Research on cross-field applications and future prospects of intelligent sensors

Research Article
Open access

Research on cross-field applications and future prospects of intelligent sensors

Chaolin Pan 1*
  • 1 Zhejiang Gongshang University    
  • *corresponding author Cp542@Sussex.ac.uk
Published on 22 February 2024 | https://doi.org/10.54254/2755-2721/41/20230749
ACE Vol.41
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-307-4
ISBN (Online): 978-1-83558-308-1

Abstract

The Internet of Things (IoT) has transformed daily life through enhanced internet and communication technologies. Intelligent sensors, like temperature and humidity sensors, have revolutionized smart homes, enabling remote control and enhancing comfort. In agriculture, these sensors monitor soil moisture and crop conditions, optimizing farming practices for increased yields and sustainability. Healthcare benefits from the IoT with sensors in medical devices and wearables, offering real-time patient monitoring and cost reduction. Logistics employs intelligent sensors to track goods, boosting supply chain efficiency. Projects like IoT-based road analysis systems and pest monitoring exemplify data collection and intelligent decision-making, benefiting urban management and agriculture. It can be seen that intelligent sensors have an irreplaceable role in the Internet of Things, so this paper will introduce the technology and working principles of intelligent sensors and discuss the cross-domain applications and future expectations of intelligent sensors. Through literature analysis, it can be concluded that after the intelligent sensor receives the external signal, it will convert the signal into a physical signal related to the measured parameters and process, store, and communicate it so as to realize the detection, control, and data transmission of the environment. This means that intelligent sensors can be widely used in industrial production, environmental monitoring, medical health, and other fields.

Keywords:

Intelligent Sensor, The Internet of Things, Medical and Health

Pan,C. (2024). Research on cross-field applications and future prospects of intelligent sensors. Applied and Computational Engineering,41,210-214.
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References

[1]. Huo, T., & Li, M. (2022). Correlation Analysis between El Niño and Regional Water Vapor Characteristics Based on Intelligent Sensor and Walktrap Algorithm. Journal of Sensors.

[2]. Banach, M., Talaśka, T., Dalecki, J., & Długosz, R. (2020). New technologies for smart cities–high‐resolution air pollution maps based on intelligent sensors. Concurrency and Computation: Practice and Experience, 32(13), e5179.

[3]. Wu, Y., & Zhang, F. (2021). Research on the influence of sports and nutrition matching on improving students’ physique based on intelligent sensor. Computational Intelligence and Neuroscience, 2021.

[4]. Kuru, K., Ansell, D., Jones, M., Watkinson, B. J., Caswell, N., Leather, P., ... & De Goede, C. (2020). Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE. Medical & Biological Engineering & Computing, 58, 943-965.

[5]. Li, M., Zhang, Y., Lian, L., Liu, K., Lu, M., Chen, Y., ... & Wan, P. (2022). Flexible Accelerated‐Wound‐Healing Antibacterial MXene‐Based Epidermic Sensor for Intelligent Wearable Human‐Machine Interaction. Advanced Functional Materials, 32(47), 2208141.

[6]. Geng Yang ; Li Xie ; Mantysalo, Matti ; Xiaolin Zhou A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box IEEE transactions on industrial informatics, 2014, Vol.10 (4), p.2180-2191

Cite this article

Pan,C. (2024). Research on cross-field applications and future prospects of intelligent sensors. Applied and Computational Engineering,41,210-214.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-307-4(Print) / 978-1-83558-308-1(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.41
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Huo, T., & Li, M. (2022). Correlation Analysis between El Niño and Regional Water Vapor Characteristics Based on Intelligent Sensor and Walktrap Algorithm. Journal of Sensors.

[2]. Banach, M., Talaśka, T., Dalecki, J., & Długosz, R. (2020). New technologies for smart cities–high‐resolution air pollution maps based on intelligent sensors. Concurrency and Computation: Practice and Experience, 32(13), e5179.

[3]. Wu, Y., & Zhang, F. (2021). Research on the influence of sports and nutrition matching on improving students’ physique based on intelligent sensor. Computational Intelligence and Neuroscience, 2021.

[4]. Kuru, K., Ansell, D., Jones, M., Watkinson, B. J., Caswell, N., Leather, P., ... & De Goede, C. (2020). Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors: Intelligent autonomous bladder monitoring to treat NE. Medical & Biological Engineering & Computing, 58, 943-965.

[5]. Li, M., Zhang, Y., Lian, L., Liu, K., Lu, M., Chen, Y., ... & Wan, P. (2022). Flexible Accelerated‐Wound‐Healing Antibacterial MXene‐Based Epidermic Sensor for Intelligent Wearable Human‐Machine Interaction. Advanced Functional Materials, 32(47), 2208141.

[6]. Geng Yang ; Li Xie ; Mantysalo, Matti ; Xiaolin Zhou A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box IEEE transactions on industrial informatics, 2014, Vol.10 (4), p.2180-2191

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