Integrated management method for sewage treatment

Abstract

The invention discloses a sewage treatment comprehensive management method, and relates to the technical field of sewage treatment.The method comprises the steps that according to a sewage input port, the sewage flow velocity of a plurality of position points at the same depth in the transverse direction of to-be-treated sewage is detected; performing statistics on historical distribution uniformity degree values of sewage parameter distribution conditions in different position areas, and drawing a correlation change characteristic curve between the historical distribution uniformity degree values and historical to-be-measured flow velocities so as to perform area division on the to-be-treated sewage; the method comprises the following steps: detecting the flow velocity of sewage belonging to a plurality of position points in the same longitudinal horizontal direction in each sewage area in the obtained pre-treatment division areas so as to carry out layered treatment on deep-layer sewage in the pre-treatment division areas under stable and non-stable trend conditions; and setting corresponding sewage purification parameters for sewage treatment. The sewage treatment integrated management method provided by the invention can improve the sewage treatment efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of sewage treatment, and in particular to a comprehensive sewage treatment management method. Background Art

[0002] As the global population continues to grow, water demand increases while available water resources decrease. Therefore, wastewater treatment and recycling have become important ways to address water shortages.

[0003] In traditional technology, sewage treatment often adopts the method of collecting sewage input from multiple parties for direct overall sewage purification. Due to the collection of a large amount of sewage, the various index parameters contained in sewage in different locations are uneven. When setting unified purification treatment parameters, there is a high possibility of incomplete purification or readjustment of purification parameters, which leads to low overall efficiency of the final sewage treatment. Summary of the Invention

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present application provides a real-time video interaction control method based on big data.

[0005] This application provides a comprehensive sewage treatment management method, which includes: Step S1: Obtaining the sewage to be treated and the sewage inlet, detecting the sewage flow rate at several locations at the same depth in the horizontal direction of the sewage to be treated based on the sewage inlet, obtaining a current flow rate to be measured, obtaining historical sewage treatment data, and calculating historical distribution uniformity values ​​of sewage parameter distribution in different location areas based on the historical sewage treatment data; Step S2, drawing a correlation change characteristic curve between the historical distribution uniformity value and the historical flow rate to be measured in the historical sewage treatment data, and dividing the sewage to be treated into regions based on the correlation change characteristic curve and the current flow rate to be measured to obtain pretreatment division regions; Step S3, detect the sewage flow rate of several position points at the same vertical level in each sewage area in the pretreatment divided area, obtain the current flow rate 2 to be measured, and according to whether the flow rate slowdown trend of the current flow rate 2 to be measured is a stable trend, perform stratified treatment of deep layer sewage in the pretreatment divided area under stable trend conditions and unstable trend conditions, obtain stable sewage stratification results and unstable sewage stratification results, detect various sewage indexes based on the stable sewage stratification results and unstable sewage stratification results, set corresponding sewage purification parameters to perform sewage treatment, and obtain sewage treatment results.

[0006] Preferably, the sewage to be treated that needs to be purified and the sewage inlet where the sewage is collected are obtained, and based on the location of the sewage inlet, the sewage flow rate at several locations at the same depth in the horizontal direction of the sewage to be treated is detected to obtain the current flow rate to be measured. Historical sewage treatment data is obtained, and flow rates of sewage in different locations are extracted from the historical sewage treatment data to obtain historical flow rates to be measured.

[0007] Preferably, the distribution of various sewage indices in different locations of the historical flow rate to be measured is extracted from the historical sewage treatment data to obtain the distribution characteristics of the historical indices; Calculating the difference between the maximum index and the minimum index of each index in the historical index distribution characteristics to obtain the historical index difference; The historical index difference values ​​to be measured are averaged to obtain the historical average index distribution characteristic value. The historical distribution uniformity value of the sewage parameter distribution in different location areas is evaluated based on the percentage conversion value obtained after percentage conversion of the historical average index distribution characteristic value. The larger the percentage conversion value, the smaller the historical distribution uniformity value.

[0008] Preferably, a correlation change characteristic curve between the historical distribution uniformity value and the historical flow velocity to be measured is drawn according to the historical distribution uniformity value and the historical flow velocity to be measured; A uniformity division threshold is preset, and based on the uniformity division threshold, a flow rate distinction interval value is extracted from the associated change characteristic curve. The flow rate distinction interval value is used to divide the sewage to be treated into sewage areas. The sewage in different areas belongs to different flow rate distinction interval values, and the sewage sedimentation rate caused by the flow velocity is different.

