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Author:

Wang, Shengjie (Wang, Shengjie.) | Yan, Hairong (Yan, Hairong.)

Indexed by:

CPCI-S

Abstract:

With the digital development of the industry, the deployment of IoT devices has developed rapidly, and higher requirements have been placed on the management of the devices and the large amount of data generated. To achieve the real Internet of Things, the Internet of Things cloud platform is indispensable. The traditional IoT web server communication platform has the disadvantages of large system resource consumption, long system response time, and poor real-time transmission of information. This paper proposes a cloud platform-based IoT monitoring system solution based on the advantages of the security and stability of the cloud platform and super-computing capabilities. This system uses the MQTT protocol to be compatible with different devices to achieve remote control and data collection of IoT devices. The real-time push solution based on Redis and WebSocket is used to display the collected data of the IoT device on the chart in real time with the help of the E-Chart plug-in. In this article, we explained the architecture of the framework of the solution, and solved the identified challenges of data communication and device concurrency in this field, as well as the real-time nature of the IoT data. Finally, the real-time performance and reliability of our solution are evaluated based on the use case scenario experimental data. Not only is the operation simple, but it is also compatible with the two software platforms of Windows and Linux, which can meet the needs of the Internet of Things monitoring system.

Keyword:

IoT device monitoring MQTT real-time push

Author Community:

  • [ 1 ] [Wang, Shengjie]Beijing Univ Technol, Software Coll, Beijing, Peoples R China
  • [ 2 ] [Yan, Hairong]Beijing Univ Technol, Software Coll, Beijing, Peoples R China
  • [ 3 ] [Yan, Hairong]Beijing Univ Technol, Dept Informat, Beijing, Peoples R China

Reprint Author's Address:

  • [Wang, Shengjie]Beijing Univ Technol, Software Coll, Beijing, Peoples R China

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Source :

PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020)

Year: 2020

Page: 61-64

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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