Automated sludge dewatering system

Abstract

This invention relates to the field of sludge dewatering technology, and more particularly to a sludge dewatering system based on automated operation. The invention uses a dynamic monitoring module to acquire the detachment trajectory of the filter plates based on images of the detached plates, thereby determining the length range of the filter cake detachment onto the conveyor belt. A feature recognition module determines whether there are any abnormalities in the filter cake detachment process, and an anomaly analysis module constructs a detachment state representation vector for each detachment location and determines the filter cake identification state based on the comparison results of the detachment state representation vectors. A dewatering management module automatically adjusts the sludge dewatering process, including adjusting the pushing parameters of the high-pressure medium in the filter plate interlayer or controlling the flushing unit to pressurize and flush the feature-marked filter cloth. Furthermore, by dynamically monitoring and analyzing the filter cake detachment trajectory and offset characteristics, abnormal adhesion properties are distinguished, and the sludge dewatering process is adaptively controlled, improving the stability of continuous sludge dewatering.

Description

Technical Field

[0001] This invention relates to the field of sludge dewatering technology, and more particularly to a sludge dewatering system based on automated operation. Background Technology

[0002] Sludge dewatering is a core step in wastewater treatment and solid waste disposal to achieve sludge reduction and harmless treatment. Pressure is applied to the sludge through filter plates, causing water to pass through the filter cloth and separate into a filter cake with low moisture content. The filter plates then open, allowing the filter cake to fall onto a conveyor belt for transfer. With the development of automation technology, sludge dewatering systems are gradually upgrading towards unmanned and continuous operation. In actual production, when the sludge dewatering is insufficient, the overall viscosity of the filter cake increases, and existing dewatering systems struggle to accurately identify abnormal adhesion and its causes.

[0003] For example, Chinese Patent Publication No. CN118908523A discloses a wastewater treatment system including an upper filter belt and a lower filter belt for pressing sludge. A gravity dewatering section is provided on the portion of the upper filter belt facing away from the lower filter belt. A compression dewatering section is formed between the upper and lower filter belts. The system also includes a guide plate to guide the sludge from the gravity dewatering section to the compression dewatering section. A control box with openings at the top and bottom is provided between the gravity dewatering section and the compression dewatering section. The lower end of the guide plate is near the opening of the control box. The length of the control box extends along the width of the lower filter belt, and the control box is located above the lower filter belt. A gap is left between the control box and the lower filter belt. The control box is equipped with a vibration assembly. This application can obtain filter cakes with lower moisture content.

[0004] The following problems still exist in the existing technology:

[0005] Existing technologies cannot distinguish abnormal stickiness by dynamically monitoring and analyzing the filter cake's detachment trajectory and offset characteristics, and cannot adaptively adjust during sludge dewatering, thus affecting the stability of continuous sludge dewatering. Summary of the Invention

[0006] To address this, the present invention provides an automated sludge dewatering system. This overcomes the limitations of existing technologies, which cannot distinguish abnormal stickiness through dynamic monitoring and analysis of filter cake detachment trajectories and offset characteristics, and cannot adaptively adjust during sludge dewatering, thus affecting the stability of continuous sludge dewatering.

[0007] To achieve the above objectives, the present invention provides an automated sludge dewatering system, comprising:

[0008] A filter press module includes a filter plate for pressing sludge and a rinsing unit for cleaning the filter cloth on the filter plate, wherein the filter plate has a filter plate interlayer for pushing in a high-pressure medium.

[0009] The dynamic monitoring module is used to acquire images of the filter cake falling off the filter plate, and to acquire the falling trajectory of the filter plate based on the images, so as to determine the length range of the filter cake falling off to the conveyor belt.

[0010] A feature recognition module, which is connected to the dynamic monitoring module, is used to determine whether there is an abnormality in the filter cake shedding process based on the interval deviation analysis results of the shedding performance length interval.

[0011] An anomaly analysis module, which is connected to the feature recognition module, is used to obtain several instances of filter cake shedding at each shedding location based on the judgment result that there is an anomaly in the filter cake shedding process, so as to construct a shedding state representation vector of the filter cake at each shedding location, and determine the filter cake recognition state based on the comparison result of the shedding state representation vector.

[0012] The filter press management module is connected to the filter press module and the anomaly analysis module respectively, and is used to automatically adjust the sludge filter press according to the filter cake identification status. The automatic adjustment includes adjusting the pushing parameters of the high pressure medium in the filter plate interlayer, or controlling the flushing unit to pressurize and flush the characteristic marked filter cloth.

[0013] The feature-marked filter cloth is determined based on the vector information of the shedding deviation vector.