[0009] Preferably, the current flow rate to be measured is matched and divided with the flow rate distinction interval value to obtain a flow rate distinction matching result; According to the flow rate differentiation matching result, the sewage to be treated is divided into sewage areas to which the current flow rate to be measured belongs within the same flow rate differentiation interval value in the flow rate differentiation matching result to obtain pre-treatment divided areas.

[0010] Preferably, the sewage flow rate of a plurality of position points at the same level in the longitudinal direction is detected for each sewage area in the pre-treatment divided area to obtain the second current flow rate to be measured; If the flow velocity at the low end point does not exist in the second current flow velocity to be measured, the flow velocity slowing trend of the second current flow velocity to be measured is statistically analyzed to obtain a longitudinal flow velocity variation characteristic; When the longitudinal flow velocity variation characteristics show a stable trend, the current flow velocity to be measured is divided into fast flow velocity, medium flow velocity and low flow velocity, so as to perform stratified treatment of the three depth layers of sewage in the pretreatment divided area accordingly to obtain a stable sewage stratification result.

[0011] Preferably, if the flow velocity at the low end point in the second flow velocity to be measured is static, and the longitudinal flow velocity variation characteristic is detected to be unstable, the pretreatment area is divided into two depth layers of unstable and static sewage to obtain the unstable sewage stratification result; Performing sewage index detection on each stratified sewage layer in the stable sewage stratification result or the unstable sewage stratification result to obtain pre-treated sewage characteristic data; According to the pre-treated sewage characteristic data, corresponding sewage purification parameters are set to perform sewage treatment to obtain sewage treatment results.

[0012] Compared with the prior art, the present invention has the following characteristics and beneficial effects: Through preliminary detection of the sewage flow rate of several points at the same horizontal depth of the sewage inlet location point for the collected sewage to be treated, it is convenient to preliminarily divide the sewage into different location areas according to the current flow rate to be tested, taking into account the different sewage sedimentation rates caused by sewage flow rates within different fluctuation ranges. For example, the faster the flow rate, the longer the sewage sedimentation time is, and the more uniform the distribution of various sewage indexes is at this time, which is conducive to unified sewage purification parameter regulation; the slower the flow rate, the shorter the sewage sedimentation time is, and the more significant the distribution difference of various sewage indexes is at this time, which is not conducive to unified sewage purification parameter regulation. Differential treatment is required, such as sewage area division, to achieve targeted differentiated sewage purification parameter regulation of sewage in different areas, and the conditions for sewage division in different areas are based on historical data. The historical sewage treatment data are statistically characterized, such as the correlation change characteristic curve between the uniformity value of the sewage index distribution in different locations in the historical period and the historical measured flow rate, so as to extract the flow rate distinction interval value. In order to further improve the efficiency of the sewage treatment results, the sewage flow rate of several position points at the same level in the vertical direction of the final pre-treatment division area is detected, and the flow rate slowdown trend stability of the current measured flow rate obtained by the detection is determined, so as to carry out stratified treatment of deep layer sewage in the pre-treatment division area under stable trend and unstable trend conditions, and carry out various index detection on the sewage after vertical stratification, and set the corresponding sewage purification parameters to realize sewage purification. Through the above-mentioned treatment method, the efficiency of sewage treatment work can be improved, the waste of resources can be reduced, and the utilization rate of resources can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1This is a flowchart of the steps of a comprehensive sewage treatment management method mainly embodied in this embodiment. DETAILED DESCRIPTION

[0014] The present invention is further described in detail below with reference to the following examples.

[0015] Reference Figure 1 , a comprehensive sewage treatment management method, the method comprising the following steps: Step S1, obtain the sewage to be treated and the sewage inlet, and according to the sewage inlet, detect the sewage flow rate at several positions at the same depth horizontally for the sewage to be treated, and obtain the current flow rate to be measured, obtain historical sewage treatment data, and based on the historical sewage treatment data, calculate the historical distribution uniformity value of the sewage parameter distribution in different location areas.

[0016] Step S2, draw a correlation change characteristic curve between the historical distribution uniformity value and the historical measured flow rate in the historical sewage treatment data, and divide the sewage to be treated into regions according to the correlation change characteristic curve and the current measured flow rate to obtain the pretreatment division area.

