Method for measuring particle size and gradation of mixed sand based on auto-correlation algorithm
A measurement method and autocorrelation technology, applied in computing, image data processing, instruments, etc., can solve the problems of strict water quality requirements, inability to popularize and popularize, time-consuming and cumbersome, etc.
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Embodiment 1
[0049] figure 1 A set of measuring equipment capable of realizing the measuring method of the present invention is shown, and the measuring equipment is composed of image acquisition equipment and a computer. The image acquisition device includes a black flat panel 1 , a tripod 2 , a level 3 , a digital camera 4 , a size calibration object 5 and a glass plate 6 ; the digital camera 4 is connected to a computer 8 .
[0050] Such as figure 2 Shown, the present invention is a kind of measurement method based on the mixed sand particle size of autocorrelation algorithm and gradation, comprises the following steps,
[0051] (1) Select 5 groups of uniform sand with an average particle size of 1-10mm, obtain the correlation representative curves of the 5 groups of uniform sand in turn, and calculate the average particle size of each group of uniform sand; specifically include the following sub-steps:
[0052] (1.1) Spread the sand sample on the black plate 1, flatten it with a gla...
Embodiment 2
[0083] The inventive method is applied to 60 groups of mixed sands, and equally utilizes figure 1 Measuring equipment shown. Measurement procedure is identical with embodiment 1, obtains the mean particle diameter of these 60 groups of mixed sands after step 6, as Figure 8 As shown, the median particle size of these 60 groups of mixed sands is obtained after step 8, such as Figure 9 shown.
[0084] The average particle diameter measured by the inventive method is compared with the measurement result of the traditional sieving method, and the comparison results are as follows: Figure 8As shown, the vertical axis represents the average particle size measured by the present invention based on the autocorrelation algorithm, the horizontal axis represents the average particle size measured by the traditional sieving method, and each symbolic circle represents a group of target mixed sand measurements. The obtained average particle size results are close to the dotted line of ...
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