Copper tailing environment-friendly treatment system and method based on electric melting furnace

Abstract

The invention relates to the technical field of environmental protection treatment, and discloses a copper tailing environmental protection treatment system and method based on an electric melting furnace, and the method comprises the following steps: obtaining a plurality of initial copper tailing images of infrared image equipment, carrying out image processing on the plurality of initial copper tailing images, establishing a dust mark on to-be-treated copper tailings based on an analysis result, the target copper tailing image is subjected to region division according to the dust marks, the dust coverage rate of the to-be-treated copper tailings is determined based on the dust region, the spraying water consumption of the to-be-treated copper tailings is determined based on the dust coverage rate, the temperature value of the to-be-treated copper tailings is obtained, and traversal is conducted in historical data according to the target copper tailing image to obtain the temperature value of the to-be-treated copper tailings. And when the adjustment coefficient corresponding to the spraying water consumption does not exist in the historical data, the adjustment coefficient of the spraying water consumption is determined according to the water consumption adjustment model, and the to-be-treated copper tailings are sprayed according to the adjusted spraying water consumption. Dust of the to-be-treated copper tailings is removed, so that the recycling rate of the to-be-treated copper tailings is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental protection treatment, and more specifically, to an environmental protection treatment system and method for copper tailings based on an electric furnace. Background Art

[0002] During the process of smelting copper in an electric furnace, solid waste (copper tailings) will be generated. The main components of copper tailings include iron, silicon, copper oxide, sulfur oxide, etc. Due to the oxidation reaction during the copper smelting process, copper tailings contain a large amount of metal oxides. Therefore, it is necessary to recycle copper tailings to avoid waste of energy and improve the utilization rate of copper tailings.

[0003] However, during the process of generating copper tailings, there is also dust generated during smelting. The dust covers the surface of the copper tailings. If it cannot be effectively washed, the dust impurities will interfere with the chemical process of recovery and extraction, thereby reducing the recovery utilization rate, which does not conform to the concept of environmental protection treatment. Currently, during the process of removing dust by spraying water on copper tailings, it is usually judged by the experience of workers to determine whether to spray, and the spraying water volume cannot be accurately controlled, resulting in incomplete removal of dust, thus affecting the recovery utilization rate of copper tailings and making it difficult to meet the environmental protection requirements for copper tailings.

[0004] Therefore, it is necessary to design an environmental protection treatment system and method for copper tailings based on an electric furnace to solve the problems existing in the current technology. Summary of the Invention

[0005] In view of this, the present invention provides an environmental protection treatment system and method for copper tailings based on an electric furnace, aiming to solve the problems that it depends on the experience of workers to judge the dust situation to determine whether to spray, and the spraying water volume cannot be accurately controlled, resulting in incomplete removal of dust, thereby affecting the recovery utilization rate of copper tailings and making it difficult to meet the environmental protection requirements for copper tailings.

[0006] On the one hand, the present invention provides an environmental protection treatment method for copper tailings based on an electric furnace, including:

[0007] Determine the copper tailings to be treated, obtain multiple initial copper tailings images of an infrared image device, and perform image processing on the multiple initial copper tailings images to determine the target copper tailings image;

[0008] Analyze the target copper tailings image, and establish a dust mark for the copper tailings to be treated based on the analysis result. Divide the target copper tailings image into regions according to the dust mark to determine the dust region of the copper tailings to be treated;

[0009] Determine the dust coverage rate of the copper tailings to be treated based on the dust area, determine the spraying water volume of the copper tailings to be treated based on the dust coverage rate, obtain the temperature value of the copper tailings to be treated, and traverse in the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water volume. When the adjustment coefficient corresponding to the spraying water volume does not exist in the historical data, determine the adjustment coefficient of the spraying water volume according to the water volume adjustment model;

[0010] Adjust the spraying water volume according to the adjustment coefficient, and spray the copper tailings to be treated according to the adjusted spraying water volume.

[0011] Further, when performing image processing on multiple initial copper tailings images to determine the target copper tailings image, it includes:

[0012] Use bilateral filtering to denoise multiple initial copper tailings images, perform geometric correction on the denoised multiple initial copper tailings images, extract and match feature points from the geometrically corrected multiple initial copper tailings images, determine the matching data between the multiple initial copper tailings images, and register and merge the geometrically corrected multiple initial copper tailings images based on the matching data to determine the result image of the copper tailings to be treated;

[0013] Perform adjustment processing on the result image. The adjustment processing includes removing the stitching seam and sharpening the image edge, and determine the target copper tailings image according to the result of the adjustment processing.

