Chain boiler control method, device, equipment and medium

Abstract

The invention discloses a chain-grate boiler control method, device and equipment and a medium, and relates to the technical field of chain-grate boiler control. The method comprises the steps that a flame radiation image in a chain-grate boiler is collected through video collection equipment; based on preset flame analysis software, determining a temperature field corresponding to the chain boiler, a live wire length and a current fuel material layer thickness according to the flame radiation image; the length of the live wire is used for representing the range length of a main combustion area of the chain-grate boiler; using a pre-trained material layer thickness prediction model to predict the fuel material layer thickness after the target time according to the temperature field, the live wire length and the current fuel material layer thickness; according to the external thermal load requirement, the temperature field, the live wire length and the fuel material layer thickness after the target time, an adjusting strategy is determined, the fire grate speed, the blast speed and the fuel material layer thickness of the chain boiler are adjusted based on the adjusting strategy, and control over the chain boiler is achieved. Therefore, the problem that the combustion state in the furnace cannot be visually monitored is solved.

Description

Technical Field

[0001] This invention relates to the field of chain grate boiler control technology, and in particular to a chain grate boiler control method, device, equipment and medium. Background Technology

[0002] Chain grate boilers are currently the most widely used and structurally sound mechanized stoker-fired boilers. Due to the advantages of solid fuel stoker-fired boilers, such as simple operation, wide fuel adaptability, small furnace volume requirement, low self-power consumption, and wide load variation range, they are widely used in small-capacity boilers. Chain grate boilers are mostly used in boilers with capacities of 4–65 t / h, and are also used in 100 t / h boilers.

[0003] Chain grate boilers have poor ignition conditions. Coal ignition relies primarily on the radiant heat of the furnace flame and the arch. Fuel is added from the coal hopper to the chain grate, which then slowly moves the fuel from the front to the back of the furnace. Because there is no relative movement between the fuel layer and the grate, the fuel moves with the grate. Therefore, the coal at the top ignites first and then gradually burns downwards. The combustion process is not as intense or complete as in chamber-fired or fluidized bed boilers. This combustion process results in a chain grate boiler's combustion efficiency of only about 60% to 70%. If the air distribution is inappropriate, or the air ratio is not compatible with the coal type, the boiler's flue gas losses and incomplete mechanical combustion losses may be even greater, ultimately leading to even lower boiler efficiency.

[0004] Chain grate boilers were widely used in early municipal heating systems due to their small size and low construction investment. Because of the limited on-site equipment, early systems used instrument panels for control and monitoring; even after upgrades to DCS (Distributed Control System) systems, centralized control and monitoring were only achieved. This is because many valves on-site are manually controlled, and the combustion conditions inside the furnace are complex. 1) The calorific value of the coal entering the furnace varies greatly, the thickness of the coal bed needs to be manually adjusted, and the amount of coal entering the furnace cannot be measured. 2) The grate moves continuously, and the temperature measuring points inside the furnace cannot radiate the entire furnace chamber, thus failing to reflect the combustion state inside the furnace. 3) The fuel will move and burn along with the grate, which cannot accurately reflect the length of the fire line. If the flameout occurs, manual observation and judgment are required. 4) The air chamber valves are basically manual and cannot be coordinated with the grate and blower to adjust the overall combustion status.

[0005] It is evident that identifying changes in combustion within the furnace and addressing the issue of high labor intensity in manual adjustments are issues that need to be considered. Summary of the Invention

[0006] In view of this, the purpose of this invention is to provide a chain grate boiler control method, device, equipment, and medium that can quickly identify combustion changes, solve the problem of high labor intensity in manual adjustments, and solve the problem of not being able to directly monitor the combustion state inside the furnace. The specific solution is as follows: In a first aspect, this application discloses a chain grate boiler control method, including: Use video capture equipment to capture images of flame radiation inside a chain grate boiler; Based on the flame radiation image, the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler are determined using preset flame analysis software; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler. The fuel bed thickness prediction model, which is pre-trained, is used to predict the fuel bed thickness after a target time based on the temperature field, the fire line length, and the current fuel bed thickness. An adjustment strategy is determined based on the external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time. Based on the adjustment strategy, the grate speed, blast speed, and fuel bed thickness of the chain grate boiler are adjusted to achieve control of the chain grate boiler.

