Water lifting power generation system based on flow and pressure monitoring

Abstract

The invention relates to the technical field of water conservancy projects, in particular to a water lifting power generation system based on flow and pressure monitoring, and the method comprises the steps that position information of at least one water distribution port of a water conveying pipeline and historical initial water flow information are obtained, and the position information comprises the terrain of the water distribution port; determining a target water distribution port based on the position information of each water distribution port and the historical initial water flow information; determining current initial water flow information of the target water distribution port; according to the historical initial water flow information and the current initial water flow information, current water flow prediction information of the target water distribution port is obtained; based on the current water flow predicted value, the historical initial water flow information and the position information, target water distribution port water flow information is determined; and according to the water flow information of the target water distribution port, water lifting and power generation equipment of the target water distribution port is controlled to carry out water lifting or power generation. Water energy in the preset water conveying pipeline is utilized, the utilization rate of the water energy is increased, and waste of water energy resources is reduced.

Description

Technical Field

[0001] The present application relates to the field of water conservancy engineering technology, and in particular to a water pumping and power generation system based on flow and pressure monitoring. Background Art

[0002] Hydropower is a clean, environmentally friendly, sustainable and renewable energy source, and has always been favored in energy development and utilization. With the country's increasing attention to ecological environmental protection and the growing demand for energy in social development, combined with the development trend of the widely recognized concept of low-carbon sustainable development, taking full and efficient use of hydropower as a breakthrough, choosing an economical, feasible and efficient way of hydropower allocation is an important consideration for my country's current development and utilization of hydropower.

[0003] In the existing hydropower generation technology, in order to achieve accurate control of the water diversion outlets in the water supply pipeline, the following methods are usually used: (1) flow control method based on fixed thresholds, that is, the upper and lower flow limits of each diversion outlet are pre-set, and when the actual flow exceeds or falls below these thresholds, it is adjusted through valves and other devices; (2) dynamic control method based on real-time monitoring, through sensors installed at the diversion outlets to collect flow and pressure data in real time, and automatically adjust the valve opening according to these data to maintain the stable operation of the system; (3) empirical control method based on historical data, by analyzing historical data, a set of control strategies suitable for specific scenarios are formulated, and then operations are performed according to this set of strategies. Although these methods can meet the needs to a certain extent, they still have certain limitations when facing complex and changing actual environments.

[0004] However, the above methods all have some shortcomings in practical applications. The flow control method based on fixed thresholds is too rigid and cannot adapt to flow changes in different seasons and weather conditions; the dynamic control method based on real-time monitoring can respond in real time, but lacks the ability to predict future trends, which easily leads to frequent adjustments, thereby reducing the utilization rate of actual water energy and causing waste of water energy resources. Summary of the invention

[0005] In order to realize the utilization of water energy in a preset water pipeline, improve the utilization rate of water energy, and reduce the waste of water energy resources, the present application provides a water pumping and power generation system based on flow and pressure monitoring.

[0006] In a first aspect, the present application provides a method for pumping water for power generation based on flow and pressure monitoring, which adopts the following technical solution: A water pumping and power generation method based on flow and pressure monitoring, comprising: Acquire location information and historical initial water flow information of at least one water diversion outlet of a water pipeline, wherein the location information includes the water diversion outlet topography, and the historical initial water flow information includes the historical initial flow rate and the historical initial pressure of the at least one water diversion outlet; Determine the target water diversion point based on the location information of each water diversion point and the historical initial water flow information; Determine the current initial water flow information of the target water diversion port, wherein the current initial water flow information includes the current initial pressure of the target water diversion port and the current initial flow rate of the target water diversion port; According to the historical initial water flow information and the current initial water flow information, current water flow prediction information of the target water diversion outlet is obtained, wherein the current water flow prediction value includes a current flow prediction value and a current pressure prediction value; Based on the current water flow prediction value, the historical initial water flow information and the water diversion outlet position information, the target water diversion outlet water flow information is determined, and the target water diversion outlet water flow information includes the target water diversion outlet regulated flow rate and the target water diversion outlet regulated pressure; according to the target water diversion outlet water flow information, the water-lifting and power generation equipment of the target water diversion outlet is controlled to lift water or generate electricity.

[0007] By adopting the above-mentioned technical scheme, the preset flow range and preset pressure range corresponding to the water-lifting and power generation equipment corresponding to each water diversion outlet are obtained; the regulated flow is compared with the preset flow range; the regulated pressure is compared with the preset pressure range; if the regulated flow is within the preset flow range and the regulated pressure is within the preset pressure range, the water-lifting and power generation equipment of the target water diversion outlet is controlled to pump water or generate electricity.

