High Precision Multiple Parameter Measurement Sensor Based on Constitutive Parameters Near-Zero Media

Authors

  • Qiao Yu Li Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China
  • Yu Wei Mao Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China
  • Yong Jin Zhou 1) Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China 2) State Key Laboratory of Millimeter Waves School of Information Science and Engineering, Southeast University, Nanjing 210096, China

DOI:

https://doi.org/10.13052/2024.ACES.J.390804

Keywords:

BP neural network, constitutive parameters near-zero media, high precision, microwave sensor, multiple parameter measurement

Abstract

A high-precision multiple parameter measurement sensor based on constitutive parameters near-zero (CPNZ) media has been proposed, which can effectively and accurately predict changes in temperature and relative humidity simultaneously and independently. The dual-channel microwave sensor is composed of a double doping CPNZ substrate integrated waveguide (SIW) cavity, which has the capability to predict different parameters independently. A multi-input and multi-output model is constructed to improve the measurement accuracy by training back propagation (BP) neural network. The relative error of the predicted temperature is smaller than 1.3%, with mean square error (MSE) of ±0.15. The relative error of the predicted relative humidity is smaller than 8.74%, with MSE of ±0.1. The multiple parameter sensor based on CPNZ materials offers a promising platform for multiple parameter sensing research, providing essential technical support and infrastructure for the development of fields like the Internet of Things, intelligent manufacturing, and smart cities.

Downloads

Download data is not yet available.

Author Biographies

Qiao Yu Li, Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China

Qiao Yu Li is currently pursuing the doctor’s degree of Electromagnetic Field and Microwave Technology in Shanghai University, Shanghai 200444, China. She received the B.S. degree in Engineering from Henan normal University, Xinxiang, China, in 2016, received the master’s degree in Electromagnetic Field and Microwave Technology from Shanghai University, Shanghai 200444, China, in 2019. Her current research is focused on plasmonic sensor devices.

Yu Wei Mao, Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China

Yu Wei Mao received the B.S. degree from Bengbu College, Bengbu, China, in 2015, obtained the master’s degree in Communication and Information Engineering at Shanghai University, Shanghai 200444, China, in 2018. Her current research is focused on near-zero medium sensor technology.

Yong Jin Zhou, 1) Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China 2) State Key Laboratory of Millimeter Waves School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Yong Jin Zhou received the B.S. degree in communication engineering from Shandong University, Jinan, China, in 2006, and Ph.D. degree in electromagnetic field and microwave technology from Southeast University, Nanjing, China, in 2011. From 2009 to 2010, he was a visiting scholar of University of Houston. From 2011 to 2012, he was a software engineer with EEBU of Marvell Technology (Shanghai) Ltd. From 2012 to 2015, he was an Assistant Professor with School of Communication & Information Engineering, Shanghai University, Shanghai, China. From 2015, he was an Associate Professor with School of Communication & Information Engineering, Shanghai University, Shanghai, China. From 2020, he was a Professor with School of Communication & Information Engineering, Shanghai University, Shanghai, China. His current research interests include plasmonic metamaterials, millimeter wave and THz functional devices, wireless energy transmission, and computational electromagnetism. He has served as Applied Computational Electromagnetics Society (ACES) Journal guest editor and is serving as a Youth Editorial Board Member Journal of Electronics & Information Technology. He is serving as a Reviewer for over 20 peer-reviewed journals, such as Nature Electronics, Photonic Research, Optics Letter, Optics Express, Appl. Phys. Express, IEEE Access, IEEE MTT, IEEE MWCL. He has served as a session chair for several International Symposiums.

References

J. Riegel, H. Neumann, and H. M. Wiedenmann, “Exhaust gas sensors for automotive emission control,” Solid State Ionics, vol. 152, pp. 783-800, Mar. 2002.

Y. Liu, Y. Yang, X. P. Lv, and L. F. Wang, “A self-learning sensor fault detection framework for industry monitoring IoT,” Math. Probl. Eng., vol. 2013, pp. 1-8, Jan. 2013.

M. Y. Aalsalem, W. Z. Khan, W. Gharibi, M. K. Khan, and Q. Arshad, “Wireless sensor networks in oil and gas industry: Recent advances, taxonomy, requirements, and open challenges,” J. Netw. Compu. Appl., vol. 113, pp. 87-97, July 2018.

K. Yeshwant and R. Ghaffari, “A biodegradable wireless blood-flow sensor,” Nat. Biomed. Eng., vol. 3, no. 1, pp. 7-8, Jan. 2019.

C. M. Boutry, L. Beker, Y. Kaizawa, C. Vassos, H. Tran, A. C. Hinckley, R. Pfattner, S. Niu, J. Li, J. Claverie, Z. Wang, J. Chang, P. M. Fox, and Z. Bao, “Biodegradable and flexible arterial-pulse sensor for the wireless monitoring of blood flow,” Nat. Biomed. Eng., vol. 3, pp. 47-57, Jan.2019.

