Method and system for improving desliming effect of thickener

Abstract

The invention discloses a method and system for improving the desliming effect of a thickener, and relates to the technical field of desliming of thickeners, information of a mud-containing suspension needing to be deslimed this time is collected, and information of each historical desliming time is obtained from a database; analyzing a targeted adsorption functional group group required by the desliming and the mixing ratio of flocculants with different charge densities, blending an initial flocculant mixed solution required by the desliming, setting each flocculation detection moment and each mud scraping detection moment during desliming, setting each mud detection moment, analyzing the rotating speeds of scrapers matched with different mud layer densities, and setting the rotating speeds of the scrapers matched with the different mud layer densities. The mixing ratio of the flocculants with different charge densities is adjusted according to the mud particle Zeta potential of the mud-containing suspension at each flocculation detection moment, and the rotating speed of the scraper blade of each mud layer is adjusted according to the mud layer density of each mud layer at each mud scraping detection moment, so that the adding effectiveness of the flocculants and the flocculating settling efficiency are guaranteed, and the desliming effect of the thickener is also guaranteed.

Description

Technical Field

[0001] This invention relates to the field of thickener desliming technology, specifically to a method and system for improving the desliming effect of thickeners. Background Technology

[0002] In the field of industrial solid-liquid separation, thickeners, as the core equipment for achieving efficient concentration and clarification of mud-containing suspensions, are widely used in key scenarios such as mineral processing, environmental water treatment, and metallurgical smelting. Their desliming effect directly determines the efficiency, energy consumption, and environmental compliance of subsequent processes. However, as industrial production upgrades towards high capacity, low energy consumption, and zero emissions, existing thickener desliming technology is gradually revealing multi-dimensional bottlenecks and cannot meet the needs of complex working conditions and stringent standards.

[0003] Traditional thickener desliming methods and systems involve feeding a mud-containing suspension into the thickener through a central feed cylinder, adding flocculants based on the surface charge of the mud particles, allowing the suspension to settle, and then scraping the mud from the compression zone using scrapers to recover the separated clear liquid and sludge. Clearly, this method has at least the following shortcomings: 1. Traditional thickener desliming methods and systems select flocculants solely based on the surface charge of the mud particles in the suspension, neglecting the specific composition of the mud particles and the stability of the colloids to affect the flocculation effect. Consequently, the effectiveness of flocculant addition and the efficiency of flocculation and sedimentation cannot be guaranteed.

[0004] 2. In traditional thickener desliming methods and systems, the scraper speed is uniform for each mud layer in the compression zone during scraping. However, different mud layers have different densities, and the corresponding scraper speeds are different. When the mud layer density and scraper speed are mismatched, the separation effect and settling efficiency of the thickener are affected, thus failing to guarantee the settling efficiency and the desliming effect of the thickener. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the present invention aims to provide a method and system for improving the desliming effect of a thickener.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides a method for improving the sludge removal effect of a thickener, comprising the following steps: S1, data acquisition: information on the sludge-containing suspension to be desludged is acquired by an instrument and stored in a database.

[0007] S2. Flocculant preparation: Obtain information on the mud-containing suspension that needs to be desludged this time, and retrieve information on previous desludge removals from the database. Based on the information on the mud-containing suspension that needs to be desludged this time and the information on previous desludge removals, prepare the initial flocculant required for this desludge removal.

[0008] S3. Thickener Desliming: The mud-containing suspension to be deslimed is transported to the thickener through the central feed cylinder, and the prepared initial flocculant mixture is added to the mud-containing suspension. At the same time, the suspension information in each area is monitored, and the scraper speed is adjusted to carry out desliming.

[0009] S4. Collection and Recovery: Obtain the separated clear liquid and sludge, and recover them.

[0010] Secondly, the present invention provides a system for improving the sludge removal effect of a thickener, comprising the following modules: a data acquisition module for acquiring information on the sludge-containing suspension to be desludged using an instrument and storing it in a database.

[0011] The flocculant preparation module is used to obtain information about the mud-containing suspension that needs to be desludged this time, and to obtain information about previous desludge ...

[0012] The thickener desliming module is used to transport the mud-containing suspension that needs to be deslimed to the thickener through the central feed cylinder, add the prepared initial flocculant mixture to the mud-containing suspension, monitor the suspension information in each area, and adjust the scraper speed to perform desliming.

[0013] The collection and recycling module is used to obtain and recycle the separated clear liquid and sludge.

