Flotation flow adjusting method and device of flotation equipment, processor and electronic equipment

Abstract

The invention discloses a flotation flow adjusting method and device of flotation equipment, a processor and electronic equipment. The method comprises the steps that an initial feeding flow signal of coal slurry is obtained, and the initial feeding flow signal is used for at least representing the speed of the coal slurry entering flotation equipment; the initial feeding flow signal is subjected to noise reduction, and a target feeding flow signal is obtained; based on the target feeding flow signal, the current flotation flow of the flotation equipment is adjusted to the target flotation flow, the current flotation flow is used for representing the current speed of a flotation reagent entering the flotation equipment, the flotation reagent is used for separating coal from the coal slurry, and the target flotation flow corresponds to the target feeding flow signal. The technical problem of low efficiency of floating carbon selection is solved.

Description

Technical Field

[0001] The present invention relates to the field of coal flotation, and in particular to a flotation flow rate adjustment method, device, processor and electronic equipment of a flotation device. Background Art

[0002] In the field of coal flotation, most ore dressing plants mainly use flotation to separate coal. The basic principle is that after the flotation agent acts, the coal and bubbles are attached together by using the surface chemical properties and physical forces, and then the coal rises to the liquid surface and forms a foam layer through the rise of bubbles, thereby achieving the purpose of floating carbon separation. However, if the flow rate of the flotation agent is too fast or too slow, the flotation carbon separation process will be affected, resulting in the technical problem of low efficiency of flotation carbon separation.

[0003] With respect to the technical problem of low efficiency of the above-mentioned floating carbon separation, no effective solution has been proposed so far. Summary of the invention

[0004] The embodiments of the present invention provide a flotation flow rate adjustment method, device, processor and electronic device of a flotation device, so as to at least solve the technical problem of low efficiency of floating carbon separation.

[0005] According to one aspect of an embodiment of the present invention, a flotation flow adjustment method for a flotation device is provided, the method comprising: obtaining an initial feed flow signal of coal slurry, wherein the initial feed flow signal is used to at least indicate the speed at which the coal slurry enters the flotation device; performing noise reduction on the initial feed flow signal to obtain a target feed flow signal; based on the target feed flow signal, adjusting the current flotation flow of the flotation device to the target flotation flow, wherein the current flotation flow is used to indicate the current speed at which a flotation agent enters the flotation device, the flotation agent is used to separate coal from the coal slurry, and the target flotation flow corresponds to the target feed flow signal.

[0006] Optionally, the initial feed flow signal is denoised to obtain a target feed flow signal, including: decomposing the initial feed flow signal to obtain noise data in the initial feed flow data, wherein the initial feed flow data corresponds to the initial feed flow signal; and determining the target feed flow signal based on the noise data.

[0007] Optionally, based on the noise data, a target feed flow signal is determined, including: in the initial feed flow data, adjusting the noise data to the target noise data to obtain the target feed flow data; based on the target feed flow data, determining the target feed flow signal.

[0008] Optionally, based on the target feed flow data, determining the target feed flow signal includes: performing an inverse transformation on the target feed flow data to obtain the target feed flow signal.

[0009] Optionally, based on the target feed flow signal, adjusting the current flotation flow of the flotation device to the target flotation flow includes: searching for the target flotation flow corresponding to the target feed flow signal from a target database, wherein the target database includes a mapping relationship between different feed flow signals and different flotation flows; and adjusting the current flotation flow to the target flotation flow.

[0010] Optionally, searching a target flotation flow corresponding to a target feed flow signal from a target database includes: in response to different feed flow signals including the target feed flow signal, searching a target flotation flow whose target feed flow signal satisfies a mapping relationship from the target database.

[0011] According to one aspect of an embodiment of the present invention, a flotation flow adjustment device of a flotation equipment is provided, and the device may include: an acquisition unit, used to acquire an initial feed flow signal of coal slurry, wherein the initial feed flow signal is used to at least indicate the speed at which the coal slurry enters the flotation equipment; a noise reduction unit, used to reduce the noise of the initial feed flow signal to obtain a target feed flow signal; an adjustment unit, used to adjust the current flotation flow of the flotation equipment to a target flotation flow based on the target feed flow signal, wherein the current flotation flow is used to indicate the current speed at which a flotation agent enters the flotation equipment, the flotation agent is used to separate coal from the coal slurry, and the target flotation flow corresponds to the target feed flow signal.

[0012] According to another aspect of the embodiment of the present invention, a processor is provided, which is used to run a program, wherein when the program is run by the processor, the flotation flow rate adjustment method of the flotation device in the embodiment of the present invention is executed.

[0013] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the flotation flow adjustment method of the flotation device in each embodiment of the present invention is executed.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the flotation flow rate adjustment method of the flotation device in the present invention.

[0015] According to another aspect of the embodiments of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the flotation flow rate adjustment method of the flotation device in the embodiments of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the flotation flow adjustment method of the flotation device in the embodiment of the present invention is implemented.

[0017] According to another aspect of the embodiments of the present invention, the embodiments of the present application further provide a computer program, and when the computer program is executed by a processor, the flotation flow rate adjustment method of the flotation device in the above-mentioned embodiment of the present invention is implemented.

