A sewage treatment integrated management method

Abstract

The application discloses a sewage treatment comprehensive management method, and relates to the technical field of sewage treatment. The method comprises the following steps: detecting the sewage flow rate of a plurality of position points of the same depth in the transverse direction of sewage to be treated according to a sewage input port; according to historical sewage treatment data, counting the historical distribution uniformity value of the sewage parameter distribution in different position regions; drawing a correlation change characteristic curve between the historical distribution uniformity value and the historical to-be-measured flow rate, so as to divide the regions of the sewage to be treated; detecting the sewage flow rate of a plurality of position points of the same level in the longitudinal direction of each sewage region in the obtained pretreatment division region, so as to perform the layered treatment of the depth layer sewage in the pretreatment division region under the stable and unstable trend conditions; and setting corresponding sewage purification parameters according to the index detection of the layered sewage, so as to perform the sewage treatment. The sewage treatment comprehensive management method can improve the sewage treatment efficiency.

Description

Technical Field

[0001] This application relates to the field of wastewater treatment technology, and in particular to a comprehensive wastewater treatment management method. Background Technology

[0002] With the global population continuing to grow, the demand for water resources is increasing, while available water resources are dwindling. Therefore, wastewater treatment and recycling have become important ways to address water scarcity.

[0003] In traditional technologies, wastewater treatment often involves collecting wastewater from multiple sources and directly purifying the entire wastewater system. Due to the large volume of wastewater collected, the parameters of various indicators in wastewater from different areas are uneven. When setting uniform purification parameters, there is a high probability of incomplete purification or the need to readjust purification parameters, resulting in low overall efficiency of wastewater treatment. Summary of the Invention

[0004] To overcome the shortcomings of the prior art, this application provides a real-time video interactive control method based on big data.

[0005] This application provides a comprehensive wastewater treatment management method, the method comprising:

[0006] Step S1: Obtain the wastewater to be treated and the wastewater inlet. Based on the wastewater inlet, detect the wastewater flow velocity at several points at the same horizontal depth to obtain the current flow velocity to be measured. Obtain historical wastewater treatment data. Based on the historical wastewater treatment data, calculate the historical distribution uniformity value of wastewater parameters in different location areas.

[0007] Step S2: Plot the correlation curve between the historical distribution uniformity value and the historical flow velocity to be measured in the historical sewage treatment data. Based on the correlation curve and the current flow velocity to be measured, divide the sewage to be treated into regions to obtain the pretreatment division region.

[0008] Step S3: Detect the flow velocity of wastewater at several points at the same horizontal level in each wastewater area of ​​the pretreatment division area to obtain the current flow velocity to be measured. Based on whether the flow velocity reduction trend of the current flow velocity to be measured is stable, perform stratification treatment of deep layer wastewater in the pretreatment division area under stable and unstable trends to obtain stable wastewater stratification results and unstable wastewater stratification results. Based on the detection of various wastewater indices in the stable and unstable wastewater stratification results, set corresponding wastewater purification parameters for wastewater treatment to obtain wastewater treatment results.

[0009] Preferably, the wastewater to be treated and the wastewater inlet where the wastewater is collected are obtained. Based on the location of the wastewater inlet, the wastewater flow velocity at several locations at the same horizontal depth is detected to obtain the current flow velocity to be measured.

[0010] Historical wastewater treatment data is obtained, and the flow velocity of wastewater in different locations is extracted from the historical wastewater treatment data to obtain the historical flow velocity to be measured.

[0011] Preferably, the distribution of various indices of wastewater in different location areas of the historical flow velocity to be measured is extracted from historical wastewater treatment data to obtain the distribution characteristics of various historical indices;

[0012] The difference between the maximum and minimum indices of each historical index distribution characteristic is obtained by subtracting the historical index difference.

[0013] The historical differences in the measured indices are averaged to obtain the historical average index distribution characteristic value. Based on the percentage conversion of the historical average index distribution characteristic value, the historical distribution uniformity of the sewage parameters in different locations is evaluated. The larger the percentage conversion value, the smaller the historical distribution uniformity value.

[0014] Preferably, based on the historical distribution uniformity value and the historical measured flow velocity, a correlation curve between the historical distribution uniformity value and the historical measured flow velocity is plotted.

