Self-adaptive sludge drying control method

Abstract

The invention relates to the field of environmental engineering, in particular to a self-adaptive sludge drying control method, which comprises the following steps: acquiring an apportionment area and a feedback force fluctuation value through sludge verification transmission, calculating sludge drying characterization parameters based on the apportionment area and the feedback force fluctuation value, and determining a sludge drying category. Carrying out adaptive drying treatment on the to-be-dried sludge based on the sludge drying category, if the sludge drying category is a strong drying category, identifying specific drying characteristics through a surface image, and judging whether to adjust the speed of a conveyor belt and the drying power or not; and if the classification is weak drying, adjusting the height of the scraper and the speed of the conveyor belt according to the characterization parameters. And finally, judging whether the chromaticity variation meets the standard or not to correct the speed of the conveyor belt, thereby realizing accurate control on the sludge drying process and improving the drying efficiency and quality.

Description

Technical Field

[0001] This invention relates to the field of environmental engineering, and more particularly to an adaptive sludge drying control method. Background Technology

[0002] With the acceleration of industrialization and the improvement of environmental awareness, sludge drying has gradually become a key link in the field of environmental engineering. Sludge drying is not only related to environmental protection, but also closely linked to resource recycling.

[0003] Chinese Patent Publication No. CN112811767A discloses a high-dryness sludge dewatering filter press device, system, and method. The filter press device includes: an outer cylinder, a cylindrical cavity structure open at one end, with several filter plates inside; a front baffle located on the side opposite the open end of the outer cylinder, the outer cylinder and the front baffle forming a sealed filter chamber; a main hydraulic cylinder connected to the several filter plates inside the outer cylinder; and a secondary hydraulic cylinder located on one side of the outer cylinder, connected to the outer wall of the outer cylinder. The filter press system includes a filter press device, an information detection module, a transmission module, and a main control module. The main control module processes water flow data using a moving average filtering algorithm and introduces an adaptive threshold control algorithm to determine the filtration and filter press action times. This aims to achieve the goals of purifying wastewater, protecting the environment, saving energy and reducing consumption, and reusing resources.

[0004] However, the following problems still exist in the existing technology.

[0005] In practice, during the drying process of sludge, the sludge may clump internally. This may result in large clumps inside the sludge not being fully dried during the drying process, while the outside has already shown signs of drying. This affects the uniformity and thoroughness of the overall drying effect of the sludge. Existing technologies lack an effective mechanism for adaptive drying of sludge in the case of internal clumps, which may lead to uneven drying of sludge and reduce the efficiency and quality of sludge drying. Summary of the Invention

[0006] To address this issue, the present invention provides an adaptive sludge drying control method to overcome the problem in the prior art where, during sludge drying, internal clumps of sludge may not be fully dried while the exterior exhibits drying characteristics, thus affecting the uniformity and thoroughness of the overall sludge drying effect, resulting in uneven sludge drying and reducing the efficiency and quality of sludge drying.

[0007] To achieve the above objectives, the present invention provides an adaptive sludge drying control method, comprising,

[0008] Step S1, sludge verification and transfer, includes controlling the feeding mechanism to transfer a predetermined amount of sludge to the conveyor belt at intervals to form several sludge spread bodies, detecting the surface image of the area where the sludge spread bodies are located, recording the spread area of ​​each sludge spread body, and recording the feedback force fluctuation value of the sludge scraper when each sludge spread body passes through the sludge scraper.

[0009] Step S2: Calculate sludge drying characterization parameters based on the average area of ​​each sludge spread body and the average fluctuation of feedback force, and determine the sludge drying category based on the sludge drying characterization parameters.

[0010] Step S3: Control the feeding mechanism to continuously convey sludge to the conveyor belt, and perform sludge drying based on the sludge drying category, including:

[0011] Continuously acquire surface images of the area corresponding to the sludge scraper in the sludge path, identify specific drying characteristics based on the surface images, and determine whether to adjust the conveyor belt speed and the power of the drying mechanism based on the specific drying characteristics.

[0012] Alternatively, the height of the sludge scraper and the conveying speed of the conveyor belt can be adjusted based on the sludge drying characterization parameters.

[0013] Step S4: In response to adjusting the conveyor belt speed, a surface image of the sludge in the corresponding area under the drying mechanism is acquired to determine the amount of color change in order to determine whether it meets the color change standard, and the conveyor belt speed is corrected.

[0014] Furthermore, in step S1, the process of determining the distribution area of ​​the sludge spread body and the feedback force fluctuation value includes,

[0015] Based on surface image recognition, the edge contour of the sludge spread body is determined, the edge contour area is determined, and the spread area is obtained.