[0018] In the embodiment of the present invention, when adjusting the flotation flow rate of the flotation device, the initial feed flow rate signal of the coal slurry can be obtained, that is, the speed at which the coal slurry enters the flotation device can be obtained. The obtained initial feed flow rate signal is subjected to noise reduction to obtain a target feed flow rate signal, and according to the obtained target feed flow rate signal, the current flotation flow rate of the flotation device can be adjusted to the target flotation flow rate, thereby achieving the purpose of avoiding the flotation carbon selection process being affected by the flotation flow rate of the flotation reagent being too fast or too slow, thereby solving the technical problem of low efficiency of flotation carbon selection, and further achieving the technical effect of improving the efficiency of flotation carbon selection. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a flotation flow rate adjustment method of a flotation device according to an embodiment of the present invention;

[0021] Figure 2 is a schematic diagram of an initial feed flow rate signal including noise according to an embodiment of the present invention;

[0022] Figure 3 is a schematic diagram of an effect of improving a threshold parameter according to an embodiment of the present invention;

[0023] FIG4( a) is a schematic diagram of an original signal according to an embodiment of the present invention;

[0024] FIG4( b ) is a schematic diagram of a noise-added signal according to an embodiment of the present invention;

[0025] FIG5( a ) is a schematic diagram of a denoising effect of a Doppler signal based on a sqtwolog threshold + a hard threshold according to the related art;

[0026] FIG5( b ) is a schematic diagram of a denoising effect of a Doppler signal based on a sqtwolog threshold + a soft threshold according to the related art;

[0027] FIG6( a ) is a schematic diagram of a denoising effect of a Doppler signal based on a rigid threshold + a hard threshold according to the related art;

[0028] FIG6( b ) is a schematic diagram of a denoising effect of a Doppler signal based on a rigid threshold + a soft threshold according to the related art;

[0029] FIG. 7( a ) is a schematic diagram of a denoising effect of a Doppler signal based on a heursure threshold + a hard threshold according to the related art;

[0030] FIG7( b ) is a schematic diagram of a denoising effect of a Doppler signal based on a heursure threshold + a soft threshold according to the related art;

[0031] FIG8( a ) is a schematic diagram of a denoising effect of a Doppler signal based on a minimaxi threshold + a hard threshold according to the related art;

[0032] FIG8( b ) is a schematic diagram of a denoising effect of a Doppler signal based on a minimaxi threshold + a soft threshold according to the related art;

[0033] Fig. 9 is a schematic diagram of a denoising effect of a Doppler signal based on an improved threshold according to an embodiment of the present invention;

[0034] Fig.10 It is a schematic diagram of a flotation feed flow rate signal collected in a startup state according to an embodiment of the present invention;

[0035] FIG11( a ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a sqtwolog threshold + a hard threshold according to the related art;

[0036] FIG11( b ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a sqtwolog threshold + a soft threshold according to the related art;

[0037] FIG12( a ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a rigid threshold + a hard threshold according to the related art;

[0038] FIG12( b ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a rigid threshold + a soft threshold according to the related art;

[0039] FIG. 13( a ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a heursure threshold + a hard threshold according to the related art;

[0040] FIG13( b ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a heursure threshold + a soft threshold according to the related art;

[0041] FIG. 14( a ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a minimaxi threshold + a hard threshold according to the related art;

[0042] FIG14( b ) is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on a minimaxi threshold + a soft threshold according to the related art;

[0043] Fig.15 is a schematic diagram of a denoising effect of a flotation feed flow rate signal based on an improved threshold according to an embodiment of the present invention;

[0044] Fig.16 Schematic diagram of a flotation flow rate adjustment device for a flotation device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0046] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0047] According to an embodiment of the present invention, a flotation flow adjustment method for a flotation device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0048] Figure 1 : is a flow chart of a flotation flow rate adjustment method of a flotation device according to an embodiment of the present invention. The method may include the following steps:

[0049] Step S101, obtaining an initial feed flow signal of coal slurry.

[0050] In the technical solution provided in the above step S101 of the present invention, the above initial feed flow rate signal can be used to at least indicate the speed at which the coal slurry enters the flotation device. That is, the above initial feed flow rate signal can be used to indicate the feed rate of the coal slurry in the flotation device, and the feed rate can be generally measured in tons / hour or cubic meters / hour, which is only used as an example and is not specifically limited.

[0051] In this embodiment, the flotation device may include: a controller, a flotation tank, a feed pipe, a feed valve, and a flow monitoring component, etc. The controller may be used to execute the flotation flow adjustment method of the flotation device in the present invention, the flotation tank may be used for coal flotation, the feed pipe may be connected to the flotation tank so that the material flows from the feed pipe into the flotation tank, the feed valve may be arranged on the feed pipe, the feed valve may be used to adjust the flotation flow of the feed pipe, the flow monitoring component may also be arranged on the feed pipe, the flow monitoring component may be used to obtain the feed flow signal in the feed pipe, and the feed valve and the flow monitoring component may be electrically connected to the controller.

[0052] It should be noted that the above-mentioned material may be coal slurry, which is a mixture of coal and other substances other than coal. Among them, other substances other than coal may include at least one of the following substances: soil, bricks, stones, branches and water, etc., which are only used as examples and are not specifically limited.

[0053] In this embodiment, the initial feed flow rate signal of the coal slurry is obtained. Optionally, this embodiment uses a flow monitoring component arranged on the above-mentioned feed pipe to monitor the speed at which the coal slurry enters the feed pipe, and the initial feed flow rate signal of the coal slurry can be obtained. The initial feed flow rate signal may include a noise signal and a target feed flow rate signal.

[0054] Step S102, reducing noise on the initial feed flow rate signal to obtain a target feed flow rate signal.

[0055] In the technical solution provided in the above step S102 of the present invention, the above target feed flow rate signal may be an initial feed flow rate signal after the noise signal is removed.

