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Embedded system-oriented flotation froth flow velocity extraction method

An embedded system and extraction method technology, applied in the field of froth flotation automation, can solve problems such as increasing the cost of manual observation, inaccuracy, and difficulty in archiving

Pending Publication Date: 2022-06-28
CENT SOUTH UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, it mainly relies on the operator to judge by visually observing the flotation foam, which is subjectively inaccurate and not easy to archive and record
However, the environment of the flotation work site is relatively harsh, which increases the cost of manual observation

Method used

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  • Embedded system-oriented flotation froth flow velocity extraction method
  • Embedded system-oriented flotation froth flow velocity extraction method
  • Embedded system-oriented flotation froth flow velocity extraction method

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Embodiment 1

[0069] see figure 1 , the present embodiment discloses a method for extracting the flow rate of flotation froth for an embedded system, including:

[0070] Acquire flotation froth images for a period of time, perform image preprocessing, and obtain image sets with prominent froth areas;

[0071] The image set is down-sampled, the size of the macroblock is adjusted according to the result of the last flow velocity extraction, and the macroblock matching algorithm based on the inverse discrete Fourier transform is used to initially obtain the foam flow velocity;

[0072] After Kalman filtering, the extraction flow rate is obtained by sliding window technique.

[0073] Specifically, the foam image of a tin ore processing plant for a certain period of time is used as a case for analysis. First of all, at the industrial site of a tin ore dressing plant, a camera is placed above the flotation cell to capture the image of the foam layer on the surface of the flotation cell. The for...

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Abstract

The invention relates to the field of froth flotation automation, and discloses a flotation froth flow velocity extraction method for an embedded system. According to the invention, a fast macro block matching algorithm adaptive to the size of a macro block is adopted to preliminarily obtain the foam flow velocity, and a flow velocity extraction result is obtained through Kalman filtering and a sliding window technology. Through a disassembly matching algorithm, main factors consuming algorithm time are analyzed, and modes of downsampling, macro block size self-adaption, inverse discrete Fourier transform and the like are adopted, so that the algorithm speed is increased, and the real-time requirement of an embedded system is met. Kalman filtering and a sliding window technology are adopted, historical data are combined, the large fluctuation of the instantaneous flow velocity of foam caused by unstable ore feeding and other factors is overcome, and the flow velocity extraction result is made to better conform to the flow velocity condition observed by human eyes.

Description

technical field [0001] The invention relates to the field of froth flotation automation, in particular to a method for extracting the flow rate of flotation froth for an embedded system. Background technique [0002] The froth flotation has a history of more than 100 years, and the technology is constantly improving. The main problem currently faced is that the froth flotation process has a long process flow, complex process, and many interference factors, which make it difficult to realize the intelligent optimal control of flotation. The fact that the state information of the flotation process cannot be accurately obtained is also an important factor restricting the development of the automation of the flotation process. Therefore, workers usually observe the color, size, texture, and flow rate of the flotation foam with the naked eye, and then judge the current flotation working conditions based on experience, and adjust the actuator to control the flotation process. Ho...

Claims

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Application Information

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IPC IPC(8): G06T7/223G06T7/73G06V10/75G06V10/62G06K9/62G06T5/00G06T5/40G06T5/50G06T3/40
CPCG06T7/223G06T7/74G06T5/40G06T5/50G06T3/4084G06T2207/10024G06T2207/10016G06T2207/20056G06T2207/20208G06T2207/30241G06F18/22G06T5/90
Inventor 阳春华杨洋王晓丽卢明桂卫华
Owner CENT SOUTH UNIV
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