DEVELOPMENT OF A DIGITAL TWIN FOR THE MONITORING OF SMART CITIES USING OPEN-SOURCE SOFTWARE

Cities are consistently motivated to come up with technology-driven solutions that aim to reduce the negative impacts of rapid urbanization. This paper explores open-source software as a platform in visualizing and developing a digital twin, which aids in mitigating the problem by running simulations and generating potential improvements through generated insights. The four essential components examined to develop the methodology are: (1) Visualization of Digital Model; (2) Identification of User Interface and Data Management Requirements; (3) User Interface Set-up and Configuration; and (4) Analysis and Simulations. Different tools for visualizing the city such as Unity3D, QGIS2threejs, and TerriaMap were explored and compared. Though Unity3D and QGIS2threejs can visualize 3D city models, TerriaMap was favored for its capability to visualize large areas in 3D and to create customizable user interfaces. User interface components were identified as well as handling and processing geospatial datasets. For the analysis and simulations, the Land Surface Temperature hotspot detection was performed and integrated into the system to demonstrate its potential to include other simulations in the future.

Performance of fire hotspot detection system with sensor based on angle width and voltage difference monitoring for forest security

Fires that occur naturally in the forest can cause uncontrolled fires due to the rapid spread of heat. This research is focused on the observation land in the Puncak Besar area of Pacet in Pengalengan District, Indonesia, where the area of land burned is approximately 100 hectares. The early warning system that was built in this study uses a range widening method. This method consists of 1 sector that functions to detect heat and initial gas that occurs in the remote area. The initial area of the hotspot is usually not detected by the forest operator. After testing the sensor performance on this device, the fire sensor can detect hotspots with an average range of 440 cm. The width of the detection angle using a shield can reach a range of - 45° to 45° and the wide angle of detection of a fire without a shield can reach a range of -90° to 90°. While the communication system on this device uses the GPRS/GSM module to send data to the Android application as a monitoring system. By using this early forest fire detection system, forest operators can monitor the starting point of a fire in remote areas around the forest and minimize the spread of fire points as one solution to overcome the wider spread of forest fires.