An intelligent monitoring method for sewage treatment based on multi-process treatment

Abstract

The invention relates to the technical field of intelligent monitoring of sewage treatment, and specifically discloses an intelligent monitoring method for sewage treatment based on multi-process treatment, the method comprising: pretreatment stage monitoring, sedimentation effect evaluation, drainage flow rate adjustment and primary treatment stage effect evaluation; the invention conducts in-depth analysis on the influence of the deformation of the grid itself on the blockage caused by intercepting larger solid debris, and monitors the sedimentation effect in real time from the changes in the concentration of suspended matter in the water body and the thickness of the sludge at the bottom of the sedimentation tank, so as to flexibly confirm the sedimentation time corresponding to the sedimentation tank, and at the same time judge whether the water flow rate is appropriate by observing the turbidity change of the water outlet at the bottom of the sedimentation tank, thereby reducing the risk of subsequent treatment equipment being blocked or damaged, improving the interception efficiency of solid debris in the pretreatment stage, ensuring the stability of the sedimentation effect, and avoiding the increase of turbidity of the effluent and the great reduction of the sedimentation effect.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring of sewage treatment, and in particular to an intelligent monitoring method for sewage treatment based on multi-process processing. Background Art

[0002] With the rapid development of industrialization and urbanization, the amount of sewage discharge is increasing, and the quality and efficiency of sewage treatment have become key issues in environmental protection. In the traditional sewage treatment process, most of the processes rely on manual regular inspections and empirical judgment to adjust the operating parameters, which has the problem of untimely and inaccurate monitoring. Therefore, there is an urgent need for a method that can accurately and real-timely monitor and intelligently control the sewage treatment process.

[0003] For example, the Chinese patent publication number CN113880311A discloses a sewage treatment system and sewage treatment method, including: a sedimentation tank and a dosing tank connected in sequence through a main pipe, a main water pump is provided on the main pipe, and the main water pump transports the water in the sedimentation tank to the dosing tank through the main pipe, a dosing unit is provided above the dosing tank, a detection unit is provided on the main pipe, the detection unit signal is connected to the host computer, the host computer signal is connected to the dosing unit, and the detection unit is connected to the main pipe through a branch pipe. This application has the function of real-time detection of sewage components, and can adjust the subsequent dosing steps in real time through the host computer. On the one hand, it will not cause environmental pollution due to the abuse of drugs, and on the other hand, it does not need to classify the sewage during the treatment process, and can be treated faster and does not need to repeatedly build different types of sewage treatment plants, which reduces the effect of construction costs.

[0004] The above existing technologies still have the following problems: 1. When intercepting larger solid debris through the grille in the pre-treatment stage, the influence of the grille's own deformation on the blockage caused by intercepting larger solid debris is not deeply analyzed, which increases the risk of subsequent processing equipment being blocked or damaged, and also reduces the interception efficiency of solid debris in the pre-treatment stage.

[0005] 2. Currently, the sedimentation time setting for the sedimentation tank is fixed, and the sedimentation effect is not monitored in real time from the changes in the suspended solids concentration in the water body and the thickness of the sludge at the bottom of the sedimentation tank. As a result, the sedimentation time corresponding to the sedimentation tank cannot be flexibly confirmed, which affects the sedimentation effect of the sewage in the sedimentation tank, and the stability of the sedimentation effect cannot be guaranteed, which reduces the rationality of the hydraulic retention time, thereby affecting the efficiency of the entire treatment system.

[0006] 3. When draining the sedimentation tank, the water flow rate is not judged by observing the turbidity changes at the bottom outlet of the sedimentation tank. It is impossible to avoid whether the suspended matter that has settled is stirred up again, resulting in increased turbidity of the outlet water and a significant reduction in the sedimentation effect. This will not only affect the treatment effect of the sedimentation tank itself, but also have an adverse effect on the subsequent deep treatment process. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an intelligent monitoring method for sewage treatment based on multi-process treatment is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent monitoring method for sewage treatment based on multi-process treatment, comprising the following steps: S1, pretreatment stage monitoring: collecting the water level corresponding to the sewage before treatment and the water level corresponding to the sewage after treatment in the pretreatment stage, and collecting the image corresponding to the grille in the pretreatment stage at the same time, evaluating whether the grille is blocked in the pretreatment stage, if there is blockage, giving a grille blockage prompt, if there is no blockage, executing step S2.

