A flotation foam image analysis system based on pattern recognition

Abstract

The present invention discloses a flotation foam image analysis system based on pattern recognition, which relates to the field of flotation foam image analysis technology, including an image analysis terminal for controlling data transmission and information interaction between various modules. The present invention first removes noise and irrelevant areas in the foam flotation image, making subsequent foam density analysis and reduction analysis more convenient and accurate. Secondly, the foam in the final foam flotation image is counted by a spot detection algorithm to determine the number of foams, and then the foam density information is calculated. Then, the position of the foam is analyzed by a rectangular coordinate system to determine the foam reduction information. Finally, the foam reduction information and the foam density information are judged and analyzed to determine whether the flotation agent ratio needs to be changed. The above method avoids the problem that workers may become tired from staring at the flotation tank for a long time, which may increase the judgment error of the flotation foam and make it impossible to accurately control the flotation agent ratio.

Description

Technical Field

[0001] The present invention relates to the technical field of flotation foam image analysis, and in particular to a flotation foam image analysis system based on pattern recognition. Background Art

[0002] The principle process of froth flotation involves bubbles rising through the slurry, carrying selective mineral particles that are loosely bound at the gas-liquid interface. The froth formed on the surface of the slurry is then scraped off. This process is simple in concept but complex in detail. Its adaptability and effectiveness have made froth flotation the most widely used method for separating complex, low-grade ores. Over 90% of copper, lead, zinc, molybdenum, antimony, and nickel are recovered worldwide using froth flotation. Although the first patents for froth flotation were issued in the 19th century, the equipment, technology, and understanding of surface chemistry used in flotation are still evolving.

[0003] The flotation process is carried out in the flotation cell, where foam is generated. Experienced workers usually rely on their naked eyes to judge the density and reduction rate of the flotation foam. When workers stare at the flotation cell for a long time, they may become tired, which may increase the error in judging the flotation foam and make it impossible to accurately control the proportion of flotation reagents. Summary of the Invention

[0004] In order to solve the above technical problems, a flotation foam image analysis system based on pattern recognition is provided. This technical solution solves the problem proposed in the above background technology that the flotation process is carried out in the flotation cell, and foam is generated in the flotation cell. Experienced workers usually rely on the naked eye to judge the density and reduction rate of the flotation foam. When workers stare at the flotation cell for a long time, they may become tired, which may increase the error in judging the flotation foam and make it impossible to accurately control the proportion of flotation reagents.

[0005] In order to achieve the above objects, the technical solution adopted by the present invention is:

[0006] A flotation foam image analysis system based on pattern recognition, comprising:

[0007] An image analysis terminal, which is used to control each module to perform image preprocessing, foam density analysis, foam reduction analysis, foam density judgment, and foam reduction judgment on the foam flotation image, and to determine whether the flotation reagent ratio needs to be changed. The image analysis terminal is used to control data transmission and information exchange between each module;

[0008] A database system, the database system being used to store a standard of foam existence duration;

[0009] An image storage device, the image storage device being used to store froth flotation images;

[0010] An image preprocessing module, which performs image preprocessing on the froth flotation image to obtain a target froth flotation image set;

[0011] a foam density analysis module, which performs density analysis on a target foam flotation image set to obtain foam density information;

[0012] It is understandable that when the flotation reagent ratio does not meet the requirements, the amount of foam produced will be less, so the amount of foam is also a key parameter to determine whether the flotation reagent ratio meets the standards;

[0013] a foam reduction analysis module, the foam reduction analysis module performing stability analysis on a target foam flotation image set to determine foam reduction information;

[0014] It is understandable that when the foam lasts for a short time, that is, the foam breaks down less within a period of time, it can also reflect that the flotation reagent ratio does not meet the standard. Because the foam lasts for a short time, the metal particles attached to the surface will fall back into the water of the flotation tank, and the workers cannot collect this part of the metal, thereby reducing the metal collection efficiency.

[0015] a foam density information determination module, which analyzes and processes the foam density information to determine the foam density level;

[0016] a foam reduction amount information determination module, which analyzes and processes the foam reduction amount information to determine a foam reduction amount level;

[0017] The foam level analysis module analyzes and processes the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed.