[0015] A preset uniformity threshold is set, and flow velocity differentiation intervals are extracted from the associated variation characteristic curves based on the uniformity threshold. The flow velocity differentiation intervals are used to divide the wastewater to be treated into wastewater regions. The flow velocity in different regions affects the sedimentation rate of the wastewater in different flow velocity differentiation intervals.

[0016] Preferably, the current flow velocity to be measured is matched and divided with the flow velocity discrimination interval value to obtain the flow velocity discrimination matching result;

[0017] Based on the velocity differentiation and matching results, the wastewater region to which the current measured velocity belongs is divided within the same velocity differentiation interval value in the velocity differentiation and matching results of the wastewater to be treated, and the pretreatment division region is obtained.

[0018] Preferably, the wastewater flow velocity at several points at the same horizontal position in the longitudinal direction is detected in each wastewater area of ​​the pretreatment division area to obtain the current flow velocity to be measured.

[0019] If there is no low-end position point where the flow velocity in the current measured flow velocity two is stationary, then the flow velocity slowing trend of the current measured flow velocity two is statistically analyzed to obtain the longitudinal flow velocity variation characteristics.

[0020] 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 three-level stratified treatment of sewage in the pretreatment division area accordingly, and obtain stable sewage stratification results.

[0021] Preferably, if there is a stationary flow velocity at a low position point in the current flow velocity test 2, and the longitudinal flow velocity variation characteristics are detected to be unstable, then the pretreatment division area is subjected to stratified treatment of two depth layers of sewage, namely unstable and stationary, to obtain the stratified result of unstable sewage.

[0022] The wastewater indices of each stratified wastewater layer in the stable or unstable wastewater stratification results are detected to obtain pretreated wastewater characteristic data.

[0023] Based on the pretreated wastewater characteristic data, corresponding wastewater purification parameters are set for wastewater treatment to obtain wastewater treatment results.

[0024] Compared with the prior art, the present invention has the following characteristics and beneficial effects:

[0025] Preliminary analysis of the collected wastewater to be treated involves detecting the wastewater flow velocity at several points at the same horizontal depth from the wastewater inlet. This allows for initial segmentation of wastewater into different areas based on the detected flow velocity. Considering the varying sedimentation rates resulting from different flow velocities (faster flow velocities lead to longer sedimentation times and more uniform distribution of wastewater indices, facilitating unified control of wastewater purification parameters), and conversely, slower flow velocities result in shorter sedimentation times but more significant differences in indices, hindering standardized control, differentiated treatment is needed. This could involve dividing the wastewater into zones to allow for targeted control of purification parameters in different areas. The conditions for dividing wastewater into different zones are based on historical data. Historical wastewater treatment data is statistically analyzed, such as the correlation curves between the uniformity of various indices of wastewater in different locations and regions during historical periods and the historical measured flow velocities, to extract flow velocity differentiation intervals. To further improve the efficiency of wastewater treatment results, the wastewater flow velocities at several points at the same horizontal level in the final pretreatment area are detected. Based on the current measured flow velocity and its stabilization trend, the pretreatment area is stratified into deep layers for both stable and unstable trends. The vertically stratified wastewater is then subjected to various index detections, and corresponding wastewater purification parameters are set to achieve wastewater purification. Through the above treatment methods, the efficiency of wastewater treatment is improved, resource waste is reduced, and resource utilization is increased. Attached Figure Description

[0026] Figure 1 This is a flowchart illustrating the steps of a comprehensive wastewater treatment management method, which is the main feature of this embodiment. Detailed Implementation

[0027] The present invention will be further described in detail below with reference to the following embodiments.

[0028] Reference Figure 1 A comprehensive wastewater treatment management method, comprising the following steps:

[0029] Step S1: Obtain the wastewater to be treated and the wastewater inlet. Based on the wastewater inlet, detect the wastewater flow velocity at several points at the same horizontal depth to obtain the current flow velocity. Obtain historical wastewater treatment data. Based on the historical wastewater treatment data, calculate the historical distribution uniformity of wastewater parameters in different location areas.

[0030] Step S2: Plot the correlation curve between the historical distribution uniformity value and the historical flow velocity to be measured in the historical sewage treatment data. Based on the correlation curve and the current flow velocity to be measured, divide the sewage to be treated into regions to obtain the pretreatment division region.