[0056] In this embodiment, after obtaining the initial feed flow rate signal of the coal slurry, the initial feed flow rate signal is subjected to noise reduction to obtain a target feed flow rate signal. Optionally, this embodiment performs noise reduction on the initial feed flow rate signal based on the initial feed flow rate signal obtained, that is, the noise signal in the initial feed flow rate signal is deleted to obtain the target feed flow rate signal, that is, the initial feed flow rate signal after the noise signal is removed is obtained.

[0057] Step S103, based on the target feed flow rate signal, adjusting the current flotation flow rate of the flotation device to the target flotation flow rate.

[0058] In the technical solution provided in step S103 of the present invention, the current flotation flow rate can be used to indicate the current speed at which the flotation reagent enters the flotation device. That is, the current flotation flow rate can be used to indicate the flow rate of the flotation reagent in the flotation device, and the flow rate can be generally measured in cubic meters per hour, which is only used as an example and is not specifically limited.

[0059] In this embodiment, the above-mentioned flotation reagent can be used to separate coal from coal slurry.

[0060] In this embodiment, the target flotation flow rate may correspond to a target feed flow rate signal.

[0061] In this embodiment, after the initial feed flow rate signal is de-noised to obtain the target feed flow rate signal, the current flotation flow rate of the flotation device is adjusted to the target flotation flow rate based on the target feed flow rate signal. Optionally, this embodiment can determine the target flotation flow rate corresponding to the target feed flow rate signal based on the target feed flow rate signal, and then adjust the current flotation flow rate of the flotation device to the target flotation flow rate corresponding to the target feed flow rate signal.

[0062] In the above steps S101 to S103 of the present application, when adjusting the flotation flow rate of the flotation device, the initial feed flow rate signal of the coal slurry can be obtained, that is, the speed at which the coal slurry enters the flotation device can be obtained. The above initial feed flow rate signal obtained is subjected to noise reduction to obtain a target feed flow rate signal, and according to the obtained target feed flow rate signal, the current flotation flow rate of the flotation device can be adjusted to the target flotation flow rate, thereby achieving the purpose of avoiding the flotation carbon selection process being affected by the flotation flow rate of the flotation reagent being too fast or too slow, thereby solving the technical problem of low efficiency of flotation carbon selection, and further achieving the technical effect of improving the efficiency of flotation carbon selection.

[0063] The above method of this embodiment is further introduced below.

[0064] As an optional implementation method, step S102, denoising the initial feed flow signal to obtain a target feed flow signal, includes: decomposing the initial feed flow signal to obtain noise data in the initial feed flow data; and determining the target feed flow signal based on the noise data.

[0065] In this embodiment, the initial feed flow rate data may correspond to the initial feed flow rate signal.

[0066] In this embodiment, after obtaining the initial feed flow rate signal of the coal slurry, the initial feed flow rate signal is decomposed to obtain noise data in the initial feed flow rate data. Optionally, this embodiment uses wavelet transform to decompose the initial feed flow rate signal based on the initial feed flow rate signal, so as to obtain noise data in the initial feed flow rate data.

[0067] In this embodiment, after the initial feed flow rate signal is decomposed to obtain the noise data in the initial feed flow rate data, the target feed flow rate signal is determined based on the noise data. Optionally, this embodiment deletes the noise data from the initial feed flow rate data on the basis of obtaining the noise data in the initial feed flow rate data, and the target feed flow rate data can be obtained. According to the obtained target feed flow rate data, the target feed flow rate signal can be determined.

[0068] As an optional implementation method, a target feed flow signal is determined based on noise data, including: in the initial feed flow data, the noise data is adjusted to the target noise data to obtain the target feed flow data; based on the target feed flow data, the target feed flow signal is determined.

[0069] In this embodiment, the target noise data may be 0 or a value close to 0, which is merely an example and not specifically limited.

[0070] In this embodiment, after decomposing the initial feed flow rate signal to obtain the noise data in the initial feed flow rate data, the noise data is adjusted to the target noise data in the initial feed flow rate data to obtain the target feed flow rate data. Optionally, this embodiment adjusts the obtained noise data to the target noise data based on the noise data in the initial feed flow rate data. The adjustment method of the above noise data is equivalent to deleting the noise data from the initial feed flow rate data, thereby obtaining the target feed flow rate data.

[0071] Optionally, in the initial feed flow data, the noise data is adjusted to the target noise data to obtain the target feed flow data, which can be achieved by formula (1):

[0072]

[0073] Among them, δ can be used to represent the estimation coefficient, w can be used to represent the wavelet coefficient after the initial feed flow rate signal is decomposed, λ can be used to represent the threshold, a and b can be used to represent hyperparameters, and e can be used to represent a natural constant.

[0074] In this embodiment, in the initial feed flow data, the noise data is adjusted to the target noise data, and after the target feed flow data is obtained, the target feed flow signal is determined based on the target feed flow data. Optionally, this embodiment converts the obtained target feed flow data into a target feed flow signal based on the obtained target feed flow data.

[0075] As an optional implementation manner, based on the target feed flow data, determining the target feed flow signal includes: performing an inverse transformation on the target feed flow data to obtain the target feed flow signal.

[0076] In this embodiment, the inverse transformation may be a wavelet inverse transformation.

[0077] In this embodiment, in the initial feed flow data, the noise data is adjusted to the target noise data, and after the target feed flow data is obtained, the target feed flow data is inversely transformed to obtain a target feed flow signal. Optionally, on the basis of obtaining the target feed flow data, this embodiment performs a wavelet inverse transformation on the obtained target feed flow data to obtain a target feed flow signal.