[0017] Step S3, detect the sewage flow rate of several position points at the same vertical level in each sewage area in the pretreatment division area, and obtain the current flow rate 2 to be measured. According to whether the flow rate slowdown trend of the current flow rate 2 to be measured is a stable trend, the pretreatment division area is subjected to stratified treatment of deep layer sewage under stable trend conditions and unstable trend conditions to obtain stable sewage stratification results and unstable sewage stratification results. According to the detection of various sewage indexes of the stable sewage stratification results and the unstable sewage stratification results, the corresponding sewage purification parameters are set to perform sewage treatment and obtain sewage treatment results.

[0018] Specifically, the collected sewage to be treated is preliminarily tested for the sewage flow rate at several locations at the same horizontal depth based on the sewage inlet location, so as to facilitate the preliminary subsequent division of sewage into different location areas based on the detected current flow rate to be measured, taking into account the different sewage sedimentation rates caused by sewage flow rates within different variation ranges. For example, the faster the flow rate, the longer the sewage sedimentation time is, and the more uniform the distribution of various sewage indexes is at this time, which is conducive to unified sewage purification parameter regulation; the slower the flow rate, the shorter the sewage sedimentation time is, and the more significant the distribution difference of various sewage indexes is at this time, which is not conducive to unified sewage purification parameter regulation, and differentiated treatment is required, such as sewage area division, to achieve targeted differentiated sewage purification parameter regulation of sewage in different areas, and the conditions for sewage division in different areas are based on According to the historical sewage treatment data, characteristic statistics are performed, such as the correlation change characteristic curve between the uniformity value of the distribution of various sewage indexes in different locations in the historical period and the historical measured flow rate, so as to extract the flow rate distinction interval value. In order to further improve the efficiency of the sewage treatment results, the sewage flow rate of several position points at the same vertical level in the final divided pre-treatment area is detected, and the flow rate slowdown trend stability of the current measured flow rate obtained by the detection is determined. The pre-treatment area is subjected to stratified treatment of deep layer sewage under stable trend conditions and unstable trend conditions, and the sewage after vertical stratification is tested for various indexes, and the corresponding sewage purification parameters are set to achieve sewage purification. Through the above-mentioned treatment method, the efficiency of sewage treatment work is improved, the waste of resources is reduced, and the utilization rate of resources is improved.

[0019] The specific step S1 includes the following sub-steps: Obtain the untreated sewage that needs to be purified and the sewage inlet where the sewage is collected. According to the location of the sewage inlet, detect the sewage flow rate at several locations at the same depth horizontally for the untreated sewage to obtain the current measured flow rate one.

[0020] Obtain historical sewage treatment data, extract the flow rate of sewage in different location areas from the historical sewage treatment data, and obtain the historical flow rate to be measured.

[0021] The distribution of various sewage indexes in different locations of the historical flow rate to be measured is extracted from the historical sewage treatment data to obtain the distribution characteristics of various historical indexes.

[0022] The difference between the maximum index and the minimum index of each index in the historical index distribution characteristics is calculated to obtain the historical index difference to be tested.

[0023] The historical index difference values ​​to be tested are averaged to obtain the historical average index distribution characteristic value. The historical distribution uniformity value of the sewage parameter distribution in different location areas is evaluated by obtaining the percentage conversion value after percentage conversion based on the historical average index distribution characteristic value. The larger the percentage conversion value, the smaller the historical distribution uniformity value.

[0024] Specifically, such as the current flow rate to be measured (such as taking the sewage inlet as the origin (0,0), constructing the x, z axis with the origin, and several position points at the same depth horizontally: that is, horizontally (in the x-axis direction, at the same depth z different horizontal positions, select several position points (xn, zn) for sewage flow rate detection), flow rate detection: The ultrasonic flow monitor in the existing technology can be used for detection: the flow rate is calculated by using the change in speed in the downstream and upstream directions when the ultrasonic wave propagates in the fluid. By measuring the time difference of the ultrasonic wave propagating back and forth in the fluid, the flow rate of the fluid can be obtained. If the current flow rate to be measured includes: V1, V2, V3, Vn), by The detection is carried out. Because different flow rates have different effects on the sedimentation rate of sewage, in order to improve the efficiency of sewage treatment, the sewage to be treated is divided into sewage areas according to the sewage flow rates detected in different locations, so as to reduce the probability of incomplete treatment caused by the use of unified overall sewage treatment in traditional technology. The historical flow rate to be measured (if it is Lv1, Lv2, Lv3, Lvn), the historical distribution characteristics of various indexes (such as the various indexes in different location areas (this different location area refers to the different location areas corresponding to the historical flow rate to be measured), the detection of various sewage indexes can be carried out using the equipment in the existing technology, such as the conventional five-parameter Digital detector: Test items: pH value, conductivity, dissolved oxygen, temperature, turbidity and other parameters. If the dissolved oxygen index of sewage in area q1 is a1, the pH value is b1, and the conductivity is c1, etc., if the dissolved oxygen index of sewage in q2 is a2, the pH value is b2, and the conductivity is c2, the dissolved oxygen index of sewage in q3 is a3, the pH value is b3, and the conductivity is c3, where q1, q2, and q3 are sub-areas in one of the different location areas, and the same or different conditions of the sewage indexes in these sub-areas are the historical distribution characteristics of the indexes), the historical index difference to be tested (if the a-type index in q1, q2, and q3: a1 is the maximum value, a3 is the minimum value, then if a1-a3 is C1, similarly, if the b-type index in q1, q2, q3: b1 is the maximum value and b2 is the minimum value, then if b1-b2 is C2, if the c-type index in q1, q2, q3: c1 is the maximum value and c2 is the minimum value, then if c1-c2 is C3, C1, C2, C3 are the historical index differences to be tested), historical average index distribution characteristic value (that is, (C1+C2+C3) / 3 is Z, Z is a value less than 1), historical distribution uniformity value (if Z is 0.8, that is, converted to 80%, then the corresponding distribution uniformity value is 20%, if the historical distribution uniformity value includes J1, J2, J3, Jn).

