Araştırma Makalesi
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LabVIEW and Embedded System based New IoT Solution for Industrial applications

Yıl 2022, Cilt: 10 Sayı: 2, 106 - 114, 01.05.2022
https://doi.org/10.21541/apjess.1065390

Öz

The Internet of Things (IoT) is becoming increasingly popular around the world. Efficiency in terms of time and cost is ensured in all sectors, thanks to the internet of things technology. A novel IoT system design was created in this study to add Internet of Things technology to a new perspective. All clients can connect to the server using this IoT platform, regardless of their hardware or software capabilities, even if they are not capable of industrial communication. The platform brings flexibility and ease of use to IoTapplications. Thanks to the platform's architecture, any device, whether inputs or outputs, can be easily added to an IoT network while it is running using the developed modules. The server software was created using the LabVIEW visual programming language and Raspberry Pi and MSP340F5529 embedded systems are used to develop hardware modules. To provide IoT data security, the TCP/IP protocol is used for data communication, and all data is encrypted using the AES (Advanced Encryption Standard) algorithm with a 128-bit key. A dynamic 1-N server-client IoT system has been implemented and tested with various analog, digital, and smart sensors, as well as smart devices. When the results are evaluated, it is found that industrial applications can be developed with the platform. Particularly in the case of transformation of industrial automation applications to IoT containing non-smart sensor and actuators, the developed platform can be preferred. In this case, the platform will bring opportunities to engineers in terms of cost and ease of development phase.

Kaynakça

  • [1] OW Chuan , SH Ruslan , “ Medical warehouse monitoring and control system using LabVIEW ”, International Conference on Electrical , Electronics and Optimization Techniques (ICEEOT), pp . 2396-2401, 2016.
  • [2] B. Kaya, A. Altintas, U. Kök, “Design and Implementation of a Flexible Automation System Data Tracking System, Süleyman Demirel University Journal of Technological Sciences (UTBD), pp . 30-38, 2015.
  • [3] LEP Bolivar , AG Alexandre da Silva , “Solar radiation monitoring using electronic embedded system Raspberry Pi database connection MySQL , Ubidots and TCS-230 sensor”, CHILEAN Conference on Electrical , Electronics Engineering , Information and Communication Technologies (CHILECON), pp . 473-479, 2015.
  • [4] R. Jegan , WS Nimi, “ Low cost and improved performance measures on filtering techniques for ECG signal processing and TCP/IP based monitoring using LabVIEW ” 4th International Conference on Advanced Computing and Communication Systems (ICACCS), pp . 1- 7, 2017.
  • [5] J. Hnidka , D. Rozehnal , “ Strain gauge measurement system with Wi - Fi data transfer in LabVIEW ”, International Conference on Military Technologies (ICMT), pp . 520-525, 2017.