[0014] Further, when analyzing the target copper tailings image and establishing a dust mark for the copper tailings to be treated based on the analysis result, it includes:

[0015] Use the contour detection algorithm to determine the tailings shape of the copper tailings to be treated according to the target copper tailings image, and obtain the qualified target copper tailings image corresponding to the tailings shape;

[0016] Extract all the pixels to be processed corresponding to the target copper tailings image, extract all the qualified pixels corresponding to the pixels to be processed from the qualified target copper tailings image, determine the gray values to be processed corresponding to all the pixels to be processed, and determine the qualified gray values corresponding to all the qualified pixels;

[0017] Divide the target copper tailings image into multiple tailings areas. The dust mark includes a dust first mark, a dust second mark, and a dust standard mark;

[0018] When the gray values to be processed in the tailings area are all equal to the qualified gray values, generate the dust standard mark for this tailings area;

[0019] When all the grayscale values to be processed in the tailings residue area are not equal to the qualified grayscale value, the first dust imprint is generated for the tailings residue area.

[0020] When one or more of the grayscale values to be processed in the tailings residue area are not equal to the qualified grayscale value, the second dust imprint is generated for the tailings residue area.

[0021] Further, when dividing the target copper tailings residue image into regions according to the dust imprint to determine the dust region of the copper tailings residue to be processed, it includes:

[0022] Removing the tailings residue area where the dust standard imprint is established, and taking the remaining tailings residue area as the dust region of the copper tailings residue to be processed.

[0023] Further, when determining the dust coverage rate of the copper tailings residue to be processed based on the dust region, it includes:

[0024]

[0025] Where S represents the dust coverage rate, α and β represent weight coefficients, and α + β = 1, m represents the number of grayscale values to be processed in the tailings residue area of the first dust imprint, n represents the number of grayscale values to be processed in the tailings residue area of the second dust imprint, and p represents the number of grayscale values to be processed in the tailings residue area of the dust standard imprint.

[0026] Further, when determining the spraying water volume of the copper tailings residue to be processed based on the dust coverage rate, it includes:

[0027] Presetting a first preset dust coverage rate and a second preset dust coverage rate, where the first preset dust coverage rate is greater than the second preset dust coverage rate;

[0028] Presetting a first preset spraying water volume, a second preset spraying water volume, and a third preset spraying water volume, where the first preset spraying water volume is greater than the second preset spraying water volume, and the second preset spraying water volume is greater than the third preset spraying water volume;

[0029] When the dust coverage rate is greater than the first preset dust coverage rate, taking the first preset spraying water volume as the spraying water volume of the copper tailings residue to be processed;

[0030] When the dust coverage rate is less than or equal to the first preset dust coverage rate and greater than the second preset dust coverage rate, taking the second preset spraying water volume as the spraying water volume of the copper tailings residue to be processed;

[0031] When the dust coverage rate is less than or equal to the second preset dust coverage rate, taking the third preset spraying water volume as the spraying water volume of the copper tailings residue to be processed.

[0032] Further, when obtaining the temperature value of the copper tailings to be processed and traversing the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water consumption, it includes:

[0033] Traverse the historical data according to the tailings shape, the temperature value and the dust coverage rate to find the adjustment coefficient of the spraying water consumption;

[0034] The historical data includes historical tailings shape, historical temperature value, historical dust coverage rate and historical adjustment coefficient, and the historical tailings shape, the historical tailings shape, the historical tailings shape and the historical adjustment coefficient correspond one by one;

[0035] When there are corresponding historical tailings shape, historical temperature value and historical dust coverage rate in the historical data for the tailings shape, the temperature value and the dust coverage rate, the historical adjustment coefficient corresponding to the data is used as the adjustment coefficient of the spraying water consumption.

[0036] Further, when determining the adjustment coefficient of the spraying water consumption according to the water volume adjustment model, it includes:

[0037] Divide the historical data into a training set and a test set, pre-select a random forest model, train the random forest model according to the training set, evaluate the trained random forest model according to the test set, and when the evaluation value reaches the preset evaluation value threshold, the trained random forest model is used as the water volume adjustment model;

[0038] Substitute the tailings shape, the temperature value and the dust coverage rate into the water volume adjustment model to determine the adjustment coefficient of the spraying water consumption.

[0039] Further, when adjusting the spraying water consumption according to the adjustment coefficient, it includes:

[0040] The spraying water consumption is in a proportional relationship with the adjustment coefficient.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows: By using multiple initial copper tailings slag images of an infrared image device and adopting image processing technology to determine the target copper tailings slag image, the accuracy of analyzing and processing the copper tailings slag to be treated is improved, which helps to improve the recognition accuracy of the dust area, establish a dust mark for the copper tailings slag to be treated, effectively identify the dust area of the copper tailings slag to be treated, thereby improving the accuracy of determining the spraying water volume for the dust area, enhancing the efficiency and pertinence of environmental protection treatment, determining the spraying water volume according to the dust coverage rate, avoiding the error of determining dust by relying on human experience and the waste of water resources, while ensuring the dust removal effect, improving the efficiency of resource utilization, traversing historical data to find the adjustment coefficient of the spraying water volume, and when the historical data cannot meet the requirements, using a water volume adjustment model for compensation calculation to avoid the water volume volatilization caused by temperature and its own factors, resulting in insufficient dust treatment, enhancing the adaptive ability and stability of the spraying water volume, thereby reducing the need for manual intervention, ensuring the efficiency of dust removal, and further enhancing the recycling rate of the copper tailings slag to be treated.

