A method for controlling the thickness of a charge layer in a waste incinerator and related devices

Abstract

This application discloses a method and related apparatus for controlling the thickness of the waste incinerator bed, relating to the field of automatic combustion control technology. The method includes: using an infrared camera to acquire a waste image covering the entire area from the pusher throat to the end of the burnout grate; dividing the waste image into r×c sub-images; determining the waste bed thickness of the sub-region corresponding to each sub-image; further determining the damper opening of the sub-region corresponding to each sub-image; and determining the damper opening, pusher, and individual grate operating speeds of the sub-regions corresponding to the r×c sub-images based on the waste bed thicknesses of the respective sub-regions, thereby coordinating and controlling the target actuators based on the determined damper openings and operating speeds. This application utilizes a full-area waste image acquired by an infrared camera capable of penetrating the flame curtain, achieving more accurate and precise control of the waste bed thickness, ensuring complete combustion of waste within the incinerator, and reducing the impact of furnace temperature fluctuations.

Description

Technical Field

[0001] This application relates to the field of intelligent combustion control technology, and in particular to a method and related device for controlling the thickness of the fuel bed in a waste incinerator. Background Technology

[0002] In a waste incinerator, waste enters through the upper throat of a pusher, which pushes it onto a drying grate. After thorough drying on the grate, the waste is continuously moved to the combustion grate for combustion. It then falls onto the burnout grate for complete combustion and cooling before being discharged from the incinerator through the ash outlet. Throughout the incineration process, the thickness of the waste bed is crucial for efficient combustion. By monitoring the thickness of the waste bed on each grate within the incinerator, relevant parameters can be controlled to ensure complete combustion of the waste.

[0003] Currently, visible light-based optical flame monitors are commonly used to monitor the distribution of waste bed thickness in waste incinerators. However, these monitors cannot penetrate the "flame curtain" formed at the end of the combustion section, preventing operators from directly observing the bed thickness distribution in critical areas such as the drying and combustion sections. Due to this lack of real-time sensing of the bed distribution in these critical areas, current Automatic Combustion Control (ACC) systems can only perform global, coarse-grained control based on macroscopic parameters such as temperature at the furnace tail and oxygen content in the flue gas. However, this coarse-grained control method suffers from incomplete waste incineration and large temperature fluctuations, problems that urgently need to be addressed. Summary of the Invention

[0004] In view of the above problems, this application provides a method and related apparatus for controlling the thickness of the waste incinerator bed, so as to achieve precise and accurate control of the thickness of the waste incinerator bed. The specific solution is as follows:

[0005] The first aspect of this application provides a method for controlling the thickness of the feed bed in a waste incinerator, including:

[0006] Infrared cameras installed on the rear wall of the waste incinerator capture images of the entire waste area from the feeder throat to the end of the burnt-out grate.

[0007] The waste image is divided into r×c sub-images, and the r×c sub-images are further divided into sub-images corresponding to the pusher, drying grate, combustion grate and burnout grate, where r is related to the number of transverse furnace sections of each grate and / or the pixel accuracy of the waste image, and c is related to the number of longitudinal furnace columns of the grate.

[0008] Determine the thickness of the waste layer corresponding to each of the r×c sub-images, and determine the damper opening of the sub-region corresponding to each sub-image based on the thickness of the waste layer corresponding to each sub-image;

[0009] The pusher, the drying grate, and the combustion grate are sequentially used as test components. The operating speed of the test component is determined based on the thickness of the waste layer corresponding to the sub-image of each test component and its downstream component. The operating speed of the combustion grate is determined based on the thickness of the waste layer corresponding to the sub-image of the combustion grate.

[0010] The controlled actuators are coordinated and controlled according to the determined damper opening and operating speed.

[0011] In one possible implementation, determining the thickness of the waste layer corresponding to each of the r×c sub-images includes:

[0012] The pixel values ​​of each sub-image are processed by Gaussian weighted averaging using a preset Gaussian weight matrix to obtain the average thermal radiation intensity of the garbage corresponding to each sub-image. The weight values ​​in the Gaussian weight matrix gradually decrease from the center pixel to the edge pixel.

[0013] The average thermal radiation intensity of the waste corresponding to each sub-image is scaled to a preset range to obtain the waste layer thickness corresponding to each sub-image.

[0014] In one possible implementation, the infrared camera is a mid-band infrared camera operating in the 3-5 micrometer range.

[0015] In one possible implementation, determining the operating speed of the component under test based on the thickness of the waste layer corresponding to the sub-images of the component under test and its downstream components includes:

[0016] The reference speed of the component under test is determined based on the thickness of the waste layer corresponding to the sub-image of the component under test.

[0017] The speed adjustment factor of the component under test is determined based on the thickness of the waste layer corresponding to the sub-image of the downstream component.

[0018] The reference speed of the component under test is adjusted according to the speed adjustment factor of the component under test to obtain the operating speed of the component under test.

[0019] In one possible implementation, determining the reference velocity of the component under test based on the thickness of the waste layer corresponding to the sub-image of the component under test includes:

[0020] The average thickness of the waste layer corresponding to the sub-image of the pusher is calculated to obtain a first average value, and a first conversion is performed on the first average value to obtain the reference speed of the pusher.

[0021] The sub-images corresponding to the drying grate are divided into c first sub-image sets according to their columns. The average thickness of the waste material layer corresponding to the sub-images in the first sub-image sets is calculated to obtain a second mean value. The second mean value is then converted to obtain a first column reference velocity. The c first column reference velocities are used as the reference velocities of the drying grate.

[0022] The sub-image corresponding to the combustion grate is divided into c second sub-image sets according to its column. The thickness of the waste layer corresponding to the sub-image in the second sub-image set is averaged to obtain a third mean. The third mean is then converted to obtain a second column reference velocity. The c second column reference velocities are used as the reference velocities of the combustion grate.

[0023] In one possible implementation, determining the operating speed of the burnout grate based on the thickness of the waste layer corresponding to the sub-image of the burnout grate includes:

[0024] The sub-images corresponding to the burnout grate are divided into c third sub-image sets according to their columns. The average thickness of the waste layer corresponding to the sub-images in the third sub-image sets is calculated to obtain a fourth mean value. The fourth mean value is then converted to obtain the third column reference speed. The c third column reference speeds are used as the operating speed of the burnout grate.

[0025] In one possible implementation, determining the velocity adjustment factor of the component under test based on the thickness of the waste layer corresponding to the sub-image of the downstream component includes:

[0026] The average thickness of the waste material layer corresponding to the sub-image of the drying grate is calculated to obtain the fifth average value, and the fifth average value is converted to obtain the first speed adjustment factor of the pusher.

[0027] The average thickness of the waste material layer corresponding to the sub-image of the combustion grate is calculated to obtain the sixth average value, and the sixth average value is converted to obtain the second speed adjustment factor of the pusher.

[0028] The average thickness of the waste material layer corresponding to the sub-image of the burnt-out grate is calculated to obtain the seventh average value, and the seventh average value is converted to obtain the third speed adjustment factor of the pusher.

[0029] The c third average values ​​are converted into c first speed adjustment factors for the drying grate by performing an eighth conversion.

