Li Weimin, Wang Bin, Sheng Jinfang, Dong Ke, Li Zitong, Hu Yixiang
School of Information Science and Engineering, Central South University, Changsha 410083, China.
School of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China.
Sensors (Basel). 2018 Mar 26;18(4):981. doi: 10.3390/s18040981.
The Internet of Things (IoT) has received a lot of attention, especially in industrial scenarios. One of the typical applications is the intelligent mine, which actually constructs the Six-Hedge underground systems with IoT platforms. Based on a case study of the Six Systems in the underground metal mine, this paper summarizes the main challenges of industrial IoT from the aspects of heterogeneity in devices and resources, security, reliability, deployment and maintenance costs. Then, a novel resource service model for the industrial IoT applications based on Transparent Computing (TC) is presented, which supports centralized management of all resources including operating system (OS), programs and data on the server-side for the IoT devices, thus offering an effective, reliable, secure and cross-OS IoT service and reducing the costs of IoT system deployment and maintenance. The model has five layers: sensing layer, aggregation layer, network layer, service and storage layer and interface and management layer. We also present a detailed analysis on the system architecture and key technologies of the model. Finally, the efficiency of the model is shown by an experiment prototype system.
物联网（IoT）已受到广泛关注，尤其是在工业场景中。典型应用之一是智能矿山，它实际上利用物联网平台构建了六系统地下体系。基于地下金属矿山六系统的案例研究，本文从设备与资源的异构性、安全性、可靠性、部署和维护成本等方面总结了工业物联网的主要挑战。然后，提出了一种基于透明计算（TC）的工业物联网应用新型资源服务模型，该模型支持在服务器端对物联网设备的所有资源（包括操作系统（OS）、程序和数据）进行集中管理，从而提供高效、可靠、安全且跨操作系统的物联网服务，并降低物联网系统的部署和维护成本。该模型有五层：感知层、汇聚层、网络层、服务与存储层以及接口与管理层。我们还对该模型的系统架构和关键技术进行了详细分析。最后，通过一个实验原型系统展示了该模型的效率。