[0042] On the other hand, the present application also provides a copper tailings slag environmental protection treatment system based on an electric furnace, which is applied to the above-mentioned copper tailings slag environmental protection treatment method based on an electric furnace, and includes:

[0043] Acquisition module: Determine the copper tailings slag to be treated, obtain multiple initial copper tailings slag images of an infrared image device, and perform image processing on the multiple initial copper tailings slag images to determine the target copper tailings slag image;

[0044] Analysis module: Analyze the target copper tailings slag image, establish a dust mark for the copper tailings slag to be treated based on the analysis result, divide the target copper tailings slag image into regions according to the dust mark, and determine the dust area of the copper tailings slag to be treated;

[0045] Processing module: Determine the dust coverage rate of the copper tailings slag to be treated based on the dust area, determine the spraying water volume of the copper tailings slag to be treated based on the dust coverage rate, obtain the temperature value of the copper tailings slag to be treated, and traverse the historical data according to the target copper tailings slag image to find the adjustment coefficient of the spraying water volume. When the adjustment coefficient corresponding to the spraying water volume does not exist in the historical data, determine the adjustment coefficient of the spraying water volume according to the water volume adjustment model;

[0046] Adjustment module: Adjust the spraying water volume according to the adjustment coefficient, and spray the copper tailings slag to be treated according to the adjusted spraying water volume.

[0047] It can be understood that the above-mentioned copper tailings slag environmental protection treatment system and method based on an electric furnace have the same beneficial effects, which will not be elaborated here. Brief Description of the Drawings

[0048] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only for the purpose of showing the preferred embodiments and are not considered as a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0049] Figure 1 It is a flowchart of an environmentally friendly treatment method for copper tailings based on an electric furnace provided by an embodiment of the present invention;

[0050] Figure 2 It is a functional block diagram of an environmentally friendly treatment system for copper tailings based on an electric furnace provided by an embodiment of the present invention. Specific Embodiments

[0051] The following will describe the exemplary embodiments of the present disclosure in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0052] In some embodiments of the present application, referring to Figure 1 as shown, an environmentally friendly treatment method for copper tailings based on an electric furnace includes:

[0053] S100: Determine the copper tailings to be treated, obtain multiple initial copper tailings images of an infrared image device, and perform image processing on the multiple initial copper tailings images to determine the target copper tailings image.

[0054] S200: Analyze the target copper tailings image, establish a dust mark for the copper tailings to be treated based on the analysis result, divide the target copper tailings image according to the dust mark, and determine the dust area of the copper tailings to be treated.

[0055] S300: Determine the dust coverage rate of the copper tailings to be treated based on the dust area, determine the spraying water consumption of the copper tailings to be treated based on the dust coverage rate, obtain the temperature value of the copper tailings to be treated, and traverse in the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water consumption. When there is no adjustment coefficient corresponding to the spraying water consumption in the historical data, determine the adjustment coefficient of the spraying water consumption according to the water volume adjustment model.

[0056] S400: Adjust the water spraying amount according to the adjustment coefficient, and spray the copper tailings to be treated according to the adjusted water spraying amount.

[0057] Specifically, use an infrared image device to collect multiple initial copper tailings images. Compared with other image collection devices, the infrared image device can capture the initial copper tailings images of the copper tailings to be treated in a high-temperature environment, avoiding the influence of temperature on the image quality of the images. By performing image processing on the collected multiple initial copper tailings images, such as noise removal and geometric correction, the image quality of the target copper tailings image can be improved. After obtaining the target copper tailings image, further analyze its characteristics, and establish a dust imprint according to the dust distribution of the copper tailings to be treated. The dust imprint refers to the imprint of the recognition area formed by the dust on the surface of the copper tailings. According to the dust imprint, the target copper tailings image is further divided into areas, including high dust concentration areas, low dust concentration areas, and dust-free areas, so as to clarify the dust areas of the copper tailings to be treated, providing a basis for subsequent spraying treatment. Calculate the dust coverage rate for the dust areas. The higher the dust coverage rate, the more serious the dust pollution degree, and more water spraying amount is required to spray the copper tailings to be treated. Since the water spraying amount is only determined for the dust areas, different degrees of water volatilization will occur during the spraying process due to the shape of the tailings and the surface temperature of the copper tailings to be treated, thus affecting the treatment of the dust areas. To avoid insufficient water spraying amount, traverse the historical data according to the target copper tailings image to find the adjustment coefficient of the water spraying amount. When there is no corresponding adjustment coefficient in the historical data, dynamically calculate the appropriate adjustment coefficient according to the water volume adjustment model. Finally, spray water accurately on the copper tailings to be treated according to the adjusted water spraying amount, ensuring that the water volume accurately covers the dust areas, so as to achieve the dust suppression effect on the copper tailings to be treated, and further improve the reliability and stability of the recycling treatment of the copper tailings to be treated.