[0014] Furthermore, the dynamic monitoring module is used to determine the length range of the filter cake falling onto the conveyor belt, wherein,

[0015] The dynamic monitoring module is used to establish a rectangular coordinate system with the conveyor belt conveying direction as the horizontal axis, determine the coordinates of the contact point where the filter cake falls onto the conveyor belt at any falling position, and determine the length range formed by the maximum and minimum values ​​of the contact point coordinates along the horizontal axis as the falling performance length interval.

[0016] Furthermore, the feature recognition module is used to determine the spatial central axis at the detachment location, and to determine the interval deviation value of the detachment performance length interval based on the positional relationship between the spatial central axis and the interval endpoints of the detachment performance length interval;

[0017] The detachment location is the position between two adjacent filter plates.

[0018] Furthermore, the feature recognition module is used to determine whether there are any abnormalities in the filter cake shedding process, wherein,

[0019] The feature recognition module compares the interval deviation value with a preset deviation threshold;

[0020] If the deviation value of the interval is greater than the deviation threshold, the feature recognition module determines that there is an anomaly in the filter cake shedding process.

[0021] Furthermore, the anomaly analysis module is used to construct a representation vector of the filter cake's detachment state at each detachment location, wherein,

[0022] The anomaly analysis module is used to obtain process images of the filter cake's detachment status at each detachment location, and to determine the detachment performance length range corresponding to each detachment based on the process images.

[0023] The anomaly analysis module takes the intersection of the spatial centerline at each detachment location and the conveyor belt as the vector starting point, and determines the vector direction by comparing the coordinates of the endpoints of the detachment performance length interval, so as to construct the detachment state characterization vector.

[0024] The length of the shedding state characterization vector is determined based on the interval deviation value of the shedding state characterization vector.

[0025] Furthermore, the anomaly analysis module is used to determine the comparison results of the shedding state characterization vector, wherein,

[0026] The anomaly analysis module is used to calculate the directional consistency coefficient of several detachment state characterization vectors at the same detachment location;

[0027] The directional consistency coefficient is the ratio of the number of detached state representation vectors with the same vector direction to the total number of detached state representation vectors.

[0028] Furthermore, the anomaly analysis module is used to determine the filter cake identification status, wherein,

[0029] The anomaly analysis module compares the directional consistency coefficient with a preset coefficient reference value;

[0030] If the directional consistency coefficient is less than the reference value, the anomaly analysis module determines the filter cake identification state as the first identification state.

[0031] If the directional consistency coefficient is greater than or equal to the reference value, the anomaly analysis module determines the filter cake identification state as the second identification state.

[0032] Furthermore, the filter press management module is used to automatically adjust the sludge filter press according to the filter cake identification status, wherein,

[0033] If the filter cake identification status is the first identification status, the filter press management module adjusts the pushing parameters of the high-pressure medium in the filter plate interlayer for sludge filter press.

[0034] If the filter cake identification status is the second identification status, the filter press management module controls the rinsing unit to pressurize and rinse the feature-marked filter cloth for sludge filter press.

[0035] Furthermore, the pressure filter management module is used to adjust the feeding parameters of the high-pressure medium in the filter plate interlayer, wherein,

[0036] The pressure filter management module is used to increase the pressure of the high-pressure medium in the filter plate interlayer and extend the duration of the injection.

[0037] The magnitudes of the pushing pressure and the pushing duration are negatively correlated with the directional consistency coefficient.

[0038] Furthermore, the filter press management module is used to determine the characteristic marker filter cloth, wherein,

[0039] The pressure filter management module is used to determine the set of detachment deviation vectors with the largest number of vectors in the set of detachment deviation vectors with the same vector direction as the set of detachment explicit vectors;

[0040] The pressure filtration management module determines the filter cloth to which the vector direction of the shedding deviation vector in the shedding explicit vector set points as the feature-marked filter cloth.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention obtains the detachment trajectory of the filter plate based on the image of the filter plate detachment through a dynamic monitoring module to determine the detachment length range of the filter cake to the conveyor belt; the feature recognition module determines whether there is any abnormality in the filter cake detachment process based on the interval deviation analysis results of the detachment length range; the anomaly analysis module constructs the detachment state representation vector of the filter cake at each detachment position and determines the filter cake identification state based on the comparison results of the detachment state representation vector; the filtration management module automatically adjusts the sludge filtration according to the filter cake identification state, including adjusting the pushing parameters of the high-pressure medium in the filter plate interlayer or controlling the flushing unit to pressurize and flush the feature-marked filter cloth. Furthermore, by dynamically monitoring and analyzing the filter cake detachment trajectory and offset characteristics to distinguish abnormal adhesion properties, the present invention adaptively regulates the sludge filtration process and improves the stability of continuous sludge filtration.