[0025] The specific step S2 includes the following sub-steps: According to the historical distribution uniformity values ​​and the historical flow velocities to be measured, a correlation change characteristic curve between the historical distribution uniformity values ​​and the historical flow velocities to be measured is drawn.

[0026] A uniformity division threshold is preset, and based on the uniformity division threshold, a flow rate distinction interval value is extracted from the associated change characteristic curve. The flow rate distinction interval value is used to divide the sewage to be treated into sewage areas. The sewage in different areas belongs to different flow rate distinction interval values, and the sewage sedimentation rate caused by the flow velocity is different.

[0027] The current flow rate to be measured is matched and divided with the flow rate distinction interval value to obtain a flow rate distinction matching result.

[0028] According to the flow rate differentiation matching result, the sewage to be treated is divided into sewage areas to which the current flow rate to be measured belongs within the same flow rate differentiation interval value in the flow rate differentiation matching result to obtain a pre-treatment division area.

[0029] Specifically, such as the associated change characteristic curve (such as taking the historical flow rate to be measured (Lv1, Lv2, Lv3, Lvn) as the x-axis and the historical distribution uniformity value (J1, J2, J3, Jn) as the y-axis to draw the associated change characteristic curve between J and Lv), the preset uniformity division threshold (can be set by yourself, such as setting the maximum change amplitude threshold to m, that is, when the uniformity change amplitude threshold exceeds m, it can be regarded as the sewage sedimentation rate begins to be significantly affected by the significant change amplitude of the flow rate. If the uniformity change amplitude threshold does not exceed m, it can be regarded as the sewage sedimentation rate is relatively consistent. At this time, the flow rate is also changing, but the corresponding sewage sedimentation rate changes less. Subsequently, the historical flow rate to be measured is divided into change amplitudes according to the uniformity division threshold), the flow rate distinction interval value (for example, in the respective Lv1 and Lv2 If the historical distribution uniformity value of Lv3 is Z1 and Z2, Z1 is greater than Z2, if Z1-Z2 is n1, if the historical distribution uniformity value of Lv3 is Z3, Z2 is greater than Z3, if Z2-Z3 is n2, if n2 is greater than or equal to m, then (Lv1, Lv2) is an interval value in the flow velocity distinction interval value, and so on), the flow velocity distinction matching result (that is, the current flow velocity to be measured (V1, V2, V3, Vn) is matched with each interval value in the flow velocity distinction interval value. For example, if only V1 is within the maximum interval value in the flow velocity distinction interval value, the position area to which V1 belongs is divided separately. If V1 and V2 are within the maximum interval value in the flow velocity distinction interval value, the position area to which V1 and V2 belong is divided into a separate area. And so on, if the preprocessing division area includes Q1, Q2, Q3, Qn).

[0030] The specific step S3 includes the following sub-steps: The sewage flow rate of several position points at the same vertical level in each sewage area in the pre-treatment divided area is detected to obtain the current flow rate to be measured.

[0031] If the flow velocity at the low end position point does not exist in the current second flow velocity to be measured and is static, the flow velocity slowdown trend of the current second flow velocity to be measured is statistically analyzed to obtain the longitudinal flow velocity variation characteristics.

