IoT-based system to measure thermal insulation efficiency

被引:1
|
作者
Abdalgader, Khaled [1 ]
Al Ajmi, Rahma [1 ]
Saini, Dinesh Kumar [1 ]
机构
[1] Sohar Univ, Fac Comp & Informat Technol, Sohar, Oman
关键词
Thermal insulation; Weather condition; Internet of things; Environmental parameters measurement;
D O I
10.1007/s12652-020-02459-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main purpose of thermal insulation is to reduce the effect of weather conditions, which can reduce energy consumption and help preserve the natural environment. Due to increasing demand for thermal insulation in modern buildings, it is necessary to monitor the effects of weather condition on the efficiency of thermal insulation. To measure this effect, Internet of Things (IoT)-based sensor networks play an important role. This paper proposes an IoT-based monitoring system that measures and analyses the effect of weather conditions on thermal insulation efficiency. The proposed system includes an Arduino as a central unit that interfaces at the input with temperature and relatively humidity sensors, and at the output with a WiFi module that transmit the collected data via the Internet to an IoT analytics platform to aggregate, analyze, and visualize the data. The proposed system is low cost and provides insight into the design and implementation of a complete application with important IoT features, e.g., sensing and transmitting data to the cloud, data processing, and data retrieval through the ThingSpeak open-source API. In a proof of concept, the proposed system was implemented and tested in different environments and at different altitudes, and the results were analyzed and compared to standard weather data. The sensed data can be further analyzed and leveraged by end users to mitigate the effects of weather conditions on thermal insulation.
引用
收藏
页码:5265 / 5278
页数:14
相关论文
共 50 条
  • [1] IoT-based system to measure thermal insulation efficiency
    Khaled Abdalgader
    Rahma Al Ajmi
    Dinesh Kumar Saini
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 5265 - 5278
  • [2] IoT-Based Smart Irrigation System
    Subramani, C.
    Usha, S.
    Patil, Vaibhav
    Mohanty, Debanksh
    Gupta, Prateek
    Srivastava, Aman Kumar
    Dashetwar, Yash
    [J]. COGNITIVE INFORMATICS AND SOFT COMPUTING, 2020, 1040 : 357 - 363
  • [3] IoT-Based Agriculture Monitoring System
    Raviteja, Kantamneni
    Supriya, M.
    [J]. DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT-2K19, 2020, 1079 : 473 - 483
  • [4] IoT-based monitoring system for hydroponics
    Sulaiman, Siti Fatimah
    ABU Kassim, Amirul Hafiz
    Izah, Sharatul
    Sulaiman, Noor Asyikin
    Sunar, Noorhazirah
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2023, 99 (08): : 135 - 140
  • [5] Enhancing Industrial Production Efficiency: A Comprehensive IoT-Based Supervision and Control System
    Hadj Abdallah, Skander
    Boucetta, Rahma
    Laabidi, Walid
    Zdiri, Mohamed Ali
    [J]. 2024 IEEE INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES, ICASET 2024, 2024,
  • [6] An IoT-Based Smart Controlling System of Air Conditioner for High Energy Efficiency
    Song, Wei
    Feng, Ning
    Tian, Yifei
    Fong, Simon
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2017, : 442 - 449
  • [7] An IoT-based Emergency Evacuation System
    Zualkernan, Imran A.
    Aloul, Fadi A.
    Sakkia, Vikram
    Al Noman, Hassan
    Sowdagar, Salman
    Al Hammadi, Omar
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND INTELLIGENCE SYSTEM (IOTAIS), 2019, : 62 - 66
  • [8] IoT-Based Pulmonary Monitoring System
    Ortiz, Kristine Joyce P.
    Diaz, Christian A.
    Lim, Abraham M.
    Sibayan, Daryl A.
    [J]. 2017 IEEE 6TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), 2017,
  • [9] IoT-Based Smart Rehabilitation System
    Fan, Yuan Jie
    Yin, Yue Hong
    Xu, Li Da
    Zeng, Yan
    Wu, Fan
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (02) : 1568 - 1577
  • [10] IOT-Based Automated Aeroponics System
    Francis, Felin
    Vishnu, P. L.
    Jha, Manish
    Rajaram, Bharghava
    [J]. INTELLIGENT EMBEDDED SYSTEMS, ICNETS2, VOL II, 2018, 492 : 337 - 345