[0030] The ninth conversion is performed on each of the c fourth average values ​​to obtain the c second speed adjustment factors of the drying grate;

[0031] The c fourth average values ​​are converted to tenth values ​​to obtain c speed adjustment factors of the combustion grate.

[0032] In one possible implementation, the first conversion is performed using the target formula;

[0033] The target formula is: ;

[0034] In the first conversion, This indicates the reference speed of the pusher. This represents the first mean. This indicates the initial velocity of the pusher. This indicates the preset first target material thickness. This represents the preset first correction factor.

[0035] In one possible implementation, The process of determining this includes:

[0036] Obtain the theoretical speed of the pusher under the process principle, and the set of historical operating speeds of the pusher within the target time before the current control moment;

[0037] The average speed corresponding to the historical operating speed set is obtained by averaging the historical operating speeds within the set of historical operating speeds.

[0038] The theoretical velocity and the mean velocity are weighted and summed to obtain the weighted sum value. .

[0039] A second aspect of this application provides a device for controlling the thickness of the feed bed in a waste incinerator, comprising:

[0040] The image acquisition unit is used to acquire images of the waste from the throat of the feeder to the end of the burnt grate using an infrared camera installed on the rear wall of the waste incinerator.

[0041] An image grouping unit is used to divide the waste image into r×c sub-images, and further divide the r×c sub-images into sub-images corresponding to the pusher, drying grate, combustion grate, and burnout grate, wherein r is related to the number of transverse furnace sections of each grate and / or the pixel accuracy of the waste image, and c is related to the number of longitudinal furnace columns of the grate.

[0042] The damper opening calculation unit is used to determine the thickness of the waste layer corresponding to each of the r×c sub-images, and to determine the damper opening of the sub-region corresponding to each sub-image based on the thickness of the waste layer corresponding to each sub-image.

[0043] The operating speed calculation unit is used to take the pusher, the drying grate and the combustion grate as the test components in sequence, and determine the operating speed of the test component based on the thickness of the waste material layer corresponding to the sub-image of each of the test components and the downstream components of the test component, and determine the operating speed of the combustion grate based on the thickness of the waste material layer corresponding to the sub-image of the combustion grate.

[0044] The control unit is used to coordinate and control the controlled actuators according to the determined damper opening and operating speed.

[0045] A third aspect of this application provides a computer program product including computer-readable instructions that, when executed on an electronic device, cause the electronic device to implement the waste incinerator bed thickness control method described in the first aspect or any implementation thereof.

[0046] A fourth aspect of this application provides an electronic device, including at least one processor and a memory connected to the processor, wherein:

[0047] The memory is used to store computer programs;

[0048] The processor is used to execute the computer program so that the electronic device can implement the waste incinerator bed thickness control method of the first aspect or any implementation thereof.

[0049] The fifth aspect of this application provides a computer storage medium carrying one or more computer programs, which, when executed by an electronic device, enable the electronic device to implement the waste incinerator bed thickness control method described in the first aspect or any implementation thereof.

[0050] By employing the above technical solution, the waste incinerator bed thickness control method provided in this application acquires waste images covering the entire area from the pusher throat to the end of the burnout grate using an infrared camera installed on the rear wall of the waste incinerator. The waste images are divided into r×c sub-images, and these r×c sub-images are further divided into sub-images corresponding to the pusher, drying grate, combustion grate, and burnout grate, respectively. The waste bed thickness corresponding to each of the r×c sub-images is then determined. Since infrared light can penetrate the flame curtain, this application can acquire images of the burning waste behind the flame curtain using an infrared camera. Based on these real waste images, the determined waste bed thickness is more accurate. Furthermore, by installing the infrared camera on the rear wall of the waste incinerator, it can acquire waste images of all areas within the incinerator. Control based on these comprehensive waste images allows for more accurate control of the waste bed thickness.

[0051] Furthermore, this application determines the damper opening of the sub-region corresponding to each sub-image based on the waste layer thickness corresponding to each sub-image. The pusher, drying grate, and combustion grate are sequentially taken as test components. The operating speed of the test component is determined based on the waste layer thickness corresponding to the sub-image of each test component and its downstream component. Similarly, the operating speed of the burnout grate is determined based on the waste layer thickness corresponding to the sub-image of the burnout grate. The controlled execution components are then coordinated and controlled according to the determined damper opening and operating speed. Therefore, this embodiment achieves precise regional control of the damper opening by dividing the images. Simultaneously, the operating speeds of the pusher, drying grate, and combustion grate are affected not only by the waste layer thickness corresponding to the current sub-image but also by the waste layer thickness corresponding to the downstream sub-image. The operating speed determined based on these dual influencing factors ensures more complete combustion of waste within the current region, reducing the impact of furnace temperature fluctuations. Attached Figure Description

[0052] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0053] Figure 1(a) is a schematic diagram of imaging using a conventional optical camera;

[0054] Figure 1(b) shows the effect of a conventional optical camera capturing an actual image of a flame-covered wall;

[0055] Figure 2 A flowchart illustrating a method for controlling the thickness of the feed bed in a waste incinerator, as provided in this application;

[0056] Figure 3(a) is a schematic diagram of a mid-band infrared camera penetrating the flame to perform full-area imaging of the garbage pile;

[0057] Figure 3(b) shows the effect of a mid-band infrared transmission camera capturing an actual image of a flame curtain wall;

[0058] Figure 4 This is a schematic diagram showing the installation location of the infrared camera;

[0059] Figure 5(a) is a schematic diagram of the refined determination results of the thickness of the waste material layer corresponding to each sub-image;

[0060] Figure 5(b) is a schematic diagram of the judgment results after preprocessing based on the thickness of the waste layer corresponding to each sub-image;

[0061] Figure 6 This application provides a schematic diagram of the structure of a waste incinerator bed thickness control device.

[0062] Figure 7 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0063] The embodiments of this application are described below with reference to the accompanying drawings. The terminology used in the implementation section of this application is for explaining specific embodiments only and is not intended to limit the scope of this application.

[0064] The embodiments of this application will now be described with reference to the accompanying drawings. Those skilled in the art will recognize that, with technological advancements and the emergence of new scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems.

[0065] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms are interchangeable where appropriate; this is merely a way of distinguishing objects with the same attributes in the embodiments of this application. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, so that a process, method, system, product, or apparatus that comprises a series of elements is not necessarily limited to those elements, but may include other elements not explicitly listed or inherent to those processes, methods, products, or apparatuses.

[0066] First, the relevant terms used in this application will be explained in order to better understand this application.

[0067] Rear wall: The wall at the rear of the municipal solid waste incinerator, perpendicular to the ground, composed of refractory bricks and castable.

[0068] Mid-band infrared transmission imaging (MWIR Transmission Imaging) refers to a technique that uses an infrared camera in the 3-5μm band. This technique utilizes the physical principle that this band has certain transmission characteristics to high-temperature flames (mainly radiating at 1-3μm and above 4.5μm) to suppress the contribution of flame pixels in the imaging, thereby obtaining clear images of the waste and grate body that are obscured by flames and have lower temperatures.