[0007] Optionally, before acquiring the flame radiation image inside the chain grate boiler using the video acquisition device, the method further includes: The video acquisition device is installed at the tail end of the chain grate boiler, and the shooting range of the video acquisition device is controlled to cover the preset middle and rear sections of the entire grate of the chain grate boiler.

[0008] Optionally, the temperature field corresponding to the chain grate boiler is determined based on the flame radiation image using preset flame analysis software, including: Based on the preset flame analysis software, the grate of the chain boiler is divided into a target number of zones with the same area; Based on a preset benchmark flame intensity reference point, the flame intensity of each zone in the flame radiation image is converted into a temperature simulation quantity, and the temperature field corresponding to the chain grate boiler is determined using each of the temperature simulation quantities.

[0009] Optionally, the length of the fire line corresponding to the chain grate boiler is determined based on the flame radiation image using preset flame analysis software, including: Based on the preset flame analysis software, the temperature at various points in the temperature field corresponding to the chain grate boiler is determined according to the flame radiation image; The length corresponding to the temperature within the preset combustion start temperature threshold and the preset burnout temperature threshold range is defined as the fire wire length.

[0010] Optionally, the current fuel bed thickness corresponding to the chain grate boiler is determined based on the flame radiation image using preset flame analysis software, including: Based on the flame color and spectral information in the flame radiation image, the current fuel bed thickness of the chain grate boiler is determined using preset flame analysis software.

[0011] Optionally, determining the adjustment strategy based on external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time includes: If the external heat load demand is to increase the load, then the length of the fire wire is compared with a preset length threshold. If the length of the fire wire is greater than the first length threshold and less than the second length threshold, then increase the grate speed and the blower speed. If the length of the fire wire is greater than the second length threshold, then the grate speed is reduced and the blower speed is increased; If the length of the fire wire is less than the first length threshold, then increase the grate speed and decrease the blower speed; If the external heat load demand is to reduce the load, then directly reduce the grate speed and the blower speed; The adjustment strategy is determined based on the temperature field, the fire line length, and the fuel bed thickness after the target time.

[0012] Optionally, determining the adjustment strategy based on the temperature field, the fire line length, and the fuel bed thickness after the target time includes: The lateral distribution of the temperature field is used to determine whether the combustion on the left and right sides of the grate is symmetrical, and the fuel distribution on the grate is used to determine whether the fuel distribution is uniform. If the flame is uneven, then determine the intensity of the combustion flame; If the intensity of the combustion flame meets the preset first condition, then reduce the grate speed; If the intensity of the combustion flame meets the preset second condition, then increase the grate speed; If the external heat load demand remains unchanged, the length of the fire wire is compared with a preset length threshold. If the length of the fire wire is greater than the first length threshold and less than the second length threshold, then increase the grate speed and the blower speed. If the length of the fire wire is greater than the second length threshold, then the grate speed is reduced and the blower speed is increased; If the length of the fire wire is less than the first length threshold, then increase the grate speed and decrease the blower speed; If the fuel bed thickness after the target time is greater than the preset thickness threshold, then reduce the grate speed or reduce the fuel bed thickness by adjusting the feed.

[0013] Secondly, this application discloses a chain grate boiler control device, comprising: Image acquisition module, used to acquire flame radiation images inside chain grate boiler using video acquisition equipment; The information determination module is used to determine the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler based on the flame radiation image using preset flame analysis software; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler. The fuel layer thickness prediction module is used to predict the fuel layer thickness after a target time based on the temperature field, the fire line length and the current fuel layer thickness using a pre-trained fuel layer thickness prediction model. The adjustment module is used to determine an adjustment strategy based on the external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time. Based on the adjustment strategy, the grate speed, blast speed, and fuel bed thickness of the chain grate boiler are adjusted to achieve control of the chain grate boiler.

[0014] Thirdly, this application discloses an electronic device, including: Memory, used to store computer programs; A processor is used to execute computer programs to implement the chain grate boiler control method described above.

[0015] Fourthly, this application discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the chain grate boiler control method as described above.

