Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine
Industry 4.0 (I4.0) is a multidisciplinary engineering principle combing the IoT (Internet of things), big data, and cloud computing to cope with the dynamic changing industry. In this paper, the DDS (data distribution service) communication protocol was employed to implement a cloud platform for da...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/13/2096 |
| _version_ | 1797480348493283328 |
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| author | Min-Huang Ho Ming-Yi Lai Yung-Tien Liu |
| author_facet | Min-Huang Ho Ming-Yi Lai Yung-Tien Liu |
| author_sort | Min-Huang Ho |
| collection | DOAJ |
| description | Industry 4.0 (I4.0) is a multidisciplinary engineering principle combing the IoT (Internet of things), big data, and cloud computing to cope with the dynamic changing industry. In this paper, the DDS (data distribution service) communication protocol was employed to implement a cloud platform for data acquisition from various sensors on a precision legacy machine tool including an accelerometer and sound, temperature, brightness, and humidity sensors. The sensor signals were acquired using Raspberry Pi as the edge device, then published to the cloud using the DDS application, and stored in the MySQL database. Using the Django web server, the acquired sensor signals could be shown in real time on the webpage via a combination of MQTT and Node-RED. In addition, the motion displacement of the machine tool detected by the encoder could be recorded through the edge device for further performance examination. With the proposed DDS cloud platform, it is demonstrated that a legacy machine can enable sensing and communication abilities such that the development of a smart machine is achievable for future I4.0 application. |
| first_indexed | 2024-03-09T21:58:24Z |
| format | Article |
| id | doaj.art-31759c5030ee4dc29e6bd262343d3d02 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T21:58:24Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-31759c5030ee4dc29e6bd262343d3d022023-11-23T19:52:47ZengMDPI AGElectronics2079-92922022-07-011113209610.3390/electronics11132096Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy MachineMin-Huang Ho0Ming-Yi Lai1Yung-Tien Liu2Cross College Elite Tech Program, National Kaohsiung University of Science and Technology, Kaohsiung 82445, TaiwanDepartment of Mechatronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 82445, TaiwanDepartment of Mechatronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 82445, TaiwanIndustry 4.0 (I4.0) is a multidisciplinary engineering principle combing the IoT (Internet of things), big data, and cloud computing to cope with the dynamic changing industry. In this paper, the DDS (data distribution service) communication protocol was employed to implement a cloud platform for data acquisition from various sensors on a precision legacy machine tool including an accelerometer and sound, temperature, brightness, and humidity sensors. The sensor signals were acquired using Raspberry Pi as the edge device, then published to the cloud using the DDS application, and stored in the MySQL database. Using the Django web server, the acquired sensor signals could be shown in real time on the webpage via a combination of MQTT and Node-RED. In addition, the motion displacement of the machine tool detected by the encoder could be recorded through the edge device for further performance examination. With the proposed DDS cloud platform, it is demonstrated that a legacy machine can enable sensing and communication abilities such that the development of a smart machine is achievable for future I4.0 application.https://www.mdpi.com/2079-9292/11/13/2096DDSMQTTIoTlegacy machinesmart machine |
| spellingShingle | Min-Huang Ho Ming-Yi Lai Yung-Tien Liu Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine Electronics DDS MQTT IoT legacy machine smart machine |
| title | Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine |
| title_full | Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine |
| title_fullStr | Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine |
| title_full_unstemmed | Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine |
| title_short | Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine |
| title_sort | implementation of dds cloud platform for real time data acquisition of sensors for a legacy machine |
| topic | DDS MQTT IoT legacy machine smart machine |
| url | https://www.mdpi.com/2079-9292/11/13/2096 |
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