[0016] Record the feedback force values ​​at corresponding detection points at each moment when the sludge is spread and falls through the sludge scraper.

[0017] The mean variance of the feedback force values ​​at each detection point is determined as the feedback force fluctuation value.

[0018] Further, in step S2, the process of calculating the sludge drying characterization parameters based on the average area of ​​each sludge distribution body and the average feedback force fluctuation includes:

[0019] The ratio of the preset allocated area threshold to the average allocated area is determined as the first sludge drying characterization factor.

[0020] The ratio of the average value of the feedback force fluctuation of the sludge scraper to the preset feedback force fluctuation threshold is determined as the second sludge drying characterization factor.

[0021] The sludge drying characterization parameters are obtained by weighted summation of the first sludge drying characterization factor and the second sludge drying characterization factor.

[0022] Furthermore, determining the sludge drying category based on the sludge drying characterization parameters includes determining the sludge as a strongly dried category if the sludge drying characterization parameters are greater than or equal to a preset sludge drying standard characterization parameter.

[0023] If the sludge drying characterization parameter is less than the preset sludge drying standard characterization parameter, then the sludge is determined to be of the weak drying category.

[0024] Furthermore, sludge drying is performed based on the aforementioned sludge drying category, including:

[0025] If the sludge is of the strongly dried type, the surface image of the corresponding area after the sludge passes through the sludge scraper is continuously acquired, and specific drying characteristics are identified based on the surface image. Based on the specific drying characteristics, it is determined whether to adjust the conveyor belt speed and the power of the drying mechanism.

[0026] If the sludge is of the weakly dried type, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted based on the sludge drying characterization parameters.

[0027] Furthermore, the process of identifying specific drying features based on the surface image includes,

[0028] Identify the contour features of the surface image;

[0029] Determine the maximum contour width for each of the aforementioned contour features;

[0030] If the maximum contour width is greater than the predetermined contour width threshold, the current sludge contour is identified as a specific drying feature.

[0031] Furthermore, determining whether to adjust the conveyor belt speed and the power of the drying mechanism based on specific drying characteristics includes:

[0032] Determine the area ratio of the contour features corresponding to the specific drying features in the surface image;

[0033] If the area ratio is greater than or equal to the preset standard area ratio, it is determined that the conveyor belt speed and the power of the drying mechanism need to be adjusted.

[0034] Furthermore, it was determined that the conveyor belt speed and the power of the drying mechanism needed to be adjusted.

[0035] After adjustment, the conveyor belt speed and area ratio are negatively correlated;

[0036] The power of the drying mechanism after adjustment is positively correlated with the area ratio.

[0037] Furthermore, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted based on the sludge drying characterization parameters, wherein...

[0038] The height of the adjusted sludge scraper is positively correlated with the sludge drying characterization parameters.

[0039] The adjusted conveying speed is negatively correlated with the sludge drying characterization parameters.

[0040] Furthermore, acquiring surface images of the corresponding area of ​​the sludge under the drying mechanism to determine the amount of color change in order to judge whether it meets the color change standard includes,

[0041] Acquire surface images at various times within a predetermined time period, and determine the amount of color change of the sludge spread body based on the surface images;

[0042] If the chromaticity change is greater than or equal to the preset chromaticity transformation standard, it is determined that the chromaticity change standard is met.

[0043] If the chromaticity change is less than the preset chromaticity change standard, it is determined that it does not meet the chromaticity change standard, and the conveyor belt speed needs to be adjusted.

[0044] The corrected conveyor belt speed is achieved by reducing the conveyor belt speed by a predetermined percentage.

[0045] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention relates to the field of environmental engineering, and particularly to an adaptive sludge drying control method. This invention obtains the allocated area and feedback force fluctuation value through sludge verification transport, calculates sludge drying characterization parameters based on the allocated area and feedback force fluctuation value, determines the sludge drying category, and performs adaptive drying treatment on the sludge to be dried based on the sludge drying category. If it is a strong drying category, specific drying characteristics are identified through surface image recognition to determine whether to adjust the conveyor belt speed and drying power; if it is a weak drying category, the scraper height and conveyor belt speed are adjusted according to the characterization parameters. Finally, the conveyor belt speed is corrected based on whether the color change meets the standard, achieving precise control of the sludge drying process and improving drying efficiency and quality.

