Intelligent safety systems for energy & production facilities

能源智能安全系统

• 批准号: 372179-2011
• 负责人: Gaber, Hossam
• 金额: $ 1.46万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=572859
• 关键词: Intelligent; safety; systems; energy; production

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.

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增加，以及为了更高的生产率而进行的扩展。随着生产过程的实时优化和能源供应系统的引入，引入了动态行为，这导致了具有很大不确定性的动态危险情景。遗憾的是，现有的安全设计方法和工具都是基于僵化的安全控制策略和固定的可靠性计算，这使得很难提供能够应对这些动态风险情景的可行的、具有成本效益的安全系统。准确的安全设计主要是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，这是不可能实现的。此外，在将故障和危险情景自动映射到安全要求方面存在局限性，这很耗时。此外，缺乏对每一种危险情景的目标和当前风险和可靠性的动态和准确计算，这对于确定目标安全系统和在不同/多种情景中提供可靠保护至关重要。 这项研究计划将研究方法和智能工具，以支持安全系统的设计、验证和运行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符合相应安全要求的地图。先进的实时和模拟风险评估以及定性和定量的故障分析和预测技术将被开发和应用于安全系统的分析和设计。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，如氢气、天然气、太阳能、风能、地热和其他制造和生产系统。