| Abstract [eng] |
The aim of this master's thesis is to develop smart parking system and perform and determine a research of distance estimation and positioning based on Bluetooth low energy technology. The system consists of interoperable software and hardware components - a smart application for drivers, a vehicle detection sensor and a smart tag. The software is developed with Java and C languages using Java Spring, Android Studio frameworks and Arduino technologies. The hardware consists of an optional car identification sensor, a microprocessor and Bluetooth and LoRaWAN communication modules. This system differs from most similar products on the market in its functionality, which allows you to determine the exact parking time of the car. The project is able to authenticate the user, determine his position, works in real time. A study of Bluetooth Low Energy devices, distance estimation and positioning was performed during the work. Three different search methods for distance estimation, determination and multilateral estimation have been investigated and tested, and algorithms have been developed to evaluate the reliability of the data. However, the biggest breakthrough is the accuracy obtained by applying multi-directional and blocked signal prevention, which makes it possible to ignore the bodies in the environment. The developed system can be used: for solving the problems of car surplus, for the development of the Internet of Things network, for the search of objects and for the application of communication signal strength methodologies - for location determination. |
