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基于mld的物联网感知层行为建模方法

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作者:许建龙, 刘桂雄

作者单位:华南理工大学机械与汽车工程学院, 广东 广州 510640


关键词:物联网; 感知层; 混合逻辑动态; 机动车运行安全监测


摘要:

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。


internet of things perception behavior modeling method based on mld

xu jian-long, liu gui-xiong

school of mechanical and automotive engineering, south china university of technology, guangzhou 510640, china

abstract: 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 iot 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 as a mixed integer inequality constraint state equation form.through this model, it can be in 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.iot 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.

keywords: internet of things; perception layer; mld; vehicle operating safe state monitoring

2013, 39(5): 110-115  收稿日期: 2013-1-30;收到修改稿日期: 2013-3-17

基金项目: 粤港关键领域重点突破项目(2012a090200005);广东省高等学校高层次人才项目(粤教师函[2010]79号文)

作者简介: 许建龙(1982-),男,广东汕头市人,博士,主要从事智能传感与检测技术研究。

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