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
  • [41] Data Gathering and Processing for Large-Scale Wireless Sensor Networks
    Xing, Xiaofei
    Xie, Dongqing
    Wang, Guojun
    2013 IEEE NINTH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS (MSN 2013), 2013, : 354 - 358
  • [42] Designing Parallel Data Processing for Large-Scale Sensor Orchestration
    Kabac, Milan
    Consel, Charles
    2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD), 2016, : 57 - 65
  • [43] A PRAGMATIC APPROACH TO WORKABLE DATA PROCESSING CONTROLS
    SMITH, TJ
    COMPUTERS AND AUTOMATION, 1969, 18 (12): : 41 - &
  • [44] Spangle: A Distributed In-Memory Processing System for Large-Scale Arrays
    Kim, Sangchul
    Kim, Bogyeong
    Moon, Bongki
    2021 IEEE 37TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2021), 2021, : 1799 - 1810
  • [45] A digital processing system for source location and sound capture by large microphone arrays
    Silverman, HF
    Patterson, WR
    Flanagan, JL
    Rabinkin, D
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 251 - 254
  • [46] Circuit arrangement to suppress crosstalk in chemo-resistive sensor arrays
    Chowdhury, Shambo Roy
    Bhondekar, Amol P.
    Kumar, Ritesh
    Bagchi, Sudeshna
    Kaur, Rishemjit
    Karar, Vinod
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2018, 12 (08) : 1039 - 1046
  • [47] A New Approach for Readout of Resistive Sensor Arrays for Wearable Electronic Applications
    Shu, Lin
    Tao, Xiaoming
    Feng, David Dagan
    IEEE SENSORS JOURNAL, 2015, 15 (01) : 442 - 452
  • [48] Design of Underwater Sensor Data Acquisition and Processing System for UWSNs
    Lu, Yiqing
    Wang, Guolin
    Song, Shanshan
    Chen, Zixin
    Yang, Tingting
    Cui, Jun-Hong
    WUWNET'21: THE 15TH ACM INTERNATIONAL CONFERENCE ON UNDERWATER NETWORKS & SYSTEMS, 2021,
  • [49] A modular system architecture for sensor data processing of ADAS applications
    Darms, M
    Winner, H
    2005 IEEE Intelligent Vehicles Symposium Proceedings, 2005, : 729 - 734
  • [50] Scanning Approaches of 2-D Resistive Sensor Arrays: A Review
    Wu, Jian-Feng
    IEEE SENSORS JOURNAL, 2017, 17 (04) : 914 - 925