Estimation method for equivalent area and inflow of pipe network pump station

Abstract

The invention provides a method for estimating the equivalent area and inflow of a pipe network pump station. The method comprises the following steps: data preprocessing, collection of outflow and liquidometer data of a target pump station, elimination of abnormal values, and formation of an analysis data set; data segmentation: judging the start-stop state of the water pump according to the output flow data, and performing time sequence segmentation on the data set; equivalent area calculation: calculating the equivalent area of the pump station by using inflow continuity in the starting and stopping process of the water pump; and estimating the inflow water flow of the pump station. According to the scheme, through dynamic data segmentation, state correlation modeling and multi-source data fusion, on the premise that hardware does not need to be additionally arranged, the equivalent area and the inflow of the pump station are estimated in a high-precision mode, and the problems of low scheduling precision, high operation and maintenance cost and the like caused by data missing, state splitting and hardware dependence in a traditional method are solved. The technical achievement of the method can be directly applied to urban water environment treatment and a pump station automatic dispatching system, and core algorithm support is provided for intelligent water affair construction.

Description

Technical Field

[0001] The invention relates to the technical field of pipe network pump station management, and in particular to a method for estimating an equivalent area and an inflow flow rate of a pipe network pump station. Background Art

[0002] With the acceleration of urbanization, urban water environment management has become an important issue to ensure residents' lives and ecological security. As the core node of the urban drainage system, underground pipe network pumping stations undertake key tasks such as sewage transportation, flood control and drainage. The operating efficiency of the pumping station directly affects the water level stability, energy consumption and equipment life of the pipe network, and optimizing its scheduling strategy is a key means to improve system efficiency. However, the formulation of existing pump station scheduling strategies and automatic control technologies still face the following technical bottlenecks:

[0003] The problem of missing data on the equivalent area and inflow of the pump station pool. The equivalent area of ​​the pump station pool (i.e., the volume of water corresponding to a unit liquid level change) is the core parameter of the scheduling model, but in practice, the pool structure is complex (such as special-shaped pools, multi-stage buffer pools, etc.), which is difficult to measure directly or there are large errors. At the same time, the inflow flow is usually monitored by flow meters, but due to factors such as the wide distribution of pipe networks and the complex underground environment, inflow monitoring equipment is often missing or fails due to installation difficulties and high maintenance costs. Missing data directly leads to inaccurate input parameters of the scheduling algorithm, which in turn affects the accuracy of water level control, and even causes problems such as frequent start and stop of pump stations and increased equipment loss.

[0004] Limitations of existing estimation methods. Traditional methods usually estimate equivalent area and inflow based on the constant inflow assumption or a simple water balance model, but do not fully consider the changes in dynamic boundary conditions caused by the start and stop of the pump in the actual operation of the pump station. For example, when the pump is turned on, the outflow increases sharply, and the liquid level change is affected by both the inflow and the outflow; while when the pump is turned off, the liquid level is only driven by the inflow. Existing methods do not effectively separate the data features of these two states, resulting in error accumulation in the model when the state switches, and the reliability of the estimation results is low. In addition, external interference such as rainfall will introduce abnormal data, further reducing the robustness of traditional methods.

[0005] Hardware dependence and cost contradiction, in order to make up for the data loss, the existing technology usually improves data integrity by adding inflow monitoring equipment or high-precision liquid level sensors, but this significantly increases the construction and operation and maintenance costs of pump stations. Especially in the renovation of old pipe networks, hardware installation is restricted by space limitations or construction difficulties, and it is difficult to promote on a large scale.

[0006] How to achieve high-precision parameter estimation under limited monitoring data conditions has become a key problem in balancing cost and scheduling accuracy. Summary of Technical Problems In summary, there is an urgent need in the prior art for a pump station parameter estimation method that can meet the requirements. Summary of the invention

[0007] The purpose of the present invention is to provide a method for jointly estimating equivalent area and inflow based on pump station outflow and liquid level data, so as to provide high-precision and low-cost parameter support for intelligent scheduling of pump stations.

