Earthquake early warning system using ADXL335 accelerometersensor based on IoT
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Published:
Aug 30, 2023
Keywords:
Accelerometer, ADXL335, Blynk, Buzzer, Earthquakes, Internet Of Things (IoT), LCD, Smartphone
Section
Computer Science
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Abstract
Earthquakes are vibrations that occur on the earth's surface due to the sudden release of energy from within the earth that creates seismic waves. Earthquakes are usually caused by movement of the earth's crust (plates). The frequency of an area, refers to the type and size of earthquakes experienced over a period of time. Often with the development of technology, it provides a solution to minimize the impact of earthquake events. For this reason, an earthquake warning alarm is needed as an early warning and anticipation of the community when an earthquake occurs. Therefore, researchers made a tool which uses the Accelerometer sensor and arduino nano as a controller and is accompanied by the blynk application as an earthquake early warning notification sent via smartphone. This tool is processed using an Arduino Nano microcontroller as a controlling component. The working system of this tool uses an 8 Volt lithium battery installed in series as a voltage source, which will be reduced to 5 Volts with a stepdown module, because by using a battery voltage of 8 Volts and coupled with a lot of load, the Arduino Regulator IC will experience overheating or heat up quickly. This tool has been successfully designed with manual testing to be able to see the sensitivity of the earthquake sensor made, by utilizing seismic waves that arise due to ground movement. This tool successfully detects earthquakes with horizontal and vertical vibrations, and this tool is quite effective because it does not detect vibrations generated in the surrounding environment. Based on the tests carried out, at an accelerometer sensor tilt angle of 90o the system reads an earthquake strength of around 7-10 Richter Scale (SR) with a WASPADA status
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How to Cite
Lubis, F. ., Sundawa, B. V. ., Cholish, C. and Abdullah, A. (2023) “Earthquake early warning system using ADXL335 accelerometersensor based on IoT”, Jurnal Mantik, 7(2), pp. 1531-1540. doi: 10.35335/mantik.v7i2.4107.
References
Apriani, Y., Oktaviani, W. A., & Sofian, I. M. (2022). Design and Implementation of LoRa-Based Forest Fire Monitoring System. Journal of Robotics and Control (JRC), 3(3), 236-243.
Babu, V., & Rajan, V. (2019). Flood and earthquake detection and rescue using IoT technology. Paper presented at the 2019 International Conference on Communication and Electronics Systems (ICCES).
Balamurugan, S., Sasi, G., Mohanapriya, A., FaridhaBanu, D., Ramalingam, S., & SakthiKumar, B. (2022). An IoT based Natural Disaster Monitoring for Railway Accident Warning Alert System. Paper presented at the 2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4).
Banerjee, I., & Madhumathy, P. (2022). IoT?Based Health Monitoring System for Speech?Impaired People Using Assistive Wearable Accelerometer. Advanced Healthcare Systems: Empowering Physicians with IoT?Enabled Technologies, 81-99.
Bhasha, P., Pavan Kumar, T., Baseer, K. K., & Jyothsna, V. (2021). An IoT-based BLYNK server application for infant monitoring alert system to detect crying and wetness of a baby. Paper presented at the International Conference on Intelligent and Smart Computing in Data Analytics: ISCDA 2020.
Budiyanto, S., Silalahi, L. M., Simanjuntak, I. U. V., Silaban, F. A., Osman, G., & Rochendi, A. D. (2022). Smart Door Lock Prototype Design at Internet of Things-Based Airport. Paper presented at the 2022 5th International Conference of Computer and Informatics Engineering (IC2IE).
Chethan, H., Jayaraj, C., Jatinjayasimha, V., & Srihari, D. (2021). Home Automation with Blynk and Nodemcu. Turkish Journal of Computer and Mathematics Education, 12(12), 2669-2674.
Chuang, C.-C., Yao, C.-J., & Wu, S.-T. (2020). Study on fast charging method of series connected lithium-ion battery strings with intelligent control. Paper presented at the 2020 International conference on fuzzy theory and its applications (iFUZZY).
Damala, R. B., & Patnaik, R. K. (2023). Dual Axis Solar Tracking with Weather Monitoring System by Using IR and LDR Sensors with Arduino UNO. Smart Grids for Smart Cities, Volume 1, 1, 269-284.