[0069] Grate Block Region: The smallest control unit after dividing the mechanical plane of the grate into rows and columns for precise control. For example, three grate sections (drying, combustion, and burnout) combined with three rows form nine independent grate block regions. Each region has its own independent drive and damper control mechanism.

[0070] Relative Fuel Bed Thickness Distribution: In this application, it specifically refers to a quantitative indicator that characterizes the unevenness of waste accumulation in different areas of the grate, calculated from infrared image grayscale information. It is a dimensionless relative value, not an absolute physical thickness, but its distribution pattern truly reflects the thickness differences of the fuel bed.

[0071] Feature Intensity Value (FIV): A scalar value calculated for each image sub-region corresponding to a "grate block area" after denoising, segmentation, and feature extraction. This value is positively correlated with the average thermal radiation intensity, bulk density, and relative thickness of the waste, and is the core input for subsequent calculations and control.

[0072] Thickness Index (TI): A scale value between [0, 100] obtained by normalizing the "characteristic intensity value", which is directly used to characterize the relative thickness of the material layer in the region (0 is the thinnest and 100 is the thickest).

[0073] Intelligent Incineration Optimization Controller: The software algorithm module defined in this application receives the "thickness index" of each region obtained by the image processing module, calculates the speed control factor and damper control factor for each "grate block region" based on the built-in intelligent control strategy, and outputs them to the intelligent incineration system.

[0074] See Figures 1(a) and 1(b), which are schematic diagrams of imaging with a conventional optical camera and actual images of a flame curtain taken by a conventional optical camera. In the figures, 10 is the pusher, 11 is the drying grate, 12 is the combustion grate, and 13 is the burnout grate.

[0075] As shown in Figure 1(a), the conventional optical camera is located at position a, and its detection range is the angle range of less than 180 degrees formed by the two bold arrows. The flame curtain is located at the end of the combustion grate, and the maximum flame height is at position b.

[0076] For conventional optical cameras, the flame curtain acts as an obstruction, preventing them from capturing the thickness of the waste layer behind it. Therefore, the entire area behind the maximum flame height is completely blocked, forming a complete blind spot, as shown in area A of Figure 1(a). Furthermore, since a large flame may cover part of the burnt-out grate, as shown in Figure 1(a), the height changes of the three triangles D, E, and F represent the flame height changes to the right of the maximum flame height. Similarly, due to the partial obstruction of the flame curtain shown in D, E, and F, some areas behind it are also blocked, forming partial blind spots, as shown in areas B and C of Figure 1(a).

[0077] To illustrate the blind spot more clearly, refer to Figure 1(b). Since it cannot penetrate the flame curtain, a conventional optical camera can only capture the flame curtain itself when shooting at it, and cannot penetrate the flame curtain to collect the thickness of the waste layer behind it.

[0078] In view of the problems existing in the prior art, this application has conducted in-depth research and provides the following method for controlling the thickness of the feed layer in a waste incinerator.

[0079] Optionally, the waste incinerator bed thickness control method provided in this application can be applied to an intelligent incineration optimization controller, such as a high-performance industrial computer with a built-in high-end GPU (Graphics Processing Unit). This high-performance industrial computer receives video streams (1024x768 resolution, 25fps frame rate) captured by an infrared camera via a gigabit network port, and communicates with the incineration plant's DCS (Distributed Control System) and intelligent incineration system via the OPC UA (Open Platform Communications Unified Architecture) protocol to achieve control over them.

[0080] It should be noted that the above scenarios are merely examples and are not intended to limit this application.

[0081] To enable those skilled in the art to better understand this application, the following detailed description of the waste incinerator bed thickness control method according to the embodiments of this application is provided in conjunction with the accompanying drawings.

[0082] Reference Figure 2 , Figure 2This is a flowchart illustrating a method for controlling the bed thickness in a waste incinerator, as provided in an embodiment of this application. Figure 2 As shown, the method for controlling the thickness of the feed bed in a waste incinerator may include:

[0083] Step S101: Collect images of the waste from the throat of the feeder to the end of the burnt grate using an infrared camera installed on the rear wall of the waste incinerator.

[0084] Through in-depth research and experimentation, it was discovered that due to the unique nature of the burning waste itself, only infrared imaging can capture the thickness of the waste layer behind the flame curtain. See Figures 3(a) and 3(b), which are schematic diagrams of a mid-band infrared camera penetrating the flame to image the entire waste pile, and actual images of the flame curtain taken by a mid-band infrared transmission camera. It is evident that the thickness of the waste layer in each area is clearly visible in the images, while the flame curtain itself is almost invisible. 14 represents the rear wall.

[0085] Based on this, in this embodiment, the infrared camera can be installed on the rear wall of the waste incinerator, as shown in the installation position. Figure 4 Position c is used to ensure that the lens is precisely calibrated so that its field of view can fully cover the entire area from the pusher throat to the end of the burnout grate.

[0086] Preferably, the infrared camera in this embodiment can be a mid-band infrared camera with a working wavelength in the range of 3-5 micrometers, and its resolution can be a preset high resolution to make the acquired pixel values ​​more accurate. Of course, the infrared camera can also be other types, and this application does not make specific limitations.

[0087] Step S102: Divide the waste image into r×c sub-images, and further divide the r×c sub-images into sub-images corresponding to the pusher, drying grate, combustion grate, and burnout grate.

[0088] Where r is related to the number of transverse grate sections and / or the pixel accuracy of the waste image, and c is related to the number of longitudinal grate columns.

[0089] Taking a waste incinerator as an example, where the drying grate is a single grate, the combustion grate is a three-section grate, and the burnout grate is a two-section grate, with 3 longitudinal grate rows for each grate, r can be 7 (6 transverse grate sections plus the pusher, totaling 7 sections, hence r is 7), and c can be 3. In other words, this embodiment can precisely divide the interior of the waste incinerator into 3 columns × 7 rows, totaling 21 independent monitoring areas from top to bottom. That is, the waste image is divided into 21 sub-images, accurately corresponding to the waste layer status of the pusher, drying grate, combustion grate, and burnout grate.

[0090] It should also be noted that the drying grate is a single grate only as an example. Other structures are possible, for example, Figure 1(a) and Figure 3(a) show drying grates with two grate structures. Similarly, the number of grate sections in the combustion grate and the burnout grate can also be other, so that r can vary with the number of transverse grate sections in each grate in the actual application scenario.

[0091] The above is just an example. In practical applications, r can also be determined based on the pixel precision of the garbage image. Here, pixel precision mainly refers to spatial precision, that is, pixel resolution.

[0092] Optionally, the process of dividing the waste image into r×c sub-images may include: using a deep learning-based denoising algorithm to denoise the waste image to obtain a denoised image; generating r×c binary mask images based on the internal structure of the waste incinerator and the calibration parameters of the infrared camera; and dividing the waste image into r×c sub-images using the r×c binary mask images.

[0093] Optionally, a deep learning-based denoising algorithm could be the DnCNN (Denoising Convolutional Neural Network) algorithm. This algorithm, trained with a large amount of data, can more intelligently distinguish between thermal noise, flame flickering interference, and real material layer texture features, and can also preserve crucial edge and detail information under extreme working conditions.