[0018] Preferably, the image preprocessing module performs image preprocessing on the foam flotation image to obtain a target foam flotation image set, specifically comprising the following steps:

[0019] Based on the image analysis terminal, the image storage device is processed to extract the image and obtain the foam flotation image;

[0020] Based on the image analysis terminal, the foam flotation image is preprocessed with image features to obtain the target foam flotation image, wherein the image feature preprocessing includes feature denoising, feature enhancement and irrelevant area cropping;

[0021] It is understandable that there are irrelevant areas and irrelevant features in the image, so in order to reduce the amount of calculation and reduce the error, the irrelevant areas and irrelevant features are removed;

[0022] Based on the image analysis terminal, the target foam flotation image is analyzed and processed to obtain a target foam flotation image set.

[0023] Preferably, the target foam flotation image is analyzed and processed based on the image analysis terminal to obtain the target foam flotation image set, which specifically includes the following steps:

[0024] Based on the image analysis terminal, the target foam flotation image is split and processed based on the time unit second, and several groups of target foam flotation images are obtained;

[0025] Based on the image analysis terminal, several groups of target foam flotation images are uniquely marked with time continuity as a feature, and several groups of target foam flotation images with time information are obtained;

[0026] Based on the image analysis terminal, several groups of target foam flotation pictures with time information are sorted and collected based on the time continuity feature to obtain a target foam flotation image set.

[0027] Preferably, the foam density analysis module performs density analysis on the target foam flotation image set to obtain foam density information, specifically comprising the following steps:

[0028] Based on the image analysis terminal, data is extracted and processed from the database system to obtain relevant parameter information of the flotation cell;

[0029] Based on the image analysis terminal, data extraction and processing are performed on relevant parameter information of the flotation cell to obtain the size information of the flotation cell slot, wherein the size information of the flotation cell slot is specifically the length data and the width data of the flotation cell slot;

[0030] Based on the image analysis terminal, the size information of the flotation tank slot is calculated and processed to obtain the area data of the flotation tank slot;

[0031] Based on the image analysis terminal, the area data of the flotation tank slot and the target foam flotation image set are analyzed and processed to obtain the foam density information.

[0032] Preferably, the image analysis terminal is used to analyze and process the area data of the flotation tank notch and the target froth flotation image set to obtain the froth density information, specifically comprising the following steps:

[0033] Based on the image analysis terminal, the time information of the target foam flotation image is filtered and processed to determine the final foam flotation image;

[0034] Based on the image analysis terminal, feature extraction and processing are performed on the final foam flotation image to obtain the foam quantity;

[0035] Based on the image analysis terminal, the foam quantity and the area data of the flotation tank slot are calculated and processed to obtain the foam density information.

[0036] Preferably, the foam reduction analysis module performs stability analysis on the target foam flotation image set to determine the foam reduction information, specifically comprising the following steps:

[0037] Based on the image analysis terminal, the database system is read and processed to obtain the standard of foam existence time;

[0038] Based on the image analysis terminal, the target foam flotation image set is split based on the foam existence duration standard to obtain multiple groups of target foam flotation image subsets;

[0039] Based on the image analysis terminal, image extraction and processing are performed on multiple target foam flotation image subsets based on the time continuity feature to obtain the subset initial image and the subset final image;

[0040] Based on the image analysis terminal, the subset initial image and the subset final image are analyzed and processed to determine the foam reduction amount information.

[0041] Preferably, the analyzing and processing of the subset initial image and the subset final image based on the image analysis terminal to determine the foam reduction amount information specifically includes the following steps:

[0042] Based on the image analysis terminal, the lower left corner of the initial image of the subset is set as the coordinate origin, the horizontal direction of the initial image of the subset is set as the X axis, and the vertical direction of the initial image of the subset is set as the Y axis to obtain a rectangular coordinate system;

[0043] The image analysis terminal marks the foam positions in the initial image of the subset and the final image of the subset using a rectangular coordinate system to obtain the initial foam position and the final foam position;

[0044] Based on the image analysis terminal, the final foam position is matched with the initial foam position as a feature to obtain the foam reduction information.

[0045] Preferably, the foam density information judgment module analyzes and processes the foam density information to determine the foam density level, specifically comprising the following steps:

[0046] Based on the image analysis terminal, the foam density information and the set foam density threshold are judged and processed;

[0047] If the foam density information is greater than or equal to the set first foam density threshold, the foam density level is excellent;

[0048] If the foam density information is less than the set first foam density threshold, and the foam density information is greater than or equal to the set second foam density threshold, the foam density level is good;

[0049] If the foam density information is less than the set second foam density threshold, the foam density level is poor.