[0031] Step S3: Detect the flow velocity of wastewater at several points at the same horizontal level in each wastewater area of ​​the pretreatment zone to obtain the current flow velocity to be measured. Based on whether the flow velocity reduction trend of the current flow velocity to be measured is stable, perform stratified treatment of deep layer wastewater in the pretreatment zone under stable and unstable trends to obtain stable wastewater stratification results and unstable wastewater stratification results. Based on the detection of various wastewater indices in the stable and unstable wastewater stratification results, set the corresponding wastewater purification parameters for wastewater treatment to obtain the wastewater treatment results.

[0032] Specifically, preliminary detection of the wastewater flow velocity at several points at the same horizontal depth from the wastewater inlet is conducted to facilitate initial classification of wastewater into different areas based on the detected flow velocity. Considering the varying sedimentation rates resulting from different flow velocities (faster flow velocities lead to longer sedimentation times and more uniform distribution of wastewater indices, facilitating unified wastewater purification parameter control), and the need for differentiated treatment (e.g., wastewater zone classification) is required to achieve targeted wastewater purification parameter control within different zones. The conditions for classifying wastewater into different zones are determined based on… Based on historical wastewater treatment data, characteristic statistics are performed, such as the correlation curves between the uniformity of various indices of wastewater in different locations and regions during historical periods and the historical measured flow velocities, to extract flow velocity differentiation intervals. To further improve the efficiency of wastewater treatment results, the wastewater flow velocities at several points at the same horizontal level in the final pretreatment area are detected. Based on the current measured flow velocity and its stabilization trend, the pretreatment area is stratified into deep-layer wastewater under stable and unstable trends. Various indices are then detected in the vertically stratified wastewater, and corresponding wastewater purification parameters are set to achieve wastewater purification. Through the above treatment methods, the efficiency of wastewater treatment is improved, resource waste is reduced, and resource utilization is increased.

[0033] The specific step S1 includes the following sub-steps:

[0034] The wastewater to be treated and the wastewater inlet where the wastewater is collected are obtained. Based on the location of the wastewater inlet, the flow velocity of the wastewater at several locations at the same horizontal depth is detected to obtain the current flow velocity to be measured.

[0035] Historical wastewater treatment data is obtained, and the flow velocity of wastewater in different locations is extracted from the historical wastewater treatment data to obtain the historical flow velocity to be measured.

[0036] The distribution of various indices of wastewater in different location areas of the historical flow velocity to be measured is extracted from historical wastewater treatment data to obtain the distribution characteristics of various historical indices.

[0037] The difference between the maximum and minimum indices of each historical index is obtained by calculating the difference between the historical indices to be measured.

[0038] The average difference of historical test indices is calculated to obtain the historical average index distribution characteristic value. The percentage conversion value obtained by converting the historical average index distribution characteristic value to a percentage value is used to evaluate the historical distribution uniformity of sewage parameters in different locations. The larger the percentage conversion value, the smaller the historical distribution uniformity value.

