The Industrial Internet of Things (IIoT) has the potential to deeply change the technological landscape in factories, transforming the way automation procedures are performed and relevant objects are identified. For that, however, reliability and performance issues have to be considered when providing the expected communication services. When employing Radio-Frequency Identification (RFID) in an IIoT context, previous works have struggled to improve the efficiency of RFID-complaint systems, usually defining mathematical models for planning and quality assessment. Nevertheless, such models are designed based on error-free communications, which are unreal when considering the error-prone nature of wireless communications in industrial plants. Therefore, this article defines a new formal model based on Generalized Stochastic Petri Nets (GSPN) for RFID communications, modelling different possibilities for errors between readers and RFID tags. Since this proposal employs the EPCglobal UHF Class 1 Gen2 parameters as reference, which are already adopted by the Dynamic Frame Slotted Aloha anti-collision protocol for passive RFID systems, this model can be exploited to assess the reliability and performance of different RFID medium access protocols when assuming noisy channels, supporting better comparisons among different algorithms and protocols. Simulation scenarios are defined to present reliability and performance results when assessing RFID tags reading, which are valuable when designing and maintaining IIoT applications.

工业物联网（IIoT）有可能深刻改变工厂的技术格局，改变执行自动化程序和识别相关对象的方式。但是，为此，在提供预期的通信服务时必须考虑可靠性和性能问题。在IIoT环境中采用射频识别（RFID）时，以前的工作一直在努力提高RFID投诉系统的效率，通常会为规划和质量评估定义数学模型。然而，这种模型是基于无差错通信设计的，考虑到工业工厂中无线通信容易出错的特性，这是不现实的。因此，本文定义了一种基于广义随机Petri网（GSPN）的RFID通讯新形式模型，该模型对读取器与RFID标签之间的错误可能性进行了建模。由于该提案采用了EPCglobal UHF Class 1 Gen2参数作为参考，动态帧时隙Aloha防冲突协议已将这些参数用于无源RFID系统，当采用噪声信道时，可以利用此模型评估不同RFID介质访问协议的可靠性和性能，支持在不同算法和协议之间进行更好的比较。定义了仿真方案，以在评估RFID标签读取时呈现可靠性和性能结果，这在设计和维护IIoT应用程序时很有价值。