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Evaluation of Safety Rules in a Safety Kernel-Based Architecture

机译:基于安全内核的体系结构中的安全规则评估

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Kernel-based architectures have been proposed as a possible solution to build safe cooperative systems with improved performance. These systems adjust their operation mode at run-time, depending on the actual quality of sensor data used in control loops and on the execution timeliness of relevant control functions. Sets of safety rules, denned at design-time, express the conditions concerning data quality and timeliness that need to be satisfied for the system to operate safely in each operation mode. In this paper we propose a solution for practically expressing these safety rules at design-time, and for evaluating them at run-time. This evaluation is done using periodically collected information about safety-related variables. For expressing the rules we adopt the XML language. The run-time solution is based on a safety rules evaluation engine, which was designed for efficiency and scalability. We describe the architecture of the engine, the solution for structuring data in memory and the rule evaluation algorithm. A simple sensor-based control system is considered to exemplify how the safety rules are expressed.
机译:已经提出了基于内核的体系结构作为构建具有改进性能的安全协作系统的可能解决方案。这些系统在运行时根据控制回路中使用的传感器数据的实际质量以及相关控制功能的执行及时性来调整其运行模式。在设计时定义的安全规则集表达了有关数据质量和及时性的条件,这些条件是系统在每种操作模式下安全运行所需要满足的。在本文中,我们提出了一种解决方案,可在设计时实际表达这些安全规则,并在运行时对其进行评估。使用定期收集的有关安全相关变量的信息进行此评估。为了表达规则,我们采用XML语言。运行时解决方案基于安全规则评估引擎,该引擎旨在提高效率和可伸缩性。我们描述了引擎的体系结构,用于在内存中构造数据的解决方案以及规则评估算法。考虑了一个简单的基于传感器的控制系统,以举例说明如何表达安全规则。

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