[0039] Specifically, for the current flow velocity to be measured (e.g., taking the sewage inlet as the origin (0,0), constructing x and z axes from the origin, and several points at the same horizontal depth: i.e., horizontally (selecting several points (xn, zn) at different horizontal positions at the same depth z along the x-axis for sewage flow velocity detection), the flow velocity can be detected using an ultrasonic flow meter in existing technology: the flow velocity is calculated by utilizing the velocity change of ultrasonic waves in the downstream and upstream directions when they propagate in the fluid. By measuring the time difference of the ultrasonic waves' round-trip propagation in the fluid, the fluid velocity can be obtained. If the current flow velocity to be measured includes: V1, V2, V3, Vn), the flow velocity can be measured by... Because different flow velocities have varying degrees of impact on wastewater sedimentation rates, to improve the efficiency of wastewater treatment, the wastewater to be treated is divided into zones based on the wastewater flow velocities detected in different locations. This reduces the likelihood of incomplete treatment caused by the uniform overall wastewater treatment approach used in traditional technologies. Historical flow velocities (e.g., Lv1, Lv2, Lv3, Lvn) and the historical distribution characteristics of various indices (e.g., indices in different locations corresponding to the historical flow velocities) are analyzed. The detection of these wastewater indices can be performed using existing equipment, such as conventional five-parameter analyzers. Detection instrument: Detects parameters such as pH value, conductivity, dissolved oxygen, temperature, and turbidity. For example, if the dissolved oxygen index of wastewater in region q1 is a1, pH value is b1, and conductivity is c1; if the dissolved oxygen index of wastewater in region q2 is a2, pH value is b2, and conductivity is c2; and if the dissolved oxygen index of wastewater in region q3 is a3, pH value is b3, and conductivity is c3, then q1, q2, and q3 are sub-regions within a different location region. The similarity or difference of the various indices in these sub-regions represents the historical distribution characteristics of the indices. The historical difference in the measured indices is also included (if among q1, q2, and q3, type a index has the highest value for a1 and the lowest value for a3). If a1-a3 is C1, then if b1 is the maximum value and b2 is the minimum value among b-type indices in q1, q2, and q3, then b1-b2 is C2; if c1 is the maximum value and c2 is the minimum value among c-type indices in q1, q2, and q3, then c1-c2 is C3. C1, C2, and C3 are the differences between the historical indices to be measured. The historical average index distribution characteristic value (i.e., (C1+C2+C3) / 3 is Z, where Z is a value less than 1) and the historical distribution uniformity value (if Z is 0.8, i.e. converted to 80%, then the corresponding distribution uniformity value is 20%, if the historical distribution uniformity value includes J1, J2, J3, and Jn).

[0040] The specific step S2 includes the following sub-steps:

[0041] Based on the historical distribution uniformity values ​​and the historical measured flow velocities, plot the correlation curves between the historical distribution uniformity values ​​and the historical measured flow velocities.

[0042] A preset uniformity threshold is set, and based on the uniformity threshold, the velocity differentiation interval value is extracted from the associated variation characteristic curve. The velocity differentiation interval value is used to divide the wastewater to be treated into wastewater areas. The wastewater in different areas belongs to different velocity differentiation interval values, which affect the wastewater sedimentation rate.

[0043] The current flow velocity to be measured is matched and divided with the flow velocity discrimination interval value to obtain the flow velocity discrimination matching result.

[0044] Based on the velocity discrimination matching results, the wastewater area to which the current measured velocity belongs is divided within the same velocity discrimination interval value in the velocity discrimination matching results of the wastewater to be treated, and the pretreatment division area is obtained.

[0045] Specifically, this includes features such as correlation variation characteristic curves (e.g., plotting a correlation variation characteristic curve between J and Lv using historical measured flow velocities (Lv1, Lv2, Lv3, Lvn) as the x-axis and historical distribution uniformity values ​​(J1, J2, J3, Jn) as the y-axis), preset uniformity division thresholds (which can be set manually, e.g., setting the maximum variation threshold to m; when the uniformity variation threshold exceeds m, it can be considered that the wastewater sedimentation rate begins to change significantly due to the corresponding change in flow velocity; if the uniformity variation threshold does not exceed m, it can be considered that the wastewater sedimentation rate is relatively consistent, and the flow velocity is also changing, but the corresponding wastewater sedimentation rate changes less; subsequently, the variation amplitude of historical measured flow velocities is divided according to the uniformity division threshold), and flow velocity differentiation intervals (e.g., the intervals between Lv1 and Lv2). The historical distribution uniformity values ​​of the genus are Z1 and Z2, where Z1 is greater than Z2. If Z1-Z2 is n1, and the historical distribution uniformity value of Lv3 is Z3, where Z2 is greater than Z3, and Z2-Z3 is n2, and if n2 is greater than or equal to m, then (Lv1, Lv2) is one of the interval values ​​in the velocity differentiation interval, and so on. The velocity differentiation matching result is that the current measured velocity (V1, V2, V3, Vn) is matched with each interval value in the velocity differentiation interval. For example, if only V1 is located in the maximum interval value in the velocity differentiation interval, then the location area to which V1 belongs is divided separately. If V1 and V2 are located in the maximum interval value in the velocity differentiation interval, then the location areas to which V1 and V2 belong are divided into a separate area, and so on. If the preprocessed area includes Q1, Q2, Q3, Qn.