[0078] As an optional implementation manner, step S103, based on the target feed flow signal, adjusts the current flotation flow of the flotation device to the target flotation flow, including: searching the target flotation flow corresponding to the target feed flow signal from the target database; adjusting the current flotation flow to the target flotation flow.

[0079] In this embodiment, the target database may include mapping relationships between different feed flow signals and different flotation flow rates.

[0080] In this embodiment, after the initial feed flow rate signal is de-noised to obtain the target feed flow rate signal, the target flotation flow rate corresponding to the target feed flow rate signal is searched from the target database. Optionally, based on obtaining the target feed flow rate signal, this embodiment can search for the target flotation flow rate corresponding to the target feed flow rate signal from the target database according to the mapping relationship between the different feed flow rate signals and the different flotation flow rates.

[0081] In this embodiment, after searching the target flotation flow corresponding to the target feed flow signal from the target database, the current flotation flow is adjusted to the target flotation flow. Optionally, this embodiment adjusts the current flotation flow of the flotation device to the target flotation flow corresponding to the target feed flow signal based on searching the target flotation flow corresponding to the target feed flow signal.

[0082] As an optional implementation method, searching for a target flotation flow corresponding to a target feed flow signal from a target database includes: in response to different feed flow signals including a target feed flow signal, searching for a target flotation flow whose target feed flow signal satisfies a mapping relationship from a target database.

[0083] In this embodiment, after the initial feed flow rate signal is de-noised to obtain the target feed flow rate signal, in response to the different feed flow rate signals including the target feed flow rate signal, the target flotation flow rate for which the target feed flow rate signal satisfies the mapping relationship is searched from the target database. Optionally, on the basis of obtaining the target feed flow rate signal, this embodiment determines the relationship between the different feed flow rate signals and the target feed flow rate signal. If it is determined that the different feed flow rate signals include the target feed flow rate signal, the target flotation flow rate for which the above target feed flow rate signal satisfies the mapping relationship can be searched from the target database.

[0084] In the embodiment of the present invention, when adjusting the flotation flow rate of the flotation device, the initial feed flow rate signal of the coal slurry can be obtained, that is, the speed at which the coal slurry enters the flotation device can be obtained. The obtained initial feed flow rate signal is subjected to noise reduction to obtain a target feed flow rate signal, and according to the obtained target feed flow rate signal, the current flotation flow rate of the flotation device can be adjusted to the target flotation flow rate, thereby achieving the purpose of avoiding the flotation carbon selection process being affected by the flotation flow rate of the flotation reagent being too fast or too slow, thereby solving the technical problem of low efficiency of flotation carbon selection, and further achieving the technical effect of improving the efficiency of flotation carbon selection.

[0085] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0086] In the field of coal flotation, most ore dressing plants mainly use flotation to separate coal. The basic principle is that after the flotation agent acts, the coal and bubbles are attached together by using the surface chemical properties and physical forces, and then the coal rises to the liquid surface and forms a foam layer through the rise of bubbles, thereby achieving the purpose of floating carbon separation. However, if the flow rate of the flotation agent is too fast or too slow, the flotation carbon separation process will be affected, resulting in the technical problem of low efficiency of flotation carbon separation.

[0087] In order to solve the above technical problems, the embodiment of the present invention proposes a flotation flow adjustment method for a flotation device. When adjusting the flotation flow of the flotation device, the initial feed flow signal of the coal slurry can be obtained, that is, the speed at which the coal slurry enters the flotation device can be obtained. The above-mentioned initial feed flow signal obtained is subjected to noise reduction to obtain a target feed flow signal, and according to the obtained target feed flow signal, the current flotation flow of the flotation device can be adjusted to the target flotation flow, thereby achieving the purpose of avoiding the flotation carbon selection process being affected by the flotation flow of the flotation reagent being too fast or too slow, thereby solving the technical problem of low efficiency of flotation carbon selection, and further achieving the technical effect of improving the efficiency of flotation carbon selection.

[0088] In this embodiment, the flotation flow rate adjustment method of the flotation device can be implemented by performing the following steps:

[0089] Step S1, obtaining an initial feed flow signal of coal slurry.

[0090] In the technical solution provided in the above step S1 of the present invention, the flow rate monitoring component arranged on the above feed pipe is used to monitor the speed at which the coal slurry enters the feed pipe, so as to obtain the initial feed flow rate signal of the coal slurry.

[0091] In this embodiment, the initial feed flow rate signal including noise can be expressed as Figure 2 As shown, Figure 2 is a schematic diagram of an initial feed flow signal including noise according to an embodiment of the present invention, the flotation flow in the interval of 0 to 1000 sampling points is greater than the flotation flow in the interval of 1000 to 4000 sampling points, the flotation flow in the interval of 4000 to 5500 sampling points is greater than the flotation flow in the interval of 5500 to 8500 sampling points, and the flotation flow in the interval of 8500 to 9800 sampling points is greater than the flotation flow in the interval of 9800 to 10000 sampling points.

[0092] After the initial feed flow rate signal of the coal slurry is obtained, the process proceeds to step S2 to perform noise reduction processing on the initial feed flow rate signal.

[0093] In the technical solution provided in the above step S2 of the present invention, the initial feed flow signal is subjected to noise reduction processing by the flotation feed flow noise reduction method based on the improved wavelet threshold function, thereby achieving the purpose of reducing the signal-to-noise ratio of the initial feed flow signal.

[0094] In this embodiment, step S2 may include the following steps:

[0095] Step S21, using wavelet transform to decompose the initial feed flow signal to obtain wavelet coefficients.

