Energy-saving control method and equipment for de-ironing separator of thermal power plant

Abstract

The invention relates to the technical field of thermal power plant iron removers, and discloses an energy-saving control method and equipment for a thermal power plant iron remover, and the method comprises the steps: collecting a multi-angle coal surface image of a coal surface based on a pre-deployed image collection device, and determining a coal surface impurity image; extracting a plurality of iron impurity region images on the coal surface impurity image, determining iron impurity pixel values, and calculating iron impurity region image coefficients; fitting an iron impurity area image coefficient curve according to all the iron impurity area image coefficients, and calculating an iron impurity comprehensive image coefficient of the coal; the current control strategy of the iron remover is collected, the current control strategy is regulated and controlled based on the iron impurity comprehensive image coefficient, the energy-saving control strategy of the iron remover is obtained, the current control strategy comprises working power and working time, and accurate iron removal and energy-saving operation are achieved by intelligently adjusting the iron remover control strategy through the iron impurity comprehensive image coefficient. Manual intervention is not needed, operation and maintenance cost is reduced, operation errors are eliminated, and the energy-saving requirement of a thermal power plant is met.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic separators in thermal power plants, and more particularly, to an energy-saving control method and device for electromagnetic separators in thermal power plants. Background Art

[0002] During the power generation process in a thermal power plant, coal is the main fuel source. However, due to the influence of mining, transportation and other links, coal often contains some metal iron substances and iron oxide impurities. If these metal impurities are not removed in time, they will enter the coal conveying system along with the coal, and then cause serious damage to subsequent equipment such as coal mills and boilers, affect the normal operation of the equipment, reduce the service life of the equipment, and even may cause safety accidents. To effectively solve this problem, electromagnetic separators have been developed. The electromagnetic separators are used to remove iron impurities in coal to protect subsequent equipment (such as coal mills, conveyor belts, etc.) from damage and improve combustion efficiency.

[0003] Traditional electromagnetic separators in thermal power plants mostly adopt manual or relay automatic control methods, which have obvious limitations. Manual control relies on manual real-time monitoring, with high labor intensity and easy operation errors, resulting in unstable electromagnetic separation effects and inability to ensure energy-saving effects; while the relay-based automatic control reduces the manual burden, but lacks intelligent adjustment capabilities. Although existing energy-saving control methods consider energy consumption issues, they generally lack real-time and accurate monitoring of iron impurities in coal quality, resulting in the inability of electromagnetic separators to dynamically adjust working parameters according to actual working conditions, which not only affects the electromagnetic separation efficiency but also causes energy waste. This control mode is difficult to meet the requirements of refined and intelligent operation of modern thermal power plants. Summary of the Invention

[0004] Embodiments of the present invention provide an energy-saving control method and device for electromagnetic separators in thermal power plants. By real-time monitoring of iron impurities and intelligent adjustment of the working parameters of the electromagnetic separator, accurate electromagnetic separation and energy-saving operation are achieved, without manual intervention, significantly reducing the operation and maintenance costs, eliminating operation errors, and meeting the energy-saving requirements of thermal power plants.

[0005] To achieve the above object, the present invention provides an energy-saving control method for electromagnetic separators in thermal power plants, including: Collecting multi-angle coal surface images of the coal surface based on pre-deployed image acquisition devices, and performing image processing on all the multi-angle coal surface images to determine a coal surface impurity image corresponding to the coal; Extracting multiple iron impurity region images on the coal surface impurity image, determining iron impurity pixel values corresponding to each iron impurity region image, and calculating an iron impurity region image coefficient corresponding to the iron impurity region image according to all the iron impurity pixel values; Determine the iron impurity region image coefficients corresponding to each iron impurity region image, fit an iron impurity region image coefficient curve based on all the iron impurity region image coefficients, and calculate the comprehensive iron impurity image coefficient of the coal based on the iron impurity region image coefficient curve; Collect the current control strategy of the iron remover, and perform energy-saving regulation on the current control strategy based on the comprehensive iron impurity image coefficient to obtain the energy-saving control strategy of the iron remover, where the current control strategy includes working power and working time.

[0006] Further, when collecting multi-angle coal surface images on the surface of coal based on pre-deployed image acquisition devices and performing image processing on all the multi-angle coal surface images to determine the coal surface impurity image corresponding to the coal, it includes: Collect multi-angle coal surface images on the surface of coal, where the multi-angle coal surface images include three angles in the horizontal direction and two angles in the vertical direction, and each multi-angle coal surface image has the same resolution; Preprocess the obtained multi-angle coal surface images, and the preprocessing includes removing image noise, correcting image distortion, adjusting image brightness and contrast; For the preprocessed multi-angle coal surface images, extract image feature points, and the image feature points include at least two of corner points, edge points, and texture feature points; According to the extracted image feature points, generate corresponding feature descriptors for each multi-angle coal surface image, and the feature descriptors are used to describe the attribute information of the feature points; Select one preprocessed multi-angle coal surface image as a reference image, and register the remaining multi-angle coal surface images with the reference image; According to the registration result, establish a coordinate transformation relationship between each multi-angle coal surface image and the reference image, and the coordinate transformation relationship includes at least one of translation transformation, rotation transformation, and scaling transformation; According to the coordinate transformation relationship, map the registered multi-angle coal surface images into the coordinate system of the reference image, and perform fusion processing on the mapped images, and the fusion processing adopts a weighted fusion strategy; Determine the corresponding weight coefficients according to the shooting angles of each multi-angle coal surface image and the matching degree of the feature points to obtain the fused image; Perform smoothing processing on the fused image, where the smoothing processing includes eliminating the stitching seams and discontinuities generated during the stitching process; Perform color correction and detail enhancement on the smoothed image to obtain the coal surface impurity image corresponding to the coal.