[0009] S2. Sedimentation effect evaluation: Collect the suspended solids concentration in the water body and the thickness of the sludge at the bottom of the sedimentation tank at each monitoring time point within the specified sedimentation time in the primary treatment stage, analyze the sedimentation effect index of the sedimentation tank within the specified sedimentation time, and evaluate whether the water in the sedimentation tank needs to continue to precipitate. If necessary, confirm the required sedimentation time for the water in the sedimentation tank. If not, execute step S3.

[0010] S3, drainage flow rate adjustment: discharge the water in the sedimentation tank in the primary treatment stage, collect the turbidity corresponding to the bottom outlet of the sedimentation tank at each monitoring time point during the discharge process, evaluate whether the water flow rate during the discharge process is appropriate, if not, extract the water flow rate during the discharge process, adjust the water flow rate during the discharge process, if appropriate, execute step S4.

[0011] S4. Evaluation of the effect of the primary treatment stage: Collect the grayscale image corresponding to the discharged water body of the sedimentation tank in the primary treatment stage, and analyze the sewage treatment effect index corresponding to the primary treatment stage. If it is greater than or equal to the set value, continue to enter the secondary treatment stage, otherwise, feedback is given.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention reduces the risk of subsequent processing equipment being blocked or damaged, and also improves the interception efficiency of solid debris in the pretreatment stage by conducting an in-depth analysis of the effect of the grid's own deformation on the blockage caused by intercepting larger solid debris through the grid in the pretreatment stage.

[0013] (2) The present invention monitors the sedimentation effect in real time by monitoring the changes in the concentration of suspended matter in the water body and the thickness of the sludge at the bottom of the sedimentation tank, thereby flexibly confirming the sedimentation time corresponding to the sedimentation tank, avoiding affecting the sedimentation effect of the sewage in the sedimentation tank, ensuring the stability of the sedimentation effect, and improving the rationality of the hydraulic retention time, thereby avoiding affecting the efficiency of the entire treatment system.

[0014] (3) The present invention determines whether the water flow rate is appropriate by observing the turbidity change at the bottom outlet of the sedimentation tank. If it is unqualified, the water flow rate during the discharge process is adjusted to prevent the suspended matter that has already settled from being stirred up again, thereby avoiding the increase of turbidity of the effluent and a significant reduction in the sedimentation effect. This not only ensures the treatment effect of the sedimentation tank itself, but also avoids adverse effects on subsequent deep treatment processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 The figure is a schematic flow chart of the steps of the method of the present invention.

[0017] Figure 2 It is a schematic diagram of the process of the primary treatment stage of sewage in the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1 and Figure 2 As shown, the present invention provides an intelligent monitoring method for sewage treatment based on multi-process treatment, including: S1, pretreatment stage monitoring: collecting the water level corresponding to the sewage before treatment and the water level corresponding to the sewage after treatment in the pretreatment stage, and collecting the image corresponding to the grille in the pretreatment stage at the same time, evaluating whether the grille is blocked in the pretreatment stage, if there is blockage, giving a grille blockage prompt, if there is no blockage, executing step S2.

[0020] It should be noted that the water level corresponding to before sewage treatment and the water level corresponding to after sewage treatment in the pretreatment stage are respectively collected by water level meters installed before and after sewage treatment, and the image corresponding to the grid in the pretreatment stage is collected by a high-definition camera installed.

[0021] In a specific embodiment of the present invention, the specific process of evaluating whether the grille is blocked in the pretreatment stage is as follows: A1, the water level corresponding to the sewage treatment before and the water level corresponding to the sewage treatment after the pretreatment stage are recorded as and .