[0008] To achieve the above object, the present invention proposes the following technical solution: a method for estimating the equivalent area and inflow flow of a pipe network pump station, comprising the following steps:

[0009] Step 1: Data preprocessing: collecting the outflow and liquid level meter data of the target pump station, removing abnormal values, and forming an analysis data set;

[0010] Step 2: Data segmentation: judging the start and stop status of the water pump according to the outflow data, and segmenting the data set in time series;

[0011] Step 3, equivalent area calculation, using the continuity of inflow during the start and stop process of the pump to calculate the equivalent area of ​​the pump station;

[0012] Step 4, inflow estimation, estimates the inflow of the pumping station based on the equivalent area data.

[0013] Furthermore, in the present invention, step 1 includes: obtaining the outflow flow time series Qt and liquid level meter data Lt of the target pump station, excluding the rainfall period data, and calculating the sampling time interval dT i , Liquid level change dL i and liquid level change rate L' i , forming a complete data set D including timestamp, sampling interval, outflow, liquid level, liquid level change and change rate, data set D = {T, dT, Q, L, dL, L'}, where T, dT, Q, L, dL, L' are all time series with length N.

[0014] Furthermore, in the present invention, step 1 also includes a specific method for data preprocessing:

[0015] When there are multiple water outlet flow meters, the flow meter data at each moment are superimposed and summed to obtain Qt;

[0016] Calculate the sampling interval dT i =T i -T i-1 , where i ≥ 2, dT 1 =0;

[0017] Calculate the liquid level change dL i =L i+1 -L i , where i ≥ 1, dL 1 =0;

[0018] Calculate the liquid level change rate L' i =dLi / dT i , where i ≥ 1, L' 1 =0.

[0019] Further, in the present invention, the step 2 includes: judging the start and stop status of the water pump according to the Qt data, and when Qt is less than a set threshold, judging that the water pump is turned off, otherwise the water pump is turned on;

[0020] Select the time nodes of the alternating start and stop of the water pump to split the data set D in time series, and obtain M+1 segments {D 1 , D 2 , …, D M+1}, establish subset P i ={D i , D (i+1)}.

[0021] Further, in the present invention, the step 3 comprises:

[0022] For each subset P i , select D i and D i+1 The Qt and dL data of the last K and first K sampling points are used to calculate the number of selected data points. Select the last K data points of Qt and dL in the Di set and the first K data points in the Di+1 set;

[0023] Calculate the average water flow rate in the open state And the average value of the liquid level change when the pump is turned off Average value of liquid level change when the water pump is turned on

[0024] Substitute the calculated result into the formula Get the equivalent area estimate Si* calculated from the current sub-dataset Pi;

[0025] Calculate the area estimation value Si* corresponding to each sub-dataset Pi in turn, and calculate the average value of all estimation values ​​Si* as the final estimated equivalent area S*.

[0026] Further, in the present invention, step 4 comprises:

[0027] Substitute the equivalent area S* into the inflow flow calculation formula Qin=Qout+L'×S to obtain the time series Qin* of the inflow flow, and draw a graph of the inflow flow changing with time.

[0028] Furthermore, in the present invention, the flow meter data Qt is the total flow rate of the outflow flow rates at each moment added together.

[0029] A smart dispatching system, comprising:

[0030] Data acquisition module, used to collect flow meter data and liquid level meter data of the pump station;

[0031] A data processing module, used for preprocessing, segmenting and calculating the collected data to obtain the equivalent area S* and inflow Qin* of the pump station, wherein the data processing module uses the method for estimating the equivalent area and inflow of the pipe network pump station according to any one of claims 1 to 7 to perform data processing;

[0032] The dispatching strategy module is used to formulate the dispatching strategy of the pumping station according to the equivalent area S* and inflow Qin* of the pumping station.

[0033] Furthermore, the present invention includes a visualization module for dynamically displaying the time series variation curve of the inflow rate and the equivalent area calculation result.

[0034] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned method for estimating the equivalent area and inflow flow of a pipe network pump station.

[0035] Beneficial effects: The technical solution of this application has the following technical effects:

[0036] 1. Solve the problem of missing and distorted data and improve the accuracy of the scheduling algorithm. Without relying on inflow monitoring hardware, the equivalent area and inflow of the pump station are estimated indirectly through the time series data of outflow and liquid level, combined with dynamic state segmentation and water balance model, solving the parameter error problem caused by the missing inflow monitoring equipment or data distortion in traditional methods. By excluding data during rainfall periods, removing outliers and segmenting dynamic data, the impact of external environmental interference on the estimation results is significantly reduced, and the robustness of parameters is improved.

