research-article

Design of intelligent environmental gateway platform based on Zynq-7000

Authors:

Kai Song,

Zhangqin Huang,

Han GaoAuthors Info & Claims

ICAIP '18: Proceedings of the 2nd International Conference on Advances in Image Processing

Pages 133 - 137

https://doi.org/10.1145/3239576.3239604

Published: 16 June 2018 Publication History

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Abstract

As an extension and expansion of the Internet, the Internet of Things (IoT) has the characteristics of "comprehensive perception, seamless interconnection, highly intelligent", and is regarded as the third wave of information technology. The Internet of Things gateway is located between the perceptual network and the telecom network, and realizes information exchange and communication among heterogeneous networks. It is the key network element device that promotes the development of Internet of Things technology. In this paper, aiming at the problems of single function and poor scalability of traditional environmental data acquisition system, we designed an intelligent environmental gateway platform. The gateway platform uses ARM + FPGA architecture based on Zynq-7000 All Programmable SoC (AP SoC), uses PetaLinux which is designed specifically for FPGA-based system-on-chip as the Embedded Linux Development Kit, and utilizes 4G LTE communication technology to report real-time environmental data to remote service platform. The experimental results show that the system is stable, reliable and scalable, and the software and hardware have achieved the desired effect and function.

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Cited By

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Han CLiu XLiu BZhang Q(2022)Design of Embedded Remote Software Update System Based on FPGA+ARMJournal of Interconnection Networks10.1142/S021926592143040422:Supp02Online publication date: 28-Jan-2022
https://doi.org/10.1142/S0219265921430404
Ruiz-Rosero JRamirez-Gonzalez GKhanna R(2019)Field Programmable Gate Array Applications—A Scientometric ReviewComputation10.3390/computation70400637:4(63)Online publication date: 11-Nov-2019
https://doi.org/10.3390/computation7040063

Index Terms

Design of intelligent environmental gateway platform based on Zynq-7000
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Embedded software

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Published In

ICAIP '18: Proceedings of the 2nd International Conference on Advances in Image Processing

June 2018

261 pages

ISBN:9781450364607

DOI:10.1145/3239576

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
Southwest Jiaotong University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2018

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ICAIP '18

ICAIP '18: 2018 the 2nd International Conference on Advances in Image Processing

June 16 - 18, 2018

Chengdu, China

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Cited By

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Han CLiu XLiu BZhang Q(2022)Design of Embedded Remote Software Update System Based on FPGA+ARMJournal of Interconnection Networks10.1142/S021926592143040422:Supp02Online publication date: 28-Jan-2022
https://doi.org/10.1142/S0219265921430404
Ruiz-Rosero JRamirez-Gonzalez GKhanna R(2019)Field Programmable Gate Array Applications—A Scientometric ReviewComputation10.3390/computation70400637:4(63)Online publication date: 11-Nov-2019
https://doi.org/10.3390/computation7040063

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Rapid Implementation of Embedded Systems using Xilinx Zynq Platform

A Resource-Adaptive, highly Parallel Hardware Accelerator for CNNs on ZYNQ-7000 SoC

A PYNQ-compliant Online Platform for Zynq-based DNN Developers