[0022] A2. Based on the image corresponding to the grid in the preprocessing stage, set the grid blockage influence factor in the preprocessing stage .

[0023] In a specific embodiment of the present invention, the specific process of setting the grid blockage influencing factor in the preprocessing stage is: B1. The top grid piece in the image corresponding to the grid in the preprocessing stage is recorded as the target grid piece, and the other grid pieces are recorded in order from top to bottom as reference grid pieces.

[0024] B2. In the target grid slice of the grid in the preprocessing stage, each monitoring point is arranged from left to right in sequence, which is recorded as each target monitoring point. Each target monitoring point is mapped to each reference grid slice to obtain the mapping point corresponding to each target monitoring point in each reference grid slice, and then the distance between each target monitoring point in the target grid slice of the grid in the preprocessing stage and the mapping point corresponding to each target monitoring point in each reference grid slice is obtained, which is recorded as ,in, Indicates the number of the reference grid sheet, , Indicates the number of the target monitoring point. .

[0025] B3. Setting the grid blockage influence factor in the pre-treatment stage , ,in, Indicates the mapping point spacing deviation between adjacent grid pieces of the set reference, Indicates the number of reference grid pieces, Indicates the number of target monitoring points, represents the first target grid slice in the preprocessing stage. The target monitoring point and Reference grid sheet The distance between the mapping points corresponding to the target monitoring points.

[0026] A3. Calculation of abnormal water level index in the pretreatment stage , ,in, Indicates the water level deviation before and after the set reference. Represents a natural constant.

[0027] A4. Compare the sewage treatment water level anomaly index in the pretreatment stage with the set reference sewage treatment water level anomaly index. If the sewage treatment water level anomaly index in the pretreatment stage is greater than or equal to the set reference sewage treatment water level anomaly index, it indicates that the grille is blocked in the pretreatment stage; otherwise, it indicates that the grille is not blocked in the pretreatment stage.

[0028] The embodiment of the present invention conducts an in-depth analysis of the effect of the deformation of the grille itself on the blockage caused by intercepting larger solid debris through the grille in the pretreatment stage, thereby reducing the risk of subsequent processing equipment being blocked or damaged, and also improving the interception efficiency of solid debris in the pretreatment stage.

[0029] S2. Sedimentation effect evaluation: Collect the suspended solids concentration in the water body and the thickness of the sludge at the bottom of the sedimentation tank at each monitoring time point within the specified sedimentation time in the primary treatment stage, analyze the sedimentation effect index of the sedimentation tank within the specified sedimentation time, and evaluate whether the water in the sedimentation tank needs to continue to precipitate. If necessary, confirm the required sedimentation time for the water in the sedimentation tank. If not, execute step S3.

[0030] It should be noted that the suspended matter concentration in the water body and the sludge thickness at the bottom of the sedimentation tank corresponding to each monitoring time point within the specified sedimentation time in the primary treatment stage are collected by the installed suspended matter concentration sensor and the ultrasonic sludge thickness monitor set at the bottom of the tank respectively.

[0031] In a specific embodiment of the present invention, the specific process of analyzing the sedimentation effect index of the sedimentation tank within the specified sedimentation time is as follows: C1, based on the water suspended matter concentration and the sludge thickness at the bottom of the sedimentation tank corresponding to each monitoring time point within the specified sedimentation time in the primary treatment stage, calculate the sedimentation effect index corresponding to each monitoring time point within the specified sedimentation time in the sedimentation tank ,in, Indicates the number of the monitoring time point, .

[0032] In a specific embodiment of the present invention, the specific process of calculating the sedimentation effect index corresponding to each monitoring time point in the sedimentation tank within the specified sedimentation time is as follows: D1, the water suspended matter concentration and the bottom sludge thickness corresponding to each monitoring time point in the sedimentation tank within the specified sedimentation time in the primary treatment stage are recorded as and .

[0033] D2. Calculate the suspended solids settling efficiency of the sedimentation tank at each monitoring time point within the specified settling time. , ,in, Indicates the number of sedimentation tanks in the primary treatment stage within the specified sedimentation time. The concentration of suspended matter in water corresponding to each monitoring time point.