[0008] In another possible implementation, obtaining the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information includes: Determine the historical initial pressure and historical initial flow rate at each of the water diversion outlets at each moment within a preset time period; Taking each moment in the preset time period as the abscissa and the historical initial pressure corresponding to each moment as the ordinate, a pressure change curve of the target water diversion outlet is established; Taking each moment in the preset time period as the abscissa and the historical initial flow rate corresponding to each moment as the ordinate, a flow rate variation curve of the target water diversion outlet is established; Based on the flow change curve, determining a current flow prediction value of the target water diversion outlet; Based on the pressure variation curve, a predicted value of the current pressure of the target water diversion outlet is determined.

[0009] In another possible implementation, the obtaining the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information further includes: Determine the upstream water diversion port information corresponding to the target water diversion port, the upstream water diversion port information includes the location of the upstream water diversion port, the target pipeline between the upstream water diversion port and the target water diversion port, and the target pipeline information, wherein the target pipeline information includes at least one of the length, diameter, material and leakage degree corresponding to the target pipeline; Determine the historical water flow information of the upstream water diversion according to the target water diversion and the upstream water diversion information, wherein the historical water flow information of the upstream water diversion includes the upstream water diversion flow rate and the upstream water diversion pressure at each moment within a preset time period of the upstream water diversion; Based on the preset time period, the flow rate of the upstream water diversion port and the pressure of the upstream water diversion port, respectively determine the flow rate change curve of the upstream water diversion port and the pressure change curve of the upstream water diversion port; The flow change curve of the target water diversion port, the pressure change curve of the target water diversion port, the flow change curve of the upstream water diversion port, the pressure change curve of the upstream water diversion port and the target pipeline information are input into a preset flow pressure prediction model to obtain the current water flow prediction information of the target water diversion port.

[0010] In another possible implementation, the training process of the preset flow pressure prediction model includes: Determine the upstream training flow rate of the upstream water diversion port, the upstream training pressure of the upstream water diversion port, the training time flow rate and the training time pressure within the preset time period; generating a training data set based on the upstream training flow and the upstream training pressure; Inputting the training data set into the initial flow and pressure prediction model, and outputting the virtual flow and virtual pressure corresponding to the target water diversion outlet; Calculate the virtual flow and the flow at the training time to obtain the flow loss; Calculate the virtual pressure and the pressure at the training time to obtain a pressure loss; Calculating according to the flow loss and the pressure loss to obtain a target loss; Based on the target loss, the initial flow pressure prediction model is trained to generate the preset flow pressure prediction model.

[0011] In another possible implementation, the determining of the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the location information includes: Determine whether there is a water collection tank at the location corresponding to each water diversion outlet; Calculate the current initial flow rate of each water diversion outlet and the historical initial flow rate to obtain a first calculation result; Calculating the current initial pressure of each water diversion port and the historical initial pressure to obtain a second calculation result; If there is a water collection tank, the first calculation result is within a preset flow difference interval, and the second calculation result is within a preset pressure difference interval, the water diversion port is determined to be the target water diversion port, and the water flow information of the water diversion port is the target water diversion port water flow information.

[0012] In another possible implementation, the step of controlling the water-lifting and power-generating equipment at the target water-dividing outlet to pump water or generate electricity according to the water flow information at the target water-dividing outlet includes: Obtaining a preset flow range and a preset pressure range corresponding to the water-lifting power generation equipment corresponding to each target water diversion outlet; Comparing the adjusted flow rate with the preset flow rate interval; comparing the adjusted pressure with the preset pressure range; If the regulated flow is within the preset flow range, and the regulated pressure is within the preset pressure range, the water-lifting and power-generating equipment at the target water diversion outlet is controlled to lift water or generate electricity.

[0013] In another possible implementation, the method further includes: Obtaining plant species in the area corresponding to each water diversion outlet and the current soil content of each area; Based on the plant species, determining a preset soil moisture content corresponding to each area; Comparing the current moisture content of each area with the preset soil moisture content; If the current soil moisture content is less than the preset soil moisture content, controlling the water-lifting power generation equipment to pump water; If the current soil moisture content is greater than the preset soil moisture content, the water-lifting power generation equipment is controlled to generate electricity.

[0014] In another possible implementation, the training data set is input into the initial flow and pressure prediction model, and the virtual flow and virtual pressure corresponding to the target water diversion outlet are output, including: The initial flow pressure prediction model is a time series prediction model; The training data set is input into the time series prediction model, and the time series prediction model uses a first autocorrelation function (ACF) and a first partial correlation function (PACF) to identify the upstream training flow and the upstream training pressure, and determine the initial first autoregressive term order, the initial first difference order, and the initial first moving average term order corresponding to the initial flow and pressure prediction model; The first autocorrelation function (ACF) is: in, is the sample mean.

