Automatic sludge concentration detection system based on dynamic parameter adjustment

Abstract

The invention discloses an automatic sludge concentration detection system based on dynamic parameter adjustment, relates to the technical field of sludge concentration detection, and solves the technical problems that in the prior art, sludge and sludge cannot be specifically and differentially controlled, and sewage treatment procedure parameters cannot be reasonably adjusted when the sludge and the sludge are mixed. The treatment process analysis unit is used for analyzing the sewage treatment process so as to deduce whether the sludge influence exists in the execution stage of the sewage treatment process, and dividing the real-time treatment process into high-efficiency treatment and low-efficiency treatment; the sludge distinguishing unit is used for carrying out sludge distinguishing on the position where the sewage treatment process is located after the treatment process analysis is completed, and carrying out sludge and sludge distinguishing according to the process treatment stage; and the classification influence evaluation unit is used for performing influence evaluation according to different precipitate types after completing sludge classification, so that parameter adjustment is performed on sewage treatment processes at corresponding positions according to precipitate influences at different positions.

Description

Technical Field

[0001] This invention relates to the field of sludge concentration detection technology, specifically to an automated sludge concentration detection system based on dynamic parameter adjustment. Background Technology

[0002] Sludge concentration is a core parameter characterizing microbial biomass, reactor load, and treatment efficiency in wastewater treatment. Its automated detection can provide real-time feedback on process status, providing data support for precise control (such as aeration intensity and reflux ratio), and significantly improving treatment stability and energy efficiency.

[0003] However, in existing technologies, sludge and sludge cannot be specifically differentiated and controlled, and wastewater treatment process parameters cannot be reasonably adjusted when sludge and sludge are mixed to reduce the impact of sludge concentration. If sludge is discharged directly without effective treatment or improperly disposed of, the large amount of organic pollutants and heavy metals it contains will enter the water body with the leachate, causing eutrophication, affecting the survival of aquatic organisms, and may also lead to drinking water source pollution. Sludge is generally in a solid or semi-solid state. If it is not effectively treated and utilized, the wastewater treatment process cannot meet the set execution parameters, so the wastewater treatment process and equipment cannot achieve the optimal treatment effect.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by proposing an automated sludge concentration detection system based on dynamic parameter adjustment.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] An automated sludge concentration detection system based on dynamic parameter adjustment includes an automated sludge detection platform, wherein the automated sludge detection platform has the following communication connections:

[0008] The wastewater treatment process analysis unit analyzes the wastewater treatment process to infer whether there is sludge impact during the execution of the wastewater treatment process, and classifies the real-time treatment process into high-efficiency and low-efficiency treatment.

[0009] The sludge separation unit, after completing the treatment process analysis, separates the sludge at the location of the wastewater treatment process and distinguishes between sludge and sludge according to the process treatment stage.

[0010] After classifying sludge, the impact assessment unit conducts an impact assessment based on different sediment types, and then adjusts the parameters of the corresponding wastewater treatment process according to the impact of sediments at different locations.

[0011] In a preferred embodiment of the present invention, the process of the process analysis unit is as follows:

[0012] Collect execution parameters at the locations of each wastewater treatment process;

[0013] Based on the control trend of the execution parameters, the corresponding wastewater treatment process is divided into an enhanced execution phase and a weakened execution phase. The peak values ​​of wastewater quality parameters at the same process location corresponding to the enhanced and weakened execution phases are obtained, and the type of water quality parameter with the largest deviation is selected. At the same time, the range of wastewater quality parameter fluctuation along the control trend in the enhanced execution phase is obtained, and the range of the same type of wastewater quality parameter in the weakened execution phase is restored by the value of the non-control trend. The range ratio is calculated based on the range ratio and marked as the treatment process execution efficiency ratio.