[0050] Preferably, the foam reduction information determination module analyzes and processes the foam reduction information to determine the foam reduction level, specifically comprising the following steps:

[0051] Based on the image analysis terminal, the foam reduction information and the set foam reduction threshold are judged;

[0052] If the foam reduction amount information is greater than or equal to the set first foam reduction amount threshold, the foam reduction amount level is poor;

[0053] If the foam reduction amount information is less than the set first foam reduction amount threshold, and the foam reduction amount information is greater than or equal to the set second foam reduction amount threshold, the foam reduction amount level is good;

[0054] If the foam reduction amount information is less than the second foam reduction amount threshold, the foam reduction amount level is excellent.

[0055] Preferably, the foam level analysis module analyzes and processes the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed, specifically comprising the following steps:

[0056] If the foam density grade is excellent or good, and the foam reduction grade is excellent or good, the image analysis terminal records the proportion of flotation reagent;

[0057] If the foam density level is excellent or good, and the foam reduction level is poor, the image analysis terminal generates information indicating that the flotation reagent ratio needs to be changed, and the image analysis terminal sends the information indicating that the flotation reagent ratio needs to be changed to the external display terminal;

[0058] If the foam density level is poor, the image analysis terminal generates information indicating that the proportion of flotation reagents needs to be changed, and the image analysis terminal sends the information indicating that the proportion of flotation reagents needs to be changed to the external display terminal.

[0059] Furthermore, a flotation foam image analysis method based on pattern recognition is proposed, which is used to adopt the above-mentioned flotation foam image analysis system based on pattern recognition, including:

[0060] S1. Based on the image analysis terminal, control the image preprocessing module to perform image feature denoising, feature enhancement, irrelevant area cropping and image splitting on the foam flotation image to obtain a target foam flotation image set;

[0061] S2. Based on the image analysis terminal, control the foam density analysis module to perform density calculation processing on the area data of the flotation tank slot and the amount of foam to obtain foam density information;

[0062] S3. Based on the image analysis terminal, the foam reduction analysis module is controlled to match the initial foam position and the final foam position to determine the foam reduction information, where the initial foam position and the final foam position are both two-dimensional coordinates;

[0063] S4. Based on the image analysis terminal, the foam density information judgment module is controlled to judge and process the foam density information and the set foam density threshold to determine the foam density level;

[0064] S5. Based on the image analysis terminal, the foam reduction amount information judgment module is controlled to judge the foam reduction amount information and the set foam reduction amount threshold to determine the foam reduction amount level;

[0065] S6. Based on the image analysis module, the foam level analysis module is controlled to analyze and process the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed.

[0066] Furthermore, a storage medium is proposed, on which a computer program is stored. When the computer program is called and run, it executes the above-mentioned flotation foam image analysis method based on pattern recognition.

[0067] Compared with the existing technology, the present invention provides a flotation foam image analysis system based on pattern recognition, which has the following beneficial effects:

[0068] The present invention first pre-processes the foam flotation image to remove noise and irrelevant areas in the foam flotation image, and splits the foam flotation image into static pictures, so that subsequent foam density analysis and reduction analysis are more convenient and accurate. Secondly, the foam in the final foam flotation image is counted by a spot detection algorithm to determine the number of foams, and then the foam density information is calculated. Then, the position of the foam is analyzed by a rectangular coordinate system to determine the foam reduction information. Finally, the foam reduction information and the foam density information are judged and analyzed to determine whether the flotation agent ratio needs to be changed. The above method avoids the problem that workers may become tired by staring at the flotation tank for a long time, which may increase the judgment error of the flotation foam and make it impossible to accurately control the flotation agent ratio. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a structural diagram of a flotation foam image analysis system based on pattern recognition proposed by the present invention;

[0070] Figure 2This is a schematic diagram of the process of obtaining a target froth flotation image set proposed by the present invention;

[0071] Figure 3 This is a schematic diagram of the process of obtaining foam density information proposed by the present invention;

[0072] Figure 4 A schematic diagram of a process for determining foam reduction information proposed in the present invention;

[0073] Figure 5 A schematic diagram of the process for determining the foam density level proposed by the present invention;

[0074] Figure 6 A schematic diagram of a process for determining the foam reduction level proposed by the present invention;

[0075] Figure 7 This is a flow chart of determining whether the flotation reagent ratio needs to be changed, as proposed by the present invention. DETAILED DESCRIPTION

[0076] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive of other obvious variations.