[0034] D3. Calculate the sedimentation efficiency of the sedimentation tank at the bottom of the pool at each monitoring time point within the specified sedimentation time. , ,in, Indicates the number of sedimentation tanks in the primary treatment stage within the specified sedimentation time. The thickness of the pool bottom sludge corresponding to each monitoring time point.

[0035] D4. Calculate the sedimentation effect index corresponding to each monitoring time point in the sedimentation tank within the specified sedimentation time. , ,in, and They represent the suspended solids sedimentation efficiency and the pool bottom sludge sedimentation efficiency of the set reference respectively.

[0036] C2. Using the monitoring time point as the horizontal coordinate and the sedimentation effect index as the vertical coordinate, a sedimentation effect deviation curve of the sedimentation tank within the specified sedimentation time is constructed, and the slope value is located from the curve as the sedimentation effect growth rate of the sedimentation tank within the specified sedimentation time, which is marked as .

[0037] C3. Calculate the sedimentation effect index of the sedimentation tank within the specified sedimentation time , ,in, Indicates the precipitation effect growth rate of the set reference.

[0038] In a specific embodiment of the present invention, the method for evaluating whether the water in the sedimentation tank needs to continue to precipitate is: comparing the sedimentation effect index of the sedimentation tank within the specified sedimentation time with the set reference sedimentation effect index. If the sedimentation effect index of the sedimentation tank within the specified sedimentation time is greater than or equal to the set reference sedimentation effect index, it indicates that the water in the sedimentation tank does not need to continue to precipitate; otherwise, it indicates that the water in the sedimentation tank needs to continue to precipitate.

[0039] In a specific embodiment of the present invention, the method for determining the required sedimentation time of the water body in the sedimentation tank is: extracting the required additional sedimentation time corresponding to the unit sedimentation effect deviation from the database and recording it as , set the required sedimentation time of the water in the sedimentation tank , ,in, Indicates the precipitation effect index of the set reference.

[0040] The embodiment of the present invention monitors the sedimentation effect in real time from the changes in the concentration of suspended matter in the water body and the thickness of the sludge at the bottom of the sedimentation tank, so as to flexibly confirm the sedimentation time corresponding to the sedimentation tank, avoid affecting the sedimentation effect of the sewage in the sedimentation tank, ensure the stability of the sedimentation effect, and improve the rationality of the hydraulic retention time, thereby avoiding affecting the efficiency of the entire treatment system.

[0041] S3, drainage flow rate adjustment: discharge the water in the sedimentation tank in the primary treatment stage, collect the turbidity corresponding to the bottom outlet of the sedimentation tank at each monitoring time point during the discharge process, evaluate whether the water flow rate during the discharge process is appropriate, if not, extract the water flow rate during the discharge process, adjust the water flow rate during the discharge process, if appropriate, execute step S4.

[0042] It should be noted that, during the discharge process, the turbidity corresponding to the water outlet at the bottom of the sedimentation tank at each monitoring time point is collected by a turbidity meter installed.

[0043] In a specific embodiment of the present invention, the specific method of evaluating whether the water flow rate during the discharge process is appropriate is: the turbidities corresponding to the bottom outlet of the sedimentation tank during the discharge process at each monitoring time point are compared with each other, and the turbidity deviation corresponding to the bottom outlet of the sedimentation tank during the discharge process at each monitoring time point is obtained, and it is compared with the turbidity deviation of the set reference. If the turbidity deviation corresponding to a certain monitoring time point is greater than the turbidity deviation of the set reference, then the monitoring time point is recorded as an abnormal time point, thereby obtaining various abnormal time points in the discharge process, and extracting the first abnormal time point that occurs therefrom. When the first abnormal time point appears, it indicates that the sludge at the bottom of the sedimentation tank is stirred up, so that when the first abnormal time point appears, it indicates that the water flow rate during the discharge process is not appropriate. If there is no abnormal time point in the discharge process, it indicates that the water flow rate during the discharge process is appropriate.

