Moisture measurements in construction elements and other structures using Bluetooth Low Energy

被引:1
|
作者
Koeppe, Enrico [1 ]
Moldenhauer, Laura [1 ]
Haamkens, Frank [1 ]
Helmerich, Rosemarie [1 ]
机构
[1] Bundesanstalt Mat Forsch & Prufung BAM, FB Sensoren Mess & Pruftech Verfahren 8 1, Unter Eichen 87, D-12205 Berlin, Germany
关键词
Bluetooth; Bluetooth Low Energy; volume humidity; civil structures; dams; levees; Received Signal Strength Indicator (RSSI); SmartHub;
D O I
10.1002/bate.201600074
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Moisture measurements in construction elements and other structures using Bluetooth Low Energy During the last decade, the data transfer from long-term monitoring of data, recorded e. g. in structures and dams, was undergoing a challenge from cable connected sensors to Wireless Sensor Networks (WSN) [2]. The sensor networks shall act as early warning systems for the set-in of initiating damage processes or if, e. g., moisture penetrates a structural element or any massive structure (embankments, dykes, dams) that allow for adverse and damaging substances penetrating structural elements. During first feasibility tests we applied commercially available multifunctional sensors like a Bluetooth Low Energy (BLE) Module for investigation of the influence of moisture in a certain volume of building material on the received signal. The investigated parameters were the so-called Received Signal Strength Indicator (RSSI) of a Bluetooth Low Energy (BLE) Signal and the transmission power emitted by an embedded BLE-Module. The BLE-Module communicates with a mobile smart receiver as a tablet or a smartphone as s. c. SmartHub. The change of the RSS-Indicator is a measure for the damping as a result of changing moisture content in a structural element while the transmission power remains constant. While the BLE-Signal transfers a moist section in any material, eg. building material, the RSS-Indicator changes. After a successful feasibility study, a ZIM-project was confirmed, which was composed within the in the German Network MI4G (Modern Industry for Germany) between the Federal Institute for Materials Research and Testing (BAM) with the small enterprise LinTech GmbH, Berlin. The report presents first results and gives an outlook on further research activities.
引用
收藏
页码:747 / 751
页数:5
相关论文
共 50 条
  • [31] Indoor Localization for Bluetooth Low Energy Using Wavelet and Smoothing Filter
    Hou, Xiaoyue
    Arslan, Tughrul
    Gu, Jiacheng
    2017 INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS (ICL-GNSS), 2017,
  • [32] Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements
    Sattler, Felix
    Ma, Jackie
    Wagner, Patrick
    Neumann, David
    Wenzel, Markus
    Schaefer, Ralf
    Samek, Wojciech
    Mueller, Klaus-Robert
    Wiegand, Thomas
    NPJ DIGITAL MEDICINE, 2020, 3 (01)
  • [33] Accuracy Analysis of the Indoor Location System Based on Bluetooth Low-Energy RSSI Measurements
    Janczak, Dariusz
    Walendziuk, Wojciech
    Sadowski, Maciej
    Zankiewicz, Andrzej
    Konopko, Krzysztof
    Idzkowski, Adam
    ENERGIES, 2022, 15 (23)
  • [34] Low Cost Cloud Based Intelligent Farm Automation System Using Bluetooth Low Energy
    Rajagopal, Gautham
    Lodd, Vaaibhav M.
    Vignesh, Anand
    Rajesh, Ramesh
    Vijayaraghavan, Vineeth
    PROCEEDINGS OF THE 2014 IEEE REGION 10 HUMANITARIAN TECHNOLOGY CONFERENCE (RIO HTC), 2014, : 127 - 132
  • [35] Tracking a moving user in indoor environments using Bluetooth low energy beacons
    Surian, Didi
    Kim, Vitaliy
    Menon, Ranjeeta
    Dunn, Adam G.
    Sintchenko, Vitali
    Coiera, Enrico
    JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 98
  • [36] Performance Evaluation Using Plural Smartphones in Bluetooth Low Energy Positioning System
    Omura, Kosuke
    Manabe, Tetsuya
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2021, E104A (02) : 371 - 374
  • [37] Ultrasound Time of Flight based positioning using the Bluetooth Low Energy protocol
    Comuniello, Antonella
    De Angelis, Alessio
    De Angelis, Guido
    Moschitta, Antonio
    2019 IEEE INTERNATIONAL SYMPOSIUM ON MEASUREMENTS & NETWORKING (M&N 2019), 2019,
  • [38] Maritime Safety System using Bluetooth Low Energy and Global Positioning System
    Kim, Yonghoon
    Koh, Taehoon
    Kim, Hyeonung
    Cho, Seokjun
    Hong, Hyungi
    Chung, Mokdong
    2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2018, : 445 - 449
  • [39] Calibration Cost Reduction of Indoor Localization Using Bluetooth Low Energy Beacon
    As, Mansur
    Shimizu, Hiroshi
    Benaissa, Brahim
    Yoshida, Kaori
    Koppen, Mario
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2022, 26 (01) : 97 - 106
  • [40] Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures
    Cuadra-Troncoso, J. M.
    Rivas-Casado, A.
    Alvarez-Sanchez, J. R.
    de la Paz Lopez, F.
    Obregon-Castellanos, D.
    BIOINSPIRED COMPUTATION IN ARTIFICIAL SYSTEMS, PT II, 2015, 9108 : 222 - 231