[0094] Optionally, the binary mask image can be set with a pixel value of 1 in the areas where pixel values ​​need to be retained and a pixel value of 0 in other areas. Then, by multiplying each binary mask image with the garbage image pixel by pixel, the sub-image corresponding to each binary mask image can be obtained.

[0095] Step S103: Determine the thickness of the waste layer corresponding to each of the r×c sub-images, and determine the damper opening of the sub-region corresponding to each sub-image based on the thickness of the waste layer corresponding to each sub-image.

[0096] Research has revealed that the thermal radiation intensity of the waste layer varies depending on its thickness and combustion state, manifesting as different grayscale levels (black, gray, and white). Furthermore, under the same combustion state, a thicker waste layer has a greater heat capacity, a more uniform surface temperature, and higher radiation intensity, appearing as a brighter white in the waste image. Conversely, a thinner waste layer is more easily heated directly by the flame or high-temperature grate, potentially resulting in localized high-temperature bright spots or a darker appearance relative to the grate below. Based on this, this embodiment can determine the waste layer thickness corresponding to each of the r×c sub-images based on their respective pixel values.

[0097] Optionally, the thickness of the waste layer can be a value in the range of 0-100.

[0098] Considering the high resistance and oxygen demand in areas with thicker material, the dampers need to be opened wider; while areas with thinner material are easily "blown through," leading to air leakage and a sudden drop in furnace temperature, the dampers need to be closed. In order to distribute air according to the material thickness, this embodiment can determine the damper opening of the corresponding sub-region of each sub-image based on the thickness of the waste material layer corresponding to each sub-image.

[0099] For example, following the method of dividing the image into sub-images as described above, 21 damper electric actuators can be set up, thereby obtaining 21 damper opening degrees.

[0100] Alternatively, it can be done according to the following formula Calculate the damper opening of the sub-region corresponding to each sub-image. Wherein, This represents the damper opening of the sub-region corresponding to the sub-image in the i-th row and j-th column. This indicates the global baseline damper opening set by the intelligent incineration system. This represents the proportional gain coefficient (adjustable) for damper control. Let represent the thickness of the waste layer corresponding to the sub-image in the i-th row and j-th column, i∈[1,r], j∈[1,c].

[0101] “ "-50" represents the deviation of the waste material layer thickness from the ideal value of 50. A positive deviation (material thickness) indicates that... Increase the size, open the damper wider; if the deviation is negative (thin material), then... Reduce the damper by closing it slightly.

[0102] It should be noted that the above formula is merely an example and is not intended to limit this application.

[0103] Step S104: The pusher, drying grate and combustion grate are taken as the test components in sequence. The running speed of the test component is determined according to the thickness of the waste material layer corresponding to the sub-image of the test component and the downstream component of the test component. The running speed of the combustion grate is determined according to the thickness of the waste material layer corresponding to the sub-image of the combustion grate.

[0104] The downstream components of the pusher include: a drying grate, a combustion grate, and a burnout grate; the downstream components of the drying grate include: a combustion grate and a burnout grate; the downstream component of the combustion grate is the burnout grate.

[0105] This embodiment provides a control strategy that adjusts the upstream feeding speed based on downstream demand, ensuring that the material layer in each section is stable near the ideal material thickness. This ensures that the waste in the drying furnace section can be fully dried, the fully dried waste can be fully burned in the combustion furnace section, and the fully burned waste can be fully burned and cooled in the burnout furnace section. Thus, when the waste passes through the slag outlet, it has been completely turned into slag.

[0106] Step S105: Coordinate and control the controlled actuators according to the determined damper opening and operating speed.

[0107] In this embodiment, the damper opening determined in step S103 and the operating speed determined in step S104 can be packaged and sent to the underlying intelligent incineration system or distributed control system (DCS) through industrial communication protocol. After receiving these control parameters, the intelligent incineration system or DCS system can combine them with its own safety logic interlock to finally generate precise control commands for all damper electric actuators and hydraulic motors of each grate section, thereby completing efficient and refined closed-loop control.

[0108] The waste incinerator bed thickness control method provided in this application uses an infrared camera installed on the rear wall of the waste incinerator to acquire images of the waste covering the entire area from the pusher throat to the end of the burnout grate. The waste image is divided into r×c sub-images, and these r×c sub-images are further divided into sub-images corresponding to the pusher, drying grate, combustion grate, and burnout grate, respectively. The waste bed thickness corresponding to each of the r×c sub-images is then determined. Since infrared light can penetrate the flame curtain, this application can acquire images of the burning waste behind the flame curtain using an infrared camera. Based on these real waste images, the determined waste bed thickness is more accurate. Furthermore, by installing the infrared camera on the rear wall of the waste incinerator, it can acquire images of waste in all areas within the incinerator. Control based on these comprehensive waste images allows for more accurate control of the waste bed thickness.

[0109] Furthermore, this application determines the damper opening of the sub-region corresponding to each sub-image based on the waste layer thickness corresponding to each sub-image. The pusher, drying grate, and combustion grate are sequentially taken as test components. The operating speed of the test component is determined based on the waste layer thickness corresponding to the sub-image of each test component and its downstream component. Similarly, the operating speed of the burnout grate is determined based on the waste layer thickness corresponding to the sub-image of the burnout grate. The controlled execution components are then coordinated and controlled according to the determined damper opening and operating speed. Therefore, this embodiment achieves precise regional control of the damper opening by dividing the images. Simultaneously, the operating speeds of the pusher, drying grate, and combustion grate are affected not only by the waste layer thickness corresponding to the current sub-image but also by the waste layer thickness corresponding to the downstream sub-image. The operating speed determined based on these dual influencing factors ensures more complete combustion of waste within the current region, reducing the impact of furnace temperature fluctuations.

[0110] In some embodiments of this application, the process of step S103, "determining the thickness of the waste layer corresponding to each of the r×c sub-images", is described in detail.

[0111] To suppress edge region errors and sporadic hotspot interference in sub-images, this embodiment can perform weighted calculations on each sub-image using a Gaussian weight matrix that coincides with its center, giving higher weights to pixels in the central region. That is, this embodiment can use a preset Gaussian weight matrix to perform Gaussian weighted averaging on the pixel values ​​of each sub-image to obtain the average thermal radiation intensity of garbage corresponding to each sub-image. Here, the weight values ​​in the Gaussian weight matrix gradually decrease from the central pixel to the edge pixel.

[0112] Formula (1);

[0113] in, This represents the average thermal radiation intensity of the garbage corresponding to the sub-image in the i-th row and j-th column. This represents the pixel value at position (x, y) of the sub-image in row i and column j. Let i represent the element value at position (x,y) in the Gaussian weight matrix, where i∈[1,r] and j∈[1,c].

[0114] Furthermore, in this embodiment, the average thermal radiation intensity of the waste corresponding to each sub-image can be scaled to a preset range to obtain the waste layer thickness corresponding to each sub-image.

[0115] As mentioned above, this embodiment aims to control the thickness of the waste layer within the range of 0-100. Therefore, the thickness of the waste layer within the range of 0-100 for each sub-image can be obtained through scaling.