[0037] 2. Dynamic state segmentation and continuity modeling to improve the accuracy of equivalent area estimation. Data segmentation based on the start and stop state of the water pump: The start and stop state of the water pump is judged by the threshold, and the time series data is divided into "on-off" alternating segments. The physical law of inflow continuity during start-stop switching is used, that is, when the pump is stopped, the liquid level is only driven by the inflow, and when the pump is started, the liquid level is affected by the inflow and the outflow. The area estimation model under dynamic boundary conditions is established. Through the independent calculation and mean fusion of multiple sub-data sets, the impact of single segment data noise is reduced, and the stability of equivalent area estimation is improved.

[0038] 3. Reduce hardware costs and operation and maintenance complexity, reduce hardware dependence, only require routine monitoring of outflow flow meter and liquid level meter data, no need to install additional inflow monitoring equipment, especially suitable for the renovation of old pumping stations or complex underground pipe network scenarios, saving hardware deployment and maintenance costs. Support the superposition and fusion of multiple outflow flow meter data, adapt to different pumping station structures, and improve the universality of the method.

[0039] It should be appreciated that all combinations of the foregoing concepts, as well as additional concepts described in greater detail below, may be considered to be part of the inventive subject matter of the present disclosure, provided such concepts are not mutually inconsistent.

[0040] The foregoing and other aspects, embodiments and features of the present invention can be more fully understood from the following description in conjunction with the accompanying drawings. Other additional aspects of the present invention, such as the features and / or beneficial effects of the exemplary embodiments, will be apparent from the following description or learned from the practice of the specific embodiments according to the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component shown in various figures may be represented by the same reference numeral. For clarity, not every component is labeled in every figure. Embodiments of various aspects of the present invention will now be described by way of example and with reference to the accompanying drawings, in which:

[0042] Figure 1 It is a schematic diagram of the process of the present invention.

[0043] Figure 2 This is the Qt diagram of the present invention.

[0044] Figure 3 This is the Lt diagram of the present invention.

[0045] Figure 4 This is the dT diagram of the present invention.

[0046] Figure 5 This is the dL diagram of the present invention.

[0047] Figure 6 This is the L' diagram of the present invention.

[0048] Figure 7 This is an image of the inflow flow rate changing with time (Qin*~t graph) of the present invention. DETAILED DESCRIPTION

[0049] In order to better understand the technical content of the present invention, specific embodiments are cited and described as follows in conjunction with the accompanying drawings. Various aspects of the present invention are described in this disclosure with reference to the accompanying drawings, in which many illustrative embodiments are shown. The embodiments of the present disclosure are not necessarily defined to include all aspects of the present invention. It should be understood that the various concepts and embodiments introduced above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed in the present invention are not limited to any implementation. In addition, some aspects disclosed in the present invention can be used alone, or in any appropriate combination with other aspects disclosed in the present invention.

[0050] This embodiment provides a method for estimating the equivalent area and inflow flow of a pipe network pump station, comprising the following steps:

[0051] Step 1: Data preprocessing: collect the outflow and liquid level meter data of the target pump station, remove abnormal values, and form an analysis data set.

[0052] The step 1 includes: obtaining the outflow flow time series Qt and liquid level meter data Lt of the target pump station, such as Figure 2-3 The flow meter data Qt is the total flow of the outflow flow at each moment. After excluding the data during the rainfall period, the sampling time interval dT is calculated. i , Liquid level change dL i and liquid level change rate L' i ,like Figure 4-6 , forming a complete data set D including timestamp, sampling interval, outflow, liquid level, liquid level change and change rate, data set D = {T, dT, Q, L, dL, L'}, where T, dT, Q, L, dL, L' are all time series with length N.

[0053] Furthermore, in the present invention, step 1 also includes a specific method for data preprocessing:

[0054] When there are multiple water outlet flow meters, the flow meter data at each moment are superimposed and summed to obtain Qt;

[0055] Calculate the sampling interval dT i =T i -T i-1 , where i ≥ 2, dT 1 =0;

[0056] Calculate the liquid level change dL i =L i+1 -L i , where i ≥ 1, dL 1 =0;

[0057] Calculate the liquid level change rate L' i =dL i / dT i , where i ≥ 1, L' 1 =0.