[0014] The database is used to store information about the mud-containing suspension that needs to be deslimed this time, information about previous desliming operations, and the specific components of each mud particle and the corresponding targeted adsorption functional groups.

[0015] The beneficial effects of this invention are as follows: 1. This invention provides a method and system for improving the desliming effect of a thickener. It collects information on the sludge-containing suspension to be deslimed and retrieves historical desliming information from a database. It analyzes the targeted adsorption functional groups and flocculant mixing ratios with different charge densities required for this desliming process, and adjusts the initial flocculant mixture required for this desliming. During desliming, it sets various flocculation detection times and sludge scraping detection times, and sets various sludge measurements. It analyzes the scraper rotation speed matched to different sludge layer densities. At each flocculation detection time, it adjusts the flocculant mixing ratios with different charge densities based on the zeta potential of the sludge particles in the sludge suspension. At each sludge scraping detection time, it adjusts the scraper rotation speed of each sludge layer based on the sludge layer density of each sludge measurement. This ensures the effectiveness of flocculant addition and the efficiency of flocculation and sedimentation, and also guarantees the desliming effect of the thickener.

[0016] 2. In this invention, the mud-containing suspension to be deslimed is referred to as labeled mud-containing suspension. Several mud-containing suspension samples are randomly selected from the labeled mud-containing suspension. The specific components of each mud particle in the labeled mud-containing suspension and the corresponding targeted adsorption functional groups are obtained from the database. These are then randomly combined to obtain targeted adsorption functional group sets. Each targeted adsorption functional group set is added to each mud-containing suspension sample to obtain the required targeted adsorption functional group sets. The zeta potential of mud particles, the charge density of flocculants, and the flocculation efficiency of mud-containing suspensions during historical desliming processes are obtained from the database. The initial zeta potential of mud particles in the labeled mud-containing suspension is detected. The mixing ratio of flocculants with different charge densities in this desliming process is analyzed to ensure the effectiveness of flocculant addition and the efficiency of flocculation and sedimentation.

[0017] 3. In this invention, during the flocculation and sedimentation process, each flocculation sampling time is set according to a preset flocculation time interval. At each flocculation sampling time, the zeta potential of the mud particles in the labeled mud-containing suspension is detected to determine whether it is necessary to adjust the mixing ratio of flocculants with different charge densities in the flocculant mixture at each flocculation sampling time. If adjustment is needed, flocculants with different charge densities are added to the labeled mud-containing suspension according to the mud particle zeta potential level-charge density table. If not, the zeta potential of the mud particles in the labeled mud-containing suspension is continuously detected. The compression zone is divided into mud layers according to a preset thickness threshold. The mud layer density, supernatant turbidity, and water content of the compression zone during each historical desliming operation are obtained from the database. The scraper rotation speed matched with different mud layer densities is analyzed. The mud layer density of each mud layer is detected and the rotation speed of the scraper for each mud layer is obtained and adjusted. At the same time, each scraping detection time is set according to a preset scraping time interval. At each scraping detection time, the rotation speed of the scraper for each mud layer is adjusted according to the mud layer density of each mud layer, ensuring the desliming effect of the thickener. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention.

[0020] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figure 1 As shown, the present invention provides a method for improving the sludge removal effect of a thickener, comprising: S1, data acquisition: collecting information on the sludge-containing suspension to be desludged using an instrument and storing it in a database.

[0023] It should be noted that the information on the mud-containing suspension that needs to be deslimed includes the specific composition of each mud particle and the zeta potential of the mud particles.

[0024] The specific composition of each mud particle was collected using instruments such as X-ray fluorescence spectrometer and inductively coupled plasma mass spectrometer, and the zeta potential of the mud particles was detected by laser Doppler electrophoresis.

[0025] S2. Flocculant preparation: Obtain information on the mud-containing suspension that needs to be desludged this time, and retrieve information on previous desludge removals from the database. Based on the information on the mud-containing suspension that needs to be desludged this time and the information on previous desludge removals, prepare the initial flocculant required for this desludge removal.

[0026] It should be noted that the information from previous sludge removal processes includes the zeta potential of the mud particles in the sludge suspension, the charge density and flocculation efficiency of the flocculant, as well as the mud layer density in the compression zone, the turbidity of the supernatant, and the water content in the compression zone.

[0027] In one specific embodiment, the flocculant preparation process is as follows: the mud-containing suspension to be desludged is referred to as the labeled mud-containing suspension, and several mud-containing suspension samples are randomly selected from the labeled mud-containing suspension.