[0044] In a specific embodiment of the present invention, the specific method of adjusting the water flow rate during the discharge process is: the water flow rate during the discharge process is recorded as , extract the unit turbidity deviation corresponding to the required slowing water flow rate from the database and record it as , set the water flow rate during discharge , ,in, Indicates the turbidity deviation corresponding to the abnormal time point.

[0045] The embodiment of the present invention determines whether the water flow rate is appropriate by observing the turbidity change at the water outlet at the bottom of the sedimentation tank. If it is unqualified, the water flow rate in the discharge process is adjusted to prevent the suspended matter that has been settled from being stirred up again, thereby avoiding the increase of turbidity of the effluent and a significant reduction in the sedimentation effect. This not only ensures the treatment effect of the sedimentation tank itself, but also avoids adverse effects on subsequent deep treatment processes.

[0046] S4. Evaluation of the effect of the primary treatment stage: Collect the grayscale image corresponding to the discharged water body of the sedimentation tank in the primary treatment stage, and analyze the sewage treatment effect index corresponding to the primary treatment stage. If it is greater than or equal to the set value, continue to enter the secondary treatment stage, otherwise, feedback is given.

[0047] It should be noted that the grayscale image corresponding to the discharged water body of the sedimentation tank in the primary treatment stage is collected by a high-definition camera, and the collected image is imported into a specific image processing software. After processing by the specific image processing software, the grayscale image corresponding to the discharged water body of the sedimentation tank in the primary treatment stage is obtained.

[0048] In a specific embodiment of the present invention, the secondary treatment stage is one of the core links of sewage treatment. Common biological treatment methods, such as activated sludge method, in the aeration tank, microorganisms feed on organic matter in sewage and decompose organic matter into carbon dioxide and water through aerobic metabolism. The microbial flora in the activated sludge mainly includes bacteria, protozoa and metazoa, among which bacteria are the main force for decomposing organic matter, and they can decompose complex organic pollutants into simple small molecules. This technology is prior art and will not be described in detail here.

[0049] In a specific embodiment of the present invention, the specific process of analyzing the sewage treatment effect index corresponding to the primary treatment stage is as follows: E1. The grayscale value corresponding to each grayscale area is obtained from the grayscale image corresponding to the discharged water body of the sedimentation tank in the primary treatment stage, and the grayscale value is compared with the grayscale value interval corresponding to the turbid water body stored in the database. If the grayscale value corresponding to a grayscale area is within the grayscale value interval corresponding to the turbid water body, the grayscale area is recorded as the turbid water body area, and the number of turbid water body areas corresponding to the discharged water body of the sedimentation tank in the primary treatment stage is counted and recorded as .

[0050] E2. Calculate the sewage treatment effect index corresponding to the primary treatment stage , ,in, Indicates the number of turbid water areas for the set reference.