[0042] Furthermore, the dynamic monitoring module of the present invention converts the spatial position of the filter cake at the moment of contact with the conveyor belt into quantifiable coordinate data. By accurately capturing the coordinate information of all contact points at that moment, the maximum and minimum values ​​of the contact point coordinates in the horizontal direction are extracted. The length range defined by the two is the length range of the detachment performance. This range not only intuitively reflects the scattering distribution range of the filter cake on the conveyor belt, but also indirectly reflects the degree of trajectory deviation of the filter cake under the influence of adhesive force when it detaches.

[0043] Furthermore, the interval deviation value in this invention can quantify the degree of deviation of the filter cake detachment trajectory from the ideal center trajectory. Combining the essential difference in the degree of deviation between normal detachment and abnormal sticky detachment of the filter cake, when there is no abnormal stickiness of the filter cake, the detachment force is uniform, and the interval deviation value will be controlled within the deviation threshold. However, when there is abnormal stickiness, the adhesive force will disrupt the force balance of detachment, causing the interval deviation value to exceed the threshold. Therefore, by comparison, it is possible to intuitively and accurately determine whether there is an abnormality in the filter cake detachment process, and realize the dynamic monitoring and analysis of the filter cake detachment trajectory and deviation characteristics.

[0044] Furthermore, this invention quantifies the concentration of the shift direction of multiple filter cake detachments by calculating the directional consistency coefficient of several detachment state characterization vectors at the same detachment location, i.e., the ratio of the number of vectors with the same direction to the total number of vectors. In the actual filter press process, the abnormal adhesion caused by the unstable dewatering amount of sludge filter press will cause the filter cake to be subjected to irregular force, and the shift direction of multiple detachments will not have a fixed pattern. The directional consistency coefficient is lower than the reference value, which can be identified as the first identification state. On the other hand, the abnormal adhesion caused by the partial residue of the filter press will continue to have a directional influence on the detachment of the filter cake. The shift direction of multiple detachments tends to be consistent, and the directional consistency coefficient is higher than or equal to the reference value, which can be identified as the second identification state. Thus, the abnormal adhesion attributes are distinguished by the dynamic monitoring and analysis of the filter cake detachment trajectory and shift characteristics.

[0045] Furthermore, in this invention, the first identification state corresponds to insufficient sludge dewatering, resulting in filter cake stickiness and irregular detachment direction. The filter press management module specifically adopts an adjustment logic to enhance dewatering. By increasing the pushing pressure of the high-pressure medium in the filter plate interlayer and extending the pushing duration, the water separation efficiency during the sludge pressing process is improved, and the overall stickiness of the filter cake is reduced to improve the detachment state. Considering that the lower the directional consistency coefficient, the more serious the problem of insufficient sludge dewatering, the pushing pressure, pushing duration and directional consistency coefficient are set to be negatively correlated. That is, the smaller the coefficient, the greater the increase in pressure and the longer the duration, so as to achieve adaptive and precise control of dewatering parameters and improve the stability of continuous sludge filter press.

[0046] Furthermore, in this invention, the second identification state corresponds to filter cake directional adhesion caused by filter cloth residue. The filter press management module adopts a directional and precise cleaning adjustment logic. First, from several detachment deviation vectors at the same detachment location, it selects the set of detachment explicit vectors with the same vector direction and the largest number. The direction of this set reflects the directional traction direction of filter cloth residue on filter cake detachment. Then, based on the direction of the detachment deviation vectors in this set, it locates the residual area on the filter cloth that causes adhesion and marks it as a feature-marked filter cloth. Subsequently, it controls the rinsing unit to pressurize and rinse the feature-marked filter cloth. By focusing on the residual area and cleaning the persistent residue on the filter cloth, it eliminates the directional adhesion interference of filter cake detachment, avoids the waste of resources caused by general rinsing, achieves efficient and precise adaptive control, and improves the stability of continuous sludge filter press. Attached Figure Description

[0047] Figure 1 This is a system block diagram of an automated sludge dewatering system according to an embodiment of the present invention;

[0048] Figure 2 This is a schematic diagram of the length range of shedding behavior according to an embodiment of the present invention;

[0049] Figure 3 This is a flowchart illustrating the logic of determining whether there is an abnormality in the filter cake shedding process according to an embodiment of the present invention.

[0050] Figure 4 This is a flowchart illustrating the automatic adjustment of sludge pressing based on the filter cake identification status in an embodiment of the present invention.