[0028] It should be noted that the extraction volume of each mud-containing suspension sample is the same.

[0029] The specific components of each mud particle in the mud-containing suspension and the corresponding targeted adsorption functional groups of each mud particle were obtained from the database and randomly combined to obtain each targeted adsorption functional group. Each targeted adsorption functional group was added to each mud-containing suspension sample to obtain the required targeted adsorption functional group.

[0030] It should be noted that different components have different targeted adsorption functional groups. For example, heavy metal components have amino and thiol groups as their targeted adsorption functional groups, while oily organic sludge components have hydrophobic long-chain alkyl groups as their targeted adsorption functional groups. This example is for illustrative purposes only and is not the only valid one.

[0031] It should also be noted that, assuming there are three specific components, the first type corresponds to the following targeted adsorption functional groups: and The second type corresponds to the following targeted adsorption functional groups: and The third type corresponds to the following targeted adsorption functional groups: The targeted adsorption functional groups are respectively , , , .

[0032] The zeta potential of mud particles, charge density of flocculants, and flocculation efficiency of mud-containing suspensions during each historical desliming process were obtained from the database. The initial zeta potential of mud particles in the labeled mud-containing suspensions was also detected, and the mixing ratio of flocculants with different charge densities in this desliming process was analyzed.

[0033] Based on the targeted adsorption functional groups and the mixing ratio of flocculants with different charge densities required for this desludge removal, the initial flocculant mixture required for this desludge removal was prepared.

[0034] The specific process for obtaining the required targeted adsorption functional groups is as follows: After a preset detection time threshold, the concentration of mud particles in the supernatant of each mud-containing suspension sample is detected, and each mud-containing suspension sample is stirred. After a preset stirring time threshold, the diameter of the flocs in each mud-containing suspension sample is detected.

[0035] It should be noted that the preset detection time threshold is a critical value used to determine whether each mud-containing suspension sample has completed sedimentation, and both the preset detection time threshold and the preset stirring time threshold are set by the staff.

[0036] It should also be noted that the concentration of mud particles in the supernatant and the diameter of flocs in the mud-containing suspension sample were detected by a laser particle size analyzer.

[0037] Based on the mud particle concentration in the supernatant of each mud-containing suspension sample and the diameter of the flocs in each mud-containing suspension sample after stirring, the return value of each mud-containing suspension sample was analyzed. Each mud-containing suspension sample with a return value of 1 was called a labeled mud-containing suspension sample. The targeted adsorption functional group added to each labeled mud-containing suspension sample was called a labeled targeted adsorption functional group. One labeled targeted adsorption functional group was randomly selected from each labeled targeted adsorption functional group and used as the required targeted adsorption functional group.

[0038] It should be noted that the diameter of the flocs in each mud-containing suspension sample was collected before stirring, and the difference between the diameter of the flocs in each mud-containing suspension sample before stirring and the diameter of the flocs in each mud-containing suspension sample after stirring was calculated and used as the difference in the diameter of the flocs in each mud-containing suspension sample.

[0039] The difference between the supernatant mud particle concentration and the floc diameter of each mud-containing suspension sample is compared with a preset concentration threshold and a preset difference threshold. If the supernatant mud particle concentration of a mud-containing suspension sample is less than the preset concentration threshold and the difference in floc diameter is less than the preset difference threshold, the return value of that mud-containing suspension sample is 1. If the supernatant mud particle concentration of a mud-containing suspension sample is greater than the preset concentration threshold or the difference in floc diameter is greater than the preset difference threshold, the return value of that mud-containing suspension sample is 0. The return values ​​of each mud-containing suspension sample are analyzed using this method.

[0040] The preset concentration threshold is a critical value used to determine whether the adsorption efficiency of mud particles meets the standard, and the preset difference threshold is a critical value used to determine whether the adsorption capacity of each targeted adsorption functional group is qualified. The adsorption effect of each historical desliming is obtained from the database, and each historical desliming with good adsorption effect is called a qualified historical desliming. The mud particle concentration of the supernatant during each qualified historical desliming is compared, and the highest mud particle concentration of the supernatant is taken as the preset concentration threshold. Similarly, the preset difference threshold is obtained.

