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Sensor Graphs for Discrete Event Modeling Applied to Formal Verification of PLCs

机译:用于离散事件建模的传感器图应用于PLC的形式验证

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This paper introduces Sensor Graphs, a discrete event modeling language directed at physical systems with binary and identity sensors (e.g., RFID). The aim of Sensor Graphs is to simplify the modeling of the plant/process that is to be controlled by a discrete controller, for example a programmable logic controller (PLC); thereby making formal verification and other model-based formal methods more applicable for PLC programmers. The formal syntax and semantics of Sensor Graphs are defined and a compact graphical representation is presented. The language is exemplified by modeling a conveyor module and a lab process. For comparison, the latter is also modeled using Statecharts and Net Condition/Event systems. A controller, modeled as a discrete state equation, can be composed with a Sensor Graph of the process in order to form a model of the closed-loop system. It is demonstrated how requirements on such a closed-loop system, based on a PLC program and a Sensor Graph process model, can be formally verified using the model checker Cadence SMV.
机译:本文介绍了Sensor Graphs(传感器图),这是一种针对具有二进制和身份传感器(例如RFID)的物理系统的离散事件建模语言。传感器图的目的是简化由离散控制器(例如可编程逻辑控制器(PLC))控制的工厂/过程的建模;从而使形式验证和其他基于模型的形式方法更适用于PLC程序员。定义了传感器图的形式语法和语义,并给出了紧凑的图形表示形式。通过对传送器模块和实验室过程进行建模来举例说明该语言。为了进行比较,还使用Statecharts和Net Condition / Event系统对后者进行了建模。可以将建模为离散状态方程的控制器与过程的传感器图组合在一起,以形成闭环系统的模型。演示了如何使用模型检查器Cadence SMV正式验证基于PLC程序和Sensor Graph过程模型的这种闭环系统的要求。

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