[0032] When the longitudinal flow velocity variation characteristics show a stable trend, the current flow velocity to be measured is divided into fast flow velocity, medium flow velocity and low flow velocity, so as to carry out stratified treatment of the three depth layers of sewage in the pretreatment divided area accordingly to obtain stable sewage stratification results.

[0033] If the flow velocity at the low end point in the current measured flow velocity is static, and the longitudinal flow velocity change characteristics are detected to be unstable, the pretreatment area will be divided into two depth layers of unstable and static sewage for stratified treatment to obtain the unstable sewage stratification results.

[0034] Various sewage index tests are performed on each stratified sewage layer in the stable sewage stratification results or the unstable sewage stratification results to obtain pre-treated sewage characteristic data.

[0035] According to the pre-treated sewage characteristic data, the corresponding sewage purification parameters are set to treat the sewage and obtain the sewage treatment results.

[0036] Specifically, such as the current flow rate to be measured 2 (such as taking the sewage inlet as the origin (0,0), constructing the z-axis with the origin, and several position points at the same level in the longitudinal direction: that is, in the longitudinal direction (in the z-axis direction, at the same horizontal position but different depths z, select several position points (x, zn) for sewage flow rate detection, which means that all areas in the pretreatment division area are processed. It should be noted that the x in the several position points (x, zn) selected for each area in the pretreatment division area is different, but all are selected from the horizontal x-axis), longitudinal flow rate change characteristics (referring to the sewage flow rate change trend at different depths z, if it includes v1, v2, v3, vn, in descending order), stable sewage stratification results (such as v1 If the amplitude of the drop to v2 is f1, if the amplitude of v2 dropping to v3 is f2, if the amplitude of v3 dropping to v4 is f3, and if the ratio between f1 and f2 is proportional to the ratio between f2 and f3, then it is determined that the longitudinal velocity variation characteristics are showing a stable trend, and the pretreatment area can be divided into layers for treatment. At this time, the degree of sewage sedimentation at different depths in the pretreatment area is different, and the corresponding indexes also change. Through layered treatment, sewage purification treatment is carried out based on partial sedimentation, and the purification parameters required for sewage at different depths are also different, thereby reducing the amount of sewage treated. Different from the traditional overall sewage treatment method, it can reduce the incompleteness of sewage treatment to improve overall efficiency. Here The critical values ​​for dividing fast flow rate, medium flow rate and low flow rate can be set by yourself, then the sewage in the depth layer with fast flow rate is divided into a type of sewage layer for subsequent comprehensive treatment, and so on), unstable sewage stratification results (such as the flow rate value of vn, vn-1, vn-2 in v1, v2, v3, vn is zero, then the flow rate change amplitude of v1, v2, v3, vn-3 is unstable (different from the stable trend mentioned above), then the sewage in the depth layer to which v1, v2, v3, vn-3 is divided into a type of sewage layer for subsequent comprehensive treatment, and the sewage in the depth layer to which vn, vn-1, vn-2 is divided into a type of sewage layer for subsequent comprehensive treatment), sewage treatment results (by analyzing the stable sewage stratification results or unstable Based on the characteristic data of pre-treated wastewater after each stratification in the determined wastewater stratification results, such as pH value, dissolved oxygen, phosphorus content, etc., the corresponding purification parameters for pH value, dissolved oxygen, phosphorus content, etc. are set according to the corresponding indices. For example, pH value adjustment: for acidic wastewater, alkaline substances such as lime (calcium hydroxide), caustic soda (sodium hydroxide), and soda ash (sodium carbonate) can be added to increase the pH value; for alkaline wastewater, acidic substances such as sulfuric acid, hydrochloric acid, and nitric acid can be added to lower the pH value. Assuming that the pH value of acidic wastewater is 3, it needs to be adjusted to about pH 7. If sodium hydroxide is used for neutralization, approximately 1 liter of 0.1 mol / L sodium hydroxide solution needs to be added for each pH unit increase.If the volume of sewage is 10 cubic meters, then approximately 100 liters of 0.1 mol / L sodium hydroxide solution needs to be added, and sufficient stirring is required to ensure complete reaction).