[0077] Reference Figure 1 As shown, a flotation foam image analysis system based on pattern recognition includes:

[0078] An image analysis terminal, which is used to control each module to perform image preprocessing, foam density analysis, foam reduction analysis, foam density judgment, and foam reduction judgment on the foam flotation image, and to determine whether the flotation reagent ratio needs to be changed. The image analysis terminal is used to control data transmission and information exchange between each module;

[0079] A database system, the database system being used to store a standard of foam existence duration;

[0080] An image storage device, the image storage device being used to store froth flotation images;

[0081] An image preprocessing module, which performs image preprocessing on the froth flotation image to obtain a target froth flotation image set;

[0082] a foam density analysis module, which performs density analysis on a target foam flotation image set to obtain foam density information;

[0083] a foam reduction analysis module, the foam reduction analysis module performing stability analysis on a target foam flotation image set to determine foam reduction information;

[0084] a foam density information determination module, which analyzes and processes the foam density information to determine the foam density level;

[0085] a foam reduction amount information determination module, which analyzes and processes the foam reduction amount information to determine a foam reduction amount level;

[0086] A foam level analysis module, which analyzes and processes the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed;

[0087] In this embodiment, after the metal is broken, the metal particles are attached to the foam generated by the flotation tank through the reagent, thereby realizing the separation of the metal. However, the density of the foam and the dissipation time of the foam affect the efficiency of metal classification, and the existing flotation foam is judged by the naked eye of experienced workers. When the workers stare at the flotation tank for a long time, it may cause visual fatigue, which may increase the judgment error of the flotation foam and make it impossible to make precise control of the flotation reagent ratio. Therefore, by performing foam density analysis, foam reduction analysis, foam density judgment, and foam reduction judgment on the foam flotation image, it is determined whether the flotation reagent ratio needs to be adjusted. This reduces the work intensity of the workers while improving the accuracy of foam flotation. In addition, the flotation reagent ratio can be precisely controlled according to the state of the foam.

[0088] Reference Figure 2 As shown, the image preprocessing module performs image preprocessing on the foam flotation image to obtain the target foam flotation image set, which specifically includes the following steps:

[0089] Based on the image analysis terminal, the image storage device is processed to extract the image and obtain the foam flotation image;

[0090] Based on the image analysis terminal, the foam flotation image is preprocessed with image features to obtain the target foam flotation image, wherein the image feature preprocessing includes feature denoising, feature enhancement and irrelevant area cropping;

[0091] Based on the image analysis terminal, the target foam flotation image is analyzed and processed to obtain a target foam flotation image set;

[0092] The target foam flotation image is analyzed and processed based on the image analysis terminal to obtain the target foam flotation image set, which specifically includes the following steps:

[0093] Based on the image analysis terminal, the target foam flotation image is split and processed based on the time unit second, and several groups of target foam flotation images are obtained;

[0094] Based on the image analysis terminal, several groups of target foam flotation images are uniquely marked with time continuity as a feature, and several groups of target foam flotation images with time information are obtained;

[0095] Based on the image analysis terminal, a plurality of target foam flotation images with time information are sorted and collected based on the time continuity feature to obtain a target foam flotation image set;

[0096] In this embodiment, the froth flotation image contains not only froth features but also other features, such as environmental features and flotation tank features. To reduce the computational complexity of subsequent analysis, the froth flotation image is cropped to remove irrelevant features while retaining the froth features. Furthermore, to more accurately count the froth quantity, the froth features are enhanced. In subsequent steps, the amount of froth reduction needs to be determined. Therefore, the target froth flotation image is split into individual images. The froth quantity is determined by analyzing each image individually. However, since the change in froth quantity occurs over a timeframe, the split images are labeled with time information. This unique labeling ensures a well-organized subsequent analysis.