[0041] The above-mentioned analysis of the flocculant mixing ratio with different charge densities in this desliming process is as follows: Analyze the zeta potential level of the mud particles in the mud-containing suspension during each historical desliming process, and divide the historical desliming processes with the same zeta potential level of the mud particles into a desliming group. Obtain each desliming group in this way.

[0042] In each desliming group, the flocculation efficiency of each historical desliming is compared. The historical desliming with the highest flocculation efficiency is called the marked historical desliming, and the charge density of the flocculant during the marked historical desliming is called the marked flocculant charge density. The marked flocculant charge density of each desliming group is obtained in this way. The marked flocculant charge density of each desliming group is the flocculant charge density corresponding to the zeta potential level of the mud particles in each desliming group, and a mud particle zeta potential level-charge density table is constructed.

[0043] Obtain the initial zeta potential level of the labeled mud-containing suspension, and obtain the charge density of the initial flocculant mixture from the mud particle zeta potential level-charge density table. Based on the charge density of the initial flocculant mixture, determine the flocculant mixing ratio for different charge densities in this desludge removal process.

[0044] The above-mentioned analysis of the zeta potential level of mud particles in the mud-containing suspension during each historical desliming process is specifically as follows: The absolute value of the zeta potential level of the mud particles in the mud-containing suspension during each historical desliming process is obtained and compared with the absolute value of the first and second zeta potential levels. If the absolute value of the zeta potential of the mud particles in the mud-containing suspension during a certain historical desliming process is less than the absolute value of the first zeta potential level, then the zeta potential level of the mud particles in the mud-containing suspension during that historical desliming process is level one. If the absolute value of the zeta potential of the mud particles in the mud-containing suspension is greater than the absolute value of the first zeta potential and less than the absolute value of the second zeta potential, then the zeta potential level of the mud particles in the mud-containing suspension during that historical desliming period is level two. If the absolute value of the zeta potential of the mud particles in the mud-containing suspension during a historical desliming period is greater than the absolute value of the second zeta potential, then the zeta potential level of the mud particles in the mud-containing suspension during that historical desliming period is level three. This method can be used to analyze the zeta potential level of the mud particles in the mud-containing suspension during each historical desliming period.

[0045] It should be noted that the absolute values ​​of the first and second mud particle zeta potentials are critical values ​​used to determine the level of mud particle zeta potential in mud-containing suspensions. The stability of colloids during each historical desliming process is obtained from the database. Historical desliming processes with good stability are referred to as secondary-labeled historical desliming processes, and historical desliming processes with poor stability are referred to as tertiary-labeled historical desliming processes. The mud particle zeta potentials of mud-containing suspensions during each secondary-labeled historical desliming process and each tertiary-labeled historical desliming process are obtained from the database.

[0046] The absolute values ​​of the zeta potential of the mud particles in the mud-containing suspension during each secondary-labeled historical desliming were compared, and the smallest absolute value of the zeta potential of the mud particles was taken as the second absolute value of the zeta potential of the mud particles. The absolute values ​​of the zeta potential of the mud particles in the mud-containing suspension during each tertiary-labeled historical desliming were compared, and the largest absolute value of the zeta potential of the mud particles was taken as the first absolute value of the zeta potential of the mud particles.

[0047] It should also be noted that the larger the absolute value of the zeta potential of the mud particles, the higher the stability of the colloid.

[0048] S3. Thickener Desliming: The mud-containing suspension to be deslimed is transported to the thickener through the central feed cylinder, and the prepared initial flocculant mixture is added to the mud-containing suspension. At the same time, the mud density of each mud layer is monitored, and the scraper speed is adjusted to carry out desliming.

[0049] In a specific embodiment, the thickener desliming process is as follows: the labeled mud-containing suspension is transported into the thickener through the central feed cylinder, and the prepared initial flocculant mixture is added to the labeled mud-containing suspension for flocculation and sedimentation. During the flocculation and sedimentation process, each flocculation sampling time is set according to a preset flocculation time interval. At each flocculation sampling time, the zeta potential of the mud particles in the labeled mud-containing suspension is detected to determine whether it is necessary to adjust the mixing ratio of flocculants with different charge densities in the flocculant mixture at each flocculation sampling time. If adjustment is required, flocculants with different charge densities are added to the labeled mud-containing suspension according to the mud particle zeta potential level-charge density table. If not, the zeta potential of the mud particles in the labeled mud-containing suspension is continuously detected.

[0050] It should be noted that the preset flocculation time interval is a critical value used to judge whether the setting of each flocculation collection time is reasonable, and is set by the staff.