[0058] By collecting the original data of the outflow and liquid level of the pump station, removing abnormal values ​​(such as sensor failure data) and rainfall period data (avoiding rainfall interference, the rainfall period can be identified based on meteorological data), a standardized and reliable analysis data set is formed. When there are multiple water outflow meters, the flow data at each moment are superimposed and summed to ensure the accuracy of the total outflow. By calculating the sampling interval, liquid level change and liquid level change rate, a data set D = {T, dT, Q, L, dL, L'} containing complete time series features is constructed to provide structured input for subsequent analysis.

[0059] Exclude rainfall data and outliers to reduce the interference of external factors on the estimation results. Support multiple flow meter scenarios, adapt to different pump station structures, and improve the universality of the method. Ensure the standardization of subsequent algorithm inputs through unified timestamps and feature calculations.

[0060] Step 2: Data segmentation: determine the start and stop status of the water pump based on the outflow data, and perform time series segmentation on the data set.

[0061] The step 2 includes: judging the start and stop status of the water pump according to the Qt data; when Qt is less than the set threshold, the threshold is set to 0.001m 3 / h, the water pump is judged to be off, otherwise the water pump is on;

[0062] Select the time nodes of the alternating start and stop of the water pump to split the data set D in time series, and obtain M+1 segments {D 1 , D 2 , …, D M+1}, establish subset P i ={D i , D (i+1)}.

[0063] It can identify the state and dynamically identify the start and stop state of the water pump according to the outflow threshold (such as Qt < threshold to determine the water pump is off). The data set D is divided into multiple continuous segments {D1, D2, ..., DM+1} with the time nodes of the water pump starting and stopping as the boundary, and the subset Pi = {Di, Di+1} is constructed (including the data before and after the "off→on" or "on→off" state switching).

[0064] Through physical law modeling, the continuity of the liquid level change when the pump is switched on and off is used (the liquid level is driven only by the inflow when the pump is stopped, and the liquid level is affected by both the inflow and the outflow when the pump is started) to provide dynamic boundary conditions for equivalent area calculation. Through state segmentation, the key data segments before and after the start-stop switch are extracted to avoid errors caused by global data averaging.

[0065] Step 3, equivalent area calculation, uses the inflow continuity during the start and stop process of the pump to calculate the equivalent area of ​​the pump station.

[0066] The step 3 comprises:

[0067] For each subset P i , select D i and D i+1 The Qt and dL data of the last K and first K sampling points. The selection of K value is closely related to factors such as the scale of the pump station, the power of the pump, and the water flow rate, and needs to be adjusted according to the actual situation. If the K value is too small, it is difficult to suppress the random error of the data; if the K value is too large, it may cover up the short-term changes of the data. To ensure the calculation accuracy, it is recommended to select 10 to 20 sampling data points. Calculate the average water flow rate in the open state And the average value of the liquid level change when the pump is turned off Average value of liquid level change when the water pump is turned on

[0068] Reservoir inflow flow Q in =Q out +L'×S. When the water pump stops, Q in,close =L' close ×S; when the water pump is turned on, Q in,open =Q out,open +L' open ×S. According to the assumption of inflow continuity, the inflow of the reservoir remains continuous and stable before and after the pump state is switched, so Q in,close =Q in,open , i.e. L' close ×S=Q out,open +L' open ×S, from which the equivalent area of ​​the reservoir can be estimated S = Q out,open / (L' close -L' open ).

[0069] Substitute the calculated result into the formula Get the equivalent area estimate Si* calculated from the current sub-dataset Pi;

[0070] Calculate the area estimation value Si* corresponding to each sub-dataset Pi in turn, and calculate the average value of all estimation values ​​Si* as the final estimated equivalent area S*.

[0071] Through dynamic data selection, for each subset Pi, select the outflow and liquid level change data within τ seconds before and after the start-stop switch to ensure the continuity of the data before and after the state switch. Calculate the average outflow when the water pump is turned on. Calculate the average value of the liquid level change rate in the pump stop state and the pump start state respectively. Substitute into the formula Derive the equivalent area estimate Si*. Take the average of Si* of all subsets Pi to get the final equivalent area S*. For example, the following table shows.

