The connectivity of devices and systems in the Industrial Internet of Things (IIoT) enables interoperability and collaboration between industrial systems. Device access is the pathway to achieve connectivity, while protocol matching is the basis for device access. Protocol matching is a complex task due to the diverse range of device types, numerous protocols, the issues related to protocol privatization, and the reliance on domain knowledge. These complexities result in inefficient device access. To improve the device access efficiency, a Device Protocol Matching Model (DPMM) is proposed in this paper, which uses only the basic device information to find the best-matched protocol, including protocol identification and basic data. The DPMM adopts a two-stage strategy, consisting of an ontology creation stage and a protocol matching stage. In the ontology creation stage, a simplified device ontology is built to enable the uniform expression of device information and the representation of domain knowledge. In the protocol matching stage, a protocol matcher based on the Two-layer Cooperative Iteration (TCI) algorithm is designed to find the best-matched protocol. In the TCI, to achieve the global optimization of protocol matching efficiency, a penalty mechanism-based weight update method and learning-based matcher evolution are designed. Experiments in two scenarios: a communication base station and a copper smelting production line, are conducted to validate the effectiveness of the DPMM. The experimental results demonstrate that the DPMM can achieve automatic protocol matching with an average matching index of 80.3% and an average hit rate of 35.1%. Moreover, it significantly reduces network resource consumption by up to 96.7%, and increases the hit rate by up to 12.1 times compared with the existing methods.

中文翻译：

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使用设备协议匹配模型提高设备访问效率


工业物联网 （IIoT） 中设备和系统的连接性实现了工业系统之间的互操作性和协作。设备访问是实现连接的途径，而协议匹配是设备访问的基础。由于设备类型多样、协议众多、与协议私有化相关的问题以及对领域知识的依赖，协议匹配是一项复杂的任务。这些复杂性导致设备访问效率低下。为了提高设备接入效率，该文提出一种设备协议匹配模型（DPMM），该模型仅使用设备基本信息来查找最佳匹配的协议，包括协议标识和基本数据。DPMM 采用两阶段策略，包括本体创建阶段和协议匹配阶段。在本体创建阶段，构建简化的设备本体，实现设备信息的统一表达和领域知识的表示。在协议匹配阶段，设计了基于两层协同迭代 （TCI） 算法的协议匹配器，以寻找最匹配的协议。在 TCI 中，为了实现协议匹配效率的全局优化，设计了一种基于惩罚机制的权重更新方法和基于学习的匹配器进化。在通信基站和铜冶炼生产线两个场景中进行了实验，以验证 DPMM 的有效性。实验结果表明，DPMM 能够实现协议自动匹配，平均匹配指数为 80.3%，平均命中率为 35.1%。此外，它还显著降低了高达 96.7% 的网络资源消耗，并将命中率提高了高达 12 个。是现有方法的 1 倍。