Self-adaptive acquisition and storage method for high-speed video data

Abstract

The invention discloses a self-adaptive acquisition and storage method for high-speed video data, which comprises a self-adaptive model of an acquisition frame rate and a windowing size of an acquisition image according to an acquisition frame frequency of an acquisition device under the condition of fixed acquisition time and fixed acquisition data flow aiming at the actual application requirement of high-speed video data acquisition. Calculating the windowing size of the collected image, and executing the collection operation; on the premise that the total buffer area is smaller than 50% of the memory capacity of the processor, the windowing size of an acquired image is used as the capacity of a single memory buffer area, the number of the memory buffer areas is calculated, and then high-speed video data are sequentially read and written into the memory buffer areas one by one in a circulating read-write mode; establishing a self-adaptive model of the transmission speed and the storage mode of the hard disk, calculating the storage speed of the storage device according to the size of the windowing, then judging whether the storage speed is greater than the storage speed corresponding to the cache region of the storage device, if so, storing the high-speed video data in the cache region of the hard disk, and then storing the high-speed video data in a hard disk medium; otherwise, directly storing the high-speed video data into a hard disk medium.

Description

technical field [0001] The invention relates to the technical field of video storage, in particular to an adaptive acquisition and storage method for high-speed video data. Background technique [0002] The high-speed video measurement system can obtain high-resolution images of hundreds of frames or thousands of frames in seconds, and has a wide range of applications in the field of industrial measurement. Experiments with high-resolution, high-frame-rate high-speed cameras inevitably generate massive amounts of data. The mismatch between the data collection and storage efficiency and the data transmission and storage speed of high resolution and high frame rate will affect the efficiency of high-speed collection and storage, resulting in incomplete collected data or loss of frames. Although a large-capacity cache can store more data in the cache when the hard disk is reading and writing to improve the access speed of the hard disk, it does not mean that the larger the cac...

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Problems solved by technology

[0004] However, the design of the storage solution based on NAND FLASH storage medium is complex and difficult to implement, and it is difficult to apply it in actual engineering experiments. The optimization of the acquisition and storage queue based on the core can indeed improve the acquisition and storage rate, but the mismatch between the two will affect the high-speed acquisition. The efficiency of storage causes the collected data to be incomplete or lose frames, making it difficult to realize real-time lossless storage of massive data

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