  • [6] J. Shah , B. Mishra , “ Customized IoT enabled wireless sensing and monitoring platform for mart buildings ”, Procedia Technology , Vol.23, pp . 256-263, 2016.
  • [7] V. Vujovic , M. Maksimovic , “ Raspberry Pi as a sensor web node for home automation ”, Computers and Electrical Engineering , Vol.44, pp . 153-171, 2015.
  • [8] BK Swain , S. Dash , SS Gouda , “ Raspberry Pi based integrated autonomous vehicle using LabVIEW ”, 3rd International Conference on Sensing , Signal Processing and Security”, pp . 69-73, 2017.
  • [9] JE Gómez , FR Marcillo , FL Triana , VT Gallo , BW Oviedo , VL Hernández , “ IoT for environmental variables in urban areas ”, Procedia computer Science , Vol . 109, p . 67-74, 2017.
  • [10] MA Prada , P. Reguera , S. Alonso , A. Morán , JJ Fuertes , M. Domínguez , “ Communication with resource-constrained devices through MQTT _ control education ”, IFAC- PapersOnLine , Vol.49, pp . 150-155, 2016.
  • [11] T. Oksanen , R. Linkolehto , I. Seilonen , “ Adapting an industrial automation protocol to remote monitoring of mobile agricultural machinery : a combine harvester with IoT ”, IFAC -PapersOnLine , Vol.49, pp . 127-131, 2016.
  • [12] D. Shah , V. Harad , “ IoT Based biometrics Implementation on Raspberry Pi”, Procedia computer Science , Vol.79, pp . 328-336, 2016.
  • [13] NI, URL: https://zone.ni.com/reference/en-XX/help/371361R-01/lvconcepts/reentrancy/ ( Reached ; January , 17, 2022).
  • [14] NI, URL: https://zone.ni.com/reference/en-XX/help/371361R-01/lvhowto/acbr_call_and_collect/ ( Reached ; January , 17, 2022).
  • [15] NI, URL: http://www.ni.com/example/31091/en/ ( Reached ; January , 17, 2022).
  • [16] tsxperts LabVIEW for Rapberry Pi Toolkit, URL: https://www.tsxperts.com/labviewforraspberrypi/ ( Reached ; January , 17, 2022).
  • [17] MCUTurkey , URL: https://www.mcu-turkey.com/wp-content/uploads/2011/03/EnergiaProgramlama.pdf ( Reached ; January , 17, 2022).
  • [18] MariaDB , URL: https://mariadb.org/about/ ( Reached ; January , 17, 2022).
  • [19] HeidiSQL , URL: https://www.heidisql.com/ ( Reached ; January , 17, 2022).
  • [20] Raspberry Pi Website , URL: https://www.raspberrypi.org/products/raspberry-pi-2-model-b/ ( Reached ; January , 17, 2022).
  • [21] TI, URL: www.ti.com/tool/MSP-EXP430F5529LP ( Reached ; January , 17, 2022).
  • [22] Elektrik Port, URL: http://www.elektrikport.com/teknik-kutuphane/tcpip-nasil-calisir/9004#adimage-0 ( Reached ; January , 17, 2022).
  • [23] Network Security and Network Protocols, Department of Electrical and Electronic Technologies, Ministry of National Education Publications, 2011
  • [24] Z. Rahman, X. Yi, I. Khalil, M. Sumi, “Chaos and Logistic Map based Key Generation Technique for AES - driven IoT Security”, Computer Science - Cryptography and Security, H.4.1, 2022.
Yıl 2022, Cilt: 10 Sayı: 2, 106 - 114, 01.05.2022
https://doi.org/10.21541/apjess.1065390