[0015] First partial correlation function (PACF): in, For k>1, ρ k is the first autofunction correlation value, is the first partial correlation function value of the k-order lag; based on the seasonal autocorrelation function (SACF) and the seasonal partial correlation function (SPACF), the upstream training flow and the upstream training pressure are identified to determine the order of the initial seasonal autoregressive term, the order of the initial seasonal difference term, the order of the initial seasonal moving average term, and the initial seasonal period; The seasonal autocorrelation function (SACF) is: Here, k is the seasonal lag and n is the length of the time series.

[0016] The seasonal partial correlation function (SPACF) is: in, Indicates that when y is known t-1 ,y t-2 ,…,y t-k+1 Under the condition, y t The conditional expectation of Indicates that when y is known t-k-1 ,y t-k-2 ,…,y t-2k+1 Under the condition, y t-k The conditional expectation of Based on the initial flow and pressure prediction model, based on the initial first autoregressive term order, the initial first difference order, the initial first moving average term order, the initial seasonal autoregressive term order, the initial seasonal difference order, the initial seasonal moving average term order, and the initial seasonal period, the virtual flow and the virtual pressure corresponding to the target water diversion outlet are output.

[0017] In a second aspect, the present application provides a water pumping and power generation device based on flow and pressure monitoring, which adopts the following technical solution: A water-lifting power generation device based on flow and pressure monitoring, comprising: An information acquisition module, which acquires the location information of at least one water diversion outlet of the water pipeline and the historical initial water flow information, wherein the location information includes the water diversion outlet topography, and the historical initial water flow information includes the historical initial flow rate and the historical initial pressure of the at least one water diversion outlet; A target water diversion determining module, which determines the target water diversion based on the location information of each water diversion and the historical initial water flow information; an information determining module, which is used to determine the current initial water flow information of the target water diversion, wherein the current initial water flow information includes the current initial pressure of the target water diversion and the current initial flow of the target water diversion; An information prediction module, used to obtain the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, wherein the current water flow prediction value includes a current flow prediction value and a current pressure prediction value; A target information determination module, configured to determine target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the water diversion outlet position information, wherein the target water diversion outlet water flow information includes a target water diversion outlet regulated flow rate and a target water diversion outlet regulated pressure; The control module is used to control the water-lifting and power-generating equipment of the target water-dividing outlet to lift water or generate electricity according to the water flow information of the target water-dividing outlet.

[0018] In another possible implementation, when the information determination module obtains the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, it is specifically used to: Determine the historical initial pressure and historical initial flow rate at each of the water diversion outlets at each moment within a preset time period; Taking each moment in the preset time period as the horizontal coordinate and the historical initial pressure corresponding to each moment as the vertical coordinate, a pressure change curve of the target water diversion outlet is established; Taking each moment in the preset time period as the horizontal coordinate and the historical initial flow corresponding to each moment as the vertical coordinate, a flow change curve of the target water diversion outlet is established; Based on the flow change curve, determining a current flow prediction value of the target water diversion outlet; Based on the pressure variation curve, a predicted value of the current pressure of the target water diversion outlet is determined.

[0019] In another possible implementation, when the information determination module obtains the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, it is specifically used to: Determine the upstream water diversion port information corresponding to the target water diversion port, the upstream water diversion port information includes the location of the upstream water diversion port, the target pipeline between the upstream water diversion port and the target water diversion port, and the target pipeline information, wherein the target pipeline information includes at least one of the length, diameter, material and leakage degree corresponding to the target pipeline; Determine the historical water flow information of the upstream water diversion according to the target water diversion and the upstream water diversion information, wherein the historical water flow information of the upstream water diversion includes the upstream water diversion flow rate and the upstream water diversion pressure at each moment within a preset time period of the upstream water diversion; Based on the preset time period, the flow rate of the upstream water diversion port and the pressure of the upstream water diversion port, respectively determine the flow rate change curve of the upstream water diversion port and the pressure change curve of the upstream water diversion port; The flow change curve of the target water diversion port, the pressure change curve of the target water diversion port, the flow change curve of the upstream water diversion port, the pressure change curve of the upstream water diversion port and the target pipeline information are input into a preset flow pressure prediction model to obtain the current water flow prediction information of the target water diversion port.