[0016] This application first uses video acquisition equipment to capture flame radiation images inside a chain grate boiler. Based on preset flame analysis software, it determines the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler from the flame radiation images. The fire line length is the range length used to characterize the main combustion zone of the chain grate boiler. Using a pre-trained fuel bed thickness prediction model, it predicts the fuel bed thickness after a target time based on the temperature field, fire line length, and current fuel bed thickness. Based on external heat load demand, the temperature field, fire line length, and fuel bed thickness after the target time, it determines an adjustment strategy. Based on this adjustment strategy, it controls the grate speed, blast speed, and fuel bed thickness of the chain grate boiler, thereby achieving control of the chain grate boiler. As can be seen, this application uses image processing to identify the temperature field of the entire grate, automatically extracting important information from the video image. It can characterize the lateral distribution of fuel thickness in the later stages of combustion, thereby determining whether there is uneven fuel distribution and changes in combustion temperature and fire line length within the reactor. Finally, it determines the corresponding adjustment scheme to achieve control of the chain grate boiler. This solves the problems of high labor intensity in manual adjustments and the inability to directly monitor the combustion state within the furnace. Reduce the labor intensity of personnel, promptly detect changes in combustion inside the furnace, and avoid the social impact of furnace shutdown. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0018] Figure 1 This application discloses a flowchart of a chain grate boiler control method. Figure 2 This is a schematic diagram of a camera installation location disclosed in this application; Figure 3 This is a schematic diagram of a material layer thickness prediction model disclosed in this application; Figure 4 This application discloses a specific flowchart of a chain grate boiler control method. Figure 5 This is a schematic diagram of the structure of a chain grate boiler control device disclosed in this application; Figure 6 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] In some existing technologies, a combination of manual on-site observation and semi-automatic adjustment is mainly used (the main observation point is the observation hole near the main combustion chamber of the boiler, and most of the time, the entire combustion line of the grate is observed manually). However, this method is highly dependent on the operator's experience, involves excessive labor intensity (requiring frequent on-site observation), and makes it difficult to adjust and stabilize combustion in advance when the calorific value changes significantly. Furthermore, some current solutions only achieve simple steady-state automation and cannot adapt to or respond quickly to changes in internal combustion. To solve the above technical problems, this application discloses a chain grate boiler control method, device, equipment, and medium that can quickly identify combustion changes, solve the problem of high labor intensity in manual adjustment, and address the issue of not being able to directly monitor the combustion state inside the furnace.

[0021] See Figure 1 As shown in the figure, an embodiment of the present invention discloses a chain grate boiler control method, including: Step S11: Use video acquisition equipment to acquire flame radiation images inside the chain grate boiler.

[0022] In this embodiment, the camera is first selected based on site requirements, and its installation location is determined. The video acquisition device is installed at the tail end of the chain grate boiler, and its shooting range is controlled to cover the pre-defined middle and rear sections of the entire grate of the chain grate boiler. Specifically, the camera usage requirements are determined based on the combustion temperature inside the furnace; the camera will definitely be installed at the tail end. Figure 2 As shown, the camera was adjusted to illuminate more of the middle and rear sections of the grate, providing a larger area for subsequent data conversion.

[0023] Step S12: Based on the preset flame analysis software, determine the temperature field, fire line length, and current fuel layer thickness of the chain grate boiler according to the flame radiation image; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler.

[0024] In this embodiment, the acquired flame emission radiation image is converted into temperature, and the combustion state and whether the coal is completely burned are determined by the flame emission radiation image. Through temperature analysis, the existing combustion line length is simulated and converted to ensure maximum combustion while preventing incompletely burned coal from falling to the tail end and causing waste. Therefore, this application divides the grate of the chain grate boiler into a target number of zones of the same area based on preset flame analysis software; the flame intensity of each zone in the flame radiation image is converted into a temperature analog quantity according to a preset benchmark flame intensity benchmark point, and the temperature field corresponding to the chain grate boiler is determined using each of the temperature analog quantities. The method for identifying the combustion zone is to convert the intensity of the flame signal in the video signal into an analog signal, set a benchmark flame intensity benchmark point (the flame intensity is converted into a temperature analog quantity from 0 to 1000 by software), and characterize the combustion state of the entire furnace by the temperature of different converted areas. RGB color camera temperature measurement principle: The flame temperature measurement method is mainly based on the flame emission radiation image acquired by a color CCD camera (charge couple device) to calculate its temperature. Figure 1 As shown, in the image captured by the color CCD camera, each pixel is composed of three grayscale components: R, G, and B (i.e., red, green, and blue); calculated according to the standards issued by the International Commission on Illumination (CIE).