[0014] In a preferred embodiment of the present invention, a threshold comparison is made between the peak value deviation of wastewater quality parameters and the efficiency ratio of the treatment process:

[0015] If the peak value of the wastewater quality parameter deviation exceeds the peak deviation threshold, and the efficiency ratio of the treatment process exceeds the set efficiency ratio threshold, a high-efficiency signal is generated and sent to the sludge automated detection platform. If the peak value of the wastewater quality parameter deviation does not exceed the peak deviation threshold, or the efficiency ratio of the treatment process does not exceed the set efficiency ratio threshold, it is inferred that the treatment process is showing a decreasing efficiency trend, a low-efficiency signal is generated and sent to the sludge automated detection platform.

[0016] In a preferred embodiment of the present invention, the process of the sludge separation unit is as follows:

[0017] Sediment detection is performed at the location of the same processing process. The area is divided into several sub-regions based on the location, and samples are collected from each sub-region to obtain the deviation of the water content of the sediment in the collected samples. At the same time, the fluctuation range of the sediment content at the location of the sub-region during the collection stage is also obtained.

[0018] The water content deviation of the precipitate in the collected samples and the fluctuation range of the precipitate content at the location within the sub-region collection stage are compared with the water content deviation threshold and the content fluctuation range threshold, respectively.

[0019] In a preferred embodiment of the present invention, if the moisture content deviation of the precipitate in the collected sample exceeds the moisture content deviation threshold, it indicates that the precipitate in the current sub-region has a high moisture content; conversely, if the moisture content deviation of the precipitate in the collected sample does not exceed the moisture content deviation threshold, it indicates that the precipitate in the current sub-region has a low moisture content.

[0020] If the fluctuation range of the sediment content at the location of the sediment in the sub-region during the collection phase does not exceed the content fluctuation range threshold, it indicates that the sediment in the current sub-region is highly mobile; if the fluctuation range of the sediment content at the location of the sediment in the sub-region during the collection phase exceeds the content fluctuation range threshold, it indicates that the sediment in the current sub-region is low mobile. Sediments with characteristics of high water content and high mobile are set as sludge sediments; sediments with characteristics of low water content and low mobile are set as sludge sediments; sediments with characteristic combinations other than those mentioned above are marked as mixed sediments; and the types of sediments are sent together to the sludge automated detection platform.

[0021] As a preferred embodiment of the present invention, the process of the categorized impact assessment unit is as follows:

[0022] The system obtains the rate of decrease of wastewater index parameters corresponding to the wastewater treatment process in the current sludge location area. If the rate of decrease does not exceed the set rate threshold, it is inferred that the sludge is hindering the execution of the wastewater treatment process. Conversely, if the rate of decrease exceeds the set rate threshold, it is inferred that the sludge's hindering effect has not increased. The system performs trend analysis on the sludge content and wastewater index parameters. If the sludge content increases and the wastewater index parameters decrease within the same time period, it indicates that the wastewater treatment process is stable, and sludge cleaning is carried out when the characteristic parameters of the corresponding sludge content are monitored and the characteristic parameters drop to the normal range. Conversely, if the sludge content increases and the wastewater index parameters do not fluctuate within the same time period, the execution parameters of the process equipment that is affected by the sludge in the wastewater index parameters are adjusted.

[0023] As a preferred embodiment of the present invention, the set treatment flow rate and actual flow rate of the sewage treatment process at each moment in the area where the sludge is located are obtained, and the satisfying and non-satisfying moments are obtained by comparing the flow rates. That is, if the actual flow rate exceeds the set treatment flow rate, it is a satisfying moment, and otherwise it is a non-satisfying moment.

[0024] Based on the sequence of each time step in the wastewater treatment process, the trend of sludge impact on the treatment process is obtained. If the proportion of non-satisfied time increases, or the frequency of satisfied time turning into non-satisfied time increases, it is inferred that sludge is affecting the wastewater treatment process. The sludge cleaning cycle at the corresponding location is then reset, and the sludge content at the corresponding location is controlled when the wastewater treatment process is executed. If the proportion of non-satisfied time does not increase, and the frequency of satisfied time turning into non-satisfied time does not increase, it is inferred that the sludge cleaning cycle setting is qualified, and sludge cleaning is performed according to the currently set cycle.