[0051] The compression zone is divided into mud layers according to a preset thickness threshold. The mud density of each mud layer is detected, and the mud density, supernatant turbidity, and water content of the compression zone during each historical desliming operation are obtained from the database. The scraper rotation speed matched with different mud layer densities is analyzed, and a mud layer density-rotation speed relationship diagram is plotted. Based on the mud layer density and the mud layer density-rotation speed relationship diagram, the rotation speed of the scraper for each mud layer is obtained and adjusted. At the same time, the scraping detection time is set according to a preset scraping time interval. At each scraping detection time, the rotation speed of the scraper for each mud layer is adjusted according to the mud layer density of each mud layer.

[0052] It should be noted that the density of each mud layer is collected using a concentration sensor.

[0053] It should be noted that the preset thickness threshold is a critical value used to determine whether the division of each mud layer is reasonable. The density of mud layers at different depths is detected, and depths with the same mud layer density are divided into mud layer groups. Each mud layer group is obtained in this way, the depth difference of each mud layer is calculated, the depth differences of each mud layer are compared, and the minimum depth difference is selected as the preset thickness threshold.

[0054] Suppose there are three mud layers. The depths in the first mud layer are 1cm, 2cm, and 3cm; the depths in the second mud layer are 3.5cm, 4.2cm, and 5cm; and the depths in the third mud layer are 5.2cm, 5.6cm, and 6.2cm. The depth difference between the first and third mud layers is 2cm, the difference between the second mud layer is 1.5cm, and the difference between the third mud layer is 1cm. Therefore, the preset thickness threshold is 1cm. This example is for illustrative purposes only and is not the only valid approach.

[0055] It should also be noted that the preset mud-scraping time interval is a critical value used to determine whether the setting of each mud-scraping detection time is reasonable, and it is set by the staff.

[0056] The specific process for determining whether the mixing ratio of flocculants with different charge densities in the flocculant mixture needs to be adjusted at each flocculation sampling time is as follows: Each flocculation sampling time is numbered sequentially. When the number of a certain flocculation sampling time is not 1, the Zeta potential of the mud particles in the marked mud suspension is collected, and the Zeta potential level of the mud particles in the marked mud suspension at that flocculation sampling time is obtained. This level is then compared with the Zeta potential level of the mud particles in the marked mud suspension at the previous flocculation sampling time to obtain the adjustment return value for that flocculation sampling time. If the adjustment return value for that flocculation sampling time is 1, it means that the mixing ratio of flocculants with different charge densities in the flocculant mixture needs to be adjusted at that flocculation sampling time. If the adjustment return value for that flocculation sampling time is 0, it means that the mixing ratio of flocculants with different charge densities in the flocculant mixture does not need to be adjusted at that flocculation sampling time.

[0057] When a certain flocculation sampling time is numbered 1, based on the zeta potential level of the mud particles in the mud-containing suspension marked at that flocculation time and the initial zeta potential level of the mud particles in the mud-containing suspension marked, it is determined whether it is necessary to adjust the flocculant mixing ratio of different charge densities in the flocculant mixture at that flocculation sampling time. This is used to determine whether it is necessary to adjust the flocculant mixing ratio of different charge densities in the flocculant mixture at each flocculation sampling time.

[0058] The above-mentioned analysis of the scraper rotation speed matched with different mud layer densities is specifically carried out as follows: each historical desliming operation with the same mud layer density in the compression zone is divided into an analysis group. Each analysis group is obtained in this way. In each analysis group, the optimal matching rotation speed of the scraper is obtained based on the turbidity of the supernatant and the water content of the compression zone during each historical desliming operation.

[0059] The optimal matching speed of the scraper for each analysis group and the mud density corresponding to each marked desliming group are input into the machine learning model to obtain the matching relationship between mud density and scraper speed. Based on the matching relationship between mud density and scraper speed, the scraper speed matched for different mud densities is obtained.

[0060] It should be noted that the selected machine learning model is a gradient boosting tree. The optimal matching rotational speed of the scraper for each analysis group and the corresponding mud density for each marked desliming group are normalized. Parameters such as the number of trees, learning rate, maximum tree depth, and minimum number of samples for split nodes are set. The processed data is divided into training, validation, and test sets for training the gradient boosting tree. After training, the optimal matching rotational speed of the scraper for each analysis group and the corresponding mud density for each marked desliming group are input into the gradient boosting tree to obtain the matching relationship between mud density and scraper rotational speed. This is existing technology; specifically, the average rotational speed predicted by the model under different mud densities is calculated, and a density-rotational speed curve is plotted.