[0097] Reference Figure 3 As shown, the foam density analysis module performs density analysis on the target foam flotation image set, and obtaining foam density information specifically includes the following steps:

[0098] Based on the image analysis terminal, data is extracted and processed from the database system to obtain relevant parameter information of the flotation cell;

[0099] Based on the image analysis terminal, data extraction and processing are performed on relevant parameter information of the flotation cell to obtain the size information of the flotation cell slot, wherein the size information of the flotation cell slot is specifically the length data and the width data of the flotation cell slot;

[0100] Based on the image analysis terminal, the size information of the flotation tank slot is calculated and processed to obtain the area data of the flotation tank slot;

[0101] Based on the image analysis terminal, the area data of the flotation tank slot and the target foam flotation image set are analyzed and processed to obtain foam density information;

[0102] The image analysis terminal is used to analyze and process the area data of the flotation tank opening and the target froth flotation image set to obtain the froth density information, specifically including the following steps:

[0103] Based on the image analysis terminal, the time information of the target foam flotation image is filtered and processed to determine the final foam flotation image;

[0104] Based on the image analysis terminal, feature extraction and processing are performed on the final foam flotation image to obtain the foam quantity;

[0105] Based on the image analysis terminal, the foam quantity and the area data of the flotation tank slot are calculated and processed to obtain the foam density information;

[0106] In this embodiment, workers can collect metal by collecting foam, and the last picture in the foam flotation image is the final amount of foam. Therefore, by comparing the time information of the target foam picture, the picture with the last time information is screened out, and the feature is extracted by the spot detection algorithm to obtain the foam quantity. The foam quantity here is the final amount of foam collected by the worker. Therefore, by screening the final foam flotation picture, the foam density information is obtained.

[0107] Reference Figure 4 As shown, the foam reduction analysis module performs stability analysis on the target foam flotation image set and determines the foam reduction information, specifically including the following steps:

[0108] Based on the image analysis terminal, the database system is read and processed to obtain the standard of foam existence time;

[0109] Based on the image analysis terminal, the target foam flotation image set is split based on the foam existence duration standard to obtain multiple groups of target foam flotation image subsets;

[0110] Based on the image analysis terminal, image extraction and processing are performed on multiple target foam flotation image subsets based on the time continuity feature to obtain the subset initial image and the subset final image;

[0111] Based on the image analysis terminal, the initial image of the subset and the final image of the subset are analyzed and processed to determine the foam reduction amount information;

[0112] The analysis and processing of the subset initial image and the subset final image based on the image analysis terminal to determine the foam reduction information specifically includes the following steps:

[0113] Based on the image analysis terminal, the lower left corner of the initial image of the subset is set as the coordinate origin, the horizontal direction of the initial image of the subset is set as the X axis, and the vertical direction of the initial image of the subset is set as the Y axis to obtain a rectangular coordinate system;

[0114] The image analysis terminal marks the foam positions in the initial image of the subset and the final image of the subset using a rectangular coordinate system to obtain the initial foam position and the final foam position;

[0115] Based on the image analysis terminal, the final foam position is matched with the initial foam position as a feature to obtain the foam reduction information;

[0116] In this embodiment, in order to accurately obtain the amount of foam reduction, a rectangular coordinate system is constructed to locate the foam in the image, and the coordinate information of each foam in the two images is used to determine whether the foam has decreased. This is because when the proportion of flotation agents is not appropriate, the duration of the foam will be shortened. When the foam breaks, the metal particles attached to the foam will also sink and float in the flotation tank. Workers will not be able to collect this part of the metal, thereby reducing the metal collection efficiency. It is worth noting that the longer the foam is maintained, the lower the amount of foam reduction.

[0117] Reference Figure 5 As shown, the foam density information judgment module analyzes and processes the foam density information to determine the foam density level, specifically including the following steps:

[0118] Based on the image analysis terminal, the foam density information and the set foam density threshold are judged and processed;

[0119] If the foam density information is greater than or equal to the set first foam density threshold, the foam density level is excellent;

[0120] If the foam density information is less than the set first foam density threshold, and the foam density information is greater than or equal to the set second foam density threshold, the foam density level is good;

[0121] If the foam density information is less than the set second foam density threshold, the foam density level is poor;

[0122] In this embodiment, the flotation reagent ratio not only affects the foam density, but also affects the foam maintenance time. Therefore, by analyzing the foam density, it can be determined whether the flotation reagent ratio meets the requirements and whether the flotation reagent ratio needs to be changed.