[0025] In a preferred embodiment of the present invention, for mixed precipitates, sludge characteristic parameters are monitored and controlled, and the flow rate of the precipitates is increased. The precipitates with lower relative velocities are cleaned up in a timely manner to avoid mixing and accumulation. The precipitates with higher relative velocities are treated and monitored for characteristic parameters to ensure timely discharge, reduce sludge retention time, and avoid secondary mixing. This process is repeated continuously to reduce the amount of mixed precipitates.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] 1. In this invention, the wastewater treatment process is analyzed to infer whether there is sludge impact during the execution stage of the wastewater treatment process, which may lead to a decrease in the execution efficiency of each treatment process. This allows for dynamic adjustment of parameters through sludge detection, thereby improving the reliability and stability of wastewater treatment and reducing the sludge's hindering effect on the efficiency of the treatment process.

[0028] 2. In this invention, sludge is distinguished at the location of the sewage treatment process, and sludge and sludge are distinguished according to the process treatment stage, so as to improve the accuracy of sludge detection. Furthermore, distinguishing between sludge and sludge can improve the targeting of process parameter adjustments and improve the execution efficiency of the sewage treatment process.

[0029] 3. In this invention, the impact is assessed according to different types of sediment, and the parameters of the corresponding sewage treatment process are adjusted according to the impact of sediment at different locations, so as to reduce the impact of sludge and improve the efficiency of sewage treatment. Attached Figure Description

[0030] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0031] Figure 1 This is a system principle block diagram of the present invention;

[0032] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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.

[0034] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0035] Please see Figures 1-2 As shown, the automated sludge concentration detection system based on dynamic parameter adjustment includes an automated sludge detection platform, which is communicatively connected to a treatment process analysis unit, a sludge differentiation unit, and a type-based impact assessment unit.

[0036] The automated sludge detection platform generates treatment process analysis signals and sends them to the treatment process analysis unit.

[0037] After receiving the process analysis signal, the process analysis unit analyzes the wastewater treatment process to infer whether there is sludge impact during the execution of the wastewater treatment process, which may lead to a decrease in the execution efficiency of each process. This allows for dynamic parameter adjustment through sludge detection, thereby improving the reliability and stability of wastewater treatment and reducing the sludge's hindering effect on the efficiency of the treatment process.

[0038] The execution parameters are collected at the location of each wastewater treatment process. The execution parameters are represented by flow rate, liquid level and corresponding execution equipment parameters, such as water pump pressure and blower air pressure.

[0039] Based on the control trend of the execution parameters, the corresponding wastewater treatment process is divided into an enhanced execution stage and a weakened execution stage. The peak values ​​of the wastewater quality parameters at the same process location corresponding to the enhanced and weakened execution stages are obtained. The water quality parameters are represented by parameters such as dissolved oxygen and pH. The type of water quality parameter with the largest deviation is selected.

[0040] Simultaneously, the range of fluctuation of wastewater quality parameters along the control trend during the enhanced execution phase is obtained, and the range of wastewater quality parameters of the same type during the weakened execution phase is restored with values ​​that are not in line with the control trend. The range ratio is calculated based on the range ratio and marked as the treatment process execution efficiency ratio.

[0041] The peak deviation of wastewater quality parameters and the efficiency ratio of treatment processes are compared using threshold parameters.

[0042] If the peak value of the wastewater quality parameter exceeds the peak value threshold and the efficiency ratio of the treatment process exceeds the set efficiency ratio threshold, it is inferred that the treatment process is performing normally, generating a high-efficiency signal and sending the high-efficiency signal to the sludge automated detection platform.

[0043] If the peak deviation of the wastewater quality parameters does not exceed the peak deviation threshold, or the efficiency ratio of the treatment process does not exceed the set efficiency ratio threshold, it is inferred that the treatment process is showing a declining efficiency trend, generating an inefficient treatment signal and sending the inefficient treatment signal to the sludge automated detection platform.