[0007] Further, when determining the iron impurity pixel values corresponding to each iron impurity region image and calculating the iron impurity region image coefficient corresponding to the iron impurity region image based on all the iron impurity pixel values, it includes: Sort all the iron impurity pixel values from largest to smallest, and determine the maximum iron impurity pixel value and the minimum iron impurity pixel value; Generate a first iron impurity pixel value sequence based on all the iron impurity pixel values between the maximum iron impurity pixel value and the first sub - position; Generate a second iron impurity pixel value sequence based on all the iron impurity pixel values between the first sub - position and the second sub - position; Generate a third iron impurity pixel value sequence based on all the iron impurity pixel values between the second sub - position and the third sub - position; Generate a fourth iron impurity pixel value sequence based on all the iron impurity pixel values between the third sub - position and the minimum iron impurity pixel value; Extract the first iron impurity pixel value from the first iron impurity pixel value sequence, extract the second iron impurity pixel value from the second iron impurity pixel value sequence, and randomly combine all the first iron impurity pixel values and the second iron impurity pixel values in pairs to obtain iron impurity pixel value combinations; Calculate the iron impurity pixel value differences of the iron impurity pixel value combinations; Obtain a preset iron impurity pixel value difference, determine whether the iron impurity pixel value difference is less than the preset iron impurity pixel value difference. If so, generate a first sequence identifier for the iron impurity pixel value combination; Extract the third iron impurity pixel value from the third iron impurity pixel value sequence, extract the fourth iron impurity pixel value from the fourth iron impurity pixel value sequence, and randomly combine all the third iron impurity pixel values and the fourth iron impurity pixel values in pairs to obtain second iron impurity pixel value combinations; Calculate the second iron impurity pixel value differences of the second iron impurity pixel value combinations; Determine whether the second iron impurity pixel value difference is less than the preset iron impurity pixel value difference. If so, generate a second sequence identifier for the second iron impurity pixel value combination; Calculate the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier.

[0008] Further, when calculating the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier, it includes: Calculate the first iron impurity pixel mean corresponding to the first iron impurity pixel value sequence, and calculate the second iron impurity pixel mean corresponding to the second iron impurity pixel value sequence; Calculate the average value of the third iron impurity pixel values corresponding to the third iron impurity pixel value sequence, and calculate the average value of the fourth iron impurity pixel values corresponding to the fourth iron impurity pixel value sequence; Count the number of the first sequence identifiers of the first sequence identifier, and count the number of the second sequence identifiers of the second sequence identifier; Calculate the iron impurity region image coefficient corresponding to the iron impurity region image according to the following formula: ; where q is the iron impurity region image coefficient corresponding to the iron impurity region image, a1 is the average value of the first iron impurity pixel values, a2 is the average value of the second iron impurity pixel values, z1 is the average value of the third iron impurity pixel values, z2 is the average value of the fourth iron impurity pixel values, w1 is the number of the first sequence identifiers, and w2 is the number of the second sequence identifiers.

[0009] Further, when fitting the iron impurity region image coefficient curve according to all the iron impurity region image coefficients and calculating the comprehensive iron impurity image coefficient of the coal based on the iron impurity region image coefficient curve, it includes: Determine the rising curve segment, the falling curve segment and the flat curve segment on the iron impurity region image coefficient curve; Take the iron impurity region image coefficients corresponding to all the rising curve segments as the rising iron impurity region image coefficients; Take the iron impurity region image coefficients corresponding to all the falling curve segments as the falling iron impurity region image coefficients; Take the iron impurity region image coefficients corresponding to all the flat curve segments as the flat iron impurity region image coefficients; Randomly combine the rising iron impurity region image coefficients and the falling iron impurity region image coefficients in pairs to obtain a plurality of combinations of iron impurity region image coefficients; Calculate the comprehensive iron impurity image coefficient of the coal according to the rising iron impurity region image coefficients, the falling iron impurity region image coefficients, the flat iron impurity region image coefficients and the combinations of iron impurity region image coefficients.

[0010] Further, when calculating the comprehensive iron impurity image coefficient of the coal according to the rising iron impurity region image coefficients, the falling iron impurity region image coefficients, the flat iron impurity region image coefficients and the combinations of iron impurity region image coefficients, it includes: Calculate the comprehensive iron impurity image coefficient of the coal according to the following formula: ; where s is the comprehensive iron impurity image coefficient of the coal, e is a constant, d1 is the number of the rising iron impurity region image coefficients, d2 is the number of the falling iron impurity region image coefficients, d3 is the number of the flat iron impurity region image coefficients, c is the number of the combinations of iron impurity region image coefficients, and gj is the rising iron impurity region image coefficient in the j-th iron impurity region image coefficient combination, h j is the falling iron impurity region image coefficient in the j-th iron impurity region image coefficient combination, v1 max is the maximum rising iron impurity region image coefficient, v2 max is the maximum stable iron impurity region image coefficient, v3 max is the maximum falling iron impurity region image coefficient.