[0046] In particular, this invention calculates sludge drying characterization parameters based on the average distribution area of ​​each sludge spread body and the average feedback force fluctuation. In reality, due to differences in sludge moisture content, viscosity, and other factors, internal sludge clumping may occur, affecting the drying process. Therefore, this invention considers setting up a specific sludge verification and transport process to form sludge spread bodies for easy observation. A larger distribution area means more dispersed sludge distribution, allowing for sufficient contact with hot air and facilitating moisture evaporation. A smaller distribution area means poor sludge dispersion, potentially leading to internal agglomeration and affecting heat transfer during the drying process. In addition to improving water evaporation efficiency, this invention employs a specific sludge scraper to distribute the scattered sludge. Furthermore, the average fluctuation of the feedback force of the sludge scraper reflects the texture and internal structure of the sludge. Large fluctuations in feedback force may indicate the presence of clumps or uneven texture within the sludge. Therefore, calculating sludge drying characterization parameters based on the distributed area and the average fluctuation of feedback force can comprehensively reflect the distribution and texture characteristics of the sludge, characterize the sludge drying requirements, provide a reliable basis for determining the sludge drying category, facilitate subsequent precise adaptive drying treatment, thereby achieving precise control of the sludge drying process and improving drying efficiency and quality.

[0047] In particular, this invention determines the sludge drying category based on the sludge drying characterization parameters. During actual drying, some sludge may have internal caking. If the same drying method is used, large caking sludge lumps inside may not be fully dried, while the exterior may show signs of drying, resulting in uneven drying. Therefore, the sludge is adaptively dried based on its drying category. For sludge in the strong drying category, where drying is critical and internal caking is a potential issue, image recognition of specific drying features is used to further adjust the conveyor belt speed and drying power. These specific drying features characterize the internal caking after the sludge is scraped apart by the scraper, and the area of ​​these features represents the proportion of caking. Therefore, when the area proportion is large, the conveyor belt speed is appropriately slowed to allow more drying time, and the power of the drying mechanism is increased for thorough drying. For sludge in the weak drying category… If sludge is not properly dried, the scraper height and conveyor belt speed can be directly adjusted based on the characterization parameters. The smaller the sludge drying characterization parameters, the stronger the sludge's fluidity and the lower its tendency to clump. Therefore, the sludge scraper height can be appropriately reduced and the conveyor belt speed increased. Due to its high fluidity, the sludge is less likely to accumulate and is easier to dry quickly, thereby improving drying efficiency. This classification method not only improves the uniformity of sludge drying but also avoids energy waste caused by excessively high or low drying power, thus achieving precise control of the sludge drying process and improving drying efficiency and quality.

[0048] In particular, after adjusting the conveyor belt speed, the surface image of the corresponding area of ​​the sludge under the drying mechanism is observed to determine the amount of color change in order to determine whether it meets the color change standard. Since the sludge will change color during the drying process, based on this, it is determined whether the current conveyor belt speed is matched, and the conveyor belt speed is corrected in time to ensure drying efficiency and quality. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the steps of the adaptive sludge drying control method according to an embodiment of the invention;

[0050] Figure 2 A simplified structural diagram of the apparatus for the adaptive sludge drying control method according to an embodiment of the invention;

[0051] Figure 3 A schematic diagram of the scraping mechanism of the apparatus for the sludge drying control method according to an embodiment of the invention;

[0052] Figure 4 A logic diagram for determining the sludge drying category in an embodiment of the invention;

[0053] Figure 5 This is a logic block diagram of sludge drying analysis based on the sludge drying category, as described in an embodiment of the invention.

[0054] Figure 6 This is a logic diagram for determining whether a surface image conforms to the color change standard in an embodiment of the invention.

[0055] In the diagram, 1: conveyor belt, 2: feeding mechanism, 3: scraping mechanism, 4: drying mechanism, 5: telescopic rod, 6: slide rail, 7: scraper. Detailed Implementation

[0056] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0057] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0058] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0059] Please see Figure 1 The diagram shown illustrates the steps of an adaptive sludge drying control method according to an embodiment of the present invention. The adaptive sludge drying control method according to an embodiment of the present invention includes:

[0060] Step S1, sludge verification and transfer, includes controlling the feeding mechanism to transfer a predetermined amount of sludge to the conveyor belt at intervals to form several sludge spread bodies, detecting the surface image of the area where the sludge spread bodies are located, recording the spread area of ​​each sludge spread body, and recording the feedback force fluctuation value of the sludge scraper when each sludge spread body passes through the sludge scraper.

[0061] Step S2: Calculate sludge drying characterization parameters based on the average area of ​​each sludge spread body and the average fluctuation of feedback force, and determine the sludge drying category based on the sludge drying characterization parameters.

[0062] Step S3: Control the feeding mechanism to continuously convey sludge to the conveyor belt, and perform sludge drying based on the sludge drying category, including:

[0063] Continuously acquire surface images of the area corresponding to the sludge scraper in the sludge path, identify specific drying characteristics based on the surface images, and determine whether to adjust the conveyor belt speed and the power of the drying mechanism based on the specific drying characteristics.

