Implementasi Modbus TCP dalam Pengiriman Data Deteksi Objek ke PLC Schneider M221
Abstract
Visi komputer telah diaplikasikan dalam berbagai sektor termasuk sektor industri. Aplikasi teknologi ini dapat menciptakan sistem manufaktur cerdas. Meskipun demikian, kurangnya alat praktikum yang memadai di perguruan tinggi dapat menyebabkan celah pengetahuan antara industri dan perguruan tinggi sebagai pencetak insinyur. Untuk menutup kekurangan tersebut, sebuah alat peraga deteksi objek di atas konveyor peraga berbasis Raspberry Pi 4 telah didesain di Laboratorium Schneider Electric Universitas Gadjah Mada. Meskipun demikian, alat peraga ini masih berdiri sendiri sehingga perlu dihubungkan ke sistem yang lebih besar seperti di industri. Penelitian ini dilakukan untuk menjalin komunikasi antara Raspberry Pi 4 dengan PLC Schneider M221 sehingga dapat terjadi pengiriman data deteksi objek. Komunikasi ini diimplementasikan dengan protokol Modbus TCP. Dari pengujian, data deteksi berhasil ditransfer secara akurat ke memori dan mengubah kondisi relay output PLC M221 sehingga dapat menjadi dasar pengendalian lebih lanjut. Pengiriman data memiliki latensi sebesar 0,007249 detik dan 0,009185 detik untuk data dalam bit dan word.
Downloads
References
P. R. L. de Almeida, J. H. Alves, R. S. Parpinelli, and J. P. Barddal, “A systematic review on computer vision-based parking lot management applied on public datasets,” Expert Systems with Applications, vol. 198. Elsevier Ltd, Jul. 15, 2022. doi: 10.1016/j.eswa.2022.116731.
H. M. Ahmad and A. Rahimi, “Deep learning methods for object detection in smart manufacturing: A survey,” J Manuf Syst, vol. 64, pp. 181–196, 2022.
I.-C. Chen, R.-C. Hwang, and H.-C. Huang, “PCB Defect Detection Based on Deep Learning Algorithm,” Processes, vol. 11, no. 3, p. 775, Mar. 2023, doi: 10.3390/pr11030775.
B. Wang, F. Tao, X. Fang, C. Liu, Y. Liu, and T. Freiheit, “Smart Manufacturing and Intelligent Manufacturing: A Comparative Review,” Engineering, vol. 7, no. 6, pp. 738–757, Jun. 2021, doi: 10.1016/j.eng.2020.07.017.
A. Barari, M. de Sales Guerra Tsuzuki, Y. Cohen, and M. Macchi, “Editorial: intelligent manufacturing systems towards industry 4.0 era,” J Intell Manuf, vol. 32, no. 7, pp. 1793–1796, Oct. 2021, doi: 10.1007/s10845-021-01769-0.
Y. Chen et al., “Application of YOLOv4 Algorithm for Foreign Object Detection on a Belt Conveyor in a Low-Illumination Environment,” Sensors, vol. 22, no. 18, p. 6851, Sep. 2022, doi: 10.3390/s22186851.
G. Li et al., “A critical review of cyber-physical security for building automation systems,” Annu Rev Control, vol. 55, pp. 237–254, 2023, doi: 10.1016/j.arcontrol.2023.02.004.
D. Mancheno and S. Gamboa, “Development of an Industrial IoT Gateway Prototype,” 2022, pp. 61–75. doi: 10.1007/978-3-031-08942-8_5.
J. Wang et al., “A Modeling and Verification Method of Modbus TCP/IP Protocol,” 2022, pp. 527–539. doi: 10.1007/978-3-030-95391-1_33.
A. Gumaei et al., “A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids,” Appl Soft Comput, vol. 96, p. 106658, Nov. 2020, doi: 10.1016/j.asoc.2020.106658.
F. Katulić, D. Sumina, S. Groš, and I. Erceg, “Protecting Modbus/TCP-Based Industrial Automation and Control Systems Using Message Authentication Codes,” IEEE Access, vol. 11, pp. 47007–47023, 2023, doi: 10.1109/ACCESS.2023.3275443.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Open Access Policy
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
Its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself.