[0046] The specific step S3 includes the following sub-steps:

[0047] The flow velocity of wastewater at several points at the same horizontal position in each wastewater area of ​​the pretreatment zone is detected to obtain the current flow velocity to be measured.

[0048] If the flow velocity at a low-end point in the current measured flow velocity 2 is stationary, then the flow velocity slowing trend of the current measured flow velocity 2 is statistically analyzed to obtain the longitudinal flow velocity variation characteristics.

[0049] 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 three-level stratified treatment of sewage in the pretreatment area accordingly, and obtain stable sewage stratification results.

[0050] If the flow velocity at a low point in the current flow velocity test zone is stationary, and the longitudinal flow velocity variation is detected to be unstable, then the pretreatment zone will be divided into two layers of wastewater: unstable and stationary, to obtain the unstable wastewater stratification result.

[0051] Various indices of the wastewater are detected in each stratified layer of the stable or unstable wastewater stratification results to obtain characteristic data of the pretreated wastewater.

[0052] Based on the pre-treated wastewater characteristic data, corresponding wastewater purification parameters are set for wastewater treatment to obtain wastewater treatment results.

[0053] Specifically, the following parameters are considered: the current flow velocity to be measured (e.g., taking the sewage inlet as the origin (0,0), constructing the z-axis with the origin, and selecting several points at the same horizontal level in the longitudinal direction (i.e., in the z-axis direction, selecting several points (x, zn) at different depths z at the same horizontal position for sewage flow velocity detection; this refers to processing each area in the pretreatment division area; it should be noted that the x values ​​in the selected points (x, zn) in each area of ​​the pretreatment division area are different, but all are selected from the horizontal x-axis), the longitudinal flow velocity variation characteristics (referring to the trend of sewage flow velocity change at different depths z; if v1, v2, v3, vn are included, they are in descending order), and the stable sewage stratification results (e.g., v1). If the rate of decrease from v2 to v3 is f1, the rate of decrease from v2 to v3 is f2, and the rate of decrease from v3 to v4 is f3, and the ratio between f1 and f2 is proportional to the ratio between f2 and f3, then the longitudinal flow velocity variation is considered to be stable. In this case, the pretreatment zones can be divided into stratified zones. The degree of sedimentation at different depths within these zones varies, resulting in changes in various indices. Stratified treatment allows for wastewater purification based on partial sedimentation, and the required purification parameters differ for different depths, thus reducing the volume of wastewater treated. This differs from traditional whole-sewage treatment methods, reducing incomplete treatment and improving overall efficiency. The critical values ​​for defining fast, medium, and low flow velocities can be set manually. Wastewater at the depth of the fast flow velocities is classified as a type of wastewater layer requiring subsequent comprehensive treatment, and so on. For unstable wastewater stratification results (e.g., if the flow velocities of vn, vn-1, and vn-2 in v1, v2, v3, and vn are zero, then the flow velocity fluctuations of v1, v2, v3, and vn-3 are unstable (distinct from the stable trend mentioned above). In this case, wastewater at the depths of v1, v2, v3, and vn-3 is classified as a type of wastewater layer requiring subsequent comprehensive treatment, and wastewater at the depths of vn, vn-1, and vn-2 is classified as a type of wastewater layer requiring subsequent comprehensive treatment), wastewater treatment results (based on stable or unstable wastewater stratification results)... Based on the pretreated wastewater characteristic data of each stratified wastewater layer in the wastewater stratification results, such as pH value, dissolved oxygen, and phosphorus content, the corresponding purification parameters for pH value, dissolved oxygen, and phosphorus content are set according to the respective indices. For example, pH 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 decrease the pH value. Assuming that the pH value of a certain acidic wastewater is 3, it needs to be adjusted to a pH value of about 7. If sodium hydroxide is used for neutralization, approximately 1 liter of 0.1 mol / L sodium hydroxide solution needs to be added for every 1 unit increase in pH.If the wastewater volume is 10 cubic meters, then approximately 100 liters of 0.1 mol / L sodium hydroxide solution needs to be added, and thorough stirring is required to ensure complete reaction.

