Article Details

Title · Authors · Abstract · Keywords · DOI · References

PVDF-Based Wireless Data Acquisition System

CHENG Zhibo1,2, FANG Yongfeng1,2, BAN Lei1,2

(1.School of Physics and Electronic Information Engineering, Ningxia Normal University, Guyuan 756000, China; 2.Ningxia Key Laboratory of Artificial Intelligence and Basic Education, Guyuan 756000, China)

Section：Internet of Things · Vol. 2026, Issue 20 · Pages：188-192 · 2096-4706（2026）20-0188-05 · CLC number：TP212 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.20.034

Abstract

To address the demand for cost-effective wireless sensing technology in fields such as industrial vibration monitoring and biomechanical analysis, this study designs a PVDF piezoelectric thin-film signal data acquisition and Bluetooth wireless transmission system based on the ESP32 microcontroller. The system uses the high-precision 12-bit analog-to-digital converter integrated in the ESP32 and the classic Bluetooth Serial Port Profile (SPP) to achieve real-time acquisition and transmission of the output signal of the PVDF sensor. With an optimized non-blocking sampling algorithm, the system collects data at fixed intervals of 100 ms without packet loss. The system converts the original ADC value into a voltage signal in the range of 0 to 3.3 V, processes the data by moving-average filtering, and then transmits it to the mobile terminal through the on-board Bluetooth module of the ESP32. Experimental results show that the system can transmit data to the mobile terminal accurately and effectively in real time, and is highly integrated with low hardware cost.

Keywords

PVDF; Bluetooth transmission; real-time acquisition; ESP32; non-blocking sampling

References

  1. [1] Lu Zhongxiao, Gao Guowei Research progress on PVDF piezoelectric composite materials and their applications [J]. Micro Nano Electronic Technology, 2023, 60 (9): 1356-1365
  2. [2] Veved A，Ejuh G W G，Djongyang N. Review of Emerging Materials for PVDF-based Energy Harvesting [J].Energy Reports，2022，8：12853-12870.
  3. [3] Tian Xiaochao, Gai Houjun, Han Chengze, etc Experimental study on respiratory signal detection based on piezoelectric PVDF sensor [J]. Light Industry Technology, 2025, 41 (2): 79-82
  4. [4] Tan Mingli Reinforced concrete crack monitoring based on PVDF flexible strain sensor [D]. Chongqing: Chongqing Jiaotong University, 2023
  5. [5] Hou Tianyuan, Zhu Jianfeng, Liu Tao, etc Wearable physiological signal monitoring system based on PVDF [J]. Piezoelectric and acousto-optic, 2020, 42 (4): 529-532
  6. [6] Nie Yanping, Mao Qibo, Zhang Wei Crack detection of cracked beams based on PVDF sensors and working curvature deformation [J]. Journal of Sensing Technology, 2013, 26 (1): 138-142
  7. [7] Zheng Yongjun, Ma Chao, Zhang Yanchao, etc Water droplet impact force detection system based on PVDF piezoelectric sensor [J]. Journal of Agricultural Machinery, 2014, 45 (S1): 142-147
  8. [8] Bruce Lee, Peng Meiping Research and Analysis of Zigbee Technology Network Layer [J]. Computer Knowledge and Technology, 2013, 9 (18): 4208-42114219
  9. [9] Hang Yan, Huang Lin, Liu Yanan, etc Wireless pulse wave monitoring system based on reflective flexible probe and AFE4490 [J]. Chinese Journal of Medical Devices, 2024, 48 (3): 330-334
  10. [10] Yang Shuiwang, Fu Zhengwei, Zhao Zhiliang, etc Development and Static/Dynamic Performance Verification of Flexible Pressure Sensors [J]. Measurement Technology, 2024, 44 (5): 48-56
  11. [11] Dong Qing, Zhu Hongxiang Design and Implementation of an Airborne DC Power Supply Parameter Testing System [J]. Information Systems Engineering, 2020 (1): 86-87, 90
  12. [12] Yang Lanlan, Guo Jian Formal modeling and analysis of non blocking algorithms [J]. Computer Applications, 2020, 40 (S2): 106-111
  13. [13] Rezazadeh M，Ghaderi M，Mousavi S M. Performance Evaluation of Complex Multi-thread Applications Through Execution Path Analysis [J/OL].Performance Evaluation，2022，155-156：102289.https://doi.org/10.1016/j.peva.2022.102289.
  14. [14] Dai Zhuangzhuang, He Hong, Wang Yanbing A wearable EEG sensor for detecting epileptic seizure status [J]. Journal of Sensing Technology, 2024, 37 (5): 743-749
  15. [15] Wang Zhen, Fan Haichuan, Shi Juan, etc Sensitivity Study of Piezoelectric Force Sensor Based on Impact Method [J]. Journal of Testing Technology, 2024, 38 (2): 120-128

Funding

Ningxia Natural Science Foundation Project (2023AAC03332); Key R&D Project of Guyuan City, Ningxia (2024BGTYF01)

About the authors

Cheng Zhibo (1999-), male, Han ethnicity, from Baofeng, Henan, master's student, research interests include sensor embedded systems; Corresponding author: Fang Yongfeng (1973-), male, Han ethnicity, from Xi'an, Shaanxi, professor, doctoral student, research interests include sensor reliability; Ban Lei (2001-), male, Han ethnicity, from Yichuan, Henan, master's student, research interests include digital twin-based intelligent equipment design.