[0123] Reference Figure 6 As shown, the foam reduction information determination module analyzes and processes the foam reduction information to determine the foam reduction level, specifically including the following steps:

[0124] Based on the image analysis terminal, the foam reduction information and the set foam reduction threshold are judged;

[0125] If the foam reduction amount information is greater than or equal to the set first foam reduction amount threshold, the foam reduction amount level is poor;

[0126] If the foam reduction amount information is less than the set first foam reduction amount threshold, and the foam reduction amount information is greater than or equal to the set second foam reduction amount threshold, the foam reduction amount level is good;

[0127] If the foam reduction amount information is less than the second foam reduction amount threshold, the foam reduction amount level is excellent.

[0128] Reference Figure 7 As shown, the foam level analysis module analyzes and processes the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed. The specific steps include the following:

[0129] If the foam density grade is excellent or good, and the foam reduction grade is excellent or good, the image analysis terminal records the proportion of flotation reagent;

[0130] If the foam density level is excellent or good, and the foam reduction level is poor, the image analysis terminal generates information indicating that the flotation reagent ratio needs to be changed, and the image analysis terminal sends the information indicating that the flotation reagent ratio needs to be changed to the external display terminal;

[0131] If the foam density level is poor, the image analysis terminal generates information that the flotation reagent ratio needs to be changed, and the image analysis terminal sends the information that the flotation reagent ratio needs to be changed to the external display terminal;

[0132] In this embodiment, by performing grade analysis on the foam density grade and the foam reduction grade, it is possible to determine whether the flotation reagent ratio meets the standard. Therefore, by determining the foam density information and the foam reduction information by the above method, it is possible to intuitively determine whether the flotation reagent ratio meets the requirements.

[0133] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A flotation foam image analysis system based on pattern recognition, characterized in that: include: An image analysis terminal, which is used to control each module to perform image preprocessing, foam density analysis, foam reduction analysis, foam density judgment, and foam reduction judgment on the foam flotation image, and to determine whether the flotation reagent ratio needs to be changed. The image analysis terminal is used to control data transmission and information exchange between each module; A database system, the database system being used to store a standard of foam existence duration; An image storage device, the image storage device being used to store froth flotation images; An image preprocessing module, which performs image preprocessing on the froth flotation image to obtain a target froth flotation image set; The foam density analysis module performs density analysis on the target foam flotation image set to obtain foam density information, specifically including the following steps: Based on the image analysis terminal, data is extracted and processed from the database system to obtain relevant parameter information of the flotation cell; Based on the image analysis terminal, data extraction and processing are performed on relevant parameter information of the flotation cell to obtain the size information of the flotation cell slot, wherein the size information of the flotation cell slot is specifically the length data and the width data of the flotation cell slot; Based on the image analysis terminal, the size information of the flotation tank slot is calculated and processed to obtain the area data of the flotation tank slot; Based on the image analysis terminal, the area data of the flotation tank slot and the target foam flotation image set are analyzed and processed to obtain foam density information; The foam reduction analysis module performs stability analysis on the target foam flotation image set and determines the foam reduction information, specifically comprising the following steps: Based on the image analysis terminal, the database system is read and processed to obtain the standard of foam existence time; Based on the image analysis terminal, the target foam flotation image set is split based on the foam existence duration standard to obtain multiple groups of target foam flotation image subsets; Based on the image analysis terminal, image extraction and processing are performed on multiple target foam flotation image subsets based on the time continuity feature to obtain the subset initial image and the subset final image; Based on the image analysis terminal, the initial image of the subset and the final image of the subset are analyzed and processed to determine the foam reduction amount information; a foam density information determination module, which analyzes and processes the foam density information to determine the foam density level; a foam reduction amount information determination module, which analyzes and processes the foam reduction amount information to determine a foam reduction amount level; The foam level analysis module analyzes and processes the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed.

2. The flotation foam image analysis system based on pattern recognition according to claim 1, characterized in that: The image preprocessing module performs image preprocessing on the foam flotation image to obtain a target foam flotation image set, specifically comprising the following steps: Based on the image analysis terminal, the image storage device is processed to extract the image and obtain the foam flotation image; Based on the image analysis terminal, the foam flotation image is preprocessed with image features to obtain the target foam flotation image, wherein the image feature preprocessing includes feature denoising, feature enhancement and irrelevant area cropping; Based on the image analysis terminal, the target foam flotation image is analyzed and processed to obtain a target foam flotation image set.