[0096] In the technical solution provided in the above step S21 of the present invention, the initial feed flow rate signal can be decomposed into high-frequency components and low-frequency components by using wavelet transform, wherein the high-frequency components can include noise data, and the low-frequency components can include the main body data of the initial feed flow rate signal.

[0097] After the initial feed flow rate signal is decomposed by using wavelet transform to obtain wavelet coefficients, the process proceeds to step S22 to perform threshold processing on the wavelet coefficients by using an improved wavelet threshold function.

[0098] In the technical solution provided in the above step S22 of the present invention, the above threshold processing is to set the smaller coefficients (usually representing noise data) in the wavelet coefficients to zero or a value close to zero, and only retain the larger coefficients (usually representing the main data of the initial feed flow rate signal) in the wavelet coefficients. The essence of wavelet threshold denoising is to remove noise by setting an appropriate threshold.

[0099] In the related art, the traditional wavelet threshold function can be used to process wavelet coefficients above the threshold, or to process wavelet coefficients below the threshold. The traditional wavelet threshold function can include: a hard threshold function and a soft threshold function. The hard threshold function can be expressed by formula (2), and the soft threshold function can be expressed by formula (3):

[0100]

[0101] Among them, the soft threshold function, when applied to the wavelet coefficients, can have a continuity feature, aiming to preserve the boundary details and local characteristics of the original signal to the greatest extent. However, as the wavelet coefficients increase, the reconstructed signal becomes relatively smooth, and the boundary details may become blurred or disappear, which can lead to the effective signal being mistakenly identified as noise and removed, resulting in the loss of some useful information in the reconstructed signal.

[0102] In contrast, the hard threshold function can have discontinuity characteristics when applied to the wavelet coefficients. Jumps occur at the threshold point, which may cause glitches and spikes in the denoised signal, signal instability, and poor smoothness. In addition, the hard threshold function may also cause the appearance of pseudo-Gibbs phenomenon.

[0103] Furthermore, in order to solve the technical problem of low efficiency of floating carbon selection, the adjustment parameters in formula (1) are improved, and the threshold processing of wavelet coefficients can be completed using the improved wavelet threshold function. Among them, the adjustment parameter a in formula (1) can change the shape and slope of the threshold function to adapt to the distribution characteristics of signals and noise in different data systems. The adjustment parameter b in formula (1) can control the transition degree of the threshold function between the soft threshold and the hard threshold.

[0104] In this embodiment, the effect of improving the threshold parameter can be as follows Figure 3 As shown, Figure 3 It is a schematic diagram of the effect of improving the threshold parameters according to an embodiment of the present invention. Compared with the standard soft threshold function and the standard hard threshold function, the improved threshold function can perform smoothing in the area where the wavelet coefficients are close to the threshold, thereby achieving the purpose of enhancing the correlation between the wavelet coefficients of the soft threshold function and compensating for the defect of the discontinuity of the hard threshold function, thereby achieving the technical effect of reducing the frequency of occurrence of artifact effects and retaining effective signal components to a greater extent.

[0105] After threshold processing is performed on the wavelet coefficients using the improved wavelet threshold function, the process proceeds to step S23 to perform inverse wavelet transform on the wavelet coefficients after threshold processing, so that the initial feed flow rate signal can be reconstructed into the original time domain.

[0106] In the technical solution provided in the above step S23 of the present invention, the reconstructed signal will no longer include the noise signal in the initial feed flow signal, but only retains the effective signal in the initial feed flow signal.

[0107] After the initial feed flow rate signal is subjected to noise reduction processing, the process proceeds to step S3, and the current flotation flow rate of the flotation device is adjusted to the target flotation flow rate according to the initial feed flow rate signal subjected to noise reduction processing.

[0108] In this embodiment, the original signal may be as shown in FIG4(a), which is a schematic diagram of an original signal according to an embodiment of the present invention. The noisy signal may be as shown in FIG4(b), which is a schematic diagram of a noisy signal according to an embodiment of the present invention.

[0109] In this embodiment, the signal-to-noise ratio (SNR) and the root mean square error (RMSE) are used as evaluation indicators of the noise reduction effect. If the SNR of the noise-reduced signal and the standard signal is larger and the RMSE is smaller, the noise reduction effect is better. Among them, the SNR can be calculated by formula (4), and the RMSE can be calculated by formula (5):

[0110]

[0111] Among them, n can be used to represent the signal length, y(i) can be used to represent the signal before noise reduction, It can be used to represent the signal after noise reduction.

[0112] In the related art, the denoising effect of a Doppler signal based on a fixed (sqtwolog) threshold + a hard threshold can be shown in FIG5(a), which is a schematic diagram of the denoising effect of a Doppler signal based on a sqtwolog threshold + a hard threshold according to the related art, using a Doppler signal and adding noise with an SNR of 10. The Doppler signal is denoised by using a denoising method based on a sqtwolog threshold + a hard threshold, and a denoised Doppler signal can be obtained.

[0113] In the related art, the denoising effect of the Doppler signal based on the sqtwolog threshold + soft threshold can be shown in FIG5(b), which is a schematic diagram of the denoising effect of the Doppler signal based on the sqtwolog threshold + soft threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. The Doppler signal is denoised using the denoising method based on the sqtwolog threshold + soft threshold to obtain a denoised Doppler signal.

[0114] In the related art, the denoising effect of the Doppler signal based on the unbiased risk estimation (rigrsure) threshold + hard threshold can be shown in Figure 6 (a), which is a schematic diagram of the denoising effect of the Doppler signal based on the rigrsure threshold + hard threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. The Doppler signal is denoised by using the denoising method based on the rigrsure threshold + hard threshold to obtain a denoised Doppler signal.

