Research And Development Of Remote Monitoring System For Multifunctional Snow Removal Vehicle Based On BP Neural Network To Optimize Ultrasonic Ranging

With the rapid development of China’s civil aviation industry,the General Administration of Civil Aviation of China has pointed out that the on-time rate of flights at large airports has become an important indicator of assessment.Among them,snow removal at airports in winter is a major challenge.According to the relevant provisions of the General Administration of Civil Aviation on snow removal,the airport has made specific requirements for the one-time,quickness,and safety of snow removal.At present,the problem of obstacle avoidance and management and scheduling of snow removal vehicles are particularly important.Aiming at these problems,a multi-functional snow removal vehicle remote condition monitoring system is designed to solve these problems.This article uses BD/GPS technology to achieve vehicle positioning,WiFi module to achieve wireless communication,and multi-sensors to monitor the status data of multifunctional snow removal vehicles.Among them,an improved BP neural network algorithm is used to optimize the ultrasonic ranging,and a research on the obstacle avoidance function of vehicles based on the BP neural network is carried out.The main contents of this article include:(1)The development status of remote monitoring of vehicles at home and abroad is introduced.The design of related system modes includes C/S mode,B/S mode,etc.,and related technologies,such as BD/GPS navigation and positioning technology,and wireless communication.Technology,IoT technology,etc.The application schemes of the existing vehicle remote condition monitoring system are studied,and the rationality and practical application of each technical scheme are analyzed.(2)Analyzed the problems and related requirements of the multifunctional snow removal vehicle,clarified the design goals of the multifunctional snow removal vehicle remote monitoring system,and formulated the overall scheme of the multifunctional snow removal vehicle remote monitoring system,including the remote monitoring of the multifunctional snow removal vehicle.The components of the system,the working principle of the system,and the specific functions of each part.It also explains the related technologies used in this solution.(3)Designed the hardware and software of the multifunctional snow removal vehicle remote monitoring system.For the hardware part,through extensive investigation and analysis,the controllers and sensors used in the scheme and the circuit design were clearly selected,for the development of the software part,the design of the communication function,the design of the data acquisition function,and the definition of the data package were detailed description of.(4)Aiming at the obstacle avoidance problem of multi-functional snow removal vehicles,the most suitable ultrasonic distance measment is selected through comparison of laser distance,microwave distance measment,and ultrasonic distance measment.The application comparison is made among the three ultrasonic ranging schemes.Finally,a time difference method ranging scheme suitable for the working environment of a multifunctional snow removal vehicle is adopted.The performance test of the ultrasonic sensor is designed,and the experimental data is analyzed and processed to obtain the performance evaluation of the sensor.The errors of the sensors are analyzed in principle,and the factors affecting the accuracy and stability of ranging are obtained.(5)An BP neural network algorithm is proposed to optimize ultrasonic ranging to reduce errors.By selecting experimental data as a training model for the samples,the accuracy of the data is optimized.Through comparison and analysis with experimental results,this paper uses genetic algorithms to further optimize the BP neural network,and compares the final data results together to obtain the most accurate and stable results.(6)Function realization and test of remote status monitoring system.The functions of the remote monitoring system are shown,including user login,connection establishment,information input,status monitoring,video monitoring,and vehicle positioning.And tested the remote monitoring system.