[0020] In another possible implementation, the information determination module is specifically used to: Determine the upstream training flow rate of the upstream water diversion port, the upstream training pressure of the upstream water diversion port, the training time flow rate and the training time pressure within the preset time period; generating a training data set based on the upstream training flow and the upstream training pressure; Inputting the training data set into the initial flow and pressure prediction model, and outputting the virtual flow and virtual pressure corresponding to the target water diversion outlet; Calculate the virtual flow and the flow at the training time to obtain the flow loss; Calculate the virtual pressure and the pressure at the training time to obtain a pressure loss; Calculating according to the flow loss and the pressure loss to obtain a target loss; Based on the target loss, the initial flow pressure prediction model is trained to generate the preset flow pressure prediction model.

[0021] In another possible implementation, when the target information determination module determines the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the location information, it is specifically used to: Determine whether there is a water collection tank at the location corresponding to each water diversion outlet; Calculate the current initial flow rate of each water diversion outlet and the historical initial flow rate to obtain a first calculation result; Calculating the current initial pressure of each water diversion port and the historical initial pressure to obtain a second calculation result; If there is a water collection tank, the first calculation result is within a preset flow difference interval, and the second calculation result is within a preset pressure difference interval, the water diversion outlet is determined to be the target water diversion outlet, and the water flow information of the water diversion outlet is the target water diversion outlet water flow information.

[0022] In another possible implementation, when the control module controls the water-lifting and power-generating equipment of the target water-dividing outlet to pump water or generate electricity according to the water flow information of the target water-dividing outlet, it is specifically used to: Obtaining a preset flow range and a preset pressure range corresponding to the water-lifting power generation equipment corresponding to each target water diversion outlet; Comparing the adjusted flow rate with the preset flow rate interval; comparing the adjusted pressure with the preset pressure range; If the regulated flow is within the preset flow range, and the regulated pressure is within the preset pressure range, the water-lifting and power-generating equipment at the target water diversion outlet is controlled to lift water or generate electricity.

[0023] In another possible implementation, the device further includes: A soil moisture content acquisition module is used to acquire the plant species in the area corresponding to each water diversion port and the current soil moisture content in each area; A preset soil moisture content determination module, used to determine the preset soil moisture content corresponding to each area based on the plant species; A moisture content comparison module, used for comparing the current moisture content of each area with the preset soil moisture content; A first judgment module is used to control the water-lifting power generation equipment to pump water if the current soil moisture content is less than the preset soil moisture content; The second judgment module is used to control the water-lifting power generation equipment to generate electricity if the current soil moisture content is greater than the preset soil moisture content.

[0024] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one is configured to: execute a water pumping and power generation method based on flow and pressure monitoring as shown in any possible implementation of the first aspect.

[0025] In summary, the present application includes at least one of the following beneficial technical effects: 1. Obtain the preset flow range and preset pressure range corresponding to the water-lifting and power generation equipment corresponding to each water diversion outlet; compare the regulated flow with the preset flow range; compare the regulated pressure with the preset pressure range; if the regulated flow is within the preset flow range and the regulated pressure is within the preset pressure range, control the water-lifting and power generation equipment of the target water diversion outlet to pump water or generate electricity. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a method for pumping water for power generation based on flow and pressure monitoring in an embodiment of the present application.

[0027] Figure 2 It is a flow chart of a water pumping and power generation device based on flow and pressure monitoring in an embodiment of the present application.

[0028] Figure 3 It is a structural schematic diagram of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The following is combined with Figure 1-3 This application is described in further detail.

[0030] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0031] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0033] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0034] The embodiment of the present application provides a method for pumping water and generating electricity based on flow and pressure monitoring, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes: step S10, step S11, step S12, step S13, step S14 and step S15, wherein, Step S10, obtaining the location information of at least one water diversion outlet of the water pipeline and the historical initial water flow information.

[0035] The location information includes the topography of the water diversion outlet, and the historical initial water flow information includes the historical initial flow and historical initial pressure of at least one water diversion outlet.

[0036] In an embodiment of the present application, during long-distance water delivery, a water pipeline is laid at a location where water needs to be delivered, wherein each water pipeline is connected to at least one water diversion port during the laying process, and each water diversion port is provided with a flow monitoring device and a pressure monitoring device, which can monitor the initial flow and initial pressure of each water diversion port in real time, and upload the detected data to a database, so as to facilitate the acquisition of the historical initial flow and historical initial pressure of each water diversion port. The location information of the water diversion port can be obtained through on-site surveys to record the terrain features of the water diversion port, such as the altitude of the water diversion port. The terrain of the water diversion port can also be obtained through GPS positioning technology.

[0037] The electronic device uses the data query function to check the historical data recorded by the flow monitoring device at the water outlet and obtain the initial flow of the water outlet in the past period of time.

[0038] Step S11, determining a target water diversion outlet based on the location information of each water diversion outlet and the historical initial water flow information.