[0115] In the related art, the denoising effect of the Doppler signal based on the rigrsure threshold + soft threshold can be shown in Figure 6(b), which is a schematic diagram of the denoising effect of the Doppler signal based on the rigrsure threshold + soft threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. By using the denoising method based on the rigrsure threshold + soft threshold, the Doppler signal is denoised to obtain a denoised Doppler signal.

[0116] In the related art, the denoising effect of the Doppler signal based on the heuristic threshold + hard threshold can be shown in FIG7(a), which is a schematic diagram of the denoising effect of the Doppler signal based on the heursure threshold + hard threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. The Doppler signal is denoised by using the denoising method based on the heursure threshold + hard threshold to obtain a denoised Doppler signal.

[0117] In the related art, the denoising effect of the Doppler signal based on the heursure threshold + soft threshold can be shown in FIG7(b), which is a schematic diagram of the denoising effect of the Doppler signal based on the heursure threshold + soft threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. The Doppler signal is denoised by using the denoising method based on the heursure threshold + soft threshold to obtain a denoised Doppler signal.

[0118] In the related art, the denoising effect of the Doppler signal based on the maximum and minimum criteria (minimaxi) threshold + hard threshold can be shown in Figure 8 (a), which is a schematic diagram of the denoising effect of the Doppler signal based on the minimaxi threshold + hard threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. Using the denoising method based on the minimaxi threshold + hard threshold, the Doppler signal is denoised to obtain a denoised Doppler signal.

[0119] In the related art, the denoising effect of the Doppler signal based on the maximum and minimum criteria (minimaxi) threshold + soft threshold can be shown in Figure 8 (b), which is a schematic diagram of the denoising effect of the Doppler signal based on the minimaxi threshold + soft threshold according to the related art, using the Doppler signal and adding noise with an SNR of 10. Using the denoising method based on the minimaxi threshold + soft threshold, the Doppler signal is denoised to obtain a denoised Doppler signal.

[0120] In this embodiment, the denoising effect of the Doppler signal based on the improved threshold can be as follows: Fig. 9 As shown, Fig. 9It is a schematic diagram of a denoising effect of a Doppler signal based on an improved threshold according to an embodiment of the present invention. A Doppler signal is used, noise with an SNR of 10 is added, a wavelet basis (coif3) is used for the Doppler signal, the number of decomposition layers is set to 5, and adjustment parameters a=0.5 and b=0.001 are set. Thus, the Doppler signal is denoised using a denoising method based on an improved threshold, and a denoised Doppler signal can be obtained.

[0121] Further, the following Table 1 shows that under the same conditions, the SNR of the denoising method based on the improved threshold is higher than the SNR of each denoising method in the related art, and the RMSE is lower than the RMSE of each denoising method in the related art, that is, the effective signal ratio of the denoising method based on the improved threshold is higher than the effective signal ratio of each denoising method in the related art, and the effective signal obtained by the denoising method based on the improved threshold is more stable than the effective signal obtained by each denoising method in the related art. Therefore, the denoising effect of the denoising method based on the improved threshold is better than the denoising effect of each denoising method in the related art.

[0122] Table 1 Doppler signal denoising results statistics

[0123] Method Name SNR RMSE sqtwolog threshold + hard threshold 25.4902 0.5387 sqtwolog threshold + soft threshold 25.3238 0.5492 rigrsure threshold + hard threshold 26.0379 0.5058 rigrsure threshold + soft threshold 27.8348 0.4113 Heursure threshold + hard threshold 26.6635 0.4663 Heursure threshold + soft threshold 25.6635 0.5281 minimaxi threshold + hard threshold 25.9274 0.5123 minimax threshold + soft threshold 26.4903 0.4801 Improved threshold function 28.5615 0.3783

[0124] In this embodiment, the flotation feed flow rate signal collected in the startup state can be as follows: Fig.10 As shown, Fig.10 It is a schematic diagram of a flotation feed flow rate signal collected in a startup state according to an embodiment of the present invention. For the feed flow rate of coal flotation, the first 600 groups of data collected in the startup state are selected as experimental data. That is to say, the first 600 groups of initial feed flow rate signals collected in the startup state are selected as experimental data, the coif3 wavelet basis is used for the initial feed flow rate signal, the number of decomposition layers is set to 5, and the adjustment parameters a=0.5 and b=0.001 are set, thereby using the denoising method based on the improved threshold to denoise the initial feed flow rate signal.

[0125] In the related art, the denoising effect of the flotation feed flow signal based on the sqtwolog threshold + hard threshold can be shown in Figure 11(a). Figure 11(a) is a schematic diagram of the denoising effect of the flotation feed flow signal based on the sqtwolog threshold + hard threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on the sqtwolog threshold + hard threshold.

[0126] In the related art, the denoising effect of the flotation feed flow signal based on the sqtwolog threshold + soft threshold can be shown in Figure 11(b). Figure 11(b) is a schematic diagram of the denoising effect of the flotation feed flow signal based on the sqtwolog threshold + soft threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on the sqtwolog threshold + soft threshold.

[0127] In the related art, the denoising effect of the flotation feed flow signal based on the rigrsure threshold + hard threshold can be shown in Figure 12(a). Figure 12(a) is a schematic diagram of the denoising effect of the flotation feed flow signal based on the rigrsure threshold + hard threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on the rigrsure threshold + hard threshold.