[0058] It can be understood that by traversing the historical data and determining the adjustment coefficient through the water volume adjustment model, the water spraying amount can be adjusted adaptively. With the accumulation and continuous optimization of historical data, the intelligence and automation degree of the adjustment process are improved, avoiding the error caused by traditional manual judgment resulting in insufficient water spraying amount, which in turn affects the dust flushing inadequately and thus the efficiency of the recycling treatment of the copper tailings to be treated. By analyzing the target copper tailings image and delimiting the dust areas, dynamically determining the water spraying amount and adjusting it not only effectively removes the dust but also improves the reliability of the recycling treatment of the copper tailings to be treated.

[0059] In some embodiments of the present application, when performing image processing on multiple initial copper tailings slag images to determine the target copper tailings slag image, it includes: denoising the multiple initial copper tailings slag images by using bilateral filtering, performing geometric correction on the denoised multiple initial copper tailings slag images, extracting and matching feature points from the geometrically corrected multiple initial copper tailings slag images to determine the matching data between the multiple initial copper tailings slag images, registering and merging the geometrically corrected multiple initial copper tailings slag images based on the matching data to determine the result image of the copper tailings slag to be processed, performing adjustment processing on the result image, the adjustment processing includes removing the stitching seam and sharpening the image edge, and determining the target copper tailings slag image according to the result of the adjustment processing.

[0060] Specifically, denoising the multiple initial copper tailings slag images by using bilateral filtering effectively removes the random noise in the images, improves the visual effect and quality of the images, and helps the subsequent extraction and matching of feature points. Geometric correction is used to correct the image distortion caused by the angle of the infrared image device, perspective distortion, etc., so that all images can be analyzed in the same coordinate system, ensuring the consistency and accuracy of the images, enabling accurate alignment of multiple initial copper tailings slag images taken at different angles. Feature points are extracted by SIFT (Scale-Invariant Feature Transform), and the RANSAC algorithm is used to match the extracted feature points to determine the matching data between the multiple initial copper tailings slag images. The matching data includes the relative position and rotation relationship between the images. Based on the matching data, affine transformation is used to register the geometrically corrected multiple initial copper tailings slag images to eliminate factors such as translation, rotation, and deformation caused by different shooting angles between the initial copper tailings slag images, and multi-band fusion is used to merge the registered multiple initial copper tailings slag images to further determine the result image. Since there may be stitching seams in the result image after merging multiple initial copper tailings slag images, removing the stitching seams and sharpening the image edge improves the overall visual effect and stitching quality of the target copper tailings slag image, providing a reliable basis for subsequent determination of the dust area.

[0061] In some embodiments of the application, when analyzing the target copper tailing slag image and establishing a dust mark for the copper tailing slag to be processed based on the analysis result, it includes: determining the tailing slag shape of the copper tailing slag to be processed by using a contour detection algorithm according to the target copper tailing slag image, obtaining a qualified target copper tailing slag image corresponding to the tailing slag shape, extracting all the pixels to be processed corresponding to the target copper tailing slag image, and extracting all the qualified pixels corresponding to the pixels to be processed from the qualified target copper tailing slag image, determining the gray values to be processed corresponding to all the pixels to be processed, determining the qualified gray values corresponding to all the qualified pixels, dividing the target copper tailing slag image into multiple tailing slag regions, the dust mark includes a dust first mark, a dust second mark and a dust standard mark. When the gray values to be processed in the tailing slag region are all equal to the qualified gray values, a dust standard mark is generated for this tailing slag region. When the gray values to be processed in the tailing slag region are all not equal to the qualified gray values, a dust first mark is generated for this tailing slag region. When there is one or more gray values to be processed in the tailing slag region that are not equal to the qualified gray values, a dust second mark is generated for this tailing slag region.

[0062] In some embodiments of the present application, when dividing the target copper tailing slag image into regions according to the dust mark and determining the dust region of the copper tailing slag to be processed, it includes: removing the tailing slag region where the dust standard mark is established, and taking the remaining tailing slag regions as the dust regions of the copper tailing slag to be processed.

[0063] Specifically, the contour detection algorithm is used to determine the tailing slag shape of the copper tailing slag to be processed according to the target copper tailing slag image. The contour detection algorithm ensures the accurate recognition of the shape of the copper tailing slag. The qualified target copper tailing slag image is obtained from the copper tailing slag with the same tailing slag shape and no dust. The pixels to be processed and the qualified pixels correspond one by one, ensuring that the gray values to be processed and the qualified gray values correspond one by one. The number of tailing slag regions is preferably 30, which can be adjusted according to the actual tailing slag shape. When the gray values to be processed in the tailing slag region are all equal to the qualified gray values, it indicates that there is no dust in this tailing slag region, and the established dust standard mark indicates that this region belongs to the dust-free area. When the gray values to be processed in the tailing slag region are all not equal to the qualified gray values, it indicates that this tailing slag region is all dust, and the established dust first mark indicates that this region belongs to the high dust concentration area. When there is one or more gray values to be processed in the tailing slag region that are not equal to the qualified gray values, it indicates that this tailing slag region is not all dust, and a part of the region is dust-free. The established dust second mark indicates that this region belongs to the low dust concentration area. By removing the tailing slag region where the dust standard mark is established and taking the remaining tailing slag regions as the dust regions of the copper tailing slag to be processed, it avoids the waste of resources for spraying all the tailing slag regions and reduces the cost of environmental protection treatment of the copper tailing slag to be processed.