[0037] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A comprehensive sewage treatment management method, characterized in that: The following steps are involved: Step S1: Obtaining the sewage to be treated and the sewage inlet, detecting the sewage flow rate at several locations at the same depth in the horizontal direction of the sewage to be treated based on the sewage inlet, obtaining a current flow rate to be measured, obtaining historical sewage treatment data, and calculating historical distribution uniformity values ​​of sewage parameter distribution in different location areas based on the historical sewage treatment data; Step S2, drawing a correlation change characteristic curve between the historical distribution uniformity value and the historical flow rate to be measured in the historical sewage treatment data, and dividing the sewage to be treated into regions based on the correlation change characteristic curve and the current flow rate to be measured to obtain pretreatment division regions; Step S3, detect the sewage flow rate of several position points at the same vertical level in each sewage area in the pretreatment divided area, obtain the current flow rate 2 to be measured, and according to whether the flow rate slowdown trend of the current flow rate 2 to be measured is a stable trend, perform stratified treatment of deep layer sewage in the pretreatment divided area under stable trend conditions and unstable trend conditions, obtain stable sewage stratification results and unstable sewage stratification results, detect various sewage indexes based on the stable sewage stratification results and unstable sewage stratification results, set corresponding sewage purification parameters to perform sewage treatment, and obtain sewage treatment results.

2. A comprehensive sewage treatment management method according to claim 1, characterized in that: Step S1 includes: Obtaining the untreated sewage that needs to be purified and the sewage inlet where the sewage is collected, and detecting the sewage flow rate at several locations at the same depth for the untreated sewage according to the location of the sewage inlet, to obtain a current flow rate to be measured; Historical sewage treatment data is obtained, and flow rates of sewage in different locations are extracted from the historical sewage treatment data to obtain historical flow rates to be measured.

3. A comprehensive sewage treatment management method according to claim 2, characterized in that: Step S1 further includes: Extract the distribution of various sewage indexes in different locations of the historical flow rate to be measured from the historical sewage treatment data, and obtain the distribution characteristics of various historical indexes; Calculating the difference between the maximum index and the minimum index of each index in the historical index distribution characteristics to obtain the historical index difference; The historical index difference values ​​to be measured are averaged to obtain the historical average index distribution characteristic value. The historical distribution uniformity value of the sewage parameter distribution in different location areas is evaluated based on the percentage conversion value obtained after percentage conversion of the historical average index distribution characteristic value. The larger the percentage conversion value, the smaller the historical distribution uniformity value.

4. A comprehensive sewage treatment management method according to claim 3, characterized in that: Step S2 includes: Drawing a correlation change characteristic curve between the historical distribution uniformity value and the historical flow velocity to be measured according to the historical distribution uniformity value and the historical flow velocity to be measured; A uniformity division threshold is preset, and based on the uniformity division threshold, a flow rate distinction interval value is extracted from the associated change characteristic curve. The flow rate distinction interval value is used to divide the sewage to be treated into sewage areas. The sewage in different areas belongs to different flow rate distinction interval values, and the sewage sedimentation rate caused by the flow velocity is different.

5. A comprehensive sewage treatment management method according to claim 4, characterized in that: Step S2 further includes: Matching and dividing the current flow rate to be measured with the flow rate distinction interval value to obtain a flow rate distinction matching result; According to the flow rate differentiation matching result, the sewage to be treated is divided into sewage areas to which the current flow rate to be measured belongs within the same flow rate differentiation interval value in the flow rate differentiation matching result to obtain pre-treatment divided areas.

6. A comprehensive sewage treatment management method according to claim 5, characterized in that: Step S3 includes: Detecting the sewage flow rate at a plurality of locations at the same level in the longitudinal direction of each sewage area in the pre-treatment divided area to obtain a second current flow rate to be measured; If the flow velocity at the low end point does not exist in the second current flow velocity to be measured, the flow velocity slowing trend of the second current flow velocity to be measured is statistically analyzed to obtain a longitudinal flow velocity variation characteristic; When the longitudinal flow velocity variation characteristics show a stable trend, the current flow velocity to be measured is divided into fast flow velocity, medium flow velocity and low flow velocity, so as to perform stratified treatment of the three depth layers of sewage in the pretreatment divided area accordingly to obtain a stable sewage stratification result.

7. A comprehensive sewage treatment management method according to claim 6, characterized in that: Step S3 further includes: If the velocity at the low end of the second flow velocity to be measured is static, and the longitudinal velocity variation characteristic is detected to be unstable, the pretreatment area is divided into two depth layers of unstable and static sewage to obtain the unstable sewage stratification result; Performing sewage index detection on each stratified sewage layer in the stable sewage stratification result or the unstable sewage stratification result to obtain pre-treated sewage characteristic data; According to the pre-treated sewage characteristic data, corresponding sewage purification parameters are set to perform sewage treatment to obtain sewage treatment results.

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