[0051] In the diagram: 1-First filter plate, 2-Second filter plate, 3-Central axis of space, 4-Conveyor belt. Detailed Implementation

[0052] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0053] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0054] It should be noted that in the description of this invention, the terms "upper," "lower," "inner," "outer," etc., which indicate the direction or positional relationship, are based on the direction or positional relationship shown in the drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0055] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation" and "connection" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0056] Please see Figure 1 The diagram shown is a system block diagram of an automated sludge dewatering system according to an embodiment of the present invention. The automated sludge dewatering system of the present invention includes:

[0057] A filter press module includes a filter plate for pressing sludge and a rinsing unit for cleaning the filter cloth on the filter plate, wherein the filter plate has a filter plate interlayer for pushing in a high-pressure medium.

[0058] Specifically, the present invention does not limit the specific structure of the filter plate and filter cloth. The filter plate sandwich is a hollow structure to accommodate the high-pressure medium. In the implementation of the present invention, the high-pressure medium can be high-pressure water. The filter plate and filter cloth of the sludge dewatering equipment are components well known to those skilled in the art, and will not be described in detail here.

[0059] Specifically, the present invention does not limit the specific structure of the rinsing unit. The rinsing unit can be composed of an array of high-pressure nozzles and a booster pump. Rinsing the filter cloth in a filter press is an existing technology and will not be described in detail here.

[0060] The dynamic monitoring module is used to acquire images of the filter cake falling off the filter plate, and to acquire the falling trajectory of the filter plate based on the images, so as to determine the length range of the filter cake falling off to the conveyor belt.

[0061] Specifically, the present invention does not limit the specific structure of the dynamic monitoring module. The dynamic monitoring module includes a high-definition industrial camera and a high-frequency LED ring light source to eliminate motion blur.

[0062] A feature recognition module, which is connected to the dynamic monitoring module, is used to determine whether there is an abnormality in the filter cake shedding process based on the interval deviation analysis results of the shedding performance length interval.

[0063] An anomaly analysis module, which is connected to the feature recognition module, is used to obtain several instances of filter cake shedding at each shedding location based on the judgment result that there is an anomaly in the filter cake shedding process, so as to construct a shedding state representation vector of the filter cake at each shedding location, and determine the filter cake recognition state based on the comparison result of the shedding state representation vector.

[0064] The filter press management module is connected to the filter press module and the anomaly analysis module respectively, and is used to automatically adjust the sludge filter press according to the filter cake identification status. The automatic adjustment includes adjusting the pushing parameters of the high pressure medium in the filter plate interlayer, or controlling the flushing unit to pressurize and flush the characteristic marked filter cloth.

[0065] The feature-marked filter cloth is determined based on the vector information of the shedding deviation vector.

[0066] In this invention, pressurized rinsing is a process in which a booster pump pressurizes water and then sprays it onto the filter cloth through a high-pressure nozzle for rinsing. The pressure of pressurized rinsing can be set by those skilled in the art, and for example, the pressure is set to 1 MPa.

[0067] Specifically, the present invention does not limit the specific structure of the feature recognition module, the anomaly analysis module, and the filter press management module. They or their units can be constructed using logic components, such as field-programmable logic components, microprocessors, processors used in computers, etc., which will not be elaborated here.

[0068] Specifically, the dynamic monitoring module is used to determine the length range of the filter cake as it falls onto the conveyor belt, wherein,

[0069] The dynamic monitoring module is used to establish a rectangular coordinate system with the conveyor belt conveying direction as the horizontal axis, determine the coordinates of the contact point where the filter cake falls onto the conveyor belt at any falling position, and determine the length range formed by the maximum and minimum values ​​of the contact point coordinates along the horizontal axis as the falling performance length interval.

[0070] In this invention, the maximum coordinate value X in the horizontal axis direction is extracted. max With minimum coordinate value X min The length range of shedding is expressed as [X] min X max ].

[0071] In this invention, the vertical axis of the rectangular coordinate system is perpendicular to the plane containing the conveyor belt.

[0072] Understandably, in actual operation where the filter cake falls off in a scattered manner, after the sludge is pressed and filtered, adjacent filter plates separate to form gaps. At this point, the filter cake does not fall off as a complete block, but rather, due to factors such as stress distribution during the pressing process, it falls in a scattered state. That is, the filter cake decomposes into multiple small pieces that fall from the gaps between the filter plates onto the surface of the conveyor belt below. During a single fall, multiple small pieces of filter cake will contact the conveyor belt at different locations, forming multiple contact points. By collecting the coordinate values ​​of each contact point in the horizontal axis direction, the maximum coordinate value X in the horizontal axis direction is determined. max With minimum coordinate value X min .