3. The flotation foam image analysis system based on pattern recognition according to claim 2, characterized in that: The target foam flotation image is analyzed and processed based on the image analysis terminal to obtain the target foam flotation image set, which specifically includes the following steps: Based on the image analysis terminal, the target foam flotation image is split and processed based on the time unit second, and several groups of target foam flotation images are obtained; Based on the image analysis terminal, several groups of target foam flotation images are uniquely marked with time continuity as a feature, and several groups of target foam flotation images with time information are obtained; Based on the image analysis terminal, several groups of target foam flotation pictures with time information are sorted and collected based on the time continuity feature to obtain a target foam flotation image set.

4. The flotation foam image analysis system based on pattern recognition according to claim 1, characterized in that: The image analysis terminal is used to analyze and process the area data of the flotation tank notch and the target froth flotation image set to obtain the froth density information, specifically including the following steps: Based on the image analysis terminal, the time information of the target foam flotation image is filtered and processed to determine the final foam flotation image; Based on the image analysis terminal, feature extraction and processing are performed on the final foam flotation image to obtain the foam quantity; Based on the image analysis terminal, the foam quantity and the area data of the flotation tank slot are calculated and processed to obtain the foam density information.

5. The flotation foam image analysis system based on pattern recognition according to claim 1, characterized in that: The analyzing and processing of the subset initial image and the subset final image based on the image analysis terminal to determine the foam reduction amount information specifically includes the following steps: Based on the image analysis terminal, the lower left corner of the initial image of the subset is set as the coordinate origin, the horizontal direction of the initial image of the subset is set as the X axis, and the vertical direction of the initial image of the subset is set as the Y axis to obtain a rectangular coordinate system; The image analysis terminal marks the foam positions in the initial image of the subset and the final image of the subset using a rectangular coordinate system to obtain the initial foam position and the final foam position; Based on the image analysis terminal, the final foam position is matched with the initial foam position as a feature to obtain the foam reduction information.

6. The flotation foam image analysis system based on pattern recognition according to claim 1, characterized in that: The foam density information determination module analyzes and processes the foam density information to determine the foam density level, specifically including the following steps: Based on the image analysis terminal, the foam density information and the set foam density threshold are judged and processed; If the foam density information is greater than or equal to the set first foam density threshold, the foam density level is excellent; If the foam density information is less than the set first foam density threshold, and the foam density information is greater than or equal to the set second foam density threshold, the foam density level is good; If the foam density information is less than the set second foam density threshold, the foam density level is poor.

7. The flotation foam image analysis system based on pattern recognition according to claim 1, characterized in that: The foam reduction information determination module analyzes and processes the foam reduction information to determine the foam reduction level, specifically comprising the following steps: Based on the image analysis terminal, the foam reduction information and the set foam reduction threshold are judged; If the foam reduction amount information is greater than or equal to the set first foam reduction amount threshold, the foam reduction amount level is poor; If the foam reduction amount information is less than the set first foam reduction amount threshold, and the foam reduction amount information is greater than or equal to the set second foam reduction amount threshold, the foam reduction amount level is good; If the foam reduction amount information is less than the second foam reduction amount threshold, the foam reduction amount level is excellent.

8. The flotation foam image analysis system based on pattern recognition according to claim 1, characterized in that: The foam level analysis module analyzes and processes the foam density level and the foam reduction level to determine whether the flotation reagent ratio needs to be changed. Specifically, the steps include: If the foam density grade is excellent or good, and the foam reduction grade is excellent or good, the image analysis terminal records the proportion of flotation reagent; If the foam density level is excellent or good, and the foam reduction level is poor, the image analysis terminal generates information indicating that the flotation reagent ratio needs to be changed, and the image analysis terminal sends the information indicating that the flotation reagent ratio needs to be changed to the external display terminal; If the foam density level is poor, the image analysis terminal generates information indicating that the proportion of flotation reagents needs to be changed, and the image analysis terminal sends the information indicating that the proportion of flotation reagents needs to be changed to the external display terminal.

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