Development of Geovibesense for Position and Fall Detection for Total Station Instrument

Abstract

Total station instrument are very important in achieving accuracy and precision in measurement work, especially cadastral and engineering surveying. However, it is very susceptible to damage and large data errors due to systematic, random and human errors, especially due to carelessness in handling the device. To mitigate this risk, this research paper presents the development of a system called "Geovibesense," a semi-intelligent monitoring system based on Internet of Things (IoT) technology designed to detect vibrations, shocks, and falls in real time. This system basically integrates an accelerometer to measure acceleration across the X, Y and Z axes, a GPS module for precise location tracking and a Wi-Fi module (ESP8266/ESP32) processed by an Arduino microcontroller to communicate with cloud data storage. Once the sensor detects falling activity or strong vibrations exceeding the set target value, the system will wirelessly transmit the instrument status and record the data to the ThingSpeak IoT platform for visualization in the form of graphs for further analysis. The results of the drop experiment confirmed the system's ability to accurately distinguish between vibration status conditions, namely a stable condition producing acceleration values ​​below 10 m/s², while a condition where a drop occurs records a spike exceeding 15 m/s² (reaching 17.16 m/s²), triggering an automatic "FALL DETECTED" warning. This system innovation provides a low-cost and effective solution to improve the safety of all measuring equipment, most of which have relatively high prices, and ultimately reduce repair costs and ensure the accuracy and precision of data in field measurements.