[0025] Therefore, in this application, the camera is connected to the company's flame video analysis and thickness prediction software via a network switch. The software performs data conversion, primarily dividing the temperature field distribution. Through image conversion of these partitions, the area map of each area is converted into an analog numerical value, indicating the combustion temperature within that area. Image conversion replaces temperature measurement elements. Temperature characterizes combustion intensity and indicates whether combustion within the area is normal. For example, the image is divided into 24 or 36 equal parts, and a temperature point is extracted and converted from each division area. This converts the combustion temperature measurement points within the entire grate into multiple points, far exceeding the original design of 1 to 2 points, thus better characterizing the combustion state within the furnace.

[0026] In addition, based on the flame radiation image, the temperature at various points in the temperature field corresponding to the chain grate boiler is determined by the preset flame analysis software. The length corresponding to the temperature within the preset combustion start temperature threshold and preset burnout temperature threshold range is determined as the fire line length. Based on the flame color and spectral information in the flame radiation image, the current fuel layer thickness corresponding to the chain grate boiler is determined by the preset flame analysis software. According to the image, the software can determine how thick the burning coal is now. Based on the flame temperature of the entire combustion area, it can determine whether it is completely burning, burning on one side, or burning locally. At the very end, the flame intensity is used to determine whether the fuel is burnout or still burning when it reaches the end. If the flame intensity is very high, it means that the fuel is burning vigorously, indicating that the grate speed is too fast and the fuel is pushed to the end before complete combustion. The grate speed needs to be adjusted and reduced. A low flame intensity value is set, and the area from the start point to the low value represents the fire line length. If the flame intensity at the end is very low, below the low value, it proves that the fire line length is insufficient, the combustion area is insufficient, and the load response capacity may be weak. In this case, the grate speed can be increased slightly and the blower frequency can be reduced slightly to ensure load stability. In other words, changes in combustion chromatograms can be virtually converted into flame intensity and the length of the fire line (combustion flame) across the entire combustion area, as well as the thickness of the combustion layer predicted based on chromatograms. After analysis and conversion by video analysis software, the temperature points, fire line length, and combustion layer thickness are transmitted to the optimization control software. Based on this data, the optimization control software can then establish a combustion mechanism model for the grate.

[0027] Step S13: Using a pre-trained fuel layer thickness prediction model, predict the fuel layer thickness after the target time based on the temperature field, the fire line length, and the current fuel layer thickness.

[0028] In this embodiment, fuel combustion is a gradual process. Fuel in the initial combustion stage moves through the grate and, after a period of time, is pushed to the later combustion stage. Therefore, the flame condition in the later combustion stage of the flame monitoring image can reflect the combustion condition in the initial combustion stage some time ago. If the change in fuel thickness in the later combustion stage over approximately 10 minutes can be effectively predicted, the fuel thickness in the initial combustion stage can be estimated, thereby adjusting the corresponding control strategy to achieve more uniform combustion. Therefore, this application constructs... Figure 3 The fuel layer thickness prediction model shown uses a pre-trained model to predict the fuel layer thickness after a target time based on the temperature field, the ignition line length, and the current fuel layer thickness. This application utilizes combustion mechanisms, expert experience, and statistical methods to determine the input and output variables; then, it leverages the nonlinear approximation capabilities of tools such as neural networks and support vector machines to obtain an approximation function relationship between the input and output through continuous training, thereby obtaining the pre-trained fuel layer thickness prediction model.

[0029] Step S14: Determine an adjustment strategy based on the external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time. Based on the adjustment strategy, control the grate speed, blast speed, and fuel bed thickness of the chain grate boiler to achieve control of the chain grate boiler.

