，如氢，天然气，太阳能，风能，地热和其他制造和生产系统。

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.