论文信息 - Performance and Cost Analysis of an NB-IoT based Smart Factory Solution with OneNet Cloud

Performance and Cost Analysis of an NB-IoT based Smart Factory Solution with OneNet Cloud

Based on the Internet of Things (IoT), the smart factory, aims to strengthen producibility and provide a system for manufacturing information management. The implementation of the smart factory usually raises worries regarding network reliability and cost. In this paper, a cost friendly and easily implemented smart factory solution is proposed and verified in a real factory environment, with China Mobile's NB-IoT network and OneNet PaaS platform. The measurement results proved its efficiency in typical smart factory use cases, and it is economical in both implementation and operation.

Yi Zhou | En Tong | Yan Lu | Fei Ding | Jingye Wu

[1] Rumi Ghosh,et al. Manufacturing Analytics and Industrial Internet of Things , 2017, IEEE Intelligent Systems.

[2] Richard Zurawski. Industrial Communication Technology Handbook, Second Edition , 2014 .

[3] Vicente Climente-Alarcon,et al. Condition monitoring of electrical machines and its relation to industrial internet , 2015, 2015 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD).

[4] Jaeho Kim,et al. M2M Service Platforms: Survey, Issues, and Enabling Technologies , 2014, IEEE Communications Surveys & Tutorials.

[5] Haw Ching Yang,et al. Development of Advanced Manufacturing Cloud of Things (AMCoT)—A Smart Manufacturing Platform , 2017, IEEE Robotics and Automation Letters.

[6] Stefan Forsström,et al. A performance and cost evaluation of combining OPC-UA and Microsoft Azure IoT Hub into an industrial Internet-of-Things system , 2017, 2017 Global Internet of Things Summit (GIoTS).

[7] Antonio Pescapè,et al. On the Integration of Cloud Computing and Internet of Things , 2014, 2014 International Conference on Future Internet of Things and Cloud.

[8] Peter C. Evans. Pushing the Boundaries of Minds and Machines , 2012 .

[9] M. Anusha,et al. Big Data-Survey , 2016 .

[10] Lin Li,et al. Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance , 2017, IEEE Access.