[0011] Further, when performing energy-saving regulation on the current control strategy based on the comprehensive iron impurity image coefficient to obtain the energy-saving control strategy of the iron remover, it includes: Presetting a first preset comprehensive iron impurity image coefficient and a second preset comprehensive iron impurity image coefficient in advance; Presetting a first preset energy-saving regulation factor, a second preset energy-saving regulation factor, and a third preset energy-saving regulation factor in advance; When the comprehensive iron impurity image coefficient is less than the first preset comprehensive iron impurity image coefficient, calculate the first product value of the first preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the first product value of the first preset energy-saving regulation factor and the working time as the energy-saving working time, and use the energy-saving working power and the energy-saving working time as the energy-saving control strategy of the iron remover; When the comprehensive iron impurity image coefficient is greater than or equal to the first preset comprehensive iron impurity image coefficient and less than the second preset comprehensive iron impurity image coefficient, calculate the second product value of the second preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the second product value of the second preset energy-saving regulation factor and the working time as the energy-saving working time, and use the energy-saving working power and the energy-saving working time as the energy-saving control strategy of the iron remover; When the comprehensive iron impurity image coefficient is greater than or equal to the second preset comprehensive iron impurity image coefficient, calculate the third product value of the third preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the third product value of the third preset energy-saving regulation factor and the working time as the energy-saving working time, and use the energy-saving working power and the energy-saving working time as the energy-saving control strategy of the iron remover.

[0012] Further, after performing energy-saving regulation on the current control strategy based on the comprehensive iron impurity image coefficient to obtain the energy-saving control strategy of the iron remover, it further includes: Real-time monitoring of the operating state of the iron remover, and when the operating state is abnormal, issuing a warning reminder in real time.

[0013] To achieve the above object, the present invention also provides an energy-saving control device for a magnetic separator in a thermal power plant, including: An image processing module, configured to collect multi-angle coal surface images on the coal surface based on a pre-deployed image acquisition device, and perform image processing on all the multi-angle coal surface images to determine a coal surface impurity image corresponding to the coal; A first calculation module, configured to extract multiple iron impurity region images on the coal surface impurity image, determine an iron impurity pixel value corresponding to each iron impurity region image, and calculate an iron impurity region image coefficient corresponding to the iron impurity region image according to all the iron impurity pixel values; A second calculation module, configured to determine an iron impurity region image coefficient corresponding to each iron impurity region image, fit an iron impurity region image coefficient curve according to all the iron impurity region image coefficients, and calculate an iron impurity comprehensive image coefficient of the coal based on the iron impurity region image coefficient curve; An energy-saving control module, configured to collect the current control strategy of the magnetic separator, and perform energy-saving regulation on the current control strategy based on the iron impurity comprehensive image coefficient to obtain an energy-saving control strategy of the magnetic separator, where the current control strategy includes a working power and a working time.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses an energy-saving control method and device for a magnetic separator in a thermal power plant. By collecting multi-angle coal surface images on the coal surface based on a pre-deployed image acquisition device, a coal surface impurity image is determined; multiple iron impurity region images on the coal surface impurity image are extracted, iron impurity pixel values are determined, and an iron impurity region image coefficient is calculated; an iron impurity region image coefficient curve is fitted according to all the iron impurity region image coefficients, and an iron impurity comprehensive image coefficient of the coal is calculated; the current control strategy of the magnetic separator is collected, and the current control strategy is regulated based on the iron impurity comprehensive image coefficient to obtain an energy-saving control strategy of the magnetic separator. The current control strategy includes a working power and a working time. By means of the iron impurity comprehensive image coefficient, the control strategy of the magnetic separator is intelligently adjusted to achieve precise iron removal and energy-saving operation, without manual intervention, reducing the operation and maintenance cost, eliminating operation errors, and meeting the energy-saving requirements of the thermal power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1 A flowchart showing an energy-saving control method for a magnetic separator in an embodiment of the present invention is shown; Figure 2 The structural schematic diagram of an energy-saving control device for a coal separator in a thermal power plant in an embodiment of the present invention is shown. Specific embodiments

[0016] The following further describes in detail the specific embodiments of the present invention in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0017] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present application.

[0018] The terms "first" and "second" are only used for descriptive purposes, and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0019] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0020] The following is a description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0021] As Figure 1 shown, an embodiment of the present invention discloses an energy-saving control method for a coal separator in a thermal power plant, including: S110: Collect multi-angle coal surface images of the coal surface based on a pre-deployed image acquisition device, and perform image processing on all the multi-angle coal surface images to determine a coal surface impurity image corresponding to the coal; In some embodiments of the present application, when collecting multi-angle coal surface images of the coal surface based on a pre-deployed image acquisition device and performing image processing on all the multi-angle coal surface images to determine a coal surface impurity image corresponding to the coal, it includes: Collect multi - angle coal surface images of the coal surface. Among them, the multi - angle coal surface images include three angles in the horizontal direction and two angles in the vertical direction, and each multi - angle coal surface image has the same resolution; Pre - process each of the obtained multi - angle coal surface images. The pre - processing includes removing image noise, correcting image distortion, adjusting image brightness and contrast; For the pre - processed multi - angle coal surface images, extract image feature points. The image feature points include at least two of corner points, edge points and texture feature points; According to the extracted image feature points, generate corresponding feature descriptors for each multi - angle coal surface image. The feature descriptors are used to describe the attribute information of the feature points; Select one of the pre - processed multi - angle coal surface images as a reference image, and register the remaining multi - angle coal surface images with the reference image; According to the registration result, establish a coordinate transformation relationship between each multi - angle coal surface image and the reference image. The coordinate transformation relationship includes at least one of translation transformation, rotation transformation and scaling transformation; According to the coordinate transformation relationship, map the registered multi - angle coal surface images into the coordinate system of the reference image, and perform fusion processing on the mapped images. The fusion processing adopts a weighted fusion strategy; Determine the corresponding weight coefficients according to the shooting angles of each multi - angle coal surface image and the matching degree of the feature points to obtain the fused image; Perform smoothing processing on the fused image. Among them, the smoothing processing includes eliminating the stitching seams and discontinuities generated during the stitching process; Perform color correction and detail enhancement on the smoothed image to obtain a coal surface impurity image corresponding to the coal.

