Big data rapid rendering method based on bidirectional data processing mechanism
A data processing and big data technology, applied in image data processing, electrical digital data processing, program control design, etc., to achieve the effect of small time difference, improve screening efficiency, and meet rendering requirements
Active Publication Date: 2021-02-23
TIANJIN AEROSPACE ZHONGWEI DATA SYST TECH CO LTD
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[0004] In view of this, the present invention aims to propose a method for fast rendering of large data based on a two-way data processing mechanism, so as to solve the pressure problem of large data loading on memory capacity, and solve the problem of sacrificing rendering time response in exchange for larger data loading The problem of volume, to achieve fast loading of large data at the same time, improve rendering efficiency
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[0026] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.
[0027] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention Creation and simplification of description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should no...
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The invention provides a big data rapid rendering method based on a bidirectional data processing mechanism. The method comprises the steps of monitoring the mouse operation in real time during parallel execution of rendering data generation and rendering processes, updating a rendering parameter set and a rendering data set in real time, and increasing the rendering speed while internal and external data interaction loading is performed according to a currently rendered parameter table; according to the current rendering hierarchy, the query index and the point cloud visibility of different hierarchies, screening the cache data of the data set by using an NLRU mechanism according to the node layer; storing the screened data into a bidirectional rendering data cache queue, and continuouslyreading a rendering parameter set and a rendering data set to be rendered at present from the bidirectional rendering data cache queue by a rendering thread. According to the bidirectional data mechanism created by the invention, the internal and external memory interaction efficiency of big data is improved, cache data in a memory is refreshed and eliminated in real time, the memory pressure isreduced, and the overall situation and details of point cloud data are reasonably and efficiently displayed in combination with a rendering parameter set.
Description
technical field [0001] The invention belongs to the technical field of laser point cloud data processing, and in particular relates to a method for fast rendering of big data based on a two-way data processing mechanism. Background technique [0002] At present, the application of laser radar in various industries has gradually matured, and the amount of laser point cloud data generated has increased sharply. Therefore, the subsequent processing and analysis of laser point cloud data puts forward higher requirements for the massive data loading and rendering of the platform. . The storage of spatial data is the basis for its effective management. Compared with two-dimensional data, the storage of three-dimensional irregular data is more complicated, and more factors need to be considered. The current mass of laser point cloud data ranges from more than 100 million points to tens of billions of points. The traditional memory-based data loading can no longer meet the requirem...
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IPC IPC(8): G06F9/54G06T15/00
CPCG06F9/544G06F9/546G06T15/00
Inventor 陈雪梅娄尚李小宁张皓琳王泓淼何晶孙冠楠
Owner TIANJIN AEROSPACE ZHONGWEI DATA SYST TECH CO LTD