[0064] In some embodiments of the present application, when determining the dust coverage rate of the copper tailing slag to be processed based on the dust region, it includes:

[0065]

[0066] Among them, S represents the dust coverage rate, α and β represent the weight coefficients, and α + β = 1. m represents the number of gray-scale values to be processed in the tail residue area of the first dust mark, n represents the number of gray-scale values to be processed in the tail residue area of the second dust mark, and p represents the number of gray-scale values to be processed in the tail residue area of the standard dust mark.

[0067] In some embodiments of the present application, when determining the spraying water volume of the copper tail residue to be processed based on the dust coverage rate, it includes: presetting a first preset dust coverage rate and a second preset dust coverage rate, the first preset dust coverage rate being greater than the second preset dust coverage rate, presetting a first preset spraying water volume, a second preset spraying water volume, and a third preset spraying water volume, the first preset spraying water volume being greater than the second preset spraying water volume, and the second preset spraying water volume being greater than the third preset spraying water volume. When the dust coverage rate is greater than the first preset dust coverage rate, the first preset spraying water volume is used as the spraying water volume of the copper tail residue to be processed. When the dust coverage rate is less than or equal to the first preset dust coverage rate and greater than the second preset dust coverage rate, the second preset spraying water volume is used as the spraying water volume of the copper tail residue to be processed. When the dust coverage rate is less than or equal to the second preset dust coverage rate, the third preset spraying water volume is used as the spraying water volume of the copper tail residue to be processed.

[0068] Specifically, weighted calculation based on the number of gray-scale values to be processed in the first dust mark and the second dust mark reflects the distribution of dust in different dust areas, ensuring that the calculation of the dust coverage rate conforms to the actual situation, rather than simply relying on the number of gray-scale values, thereby accurately evaluating the dust pollution degree of the copper tail residue to be processed and improving the accuracy of determining the spraying water volume. Presetting a first preset dust coverage rate and a second preset dust coverage rate, the first preset dust coverage rate is preferably 80%, and the second preset dust coverage rate is preferably 60%. By comparing the dust coverage rate with the first preset dust coverage rate and the second preset dust coverage rate, dynamically selecting the first preset spraying water volume, the second preset spraying water volume, and the third preset spraying water volume ensures the dust removal effect on the copper tail residue to be processed, avoids the error of determining the spraying water volume by human experience, improves the matching accuracy of the preset spraying water volume and the dust pollution degree, and enhances the intelligent level and automation degree of the environmental protection treatment of the copper tail residue to be processed.

[0069] In some embodiments of the present application, when obtaining the temperature value of the copper tailings to be processed and traversing the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water consumption, it includes: traversing the historical data according to the tailings shape, temperature value and dust coverage rate to find the adjustment coefficient of the spraying water consumption. The historical data includes historical tailings shape, historical temperature value, historical dust coverage rate and historical adjustment coefficient, and the historical tailings shape, historical tailings shape, historical tailings shape and historical adjustment coefficient correspond one by one. When there are corresponding historical tailings shape, historical temperature value and historical dust coverage rate in the historical data for the tailings shape, temperature value and dust coverage rate, the historical adjustment coefficient corresponding to the data is used as the adjustment coefficient of the spraying water consumption.

[0070] Specifically, by traversing the historical data and finding the most matching historical adjustment coefficient based on the tailings shape, temperature value and dust coverage rate, the accuracy of the adjustment of the spraying water consumption is ensured. When the historical tailings shape, historical temperature value and historical dust coverage rate consistent with the copper tailings to be processed are found, the historical adjustment coefficient corresponding to the data can be directly used as the adjustment coefficient of the spraying water consumption, thus ensuring the reliability and consistency of the adjustment operation. By comprehensively using a large amount of historical data, rich reference information is provided for the determination of the adjustment coefficient, and data can be continuously accumulated after each adjustment to ensure the comprehensiveness of the historical data, thereby continuously improving the operation accuracy and efficiency, ensuring the adaptive adjustment of the spraying water consumption, improving the dust removal effect of the copper tailings to be processed, and further ensuring the reliability and stability of the recycling of the copper tailings to be processed.