[0061] The above-mentioned process for obtaining the optimal matching speed of the scraper for each analysis group is as follows: In each analysis group, the turbidity of the supernatant and the water content in the compression zone during each historical desliming operation are obtained. Based on the turbidity of the supernatant and the water content in the compression zone during each historical desliming operation, the speed matching coefficient for each historical desliming operation is determined. The speed matching coefficients of each historical desliming operation are compared, and the historical desliming operation with the highest speed matching coefficient is selected. The speed of the scraper during that historical desliming operation is then obtained from the database. This speed is the optimal matching speed of the scraper. The optimal matching speed of the scraper for each analysis group is obtained in this way.

[0062] It should be noted that the turbidity of the supernatant and the moisture content of the compression zone during each historical sludge removal process were normalized. In the formula Representing history Speed ​​matching coefficient for secondary desliming Representative Shi Di Turbidity of the supernatant during the second sludge removal process Representative Shi Di Moisture content in the compression zone during secondary desliming The serial numbers representing each historical mud removal process, It is a positive integer.

[0063] S4. Collection and Recovery: Obtain the separated clear liquid and sludge, and recover them.

[0064] Please see Figure 2 As shown, the present invention provides a system for improving the sludge removal effect of a thickener, comprising: a data acquisition module for acquiring information on the sludge-containing suspension to be desludged using an instrument, and storing it in a database.

[0065] The flocculant preparation module is used to obtain information about the mud-containing suspension that needs to be desludged this time, and to obtain information about previous desludge ...

[0066] The thickener desliming module is used to transport the mud-containing suspension that needs to be deslimed to the thickener through the central feed cylinder, add the prepared initial flocculant mixture to the mud-containing suspension, monitor the suspension information in each area, and adjust the scraper speed to perform desliming.

[0067] The collection and recycling module is used to obtain and recycle the separated clear liquid and sludge.

[0068] The database is used to store information about the mud-containing suspension that needs to be deslimed this time, information about previous desliming operations, and the specific components of each mud particle and the corresponding targeted adsorption functional groups.

[0069] This invention collects information on the mud-containing suspension to be deslimed and retrieves historical desliming data from a database. It analyzes the targeted adsorption functional groups and flocculant mixing ratios with different charge densities required for this desliming process, and prepares the initial flocculant mixture. During desliming, it sets various flocculation and scraping detection times and sets various mud measurements. It analyzes the scraper rotation speed matched to different mud layer densities. At each flocculation detection time, it adjusts the flocculant mixing ratios with different charge densities based on the zeta potential of the mud particles in the mud suspension. At each scraping detection time, it adjusts the scraper rotation speed of each mud layer based on the mud layer density of each mud measurement. This ensures the effectiveness of flocculant addition and the efficiency of flocculation and sedimentation, as well as the desliming effect of the thickener.

[0070] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for improving the sludge removal effect of a thickener, characterized in that, Includes the following steps: S1. Data Acquisition: Information on the mud-containing suspension that needs to be desludged is collected using instruments and stored in the database; S2. Flocculant preparation: Obtain information on the mud-containing suspension that needs to be desludged this time, and obtain information on previous desludge removals from the database. Based on the information on the mud-containing suspension that needs to be desludged this time and the information on previous desludge removals, prepare the initial flocculant required for this desludge removal. S3. Thickener Desliming: The mud-containing suspension to be deslimed is transported to the thickener through the central feed cylinder, and the prepared initial flocculant mixture is added to the mud-containing suspension. At the same time, the suspension information in each area is monitored, and the scraper speed is adjusted to carry out desliming. S4. Collection and Recovery: Obtain the separated clear liquid and sludge, and recover them.

2. The method for improving the desliming effect of a thickener according to claim 1, characterized in that, The specific process for preparing the flocculant is as follows: The mud-containing suspension to be desludged is called the labeled mud-containing suspension. Several mud-containing suspension samples are randomly selected from the labeled mud-containing suspension. The specific components of each mud particle in the mud-containing suspension and the corresponding targeted adsorption functional groups of each mud particle were obtained from the database and randomly combined to obtain each targeted adsorption functional group. Each targeted adsorption functional group was added to each mud-containing suspension sample to obtain the required targeted adsorption functional group. The zeta potential of mud particles, charge density of flocculants, and flocculation efficiency of mud-containing suspensions during each historical desliming process were obtained from the database. The initial zeta potential of mud particles in the labeled mud-containing suspensions was also detected, and the mixing ratio of flocculants with different charge densities in this desliming process was analyzed. Based on the targeted adsorption functional groups and the mixing ratio of flocculants with different charge densities required for this desludge removal, the initial flocculant mixture required for this desludge removal was prepared.