[0064] Alternatively, the height of the sludge scraper and the conveying speed of the conveyor belt can be adjusted based on the sludge drying characterization parameters.

[0065] Step S4: In response to adjusting the conveyor belt speed, a surface image of the sludge in the corresponding area under the drying mechanism is acquired to determine the amount of color change in order to determine whether it meets the color change standard, and the conveyor belt speed is corrected.

[0066] Specifically, there is no limitation on the method of detecting the surface image of the area where the sludge spreads. The surface image can be detected by a high-resolution camera or other methods, as long as a clear and accurate surface image can be obtained. This will not be elaborated further.

[0067] Specifically, the present invention does not limit the method of recording the distribution area of ​​each sludge spread body. The edge boundary between the sludge spread body and the conveyor belt or other background can be identified by an image segmentation algorithm to determine the outline of the sludge spread body and then calculate the distribution area. Of course, other methods can also be used, as long as the outline of the sludge spread body can be identified, which will not be elaborated here.

[0068] Specifically, see Figure 2 and Figure 3 As shown, Figure 2 A simplified structural diagram of the apparatus for the adaptive sludge drying control method according to an embodiment of the invention; Figure 3 This is a schematic diagram of the scraping mechanism of an apparatus for an adaptive sludge drying control method according to an embodiment of the invention. This embodiment provides an apparatus for applying an adaptive sludge drying control method, comprising:

[0069] Conveyor belt;

[0070] The feeding mechanism includes a feeding pipe disposed on the upper side of the conveyor belt for conveying sludge, and a valve disposed at the feeding port at the end of the feeding pipe. A feeding pump is disposed in the feeding pipe to transfer the sludge to the feeding port and discharge it to the conveyor belt.

[0071] The scraping mechanism is located on one side of the feeding mechanism and includes a fixed frame and a sludge scraper mounted on the fixed frame via a slide rail. The upper side of the sludge scraper is connected to the fixed frame via a telescopic rod assembly to adjust the height of the sludge scraper and limit the sludge passage height.

[0072] The drying mechanism includes a drying fan disposed on one side of the scraping mechanism for drying the sludge on the surface of the conveyor belt.

[0073] Specifically, the structure of the conveyor belt is not limited. Those skilled in the art can use any conveyor belt in the prior art, as long as it can achieve the conveying function. Preferably, the surface of the conveyor belt is as smooth as possible to reduce sludge adhesion, and the conveying speed of the conveyor belt needs to be adjustable, which will not be elaborated further.

[0074] Specifically, there are no restrictions on the specific structure of the feed pump or its position in the feed pipeline. The purpose of setting up the feed pump is to extract sludge through the feed pipeline. Those skilled in the art can select the corresponding type of feed pump according to their needs, as long as it can achieve the purpose of extracting sludge. This is existing technology and will not be described in detail.

[0075] Specifically, there are no restrictions on the specific structure of the valve. Preferably, an electrically controlled valve can be used for remote control to interrupt the sludge output. This will not be elaborated further.

[0076] Specifically, there are no restrictions on the structure of the telescopic rod assembly. It can consist of two telescopic rods, so that the two telescopic rods can be stretched or extended synchronously to change the height of the sludge scraper.

[0077] Specifically, the specific structure of the drying fan is not limited, as long as it can deliver hot air. The installation method is not limited. For example, it can be installed on one side of the conveyor belt through a mounting bracket to dry the sludge on the conveyor belt. Preferably, the power of the drying fan needs to be adjustable.

[0078] Specifically, in step S1, the process of determining the distribution area of ​​the sludge spread body and the feedback force fluctuation value includes,

[0079] Based on surface image recognition, the edge contour of the sludge spread body is determined, the edge contour area is determined, and the spread area is obtained.

[0080] Record the feedback force values ​​at corresponding detection points at each moment when the sludge is spread and falls through the sludge scraper.

[0081] The mean variance of the feedback force values ​​at each detection point is determined as the feedback force fluctuation value.

[0082] In practice, there are no restrictions on the method of recording the feedback force value at each moment when the sludge falls through the sludge scraper. A pressure sensor can be set at the bottom of the sludge scraper to detect the feedback force value at each position at each moment. This will not be elaborated further.

[0083] Specifically, in step S2, the process of calculating the sludge drying characterization parameters based on the average area of ​​each sludge distribution body and the average feedback force fluctuation includes:

[0084] The ratio of the preset allocated area threshold to the average allocated area is determined as the first sludge drying characterization factor.

[0085] The ratio of the average value of the feedback force fluctuation of the sludge scraper to the preset feedback force fluctuation threshold is determined as the second sludge drying characterization factor.

