Research On Campus Patrol UAVs

In recent days,there have been frequent danger events on campus.Bullying,fire,fights and fights in schools are often unscrupulous.At the same time the size of the institutions of higher learning in the country is growing rapidly under the background of increasing attention to education by the country,and more and more Many members of the community have mixed into the schoolyard and have extended their sins,greed,and desires to university students.Campus security incidents are often overlooked by most students.It is crucial to establish a patrol drone automatic patrol system to monitor the campus environment through drone flight and to ensure the safety of students and teachers.The paper takes embedded STM32 processor as the core and combines Arduino embedded controller to design a campus patrol unmanned aerial vehicle system to conduct autonomous full-scale monitoring of the campus environment.The system collects its own inertial sensors,integrates data,and then solves the attitude to maintain the stability of the flight.In the area of drone movement,autonomous navigation and movement are performed through the use of GPS sensors,and campus environments are monitored in real time during the movement.The campus patrol UAV system has strong flight stability,clear and simple structure,low cost,easy interactive control,excellent flight robustness,and reliable and stable real-time monitoring of the picture.The main work of the dissertation is to combine the UAV system with the campus environment by constructing a drone system with good stability and capable of vertical lifting,and carrying a camera system capable of real-time monitoring in the drone system.The UAV patrol system can be autonomously navigated by the UAV system,and the real-time monitoring of the campus environment is realized in the process of autonomous navigation,and the experiments are designed to demonstrate the UAV system designed in this paper.The functional implementation is accurate and reliable,and its programming can meet the system requirements.The paper uses the inertial component nine-axis sensor MPU6050 to collect the acceleration value,gyro value,and geomagnetic data of the drone during the flight,and the collected values are used for data fusion,and the quaternion is extracted and further calculated to obtain the flight.Euler angles,after its series PID algorithm,the outer ring setting position,the inner ring setting attitude,and then output PWM value control motor speed,to achieve a smooth flight,in order to ensure that campus patrol UAV in the process of campus patrol The flight system is stable and reliable.The paper proposes a real-time monitoring system for campus UAV based on autonomous navigation.By using GPS module,an autonomous navigation algorithm for UAV is constructed.The UAV moves according to a pre-designed GPS path during the flight.And to test whether the school channel deviation,and in the process of autonomous drone flight,the camera carried on the environment for real-time monitoring.The dissertation designs the system architecture and algorithm to further realize its monitoring function and carries out a series of tests.The test results show that the system is stable and reliable,the frame logic is clear and clear,and the UAV can monitor the campus during autonomous flight.The video and test results verify the realizability and robustness of the system.