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International Conference on Advanced Hybrid Information Processing

ADHIP 2020: Advanced Hybrid Information Processing pp 41–52Cite as

Signal Collection Method of Wireless Radio Frequency Gas Sensor Array Based on Virtual Instrument

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Abstract

The traditional multi-dimensional array tactile sensor research and application can not have the characteristics of flexibility and multi-dimensional force measurement, so there is a big gap in the acquisition of sensor array signal, it is difficult to extract relevant information and make corresponding actions in complex environment. Based on this, a method of wireless RF gas sensor array signal acquisition based on virtual instrument is proposed. By mining the flexible three-dimensional force and temperature composite sensor array numerical characteristics of virtual instrument, the flexible sensitive value of sensor array is improved, and the flexible three-dimensional force sensor array signal acquisition and temperature compensation are designed, so as to effectively reduce the temperature to three-dimensional force detection The influence of measurement can improve the signal acquisition performance of wireless radio frequency gas sensor array. The experiment proves that compared with the traditional dedicated array acquisition method, the wireless RF gas sensor array signal acquisition method based on virtual instruments is easy to implement, flexible to use, and cost-effective, which can be used by researchers for reference.

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Authors and Affiliations

  1. College of Mechatronic Engineering, Beijing Polytechnic, Beijing, 100176, China

    Li Ya-ping & Zhao Dan

Authors
  1. Li Ya-ping
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  2. Zhao Dan
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Corresponding author

Correspondence to Li Ya-ping .

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Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Shuai Liu

  2. Hunan Normal University, Changsha, China

    Liyun Xia

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ya-ping, L., Dan, Z. (2021). Signal Collection Method of Wireless Radio Frequency Gas Sensor Array Based on Virtual Instrument. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-030-67871-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-67871-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67870-8

  • Online ISBN: 978-3-030-67871-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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