Dehghan, M., Tahmasebipour, M., & Ebrahimi, S. (2022). Design, fabrication, and characterization of an SLA 3D printed nanocomposite electromagnetic microactuator. Microelectronic Engineering, 254, 111695.
Du, C., Dutta, S., Kurup, P., Yu, T., & Wang, X. (2020). A review of railway infrastructure monitoring using fiber optic sensors. Sensors and Actuators A: Physical, 303, 111728.
Duggal, R., Gupta, N., Pandya, A., Mahajan, P., Sharma, K., & Angra, P. (2022). Building structural analysis based Internet of Things network assisted earthquake detection. Internet of things, 19, 100561.
Fan, W.-H., Wang, W.-K., Liang, C.-K., Yang, M.-L., Hsu, W.-L., & Shiau, Y.-C. (2021). Smart Earthquake Disaster Prevention System. Sensors & Materials, 33.
Ghazali, M. H. M., & Rahiman, W. (2022). An investigation of the reliability of different types of sensors in the real-time vibration-based anomaly inspection in drone. Sensors, 22(16), 6015.
Hailan, M. A., Albaker, B. M., & Alwan, M. S. (2023). Transformation to a smart factory using NodeMCU with Blynk platform. Indonesian Journal of Electrical Engineering and Computer Science, 30(1), 237-245.
Hoque, R., Hassan, S., Sadaf, M. A., Galib, A., & Karim, T. F. (2015). Earthquake monitoring and warning system. Paper presented at the 2015 International Conference on Advances in Electrical Engineering (ICAEE).
Iriani, J., & Sundawa, B. V. (2023). Design of Earthquake Warning Alarm Using Accelerometer Sensor Based on Internet of Things. International Journal of Research in Vocational Studies (IJRVOCAS), 3(1), 32-35.
Kelman, I. (2020). Disaster by choice: How our actions turn natural hazards into catastrophes: Oxford University Press.
Khandelwal, V., Ramtekkar, P., Chauhan, M., Bhute, Y., & Kouthekar, R. (2022). Sensor Based Vibration Analysis of Motor Using MATLAB Software. Paper presented at the 2022 10th International Conference on Emerging Trends in Engineering and Technology-Signal and Information Processing (ICETET-SIP-22).
Kodali, R. K., Pathuri, S., & Rajnarayanan, S. C. (2020). Smart indoor air pollution monitoring station. Paper presented at the 2020 International Conference on Computer Communication and Informatics (ICCCI).
Kondaveeti, H. K., Kumaravelu, N. K., Vanambathina, S. D., Mathe, S. E., & Vappangi, S. (2021). A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations. Computer Science Review, 40, 100364.
Lee, J., Khan, I., Choi, S., & Kwon, Y.-W. (2019). A smart iot device for detecting and responding to earthquakes. Electronics, 8(12), 1546.
Othman, A., & Zakaria, N. H. (2020). Energy Meter based Wireless Monitoring System using Blynk Application via smartphone. Paper presented at the 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Prasojo, I., Maseleno, A., & Shahu, N. (2021). The design of earthquake detector using pendulum swing based on ATMega328. Journal of Robotics and Control (JRC), 2(3), 209-211.
Pu, C., & Zhou, X. (2019). RescueMe: Smartphone-based self rescue system for disaster rescue. Paper presented at the 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC).
Rahayu, M., Widlan, M. N., & Bramantyo, H. A. (2022). Smart trash with web integrated volume monitoring and sorting system via MQTT protocol. E-JOINT (Electronica and Electrical Journal Of Innovation Technology), 3(1), 6-11.
Rajan, D. (2021). Automatic Railway Gate Control System Using Arduino Controller.
Reddy, M. G., Wei, T. J., Kumar, M. G. J., Poojitha, V., Goud, K. H., Ji, W., . . . Mokayef, M. (2023). Data Transmission by Li-Fi in Coal Mining.
Shapira, S., Aharonson-Daniel, L., & Bar-Dayan, Y. (2018). Anticipated behavioral response patterns to an earthquake: The role of personal and household characteristics, risk perception, previous experience and preparedness. International journal of disaster risk reduction, 31, 1-8.