[0022] In this embodiment, the image acquisition device is preferably a CCD camera.

[0023] In this embodiment, the multi - angle coal surface images include at least three angles in the horizontal direction and at least two angles in the vertical direction.

[0024] In this embodiment, the scale - invariant feature transform algorithm is used to extract corner points, edge points and texture feature points of the image.

[0025] In this embodiment, feature points are points in an image with unique properties, which usually correspond to prominent positions such as corner points, edge points, and texture feature points in the image. They can be physical features in the image, such as the corners or intersections of objects, or more abstract features, such as the statistical characteristics of local regions. The selection of feature points is crucial for subsequent image analysis and processing because they represent the key information of the image. A feature descriptor is a vector or a set of data used to describe the attribute information of feature points in detail. It captures the local image structure around the feature points, including information such as grayscale values, texture, and direction. Through the feature descriptor, the characteristics of feature points can be quantified, enabling the comparison and matching of feature points between different images.

[0026] In this embodiment, the iterative closest point algorithm is used to calculate the coordinate transformation parameters between each image and the reference image.

[0027] In this embodiment, the weighted fusion strategy is an image processing technique used to combine image information from multiple sources to create a single, more complete, and accurate image. This strategy is particularly useful in image sequences taken from multiple angles or at different times, such as in applications like 3D reconstruction, video stabilization, and super-resolution reconstruction. Details will not be elaborated further here.

[0028] In this embodiment, the Gaussian filtering algorithm is used to smooth the fused image.

[0029] In this embodiment, the histogram equalization algorithm is used to perform color correction on the smoothed image.

[0030] The beneficial effects of the above technical solution are as follows: The present invention performs image processing on all multi-angle coal surface images to determine the coal surface impurity images corresponding to the coal, that is, stitches the images from multiple angles to obtain a complete image of the coal, ensuring the recognition accuracy of iron impurities and avoiding omissions.

[0031] S120: Extract multiple iron impurity region images from the coal surface impurity image, determine the iron impurity pixel values corresponding to each iron impurity region image, and calculate the iron impurity region image coefficient corresponding to the iron impurity region image based on all the iron impurity pixel values; In some embodiments of the present application, when determining the iron impurity pixel values corresponding to each iron impurity region image and calculating the iron impurity region image coefficient corresponding to the iron impurity region image based on all the iron impurity pixel values, it includes: Sort all the iron impurity pixel values from largest to smallest, and determine the maximum iron impurity pixel value and the minimum iron impurity pixel value; Generate a first iron impurity pixel value sequence based on all the iron impurity pixel values between the maximum iron impurity pixel value and the first percentile; Generate a second sequence of iron impurity pixel values based on all the iron impurity pixel values between the first sub-position and the second sub-position; Generate a third sequence of iron impurity pixel values based on all the iron impurity pixel values between the second sub-position and the third sub-position; Generate a fourth sequence of iron impurity pixel values based on all the iron impurity pixel values between the third sub-position and the minimum iron impurity pixel value; Extract the first iron impurity pixel value from the first sequence of iron impurity pixel values, extract the second iron impurity pixel value from the second sequence of iron impurity pixel values, and randomly pair up all the first iron impurity pixel values and the second iron impurity pixel values to obtain combinations of iron impurity pixel values; Calculate the differences in iron impurity pixel values for the combinations of iron impurity pixel values; Obtain a preset difference in iron impurity pixel values, determine whether the difference in iron impurity pixel values is less than the preset difference in iron impurity pixel values. If so, generate a first sequence identifier for the combination of iron impurity pixel values; Extract the third iron impurity pixel value from the third sequence of iron impurity pixel values, extract the fourth iron impurity pixel value from the fourth sequence of iron impurity pixel values, and randomly pair up all the third iron impurity pixel values and the fourth iron impurity pixel values to obtain a second combination of iron impurity pixel values; Calculate the differences in the second iron impurity pixel values for the second combination of iron impurity pixel values; Determine whether the difference in the second iron impurity pixel values is less than the preset difference in iron impurity pixel values. If so, generate a second sequence identifier for the second combination of iron impurity pixel values; Calculate the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier.

[0032] In this embodiment, an image region with individual iron impurities and continuous iron impurities is regarded as an iron impurity region image.

[0033] In this embodiment, the first sub-position is the 25% position, which can be calculated and determined according to the actual situation. If there is no integer, round up in the direction of the maximum iron impurity pixel value.

[0034] In this embodiment, the second sub-position is the 50% position, which can be calculated and determined according to the actual situation. If there is no integer, use the actual calculated value as the second sub-position. Note that there is no rounding here.

[0035] In this embodiment, the third sub-position is the 75% position, which can be calculated and determined according to the actual situation. If there is no integer, round down in the direction of the minimum iron impurity pixel value.

[0036] In this embodiment, all the first iron impurity pixel values and the second iron impurity pixel values are randomly combined in pairs. If there is a single uncombined iron impurity pixel value, it can be deleted.

[0037] In this embodiment, the difference in iron impurity pixel values refers to the difference between the first iron impurity pixel value and the second iron impurity pixel value in the combination of iron impurity pixel values, and then the absolute value is taken.