[0039] In the implementation of this application, since the setting of the target water diversion outlet needs to meet the corresponding conditions, that is, there is a reservoir at the location of the water diversion outlet, and the height difference between the reservoir and the water diversion outlet is within 10m, it should be noted that the reservoir can provide a stable water supply to ensure the continuity and stability of the power generation and water extraction process. The appropriate height difference between the reservoir and the water diversion outlet can stabilize the pressure of the water flow on the turbine tailwater pipe and improve the operating stability of the turbine. Therefore, it is determined whether there is a water collection tank at the location corresponding to each water diversion outlet; the current initial flow of each water diversion outlet is calculated with the historical initial flow to obtain a first calculation result; the current initial pressure of each water diversion outlet is calculated with the historical initial pressure to obtain a second calculation result; if there is a water collection tank, the first calculation result is in the preset flow difference interval, and the second calculation result is in the preset pressure difference interval, the water diversion outlet is determined to be the target water diversion outlet. In this way, the location of the target water diversion outlet is accurately determined, and the accuracy of water extraction and power generation is increased.

[0040] Step S12, determining the current initial water flow information of the target water diversion outlet.

[0041] The current initial water flow information includes the current initial pressure of the target water outlet and the current initial flow rate of the target water outlet.

[0042] In an embodiment of the present application, the current initial flow and the current initial pressure are obtained through a pressure monitoring device and a flow monitoring device built into the water pipeline, and then saved in real time in a database of the electronic device. The current initial flow and the current initial pressure can be accurately obtained by accessing the database of the electronic device.

[0043] Step S13, obtaining current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information.

[0044] The current water flow prediction value includes the current flow prediction value and the current pressure prediction value.

[0045] In an embodiment of the present application, the current water flow prediction information can be used to predict the current flow and current pressure through historical flow curves and historical pressure curves; it can also be predicted through a flow pressure prediction model, and the historical flow curve, historical pressure curve and pressure prediction model can also be compared to obtain a more accurate current water flow information prediction value.

[0046] Step S14, determining the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the water diversion outlet position information.

[0047] The target water diversion outlet water flow information includes the target water diversion outlet regulated flow rate and the target water diversion outlet regulated pressure.

[0048] In an embodiment of the present application, the predicted flow and predicted pressure values ​​of the target water diversion in a certain time period in the future are obtained from the prediction model. The actual flow and pressure data of the target water diversion and its upstream water diversion in the past period of time are collected. The geographical location information of the target water diversion and its upstream water diversion is obtained, including longitude and latitude, altitude, etc. Based on the historical initial water flow information and location information, a mathematical model describing the change of water flow is established. The prediction model is used to calculate the predicted flow and predicted pressure values ​​of the target water diversion in a certain time period in the future. The actual flow and pressure values ​​of the target water diversion are monitored in real time and compared with the predicted values. Regulating the flow and pressure according to the prediction results and actual needs helps to optimize the allocation and utilization of water resources.

[0049] Step S15, controlling the water-lifting and power-generating equipment at the target water-dividing outlet to pump water or generate electricity according to the water flow information at the target water-dividing outlet.

[0050] In an embodiment of the present application, a preset flow range and a preset pressure range corresponding to the water-lifting and power-generating equipment corresponding to each water diversion outlet are obtained; the regulated flow is compared with the preset flow range; the regulated pressure is compared with the preset pressure range; if the regulated flow is within the preset flow range and the regulated pressure is within the preset pressure range, the water-lifting and power-generating equipment at the target water diversion outlet is controlled to lift water or generate electricity.

[0051] A possible implementation of the embodiment of the present application is to obtain the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, including: Determine the historical initial pressure and historical initial flow rate at each of the water diversion outlets at each moment within a preset time period; Taking each moment in the preset time period as the horizontal coordinate and the historical initial pressure corresponding to each moment as the vertical coordinate, a pressure change curve of the target water diversion outlet is established; Taking each moment in the preset time period as the horizontal coordinate and the historical initial flow corresponding to each moment as the vertical coordinate, a flow change curve of the target water diversion outlet is established; Based on the flow change curve, determine the current flow prediction value of the target water diversion outlet; Based on the pressure change curve, the current pressure prediction value of the target water diversion outlet is determined.

