Motion Monitoring System Based on IoT

Susilawati Susilawati, Zulfikar Sembiring, Muhathir Muhathir

Abstract


Every object is always moving, and movement of an object can occur at any time. The value of the motion which produced from an object can be very small to very large, and the impact of the movement can be at risk until very risky. For this reason, the movement of objects at risk must be observed whenever changes and observations for data retrieval can be done remotely. The purpose of this research to design an Internet of Things (IoT) devices that can observe and detect changes in the motion of an object.  The device is designed to be small, around 44 x 48 millimeters with very low power consumption. The design phase begins with recording motion data using the MPU6050 accelerometer sensor as a motion detector, arduino nano as a control device, WiFi ESP8266 as a communication medium for sending data from a receiver apllication motion data with UDP protocol. The test results show that this device is very sensitive to detect changes in the motion and angle of X, Y and Z of an object.

Keywords


Motion, Internet of Things, IoT, ESP8266, MPU-6050

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References


AI-Thinker Team (2015) ESP-12E WiFi Module, Version 1.0, Shenzhen: Shenzhen Anxinke Tech.

C. Laksana, D. A. Prasetya, dan B. Baidowi, 2017, Sistem Keamanan Ksatrian dengan Sensor PIR Menggunakan Metode Cluster Based. Prosiding SNATIF, 259-266

Bell, C. (2016). MySQL for the Internet of Things. Lake Zurich: Apress.

Chollet, F. & Liu, H., 2016. A (not so) short Introduction to Micro Electromechanical Systems. version 5.4. Diunduh di http://memscyclopedia.org/introMEMS.html tanggal 29 Desember 2019.

Fröjd, P. & Ulriksen, P., (2018). Detecting damage events in concrete using diffuse ultrasound structural health monitoring during strong environmental variations. Structural Health Monitoring, 17(2), pp. 410-419.

Gulizzi, V., Rizzo, P., Milazzo, A. & Ribolla, E. L. M., (2015). An integrated structural health monitoring system based on electromechanical impedance and guided ultrasonic waves. Journal of Civil Structural Health Monitoring, 5(3), pp. 337-352.

InvenSense Inc, (2013). MPU-600 and MPU-6050 Product Specification, Revision 3.4, Sunnyvale: InvenSense.

InvenSense Inc, (2013). MPU-600 and MPU-6050 Register Map and Descriptions, Revision 4.2, Sunnyvale: InvenSense.

Javed, A. (2016). Building Arduino Projects for the Internet of Things. Lake Zurich: Apress.

Schwartz, M. (2016). Internet of Things with ESP8266. Birmingham: Packt Publishing.

Xi, R. Jiang, W., Meng, X., Chen, H., Chen, Q. (2018). Bridge monitoring using BDS-RTK and GPS-RTK techniques. Measurement, Issue 120, pp. 128-139.




DOI (PDF): https://doi.org/10.31289/jite.v3i2.3326.g2441

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