[0038] In this embodiment, the preset difference in iron impurity pixel values is preferably 10 here, and it can be specifically adjusted according to the actual situation.

[0039] In this embodiment, it is judged whether the difference in iron impurity pixel values of each combination of iron impurity pixel values is less than the preset difference in iron impurity pixel values, and then a plurality of first sequence identifiers can be obtained.

[0040] In this embodiment, all the third iron impurity pixel values and the fourth iron impurity pixel values are randomly combined in pairs. If there is a single uncombined iron impurity pixel value, it can be deleted.

[0041] In this embodiment, the difference in the second iron impurity pixel values refers to the difference between the third iron impurity pixel value and the fourth iron impurity pixel value in the combination of iron impurity pixel values, and then the absolute value is taken.

[0042] In this embodiment, it is judged whether the difference in iron impurity pixel values of each combination of the second iron impurity pixel values is less than the preset difference in iron impurity pixel values, and then a plurality of second sequence identifiers can be obtained.

[0043] The beneficial effects of the above technical solution are as follows: According to the first sub-position, the second sub-position and the third sub-position, the present invention realizes the accurate division of the iron impurity pixel values, thereby ensuring the accuracy of the generation of the sequence identifier and providing reliable data support for calculating the iron impurity region image coefficient.

[0044] In some embodiments of the present application, when calculating the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier, it includes: Calculating the first iron impurity pixel mean corresponding to the first iron impurity pixel value sequence, and calculating the second iron impurity pixel mean corresponding to the second iron impurity pixel value sequence; Calculating the third iron impurity pixel mean corresponding to the third iron impurity pixel value sequence, and calculating the fourth iron impurity pixel mean corresponding to the fourth iron impurity pixel value sequence; Counting the number of the first sequence identifiers of the first sequence identifier, and counting the number of the second sequence identifiers of the second sequence identifier; Calculating the iron impurity region image coefficient corresponding to the iron impurity region image according to the following formula: ; Wherein, q is the iron impurity region image coefficient corresponding to the iron impurity region image, a1 is the average value of the first iron impurity pixels, a2 is the average value of the second iron impurity pixels, z1 is the average value of the third iron impurity pixels, z2 is the average value of the fourth iron impurity pixels, w1 is the number of the first sequence identifiers, and w2 is the number of the second sequence identifiers.

[0045] The beneficial effects of the above technical solution are as follows: The present invention calculates the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier, which ensures the calculation accuracy and calculation efficiency of the iron impurity region image coefficient. Providing the iron impurity region image coefficient can reflect the presence of iron impurities in each iron impurity region image.

[0046] S130: Determine the iron impurity region image coefficient corresponding to each iron impurity region image, fit an iron impurity region image coefficient curve based on all the iron impurity region image coefficients, and calculate the comprehensive iron impurity image coefficient of the coal based on the iron impurity region image coefficient curve; In some embodiments of the present application, when fitting an iron impurity region image coefficient curve based on all the iron impurity region image coefficients and calculating the comprehensive iron impurity image coefficient of the coal based on the iron impurity region image coefficient curve, it includes: Determine the rising curve segment, falling curve segment, and flat curve segment on the iron impurity region image coefficient curve; Take the iron impurity region image coefficients corresponding to all the rising curve segments as the rising iron impurity region image coefficients; Take the iron impurity region image coefficients corresponding to all the falling curve segments as the falling iron impurity region image coefficients; Take the iron impurity region image coefficients corresponding to all the flat curve segments as the flat iron impurity region image coefficients; Randomly combine the rising iron impurity region image coefficients and the falling iron impurity region image coefficients in pairs to obtain multiple combinations of iron impurity region image coefficients; Calculate the comprehensive iron impurity image coefficient of the coal based on the rising iron impurity region image coefficients, falling iron impurity region image coefficients, flat iron impurity region image coefficients, and combinations of iron impurity region image coefficients.

[0047] In this embodiment, for the rising curve segment: the derivative is positive, indicating that the curve is increasing. For the falling curve segment: the derivative is negative, indicating that the curve is decreasing. For the flat curve segment: the derivative is close to zero, indicating that the curve has no obvious change.

[0048] The beneficial effects of the above technical solution are as follows: According to the rising iron impurity area image coefficient, the falling iron impurity area image coefficient, the stable iron impurity area image coefficient, and the combined calculation of the iron impurity area image coefficients, the comprehensive iron impurity image coefficient of coal is calculated, ensuring the accuracy of the calculation of the comprehensive iron impurity image coefficient and laying a foundation for the energy-saving control of the iron remover.

[0049] In some embodiments of the present application, when calculating the comprehensive iron impurity image coefficient of the coal according to the combination of the rising iron impurity area image coefficient, the falling iron impurity area image coefficient, the stable iron impurity area image coefficient, and the iron impurity area image coefficient, it includes: Calculate the comprehensive iron impurity image coefficient of the coal according to the following formula: ; where s is the comprehensive iron impurity image coefficient of the coal, e is a constant, d1 is the number of rising iron impurity area image coefficients, d2 is the number of falling iron impurity area image coefficients, d3 is the number of stable iron impurity area image coefficients, c is the number of combinations of iron impurity area image coefficients, g j is the rising iron impurity area image coefficient in the jth combination of iron impurity area image coefficients, h j is the falling iron impurity area image coefficient in the jth combination of iron impurity area image coefficients, v1 max is the maximum rising iron impurity area image coefficient, v2 max is the maximum stable iron impurity area image coefficient, v3 max is the maximum falling iron impurity area image coefficient.