[0051] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent monitoring method for sewage treatment based on multi-process treatment, characterized in that: The steps include: S1, pre-treatment stage monitoring: collect the water level corresponding to the sewage treatment before and after the sewage treatment in the pre-treatment stage, and collect the image corresponding to the grille in the pre-treatment stage, and evaluate whether the grille is blocked in the pre-treatment stage. If there is blockage, the grille blockage prompt is issued, and if there is no blockage, execute step S2; S2, sedimentation effect evaluation: collect the concentration of suspended solids in the water body and the thickness of the sludge at the bottom of the sedimentation tank at each monitoring time point within the prescribed sedimentation time in the primary treatment stage, analyze the sedimentation effect index of the sedimentation tank within the prescribed sedimentation time, and evaluate whether the water body in the sedimentation tank needs to continue to precipitate. If necessary, confirm the required sedimentation time of the water body in the sedimentation tank. If not, execute step S3; S3, drainage flow rate adjustment: discharge the water in the sedimentation tank in the primary treatment stage, collect the turbidity corresponding to the bottom outlet of the sedimentation tank at each monitoring time point during the discharge process, evaluate whether the water flow rate during the discharge process is appropriate, if not, extract the water flow rate during the discharge process, adjust the water flow rate during the discharge process, if appropriate, execute step S4; S4. Primary treatment stage effect evaluation: collect the grayscale image corresponding to the discharged water body of the sedimentation tank in the primary treatment stage, analyze the sewage treatment effect index corresponding to the primary treatment stage, if it is greater than or equal to the set value, continue to enter the secondary treatment stage, otherwise, feedback is given; The specific process of analyzing the sedimentation effect index of the sedimentation tank within the prescribed sedimentation time is: C1. Based on the concentration of suspended solids in the water body and the thickness of sludge at the bottom of the sedimentation tank at each monitoring time point within the specified sedimentation time in the primary treatment stage, calculate the sedimentation effect index corresponding to each monitoring time point within the specified sedimentation time in the sedimentation tank ,in, Indicates the number of the monitoring time point, ; C2. Using the monitoring time point as the horizontal coordinate and the sedimentation effect index as the vertical coordinate, a sedimentation effect deviation curve of the sedimentation tank within the specified sedimentation time is constructed, and the slope value is located from the curve as the sedimentation effect growth rate of the sedimentation tank within the specified sedimentation time, which is marked as ; C3. Calculate the sedimentation effect index of the sedimentation tank within the specified sedimentation time , ,in, It represents the growth rate of the precipitation effect of the set reference; The specific process of calculating the sedimentation effect index corresponding to each monitoring time point in the sedimentation tank within the prescribed sedimentation time is as follows: D1. The concentration of suspended solids in the water body and the thickness of sludge at the bottom of the sedimentation tank in the primary treatment stage corresponding to each monitoring time point within the prescribed sedimentation time are recorded as and ; D2. Calculate the suspended solids settling efficiency of the sedimentation tank at each monitoring time point within the specified settling time. , ,in, Indicates the number of sedimentation tanks in the primary treatment stage within the specified sedimentation time. The concentration of suspended solids in water corresponding to each monitoring time point; D3. Calculate the sedimentation efficiency of the sedimentation tank at the bottom of the pool at each monitoring time point within the specified sedimentation time. , ,in, Indicates the number of sedimentation tanks in the primary treatment stage within the specified sedimentation time. The thickness of the pool bottom sludge corresponding to each monitoring time point; D4. Calculate the sedimentation effect index corresponding to each monitoring time point in the sedimentation tank within the specified sedimentation time. , ,in, and They represent the suspended solids sedimentation efficiency and the pool bottom sludge sedimentation efficiency of the set reference respectively.

2. According to claim 1, a sewage treatment intelligent monitoring method based on multi-process treatment is characterized in that: The specific process of evaluating whether the grid is blocked in the pretreatment stage is as follows: A1. The water level before sewage treatment and the water level after sewage treatment in the pretreatment stage are recorded as and ; A2. Based on the image corresponding to the grid in the preprocessing stage, set the grid blockage influence factor in the preprocessing stage ; A3. Calculation of abnormal water level index in the pretreatment stage , ,in, Indicates the water level deviation before and after the set reference. represents a natural constant; A4. Compare the sewage treatment water level anomaly index in the pretreatment stage with the set reference sewage treatment water level anomaly index. If the sewage treatment water level anomaly index in the pretreatment stage is greater than or equal to the set reference sewage treatment water level anomaly index, it indicates that the grille is blocked in the pretreatment stage; otherwise, it indicates that the grille is not blocked in the pretreatment stage.

