A pragmatic data processing system for large resistive sensor arrays

被引:1
|
作者
Sun, X. [1 ,2 ]
Zhang, M. [1 ]
机构
[1] Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
[2] China Coal Technol & Engn Grp Shanghai Co Ltd, Shanghai 200030, Peoples R China
来源
REVIEW OF SCIENTIFIC INSTRUMENTS | 2024年 / 95卷 / 08期
关键词
READOUT; ACCURACY;
D O I
10.1063/5.0212979
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Large resistive sensor arrays (RSAs) show great potential in tactile perception. However, the large number of sensors can result in great hardware overhead and bring difficulties for acquiring and processing mass data timely in transient measurement applications. This paper implements a field programmable gate array (FPGA)-based data processing system for a large RSA of 96 x 96, which shows good power consumption and high-speed wireless data update. For crosstalk-free measure, the zero potential method is improved with bus switches, leading to fewer operational amplifiers required and less negative power consumption. A real-time embedded data processing system is realized by FPGA for excellent parallel processing ability. A high-speed wireless transfer scheme with automatic regulated transfer size is proposed and realized by a wireless fidelity module, which allows timely data analysis at the remote end. Moreover, fault identification of RSAs fabricated by micro-electromechanical system technology is achieved. Tests carried out on a 32 x 32 RSA show that the total power consumption is 2209 mW, including 1261 mW of processors and 948 mW of readout circuits, corresponding to 2.15 mW/pixel. The total negative power consumption of 549 mW has been reduced by 50% compared with the zero potential method. The scanning speed is 400 fps, and the wireless transfer speed is up to 120 fps when the transceiver and receiver are 5 m apart.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Reducing Readout Complexity of Large Resistive Sensor Arrays
    Saxena, R. S.
    Bhan, R. K.
    Aggrawal, A.
    IEEE SENSORS JOURNAL, 2008, 8 (11-12) : 1862 - 1863
  • [2] Biologically inspired large scale chemical sensor arrays and embedded data processing
    Marco, S.
    Gutierrez-Galvez, A.
    Lansner, A.
    Martinez, D.
    Rospars, J. P.
    Beccherelli, R.
    Perera, A.
    Pearce, T.
    Vershure, P.
    Persaud, K.
    SMART SENSORS, ACTUATORS, AND MEMS VI, 2013, 8763
  • [3] A temperature control system for integrated resistive gas sensor arrays
    Ferri, G
    Guerrini, N
    Stornelli, V
    VLSI Circuits and Systems II, Pts 1 and 2, 2005, 5837 : 972 - 982
  • [4] Data processing for large fast microcalorimeter arrays
    Boyce, KR
    Figueroa-Feliciano, E
    Finkbeiner, FM
    Gendreau, KC
    Kelley, RL
    Lindeman, MA
    Porter, FS
    Stahle, CK
    Szymkowiak, AE
    LOW TEMPERATURE DETECTORS, 2002, 605 : 343 - 346
  • [5] A Hybrid Processing System for Large-Scale Traffic Sensor Data
    Zhao, Zhuofeng
    Ding, Weilong
    Wang, Jianwu
    Han, Yanbo
    IEEE ACCESS, 2015, 3 : 2341 - 2351
  • [6] A novel CMOS temperature control system for resistive gas sensor arrays
    Ferri, G
    Guerrini, N
    Stornelli, V
    Catalani, C
    Proceedings of the 2005 European Conference on Circuit Theory and Design, Vol 3, 2005, : 27 - 30
  • [7] Sharing data processing among replicated optical sensor arrays
    Polese, D.
    Martinelli, E.
    Magna, G.
    Dini, F.
    Catini, A.
    Paolesse, R.
    Lundstrom, I.
    Di Natale, C.
    SENSORS AND ACTUATORS B-CHEMICAL, 2013, 179 : 252 - 258
  • [8] Improving Accuracy in the Readout of Resistive Sensor Arrays
    Hidalgo-Lopez, Jose A.
    Fernandez-Ramos, Raquel
    Romero-Sanchez, Jorge
    Martin-Canales, Jose F.
    Rios-Gomez, Francisco J.
    JOURNAL OF SENSORS, 2018, 2018
  • [9] Measurement errors in the scanning of resistive sensor arrays
    Liu, Hong
    Zhang, Yuan-Fei
    Liu, Yi-Wei
    Jin, Ming-He
    SENSORS AND ACTUATORS A-PHYSICAL, 2010, 163 (01) : 198 - 204
  • [10] Conditioning analysis of missing data estimation for large sensor arrays
    Qi, HR
    Snyder, WE
    IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, VOL II, 2000, : 565 - 570