IoT Network for Industrial Machine Energy Monitoring

被引:0
|
作者
Incipini, Lorenzo [1 ]
Mancia, Tommaso [2 ]
El Mehtedi, Mohamad [2 ]
Pierleoni, Paola [1 ]
机构
[1] Polytech Univ Marche, Dept Informat Engn, Ancona, Italy
[2] Polytech Univ Marche, Dept Ind Engn & Math Sci, Ancona, Italy
关键词
Internet of Things; Wireless Sensor Network; Industry; 4.0; IPv6; CoAP; Tensile Test; FRAMEWORK; INTERNET;
D O I
10.23919/aeit.2019.8893312
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The need to reduce energy consumption and make industrial machines more efficient and the need to reduce energy cost by the optimization of industrial processes can be satisfied by the use of Internet of Things networks for energy monitoring. Internet of Things nodes are constrained devices with internet connectivity and limited computational resources. This paper presents an IPv6 wireless sensor network used to acquire electrical quantities related to the consumption of industrial machines. To test that system was measured the consumption of a hydraulic pump for the actuation of an MTS machine for tensile tests. The sensor node connected to the pump can be reached via its own IPv6 address, and the measured energy quantities are made available through CoAP server resources on the node itself or by the web application of the edge node. This system represent a first stage of the monitoring and control of energy consumption of Industry 4.0 processes for smart energy solutions.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] IoT based energy consumption monitoring platform for industrial processes
    Gan, Shaojun
    Li, Kang
    Wang, Yanxia
    Cameron, Che
    2018 UKACC 12TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2018, : 236 - 240
  • [2] Demonstration of Network Slicing for Flexible Conditional Monitoring in Industrial IoT Networks
    Wu, Huanzhuo
    Tsokalo, Ievgenii A.
    Kuss, David
    Salah, Hani
    Pingel, Lukas
    Fitzek, Frank H. P.
    2019 16TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2019,
  • [3] IOT-HML: A hybrid machine learning technique for IoT enabled industrial monitoring and control system
    Kota, Prabhakar N. N.
    Chandak, Ashok S. S.
    Patil, B. P.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (03):
  • [4] Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications
    Moens, Pieter
    Bracke, Vincent
    Soete, Colin
    Vanden Hautte, Sander
    Avendano, Diego Nieves
    Ooijevaar, Ted
    Devos, Steven
    Volckaert, Bruno
    Van Hoecke, Sofie
    SENSORS, 2020, 20 (15) : 1 - 15
  • [5] Industrial IoT Based Condition Monitoring for Wind Energy Conversion System
    Hossain, Md Liton
    Abu-Siada, Ahmed
    Muyeen, S. M.
    Hasan, Md Mubashwar
    Rahman, Md Momtazur
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (03): : 654 - 664
  • [6] Machine Learning for Smart Energy Monitoring of Home Appliances Using IoT
    Rashid, Rozeha A.
    Chin, Leon
    Sarijari, M. A.
    Sudirman, Rubita
    Ide, Teruji
    2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019), 2019, : 66 - 71
  • [7] TempNet: Application of Wireless Sensor Network for Industrial Temperature Monitoring with IoT Integration
    Hossain, Nafize Ishtiaque
    Reza, Sakib
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE), 2019, : 716 - 721
  • [8] IoT Architecture for Interoperability and Monitoring of Industrial
    Guimaraes, Carlos Solon S., Jr.
    de Andrade, Maiko
    De Avila, Falvio Rocha
    De Oliveira Gomes, Victor Emmanuel
    Nardelli, Vitor Camargo
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE (SYSINT 2020): SYSTEM-INTEGRATED INTELLIGENCE - INTELLIGENT, FLEXIBLE AND CONNECTED SYSTEMS IN PRODUCTS AND PRODUCTION, 2020, 52 : 313 - 318
  • [9] Industrial Process Monitoring Using IoT
    Shinde, Komal S.
    Bhagat, Prachi H.
    2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC), 2017, : 38 - 42
  • [10] Iot monitoring lathe machine performance
    Sharma R.
    Sharma R.
    Prabha Y.B.
    Rema Devi S.
    Saxena P.
    Rajasanthosh kumar T.
    Materials Today: Proceedings, 2023, 80 : 3570 - 3574