[0073] In this invention, the moment of contact is a frame in the image where the gray values ​​of the filter cake and the conveyor belt surface are fused. The moment of contact is accurately captured by the gray value change detection algorithm. The contact boundary between the filter cake and the conveyor belt is segmented from the image at the moment of contact, the coordinates of the pixels on the contact boundary are extracted, and the coordinates of the pixels are converted into physical space coordinates. The gray value change detection algorithm is widely used in image segmentation and will not be elaborated here.

[0074] It is understood that the dynamic monitoring module of the present invention establishes a rectangular coordinate system with the conveyor belt conveying direction as the horizontal axis, and transforms the spatial position of the filter cake at the moment of contact with the conveyor belt into quantifiable coordinate data. By accurately capturing the coordinate information of all contact points at that moment, the maximum and minimum values ​​of the contact point coordinates in the horizontal axis direction are extracted. The length range defined by the two is the length range of the detachment performance. This range not only intuitively reflects the scattering distribution range of the filter cake on the conveyor belt, but also indirectly reflects the degree of trajectory deviation of the filter cake under the influence of adhesive force when it detaches.

[0075] Please see Figure 2 As shown, it is a schematic diagram of the detachment performance length range in an embodiment of the present invention. The feature recognition module is used to determine the spatial central axis at the detachment location and to determine the interval deviation value of the detachment performance length range based on the positional relationship between the spatial central axis and the interval endpoints of the detachment performance length range.

[0076] The detachment location is the position between two adjacent filter plates.

[0077] For example, two adjacent filter plates are a first filter plate 1 and a second filter plate 2. After filtration, the sealing surfaces of the first filter plate 1 and the second filter plate 2 are separated by hydraulic drive. The resulting gap area is the detachment location. The abscissa of the intersection of the spatial centerline 3 of the gap area and the surface of the conveyor belt 4 is determined. Assuming the abscissa is 100mm, for the detachment length range expressed as [15mm, 205mm], the maximum coordinate value X is... max The distance from the central axis of space is 105mm, and the minimum coordinate value X is... min If the distance from the central axis of the space is 85mm, then the deviation of the length range of the detachment is 20mm.

[0078] Figure 2 In the middle, the maximum coordinate value X max With minimum coordinate value X min The length range between these two values ​​represents the length range of the shedding process.

[0079] It is understood that the spatial centerline of the filter cake during normal detachment in this invention is the ideal center trajectory line of the filter cake detachment under the condition of no abnormal adhesion, and it is used as a benchmark reference to measure whether the filter cake detachment is off-center. Based on the quantified distribution range of the filter cake detachment performance length interval, the interval deviation value is obtained by calculating the vertical distance from the two endpoints of the interval to the spatial centerline and taking the absolute value of the difference between the two. In the actual filter pressing process, the normally detached filter cake is subjected to uniform force, and the detachment performance length interval should be relatively symmetrically distributed on both sides of the spatial centerline, with a small difference in the vertical distance from the two endpoints to the centerline. However, when the filter cake is abnormally adhered, the adhesive force will cause the detachment trajectory to deviate, resulting in a significant difference in the distance between the endpoints of the interval and the centerline. This interval deviation value can accurately quantify the degree of this deviation.

[0080] Please see Figure 3 As shown, it is a logic flowchart for determining whether there is an abnormality in the filter cake shedding process according to an embodiment of the present invention. The feature recognition module is used to determine whether there is an abnormality in the filter cake shedding process.

[0081] The feature recognition module compares the interval deviation value with a preset deviation threshold;

[0082] If the deviation value of the interval is less than or equal to the deviation threshold, the feature recognition module determines that there is no abnormality in the filter cake falling process;

[0083] If the deviation value of the interval is greater than the deviation threshold, the feature recognition module determines that there is an anomaly in the filter cake shedding process.

[0084] In this invention, the preset deviation threshold is determined by those skilled in the art based on preliminary experiments. The average value of the interval deviation of the filter cake at different detachment positions during several detachment processes is recorded in advance, and the average value of the calculated interval deviation is determined as the deviation threshold. Preferably, the deviation threshold in this invention is 25 mm.

[0085] It is understood that the interval deviation value in this invention can quantify the degree of deviation of the filter cake falling trajectory from the ideal center trajectory. Combined with the essential difference in the degree of deviation when the filter cake falls normally and when it falls abnormally sticky, when there is no abnormal stickiness, the falling force is uniform and the interval deviation value will be controlled within the deviation threshold. However, when there is abnormal stickiness, the adhesive force will disrupt the falling force balance, causing the interval deviation value to exceed the threshold. Therefore, by comparison, it is possible to intuitively and accurately determine whether there is an abnormality in the filter cake falling process.