[0116] Formula (2);

[0117] in, This represents the thickness of the waste layer corresponding to the sub-image in the i-th row and j-th column. This represents the minimum value among the average thermal radiation intensities of the garbage corresponding to each of the sub-images. This represents the maximum value among the average thermal radiation intensities of the garbage corresponding to each of the sub-images. Let i represent the preset minimum constant for preventing division by zero, i∈[1,r], j∈[1,c].

[0118] Through the above process, the thickness of the waste layer in the sub-region corresponding to each sub-image can be obtained. The closer the waste layer thickness is to 100, the thicker the layer in the sub-region; the closer it is to 0, the thinner it is; and the closer it is to 50, the more suitable the thickness is.

[0119] Since the pixel value of a waste image is highly correlated with the thickness of the waste layer at the corresponding location, the "relative" thickness of the waste layer at each location in the entire region can be determined more accurately based on the pixel value of the waste image.

[0120] Optionally, this embodiment can also generate a two-dimensional pseudo-color planar map and a three-dimensional thermal surface map based on the thickness of the waste layer corresponding to each of the sub-images, so as to more intuitively see the thickness of the waste layer in the entire area.

[0121] Here, the two-dimensional pseudo-color planar view refers to: a two-dimensional pseudo-color planar view with the grate as the main view, and 21 areas are filled with color according to their TV values ​​(color mapping is: dark blue (0) → light blue → green (50) → yellow → red (100)), so as to intuitively display the distribution of the thickness of the waste material layer in the entire grate.

[0122] A 3D thermal surface map is a 3D surface map constructed in real time with the grate plane as the XY base and the TV value of each region as the height of the Z axis. The surface undulations intuitively represent the thickness fluctuations and can be combined with color mapping to be observed from any angle by rotation and scaling.

[0123] Optionally, the process of drawing the two-dimensional pseudo-color planar plot and the three-dimensional thermal surface plot may include: filling the waste material layer thickness corresponding to each sub-image into the preset mask corresponding to the sub-image to obtain the region height, then performing Gaussian smoothing on the region height to obtain the smoothed region height, and finally drawing the two-dimensional pseudo-color planar plot and the three-dimensional thermal surface plot based on the smoothed region height.

[0124] Formula (3);

[0125] in, This represents the height of the region at position (x,y). Let represent the pixel value of the preset mask corresponding to the sub-image in the i-th row and j-th column at position (x,y), where i∈[1,r] and j∈[1,c].

[0126] Considering that for each pixel (x, y), it can only belong to one grate region (masks do not overlap and fully cover each other), therefore, for any pixel (x, y), there is one and only one set (i, j) that satisfies Since all others are 0, the addition and multiplication process in formula (3) does not actually require r×c additions and multiplications. Instead, it can be "assigning the corresponding TV value to the pixel whose mask is 1". Based on this principle, formula (3) can be further simplified to: ,in, . Formula (4);

[0127] in, This represents the smoothed region height at position (x,y). Represents a two-dimensional Gaussian kernel. W and H represent the width and height of the sub-image, respectively.

[0128] Optionally, this embodiment can also set a data panel to display in real time a list of TV values ​​for 21 sub-regions, the average thickness of the waste layer in all sub-regions, statistical information (such as maximum / minimum thickness and location), and a waste thickness trend curve.

[0129] Optionally, this embodiment can also set up an alarm and warning mechanism. For example, a bright flashing alarm can be set for areas where the TV value exceeds the safety threshold (e.g., >85 is too thick, <15 is too thin) to prompt the operator to intervene.

[0130] After the above processing, the thickness of the waste material in each sub-area inside the incinerator can be displayed more intuitively. Based on this, the control effect can be seen more in real time, and control parameters (such as the damper opening and operating speed mentioned above) can be manually adjusted.

[0131] In some other embodiments of this application, the process of step S104 described above, which involves "taking the pusher, the drying grate, and the combustion grate as the components to be tested in sequence, determining the operating speed of the components to be tested based on the thickness of the waste layer corresponding to the sub-images of the components to be tested and the downstream components of the components to be tested, and determining the operating speed of the combustion grate based on the thickness of the waste layer corresponding to the sub-images of the combustion grate", will be described.

[0132] First, in this embodiment, the reference speed of the component under test can be determined based on the thickness of the waste layer corresponding to the sub-image of the component under test.

[0133] Optionally, the process for determining the reference speed of the pusher is as follows: average the thickness of the waste layer corresponding to the sub-image of the pusher to obtain the first average value, and perform a first conversion on the first average value to obtain the reference speed of the pusher.

[0134] Figure 5(a) shows a schematic diagram of the refined determination results of the waste layer thickness corresponding to each sub-image. The waste thickness at the upper throat of the pusher is the waste layer thickness corresponding to the sub-image of each of the three pushers, including: 40, 50 and 50; the waste thickness at the upper part of the drying grate is the waste layer thickness corresponding to the sub-image of the drying grate, including: 58, 65 and 62; the waste thickness at the upper part of the combustion grate is the waste layer thickness corresponding to the sub-image of the combustion grate, including: 48, 68, 55, 42, 63, 54, 38, 60 and 58; the waste thickness at the upper part of the burnout grate is the waste layer thickness corresponding to the sub-image of the burnout grate, including: 45, 65, 62, 50, 60 and 58.

[0135] Figure 5(b) is a schematic diagram of the judgment result after preprocessing based on the thickness of the waste layer corresponding to each sub-image. The average thickness of the waste layer corresponding to the sub-image of the pusher is calculated, and the first average value is 47. Therefore, in this embodiment, the first average value can be converted to obtain the reference speed of the pusher.

[0136] Optionally, the first conversion can be performed using the following formula (5).

[0137] Formula (5);

[0138] in, Indicates the reference speed of the feeder. This represents the first mean. Indicates the initial velocity of the feeder. This indicates the preset target material thickness (e.g., 50). This indicates the preset correction factor.

[0139] Optional, The determination process includes: obtaining the theoretical speed of the pusher under the process principle, and the set of historical operating speeds of the pusher within the target time before the current control moment; averaging the historical operating speeds within the set of historical operating speeds to obtain the mean speed corresponding to the set of historical operating speeds; and performing a weighted summation of the theoretical speed and the mean speed, with the resulting weighted sum serving as the... .

[0140] The formula for calculating the theoretical speed of the pusher under the process principle is as follows: ,in, This indicates the volume of waste required per unit of time, in units of... (cubic meters per hour); This represents the reciprocal of the feed throat area, in units of... (per square meter); This represents the theoretical speed of the feeder under the given technological principle, expressed in units of... (meters per hour).

[0141] ,in, This indicates the boiler's thermal efficiency, expressed in % (%). This indicates the enthalpy of boiler steam, expressed in kJ / kg (kilojoules per kilogram). This indicates the boiler steam output setpoint, in units of... (tons per hour); This indicates the lower heating value of waste, expressed in kJ / kg. Indicates the specific gravity of waste, in units of (tons per cubic meter).

[0142] The formula for calculating the mean velocity is: ,in, Indicates the target duration. Indicates the current control moment. Represents the set of historical running speeds. This represents the average speed corresponding to the set of historical running speeds.