[0044] After completing the process analysis, a sludge differentiation signal is generated and sent to the sludge differentiation unit;

[0045] After receiving the sludge differentiation signal, the sludge differentiation unit differentiates the sludge at the location of the wastewater treatment process and distinguishes between sludge and sludge according to the process stage. This improves the accuracy of sludge detection and allows for more targeted adjustments to process parameters, thereby increasing the efficiency of the wastewater treatment process.

[0046] Sediment detection is performed at the location of the same processing process. The area is divided into several sub-regions based on the location, and samples are collected from each sub-region to obtain the deviation of the water content of the sediment in the collected samples. At the same time, the fluctuation range of the sediment content at the location of the sub-region during the collection stage is also obtained.

[0047] The deviation in water content of precipitates in the collected samples and the fluctuation range of precipitate content at different locations within a sub-region during the sampling phase are compared with the water content deviation threshold and the content fluctuation range threshold, respectively:

[0048] If the moisture content deviation of the precipitate in the collected sample exceeds the moisture content deviation threshold, it indicates that the precipitate in the current sub-region has a high moisture content; conversely, if the moisture content deviation of the precipitate in the collected sample does not exceed the moisture content deviation threshold, it indicates that the precipitate in the current sub-region has a low moisture content.

[0049] If the fluctuation range of the content at the location of the precipitate during the sub-region collection phase does not exceed the content fluctuation range threshold, it indicates that the precipitate in the current sub-region is highly mobile; if the fluctuation range of the content at the location of the precipitate during the sub-region collection phase exceeds the content fluctuation range threshold, it indicates that the precipitate in the current sub-region is low mobile.

[0050] Sediments with high water content and high fluidity are designated as sludge sediments; sediments with low water content and low fluidity are designated as sludge sediments; sediments with other combinations of characteristics are designated as mixed sediments.

[0051] Furthermore, the types of sediments are sent together to the automated sludge testing platform;

[0052] After the sludge is classified, a classification impact assessment signal is generated and sent to the classification impact assessment unit;

[0053] After receiving the categorized impact assessment signal, the categorized impact assessment unit conducts impact assessments based on different sediment types. Based on the impact of sediments at different locations, it adjusts the parameters of the corresponding wastewater treatment processes to reduce the impact of sludge and improve the efficiency of wastewater treatment.

[0054] The system obtains the rate of decrease of wastewater indicator parameters for the corresponding wastewater treatment process in the area where the sludge is located. If the rate of decrease does not exceed a set threshold, it is inferred that the sludge is hindering the wastewater treatment process. Conversely, if the rate of decrease exceeds the set threshold, it is inferred that the sludge's hindering effect has not increased. Trend analysis is performed on the sludge content and wastewater indicator parameters. If the sludge content increases and the wastewater indicator parameters decrease within the same time period, it indicates that the wastewater treatment process is stable, and sludge cleaning is performed when the characteristic parameters of the corresponding sludge content are monitored and return to normal. Conversely, if the sludge content increases and the wastewater indicator parameters do not fluctuate within the same time period, it indicates that the wastewater treatment process is abnormal, and the execution parameters of the process equipment affecting the wastewater indicator parameters are adjusted, such as increasing flow rate or pressure. Wastewater indicator parameters represent water quality parameters of treated wastewater that are not within the discharge standard range; characteristic parameters represent influencing parameters within the sludge, such as organic pollutant content and heavy metal content.

[0055] The system obtains the set treatment flow rate and actual flow rate of the wastewater treatment process at each time point in the area where the sludge is located, and determines the satisfying and non-satisfying times based on the flow rate comparison. That is, if the actual flow rate exceeds the set treatment flow rate, it is a satisfying time, and otherwise it is a non-satisfying time.