[0052] In the embodiment of the present application, a preset time period is determined, and the time period should be long enough to contain enough historical data points, so as to reflect the trend and law of water flow changes. The historical initial pressure and historical initial flow data at each moment in the time period are collected. These data can be collected in real time by sensors installed at the water diversion port, or they can be obtained from a historical database. For each water diversion port, each moment in the preset time period is used as the horizontal coordinate, and the initial pressure corresponding to each moment is used as the vertical coordinate, and a pressure change curve is drawn in the coordinate system. Similarly, each moment in the preset time period is used as the horizontal coordinate, and the initial flow corresponding to each moment is used as the vertical coordinate, and the flow change curve of the target water diversion port is drawn in the coordinate system. Based on the flow change curve, the trend and law of the curve can be observed, or the curve can be fitted and predicted using a mathematical model (such as linear regression, nonlinear regression, etc.), so as to obtain the predicted value of the current flow of the target water diversion port. Based on the pressure change curve, the predicted value of the current pressure of the target water diversion port can also be obtained by observing or fitting and predicting using a mathematical model. The obtained predicted value is compared with the actual situation to verify the accuracy of the prediction. If there is a large deviation between the predicted value and the actual value, the data collection range, time interval or mathematical model can be adjusted to improve the accuracy of the prediction. By establishing the flow and pressure change curve, the trend and law of water flow changes can be intuitively reflected, so as to more accurately predict the current flow and pressure of the target water diversion. By predicting the flow and pressure of the target water diversion, we can better understand the distribution and utilization of water resources, thereby optimizing resource allocation and improving the utilization efficiency of water resources.

[0053] A possible implementation of the embodiment of the present application is to obtain the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, and further includes: Determine the upstream water diversion port information corresponding to the target water diversion port, the upstream water diversion port information includes the location of the upstream water diversion port, the target pipeline between the upstream water diversion port and the target water diversion port, and the target pipeline information, wherein the target pipeline information includes at least one of the length, diameter, material and leakage degree of the target pipeline; Determine the historical water flow information of the upstream water diversion according to the target water diversion and the upstream water diversion information, wherein the historical water flow information of the upstream water diversion includes the flow rate of the upstream water diversion at each moment within a preset time period of the upstream water diversion and the pressure of the upstream water diversion; Based on the preset time period, the flow rate of the upstream water diversion port and the pressure of the upstream water diversion port, respectively determine the flow rate change curve of the upstream water diversion port and the pressure change curve of the upstream water diversion port; The flow change curve of the target water diversion port, the pressure change curve of the target water diversion port, the flow change curve of the upstream water diversion port, the pressure change curve of the upstream water diversion port and the target pipeline information are input into the preset flow pressure prediction model to obtain the current water flow prediction information of the target water diversion port.

[0054] In the embodiment of the present application, it is necessary to clarify the upstream water diversion information corresponding to the target water diversion, which includes the specific location of the upstream water diversion, the target pipeline between the upstream water diversion and the target water diversion, and the relevant information of the target pipeline (such as length, diameter, material and leakage degree, etc.). According to the determined upstream water diversion information, the flow and pressure data of the upstream water diversion at each moment in the preset time period are collected. The data can be collected in real time by sensors installed on the water flow pipeline, or obtained from a historical database. Based on the collected historical water flow information of the upstream water diversion, the flow change curve and pressure change curve of the upstream water diversion are drawn respectively. The curve can intuitively show the changing trend of the flow and pressure of the upstream water diversion over time. The flow change curve, pressure change curve of the target water diversion, and the flow change curve, pressure change curve and target pipeline information of the upstream water diversion are input into the preset flow pressure prediction model. The preset flow pressure prediction model is a trained machine learning model or mathematical model, which can predict the current water flow prediction information of the target water diversion according to the input information. By running the preset flow and pressure prediction model, the current water flow prediction information of the target water diversion is obtained, including the predicted flow and predicted pressure. By comprehensively considering the information of the upstream water diversion, historical water flow information and target pipeline information, the operating status of the water flow system can be more comprehensively understood. It helps to improve the accuracy of the prediction model and make the prediction results closer to the actual situation. Real-time monitoring and prediction of water flow information helps to timely discover and solve potential water flow problems, such as pipeline leakage, pressure abnormalities, etc. Enhance the stability of the entire water flow system and reduce the probability of failure.

[0055] In a possible implementation of the embodiment of the present application, the training process of the preset flow pressure prediction model includes: Determine an upstream training flow rate of an upstream water diversion outlet, an upstream training pressure of an upstream water diversion outlet, a training time flow rate, and a training time pressure within a preset time period; Generate a training data set based on the upstream training flow and upstream training pressure; Input the training data set into the initial flow and pressure prediction model, and output the virtual flow and virtual pressure corresponding to the target water diversion outlet; calculate the virtual flow and the flow at the training time to obtain the flow loss; Calculate the virtual pressure and the pressure at the time of training to obtain the pressure loss; Calculate the target loss based on the flow loss and pressure loss; Based on the target loss, the initial flow pressure prediction model is trained to generate a preset flow pressure prediction model.

