| Lidar is an advanced laser remote sensing tool that uses atmospheric molecules and aerosol particles as detection targets,it can provide high-temporal resolution profile information of atmospheric parameters such as atmospheric temperature,water vapor,wind field and aerosol.Multi parameter detection lidar system is a multi-channel lidar system which uses multi wavelength technology,hyperspectral technology,Raman technology and other advanced spectral technologies.It can detect multi atmospheric parameters synchronously by detecting multiple spectral channels.Each channel of multi-channel lidar system has different echo spectrum and experimental information,which increases the difficulty of multi-channel lidar data file storage.At the same time,with the increase of the number of channels and the amount of collected data,the demand for real-time data storage efficiency is also greatly increased.Furthermore,the visual display of real-time data to monitor data quality and system status are required as well.Therefore,design a dedicated data storage and visualization software for the multi-channel lidar system has an important role in enhancing the practical application of the lidar system.Aiming at the needs of data storage,data retrieval and data visualization of multi-channel lidar system,the studies of the lidar data storage and visualization based on tree data structure are investigated.In this study,a tree data structure for the multi-channel lidar data is designed based on the four-dimensional data relationship of channel-time-range-intensity,which is to satisfy the data storage requirements,and has the characteristics of uniform structure,easy addressing and independent management.Based on the help of tree structure conversion,this study proposes a multi-channel lidar data row column hybrid storage method,which is combines the advantages of data structure serialization method and lidar data row storage and column storage method.In addition,the adaptive data storage file is designed to meet the real-time data storage and file storage performance requirements of multi-channel lidar system.Meanwhile,a data indexing method for the tree data structure of the multi-channel lidar is designed,which realizes the high efficiency data indexing.In addition,the functions of data storage method and data indexing method are designed from the software system level.The visualization software of the multi-channel lidar system is designed using the PXI series data acquisition equipment from NI company,which realizes the functionality of the presented data storage method and data indexing method,and has the functionality to monitor the data quality and the variation of atmospheric condition through real-time profile visualization and THI visualization.This software uses arithmetic average combined with exponential average for realtime preprocessing,which effectively improves the detection signal-to-noise ratio of the system.This software also uses continuous interpolation and multiple interpolation methods to calculate the color of the visualized data,which effectively improves the color transition effect and display details of the laser radar data thi map.The tested result of the designed software shows that the presented data storage method and data indexing method of the multi-channel lidar effectively improve data storage efficiency and data indexing efficiency.Compared with other methods,the storage space utilization rate is increased by more than 60%,and the indexing speed is increased by more than 70%.In addition,the visualization effect of the software in profile visualization mode and THI visualization mode meets the basic expectations of the multi-channel lidar data visualization. |
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