Integrated SCADA Framework for Acid Deposition Monitoring with Occupational Safety Management

Authors

DOI:

https://doi.org/10.59261/bustechno.v7i4.758

Keywords:

Acid Deposition, Condition-Based Maintenance, Occupational Health and Safety, SCADA, Software-in-the-Loop

Abstract

Background: Acid deposition is a transboundary environmental problem that demands a reliable and safe measurement system. Previous studies on the same chamber progressed from manual measurement to real-time IoT monitoring; however, they still lacked centralized supervision, automated safety mechanisms, and early detection of sensor faults.

Objective: This study aimed to develop and evaluate an integrated supervisory system that combines Occupational Health and Safety (OHS) management with condition-based maintenance for acid deposition monitoring.

Methods: The system was designed using a Software-in-the-Loop (SiL) architecture within the Siemens ecosystem, following the ISA-95 framework, and was subsequently evaluated through fault-injection scenarios.

Results: The system monitored pH, temperature, water level, and actuator status at 1-second intervals without communication failures or data loss. The safety module detected all three tested hazardous pH conditions below 5.6, resulting in a Probability of Detection (POD) of 100%. The maintenance module detected out-of-range values and triggered an emergency shutdown after three faults occurred within 60 seconds. Availability varied from 66% to 93%, depending on failure frequency and repair time, indicating that faster recovery and fewer repeated failures improved system reliability.

Conclusion: The findings indicate that integrating supervision, OHS management, and condition-based maintenance can strengthen the safety, traceability, and reliability of acid deposition monitoring. The main novelty lies in integrating these functions within a single SCADA architecture validated through Software-in-the-Loop simulation, providing a practical basis for safer environmental monitoring stations and subsequent field implementation.

References

Bond, K. (2002). IEC 61511 - Functional Safety: Safety Instrumented Systems for the Process Industry Sector. Proceedings of the Annual Symposium on Instrumentation for the Process Industries, 57.

Goeritno, A., Muhidin, M., Annisa, S. C., Fitriani, F., Azama, I. M., Waluyo, R., Suratun, S., Muliawati, F., Irawan, J., & Ramadhan, A. (2024). Implementation of a Safety Instrumented System: A Comprehensive Review and Conceptual Framework. Journal of Applied Science and Advanced Engineering, 2(2), 41–50. https://doi.org/10.59097/jasae.v2i2.33

González-Cañizalez, Y., Sangacha-Tapia, Lady, Manrique-Suarez, R., & Silva-Barreto, J. (2024). IIoT trends in Occupational Safety and Health: A perspective from text-mining data analysis. E3S Web of Conferences, 532. https://doi.org/10.1051/e3sconf/202453202006

Güney, G., & Kahraman, B. (2022). Implementation of the Analytic Hierarchy Process (AHP) and Fine-Kinney Method (FKM) against Risk Factors to Determine the Total Cost of Occupational Health and Safety Precautions in Environmental Research Laboratories. International Journal of Occupational Safety and Ergonomics, 28(4), 2606–2622. https://doi.org/10.1080/10803548.2021.2010969

Gu, W., Yang, F., Li, W., Wang, Z., & Zhu, Z. (2025). Intelligent Monitoring System for Hazardous Sources in University Laboratories Based on IoT-Enabled Smart Sensing. Experimental Technology and Management, 42(12), 238–245. https://doi.org/10.16791/j.cnki.sjg.2025.12.029

IEC. (2010). IEC 61508 : Functional safety of electrical/electronic/programmable electronic safety-related systems - Part 1: General requirements. 1st IEE Automotive Electronics Conference.

ISA, A. (2009). Isa-18.2: Management of alarm systems for the process industries. International Society of Automation. Durham, NC, USA.

Kurz, J. H., Jüngert, A., Dugan, S., & Dobmann, G. (2012). Probability of Detection ( POD ) determination using ultrasound phased array for considering NDT in probabilistic damage assessments. Soth-African Institute for Non-Destructive Testing: World Conference on Nondestructive Testing, Vol. 18. WCNDT, (paper 329).