[0086] Specifically, the anomaly analysis module is used to construct a representation vector of the detachment state of the filter cake at each detachment location, wherein,

[0087] The anomaly analysis module takes the intersection of the spatial centerline at each detachment location and the conveyor belt as the vector starting point, and determines the vector direction by comparing the coordinates of the endpoints of the detachment performance length interval, so as to construct the detachment state characterization vector.

[0088] The length of the shedding state characterization vector is determined based on the interval deviation value of the shedding state characterization vector.

[0089] In this invention, the distances between the abscissas of the two endpoints of the detachment performance length interval and the spatial central axis are determined, and the direction pointed to by the endpoint with the larger distance is taken as the vector direction of the detachment state characterization vector; for example, for a detachment performance length interval expressed as [15mm, 205mm], the abscissa of the spatial central axis is 100mm, and the maximum coordinate value X max The distance from the central axis of space is 105mm, and the minimum coordinate value X is... min If the distance from the central axis in space is 85mm, then the vector direction of the detachment state characterization vector points to the maximum coordinate value X. max The direction.

[0090] It is understood that in this invention, the anomaly analysis module uses the intersection of the central axis of the detachment location space and the conveyor belt as the starting point of the vector. It determines the vector direction by comparing the relative positions of the coordinates of the two ends of the detachment performance length interval with the reference origin. This directly reflects the offset direction of the filter cake detachment. At the same time, it converts the interval deviation value into the vector length, and finally constructs a detachment state characterization vector that has both offset direction and offset intensity information. This can transform the complex state of each filter cake detachment into a comparable feature.

[0091] Specifically, the anomaly analysis module is used to determine the comparison results of the shedding state characterization vector, wherein,

[0092] The anomaly analysis module is used to calculate the directional consistency coefficient of several detachment state characterization vectors at the same detachment location;

[0093] The directional consistency coefficient is the ratio of the number of detached state representation vectors with the same vector direction to the total number of detached state representation vectors.

[0094] For example, for a certain detachment location, the filter cake detachment performance at that location is collected 15 times consecutively, and 15 detachment state representation vectors are constructed; that is, the total number of detachment state representation vectors n=15. If the number of vectors with the same direction m=13, then the direction consistency coefficient C=13 / 15=0.87.

[0095] In this invention, at least 10 consecutive measurements of filter cake shedding behavior are taken at locations where abnormal shedding occurs during the filter cake shedding process.

[0096] Please see Figure 4 As shown, this is a flowchart illustrating the automatic adjustment of sludge pressing based on filter cake identification status according to an embodiment of the present invention. The anomaly analysis module is used to determine the filter cake identification status, wherein...

[0097] The anomaly analysis module compares the directional consistency coefficient with a preset coefficient reference value;

[0098] If the directional consistency coefficient is less than the reference value, the anomaly analysis module determines the filter cake identification state as the first identification state.

[0099] If the directional consistency coefficient is greater than or equal to the reference value, the anomaly analysis module determines the filter cake identification state as the second identification state.

[0100] In this invention, the purpose of the preset coefficient reference value is to distinguish whether the vector direction of the detachment state characterization vector is consistent. The value of the coefficient reference value is set by those skilled in the art according to the requirements of distinguishing the filter cake identification state. The range of the coefficient reference value is [0.8, 0.9]. Preferably, the coefficient reference value in the implementation can be 0.85.

[0101] Understandably, this invention quantifies the concentration of the shift direction of multiple filter cake detachments by calculating the directional consistency coefficient of several detachment state characterization vectors at the same detachment location, i.e., the ratio of the number of vectors with the same direction to the total number of vectors. In the actual filter press process, the abnormal adhesion caused by the unstable dewatering amount of sludge filter press will cause the filter cake to be subjected to irregular force, and the shift direction of multiple detachments will not have a fixed pattern. The directional consistency coefficient is lower than the reference value, which can be identified as the first identification state. On the other hand, the abnormal adhesion caused by the partial residue of the filter press will continue to have a directional influence on the detachment of the filter cake. The shift direction of multiple detachments tends to be consistent, and the directional consistency coefficient is higher than or equal to the reference value, which can be identified as the second identification state. Thus, the abnormal adhesion state can be accurately distinguished.

[0102] Specifically, the filter press management module is used to automatically adjust the sludge filter press according to the filter cake identification status, wherein,

[0103] If the filter cake identification status is the first identification status, the filter press management module adjusts the pushing parameters of the high-pressure medium in the filter plate interlayer for sludge filter press.

