基于MLD的物联网感知层行为建模方法

Internet of things perception behavior modeling method based on MLD

针对物联网感知终端多样性、任务复杂等特点,采用混合逻辑动态(MLD)建模方法,推出物联网感知层测控过程行为统一表达式。首先,把物联网感知层测控过程行为用状态变量、输入变量和辅助变量来描述;其次,将物联网感知层测控过程行为中操作约束、逻辑规则和连续动态特性集成为带有混合整数不等式约束的状态方程形式。通过此模型可在宏观上把握系统过程行为,考虑系统操作约束、定性知识等因素,为测控系统协调优化奠定重要基础。结合建立机动车运行安全监测系统模型的应用实例,结果表明建模方法的可行性、合理性、有效性。

According to the diversity and complexity of the internet of things （IoT） perception terminal, the mixed logical dynamic （MLD） modeling method was adopted in this paper and the unified expression for loT perception layer measurement and control process behavior was derived. Firstly, the perception layer measurement and control process behavior was described by the state variables, input variables and auxiliary variables. Then, the operation constraint, logical rules and continuous dynamic characteristic can be integrated equation form. Through this model, it can be in as a mixed integer inequality constraint state the macro grasped the system process behavior The system operation constraints, qualitative knowledge factors can be considered. So it lays an important foundation for the optimization of coordination of the measurement and control system. lot perception layer behavior modeling method based on MLD is used to construct the vehicle operating safe state monitoring system model, and the result shows that the modeling method is feasible, reasonable and effective.