[0056] In an embodiment of the present application, the electronic device obtains the upstream training flow of the upstream water diversion of the target water diversion within the preset time, the upstream training pressure of the upstream water diversion, the training time flow and the training time pressure of the upstream water diversion, by accessing the database. The preset time is set according to the experimental data, the preset time period is the historical time period, the training time is each specific time point within the preset time period, the training time flow is the historical flow at a specific moment, and the training time pressure is the historical pressure at a specific moment. It should be noted that the training data set includes multiple groups of training data, and in each group of training data, the training time flow and training time pressure corresponding to each historical training moment are label information. Each group of training data corresponds to a historical training moment, and each group of training data includes: the target position information corresponding to the water diversion, the target pipeline information corresponding to the target pipeline from the upstream water diversion corresponding to the water diversion to the water diversion, the training time flow and training time pressure corresponding to the water diversion at the historical training moment, and the upstream training flow and upstream training water pressure corresponding to the upstream water diversion corresponding to the water diversion at the historical training moment. Among them, the training time flow and training time pressure corresponding to the water diversion at the historical training moment are label information. Then, the electronic device inputs each set of training data into the initial flow and pressure prediction network. The initial flow and pressure prediction network extracts features of the target position information, target pipeline information, upstream training flow and upstream training water pressure, and outputs the virtual flow and virtual pressure corresponding to each water outlet.

[0057] The electronic device can calculate the flow loss based on the virtual flow and the flow at the training moment using a preset loss function calculation method, and calculate the pressure loss based on the virtual pressure and the pressure at the training moment.

[0058] Among them, the preset loss function calculation method can be any one of the mean square error calculation method, the mean absolute error calculation method, and the cross entropy loss calculation method.

[0059] Then, the electronic device can obtain the weight values ​​corresponding to the flow loss and pressure loss. The flow loss and pressure loss are multiplied by the corresponding weight values ​​respectively, and then the target loss is calculated by adding them. Then, based on the target loss, the electronic device trains the parameters in the initial flow pressure prediction model to generate a preset flow pressure prediction model.

[0060] The preset flow pressure prediction model can be any one of a radial basis function (RBF) network, a feedforward neural network (FFNN), a convolutional neural network (CNN), a deconvolutional neural network (DN), a deep convolutional inverse graphics network (DCIGN), a generative adversarial network (GAN), a recurrent neural network (RNN), a long / short term memory network (LSTM), a deep residual network (DRN) and an extreme learning machine (ELM). The embodiment of the present application does not limit the preset flow pressure prediction model.

[0061] Specifically, the training data set is input into the initial flow and pressure prediction model, and the virtual flow and virtual pressure corresponding to the target water diversion outlet are output, including: The initial flow pressure prediction model is a time series prediction model; The training data set is input into the time series prediction model, and the time series prediction model uses a first autocorrelation function (ACF) and a first partial correlation function (PACF) to identify the upstream training flow and the upstream training pressure, and determine the initial first autoregressive term order, the initial first difference order, and the initial first moving average term order corresponding to the initial flow and pressure prediction model; The first autocorrelation function (ACF) is: in, is the sample mean of the training data set.

[0062] First partial correlation function (PACF): in, For k>1, ρ k is the first autofunction correlation value, is the first partial correlation function value of the k-order lag; based on the seasonal autocorrelation function (SACF) and the seasonal partial correlation function (SPACF), the upstream training flow and the upstream training pressure are identified to determine the order of the initial seasonal autoregressive term, the order of the initial seasonal difference term, the order of the initial seasonal moving average term, and the initial seasonal period; The seasonal autocorrelation function (SACF) is: Here, k is the seasonal lag and n is the length of the time series.

[0063] The seasonal partial correlation function (SPACF) is: in, Indicates that when y is known t-1 ,y t-2 ,…,y t-k+1 Under the condition, y t The conditional expectation of Indicates that when y is known t-k-1 ,y t-k-2 ,…,y t-2k+1 Under the condition, y t-k The conditional expectation of Based on the initial flow and pressure prediction model, based on the initial first autoregressive term order, the initial first difference order, the initial first moving average term order, the initial seasonal autoregressive term order, the initial seasonal difference order, the initial seasonal moving average term order, and the initial seasonal period, the virtual flow and the virtual pressure corresponding to the target water diversion outlet are output.

[0064] The embodiment of the present application can use this model to accurately predict the flow and pressure of the target water diversion outlet based on the flow and pressure data of the upstream water diversion outlet, as well as the flow and pressure data at the training time. Through continuous learning and optimization, the prediction accuracy of the model can be continuously improved.