[0086] The sludge drying characterization parameters are obtained by weighted summation of the first sludge drying characterization factor and the second sludge drying characterization factor.

[0087] In implementation, the shared area threshold is predetermined, wherein,

[0088] Those skilled in the art can collect a large amount of data on the distribution area of ​​different sludge distribution bodies, calculate the average distribution area of ​​each sludge distribution body, and represent the distribution area of ​​each sludge distribution body under normal conditions. The distribution area threshold is set as a predetermined multiple of the average distribution area of ​​each sludge distribution body to represent the case where the distribution area of ​​each sludge distribution body is large. Typically, the predetermined multiple is set to 1.35 times.

[0089] In implementation, the feedback force fluctuation threshold of the sludge scraper is predetermined, wherein,

[0090] Those skilled in the art can collect a large amount of feedback force fluctuation data of different sludge samples under the sludge scraper, calculate the mean of the feedback force fluctuation value of each sludge sample, so as to represent the feedback force fluctuation value of each sludge sample under normal conditions, and set the feedback force fluctuation threshold of the sludge scraper to a predetermined multiple of the mean of the feedback force fluctuation value of each sludge sample, so as to represent the situation where the feedback force fluctuation of each sludge sample is more intense. Usually, the predetermined multiple is set to 1.5 times.

[0091] In practice, the weight of the first sludge drying characterization factor is 0.45, and the weight of the second sludge drying characterization factor is 0.55.

[0092] This invention calculates sludge drying characterization parameters based on the average distribution area and average feedback force fluctuation of each sludge spread body. In practice, differences in sludge moisture content, viscosity, and other factors may cause internal sludge clumping, affecting the drying process. Therefore, this invention considers setting up a specific sludge verification transport process to form sludge spread bodies for easy observation. A larger distribution area means more dispersed sludge distribution, allowing for sufficient contact with hot air and facilitating moisture evaporation. A smaller distribution area indicates poor sludge dispersion, potentially leading to internal agglomeration and affecting heat transfer and water retention during the drying process. In addition to improving evaporation efficiency, this invention employs a specific sludge scraper to distribute the scattered sludge. Furthermore, the average fluctuation of the feedback force of the sludge scraper reflects the texture and internal structure of the sludge. Large fluctuations in feedback force may indicate the presence of clumps or uneven texture within the sludge. Therefore, calculating sludge drying characterization parameters based on the distributed area and the average fluctuation of feedback force can comprehensively reflect the distribution and texture characteristics of the sludge, characterize the sludge drying requirements, and provide a reliable basis for determining the sludge drying category. This facilitates subsequent precise adaptive drying treatment, thereby achieving precise control of the sludge drying process and improving drying efficiency and quality.

[0093] Please see Figure 4 As shown, this is a logic diagram for determining the sludge drying category according to an embodiment of the invention. Specifically, determining the sludge drying category based on the sludge drying characterization parameters includes:

[0094] If the sludge drying characterization parameter is greater than or equal to the preset sludge drying standard characterization parameter, then the sludge is determined to be of the strongly dried category.

[0095] If the sludge drying characterization parameter is less than the preset sludge drying standard characterization parameter, then the sludge is determined to be of the weak drying category.

[0096] In implementation, the preset sludge drying standard characterization parameters are predetermined. The sludge drying characterization parameters calculated under the conditions that the average value of the allocated area is equal to the threshold value of the allocated area and the average value of the feedback force fluctuation value is equal to the threshold value of the feedback force fluctuation are determined as the sludge drying standard characterization parameters.

[0097] Specifically, please refer to Figure 5 The diagram shown is a logical block diagram of sludge drying analysis based on the sludge drying category according to an embodiment of the invention. Sludge drying based on the sludge drying category includes:

[0098] If the sludge is of the strongly dried type, the surface image of the corresponding area after the sludge passes through the sludge scraper is continuously acquired, and specific drying characteristics are identified based on the surface image. Based on the specific drying characteristics, it is determined whether to adjust the conveyor belt speed and the power of the drying mechanism.

[0099] If the sludge is of the weakly dried type, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted based on the sludge drying characterization parameters.

[0100] Specifically, if the sludge drying characterization parameters show that the sludge has a low drying requirement, it is classified as a weak drying category. Based on the pre-calculated sludge drying characterization parameters, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted to appropriately reduce the height of the sludge scraper so that the sludge can form a more uniform thin layer on the conveyor belt, which is conducive to the rapid evaporation of water. At this time, the conveying speed of the conveyor belt is negatively correlated with the sludge drying characterization parameters, that is, the smaller the sludge drying characterization parameters, the faster the conveying speed of the conveyor belt can be appropriately increased.