[0071] In some embodiments of the present application, when determining the adjustment coefficient of the spraying water consumption according to the water volume adjustment model, it includes: dividing the historical data into a training set and a test set, pre-selecting a random forest model, training the random forest model according to the training set, evaluating the trained random forest model according to the test set. When the evaluation value reaches the preset evaluation value threshold, the trained random forest model is used as the water volume adjustment model, and the tailings shape, temperature value and dust coverage rate are substituted into the water volume adjustment model to determine the adjustment coefficient of the spraying water consumption.

[0072] Specifically, the historical data contains all the data of different copper tailings to be processed in different periods. These data record the spraying conditions of the copper tailings in the electric furnace at different time periods. The historical data is divided into a training set and a test set. Usually, 60%-80% of the data is used as the training set, and the rest is used as the test set. Ensure that both the training set and the test set contain data of various conditions to improve the generalization ability of the random forest model. The training set is used to train the random forest model, while the test set is used to evaluate the performance of the trained model. The random forest integrates multiple decision trees and averages the prediction results of multiple trees, aiming to capture the complex relationships in the data. The data in the training set is used to train the random forest model. During the training process, the model will try to learn the patterns and relationships in the data to improve its prediction or classification ability, which helps the model stably approach the global optimal solution. After training, the data in the test set is used to evaluate the model. The evaluation metrics include accuracy, loss function value, recall rate, etc., which are used to measure the performance of the model. When the evaluation value reaches the preset evaluation value threshold, it is considered that the model has reached a satisfactory performance level. The trained random forest model is used as the water volume adjustment model, and the water volume adjustment model can accurately output the adjustment coefficient.

[0073] It can be understood that using historical data to train the random forest model can make full use of the data relationships and data patterns in the historical data to improve the prediction ability of the model. In the process of model training and evaluation, by learning the data and evaluating the model performance, a prediction model (water volume adjustment model) that can stably predict and is close to the global optimal solution is finally obtained, so as to predict the shape, temperature value, and dust coverage rate of the substituted tailings and provide an accurate output adjustment coefficient. This not only improves the accuracy of adjusting the spraying water volume but also effectively removes the dust of the copper tailings to be processed, enhancing the reliability and stability of the recycling and utilization of the copper tailings to be processed.

[0074] In some embodiments of the present application, when adjusting the spraying water volume according to the adjustment coefficient, it includes: the spraying water volume is directly proportional to the adjustment coefficient.

[0075] Specifically, when adjusting the spraying water volume according to the adjustment coefficient, assuming the spraying water volume is R and the adjustment coefficient is E, it is determined that the adjusted spraying water volume is R*E. When a higher spraying water volume is required, adjusting the spraying water volume according to the adjustment coefficient realizes precise control of the spraying water volume during the spraying process. By using the corresponding historical adjustment coefficient in the historical data as the adjustment coefficient of the spraying water volume or using the water volume adjustment model to determine the adjustment coefficient, the control accuracy of the spraying water volume is improved, ensuring the dust removal effect of the copper tailings to be processed, and further enhancing the recycling rate of the copper tailings to be processed.

[0076] In summary, the beneficial effects of the present invention are as follows: By using multiple initial copper tailings images from an infrared imaging device and applying image processing techniques to determine the target copper tailings image, the accuracy of analyzing and processing the copper tailings to be treated is improved, which helps to improve the recognition accuracy of the dust area. A dust imprint is established for the copper tailings to be treated, effectively identifying the dust area of the copper tailings to be treated. Thus, the accuracy of determining the spraying water volume for the dust area is improved, enhancing the efficiency and pertinence of environmental protection treatment. Determining the spraying water volume based on the dust coverage rate avoids the errors in determining dust by relying on human experience and the waste of water resources, while ensuring the dust removal effect and improving the resource utilization efficiency. By traversing historical data to find the adjustment coefficient of the spraying water volume, and in the case where the historical data is insufficient, a water volume adjustment model is used for compensation calculation to avoid the water volume volatilization caused by temperature and its own factors, resulting in insufficient dust treatment, enhancing the adaptive ability and stability of the spraying water volume, thereby reducing the need for manual intervention, ensuring the efficiency of dust removal, and further improving the recycling rate of the copper tailings to be treated.

[0077] In another preferred embodiment based on the above embodiment, refer to Figure 2 As shown, this embodiment provides a copper tailings environmental protection treatment system based on an electric furnace, which is applied to the above-mentioned copper tailings environmental protection treatment method based on an electric furnace, and includes:

[0078] Collection module: Determine the copper tailings to be treated, obtain multiple initial copper tailings images from an infrared imaging device, and perform image processing on the multiple initial copper tailings images to determine the target copper tailings image.

[0079] Analysis module: Analyze the target copper tailings image, establish a dust imprint for the copper tailings to be treated based on the analysis result, divide the target copper tailings image into regions according to the dust imprint, and determine the dust area of the copper tailings to be treated.

