Sensors 4.0 - smart sensors and measurement technology enable Industry 4.0

被引:104
|
作者
Schuetze, Andreas [1 ]
Helwig, Nikolai [2 ]
Schneider, Tizian [2 ]
机构
[1] Saarland Univ, Dept Syst Engn, Lab Measurement Technol, D-66123 Saarbrucken, Germany
[2] Ctr Mechatron & Automat Technol ZeMA gGmbH, D-66121 Saarbrucken, Germany
关键词
D O I
10.5194/jsss-7-359-2018
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Industrie 4.0 or the Industrial Internet of Things (IIoT) are two terms for the current (r)evolution seen in industrial automation and control. Everything is getting smarter and data generated at all levels of the production process are used to improve product quality, flexibility, and productivity. This would not be possible without smart sensors, which generate the data and allow further functionality from self-monitoring and self-configuration to condition monitoring of complex processes. In analogy to Industry 4.0, the development of sensors has undergone distinctive stages culminating in today's smart sensors or "Sensor 4.0". This paper briefly reviews the development of sensor technology over the last 2 centuries, highlights some of the potential that can be achieved with smart sensors and data evaluation, and discusses success requirements for future developments. In addition to magnetic sensor technologies which allow self-test and self-calibration and can contribute to many applications due to their wide spectrum of measured quantities, the paper discusses condition monitoring as a primary paradigm for introducing smart sensors and data analysis in manufacturing processes based on two projects performed in our group.
引用
收藏
页码:359 / 371
页数:13
相关论文
共 50 条
  • [21] RFID - Key technology for the Smart Factory and Industry 4.0
    Kern, Konrad
    [J]. Konstruktion, 2015, 67 (11-12): : 28 - 29
  • [22] Sensors calibration for Metrology 4.0
    Benitez, Roberto
    Benitez, Roberto, Jr.
    Ramirez, Cesar
    Vazquez, Jose A.
    [J]. 2019 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 AND INTERNET OF THINGS (METROIND4.0&IOT), 2019, : 296 - 299
  • [23] Development of a Smart Acceleration Measurement Unit for Industry 4.0
    Trigona, Carlo
    Bradai, Sonia
    Naifar, Slim
    La Rosa, Roberto
    Baglio, Salvatore
    Kanoun, Olfa
    [J]. 2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD), 2018, : 838 - 841
  • [24] In-Mold Sensors for Injection Molding: On the Way to Industry 4.0
    Ageyeva, Tatyana
    Horvath, Szabolcs
    Kovacs, Jozsef Gabor
    [J]. SENSORS, 2019, 19 (16)
  • [25] Smart Manufacturing and Industry 4.0
    Barari, Ahmad
    Tsuzuki, Marcos Sales Guerra
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [26] Smart Grids and Industry 4.0
    Tuttokmagi, Ozge
    Kaygusuz, Asim
    [J]. 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP), 2018,
  • [27] SMART Motor for Industry 4.0
    Dol, Swapnil
    Bhinge, Raunak
    [J]. 2018 IEEMA ENGINEER INFINITE CONFERENCE (ETECHNXT), 2018,
  • [28] IoT and Machine Learning-Based Smart Automation System for Industry 4.0 Using Robotics and Sensors
    Sujatha, M.
    Priya, N.
    Beno, A.
    Blesslin Sheeba, T.
    Manikandan, M.
    Tresa, I. Monica
    Jose, P. Subha Hency
    Peroumal, Vijayakumar
    Thimothy, Sojan Palukaran
    [J]. Journal of Nanomaterials, 2022, 2022
  • [29] Developing smart machine elements with integrated sensors: Intelligent components make machines fit for Industry 4.0
    Krech, Martin
    Vogel, Sven
    [J]. Konstruktion, 2021, 2021 (09): : 24 - 27
  • [30] IoT and Machine Learning-Based Smart Automation System for Industry 4.0 Using Robotics and Sensors
    Sujatha, M.
    Priya, N.
    Beno, A.
    Blesslin Sheeba, T.
    Manikandan, M.
    Tresa, I. Monica
    Jose, P. Subha Hency
    Peroumal, Vijayakumar
    Thimothy, Sojan Palukaran
    [J]. JOURNAL OF NANOMATERIALS, 2022, 2022