[0030] In this embodiment, the combustion status of the flame is determined based on the area of ​​the flame combustion zone. The side length of the flame area on both sides of the grate is converted into the length of the combustion fire line (the length of the fire line represents the main combustion zone of the fuel on the entire grate). Subsequently, the length of the combustion fire line is compared with the system's preset combustion fire line length, and the grate speed and blower frequency are adjusted according to the deviation. This adjustment is made to respond to load demand. For example, in one case, if the load needs to be increased, and the fire line length is less than the preset value, the grate and blower frequency can be increased normally to increase the load. If the fire line length is greater than the preset value, in one case, the grate speed needs to be reduced and the blower frequency increased. Therefore, specifically, after determining the external heat load demand, temperature field, fire line length, and fuel bed thickness after the target time, this application first adjusts the fuel bed according to the external heat load demand, including but not limited to the following methods: if the external heat load demand is to increase the load, the fire line length is compared with a preset length threshold; if the fire line length is greater than a first length threshold and less than a second length threshold, the grate speed and blast speed are increased; if the fire line length is greater than the second length threshold, the grate speed is decreased and the blast speed is increased; if the fire line length is less than the first length threshold, the grate speed is increased and the blast speed is decreased; if the external heat load demand is to reduce the load, the grate speed and blast speed are directly decreased. Next, based on the lateral distribution of the temperature field, the symmetry of combustion on both sides of the grate is determined, and the uniformity of fuel distribution on the grate is determined based on the corresponding judgment results. If it is not uniform, the combustion flame intensity is judged. If the combustion flame intensity meets a preset first condition, the grate speed is reduced; if the combustion flame intensity meets a preset second condition, the grate speed is increased. If the external heat load demand remains unchanged, the fire line length is compared with a preset length threshold. If the fire line length is greater than the first length threshold and less than the second length threshold, the grate speed and blast speed are increased; if the fire line length is greater than the second length threshold, the grate speed is reduced and the blast speed is increased; if the fire line length is less than the first length threshold, the grate speed is increased and the blast speed is decreased. If the fuel bed thickness after the target time is greater than a preset thickness threshold, the grate speed is reduced or the fuel bed thickness is reduced by adjusting the feed. Finally, the analysis results can be converted into data and introduced into the control loop of the distributed control system to realize the automated control of the chain grate boiler. In the above process, unevenness is not simply a matter of increasing the grate speed. It may depend on the intensity of the combustion flame. If the flame intensity is high, the grate speed can be reduced; if the flame intensity is low, the grate speed needs to be increased. Both operations aim to maintain continuous fire and lengthen the fire line. The distance from the longest fire line to the end should also be considered. If the longest fire line is very close to the end, the grate speed should also be reduced.

[0031] In summary, this application first uses video acquisition equipment to acquire flame radiation images inside a chain grate boiler; based on preset flame analysis software, it determines the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler according to the flame radiation images; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler; using a pre-trained fuel bed thickness prediction model, it predicts the fuel bed thickness after a target time based on the temperature field, fire line length, and current fuel bed thickness; based on external heat load demand, the temperature field, fire line length, and fuel bed thickness after the target time, it determines an adjustment strategy, and based on the adjustment strategy, it controls the grate speed, blast speed, and fuel bed thickness of the chain grate boiler to achieve control of the chain grate boiler. It can be seen that this application, through image processing, identifies the temperature field of the entire grate, automatically extracts important information from the video image, and can characterize the lateral distribution of fuel thickness in the later stage of combustion, thereby determining whether there is uneven fuel distribution and changes in combustion temperature and fire line length in the reactor. Finally, it determines the corresponding adjustment scheme to achieve control of the chain grate boiler. This solves the problems of high labor intensity in manual adjustments and the inability to directly monitor the combustion status inside the furnace. It reduces the labor intensity of personnel, allows for timely detection of changes in combustion inside the furnace, and avoids the social impact of furnace shutdowns.

[0032] Based on the previous embodiment, this application discloses a chain grate boiler control method that can reduce the labor intensity of personnel and promptly detect changes in combustion within the furnace. During the entire combustion process, there will inevitably be a portion that is not burned, not completely burned, or not burned at all on one side. Our current approach is to use a camera to capture image signals, which, after software processing, convert the combustion state of the entire grate plane into an analog quantity: converting the collected flame radiation image into temperature, and using the flame radiation image to determine the coal combustion state and whether it is completely burned. Through temperature analysis, the existing combustion line length is simulated to ensure maximum combustion while preventing incompletely burned coal from falling to the tail end and causing coal waste.