[0080] Processing module: Determine the dust coverage rate of the copper tailings to be treated based on the dust area, determine the spraying water volume of the copper tailings to be treated based on the dust coverage rate, obtain the temperature value of the copper tailings to be treated, and traverse the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water volume. When the adjustment coefficient corresponding to the spraying water volume does not exist in the historical data, determine the adjustment coefficient of the spraying water volume according to the water volume adjustment model.

[0081] Adjustment module: Adjust the spraying water volume according to the adjustment coefficient, and spray the copper tailings to be treated according to the adjusted spraying water volume.

[0082] Specifically, the acquisition module is responsible for obtaining multiple initial copper tailing slag images of the copper tailing slag to be processed. These images show the overall morphology of the copper tailing slag to be processed. Due to the interference of noise and distortion in the initial copper tailing slag images, the acquisition module performs image processing on the multiple initial copper tailing slag images to eliminate factors such as noise in the images, thereby improving the image quality of the target copper tailing slag image. The analysis module then analyzes the target copper tailing slag image, establishes a dust imprint for the copper tailing slag to be processed, and divides the target copper tailing slag image into different regions, and then determines the dust region of the copper tailing slag to be processed, so that the dust removal of the copper tailing slag to be processed is only targeted at the dust region, avoiding resource waste caused by counting other regions. In the processing module, based on the dust region identified by the analysis module, the dust coverage rate of the copper tailing slag to be processed is calculated, and the spraying water volume is determined according to the dust coverage rate. When spraying is required, due to the heat and morphology of the copper tailing slag to be processed itself, a certain amount of water will volatilize. The adjustment coefficient that best matches the current conditions is found through historical data, ensuring the consistency and reliability of the adjustment. When there is no matching adjustment coefficient in the historical data, the adjustment coefficient of the spraying water volume is determined through the water volume adjustment model. The adjustment module is responsible for adjusting the spraying water volume with the determined adjustment coefficient, ensuring the dust removal effect of the copper tailing slag to be processed, and thus improving the recycling rate of the copper tailing slag to be processed.

[0083] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 a block or multiple blocks.

[0085] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one process Figure 1 one process or a plurality of processes and / or blocks Figure 1 in the block or blocks specified.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one process Figure 1 one process or a plurality of processes and / or blocks Figure 1 in the block or blocks specified.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific implementation manners of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. An environmentally friendly treatment method for copper tailings based on an electric melting furnace, characterized in that, Including: Determine the copper tailings to be processed, obtain multiple initial copper tailings images of the infrared image device, perform image processing on the multiple initial copper tailings images, and determine the target copper tailings image; Analyze the target copper tailings image, establish a dust mark for the copper tailings to be processed based on the analysis result, divide the target copper tailings image according to the dust mark, and determine the dust area of the copper tailings to be processed; Determine the dust coverage rate of the copper tailings to be processed based on the dust area, determine the spraying water consumption of the copper tailings to be processed based on the dust coverage rate, obtain the temperature value of the copper tailings to be processed, and traverse in the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water consumption. When the adjustment coefficient corresponding to the spraying water consumption does not exist in the historical data, determine the adjustment coefficient of the spraying water consumption according to the water volume adjustment model; Adjust the spraying water consumption according to the adjustment coefficient, and spray the copper tailings to be processed according to the adjusted spraying water consumption.

2. The environmentally friendly treatment method for copper tailings based on an electric furnace according to claim 1, characterized in that When performing image processing on multiple initial copper tailings images to determine the target copper tailings image, it includes: Use bilateral filtering to denoise multiple initial copper tailings images, perform geometric correction on the denoised multiple initial copper tailings images, extract and match feature points of the geometrically corrected multiple initial copper tailings images, determine the matching data between the multiple initial copper tailings images, register and merge the geometrically corrected multiple initial copper tailings images based on the matching data, and determine the result image of the copper tailings to be processed; Perform adjustment processing on the result image. The adjustment processing includes removing the stitching seam and sharpening the image edge, and determine the target copper tailings image according to the result of the adjustment processing.

3. The environmentally friendly treatment method for copper tailings based on an electric furnace according to claim 2, characterized in that, When analyzing the target copper tailings image and establishing a dust mark for the copper tailings to be processed based on the analysis result, it includes: Determine the shape of the tailings of the copper tailings to be processed using a contour detection algorithm according to the target copper tailings image, and obtain a qualified target copper tailings image corresponding to the tailings shape; Extract all the pixels to be processed corresponding to the target copper tailings image, extract all the qualified pixels corresponding to the pixels to be processed from the qualified target copper tailings image, determine the gray values to be processed corresponding to all the pixels to be processed, and determine the qualified gray values corresponding to all the qualified pixels; Divide the target copper tailings image into multiple tailings areas. The dust mark includes a dust first mark, a dust second mark, and a dust standard mark; When the gray values to be processed in the tailings area are all equal to the qualified gray values, generate the dust standard mark for this tailings area; When the gray values to be processed in the tailings area are all not equal to the qualified gray values, generate the dust first mark for this tailings area; When there is one or more gray values to be processed in the tailings area that are not equal to the qualified gray values, generate the dust second mark for this tailings area.