Öz

Kaynakça

  • [1] OW Chuan , SH Ruslan , “ Medical warehouse monitoring and control system using LabVIEW ”, International Conference on Electrical , Electronics and Optimization Techniques (ICEEOT), pp . 2396-2401, 2016.
  • [2] B. Kaya, A. Altintas, U. Kök, “Design and Implementation of a Flexible Automation System Data Tracking System, Süleyman Demirel University Journal of Technological Sciences (UTBD), pp . 30-38, 2015.
  • [3] LEP Bolivar , AG Alexandre da Silva , “Solar radiation monitoring using electronic embedded system Raspberry Pi database connection MySQL , Ubidots and TCS-230 sensor”, CHILEAN Conference on Electrical , Electronics Engineering , Information and Communication Technologies (CHILECON), pp . 473-479, 2015.
  • [4] R. Jegan , WS Nimi, “ Low cost and improved performance measures on filtering techniques for ECG signal processing and TCP/IP based monitoring using LabVIEW ” 4th International Conference on Advanced Computing and Communication Systems (ICACCS), pp . 1- 7, 2017.
  • [5] J. Hnidka , D. Rozehnal , “ Strain gauge measurement system with Wi - Fi data transfer in LabVIEW ”, International Conference on Military Technologies (ICMT), pp . 520-525, 2017.
  • [6] J. Shah , B. Mishra , “ Customized IoT enabled wireless sensing and monitoring platform for mart buildings ”, Procedia Technology , Vol.23, pp . 256-263, 2016.
  • [7] V. Vujovic , M. Maksimovic , “ Raspberry Pi as a sensor web node for home automation ”, Computers and Electrical Engineering , Vol.44, pp . 153-171, 2015.
  • [8] BK Swain , S. Dash , SS Gouda , “ Raspberry Pi based integrated autonomous vehicle using LabVIEW ”, 3rd International Conference on Sensing , Signal Processing and Security”, pp . 69-73, 2017.
  • [9] JE Gómez , FR Marcillo , FL Triana , VT Gallo , BW Oviedo , VL Hernández , “ IoT for environmental variables in urban areas ”, Procedia computer Science , Vol . 109, p . 67-74, 2017.
  • [10] MA Prada , P. Reguera , S. Alonso , A. Morán , JJ Fuertes , M. Domínguez , “ Communication with resource-constrained devices through MQTT _ control education ”, IFAC- PapersOnLine , Vol.49, pp . 150-155, 2016.
  • [11] T. Oksanen , R. Linkolehto , I. Seilonen , “ Adapting an industrial automation protocol to remote monitoring of mobile agricultural machinery : a combine harvester with IoT ”, IFAC -PapersOnLine , Vol.49, pp . 127-131, 2016.
  • [12] D. Shah , V. Harad , “ IoT Based biometrics Implementation on Raspberry Pi”, Procedia computer Science , Vol.79, pp . 328-336, 2016.
  • [13] NI, URL: https://zone.ni.com/reference/en-XX/help/371361R-01/lvconcepts/reentrancy/ ( Reached ; January , 17, 2022).
  • [14] NI, URL: https://zone.ni.com/reference/en-XX/help/371361R-01/lvhowto/acbr_call_and_collect/ ( Reached ; January , 17, 2022).
  • [15] NI, URL: http://www.ni.com/example/31091/en/ ( Reached ; January , 17, 2022).
  • [16] tsxperts LabVIEW for Rapberry Pi Toolkit, URL: https://www.tsxperts.com/labviewforraspberrypi/ ( Reached ; January , 17, 2022).
  • [17] MCUTurkey , URL: https://www.mcu-turkey.com/wp-content/uploads/2011/03/EnergiaProgramlama.pdf ( Reached ; January , 17, 2022).
  • [18] MariaDB , URL: https://mariadb.org/about/ ( Reached ; January , 17, 2022).
  • [19] HeidiSQL , URL: https://www.heidisql.com/ ( Reached ; January , 17, 2022).
  • [20] Raspberry Pi Website , URL: https://www.raspberrypi.org/products/raspberry-pi-2-model-b/ ( Reached ; January , 17, 2022).
  • [21] TI, URL: www.ti.com/tool/MSP-EXP430F5529LP ( Reached ; January , 17, 2022).
  • [22] Elektrik Port, URL: http://www.elektrikport.com/teknik-kutuphane/tcpip-nasil-calisir/9004#adimage-0 ( Reached ; January , 17, 2022).
  • [23] Network Security and Network Protocols, Department of Electrical and Electronic Technologies, Ministry of National Education Publications, 2011
  • [24] Z. Rahman, X. Yi, I. Khalil, M. Sumi, “Chaos and Logistic Map based Key Generation Technique for AES - driven IoT Security”, Computer Science - Cryptography and Security, H.4.1, 2022.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yazılım Mühendisliği (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Görkem Sungur Bu kişi benim 0000-0003-2876-8612

Barış Boru 0000-0002-0993-3187

Erken Görünüm Tarihi 7 Mayıs 2022
Yayımlanma Tarihi 1 Mayıs 2022
Gönderilme Tarihi 31 Ocak 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 10 Sayı: 2

Kaynak Göster

IEEE G. Sungur ve B. Boru, “LabVIEW and Embedded System based New IoT Solution for Industrial applications”, APJESS, c. 10, sy. 2, ss. 106–114, 2022, doi: 10.21541/apjess.1065390.

Academic Platform Journal of Engineering and Smart Systems