[0033] The specific implementation process is as follows: Figure 4As shown, the camera images are connected to analysis and conversion software: flame video analysis and thickness prediction software. Within the software, based on the initial design, the temperature of different equally divided areas is identified, and the entire combustion area is determined. The flame intensity on both sides of the grate is identified and converted into the fire line length. The flame intensity at the end is identified to determine whether the fuel is completely burned (for example, based on a preset burnout temperature of 300 degrees Celsius, below 300 degrees Celsius indicates burnout, above 300 degrees Celsius indicates burning). The lengths of the left, right, and middle fire lines indicate whether there is uneven burning. For example, if the preset normal fire line length is 5 meters, and the left side is 4.8 meters, the middle is 4 meters, and the right side is only 3 meters, then uneven burning has occurred. Real-time analysis of the combustion flame video: Through video analysis equipment and software, the temperature field is analyzed in real time, and the analysis results are converted into data and introduced into the DCS automatic control loop. Video analysis of coal distribution: Through video analysis and recognition, the coal distribution is analyzed, and combined with process data, the coal layer thickness, uneven burning, and thorough burning are predicted. Combustion status and coal seam thickness prediction: Through data mining analysis, the relationships between variables are identified. Combined with video flame analysis and coal seam thickness prediction, future combustion and feeding conditions are predicted and analyzed. The method for identifying the combustion zone involves converting the intensity of the flame signal in the video signal into an analog signal, setting a benchmark flame intensity point (flame intensity is converted into a temperature analog quantity from 0 to 1000 by software), and using the converted temperatures of different areas to characterize the combustion state within the entire furnace, replacing thermocouples that cannot be installed. Furthermore, the combustion status can be determined based on the area of ​​the flame combustion zone. The side lengths of the flame areas on both sides of the grate are converted into the combustion line length (the fire line length characterizes the main combustion zone of the fuel on the entire grate). Subsequently, the combustion line length is compared with the system's preset combustion line length, and the grate speed and blower frequency are adjusted based on the deviation to respond to load demands. For example, in one scenario, if a load increase is needed and the fire line length is less than the preset value, the grate and blower frequency can be increased normally to increase the load. If the fire line length is greater than the preset value, the grate speed needs to be reduced and the blower frequency increased. Based on the image, the software can determine the thickness of the burning coal. By analyzing the flame temperature across the entire combustion zone, it can determine whether the combustion is complete, unilateral, or partial. At the very end, the flame intensity indicates whether the fuel is completely burned or still burning. If the flame intensity is high, it means the fuel is burning vigorously, but the grate speed is too fast, pushing the fuel to the end before complete combustion. The grate speed needs to be reduced. A low flame intensity value is set, and the area from the starting point to this low value represents the fire line length. If the flame intensity at the end is very low, below the low value, it indicates insufficient fire line length and combustion area, potentially resulting in weak load response. In this case, the grate speed can be slightly increased while the blower frequency is slightly decreased to ensure load stability. Finally, the appropriate adjustment strategy is determined to achieve automated control of the chain grate boiler.

[0034] In this way, this application establishes and corrects the furnace temperature distribution field and combustion model through real-time video signals, enabling the modification of existing optimized combustion control. This reduces the workload of personnel, allows for timely detection of combustion changes within the furnace, and avoids the social impact of furnace shutdowns. The program can quickly adjust combustion changes based on the data model converted from video images, thereby improving timeliness.

[0035] See Figure 5 As shown, an embodiment of the present invention discloses a chain grate boiler control device, comprising: Image acquisition module 11 is used to acquire flame radiation images inside the chain grate boiler using video acquisition equipment; Information determination module 12 is used to determine the temperature field, fire line length, and current fuel layer thickness of the chain grate boiler based on the flame radiation image using preset flame analysis software; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler; The fuel layer thickness prediction module 13 is used to predict the fuel layer thickness after a target time based on the temperature field, the fire line length and the current fuel layer thickness using a pre-trained fuel layer thickness prediction model. The adjustment module 14 is used to determine an adjustment strategy based on the external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time. Based on the adjustment strategy, the grate speed, blast speed, and fuel bed thickness of the chain grate boiler are adjusted to achieve control of the chain grate boiler.

[0036] In summary, this application first uses video acquisition equipment to acquire flame radiation images inside a chain grate boiler; based on preset flame analysis software, it determines the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler according to the flame radiation images; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler; using a pre-trained fuel bed thickness prediction model, it predicts the fuel bed thickness after a target time based on the temperature field, fire line length, and current fuel bed thickness; based on external heat load demand, the temperature field, fire line length, and fuel bed thickness after the target time, it determines an adjustment strategy, and based on the adjustment strategy, it controls the grate speed, blast speed, and fuel bed thickness of the chain grate boiler to achieve control of the chain grate boiler. It can be seen that this application, through image processing, identifies the temperature field of the entire grate, automatically extracts important information from the video image, and can characterize the lateral distribution of fuel thickness in the later stage of combustion, thereby determining whether there is uneven fuel distribution and changes in combustion temperature and fire line length in the reactor. Finally, it determines the corresponding adjustment scheme to achieve control of the chain grate boiler. This solves the problems of high labor intensity in manual adjustments and the inability to directly monitor the combustion status inside the furnace. It reduces the labor intensity of personnel, allows for timely detection of changes in combustion inside the furnace, and avoids the social impact of furnace shutdowns.