[0104] If the filter cake identification status is the second identification status, the filter press management module controls the rinsing unit to pressurize and rinse the feature-marked filter cloth for sludge filter press.

[0105] Specifically, the pressure filtration management module is used to adjust the parameters for pushing the high-pressure medium into the filter plate interlayer, wherein,

[0106] The pressure filter management module is used to increase the pressure of the high-pressure medium in the filter plate interlayer and extend the duration of the injection.

[0107] The magnitudes of the pushing pressure and the pushing duration are negatively correlated with the directional consistency coefficient.

[0108] For example, when the reference value of the coefficient is 0.85;

[0109] If 0.85 > directional consistency coefficient ≥ 0.7, then increase the pushing pressure of the high-pressure medium in the filter plate interlayer to 1.15P0 and extend the pushing duration to 1.2T0.

[0110] If 0.7 > directional consistency coefficient ≥ 0.55, then increase the pushing pressure of the high-pressure medium in the filter plate interlayer to 1.25P0 and extend the pushing duration to 1.3T0.

[0111] If 0.55 > directional consistency coefficient, then increase the pushing pressure of the high-pressure medium in the filter plate interlayer to 1.35P0 and extend the pushing duration to 1.4T0.

[0112] Among them, the maximum values ​​after adjustment are: the pushing pressure is increased to 1.35P0 and the pushing maintenance time is extended to 1.4T0. P0 is the initial value of the pushing pressure of the high-pressure medium in the filter plate interlayer, and T0 is the initial value of the pushing maintenance time. Preferably, in the implementation, the initial value of the pushing pressure P0 is 1.5MPa, and the initial value of the pushing maintenance time T0 is 15 seconds. The pushing maintenance time is the duration for which the pushing pressure of the high-pressure medium in the filter plate interlayer is maintained. The pushing maintenance time and pushing pressure are common parameter settings in sludge filter press equipment and are well known to those skilled in the art. They will not be described in detail here.

[0113] It is understandable that the first identification state in this invention corresponds to insufficient sludge dewatering, resulting in filter cake stickiness and irregular detachment direction. The filter press management module specifically adopts an adjustment logic to enhance dewatering. By increasing the pushing pressure of the high-pressure medium in the filter plate interlayer and extending the pushing maintenance time, the water separation efficiency during the sludge pressing process is improved, and the overall stickiness of the filter cake is reduced to improve the detachment state. Considering that the lower the directional consistency coefficient, the more serious the problem of insufficient sludge dewatering, the pushing pressure, pushing maintenance time and directional consistency coefficient are set to be negatively correlated. That is, the smaller the coefficient, the greater the increase in pressure and the longer the maintenance time, so as to achieve adaptive and precise control of dewatering parameters.

[0114] Specifically, the filter press management module is used to determine the characteristic marker filter cloth, wherein,

[0115] The pressure filter management module is used to determine the set of detachment deviation vectors with the largest number of vectors in the set of detachment deviation vectors with the same vector direction as the set of detachment explicit vectors;

[0116] The pressure filtration management module determines the filter cloth to which the vector direction of the shedding deviation vector in the shedding explicit vector set points as the feature-marked filter cloth.

[0117] For example, for a detachment length range expressed as [15mm, 205mm], the horizontal coordinate of the spatial central axis is 100mm, and the vector direction of the detachment state characterization vector points to the maximum coordinate value X. max The direction of the feature marker filter cloth is the bias towards the maximum coordinate value X. max The filter cloth on one side.

[0118] It is understood that in this invention, the second identification state corresponds to the filter cake sticking due to residue in the filter cloth. The filter press management module adopts a targeted and precise cleaning adjustment logic. First, from several detachment deviation vectors at the same detachment location, it selects the set of detachment explicit vectors with the same vector direction and the largest number. The direction of this set reflects the directional traction direction of the filter cake detachment caused by the residue in the filter cloth. Then, based on the direction of the detachment deviation vectors in this set, it locates the residual area on the filter cloth that causes adhesion and marks it as a feature-marked filter cloth. Subsequently, it controls the flushing unit to pressurize and flush the feature-marked filter cloth. By focusing on the residual area and cleaning the persistent residue on the filter cloth, it eliminates the interference of directional adhesion of the filter cake detachment, avoids the waste of resources caused by general flushing, achieves efficient and precise adaptive control, and improves the stability of continuous sludge filter press.

[0119] In the implementation of this invention, if there are several abnormal detachment locations in the filter cake detachment process, and the filter cake identification status in several detachment occurrences at each detachment location includes both a first identification status and a second identification status, then the filter press management module needs to simultaneously perform two measures: adjusting the high-pressure medium pushing parameters of the filter plate interlayer and controlling the flushing unit to pressurize and flush the feature-marked filter cloth.