3. The method for improving the desliming effect of a thickener according to claim 2, characterized in that, The specific process for obtaining the required targeted adsorption functional groups is as follows: After a preset detection time threshold, the concentration of mud particles in the supernatant of each mud-containing suspension sample is detected, and each mud-containing suspension sample is stirred. After a preset stirring time, the diameter of the flocs in each mud-containing suspension sample is detected. Based on the mud particle concentration in the supernatant of each mud-containing suspension sample and the diameter of the flocs in each mud-containing suspension sample after stirring, the return value of each mud-containing suspension sample was analyzed. Each mud-containing suspension sample with a return value of 1 was called a labeled mud-containing suspension sample. The targeted adsorption functional group added to each labeled mud-containing suspension sample was called a labeled targeted adsorption functional group. One labeled targeted adsorption functional group was randomly selected from each labeled targeted adsorption functional group and used as the required targeted adsorption functional group.

4. The method for improving the desliming effect of a thickener according to claim 2, characterized in that, The specific process for analyzing the mixing ratio of flocculants with different charge densities in this sludge removal process is as follows: Analyze the Zeta potential level of mud particles in the mud suspension during each historical desliming process, and group historical desliming processes with the same Zeta potential level of mud particles into one desliming group. Obtain each desliming group in this way. In each desliming group, the flocculation efficiency of each historical desliming is compared. The historical desliming with the highest flocculation efficiency is called the marked historical desliming, and the charge density of the flocculant during the marked historical desliming is called the marked flocculant charge density. The marked flocculant charge density of each desliming group is obtained in this way. Then, the marked flocculant charge density of each desliming group is the flocculant charge density corresponding to the zeta potential level of the mud particles in each desliming group, and a mud particle zeta potential level-charge density table is constructed. Obtain the initial zeta potential level of the labeled mud-containing suspension, and obtain the charge density of the initial flocculant mixture from the mud particle zeta potential level-charge density table. Based on the charge density of the initial flocculant mixture, determine the flocculant mixing ratio for different charge densities in this desludge removal process.

5. The method for improving the desliming effect of a thickener according to claim 4, characterized in that, The analysis of the zeta potential levels of mud particles in the mud-containing suspension during each historical desliming process is as follows: The absolute values ​​of the zeta potential levels of mud particles in the mud-containing suspension during each historical desliming event are obtained and compared with the absolute values ​​of the first and second zeta potential levels. If the absolute value of the zeta potential of the mud particles in the mud-containing suspension during a historical desliming event is less than the absolute value of the first zeta potential level, the zeta potential level of the mud-containing suspension during that historical desliming event is level one. If the absolute value of the zeta potential of the mud particles in the mud-containing suspension during a historical desliming event is greater than the absolute value of the first zeta potential level and less than the absolute value of the second zeta potential level, the zeta potential level of the mud-containing suspension during that historical desliming event is level two. If the absolute value of the zeta potential of the mud particles in the mud-containing suspension during a historical desliming event is greater than the absolute value of the second zeta potential level, the zeta potential level of the mud-containing suspension during that historical desliming event is level three. The zeta potential levels of the mud particles in the mud-containing suspension during each historical desliming event are analyzed using this method.

6. The method for improving the desliming effect of a thickener according to claim 1, characterized in that, The thickener desliming process is as follows: The labeled mud-containing suspension is transported to the thickener through the central feed cylinder. The prepared initial flocculant mixture is added to the labeled mud-containing suspension for flocculation and sedimentation. During the flocculation and sedimentation process, flocculation sampling times are set according to the preset flocculation time interval. At each flocculation sampling time, the zeta potential of the mud particles in the labeled mud-containing suspension is detected to determine whether it is necessary to adjust the mixing ratio of flocculants with different charge densities in the flocculant mixture at each flocculation sampling time. If adjustment is required, flocculants with different charge densities are added to the labeled mud-containing suspension according to the mud particle zeta potential level-charge density table. If not, the zeta potential of the mud particles in the labeled mud-containing suspension is monitored again. The compression zone is divided into mud layers according to a preset thickness threshold. The mud density of each mud layer is detected, and the mud density, supernatant turbidity, and water content of the compression zone during each historical desliming operation are obtained from the database. The scraper rotation speed matched with different mud layer densities is analyzed, and a mud layer density-rotation speed relationship diagram is plotted. Based on the mud layer density and the mud layer density-rotation speed relationship diagram, the rotation speed of the scraper for each mud layer is obtained and adjusted. At the same time, the scraping detection time is set according to a preset scraping time interval. At each scraping detection time, the rotation speed of the scraper for each mud layer is adjusted according to the mud layer density of each mud layer.