[0037] In some specific embodiments, the apparatus may further include: The installation module is used to install the video acquisition device at the tail end of the chain grate boiler and control the shooting range of the video acquisition device to cover the preset middle and rear sections of the entire grate of the chain grate boiler.

[0038] In some specific embodiments, the information determination module 12 may specifically include: A partitioning unit is used to divide the grate of the chain grate boiler into a target number of partitions with the same area based on a preset flame analysis software. The temperature field determination unit is used to convert the flame intensity of each zone in the flame radiation image into a temperature analog quantity based on a preset reference flame intensity reference point, and to determine the temperature field corresponding to the chain grate boiler using each of the temperature analog quantities.

[0039] In some specific embodiments, the information determination module 12 may specifically include: The temperature determination unit is used to determine the temperature at various points in the temperature field corresponding to the chain grate boiler based on the flame radiation image using preset flame analysis software. The fire wire length determination unit is used to determine the length corresponding to the temperature within the preset combustion start temperature threshold and the preset burnout temperature threshold range as the fire wire length.

[0040] In some specific embodiments, the information determination module 12 may specifically include: The fuel bed thickness determination unit is used to determine the current fuel bed thickness of the chain grate boiler based on the flame color and spectral information in the flame radiation image using preset flame analysis software.

[0041] In some specific embodiments, the adjustment module 14 can be used to compare the length of the fire line with a preset length threshold if the external heat load demand is to increase the load; if the length of the fire line is greater than a first length threshold and less than a second length threshold, then increase the grate speed and the blast speed; if the length of the fire line is greater than the second length threshold, then decrease the grate speed and increase the blast speed; if the length of the fire line is less than the first length threshold, then increase the grate speed and decrease the blast speed; if the external heat load demand is to reduce the load, then directly decrease the grate speed and the blast speed; and determine the adjustment strategy based on the temperature field, the length of the fire line, and the fuel bed thickness after the target time.

[0042] In some specific embodiments, the adjustment module 14 can be used to determine whether the combustion on the left and right sides of the grate is symmetrical based on the lateral distribution of the temperature field, and to determine whether the fuel distribution on the grate is uniform based on the corresponding determination result; if it is not uniform, the intensity of the combustion flame is determined; if the intensity of the combustion flame meets a preset first condition, the grate speed is reduced; if the intensity of the combustion flame meets a preset second condition, the grate speed is increased; if the external heat load demand remains unchanged, the length of the fire line is compared with a preset length threshold; if the length of the fire line is greater than the first length threshold and less than the second length threshold, the grate speed and the blast speed are increased; if the length of the fire line is greater than the second length threshold, the grate speed is reduced and the blast speed is increased; if the length of the fire line is less than the first length threshold, the grate speed is increased and the blast speed is decreased; if the fuel layer thickness after the target time is greater than a preset thickness threshold, the grate speed is reduced or the fuel layer thickness is reduced by adjusting the feeding.

[0043] Furthermore, embodiments of this application also disclose an electronic device, Figure 6 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0044] Figure 6 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the chain grate boiler control method disclosed in any of the foregoing embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0045] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0046] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0047] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the chain grate boiler control method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include a computer program capable of performing other specific tasks.

[0048] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned chain grate boiler control method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0049] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0050] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0051] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0052] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0053] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A chain grate boiler control method, characterized in that, include: Use video capture equipment to capture images of flame radiation inside a chain grate boiler; Based on the flame radiation image, the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler are determined using preset flame analysis software; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler. The fuel bed thickness prediction model, which is pre-trained, is used to predict the fuel bed thickness after a target time based on the temperature field, the fire line length, and the current fuel bed thickness. An adjustment strategy is determined based on the external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time. Based on the adjustment strategy, the grate speed, blast speed, and fuel bed thickness of the chain grate boiler are adjusted to achieve control of the chain grate boiler.