[0054] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A comprehensive wastewater treatment management method, characterized in that, Includes the following steps: Step S1: Obtain the wastewater to be treated and the wastewater inlet. Based on the wastewater inlet, detect the wastewater flow velocity at several points at the same horizontal depth to obtain the current flow velocity to be measured. Obtain historical wastewater treatment data. Based on the historical wastewater treatment data, calculate the historical distribution uniformity value of wastewater parameters in different location areas. Step S2: Plot the correlation curve between the historical distribution uniformity value and the historical flow velocity to be measured in the historical sewage treatment data. Based on the correlation curve and the current flow velocity to be measured, divide the sewage to be treated into regions to obtain the pretreatment division region. Step S3: Detect the flow velocity of wastewater at several points at the same horizontal level in each wastewater area of ​​the pretreatment division area to obtain the current flow velocity to be measured. Based on whether the flow velocity reduction trend of the current flow velocity to be measured is stable, perform stratification treatment of deep layer wastewater in the pretreatment division area under stable and unstable trends to obtain stable wastewater stratification results and unstable wastewater stratification results. Based on the detection of various wastewater indices in the stable and unstable wastewater stratification results, set corresponding wastewater purification parameters for wastewater treatment to obtain wastewater treatment results. Step S3 includes: The flow velocity of the wastewater in each wastewater area of ​​the pretreatment division is detected at several points at the same horizontal position in the longitudinal direction to obtain the current flow velocity to be measured. If there is no low-end position point where the flow velocity in the current measured flow velocity two is stationary, then the flow velocity slowing trend of the current measured flow velocity two is statistically analyzed to obtain the longitudinal flow velocity variation characteristics. 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 three-level stratified treatment of sewage in the pretreatment division area accordingly, and obtain stable sewage stratification results. If the flow velocity at a low point in the current flow velocity test is stationary, and the longitudinal flow velocity variation is detected to be unstable, then the pretreatment area will be divided into two layers of wastewater: unstable and stationary, to obtain the unstable wastewater stratification result. The wastewater indices of each stratified wastewater layer in the stable or unstable wastewater stratification results are detected to obtain pretreated wastewater characteristic data. Based on the pretreated wastewater characteristic data, corresponding wastewater purification parameters are set for wastewater treatment to obtain wastewater treatment results.

2. The comprehensive wastewater treatment management method according to claim 1, characterized in that, Step S1 includes: The wastewater to be treated and the wastewater inlet where the wastewater is collected are obtained. Based on the location of the wastewater inlet, the wastewater flow velocity at several locations at the same horizontal depth is detected to obtain the current flow velocity to be measured. Historical wastewater treatment data is obtained, and the flow velocity of wastewater in different locations is extracted from the historical wastewater treatment data to obtain the historical flow velocity to be measured.

3. The comprehensive wastewater treatment management method according to claim 2, characterized in that, Step S1 also includes: The distribution of various indices of wastewater in different location areas of the historical flow velocity to be measured is extracted from historical wastewater treatment data to obtain the distribution characteristics of various historical indices; The difference between the maximum and minimum indices of each historical index distribution characteristic is obtained by subtracting the historical index difference. The historical differences in the measured indices are averaged to obtain the historical average index distribution characteristic value. Based on the percentage conversion of the historical average index distribution characteristic value, the historical distribution uniformity of the sewage parameters in different locations is evaluated. The larger the percentage conversion value, the smaller the historical distribution uniformity value.

4. The integrated wastewater treatment management method according to claim 3, characterized in that, Step S2 includes: Based on the historical distribution uniformity value and the historical measured flow velocity, plot the correlation variation characteristic curve between the historical distribution uniformity value and the historical measured flow velocity; A preset uniformity threshold is set, and flow velocity differentiation intervals are extracted from the associated variation characteristic curves based on the uniformity threshold. The flow velocity differentiation intervals are used to divide the wastewater to be treated into wastewater regions. The flow velocity in different regions affects the sedimentation rate of the wastewater in different flow velocity differentiation intervals.

5. The integrated wastewater treatment management method according to claim 4, characterized in that, Step S2 also includes: The current flow velocity to be measured is matched and divided with the flow velocity discrimination interval value to obtain the flow velocity discrimination matching result; Based on the velocity differentiation and matching results, the wastewater region to which the current measured velocity belongs is divided within the same velocity differentiation interval value in the velocity differentiation and matching results of the wastewater to be treated, and the pretreatment division region is obtained.

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