[0101] Specifically, if the sludge drying characterization parameters show that the sludge has a low drying requirement, it is classified as a strong drying category. Based on the specific drying characteristics, the specific drying characteristic value is calculated. When adjusting the sludge conveyor belt speed and the power of the drying mechanism, the sludge conveyor belt speed is negatively correlated with the specific drying characteristic value. That is, the larger the specific drying characteristic value, the slower the sludge conveyor belt speed should be.

[0102] This invention determines the sludge drying category based on the sludge drying characterization parameters. In actual drying processes, some sludge may exhibit internal clumping. If the same drying method is used, large internal clumps may not be fully dried, while the exterior may show signs of drying, resulting in uneven drying. Therefore, adaptive drying treatment is performed on the sludge based on its drying category. For sludge in the strong drying category, where drying is critical and internal clumping may be present, image recognition of specific drying features is used to further adjust the conveyor belt speed and drying power. These specific drying features characterize the internal clumping after the sludge is dispersed by the scraper, and the area of ​​these features represents the proportion of clumping. Therefore, when the area proportion is large, the conveyor belt speed is appropriately slowed to allow for more drying time, and the power of the drying mechanism is increased for thorough drying. For sludge in the weak drying category… If sludge is not properly dried, the scraper height and conveyor belt speed can be directly adjusted based on the characterization parameters. The smaller the sludge drying characterization parameters, the stronger the sludge's fluidity and the lower its tendency to clump. Therefore, the sludge scraper height can be appropriately reduced and the conveyor belt speed increased. Due to its high fluidity, the sludge is less likely to accumulate and is easier to dry quickly, thereby improving drying efficiency. This classification method not only improves the uniformity of sludge drying but also avoids energy waste caused by excessively high or low drying power, thus achieving precise control of the sludge drying process and improving drying efficiency and quality.

[0103] Specifically, the process of identifying specific drying features based on the surface image includes:

[0104] Identify the contour features of the surface image;

[0105] Determining the maximum contour width of each contour feature, it can be understood that the maximum contour width is the maximum distance between any two contour points on the contour feature.

[0106] If the maximum contour width is greater than the predetermined contour width threshold, the current sludge contour is identified as a specific drying feature.

[0107] Specifically, there are no restrictions on the method for identifying contour features. For example, clustering algorithms can be used to identify all contour features in an image. In reality, all lumps in sludge will have contours and be identified as contour features. Of course, other methods can also be used to identify contour features in practice, which will not be elaborated here.

[0108] In implementation, the contour width threshold is predetermined, wherein,

[0109] Those skilled in the art can collect the maximum outline width data of several sludge samples after they are spread on the conveyor belt, calculate the average maximum outline width of each sludge sample to represent the maximum outline width of each sludge sample under normal conditions, and set a specific drying standard characteristic value as a predetermined multiple of the average maximum outline width of each sludge sample to represent the case where the maximum outline width of each sludge sample is large. Usually, the predetermined multiple is set to 1.35 times.

[0110] Specifically, determining whether to adjust the conveyor belt speed and the power of the drying mechanism based on specific drying characteristics includes:

[0111] Determine the area ratio of the contour features corresponding to the specific drying features in the surface image;

[0112] If the area ratio is greater than or equal to the preset standard area ratio, it is determined that the conveyor belt speed and the power of the drying mechanism need to be adjusted.

[0113] In implementation, the area standard ratio is predetermined, wherein,

[0114] Those skilled in the art can collect a large number of sludge sample images with specific drying characteristics, calculate the area ratio of the sludge contours with specific drying characteristics in each image, and solve for the average area ratio of the sludge contours to represent the area ratio of the sludge contours with specific drying characteristics in each image under normal conditions. The standard area ratio is set to a predetermined multiple of the average area ratio of the sludge contours to represent the case where the area ratio of the sludge contours with specific drying characteristics in each image is large. Typically, the predetermined multiple is set to 1.6 times.

[0115] Specifically, it was determined that the conveyor belt speed and the power of the drying mechanism needed to be adjusted.

[0116] After adjustment, the conveyor belt speed and area ratio are negatively correlated;

[0117] The power of the drying mechanism after adjustment is positively correlated with the area ratio.

[0118] In implementation, a first initial threshold and a second initial threshold are preset. The first initial threshold is set to 1.45 times the standard area ratio, and the second initial threshold is set to 1.25 times the standard area ratio.

[0119] In implementation, optional,

[0120] If the area ratio is greater than or equal to the first initial threshold, the conveyor belt speed is adjusted to 0.65 times the initial conveyor belt speed.