4. The environmentally friendly treatment method for copper tailings slag based on an electric furnace according to claim 3, wherein, When dividing the target copper tailings image according to the dust mark to determine the dust area of the copper tailings to be processed, it includes: Remove the tailing slag area where the dust standard mark is established, and use the remaining tailing slag area as the dust area of the copper tailings to be treated.

5. The environmentally friendly treatment method for copper tailings based on an electric furnace according to claim 4, characterized in that, When determining the dust coverage rate of the copper tailings to be treated based on the dust area, it includes: Where S represents the dust coverage rate, α and β represent weight coefficients, and α + β = 1, m represents the number of gray values to be processed in the tailing slag area of the first dust mark, n represents the number of gray values to be processed in the tailing slag area of the second dust mark, and p represents the number of gray values to be processed in the tailing slag area of the dust standard mark.

6. The environmentally friendly treatment method for copper tailings based on an electric furnace according to claim 5, wherein When determining the spraying water consumption of the copper tailings to be treated based on the dust coverage rate, it includes: Preset a first preset dust coverage rate and a second preset dust coverage rate, where the first preset dust coverage rate is greater than the second preset dust coverage rate; Preset a first preset spraying water consumption, a second preset spraying water consumption, and a third preset spraying water consumption, where the first preset spraying water consumption is greater than the second preset spraying water consumption, and the second preset spraying water consumption is greater than the third preset spraying water consumption; When the dust coverage rate is greater than the first preset dust coverage rate, use the first preset spraying water consumption as the spraying water consumption of the copper tailings to be treated; When the dust coverage rate is less than or equal to the first preset dust coverage rate and greater than the second preset dust coverage rate, use the second preset spraying water consumption as the spraying water consumption of the copper tailings to be treated; When the dust coverage rate is less than or equal to the second preset dust coverage rate, use the third preset spraying water consumption as the spraying water consumption of the copper tailings to be treated.

7. The environmentally friendly treatment method for copper tailings slag based on an electric furnace according to claim 6, characterized in that, When obtaining the temperature value of the copper tailings to be treated and traversing in the historical data according to the target copper tailings image to find the adjustment coefficient of the spraying water consumption, it includes: Traverse in the historical data according to the tailing slag shape, the temperature value, and the dust coverage rate to find the adjustment coefficient of the spraying water consumption; The historical data includes historical tailing slag shape, historical temperature value, historical dust coverage rate, and historical adjustment coefficient, and the historical tailing slag shape, the historical tailing slag shape, the historical tailing slag shape, and the historical adjustment coefficient correspond one by one; When there are corresponding historical tailing slag shape, historical temperature value, and historical dust coverage rate in the historical data for the tailing slag shape, the temperature value, and the dust coverage rate, use the historical adjustment coefficient corresponding to the data as the adjustment coefficient of the spraying water consumption.

8. The environmentally friendly treatment method for copper tailings based on an electric furnace according to claim 7, characterized in that, When determining the adjustment coefficient of the spraying water consumption according to the water volume adjustment model, it includes: Divide the historical data into a training set and a test set, pre-select a random forest model, train the random forest model according to the training set, evaluate the trained random forest model according to the test set, and when the evaluation value reaches the preset evaluation value threshold, use the trained random forest model as the water volume adjustment model; Substitute the tailing slag shape, the temperature value, and the dust coverage rate into the water volume adjustment model to determine the adjustment coefficient of the spraying water consumption.

9. The environmentally friendly treatment method for copper tailings slag based on an electric furnace according to claim 8, characterized in that, When adjusting the spraying water consumption according to the adjustment coefficient, it includes: The water consumption for spraying is directly proportional to the adjustment coefficient.

10. An environmentally friendly treatment system for copper tailings slag based on an electric furnace, which is applied to the environmentally friendly treatment method for copper tailings slag based on an electric furnace according to any one of claims 1-9, characterized in that, It includes: Collection module: Determine the copper tailings to be processed, obtain multiple initial copper tailings images of the infrared image device, perform image processing on the multiple initial copper tailings images, and determine the target copper tailings image; Analysis module: Analyze the target copper tailings image, establish a dust mark for the copper tailings to be processed based on the analysis result, divide the target copper tailings image into regions according to the dust mark, and determine the dust region of the copper tailings to be processed; Processing module: Determine the dust coverage rate of the copper tailings to be processed based on the dust region, determine the water consumption for spraying the copper tailings to be processed based on the dust coverage rate, obtain the temperature value of the copper tailings to be processed, and traverse in the historical data according to the target copper tailings image to find the adjustment coefficient of the water consumption for spraying. When the adjustment coefficient corresponding to the water consumption for spraying does not exist in the historical data, determine the adjustment coefficient of the water consumption for spraying according to the water volume adjustment model; Adjustment module: Adjust the water consumption for spraying according to the adjustment coefficient, and spray the copper tailings to be processed according to the adjusted water consumption for spraying.

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