[0128] In the related art, the denoising effect of the flotation feed flow signal based on the rigrsure threshold + soft threshold can be shown in Figure 12(b). Figure 12(b) is a schematic diagram of the denoising effect of the flotation feed flow signal based on the rigrsure threshold + soft threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on the rigrsure threshold + soft threshold.

[0129] In the related art, the denoising effect of the flotation feed flow signal based on heursure threshold + hard threshold can be shown in Figure 13(a). Figure 13(a) is a schematic diagram of the denoising effect of the flotation feed flow signal based on heursure threshold + hard threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on heursure threshold + hard threshold.

[0130] In the related art, the denoising effect of the flotation feed flow signal based on heursure threshold + soft threshold can be shown in Figure 13(b). Figure 13(b) is a schematic diagram of the denoising effect of the flotation feed flow signal based on heursure threshold + soft threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on heursure threshold + soft threshold.

[0131] In the related art, the denoising effect of the flotation feed flow signal based on minimaxi threshold + hard threshold can be shown in Figure 14(a). Figure 14(a) is a schematic diagram of the denoising effect of the flotation feed flow signal based on minimaxi threshold + hard threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on minimaxi threshold + hard threshold.

[0132] In the related art, the denoising effect of the flotation feed flow signal based on minimaxi threshold + soft threshold can be shown in Figure 14(b). Figure 14(b) is a schematic diagram of the denoising effect of the flotation feed flow signal based on minimaxi threshold + soft threshold according to the related art. The initial feed flow signal is denoised using the denoising method based on minimaxi threshold + soft threshold.

[0133] In this embodiment, the denoising effect of the flotation feed flow rate signal based on the improved threshold can be as follows: Fig.15 As shown, Fig.15 It is a schematic diagram of the denoising effect of a flotation feed flow signal based on an improved threshold according to an embodiment of the present invention. By using the denoising method based on the improved threshold, the initial feed flow signal is denoised to obtain a target feed flow signal.

[0134] Further, the following Table 2 shows that under the same conditions, the SNR of the denoising method based on the improved threshold is higher than the SNR of each denoising method in the related art, and the RMSE is lower than the RMSE of each denoising method in the related art, that is, the effective signal ratio of the denoising method based on the improved threshold is higher than the effective signal ratio of each denoising method in the related art, and the effective signal obtained by the denoising method based on the improved threshold is more stable than the effective signal obtained by each denoising method in the related art. Therefore, the denoising effect of the denoising method based on the improved threshold is better than the denoising effect of each denoising method in the related art.

[0135] Table 2 Statistics of initial feed flow rate signal denoising results

[0136] Method Name SNR RMSE sqtwolog threshold + hard threshold 21.9154 24.2786 sqtwolog threshold + soft threshold 21.7755 24.6728 rigrsure threshold + hard threshold 21.9965 24.0530 rigrsure threshold + soft threshold 21.6074 25.1549 Heursure threshold + hard threshold 21.4201 25.7032 Heursure threshold + soft threshold 21.2387 26.2456 minimaxi threshold + hard threshold 21.9706 24.1248 minimax threshold + soft threshold 21.3141 26.0187 Improved threshold function 22.3482 23.0984

[0137] In this embodiment, when adjusting the flotation flow rate of the flotation device, the initial feed flow rate signal of the coal slurry can be obtained, that is, the speed at which the coal slurry enters the flotation device can be obtained. The obtained initial feed flow rate signal is subjected to noise reduction to obtain a target feed flow rate signal, and according to the obtained target feed flow rate signal, the current flotation flow rate of the flotation device can be adjusted to the target flotation flow rate, thereby achieving the purpose of avoiding the flotation carbon selection process being affected by the flotation flow rate of the flotation reagent being too fast or too slow, thereby solving the technical problem of low efficiency of flotation carbon selection, and further achieving the technical effect of improving the efficiency of flotation carbon selection.

[0138] According to an embodiment of the present invention, a flotation flow rate adjustment device for a flotation device is also provided. It should be noted that the flotation flow rate adjustment device for a flotation device can be used to execute a flotation flow rate adjustment method for a flotation device in an embodiment.

[0139] Fig.16Schematic diagram of a flotation flow rate adjustment device of a flotation device according to an embodiment of the present invention. Fig.16 As shown, the flotation flow rate adjustment device 1600 of the flotation equipment may include: an acquisition unit 1601 , a noise reduction unit 1602 and an adjustment unit 1603 .

[0140] The acquisition unit 1601 is used to acquire an initial feed flow rate signal of the coal slurry, wherein the initial feed flow rate signal is used to at least indicate a speed at which the coal slurry enters the flotation device.

[0141] The noise reduction unit 1602 is used to reduce the noise of the initial feed flow rate signal to obtain a target feed flow rate signal.

[0142] The adjustment unit 1603 is used to adjust the current flotation flow of the flotation device to the target flotation flow based on the target feed flow signal, wherein the current flotation flow is used to indicate the current speed at which the flotation agent enters the flotation device, and the flotation agent is used to separate coal from the coal slurry. The target flotation flow corresponds to the target feed flow signal.

[0143] Optionally, the noise reduction unit 1602 may include: a decomposition module, used to decompose the initial feed flow signal to obtain noise data in the initial feed flow data, wherein the initial feed flow data corresponds to the initial feed flow signal; and a determination module, used to determine the target feed flow signal based on the noise data.

[0144] Optionally, the determination module may include: an adjustment submodule, used to adjust the noise data to the target noise data in the initial feed flow data to obtain the target feed flow data; and a determination submodule, used to determine the target feed flow signal based on the target feed flow data.