C. Weber, “Photoacoustic CO2

-sensor for automotive applications,” Procedia Engineering, vol. 168, pp. 3-6, Sep. 2016.

R. Moolat, Manoj Mani, A. P. Viswanathan, and Mohanan Pezholil, “Compact microwave sensor for monitoring aging of oil and fuel adulteration,” vol. 32, no. 5, p. e23095, Jan. 2022.

C. Lopatin, “Aerospace applications of optical fiber mechanical sensors,” Opto-Mechanical Fiber Optic Sensors, pp. 237-262, Feb. 2018.

X. Lv, J. Jiang, H. Wang, Q. Gao, S. Zhao, N. Li, J. Yang, S. Wang, W. Bao, and R. Chen, “Sensitivity-compensated micro-pressure flexible sensor for aerospace vehicle,” Sensors, vol. 19, no. 1, pp. 72, Jan. 2019.

A. N. S. Javanshir, “Optical temperature sensor with micro ring resonator and graphene to reach high sensitivity,” Optik, vol. 180, pp. 442-446, Feb. 2019.

F. Zhang, Y. Zang, D. Huang, C. A. Di, and D. Zhu, “Flexible and self-powered T-pressure dual-parameter sensors using microstructure-frame-supported organic thermoelectric materials,” Nat. Commun., vol. 6, p. 8356, Sep. 2015.

J. Wu, Z. Wu, H. Xu, Q. Wu, C. Liu, B. Yang, X. Gui, X. Xie, K. Tao, Y. Shen, J. Miaod, and L. K. Norford, “An intrinsically stretchable humidity sensor based on anti-drying, self-healing and transparent organohydrogels,” Mater. Horiz., vol. 7, no. 7, p. 1919, July 2020.

T. Li, L. Li, H. Sun, Y. Xu, X. Wang, H. Luo, Z. Liu, and T. Zhang, “Humidity sensors: Porous ionic membrane based flexible humidity sensor and its multifunctional applications,” Adv. Sci., vol. 4, no. 5, p. 1600404, May 2017.

S. Xiao, J. Nie, R. Tan, X. Duan, J. Ma, Q. Li, and T. Wang, “Fast-response ionogel humidity sensor for real-time monitoring of breathing rate,” Mater. Chem. Front., vol. 3, no. 3, pp. 484-491, Mar.2019.

S. Gong, W. Schwalb, Y. Wang, Y. Chen, Y. Tang, J. Si, B. Shirinzadeh, and W. Cheng, “A wearable and highly sensitive pressure sensor with ultrathin gold nanowires,” Nat. Commun., vol. 5, p. 3132, Feb. 2014.

S. C. B. Mannsfeld, B. C.-K. Tee, R. M. Stoltenberg, C. V. H.-H. Chen, S. Barman, B. V. O. Muir, A. N. Sokolov, C. Reese, and Z. Bao, “Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers,” Nat. Mater., vol. 9, no. 10, pp. 859-864, Sep. 2010.

E. Amin, M. Karmakar, and B. Jensen, “Fully printable chipless RFID multi-parameter sensor,” Sens. Actuat. A-Phys., A. Physical, vol. 248, pp. 223-232, Sep. 2016.

L. Dong, L. F. Wang, and Q. A. Huang, “Implementation of multiparameter monitoring by an LC-type passive wireless sensor through specific winding stacked inductors,” IEEE Internet of Things J., vol. 2, no. 2, pp. 168-174, Apr. 2015.

Z. Abbasi, P. Shariaty, M. Nosrati, Z. Hashisho, and M. Daneshmand, “Dual-band microwave circuits for selective binary gas sensing system,” IEEE T. Microw. Theory, vol. 67, no. 10, pp. 4206-4219, Oct. 2019.

L. Ali, C. Wang, F. Y. Meng, K. Adhikari, Y. Wei, J. Li, Z. Song, and M. Zhao, “Design and optimization of interdigitated microwave sensor for multidimensional sensitive characterization of solid materials,” IEEE Sens. J., vol. 21, no. 20, pp. 22814-22822, Oct. 2021.

Y. Zhao, X. Zhao, Q. Zuo, Y. Guo, H. Huang, H. Zhang, T. Wang, N. Wen, H. Chen, T. Cong, J. Muhammad, X. Yang, X. Wang, Z. Fan, and L. Pan, “Structural engineering of hierarchical aerogels comprised of multi-dimensional gradient carbon nanoarchitectures for highly efficient microwave absorption,” Nano-Micro Lett., vol. 13, no. 1, p. 144, Dec. 2021.