[0121] If the area ratio is less than the first initial threshold and greater than the second initial threshold, then the conveyor belt speed is adjusted to 0.75 times the initial conveyor belt speed.

[0122] If the area ratio is less than or equal to the second initial threshold, the conveyor belt speed is adjusted to 0.85 times the initial conveyor belt speed.

[0123] In implementation, optional,

[0124] If the area ratio is greater than or equal to the first initial threshold, the power of the drying mechanism is adjusted to 1.5 times the initial drying power.

[0125] If the area ratio is less than the first initial threshold and greater than the second initial threshold, the power of the drying mechanism is adjusted to 1.35 times the initial drying power.

[0126] If the area ratio is less than or equal to the second initial threshold, the power of the drying mechanism is adjusted to 1.25 times the initial drying power.

[0127] Specifically, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted based on the sludge drying characterization parameters, wherein...

[0128] The height of the adjusted sludge scraper is positively correlated with the sludge drying characterization parameters.

[0129] The adjusted conveying speed is negatively correlated with the sludge drying characterization parameters.

[0130] In implementation, optionally,

[0131] If the sludge drying characterization parameter is greater than or equal to the first sludge drying threshold, the height of the sludge scraper is reduced to 0.85 times the initial height of the sludge scraper.

[0132] If the sludge drying characterization parameter is less than the first sludge drying threshold and greater than the second sludge drying threshold, then the height of the sludge scraper is reduced to 0.75 times the initial height of the sludge scraper.

[0133] If the sludge drying characterization parameter is less than or equal to the second sludge drying threshold, the height of the sludge scraper is reduced to 0.65 times the initial height of the sludge scraper.

[0134] In implementation, optionally,

[0135] If the sludge drying characterization parameter is greater than or equal to the first sludge drying threshold, the conveying speed is 1.25 times the initial conveying speed.

[0136] If the sludge drying characterization parameter is less than the first sludge drying threshold and greater than the second sludge drying threshold, then the conveying speed is 1.35 times the initial conveying speed.

[0137] If the sludge drying characterization parameter is less than or equal to the second sludge drying threshold, the conveying speed is 1.5 times the initial conveying speed.

[0138] Specifically, see Figure 6 As shown, Figure 6 This is a logic diagram for determining whether a surface image conforms to a color change standard, as described in an embodiment of the invention. The process includes acquiring a surface image of the corresponding area of ​​the sludge under the drying mechanism, determining the amount of color change, and thus determining whether the color change standard is met.

[0139] Acquire surface images at various times within a predetermined time period, and determine the amount of color change of the sludge spread body based on the surface images;

[0140] If the chromaticity change is greater than or equal to the preset chromaticity transformation standard, it is determined that the chromaticity change standard is met.

[0141] If the chromaticity change is less than the preset chromaticity change standard, it is determined that it does not meet the chromaticity change standard, and the conveyor belt speed needs to be adjusted.

[0142] The corrected conveyor belt speed is achieved by reducing the conveyor belt speed by a predetermined percentage.

[0143] In implementation, the preset chromaticity transformation standard is predetermined, wherein,

[0144] Those skilled in the art can collect images of sludge samples from several fully dried sludge processes, calculate the chromaticity change corresponding to each sludge drying process, calculate the mean chromaticity change to represent the chromaticity change under normal conditions, and set a preset chromaticity transformation standard as a predetermined multiple of the mean chromaticity change, with the predetermined multiple being 0.85.

[0145] It is understandable that the drying of sludge is accompanied by changes in color, such as a tendency to whiten. When the amount of color change is small, it indicates to some extent that the sludge drying process is slow.

[0146] This invention, after adjusting the conveyor belt speed, observes the surface image of the corresponding area of ​​the sludge under the drying mechanism to determine the amount of color change in order to judge whether it meets the color change standard. Since the sludge will produce color changes during the drying process, based on this, it determines whether the current conveyor belt speed is matched, and corrects the conveyor belt speed in time, thereby ensuring drying efficiency and quality.

[0147] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An adaptive sludge drying control method, characterized in that, include: Step S1, sludge verification and transfer, includes controlling the feeding mechanism to transfer a predetermined amount of sludge to the conveyor belt at intervals to form several sludge spread bodies, detecting the surface image of the area where the sludge spread bodies are located, recording the spread area of ​​each sludge spread body, and recording the feedback force fluctuation value of the sludge scraper when each sludge spread body passes through the sludge scraper. Step S2: Calculate sludge drying characterization parameters based on the average area of ​​each sludge spread body and the average fluctuation of feedback force, and determine the sludge drying category based on the sludge drying characterization parameters. Step S3: Control the feeding mechanism to continuously convey sludge to the conveyor belt, and perform sludge drying based on the sludge drying category, including: Continuously acquire surface images of the area corresponding to the sludge scraper in the sludge path, identify specific drying characteristics based on the surface images, and determine whether to adjust the conveyor belt speed and the power of the drying mechanism based on the specific drying characteristics. Alternatively, the height of the sludge scraper and the conveying speed of the conveyor belt can be adjusted based on the sludge drying characterization parameters. Step S4: In response to adjusting the conveyor belt speed, a surface image of the sludge in the corresponding area under the drying mechanism is acquired to determine the amount of color change in order to determine whether it meets the color change standard, and the conveyor belt speed is corrected.