Subashini, M., Sudarmani, R., Gobika, S., & Varshini, R. (2021). Development of Smart Flood Monitoring and Early Warning System using Weather Forecasting Data and Wireless Sensor Networks-A Review. Paper presented at the 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV).
Swastika, R., Hendriyati, P., & Cahyadi, D. A. (2021). THE PROTOTYPE AND DESIGN OF EARLY DETECTION OF GAS LEAKAGE BASED ON MICROCONTROLLER USING PERSONAL EXTREME PROGRAMMING METHOD. Jurnal TAM (Technology Acceptance Model), 12(2), 164-170.
Wald, D. J. (2020). Practical limitations of earthquake early warning. Earthquake Spectra, 36(3), 1412-1447.
Wijkman, A., & Timberlake, L. (2021). Natural disasters: acts of God or acts of man? : Routledge.
Zilberman, I., Ludwig, S., & Jossen, A. (2019). Cell-to-cell variation of calendar aging and reversible self-discharge in 18650 nickel-rich, silicon–graphite lithium-ion cells. Journal of Energy Storage, 26, 100900.
Babu, V., & Rajan, V. (2019). Flood and earthquake detection and rescue using IoT technology. Paper presented at the 2019 International Conference on Communication and Electronics Systems (ICCES).
Balamurugan, S., Sasi, G., Mohanapriya, A., FaridhaBanu, D., Ramalingam, S., & SakthiKumar, B. (2022). An IoT based Natural Disaster Monitoring for Railway Accident Warning Alert System. Paper presented at the 2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4).
Banerjee, I., & Madhumathy, P. (2022). IoT?Based Health Monitoring System for Speech?Impaired People Using Assistive Wearable Accelerometer. Advanced Healthcare Systems: Empowering Physicians with IoT?Enabled Technologies, 81-99.
Bhasha, P., Pavan Kumar, T., Baseer, K. K., & Jyothsna, V. (2021). An IoT-based BLYNK server application for infant monitoring alert system to detect crying and wetness of a baby. Paper presented at the International Conference on Intelligent and Smart Computing in Data Analytics: ISCDA 2020.
Budiyanto, S., Silalahi, L. M., Simanjuntak, I. U. V., Silaban, F. A., Osman, G., & Rochendi, A. D. (2022). Smart Door Lock Prototype Design at Internet of Things-Based Airport. Paper presented at the 2022 5th International Conference of Computer and Informatics Engineering (IC2IE).
Chethan, H., Jayaraj, C., Jatinjayasimha, V., & Srihari, D. (2021). Home Automation with Blynk and Nodemcu. Turkish Journal of Computer and Mathematics Education, 12(12), 2669-2674.
Chuang, C.-C., Yao, C.-J., & Wu, S.-T. (2020). Study on fast charging method of series connected lithium-ion battery strings with intelligent control. Paper presented at the 2020 International conference on fuzzy theory and its applications (iFUZZY).
Damala, R. B., & Patnaik, R. K. (2023). Dual Axis Solar Tracking with Weather Monitoring System by Using IR and LDR Sensors with Arduino UNO. Smart Grids for Smart Cities, Volume 1, 1, 269-284.
Dehghan, M., Tahmasebipour, M., & Ebrahimi, S. (2022). Design, fabrication, and characterization of an SLA 3D printed nanocomposite electromagnetic microactuator. Microelectronic Engineering, 254, 111695.
Du, C., Dutta, S., Kurup, P., Yu, T., & Wang, X. (2020). A review of railway infrastructure monitoring using fiber optic sensors. Sensors and Actuators A: Physical, 303, 111728.
Duggal, R., Gupta, N., Pandya, A., Mahajan, P., Sharma, K., & Angra, P. (2022). Building structural analysis based Internet of Things network assisted earthquake detection. Internet of things, 19, 100561.
Fan, W.-H., Wang, W.-K., Liang, C.-K., Yang, M.-L., Hsu, W.-L., & Shiau, Y.-C. (2021). Smart Earthquake Disaster Prevention System. Sensors & Materials, 33.
Ghazali, M. H. M., & Rahiman, W. (2022). An investigation of the reliability of different types of sensors in the real-time vibration-based anomaly inspection in drone. Sensors, 22(16), 6015.