[0143] The calculation formula is: ,in, and These represent different calculation coefficients, which are preset values.

[0144] Unlike the overall control method of the pusher, the drying grate, combustion grate and burnout grate all adopt a column-based control method. This is because: although there are multiple pushers, waste incineration usually moves forward and backward synchronously. Therefore, the pusher needs to adopt an overall control method. However, the waste combustion status of each column area of ​​the three grates (for example, the left, middle and right areas when c=3) may be different. Therefore, column-based control can be used to ensure that the waste in each column area can be fully burned.

[0145] Based on this, the optional process for determining the reference speed of the drying grate is as follows: the sub-image corresponding to the drying grate is divided into c first sub-image sets according to its column, the average thickness of the waste material layer corresponding to the sub-image in the first sub-image set is calculated to obtain the second mean, and the second mean is converted to obtain the first column reference speed; the c first column reference speeds are used as the reference speed of the drying grate.

[0146] Referring to Figures 5(a) and 5(b), the sub-images corresponding to the drying grate are divided into 3 (c=3) first sub-image sets according to their columns. Since the drying grate corresponds to a unique row, the thickness of the waste layer corresponding to the sub-image of the drying grate in Figure 5(a) can be used to obtain 3 second average values, which are 58, 65 and 62 in the waste thickness above the drying grate in Figure 5(b). Then, the 3 second average values ​​are converted to obtain 3 first column reference velocities. These 3 first column reference velocities are the reference velocities of the drying grate, that is, the reference velocities of the drying grate include 3 first column reference velocities.

[0147] Similarly, the process of determining the reference speed of the combustion grate is as follows: the sub-image corresponding to the combustion grate is divided into c second sub-image sets according to its column, the average thickness of the waste material layer corresponding to the sub-image in the second sub-image set is calculated to obtain the third mean, and the third mean is converted to obtain the second column reference speed; the c second column reference speeds are used as the reference speed of the combustion grate.

[0148] Referring to Figures 5(a) and 5(b), the sub-images corresponding to the combustion grate are divided into 3 (c=3) second sub-image sets according to their columns. Then, the average thickness of the waste layer corresponding to the sub-images in each second sub-image set is calculated, which is equivalent to averaging 48, 42, and 38 in column A of the waste thickness above the combustion grate, to obtain the third average of 43 (rounding is performed in this application for ease of calculation; in practical applications, rounding can be omitted if the calculation conditions permit, and the same applies below). The average of 68, 63, and 60 in column B is calculated to obtain the third average of 64, and the average of 55, 54, and 58 in column C is calculated to obtain the third average of 56. Then, the third average is converted for each of the three third averages to obtain the three second column reference velocities. These three second column reference velocities are the reference velocities of the combustion grate, that is, the reference velocities of the combustion grate include the three second column reference velocities.

[0149] Similarly, the process of determining the reference speed of the burnout grate is as follows: the sub-image corresponding to the burnout grate is divided into c third sub-image sets according to its column, the average thickness of the waste material layer corresponding to the sub-image in the third sub-image set is calculated to obtain the fourth mean, and the fourth mean is converted to obtain the reference speed in the third column; the c third column reference speeds are used as the reference speed of the burnout grate.

[0150] Referring to Figures 5(a) and 5(b), the sub-images corresponding to the burnout grate are divided into 3 (c=3) third sub-image sets according to their columns. Then, the average thickness of the waste layer corresponding to the sub-images in each third sub-image set is calculated. This is equivalent to averaging the thickness of the waste layer in column A (45 and 50) of the waste layer in the upper part of the burnout grate to obtain the fourth average value 48, averaging the thickness of the waste layer in column B (65 and 60) to obtain the fourth average value 63, and averaging the thickness of the waste layer in column C (62 and 58) to obtain the fourth average value 60. Then, the three fourth average values ​​are converted to obtain the three reference velocities in the third column. These three reference velocities in the third column are the reference velocities of the burnout grate. In other words, the reference velocities of the burnout grate include the three reference velocities in the third column.

[0151] It should be noted that the conversion formulas for the second, third and fourth conversions are similar to the above formula (5). The only difference is that the second, third and fourth conversions are calculated by column, and the specific values ​​of the reference speed, initial speed, correction coefficient and other related coefficients may be different.

[0152] Furthermore, in this embodiment, the speed adjustment factor of the component under test can be determined based on the thickness of the waste layer corresponding to the sub-image of the downstream component.

[0153] Understandably, for the pusher, its downstream components include three grates. Therefore, optionally, the thickness of the waste material layer corresponding to the sub-image of each of the three grates can each determine a speed adjustment factor for the pusher.

[0154] That is, the speed adjustment factor of the pusher includes: the first speed adjustment factor of the pusher, the second speed adjustment factor of the pusher and the third speed adjustment factor of the pusher.

[0155] Based on this, the process of determining the speed adjustment factor of the pusher may include: averaging the thickness of the waste layer corresponding to the sub-image of the drying grate to obtain a fifth average value, and performing a fifth conversion on the fifth average value to obtain the first speed adjustment factor of the pusher; averaging the thickness of the waste layer corresponding to the sub-image of the combustion grate to obtain a sixth average value, and performing a sixth conversion on the sixth average value to obtain the second speed adjustment factor of the pusher; averaging the thickness of the waste layer corresponding to the sub-image of the burnt-out grate to obtain a seventh average value, and performing a seventh conversion on the seventh average value to obtain the third speed adjustment factor of the pusher.

[0156] Optionally, the fifth, sixth, and seventh conversions can use the same calculation formula and correlation coefficient. Of course, in some application scenarios, different calculation formulas or the same calculation formulas with different correlation coefficients can also be used.

[0157] Referring again to Figures 5(a) and 5(b), the fifth mean of 62 can be calculated for the thicknesses of 58, 65, and 62 of the waste above the drying grate. Then, the fifth conversion is performed on the fifth mean to obtain the first speed adjustment factor of the pusher. Similarly, the sixth mean of 54 can be calculated for the thicknesses of 48, 68, 55, 42, 63, 54, 38, 60, and 58 of the waste above the combustion grate. Then, the sixth conversion is performed to obtain the second speed adjustment factor of the pusher. The seventh mean of 57 can be calculated for the thicknesses of 45, 65, 62, 50, 60, and 58 of the waste above the burnt-out grate. Then, the seventh conversion is performed to obtain the third speed adjustment factor of the pusher.

[0158] Similarly, for the drying grate, its downstream components include the combustion grate and the burnout grate. Therefore, optionally, the thickness of the waste layer corresponding to the sub-image of each of the two grates can be determined by a speed adjustment factor of the drying grate.

[0159] That is, the speed adjustment factors of the drying grate include: c first speed adjustment factors of the drying grate and c second speed adjustment factors of the drying grate.

[0160] Based on this, the process of determining the speed adjustment factor of the drying grate may include: performing an eighth conversion on c third means respectively to obtain c first speed adjustment factors of the drying grate, and performing a ninth conversion on c fourth means respectively to obtain c second speed adjustment factors of the drying grate.

[0161] Optionally, the eighth and ninth conversions can use the same calculation formula and correlation coefficient. Of course, in some application scenarios, different calculation formulas or the same calculation formulas can be used, but the correlation coefficients in the formulas are different.