[0120] The technical solution of the present invention has been described above with reference to 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 can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0121] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A sludge dewatering system based on automated operation, characterized in that, include: A filter press module includes a filter plate for pressing sludge and a rinsing unit for cleaning the filter cloth on the filter plate, wherein the filter plate has a filter plate interlayer for pushing in a high-pressure medium. The dynamic monitoring module is used to acquire images of the filter cake falling off the filter plate, and to acquire the falling trajectory of the filter plate based on the images, so as to determine the length range of the filter cake falling off to the conveyor belt. The dynamic monitoring module is used to establish a rectangular coordinate system with the conveyor belt conveying direction as the horizontal axis, determine the contact point coordinates of the filter cake falling to the conveyor belt at any falling position, and determine the length range formed by the maximum and minimum values ​​of the contact point coordinates along the horizontal axis as the falling performance length interval. A feature recognition module, which is connected to the dynamic monitoring module, is used to determine whether there is an abnormality in the filter cake shedding process based on the interval deviation analysis results of the shedding performance length interval. The feature recognition module is used to determine the spatial central axis at the detachment location, and to determine the interval deviation value of the detachment performance length interval based on the positional relationship between the spatial central axis and the interval endpoints of the detachment performance length interval. The detachment location is the position between two adjacent filter plates. The feature recognition module compares the interval deviation value with a preset deviation threshold. If the interval deviation value is greater than the deviation threshold, the feature recognition module determines that there is an abnormality in the filter cake falling process. An anomaly analysis module, which is connected to the feature recognition module, is used to obtain several instances of filter cake shedding at each shedding location based on the judgment result that there is an anomaly in the filter cake shedding process, so as to construct a shedding state representation vector of the filter cake at each shedding location, and determine the filter cake recognition state based on the comparison result of the shedding state representation vector. The anomaly analysis module is used to obtain process images of the filter cake's detachment status at each detachment location, and to determine the detachment performance length range corresponding to each detachment based on the process images. The anomaly analysis module takes the intersection of the spatial centerline at each detachment location and the conveyor belt as the vector starting point, and determines the vector direction by comparing the coordinates of the endpoints of the detachment performance length interval, so as to construct the detachment state characterization vector. The vector length of the detachment state characterization vector is determined according to the interval deviation value of the detachment state characterization vector. The anomaly analysis module is used to calculate the directional consistency coefficient of several detachment state characterization vectors at the same detachment location. The directional consistency coefficient is the ratio of the number of detachment state characterization vectors with the same vector direction to the total number of detachment state characterization vectors. The anomaly analysis module compares the directional consistency coefficient with a preset coefficient reference value. If the directional consistency coefficient is less than the coefficient reference value, the anomaly analysis module determines the filter cake recognition state as the first recognition state. If the directional consistency coefficient is greater than or equal to the coefficient reference value, the anomaly analysis module determines the filter cake recognition state as the second recognition state. The filter press management module is connected to the filter press module and the anomaly analysis module respectively, and is used to automatically adjust the sludge filter press according to the filter cake identification status. The automatic adjustment includes adjusting the pushing parameters of the high pressure medium in the filter plate interlayer, or controlling the flushing unit to pressurize and flush the characteristic marked filter cloth. If the filter cake identification status is the first identification status, the filter press management module adjusts the pushing parameters of the high-pressure medium in the filter plate interlayer for sludge filter press. If the filter cake identification status is the second identification status, the filter press management module controls the flushing unit to pressurize and flush the feature-marked filter cloth. The feature-marked filter cloth is determined based on the vector information of the shedding deviation vector.

2. The sludge dewatering system based on automated operation according to claim 1, characterized in that, The pressure filter management module is used to adjust the parameters for pushing the high-pressure medium into the filter plate interlayer, wherein, The pressure filter management module is used to increase the pressure of the high-pressure medium in the filter plate interlayer and extend the duration of the injection. The magnitudes of the pushing pressure and the pushing duration are negatively correlated with the directional consistency coefficient.

3. The sludge dewatering system based on automated operation according to claim 1, characterized in that, The filter press management module is used to determine the characteristic marker filter cloth, wherein... The pressure filter management module is used to determine the set of detachment deviation vectors with the largest number of vectors in the set of detachment deviation vectors with the same vector direction as the set of detachment explicit vectors; The pressure filtration management module determines the filter cloth to which the vector direction of the shedding deviation vector in the shedding explicit vector set points as the feature-marked filter cloth.

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