[0050] S140: Collect the current control strategy of the iron remover, and based on the comprehensive iron impurity image coefficient, perform energy-saving regulation on the current control strategy to obtain the energy-saving control strategy of the iron remover, where the current control strategy includes working power and working time.

[0051] In some embodiments of the present application, when performing energy-saving regulation on the current control strategy based on the comprehensive iron impurity image coefficient to obtain the energy-saving control strategy of the iron remover, it includes: Preset a first preset comprehensive iron impurity image coefficient and a second preset comprehensive iron impurity image coefficient; Preset a first preset energy-saving regulation factor, a second preset energy-saving regulation factor, and a third preset energy-saving regulation factor; When the comprehensive image coefficient of the iron impurities is less than the first preset comprehensive image coefficient of the iron impurities, calculate the first product value of the first preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the first product value of the first preset energy-saving regulation factor and the working time as the energy-saving working time, and use the energy-saving working power and the energy-saving working time as the energy-saving control strategy for the iron remover; When the comprehensive image coefficient of the iron impurities is greater than or equal to the first preset comprehensive image coefficient of the iron impurities and less than the second preset comprehensive image coefficient of the iron impurities, calculate the second product value of the second preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the second product value of the second preset energy-saving regulation factor and the working time as the energy-saving working time, and use the energy-saving working power and the energy-saving working time as the energy-saving control strategy for the iron remover; When the comprehensive image coefficient of the iron impurities is greater than or equal to the second preset comprehensive image coefficient of the iron impurities, calculate the third product value of the third preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the third product value of the third preset energy-saving regulation factor and the working time as the energy-saving working time, and use the energy-saving working power and the energy-saving working time as the energy-saving control strategy for the iron remover.

[0052] In this embodiment, the first preset comprehensive image coefficient of the iron impurities is less than the second preset comprehensive image coefficient of the iron impurities. The first preset comprehensive image coefficient of the iron impurities is preferably 6, and the second preset comprehensive image coefficient of the iron impurities is preferably 9, and can be specifically adjusted according to the actual situation.

[0053] In this embodiment, the first preset energy-saving regulation factor is less than the second preset energy-saving regulation factor and less than the third preset energy-saving regulation factor. The first preset energy-saving regulation factor is preferably 0.85, the second preset energy-saving regulation factor is preferably 1.05, and the third preset energy-saving regulation factor is preferably 1.2, and can be specifically adjusted according to the actual situation.

[0054] The beneficial effects of the above technical solution are as follows: According to the comprehensive image coefficient of the iron impurities, the first preset comprehensive image coefficient of the iron impurities, and the second preset comprehensive image coefficient of the iron impurities, the present invention selects the corresponding preset energy-saving regulation factor, realizes the energy-saving regulation of the current control strategy, obtains the energy-saving control strategy of the iron remover, realizes accurate iron removal and energy-saving operation, does not require manual intervention, reduces the operation and maintenance cost, eliminates the operation error, and meets the energy-saving requirements of the thermal power plant.

[0055] In some embodiments of the present application, after obtaining the energy-saving control strategy of the iron remover by performing energy-saving regulation on the current control strategy based on the comprehensive image coefficient of the iron impurities, it further includes: Monitor the operating status of the iron remover in real time, and when there is an abnormality in the operating status, issue a warning reminder in real time.

[0056] In this embodiment, the operating status includes operating current, operating voltage, etc. When these parameters show abnormal fluctuations or exceed the safety threshold, a warning reminder is issued in real time.

[0057] The beneficial effects of the above technical solution are as follows: The present invention monitors the operating status of the iron remover in real time, and when there is an abnormality, issues a warning reminder in real time, avoiding faults in the iron remover, ensuring the iron removal accuracy and efficiency, and can not only prevent further damage to the iron remover, but also avoid the problem of decreased iron removal accuracy.

[0058] In order to further elaborate the technical idea of the present invention, the technical solution of the present invention will be described in combination with a specific application scenario.

[0059] Correspondingly, as Figure 2 shown, the present application also provides an energy-saving control device for an iron remover in a thermal power plant, including: An image processing module, configured to collect multi-angle coal surface images on the coal surface based on a pre-deployed image acquisition device, and perform image processing on all the multi-angle coal surface images to determine a coal surface impurity image corresponding to the coal; A first calculation module, configured to extract multiple iron impurity region images on the coal surface impurity image, determine the iron impurity pixel values corresponding to each iron impurity region image, and calculate an iron impurity region image coefficient corresponding to the iron impurity region image according to all the iron impurity pixel values; A second calculation module, configured to determine the iron impurity region image coefficients corresponding to each iron impurity region image, fit an iron impurity region image coefficient curve according to all the iron impurity region image coefficients, and calculate an iron impurity comprehensive image coefficient of the coal based on the iron impurity region image coefficient curve; An energy-saving control module, configured to collect the current control strategy of the iron remover, and perform energy-saving regulation on the current control strategy based on the iron impurity comprehensive image coefficient to obtain an energy-saving control strategy of the iron remover, where the current control strategy includes working power and working time.

[0060] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0061] Although the present invention has been described above with reference to the embodiments, various modifications can be made thereto and components thereof can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed by the present invention can be combined with each other in any way, and the fact that all combinations are not described herein is only for the sake of saving space and resources.