2. The chain grate boiler control method according to claim 1, characterized in that, Before acquiring flame radiation images inside the chain grate boiler using video acquisition equipment, the process also includes: The video acquisition device is installed at the tail end of the chain grate boiler, and the shooting range of the video acquisition device is controlled to cover the preset middle and rear sections of the entire grate of the chain grate boiler.

3. The chain grate boiler control method according to claim 1, characterized in that, Based on the flame radiation image, the temperature field corresponding to the chain grate boiler is determined using preset flame analysis software, including: Based on the preset flame analysis software, the grate of the chain boiler is divided into a target number of zones with the same area; Based on a preset benchmark flame intensity reference point, the flame intensity of each zone in the flame radiation image is converted into a temperature simulation quantity, and the temperature field corresponding to the chain grate boiler is determined using each of the temperature simulation quantities.

4. The chain grate boiler control method according to claim 3, characterized in that, Based on the flame radiation image, the length of the fire line corresponding to the chain grate boiler is determined using preset flame analysis software, including: Based on the preset flame analysis software, the temperature at various points in the temperature field corresponding to the chain grate boiler is determined according to the flame radiation image; The length corresponding to the temperature within the preset combustion start temperature threshold and the preset burnout temperature threshold range is defined as the fire wire length.

5. The chain grate boiler control method according to claim 1, characterized in that, Based on the flame radiation image, the thickness of the current fuel bed corresponding to the chain grate boiler is determined using preset flame analysis software, including: Based on the flame color and spectral information in the flame radiation image, the current fuel bed thickness of the chain grate boiler is determined using preset flame analysis software.

6. The chain grate boiler control method according to any one of claims 1 to 5, characterized in that, The method for determining the adjustment strategy based on external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time includes: If the external heat load demand is to increase the load, then the length of the fire wire is compared with a preset length threshold. If the length of the fire wire is greater than the first length threshold and less than the second length threshold, then increase the grate speed and the blower speed. If the length of the fire wire is greater than the second length threshold, then the grate speed is reduced and the blower speed is increased; If the length of the fire wire is less than the first length threshold, then increase the grate speed and decrease the blower speed; If the external heat load demand is to reduce the load, then directly reduce the grate speed and the blower speed; The adjustment strategy is determined based on the temperature field, the fire line length, and the fuel bed thickness after the target time.

7. The chain grate boiler control method according to claim 6, characterized in that, The step of determining the adjustment strategy based on the temperature field, the fire line length, and the fuel bed thickness after the target time includes: The lateral distribution of the temperature field is used to determine whether the combustion on the left and right sides of the grate is symmetrical, and the fuel distribution on the grate is used to determine whether the fuel distribution is uniform. If the flame is uneven, then determine the intensity of the combustion flame; If the intensity of the combustion flame meets the preset first condition, then reduce the grate speed; If the intensity of the combustion flame meets the preset second condition, then increase the grate speed; If the external heat load demand remains unchanged, the length of the fire wire is compared with a preset length threshold. If the length of the fire wire is greater than the first length threshold and less than the second length threshold, then increase the grate speed and the blower speed. If the length of the fire wire is greater than the second length threshold, then the grate speed is reduced and the blower speed is increased; If the length of the fire wire is less than the first length threshold, then increase the grate speed and decrease the blower speed; If the fuel bed thickness after the target time is greater than the preset thickness threshold, then reduce the grate speed or reduce the fuel bed thickness by adjusting the feed.

8. A chain grate boiler control method, characterized in that, include: Image acquisition module, used to acquire flame radiation images inside chain grate boiler using video acquisition equipment; The information determination module is used to determine the temperature field, fire line length, and current fuel bed thickness of the chain grate boiler based on the flame radiation image using preset flame analysis software; the fire line length is the range length used to characterize the main combustion zone of the chain grate boiler. The fuel layer thickness prediction module is used to predict the fuel layer thickness after a target time based on the temperature field, the fire line length and the current fuel layer thickness using a pre-trained fuel layer thickness prediction model. The adjustment module is used to determine an adjustment strategy based on the external heat load demand, the temperature field, the fire line length, and the fuel bed thickness after the target time. Based on the adjustment strategy, the grate speed, blast speed, and fuel bed thickness of the chain grate boiler are adjusted to achieve control of the chain grate boiler.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing a computer program to implement the chain grate boiler control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer-readable storage medium stores a computer program that, when executed by a processor, implements the chain grate boiler control method as described in any one of claims 1 to 7.

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