2. The adaptive sludge drying control method according to claim 1, characterized in that, In step S1, the process of determining the distribution area of ​​the sludge spread body and the feedback force fluctuation value includes: Based on surface image recognition, the edge contour of the sludge spread body is determined, the edge contour area is determined, and the spread area is obtained. Record the feedback force values ​​at corresponding detection points at each moment when the sludge is spread and falls through the sludge scraper. The mean variance of the feedback force values ​​at each detection point is determined as the feedback force fluctuation value.

3. The adaptive sludge drying control method according to claim 1, characterized in that, In step S2, the process of calculating the sludge drying characterization parameters based on the average area of ​​each sludge distribution body and the average fluctuation of the feedback force includes: The ratio of the preset allocated area threshold to the average allocated area is determined as the first sludge drying characterization factor. The ratio of the average value of the feedback force fluctuation of the sludge scraper to the preset feedback force fluctuation threshold is determined as the second sludge drying characterization factor. The sludge drying characterization parameters are obtained by weighted summation of the first sludge drying characterization factor and the second sludge drying characterization factor.

4. The adaptive sludge drying control method according to claim 3, characterized in that... The sludge drying category is determined based on the sludge drying characterization parameters, including: If the sludge drying characterization parameter is greater than or equal to the preset sludge drying standard characterization parameter, then the sludge is determined to be of the strongly dried category. If the sludge drying characterization parameter is less than the preset sludge drying standard characterization parameter, then the sludge is determined to be of the weak drying category.

5. The adaptive sludge drying control method according to claim 4, characterized in that... Sludge drying based on the aforementioned sludge drying category includes: If the sludge is of the strongly dried type, the surface image of the corresponding area after the sludge passes through the sludge scraper is continuously acquired, and specific drying characteristics are identified based on the surface image. Based on the specific drying characteristics, it is determined whether to adjust the conveyor belt speed and the power of the drying mechanism. If the sludge is of the weakly dried type, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted based on the sludge drying characterization parameters.

6. The adaptive sludge drying control method according to claim 1, characterized in that... The process of identifying specific drying features based on the surface image includes, Identify the contour features of the surface image; Determine the maximum contour width for each of the aforementioned contour features; If the maximum contour width is greater than the predetermined contour width threshold, the current sludge contour is identified as a specific drying feature.

7. The adaptive sludge drying control method according to claim 6, characterized in that, Determining whether to adjust the conveyor belt speed and the power of the drying mechanism based on specific drying characteristics includes: Determine the area ratio of the contour features corresponding to the specific drying features in the surface image; If the area ratio is greater than or equal to the preset standard area ratio, it is determined that the conveyor belt speed and the power of the drying mechanism need to be adjusted.

8. The adaptive sludge drying control method according to claim 7, characterized in that... It was determined that the conveyor belt speed and the power of the drying mechanism needed to be adjusted. After adjustment, the conveyor belt speed and area ratio are negatively correlated; The power of the drying mechanism after adjustment is positively correlated with the area ratio.

9. The adaptive sludge drying control method according to claim 8, characterized in that... Based on the sludge drying characterization parameters, the height of the sludge scraper and the conveying speed of the conveyor belt are adjusted, wherein... The height of the adjusted sludge scraper is positively correlated with the sludge drying characterization parameters. The adjusted conveying speed is negatively correlated with the sludge drying characterization parameters.

10. The adaptive sludge drying control method according to claim 1, characterized in that, Acquiring surface images of the corresponding area of ​​sludge under the drying unit to determine the amount of color change in order to ascertain whether it meets the color change standard includes... Acquire surface images at various times within a predetermined time period, and determine the amount of color change of the sludge spread body based on the surface images; If the chromaticity change is greater than or equal to the preset chromaticity transformation standard, it is determined that the chromaticity change standard is met. If the chromaticity change is less than the preset chromaticity change standard, it is determined that it does not meet the chromaticity change standard, and the conveyor belt speed needs to be adjusted. The corrected conveyor belt speed is achieved by reducing the conveyor belt speed by a predetermined percentage.

Images