[0056] Based on the sequencing of each time step in the wastewater treatment process, the trend of sludge impact on the treatment process is obtained. If the proportion of non-satisfied time increases, or the frequency of satisfied time turning into non-satisfied time increases, it is inferred that sludge affects the wastewater treatment process. The sludge cleaning cycle at the corresponding location is then reset, and the sludge content at the corresponding location is controlled when the wastewater treatment process is executed.

[0057] If the proportion of non-satisfied moments does not increase, and the frequency of satisfied moments turning into non-satisfied moments does not increase, then it is inferred that the sludge cleaning cycle setting is qualified, and sludge cleaning is carried out according to the current set cycle.

[0058] For mixed sediments, sludge characteristic parameters are monitored and controlled, and the flow rate of the sediments is increased. Sediments with lower relative velocities are cleaned up in a timely manner to avoid mixing and accumulation. Sediments with higher relative velocities are treated and monitored for characteristic parameters to ensure timely discharge, reduce sludge retention time, and avoid secondary mixing. This process is repeated continuously to reduce the amount of mixed sediments.

[0059] In use, this invention comprises a process analysis unit that analyzes the wastewater treatment process to infer whether sludge impact exists during the process execution stage, and classifies the real-time treatment process into high-efficiency and low-efficiency treatments; a sludge differentiation unit that, after completing the process analysis, differentiates sludge at the location of the wastewater treatment process, and distinguishes between sludge and sludge residue according to the process treatment stage; and a categorized impact assessment unit that, after completing the sludge differentiation, assesses the impact based on different sediment types, and adjusts the parameters of the wastewater treatment process at the corresponding location based on the sediment impact at different locations.

[0060] Thresholds, preset values, preset ranges, etc. are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influences.

[0061] Furthermore, the settings for weighting ratios, influence factors, etc., are based on the magnitude of each parameter's influence on the results. The specific values ​​are allocated to ultimately reflect the impact on the results. The settings for input and storage are also determined by a combination of large-scale model analysis of sample data and human experience. Appropriate adjustments can also be made based on seasonal or rational influence conditions.

[0062] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An automated sludge concentration detection system based on dynamic parameter adjustment, characterized in that, This includes an automated sludge testing platform, whose communication connections include: The wastewater treatment process analysis unit analyzes the wastewater treatment process to infer whether there is sludge impact during the execution of the wastewater treatment process, and classifies the real-time treatment process into high-efficiency and low-efficiency treatment. The sludge separation unit, after completing the treatment process analysis, separates the sludge at the location of the wastewater treatment process and distinguishes between sludge and sludge according to the process treatment stage. After classifying sludge, the impact assessment unit conducts an impact assessment based on different sediment types, and then adjusts the parameters of the corresponding wastewater treatment process according to the impact of sediments at different locations.

2. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 1, characterized in that, The process of the process analysis unit is as follows: Collect execution parameters at the locations of each wastewater treatment process; Based on the control trend of the execution parameters, the corresponding wastewater treatment process is divided into an enhanced execution phase and a reduced execution phase. The peak values ​​of wastewater quality parameters at the same process location corresponding to the enhanced and weakened execution phases are obtained, and the type of water quality parameter with the largest deviation is selected. At the same time, the range of wastewater quality parameter values ​​along the control trend in the enhanced execution phase is obtained, and the range of wastewater quality parameters of the same type in the weakened execution phase is restored with the values ​​of values ​​outside the control trend. The range ratio is calculated based on the range ratio and marked as the treatment process execution efficiency ratio.

3. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 2, characterized in that, The peak deviation of wastewater quality parameters and the efficiency ratio of treatment processes are compared using threshold parameters. If the peak value of the wastewater quality parameter deviation exceeds the peak deviation threshold, and the efficiency ratio of the treatment process exceeds the set efficiency ratio threshold, a high-efficiency signal is generated and sent to the sludge automated detection platform. If the peak value of the wastewater quality parameter deviation does not exceed the peak deviation threshold, or the efficiency ratio of the treatment process does not exceed the set efficiency ratio threshold, it is inferred that the treatment process is showing a decreasing efficiency trend, a low-efficiency signal is generated and sent to the sludge automated detection platform.

4. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 3, characterized in that, The process of the sludge separation unit is as follows: Sediment detection is performed at the location of the same processing process. The area is divided into several sub-regions based on the location, and samples are collected from each sub-region to obtain the deviation of the water content of the sediment in the collected samples. At the same time, the fluctuation range of the sediment content at the location of the sub-region during the collection stage is also obtained. The water content deviation of the precipitate in the collected samples and the fluctuation range of the content at the location of the precipitate during the sub-region collection stage are compared with the water content deviation threshold and the content fluctuation range threshold, respectively.

5. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 4, characterized in that, If the moisture content deviation of the precipitate in the collected sample exceeds the moisture content deviation threshold, it indicates that the precipitate in the current sub-region has a high moisture content; conversely, if the moisture content deviation of the precipitate in the collected sample does not exceed the moisture content deviation threshold, it indicates that the precipitate in the current sub-region has a low moisture content. If the fluctuation range of the sediment content at the location of the sediment in the sub-region during the collection phase does not exceed the content fluctuation range threshold, it indicates that the sediment in the current sub-region is highly mobile; if the fluctuation range of the sediment content at the location of the sediment in the sub-region during the collection phase exceeds the content fluctuation range threshold, it indicates that the sediment in the current sub-region is low mobile. Sediments with characteristics of high water content and high mobile are set as sludge sediments; sediments with characteristics of low water content and low mobile are set as sludge sediments; sediments with characteristic combinations other than those mentioned above are marked as mixed sediments; and the types of sediments are sent together to the sludge automated detection platform.

6. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 5, characterized in that, The process of classifying impact assessment units is as follows: The rate of decrease of wastewater index parameters corresponding to the wastewater treatment process in the current sludge location is obtained. If the rate of decrease does not exceed the set rate threshold, it is inferred that the sludge is hindering the execution of the wastewater treatment process. Conversely, if the rate of decrease exceeds the set rate threshold, it is inferred that the sludge's hindering effect has not increased. Trend analysis is performed on the sludge content and wastewater index parameters. If the sludge content increases and the wastewater index parameters decrease within the same period, it indicates that the wastewater treatment process is stable. Sludge cleaning is carried out when the characteristic parameters of the corresponding sludge content are monitored and the characteristic parameters drop to the normal range. Conversely, if the sludge content increases during the same period and the wastewater index parameters do not fluctuate, the execution parameters of the process equipment that affects the wastewater index parameters due to sludge should be adjusted.

7. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 6, characterized in that, The system obtains the set treatment flow rate and actual flow rate of the wastewater treatment process at each time point in the area where the sludge is located, and determines the satisfying and non-satisfying times based on the flow rate comparison. That is, if the actual flow rate exceeds the set treatment flow rate, it is a satisfying time, and otherwise it is a non-satisfying time. Based on the sequence of each time step in the wastewater treatment process, the trend of sludge impact on the treatment process is obtained. If the proportion of non-satisfied time increases, or the frequency of satisfied time turning into non-satisfied time increases, it is inferred that sludge is affecting the wastewater treatment process. The sludge cleaning cycle at the corresponding location is then reset, and the sludge content at the corresponding location is controlled when the wastewater treatment process is executed. If the proportion of non-satisfied time does not increase, and the frequency of satisfied time turning into non-satisfied time does not increase, it is inferred that the sludge cleaning cycle setting is qualified, and sludge cleaning is performed according to the currently set cycle.

8. The automated sludge concentration detection system based on dynamic parameter adjustment according to claim 7, characterized in that, For mixed sediments, sludge characteristic parameters are monitored and controlled, and the flow rate of the sediments is increased. Sediments with a relatively low relative velocity of the two sediments are cleaned up in time to avoid mixing and accumulation. Sediments with a relatively high relative velocity are treated and monitored for characteristic parameters to ensure timely discharge, reduce sludge retention time, and avoid secondary mixing. Repeatedly perform the process to reduce the amount of mixed precipitate.

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