[0072]

[0073] Driven by physical models, based on the water balance equation and combined with the continuity assumption during start-stop switching, the overfitting problem of pure data drive is avoided. Through multi-segment independent calculation and mean fusion, the impact of single segment data noise is reduced and the stability of equivalent area estimation is improved. No additional inflow monitoring equipment is required, and the calculation can be completed only by relying on existing outflow and liquid level data.

[0074] Step 4, inflow estimation, estimates the inflow of the pumping station based on the equivalent area data.

[0075] The step 4 includes substituting the equivalent area S* into the inflow flow calculation formula Qin=Qout+L'×S to obtain the inflow flow time series Qin*, aggregating the data to the target time resolution (such as hourly) by resampling method, and drawing the image of the inflow flow changing with time, wherein the original data is minute by minute, in order to improve the data analyzability and presentation effect, Figure 7 The result of resampling to hourly intervals is generated. A curve chart of inflow changing with time is generated to intuitively display the inflow dynamics, such as Figure 7 .

[0076] For example, the monitoring data of Pujiang Road Pump Station from 15:00 on December 8 to 15:00 on December 9 is selected, including the water flow rate of the pump station, the liquid level meter, the sampling time and other data. Calculate the dT, dL, and L' data in sequence and draw relevant graphs, such as Figures 2 to 6 shown.

[0077] The data is divided into 43 segments according to the total time when the pump status changes, and 42 data subsets are established. For each subset, the Qt and dL data of 20 sampling points in each segment before and after the pump status switch are selected (if the number of sampling points is insufficient, all segments are selected), and the mean water flow rate in the open state is calculated. And the average value of the liquid level change when the pump is turned off Average value of liquid level change when the water pump is turned on

[0078] Substitute the data into the formula Get the equivalent area estimation value Si* calculated by the current sub-dataset Pi. Calculate the area estimation value Si* corresponding to each sub-dataset Pi in turn, and calculate the average value of all estimation values ​​Si* as the final estimated equivalent area S*.

[0079] The table above shows the equivalent area and its average value calculated during the 21 state transitions of the pump from off to on. Similar estimation results are obtained for the process of the pump from on to off.

[0080] Substitute the final estimated equivalent area S* into the inflow flow calculation formula Qin = Qout + L' × S to obtain the time series Qin* of the inflow flow. Aggregate the data to hourly by resampling method and draw a graph of the inflow flow changing with time, as shown in Figure 7 .

[0081] This embodiment provides a specific process for calculating the equivalent area and inflow flow of a pump station based on the outflow flow and liquid level meter data of the pump station. In practical applications, it can supplement the calculation errors of the scheduling algorithm caused by missing inflow flow and pool area data of the pump station, data distortion, etc. Through this solution, the inflow water volume of the pump station can be reasonably estimated, thereby reducing the installation and maintenance of related monitoring hardware and reducing the construction and operation costs.

[0082] This embodiment also provides a smart scheduling system, including:

[0083] Data acquisition module, used to collect flow meter data and liquid level meter data of the pump station;

[0084] A data processing module, used for preprocessing, segmenting and calculating the collected data to obtain the equivalent area S* and inflow Qin* of the pump station, wherein the data processing module uses the method for estimating the equivalent area and inflow of the pipe network pump station according to any one of claims 1 to 7 to perform data processing;

[0085] The dispatching strategy module is used to formulate the dispatching strategy of the pumping station according to the equivalent area S* and inflow Qin* of the pumping station.

[0086] It includes a visualization module, which is used to dynamically display the time series change curve of inflow and the equivalent area calculation results. The visualization module helps operation and maintenance personnel quickly understand the inflow trend and assist in formulating or adjusting the scheduling strategy.

[0087] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned method for estimating the equivalent area and inflow flow of a pipe network pump station.

[0088] Each step of this embodiment is centered around reducing hardware dependence, improving calculation accuracy, and enhancing practicality. Steps 1-2 ensure data quality and state segmentation to provide reliable input for modeling; step 3 achieves high-precision estimation of equivalent area through physical models and multi-segment optimization; step 4 and system modules transform theoretical results into real-time scheduling and visualization tools to enable engineering practice of smart water services. This method has significant advantages in cost control, accuracy improvement, and ease of operation and maintenance.