[0062] Those of ordinary skill in the art can understand that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or replace some of the technical features with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An energy-saving control method for the iron remover in a thermal power plant, characterized in that, Including: Collecting multi - angle coal surface images of the coal surface based on pre - deployed image acquisition devices, and performing image processing on all the multi - angle coal surface images to determine coal surface impurity images corresponding to the coal; Extracting multiple iron impurity region images on the coal surface impurity images, determining iron impurity pixel values corresponding to each iron impurity region image, and calculating an iron impurity region image coefficient corresponding to the iron impurity region image according to all the iron impurity pixel values; Determining iron impurity region image coefficients corresponding to each iron impurity region image, fitting an iron impurity region image coefficient curve according to all the iron impurity region image coefficients, and calculating an iron impurity comprehensive image coefficient of the coal based on the iron impurity region image coefficient curve; Collecting the current control strategy of the iron remover, and performing energy - saving regulation on the current control strategy based on the iron impurity comprehensive image coefficient to obtain the energy - saving control strategy of the iron remover, where the current control strategy includes working power and working time.

2. The energy-saving control method for the iron remover in a thermal power plant according to claim 1, wherein When collecting multi - angle coal surface images of the coal surface based on pre - deployed image acquisition devices and performing image processing on all the multi - angle coal surface images to determine coal surface impurity images corresponding to the coal, it includes: Collecting multi - angle coal surface images of the coal surface, where the multi - angle coal surface images include three angles in the horizontal direction and two angles in the vertical direction, and each multi - angle coal surface image has the same resolution; Performing pre - processing on the obtained multi - angle coal surface images, and the pre - processing includes removing image noise, correcting image distortion, adjusting image brightness and contrast; For the pre - processed multi - angle coal surface images, extracting image feature points, where the image feature points include at least two of corner points, edge points, and texture feature points; Generating corresponding feature descriptors for each multi - angle coal surface image according to the extracted image feature points, and the feature descriptors are used to describe the attribute information of the feature points; Selecting one pre - processed multi - angle coal surface image as a reference image, and registering the remaining multi - angle coal surface images with the reference image; According to the registration result, establishing a coordinate transformation relationship between each multi - angle coal surface image and the reference image, and the coordinate transformation relationship includes at least one of translation transformation, rotation transformation, and scaling transformation; According to the coordinate transformation relationship, mapping the registered multi - angle coal surface images into the coordinate system of the reference image, and performing fusion processing on the mapped images, and the fusion processing adopts a weighted fusion strategy; Determining corresponding weight coefficients according to the shooting angles of each multi - angle coal surface image and the matching degree of the feature points to obtain a fused image; Performing smoothing processing on the fused image, where the smoothing processing includes eliminating the stitching seams and discontinuities generated during the stitching process; Performing color correction and detail enhancement on the smoothed image to obtain coal surface impurity images corresponding to the coal.

3. The energy-saving control method for the iron remover in a thermal power plant according to claim 1, wherein When determining iron impurity pixel values corresponding to each iron impurity region image and calculating an iron impurity region image coefficient corresponding to the iron impurity region image according to all the iron impurity pixel values, it includes: Sort all the pixel values of iron impurities from largest to smallest, and determine the maximum and minimum pixel values of iron impurities; Generate a first sequence of iron impurity pixel values based on all the iron impurity pixel values between the maximum iron impurity pixel value and the first split position; Generate a second sequence of iron impurity pixel values based on all the iron impurity pixel values between the first split position and the second split position; Generate a third sequence of iron impurity pixel values based on all the iron impurity pixel values between the second split position and the third split position; Generate a fourth sequence of iron impurity pixel values based on all the iron impurity pixel values between the third split position and the minimum iron impurity pixel value; Extract the first iron impurity pixel value from the first sequence of iron impurity pixel values, extract the second iron impurity pixel value from the second sequence of iron impurity pixel values, and randomly combine all the first and second iron impurity pixel values in pairs to obtain combinations of iron impurity pixel values; Calculate the difference in iron impurity pixel values for the combinations of iron impurity pixel values; Obtain a preset difference in iron impurity pixel values, and determine whether the difference in iron impurity pixel values is less than the preset difference in iron impurity pixel values. If so, generate a first sequence identifier for the combination of iron impurity pixel values; Extract the third iron impurity pixel value from the third sequence of iron impurity pixel values, extract the fourth iron impurity pixel value from the fourth sequence of iron impurity pixel values, and randomly combine all the third and fourth iron impurity pixel values in pairs to obtain a second combination of iron impurity pixel values; Calculate the second difference in iron impurity pixel values for the second combination of iron impurity pixel values; Determine whether the second difference in iron impurity pixel values is less than the preset difference in iron impurity pixel values. If so, generate a second sequence identifier for the second combination of iron impurity pixel values; Calculate the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier.

4. The energy-saving control method for the iron remover in a thermal power plant according to claim 3, wherein When calculating the iron impurity region image coefficient corresponding to the iron impurity region image based on the first sequence identifier and the second sequence identifier, it includes: Calculate the first average iron impurity pixel value corresponding to the first sequence of iron impurity pixel values, and calculate the second average iron impurity pixel value corresponding to the second sequence of iron impurity pixel values; Calculate the third average iron impurity pixel value corresponding to the third sequence of iron impurity pixel values, and calculate the fourth average iron impurity pixel value corresponding to the fourth sequence of iron impurity pixel values; Count the number of first sequence identifiers for the first sequence identifier, and count the number of second sequence identifiers for the second sequence identifier; Calculate the iron impurity region image coefficient corresponding to the iron impurity region image according to the following formula: ； where q is the iron impurity region image coefficient corresponding to the iron impurity region image, a1 is the first average iron impurity pixel value, a2 is the second average iron impurity pixel value, z1 is the third average iron impurity pixel value, z2 is the fourth average iron impurity pixel value, w1 is the number of first sequence identifiers, and w2 is the number of second sequence identifiers.

