Research On Data Analysis And Management System Of Multi-sensor Cooperative Detection

Due to various factors such as season,terrain,weather conditions,etc.,a single sensor in a complex environment can only provide partial or inaccurate information,Therefore,sensors such as acoustic,seismic,magnetic,visible,and infrared sensors need to be deployed to detect all kinds of targets in complex environments such as mountains and jungles.In order to improve the efficiency of multi-sensor collaborative detection and target recognition rate,it is necessary to carry out in-depth analysis of the collected target multi-source data,and construct a multi-sensor collaborative detection data management system to realize effective configuration of sensors and management of data analysis results.In response to the above requirements,the main research work of this thesis is as follows:Firstly,analyze the different types of sensor properties and date,the multi-sensor detection layout scheme is given for the advantages and disadvantages of each sensor under different geographical locations and detection environments.Several methods for multi-sensor collaborative detection are described.In addition,the analysis of image data collected by visible light and infrared sensors is highlighted.Secondly,the establishment of multi-sensor collaborative detection network is introduced.The multi-sensor multi-target collaborative detection method based on dynamic alliance is deeply studied.The multi-sensor collaborative detection process of dynamic alliance is analyzed and simulated.The results show that the method can be used.The behavior of multiple sensors and multiple dynamic alliances is consistent,which satisfies the application requirements of multiple sensors collaboratively detecting multiple targets.Then,in order to improve the accuracy of target detection,based on the comparison of traditional visible light and infrared image data fusion analysis methods,this thesis proposes a fusion method based on YUV and discrete wavelet transform.The simulation results show that the proposed method achieves better fusion and higher image quality.Finally,a multi-sensor collaborative detection management system based on MVC architecture is designed.The system uses the idea of MVC architecture to design a layered system framework,which realizes the coordinated configuration and management of multiple sensors,and fully utilizes the multi-sensor detection function.And display the target data analysis results collected by the sensor to the front-end page in a visual form.