M. Saadat-Safa, V. Nayyeri, M. Khanjarian, M. Soleimani, and O. M. Ramahi, “A CSRR-based sensor for full characterization of magneto-dielectric materials,” IEEE T. Microw. Theory, vol. 67, no. 2, pp. 806-814, Feb. 2019.

N. Javanbakht, G. Xiao, and R. E. Amaya, “Portable microwave sensor based on frequency-selective surface for grain moisture content monitoring,” IEEE Sensors Letters, vol. 5, no. 11, pp. 1-4, Nov. 2021.

Y. H. Cao, K. Chen, C. Ruan, and X. Zhang, “Robust and sensitive metamaterial-inspired microfluidic sensor for liquids with low dielectric constants,” Sensor Actuat. A-Phys., vol. 331, p. 112869, Nov. 2021.

E. Rahamim, D. Rotshild, and A. Abramovich, “Performance enhancement of reconfigurable metamaterial reflector antenna by decreasing the absorption of the reflected beam,” Appl. Sci.-Basel, vol. 11, no. 19, p. 8999, Oct. 2021.

Q. Liu, Y. F. Yu, W. S. Zhao, and H. Li, “Microfluidic T sensor based on T-dependent dielectric property of liquid,” Chinese Phys. B, vol. 29, no. 1, p. 10701, Jan. 2020.

E. M. Amin and N. C. Karmakar. “Development of a low cost printable humidity sensor for chipless RFID technology,” in 2012 IEEE International Conference on RFID-TA, pp. 165-170, Nov.2012.

H. Lobato-Morales, A. Corona-Chávez, J. L. Olvera-Cervantes, R. A. Chávez-Pérez, and J. L. Medina-Monroy, “Wireless sensing of complex dielectric permittivity of liquids based on the RFID,” IEEE T. Microw. Theory, vol. 62, no. 9, pp. 2160-2167, Sep. 2014.

A. K. Jha, N. Delmonte, A. Lamecki, M. Mrozowski, and M. Bozzi, “Novel MNZ-type microwave sensor for testing magnetodielectric materials,” Sci. Rep., vol. 10, no. 1, p. 16985, Oct. 2020.

Z. Zhou, Y. Li, H. Li, W. Sun, I. Liberal, and N. Engheta, “Substrate-integrated photonic doping for near-zero-index devices,” Nat. Commun., vol. 10, no. 1, p. 4132, Sep. 2019.

V. Pacheco-Peña, M. Beruete, P. Rodríguez-Ulibarri, and N. Engheta, “On the performance of an ENZ-based sensor using transmission line theory and effective medium approach,” New J. Phys., vol. 21, p. 043056, Apr. 2019.

I. Liberal, A. M. Mahmoud, Y. Li, B. Edwards, and N. Engheta, “Photonic doping of epsilon-near-zero media,” Sci., vol. 355, no. 6329, pp. 1058-1062, Mar. 2017.

Q. Deng. “A BP neural network optimisation method based on dynamical regularization,” Journal of Control and Decision, vol. 6, no. 2, pp. 111-121, Jan. 2018.

C. Wang, X. Liu, L. Gan, and Q. Cai, “A dual-band non-destructive dielectric measurement sensor based on complementary split-ring resonator,” Front. Phys., vol. 9, p. 669707, Apr. 2021.

K. T. Muhammed Shafi, J. Abhishek Kumar, and M. Jaleel Akhtar, “Dual band RF sensor for testing of magnetic properties of materials using meandered line SRR,” Sens. Actuat. A, vol. 272, pp. 170-177, Apr. 2018.

W. N. Liu, J. J. Zhang, and K. M. Huang, “Dual-band microwave sensor based on planar rectangular cavity loaded with pairs of improved resonator for differential sensing applications,” IEEE T. Instrument, vol. 70, pp. 1-8, Nov. 2021.

M. A. H. Ansari, A. K. Jha, and M. J. Akhtar, “Dual band microwave sensor for dielectric characterization of dispersive materials,” in Asia-Pacific Microwave Conference IEEE, vol. 1, pp. 1-3, Dec. 2015.

F. Requena, N. Barbot, D. Kaddour, and E. Perret, “Chipless RFID temperature and humidity sensing,” in 2021 IEEE MTT-S International Microwave Symposium (IMS), pp. 545-548, June 2021.

Downloads

Published

2024-08-31

How to Cite

[1]
Q. Y. . Li, Y. W. . Mao, and Y. J. . Zhou, “High Precision Multiple Parameter Measurement Sensor Based on Constitutive Parameters Near-Zero Media”, ACES Journal, vol. 39, no. 08, pp. 691–699, Aug. 2024.

Issue

2024: Vol 39 Iss 8

Section

Metamaterials and Metadevices for Integrated Sensing, Imaging, and Communication