7. The method for improving the desliming effect of a thickener according to claim 6, characterized in that, The specific process for determining whether the mixing ratio of flocculants with different charge densities in the flocculant mixture needs to be adjusted at each flocculation sampling time is as follows: The flocculation sampling times are numbered sequentially. When the number of a flocculation sampling time is not 1, the Zeta potential of the mud particles in the marked mud suspension is collected, and the Zeta potential level of the mud particles in the marked mud suspension at that flocculation sampling time is obtained. This level is then compared with the Zeta potential level of the mud particles in the marked mud suspension at the previous flocculation sampling time to obtain the adjustment return value for that flocculation sampling time. If the adjustment return value for that flocculation sampling time is 1, it means that the mixing ratio of flocculants with different charge densities in the flocculant mixture needs to be adjusted at that flocculation sampling time. If the adjustment return value for that flocculation sampling time is 0, it means that the mixing ratio of flocculants with different charge densities in the flocculant mixture does not need to be adjusted at that flocculation sampling time. When a certain flocculation sampling time is numbered 1, based on the zeta potential level of the mud particles in the mud-containing suspension marked at that flocculation time and the initial zeta potential level of the mud particles in the mud-containing suspension marked, it is determined whether it is necessary to adjust the flocculant mixing ratio of different charge densities in the flocculant mixture at that flocculation sampling time. This is used to determine whether it is necessary to adjust the flocculant mixing ratio of different charge densities in the flocculant mixture at each flocculation sampling time.

8. The method for improving the desliming effect of a thickener according to claim 6, characterized in that, The specific process for analyzing the scraper rotation speed matched with different mud layer densities is as follows: Each historical desliming operation with the same mud layer density in the compression zone was divided into an analysis group. Each analysis group was obtained in this way. In each analysis group, the optimal matching speed of the scraper was obtained based on the turbidity of the supernatant and the water content of the compression zone during each historical desliming operation. The optimal matching speed of the scraper for each analysis group and the mud density corresponding to each marked desliming group are input into the machine learning model to obtain the matching relationship between mud density and scraper speed. Based on the matching relationship between mud density and scraper speed, the scraper speed matched for different mud densities is obtained.

9. The method for improving the desliming effect of a thickener according to claim 8, characterized in that, The specific process for obtaining the optimal matching rotation speed of the scraper for each analysis group is as follows: In each analysis group, the turbidity of the supernatant and the water content in the compression zone during each historical desliming operation were obtained. Based on the turbidity of the supernatant and the water content in the compression zone during each historical desliming operation, the rotation speed matching coefficient for each historical desliming operation was determined. The rotation speed matching coefficients of each historical desliming operation were compared, and the historical desliming operation with the highest rotation speed matching coefficient was selected. The rotation speed of the scraper during that historical desliming operation was obtained from the database. This rotation speed is the optimal matching rotation speed of the scraper. The optimal matching rotation speed of the scraper for each analysis group was obtained in this way.

10. A thickener desliming system for implementing the method for improving the desliming effect of a thickener according to any one of claims 1-9, characterized in that, include: The data acquisition module is used to collect information about the mud-containing suspension that needs to be desludged using instruments and store it in the database; The flocculant preparation module is used to obtain information about the mud-containing suspension that needs to be desludged this time, and to obtain information about previous desludge ... The thickener desliming module is used to transport the mud-containing suspension to be deslimed into the thickener through the central feed cylinder, add the prepared initial flocculant mixture to the mud-containing suspension, monitor the suspension information in each area, and adjust the scraper speed to perform desliming. The collection and recovery module is used to acquire and recover the separated clear liquid and sludge. The database is used to store information about the mud-containing suspension that needs to be deslimed this time, information about previous desliming operations, and the specific components of each mud particle and the corresponding targeted adsorption functional groups.

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