Martins, A., Fonseca, I., Farinha, J. T., Reis, J., & Cardoso, A. J. M. (2023). Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance. Sensors, 23(5), 2402. https://doi.org/10.3390/s23052402

Maseda, F. J., López, I., Martija, I., Alkorta, P., Garrido, A. J., & Garrido, I. (2021). Sensors Data Analysis in Supervisory Control and Data Acquisition (SCADA) Systems to Foresee Failures with an Undetermined Origin. Sensors, 21(8), 2762. https://doi.org/10.3390/s21082762

Mohajan, H. K. (2018). Acid Rain is a Local Environment Pollution but Global Concern. Open Science Journal of Analytical Chemistry, 3(5), 47–55. https://mpra.ub.uni-muenchen.de/91622/

MUHAMMAD, T. (2023). Kontrol Temperatur dalam Ruang Pengukuran pada Pengamatan Deposisi Asam. Universitas Telkom, S1 Teknik Fisika.

Okoh, P., & Myklebust, T. (2024). Mapping to IEC 61508 the hardware safety integrity of elements developed to ISO 26262. Safety and Reliability, 43(2). https://doi.org/10.1080/09617353.2024.2343959

Ramadhan, A., Chandra, I., Setyawati, W., Tanti, D. A., Indrawati, A., Alawi, A. F., Karo, B. F. B., Sabilla, V. A., & Prihatini, A. P. A. (2024). Central Tendency Data Real-Time Acid Rain Measurement to Evaluate Tool’s Performance Using Statistical Analysis. International Journal on Advanced Science, Engineering and Information Technology, 14(4), 1161–1169. https://doi.org/10.18517/ijaseit.14.4.19273

Ramos, D., Cotrim, T., Arezes, P., Baptista, J., Rodrigues, M., & Leitão, J. (2022). Frontiers in Occupational Health and Safety Management. International Journal of Environmental Research and Public Health, 19(17), 10759. https://doi.org/10.3390/ijerph191710759

Rievaldo, D., Chandra, I., Setyawati, W., Indrawati, A., Tanti, D. A., Ramadhan, A., Mubarok, L. R., Rasyid, T. R., Aziz, A. A., & Burhanudin, Z. A. (2023). Effect of Rainfall on the Chemical Composition of Rainwater in Monitoring Acid Deposition in Greater Bandung. Indonesian Journal of Urban and Environmental Technology, 6(1), 49–62. https://doi.org/10.25105/urbanenvirotech.v6i1.14051

Scholten, B., & Brandl, D. (2026). The Road to Integration. Wiley. https://doi.org/10.1002/9781394438501

Šverko, M., Galinac Grbac, T., & Mikuc, M. (2022). SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0. IEEE Access, 10, 109395–109430. https://doi.org/10.1109/ACCESS.2022.3211288

Syafaati, A. D., & Kartika, Y. (2023). Analysis of Air Quality Wet and Dry Deposition Parameters in Sorong in 2022. Casuarina: Environmental Engineering Journal, 1(1), 1–12. https://doi.org/10.33506/ceej.v1i1.2748

Tai, J. L., Sultan, M. T. H., & Shahar, F. S. (2025). Analysis of Phased Array Corrosion Mapping Data Using Probabilistic Detection (POD) Method. Pertanika Journal of Science and Technology, 33(4). https://doi.org/10.47836/pjst.33.4.10

Tanti, D. A., Rachman, A., Taopik, O., Indrawati, A., Setyawati, W., Triani, L. R., & Sari, W. J. (2025). Pengaruh Polusi Udara terhadap Deposisi Asam di Daerah Sekitar Pantai. Jurnal Teknologi Lingkungan, 26(1), 40–45. https://doi.org/10.55981/jtl.2025.4902

van Limpt, G. J. C., van Vliet, P., Molenaar, M. A., de Bie, A. J. R., van Haren, L., van Leijsen, T. D., Robba, C., Sinnige, J. S., Horn, J., Neto, A. S., Paulus, F., Schultz, M. J., & Buiteman–Kruizinga, L. A. (2026). Alarms and alarm management with automated versus conventional ventilation in neurocritical care patients. Intensive and Critical Care Nursing, 97. https://doi.org/10.1016/j.iccn.2026.104471

Yim, S. H. L., Gu, Y., Shapiro, M. A., & Stephens, B. (2019). Air Quality and Acid Deposition Impacts of Local Emissions and Transboundary Air Pollution in Japan and South Korea. Atmospheric Chemistry and Physics, 19(20), 13309–13323. https://doi.org/10.5194/acp-19-13309-2019

Zhang, Y., Luo, X., Li, Y., Peng, S., Zhu, L., Zhou, Y., & Fujita, H. (2026). Cooperative Control of Traffic Signals and Vehicle Trajectories Using Multi-Agent Actor-Critic Approach With Vehicle-Road-Cloud Integration. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2026.3681395

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Published

2026-09-19