Hailan, M. A., Albaker, B. M., & Alwan, M. S. (2023). Transformation to a smart factory using NodeMCU with Blynk platform. Indonesian Journal of Electrical Engineering and Computer Science, 30(1), 237-245.
Hoque, R., Hassan, S., Sadaf, M. A., Galib, A., & Karim, T. F. (2015). Earthquake monitoring and warning system. Paper presented at the 2015 International Conference on Advances in Electrical Engineering (ICAEE).
Iriani, J., & Sundawa, B. V. (2023). Design of Earthquake Warning Alarm Using Accelerometer Sensor Based on Internet of Things. International Journal of Research in Vocational Studies (IJRVOCAS), 3(1), 32-35.
Kelman, I. (2020). Disaster by choice: How our actions turn natural hazards into catastrophes: Oxford University Press.
Khandelwal, V., Ramtekkar, P., Chauhan, M., Bhute, Y., & Kouthekar, R. (2022). Sensor Based Vibration Analysis of Motor Using MATLAB Software. Paper presented at the 2022 10th International Conference on Emerging Trends in Engineering and Technology-Signal and Information Processing (ICETET-SIP-22).
Kodali, R. K., Pathuri, S., & Rajnarayanan, S. C. (2020). Smart indoor air pollution monitoring station. Paper presented at the 2020 International Conference on Computer Communication and Informatics (ICCCI).
Kondaveeti, H. K., Kumaravelu, N. K., Vanambathina, S. D., Mathe, S. E., & Vappangi, S. (2021). A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations. Computer Science Review, 40, 100364.
Lee, J., Khan, I., Choi, S., & Kwon, Y.-W. (2019). A smart iot device for detecting and responding to earthquakes. Electronics, 8(12), 1546.
Othman, A., & Zakaria, N. H. (2020). Energy Meter based Wireless Monitoring System using Blynk Application via smartphone. Paper presented at the 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Prasojo, I., Maseleno, A., & Shahu, N. (2021). The design of earthquake detector using pendulum swing based on ATMega328. Journal of Robotics and Control (JRC), 2(3), 209-211.
Pu, C., & Zhou, X. (2019). RescueMe: Smartphone-based self rescue system for disaster rescue. Paper presented at the 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC).
Rahayu, M., Widlan, M. N., & Bramantyo, H. A. (2022). Smart trash with web integrated volume monitoring and sorting system via MQTT protocol. E-JOINT (Electronica and Electrical Journal Of Innovation Technology), 3(1), 6-11.
Rajan, D. (2021). Automatic Railway Gate Control System Using Arduino Controller.
Reddy, M. G., Wei, T. J., Kumar, M. G. J., Poojitha, V., Goud, K. H., Ji, W., . . . Mokayef, M. (2023). Data Transmission by Li-Fi in Coal Mining.
Shapira, S., Aharonson-Daniel, L., & Bar-Dayan, Y. (2018). Anticipated behavioral response patterns to an earthquake: The role of personal and household characteristics, risk perception, previous experience and preparedness. International journal of disaster risk reduction, 31, 1-8.
Subashini, M., Sudarmani, R., Gobika, S., & Varshini, R. (2021). Development of Smart Flood Monitoring and Early Warning System using Weather Forecasting Data and Wireless Sensor Networks-A Review. Paper presented at the 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV).
Swastika, R., Hendriyati, P., & Cahyadi, D. A. (2021). THE PROTOTYPE AND DESIGN OF EARLY DETECTION OF GAS LEAKAGE BASED ON MICROCONTROLLER USING PERSONAL EXTREME PROGRAMMING METHOD. Jurnal TAM (Technology Acceptance Model), 12(2), 164-170.
Wald, D. J. (2020). Practical limitations of earthquake early warning. Earthquake Spectra, 36(3), 1412-1447.
Wijkman, A., & Timberlake, L. (2021). Natural disasters: acts of God or acts of man? : Routledge.
Zilberman, I., Ludwig, S., & Jossen, A. (2019). Cell-to-cell variation of calendar aging and reversible self-discharge in 18650 nickel-rich, silicon–graphite lithium-ion cells. Journal of Energy Storage, 26, 100900.
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