[0162] Referring to Figure 5(b), the third average values ​​of 43, 64 and 56 in the thickness of the waste above the combustion grate can be converted into the eighth value to obtain the c first speed adjustment factors of the drying grate; similarly, the fourth average values ​​of 48, 63 and 60 in the thickness of the waste above the burnt-out grate can be converted into the ninth value to obtain the c second speed adjustment factors of the drying grate.

[0163] Similarly, for a combustion grate, its downstream components include a burnout grate. Therefore, the speed adjustment factor of the combustion grate can be determined column-wise by the thickness of the waste layer corresponding to the sub-image of the burnout grate.

[0164] Optionally, the process of determining the speed adjustment factor of the combustion grate may include: performing a tenth conversion on each of the c fourth mean values ​​to obtain the c speed adjustment factors of the combustion grate.

[0165] Referring to Figure 5(b), the fourth average values ​​of 48, 63 and 60 in the thickness of the waste above the burnt grate can be converted to the tenth value to obtain the c speed adjustment factors of the combustion grate.

[0166] It should be noted that all the above conversions can be function conversions, correspondence conversions, or other types of conversions; this application does not impose any specific limitations.

[0167] After obtaining the above-mentioned reference speed and speed adjustment factor, this embodiment can adjust the reference speed of the component under test according to the speed adjustment factor of the component under test to obtain the operating speed of the component under test.

[0168] More specifically, the reference speed of the pusher is adjusted according to the three speed adjustment factors of the pusher to obtain the running speed of the pusher; the first column of the corresponding column of the drying grate is adjusted to the reference speed according to the two speed adjustment factors of each column of the drying grate to obtain the running speed of the corresponding column of the drying grate, thus obtaining c running speeds of the drying grate; the second column of the corresponding column of the combustion grate is adjusted to the reference speed according to the one speed adjustment factor of each column of the combustion grate to obtain the running speed of the corresponding column of the combustion grate, thus obtaining c running speeds of the combustion grate.

[0169] For a burnout grate, since it has no downstream components, the third column speed of each column of the burnout grate can be directly used as the reference speed as the running speed of the corresponding column of the burnout grate, thus obtaining c running speeds of the burnout grate.

[0170] For example, the formula for calculating the operating speed of the pusher is: ,in, Indicates the operating speed of the feeder. Indicates the reference speed of the feeder. This indicates the first speed adjustment factor of the feeder. This indicates the second speed adjustment factor of the feeder. This represents the third speed adjustment factor of the feeder.

[0171] The formula for calculating the operating speed of the j-th column (j∈[1,c]) of the drying grate is: ,in, This indicates the operating speed of the j-th column of the drying grate; This indicates the speed of the first column of the j-th column of the drying grate towards the reference point; This represents the first speed adjustment factor of the j-th column of the drying grate; This represents the second speed adjustment factor of the j-th column of the drying grate.

[0172] The formula for calculating the operating speed of the j-th column of the combustion grate (j∈[1,c]) is: ,in, This indicates the operating speed of the j-th column of the combustion grate; This indicates the velocity of the second column of the j-th column of the combustion grate towards the reference point; This represents the speed adjustment factor of the j-th column of the combustion grate.

[0173] The formula for calculating the running speed of the j-th column (j∈[1,c]) of the burnout grate is: ,in, This indicates the running speed of the j-th column of the burnout grate; This indicates the speed of the third column of the j-th column of the burnout grate towards the reference speed.

[0174] In summary, this embodiment provides a method for calculating the operating speed of the pusher as a whole and a method for calculating the operating speed of the three grates as a column. Subsequently, the r×c damper openings, one operating speed of the pusher, c operating speeds of the drying grate, c operating speeds of the combustion grate, and c operating speeds of the burnout grate are all sent to the intelligent incineration system or DCS system, which can achieve more accurate and precise control and better control effect.

[0175] The above describes a method for controlling the thickness of the waste incinerator bed provided by the embodiments of this application. The following will describe the apparatus for implementing the above-described method for controlling the thickness of the waste incinerator bed.

[0176] Please see Figure 6 , Figure 6 This is a schematic diagram of a waste incinerator bed thickness control device provided in an embodiment of this application. Figure 6 As shown, the waste incinerator bed thickness control device may include:

[0177] Image acquisition unit 501 is used to acquire images of waste from the throat of the feeder to the end of the burnout grate using an infrared camera installed on the rear wall of the waste incinerator.

[0178] Image grouping unit 502 is used to divide the waste image into r×c sub-images, and further divide the r×c sub-images into sub-images corresponding to the pusher, drying grate, combustion grate and burnout grate, where r is related to the number of transverse furnace sections of each grate and / or the pixel accuracy of the waste image, and c is related to the number of longitudinal furnace columns of each grate.

[0179] The damper opening calculation unit 503 is used to determine the thickness of the waste layer corresponding to each of the r×c sub-images, and to determine the damper opening of the sub-region corresponding to each sub-image based on the thickness of the waste layer corresponding to each sub-image.

[0180] The running speed calculation unit 504 is used to take the pusher, drying grate and combustion grate as the test components in sequence, and determine the running speed of the test components based on the thickness of the waste material layer corresponding to the sub-images of the test components and the downstream components of the test components, and determine the running speed of the combustion grate based on the thickness of the waste material layer corresponding to the sub-images of the combustion grate.

[0181] The control unit 505 is used to coordinate and control the controlled actuators according to the determined damper opening and operating speed.

[0182] Each module in the aforementioned waste incinerator bed thickness control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0183] This application also provides an electronic device, which may include at least one processor and a memory connected to the processor, wherein:

[0184] Memory is used to store computer programs;

[0185] The processor is used to execute computer programs to enable electronic devices to implement any of the waste incinerator bed thickness control methods provided in the embodiments of this application.

[0186] refer to Figure 7 The diagram illustrates a structural schematic suitable for implementing the electronic device in the embodiments of this application. The electronic device in the embodiments of this application may include, but is not limited to, fixed terminals such as mobile phones, laptops, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Figure 7 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0187] like Figure 7 As shown, the electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory 602 or a program loaded from a storage device 608 into a random access memory 603. When the electronic device is powered on, the random access memory 603 also stores various programs and data required for the operation of the electronic device. The processing unit 601, the read-only memory 602, and the random access memory 603 are interconnected via a bus 604. An input / output interface 605 is also connected to the bus 604.

[0188] Typically, the following devices can be connected to the input / output interface 605: input devices 606 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 608 including, for example, memory card, hard disk, etc.; and communication devices 609. Communication device 609 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 7 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown. More or fewer devices may be implemented or have alternatively.

[0189] This application also provides a computer program product including computer-readable instructions, which, when executed on an electronic device, cause the electronic device to implement any of the waste incinerator bed thickness control methods provided in this application.

[0190] This application also provides a computer-readable storage medium carrying one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any of the waste incinerator bed thickness control methods provided in this application.

[0191] It should also be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. In addition, in the device embodiment drawings provided in this application, the connection relationship between modules indicates that they have a communication connection, which can be implemented as one or more communication buses or signal lines.