[0089] Although the present invention has been disclosed as above with preferred embodiments, it is not intended to limit the present invention. A person with ordinary knowledge in the technical field to which the present invention belongs may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be determined by the definition of the claims.

Claims

1. A method for estimating the equivalent area and inflow flow of a pipe network pump station, characterized in that: The following steps are involved: Step 1: Data preprocessing: collecting the outflow and liquid level meter data of the target pump station, removing abnormal values, and forming an analysis data set; Step 2: Data segmentation: judging the start and stop status of the water pump according to the outflow data, and segmenting the data set in time series; Step 3, equivalent area calculation, using the continuity of inflow during the start and stop process of the pump to calculate the equivalent area of ​​the pump station; Step 4, inflow estimation, estimates the inflow of the pumping station based on the equivalent area data.

2. The method for estimating the equivalent area and inflow flow of a pipe network pump station according to claim 1, characterized in that: The step 1 includes: obtaining the outflow flow time series Qt and liquid level meter data Lt of the target pump station, excluding the rainfall period data, and calculating the sampling time interval dT i , Liquid level change dL i and liquid level change rate L' i , forming a complete data set D including timestamp, sampling interval, outflow, liquid level, liquid level change and change rate, data set D = {T, dT, Q, L, dL, L'}, where T, dT, Q, L, dL, L' are all time series with length N.

3. The method for estimating the equivalent area and inflow flow of a pipe network pump station according to claim 2, characterized in that: The step 1 also includes a specific method for data preprocessing: When there are multiple water outlet flow meters, the flow meter data at each moment are superimposed and summed to obtain Qt; Calculate the sampling interval dT i =T i -T i-1 , where i≥2, dT1=0; Calculate the liquid level change dL i =L i+1 -L i , where i≥1, dL1=0; Calculate the liquid level change rate L' i =dL i / dT i , where i≥1, L'1=0.

4. The method for estimating the equivalent area and inflow flow of a pipe network pump station according to claim 3, characterized in that: The step 2 comprises: judging the start and stop status of the water pump according to the Qt data, and judging that the water pump is turned off when Qt is less than a set threshold, otherwise the water pump is turned on; Select the time nodes of the alternating start and stop of the water pump to split the data set D in time series, and obtain M+1 segments {D1, D2, …, D M+1 }, establish subset P i ={D i , D (i+1) }.

5. The method for estimating the equivalent area and inflow flow of a pipe network pump station according to claim 4, characterized in that: The step 3 comprises: For each subset P i , select D i and D i+1 The Qt and dL data of the last K and first K sampling points are used to calculate the number of selected data points. Select the last K data points of Qt and dL in the Di set and the first K data points in the Di+1 set; Calculate the average water flow rate in the open state And the average value of the liquid level change when the pump is turned off Average value of liquid level change when the water pump is turned on Substitute the calculated result into the formula Get the equivalent area estimate Si* calculated from the current sub-dataset Pi; Calculate the area estimation value Si* corresponding to each sub-dataset Pi in turn, and calculate the average value of all estimation values ​​Si* as the final estimated equivalent area S*.

6. The method for estimating the equivalent area and inflow flow of a pipe network pump station according to claim 5, characterized in that: The step 4 comprises: Substitute the equivalent area S* into the inflow flow calculation formula Qin=Qout+L'×S to obtain the time series Qin* of the inflow flow, and draw a graph of the inflow flow changing with time.

7. The method for estimating the equivalent area and inflow flow of a pipe network pump station according to claim 2, characterized in that: The flow meter data Qt is the total flow rate summed up at each moment.

8. An intelligent dispatching system, characterized in that: include: Data acquisition module, used to collect flow meter data and liquid level meter data of the pump station; A data processing module, used for preprocessing, segmenting and calculating the collected data to obtain the equivalent area S* and inflow Qin* of the pump station, wherein the data processing module uses the method for estimating the equivalent area and inflow of the pipe network pump station according to any one of claims 1 to 7 to perform data processing; The dispatching strategy module is used to formulate the dispatching strategy of the pumping station according to the equivalent area S* and inflow Qin* of the pumping station.

9. The intelligent dispatching system according to claim 8, characterized in that: It includes a visualization module for dynamically displaying the time series change curve of inflow and the equivalent area calculation results.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for estimating the equivalent area and inflow flow of a pipe network pump station described in any one of claims 1 to 7 is implemented.

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