3. The intelligent monitoring method for sewage treatment based on multi-process treatment according to claim 2 is characterized in that: The specific process of setting the grid blockage influencing factor in the pre-processing stage is: B1, the top grid piece in the image corresponding to the grid in the preprocessing stage is recorded as the target grid piece, and the other grid pieces are recorded in order from top to bottom as reference grid pieces; B2. In the target grid slice of the grid in the preprocessing stage, each monitoring point is arranged from left to right in sequence, which is recorded as each target monitoring point. Each target monitoring point is mapped to each reference grid slice to obtain the mapping point corresponding to each target monitoring point in each reference grid slice, and then the distance between each target monitoring point in the target grid slice of the grid in the preprocessing stage and the mapping point corresponding to each target monitoring point in each reference grid slice is obtained, which is recorded as ,in, Indicates the number of the reference grid sheet, , Indicates the number of the target monitoring point. ; B3. Setting the grid blockage influence factor in the pre-treatment stage , ,in, Indicates the mapping point spacing deviation between adjacent grid pieces of the set reference, Indicates the number of reference grid pieces, Indicates the number of target monitoring points, represents the first target grid slice in the preprocessing stage. The target monitoring point and Reference grid sheet The distance between the mapping points corresponding to the target monitoring points.

4. The intelligent monitoring method for sewage treatment based on multi-process treatment according to claim 1 is characterized by: The method for evaluating whether the water in the sedimentation tank needs to continue to precipitate is: comparing the sedimentation effect index of the sedimentation tank within the specified sedimentation time with the set reference sedimentation effect index. If the sedimentation effect index of the sedimentation tank within the specified sedimentation time is greater than or equal to the set reference sedimentation effect index, it indicates that the water in the sedimentation tank does not need to continue to precipitate. Otherwise, it indicates that the water in the sedimentation tank needs to continue to precipitate.

5. The intelligent monitoring method for sewage treatment based on multi-process treatment according to claim 4 is characterized in that: The method for determining the required sedimentation time of the water in the sedimentation tank is: extracting the required additional sedimentation time corresponding to the unit sedimentation effect deviation from the database and recording it as , set the required sedimentation time of the water in the sedimentation tank , ,in, Indicates the precipitation effect index of the set reference.

6. The intelligent monitoring method for sewage treatment based on multi-process treatment according to claim 4 is characterized in that: The specific method for evaluating whether the water flow rate in the discharge process is appropriate is as follows: the turbidities corresponding to the water outlet at the bottom of the sedimentation tank during the discharge process are compared with each other at each monitoring time point, and the turbidity deviation corresponding to the water outlet at the bottom of the sedimentation tank during the discharge process is obtained, and it is compared with the turbidity deviation of the set reference. If the turbidity deviation corresponding to a certain monitoring time point is greater than the turbidity deviation of the set reference, the monitoring time point is recorded as an abnormal time point, thereby obtaining various abnormal time points in the discharge process, and extracting the first abnormal time point that occurs. When the first abnormal time point appears, it indicates that the sludge at the bottom of the sedimentation tank is stirred up, so that when the first abnormal time point appears, it indicates that the water flow rate in the discharge process is not appropriate. If there is no abnormal time point in the discharge process, it indicates that the water flow rate in the discharge process is appropriate.

7. The intelligent monitoring method for sewage treatment based on multi-process treatment according to claim 6 is characterized by: The specific method of adjusting the water flow rate during the discharge process is: the water flow rate during the discharge process is recorded as , extract the unit turbidity deviation corresponding to the required slowing water flow rate from the database and record it as , set the water flow rate during discharge , ,in, Indicates the turbidity deviation corresponding to the abnormal time point.

8. The intelligent monitoring method for sewage treatment based on multi-process treatment according to claim 1 is characterized by: The specific process of analyzing the sewage treatment effect index corresponding to the primary treatment stage is: E1. Obtain the grayscale value corresponding to each grayscale area from the grayscale image corresponding to the discharged water of the sedimentation tank in the primary treatment stage, and compare it with the grayscale value interval corresponding to the turbid water stored in the database. If the grayscale value corresponding to a grayscale area is within the grayscale value interval corresponding to the turbid water, then the grayscale area is recorded as the turbid water area. Count the number of turbid water areas corresponding to the discharged water of the sedimentation tank in the primary treatment stage and record it as ; E2. Calculate the sewage treatment effect index corresponding to the primary treatment stage , ,in, Indicates the number of turbid water areas for the set reference.

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