[0192] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware, or it can be implemented by special-purpose hardware including application-specific integrated circuits, special-purpose CPUs, special-purpose memory, special-purpose components, etc. Generally, any function performed by a computer program can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be diverse, such as analog circuits, digital circuits, or special-purpose circuits. However, for this application, software program implementation is more often the preferred implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium, such as a computer floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk, or optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, training equipment, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0193] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product.

[0194] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, training device, or data center to another website, computer, training device, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

Claims

1. A method for controlling the thickness of the feed bed in a waste incinerator, characterized in that, include: Infrared cameras installed on the rear wall of the waste incinerator capture images of the entire waste area from the feeder throat to the end of the burnt-out grate. The waste image is divided into r×c sub-images, and the r×c sub-images are further divided into sub-images corresponding to the pusher, drying grate, combustion grate and burnout grate, where r is related to the number of transverse furnace sections of each grate and / or the pixel accuracy of the waste image, and c is related to the number of longitudinal furnace columns of the grate. Determine the thickness of the waste layer corresponding to each of the r×c sub-images, and determine the damper opening of the sub-region corresponding to each sub-image based on the thickness of the waste layer corresponding to each sub-image; The pusher, the drying grate, and the combustion grate are sequentially used as test components. The operating speed of the test component is determined based on the thickness of the waste layer corresponding to the sub-image of each test component and its downstream component. The operating speed of the combustion grate is determined based on the thickness of the waste layer corresponding to the sub-image of the combustion grate. The controlled actuators are coordinated and controlled according to the determined damper opening and operating speed. The step of determining the operating speed of the component under test based on the thickness of the waste layer corresponding to the sub-images of the component under test and its downstream components includes: The reference speed of the component under test is determined based on the thickness of the waste layer corresponding to the sub-image of the component under test. The speed adjustment factor of the component under test is determined based on the thickness of the waste layer corresponding to the sub-image of the downstream component. The reference speed of the component under test is adjusted according to the speed adjustment factor of the component under test to obtain the operating speed of the component under test.

2. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 1, characterized in that, Determining the thickness of the waste layer corresponding to each of the r×c sub-images includes: The pixel values ​​of each sub-image are processed by Gaussian weighted averaging using a preset Gaussian weight matrix to obtain the average thermal radiation intensity of the garbage corresponding to each sub-image. The weight values ​​in the Gaussian weight matrix gradually decrease from the center pixel to the edge pixel. The average thermal radiation intensity of the waste corresponding to each sub-image is scaled to a preset range to obtain the waste layer thickness corresponding to each sub-image.

3. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 2, characterized in that, The infrared camera is a mid-band infrared camera with a working wavelength in the range of 3-5 micrometers.

4. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 1, characterized in that, The step of determining the reference speed of the component under test based on the thickness of the waste layer corresponding to the sub-image of the component under test includes: The average thickness of the waste layer corresponding to the sub-image of the pusher is calculated to obtain a first average value, and a first conversion is performed on the first average value to obtain the reference speed of the pusher. The sub-images corresponding to the drying grate are divided into c first sub-image sets according to their columns. The average thickness of the waste material layer corresponding to the sub-images in the first sub-image sets is calculated to obtain a second mean value. The second mean value is then converted to obtain a first column reference velocity. The c first column reference velocities are used as the reference velocities of the drying grate. The sub-image corresponding to the combustion grate is divided into c second sub-image sets according to its column. The thickness of the waste layer corresponding to the sub-image in the second sub-image set is averaged to obtain a third mean. The third mean is then converted to obtain a second column reference velocity. The c second column reference velocities are used as the reference velocities of the combustion grate.

5. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 4, characterized in that, The step of determining the operating speed of the burnout grate based on the thickness of the waste layer corresponding to the sub-image of the burnout grate includes: The sub-images corresponding to the burnout grate are divided into c third sub-image sets according to their columns. The average thickness of the waste layer corresponding to the sub-images in the third sub-image sets is calculated to obtain a fourth mean value. The fourth mean value is then converted to obtain the third column reference speed. The c third column reference speeds are used as the operating speed of the burnout grate.

6. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 5, characterized in that, The step of determining the velocity adjustment factor of the component under test based on the thickness of the waste layer corresponding to the sub-image of the downstream component includes: The average thickness of the waste material layer corresponding to the sub-image of the drying grate is calculated to obtain the fifth average value, and the fifth average value is converted to obtain the first speed adjustment factor of the pusher. The average thickness of the waste material layer corresponding to the sub-image of the combustion grate is calculated to obtain the sixth average value, and the sixth average value is converted to obtain the second speed adjustment factor of the pusher. The average thickness of the waste material layer corresponding to the sub-image of the burnt-out grate is calculated to obtain the seventh average value, and the seventh average value is converted to obtain the third speed adjustment factor of the pusher. The c third average values ​​are converted into c first speed adjustment factors for the drying grate by performing an eighth conversion. The ninth conversion is performed on each of the c fourth average values ​​to obtain the c second speed adjustment factors of the drying grate; The c fourth average values ​​are converted to tenth values ​​to obtain c speed adjustment factors of the combustion grate.

7. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 6, characterized in that, The first conversion is performed using the target formula; The target formula is: ; In the first conversion, This indicates the reference speed of the pusher. This represents the first mean. This indicates the initial velocity of the pusher. This indicates the preset first target material thickness. This represents the preset first correction factor.

8. The method for controlling the thickness of the feed bed in a waste incinerator according to claim 7, characterized in that, The process of determining includes: Obtain the theoretical speed of the pusher under the process principle, and the set of historical operating speeds of the pusher within the target time before the current control moment; The average speed corresponding to the historical operating speed set is obtained by averaging the historical operating speeds within the set of historical operating speeds. The theoretical velocity and the mean velocity are weighted and summed to obtain the weighted sum value. .

9. A device for controlling the thickness of the waste incinerator bed, wherein the device is applied to the waste incinerator bed thickness control method according to any one of claims 1-8, characterized in that, The device includes: The image acquisition unit is used to acquire images of the waste from the throat of the feeder to the end of the burnt grate using an infrared camera installed on the rear wall of the waste incinerator. An image grouping unit is used to divide the waste image into r×c sub-images, and further divide the r×c sub-images into sub-images corresponding to the pusher, drying grate, combustion grate, and burnout grate, wherein r is related to the number of transverse furnace sections of each grate and / or the pixel accuracy of the waste image, and c is related to the number of longitudinal furnace columns of the grate. The damper opening calculation unit is used to determine the thickness of the waste layer corresponding to each of the r×c sub-images, and to determine the damper opening of the sub-region corresponding to each sub-image based on the thickness of the waste layer corresponding to each sub-image. The operating speed calculation unit is used to take the pusher, the drying grate and the combustion grate as the test components in sequence, and determine the operating speed of the test component based on the thickness of the waste material layer corresponding to the sub-image of each of the test components and the downstream components of the test component, and determine the operating speed of the combustion grate based on the thickness of the waste material layer corresponding to the sub-image of the combustion grate. The control unit is used to coordinate and control the controlled actuators according to the determined damper opening and operating speed.

Images