基于规则推理的实时信息物理监控系统
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国家重点研发计划(2018YFB0904505); 北京市科委项目(KJY20190971)


Real-Time Cyber-Physical Monitoring and Control System Based on Rule Inference
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    摘要:

    基于规则的CPS监控方法在降低监控复杂度和提升监控灵活性等方面具有显著优势. 目前基于规则的CPS监控方法未考虑CPS监控场景的时间约束, 仅仅利用各种优化技术来缩短监控的响应时间. 为此, 本文基于实时规则引擎建立了一个CPS的实时监控系统RTCPMS. 该系统采用Rete网络表示监控规则, 其核心是一个新的实时推理算法Rete-TC. Rete-TC算法引入了规则截止期, 通过基于优先级的Beta节点调度方法, 使得CPS监控的时间约束尽可能地被满足. 模拟实验与智慧建筑应用案例验证了RTCPMS系统的有效性, 且实验结果表明其核心算法Rete-TC的调度成功率优于传统的规则推理算法Rete.

    Abstract:

    Rule-based CPS monitoring methods have significant advantages in reducing monitoring complexity and improving monitoring flexibility. Currently, rule-based CPS monitoring methods do not consider the timing constraints of CPS monitoring scenarios, and only use various optimization techniques to shorten the response time. Based on the real-time rule engine, a real-time monitoring system of CPS, RTCPMS, is established. The system uses Rete network to represent the monitoring rules, and its core is a new real-time inference algorithm Rete-TC. The Rete-TC algorithm introduces the rule deadline, and the timing constraints of CPS monitoring is satisfied as much as possible by the priority-based Beta node scheduling method. The simulation experiment and smart building application case verify the effectiveness of the RTCPMS, and the experimental results show that the core algorithm Rete-TC has a better scheduling success ratio than the traditional rule inference algorithm Rete.

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彭程,乔颖,王宏安.基于规则推理的实时信息物理监控系统.计算机系统应用,2020,29(7):70-81

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历史
  • 收稿日期:2019-11-25
  • 最后修改日期:2019-12-19
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  • 在线发布日期: 2020-07-04
  • 出版日期: 2020-07-15
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