5. The energy-saving control method for the iron remover in a thermal power plant according to claim 1, characterized in that, When fitting an iron impurity region image coefficient curve based on all the iron impurity region image coefficients and calculating the comprehensive iron impurity image coefficient of the coal based on the iron impurity region image coefficient curve, it includes: Determine the rising curve segment, falling curve segment, and flat curve segment on the iron impurity region image coefficient curve; Take the iron impurity region image coefficients corresponding to all rising curve segments as the rising iron impurity region image coefficients; Take the iron impurity region image coefficients corresponding to all falling curve segments as the falling iron impurity region image coefficients; Take the iron impurity region image coefficients corresponding to all flat curve segments as the flat iron impurity region image coefficients; Randomly combine the rising iron impurity region image coefficients and the falling iron impurity region image coefficients in pairs to obtain multiple combinations of iron impurity region image coefficients; Calculate the comprehensive iron impurity image coefficient of the coal according to the rising iron impurity region image coefficients, falling iron impurity region image coefficients, flat iron impurity region image coefficients, and combinations of iron impurity region image coefficients.

6. The energy-saving control method for the electromagnet used in thermal power plants according to claim 5, wherein When calculating the comprehensive iron impurity image coefficient of the coal according to the rising iron impurity region image coefficients, falling iron impurity region image coefficients, flat iron impurity region image coefficients, and combinations of iron impurity region image coefficients, it includes: Calculate the comprehensive iron impurity image coefficient of the coal according to the following formula: ； Among them, s is the comprehensive image coefficient of iron impurities in coal, e is a constant, d1 is the number of image coefficients of the rising iron impurity region, d2 is the number of image coefficients of the falling iron impurity region, d3 is the number of image coefficients of the stable iron impurity region, c is the number of combinations of image coefficients of the iron impurity region, g j is the image coefficient of the rising iron impurity region in the j-th combination of image coefficients of the iron impurity region, h j is the image coefficient of the falling iron impurity region in the j-th combination of image coefficients of the iron impurity region, v1 max is the maximum image coefficient of the rising iron impurity region, v2 max is the maximum image coefficient of the stable iron impurity region, v3 max is the maximum image coefficient of the falling iron impurity region.

7. The energy-saving control method for the iron remover in a thermal power plant according to claim 1, characterized in that, When performing energy-saving regulation on the current control strategy based on the comprehensive iron impurity image coefficient to obtain the energy-saving control strategy of the iron remover, it includes: Preset a first preset comprehensive iron impurity image coefficient and a second preset comprehensive iron impurity image coefficient in advance; Preset a first preset energy-saving regulation factor, a second preset energy-saving regulation factor, and a third preset energy-saving regulation factor in advance; When the comprehensive iron impurity image coefficient is less than the first preset comprehensive iron impurity image coefficient, calculate the first product value of the first preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the first product value of the first preset energy-saving regulation factor and the working time as the energy-saving working time, and take the energy-saving working power and the energy-saving working time as the energy-saving control strategy of the iron remover; When the comprehensive iron impurity image coefficient is greater than or equal to the first preset comprehensive iron impurity image coefficient and less than the second preset comprehensive iron impurity image coefficient, calculate the second product value of the second preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the second product value of the second preset energy-saving regulation factor and the working time as the energy-saving working time, and take the energy-saving working power and the energy-saving working time as the energy-saving control strategy of the iron remover; When the comprehensive iron impurity image coefficient is greater than or equal to the second preset comprehensive iron impurity image coefficient, calculate the third product value of the third preset energy-saving regulation factor and the working power as the energy-saving working power, calculate the third product value of the third preset energy-saving regulation factor and the working time as the energy-saving working time, and take the energy-saving working power and the energy-saving working time as the energy-saving control strategy of the iron remover.

8. The energy-saving control method for the iron remover in a thermal power plant according to claim 1, wherein After performing energy-saving regulation on the current control strategy based on the comprehensive iron impurity image coefficient to obtain the energy-saving control strategy of the iron remover, it further includes: Real-time monitor the operating state of the iron remover, and when the operating state is abnormal, issue a warning reminder in real time.

9. An energy-saving control device for an iron remover in a thermal power plant, which is applied to the energy-saving control method for the iron remover in a thermal power plant according to any one of claims 1-8, and is characterized in that, Including: An image processing module, configured to collect multi-angle coal surface images of the coal surface based on a pre-deployed image acquisition device, and perform image processing on all the multi-angle coal surface images to determine a coal surface impurity image corresponding to the coal; A first calculation module, configured to extract multiple iron impurity region images on the coal surface impurity image, determine iron impurity pixel values corresponding to each iron impurity region image, and calculate an iron impurity region image coefficient corresponding to the iron impurity region image according to all the iron impurity pixel values; A second calculation module, configured to determine an iron impurity region image coefficient corresponding to each iron impurity region image, fit an iron impurity region image coefficient curve according to all the iron impurity region image coefficients, and calculate an iron impurity comprehensive image coefficient of the coal based on the iron impurity region image coefficient curve; An energy-saving control module, configured to collect a current control strategy of a magnetic separator, and perform energy-saving regulation on the current control strategy based on the iron impurity comprehensive image coefficient to obtain an energy-saving control strategy of the magnetic separator, wherein the current control strategy includes a working power and a working time.

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