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An internet of things architecture for real-time tide and wave monitoring using Heltec LoRa 32 and Kalman filter

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Abstract

Tidal data monitoring is an important component for onshore and offshore activities. This study designs a low-cost tide gauge and an architecture that combines the Internet of Things with numerical processing to record tidal and ocean wave data from a single sensor without compromising data quality. The location of tide gauge test is located in Timbulsloko Village, Sayung District, Demak Regency, Central Java, Indonesia. The tide gauge test was carried out for 13 days from January 1, 2022, to January 14, 2022. This tide gauge study used a Heltec LoRa 32,433 MHz microcontroller. The A01NYUB type UART ultrasonic sensor is used to measure sea level and wave height. Tidal data is filtered using the Kalman method until the tidal and residual signals are obtained. Timbulsloko is a micro-tidal region, the tidal range is less than 2 m. The mean high water spring (MHWS) is 1.15 m while the mean low water spring (MLWS) is 0.15 m. The type of tide that occurs in the Timbulsloko area, Demak is a mixed tide prevailing diurnal. The mean wave height of the recorded residuals is 22.82 cm. This tide gauge system produces good quality data when compared to other studies that use standardized observation and instrumentation.

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Acknowledgements

This research is funded by Algomarine (200) and Konfersi Indonesia (212) in 2021. We also want to thank MAPID for provides Internet of Things (IoT) platform.

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Correspondence to Satria Ginanjar.

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Ginanjar, S., Adiningsih, S., Ikhtiarino, S. et al. An internet of things architecture for real-time tide and wave monitoring using Heltec LoRa 32 and Kalman filter. J. Ocean Eng. Mar. Energy 9, 219–231 (2023). https://doi.org/10.1007/s40722-022-00258-7

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  • DOI: https://doi.org/10.1007/s40722-022-00258-7

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