Development of IoT Sensor Data Generation Emulator for Smart Marine Logistics 


Vol. 13,  No. 10, pp. 545-552, Oct.  2024
https://doi.org/10.3745/TKIPS.2024.13.10.545


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  Abstract

As the 4th Industrial Revolution progresses, the shipping logistics sector is becoming smarter by utilizing various core technologies such as AI, IoT, and Bigdata. In particular, the collected marine Bigdata plays a significant role in providing various services like vessel operation monitoring analysis and greenhouse gas emission evaluation, and it is also essential in shipping logistics. Although this maritime Bigdata is collected during actual vessel operations, there are instances where data is lost due to temporal and environmental factors. While It is important to identify and address the fundamental cause of such losses, it is also necessary to generate data through the utilization and analysis of the collected data. This paper develops an Emulator that repeatedly generates new location data, speed values, etc., using maritime transport data collected through empirical tests. The location data is generated by calculating the standard deviation from the collected position information, and the speed values are extracted from the generated location data. The generated data is accumulated by being inserted into the database in real-time. To demonstrate the performance of the Emulator, evperiments were conducted using 5 routes, providing its excellence.

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[IEEE Style]

P. C. Rim, K. T. Hoon, L. E. Kyu, "Development of IoT Sensor Data Generation Emulator for Smart Marine Logistics," The Transactions of the Korea Information Processing Society, vol. 13, no. 10, pp. 545-552, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.545.

[ACM Style]

Park Chae Rim, Kim Tae Hoon, and Lee Eun Kyu. 2024. Development of IoT Sensor Data Generation Emulator for Smart Marine Logistics. The Transactions of the Korea Information Processing Society, 13, 10, (2024), 545-552. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.545.

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