[0145] Optionally, the determination submodule may determine the target feed flow rate signal based on the target feed flow rate data by executing the following steps: performing an inverse transformation on the target feed flow rate data to obtain the target feed flow rate signal.

[0146] Optionally, the adjustment unit 1603 may include: a search module, used to search for a target flotation flow corresponding to a target feed flow signal from a target database, wherein the target database includes a mapping relationship between different feed flow signals and different flotation flows; and an adjustment module, used to adjust the current flotation flow to the target flotation flow.

[0147] Optionally, the search module may include: a search submodule for searching, in response to different feed flow signals including a target feed flow signal, a target flotation flow whose target feed flow signal satisfies a mapping relationship from a target database.

[0148] In this embodiment, an acquisition unit is used to acquire an initial feed flow signal of the coal slurry, wherein the initial feed flow signal is used to at least indicate the speed at which the coal slurry enters the flotation device; a noise reduction unit is used to reduce the noise of the initial feed flow signal to obtain a target feed flow signal; an adjustment unit is used to adjust the current flotation flow of the flotation device to the target flotation flow based on the target feed flow signal, wherein the current flotation flow is used to indicate the current speed at which the flotation agent enters the flotation device, the flotation agent is used to separate coal from the coal slurry, and the target flotation flow corresponds to the target feed flow signal, thereby achieving the purpose of avoiding the flotation carbon separation process being affected by the flotation flow of the flotation agent being too fast or too slow, thereby solving the technical problem of low efficiency of flotation carbon separation, and further achieving the technical effect of improving the efficiency of flotation carbon separation.

[0149] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program, wherein when the program is run by the processor, the flotation flow rate adjustment method of the flotation device in the embodiment is executed.

[0150] According to an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the flotation flow rate adjustment method of the flotation device in the embodiment is executed when the program is running.

[0151] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the flotation flow rate adjustment method of the flotation device in the embodiment.

[0152] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes a computer program. When the computer program is executed by a processor, the flotation flow rate adjustment method of the flotation device in the embodiment is implemented.

[0153] According to an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the flotation flow adjustment method of the flotation device in the embodiment is implemented.

[0154] According to an embodiment of the present invention, a computer program is further provided. When the computer program is executed by a processor, the flotation flow rate adjustment method of the flotation device in the embodiment is implemented.

[0155] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0156] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0157] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0158] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0159] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0160] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the relevant technology or the whole or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, referred to as Read-Only Memory), random access memory (RAM, referred to as Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0161] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for adjusting the flotation flow of a flotation device, characterized in that: include: Acquire an initial feed flow rate signal of the coal slurry, wherein the initial feed flow rate signal is used to at least indicate a speed at which the coal slurry enters the flotation device; De-noising the initial feed flow rate signal to obtain a target feed flow rate signal; Based on the target feed flow signal, the current flotation flow of the flotation device is adjusted to the target flotation flow, wherein the current flotation flow is used to indicate the current speed at which the flotation agent enters the flotation device, the flotation agent is used to separate coal from the coal slurry, and the target flotation flow corresponds to the target feed flow signal.

2. The method according to claim 1, characterized in that Denoising the initial feed flow rate signal to obtain a target feed flow rate signal, including: Decomposing the initial feed flow rate signal to obtain noise data in the initial feed flow rate data, wherein the initial feed flow rate data corresponds to the initial feed flow rate signal; Based on the noise data, the target feed flow rate signal is determined.

3. The method according to claim 2, characterized in that Determining the target feed flow rate signal based on the noise data includes: In the initial feed flow data, the noise data is adjusted to the target noise data to obtain the target feed flow data; Based on the target feed flow rate data, the target feed flow rate signal is determined.

4. The method according to claim 3, characterized in that Determining the target feed flow rate signal based on the target feed flow rate data includes: The target feed flow rate data is inversely transformed to obtain the target feed flow rate signal.

5. The method according to claim 1, characterized in that: Based on the target feed flow rate signal, adjusting the current flotation flow rate of the flotation device to the target flotation flow rate includes: Searching for the target flotation flow rate corresponding to the target feed flow rate signal from a target database, wherein the target database includes a mapping relationship between different feed flow rate signals and different flotation flow rates; The current flotation flow rate is adjusted to the target flotation flow rate.

6. The method according to claim 5, characterized in that Searching the target flotation flow rate corresponding to the target feed flow rate signal from the target database includes: In response to the different feed flow rate signals including the target feed flow rate signal, a target flotation flow rate whose target feed flow rate signal satisfies the mapping relationship is searched from the target database.

7. A flotation flow rate adjustment device, characterized in that: include: An acquisition unit, used for acquiring an initial feed flow rate signal of the coal slurry, wherein the initial feed flow rate signal is used for at least indicating a speed at which the coal slurry enters the flotation device; A noise reduction unit, used for reducing the noise of the initial feed flow rate signal to obtain a target feed flow rate signal; An adjustment unit is used to adjust the current flotation flow of the flotation device to a target flotation flow based on the target feed flow signal, wherein the current flotation flow is used to indicate the current speed at which the flotation agent enters the flotation device, the flotation agent is used to separate coal from the coal slurry, and the target flotation flow corresponds to the target feed flow signal.

8. A processor, characterized in that: The processor is used to run a program, wherein the program, when run by the processor, executes the flotation flow rate adjustment method of the flotation device according to any one of claims 1 to 6.

9. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein the program executes the flotation flow adjustment method of the flotation device according to any one of claims 1 to 6 when running.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is run, the device where the storage medium is located is controlled to execute the flotation flow adjustment method of the flotation device according to any one of claims 1 to 6.

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