[0065] A possible implementation of the embodiment of the present application is to determine the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the location information, including: Determine whether there is a water collection pool at the location corresponding to each water diversion outlet; Calculate the current initial flow rate and the historical initial flow rate of each water diversion outlet to obtain a first calculation result; Calculate the current initial pressure of each water diversion port and the historical initial pressure to obtain a second calculation result; If there is a water collection tank, the first calculation result is within the preset flow difference interval, and the second calculation result is within the preset pressure difference interval, the water diversion outlet is determined to be the target water diversion outlet, and the water flow information of the water diversion outlet is the target water diversion outlet water flow information.

[0066] In the embodiment of the present application, it is possible to check whether there is a water collection pool near the water diversion outlet by on-site investigation, or to determine whether there is a water collection pool near the water diversion outlet by a geographic information system (GIS). Since the main function of the water collection pool is to collect, store and balance water. Among them, before judging whether there is a water collection pool at the position corresponding to each water diversion outlet, it is judged whether each water diversion outlet has a hill, and whether the height difference between the position of the hill water collection pool and the ground is between 30m-100m. If there is a hill at the water diversion outlet, and the height difference between the hill water collection battery and the storefront is between 30m-100m, it is determined that there is a water collection pool at the water diversion outlet. It should be noted that the hilly terrain usually has a slope, so that water sources such as rainwater can flow naturally to low-lying areas. The water collection pool is built in an appropriate position on the hill, which can more effectively collect these naturally flowing water sources. In addition, the hilly terrain is also convenient for the design and construction of the water collection pool, because the natural slope of the terrain can be used to guide the water flow. For systems that need to adjust the flow, a deeper water collection pool can provide a larger adjustment space to cope with the challenges brought by flow changes.

[0067] In the water-lifting power generation system, the water volume and water quality of the water source may be unbalanced, especially in different time periods or production cycles, and the water volume may fluctuate greatly. If this unbalanced water flow is directly introduced into the power generation system, it may affect the stability and efficiency of the system. Therefore, a water collection tank is needed to store and balance the water volume to ensure that the power generation system can continuously and stably obtain the required water volume. In the water-lifting stage, water is lifted from a low position to a high position by certain means (such as water pumps, turbines, etc.), and a lot of energy is consumed in this process. The setting of the water collection tank can reduce this energy consumption to a certain extent, because it can store and lift the excess water in the process, making the water-lifting process more efficient and stable. At the same time, in the power generation stage, the water in the water collection tank can also be used as a stable input source to ensure that the turbine can rotate continuously and stably, thereby outputting stable electricity. Therefore, whether there is a water collection tank at the water diversion outlet plays a key role in the stability of the water-lifting power generation equipment.

[0068] The historical initial flow data of each water outlet is obtained through the database of the electronic device, and the current initial flow is obtained through the flow monitoring device corresponding to each water outlet. The difference between the current initial flow and the historical initial flow of each water outlet is calculated by difference operation or regression analysis, that is, the first calculation result. The calculation method of the second result is the same as that of the first result, so the embodiment of the present application will not be described in detail.

[0069] It should be noted that when the flow and pressure of the water diversion port are relatively stable and there is a reservoir near the water diversion port, the water-lifting power generation equipment can continue to output stably. Therefore, whether the water diversion port is the target water diversion port is determined based on three conditions: whether there is a water collection tank, whether the first calculation result is within the preset flow difference interval, and whether the second calculation result is within the preset pressure difference interval. The preset flow difference interval and the preset pressure difference interval can be set according to actual needs, and are usually determined based on historical data and experience.

[0070] If the water outlet meets the above three conditions, it is determined as the target water outlet. If the water outlet does not meet the conditions, further investigation and analysis are required to find out the possible problems and take corresponding measures to improve them. It is possible to accurately determine whether there is a water collection tank at the location corresponding to each water outlet, and calculate the difference between the current initial flow and the historical initial flow, as well as the difference between the current initial pressure and the historical initial pressure, and finally determine the target water outlet. This helps to optimize the operation and management of the water pipeline system and improve the utilization efficiency of water resources.

[0071] A possible implementation of the embodiment of the present application is to control the water-lifting and power-generating equipment at the target water-dividing outlet to lift water or generate electricity according to the water flow information of the target water-dividing outlet, including: Obtaining a preset flow range and a preset pressure range corresponding to the water-lifting power generation equipment corresponding to each target water diversion outlet; Compare the adjusted flow rate with the preset flow rate range; Compare the adjusted pressure with the preset pressure range; If the regulated flow rate is within the preset flow rate range, and the regulated pressure is within the preset pressure range, the water-lifting and power-generating equipment at the target water diversion outlet is controlled to lift water or generate electricity.

[0072] In an embodiment of the present application, a flow interval and a pressure interval are set in advance for the water-lifting and power generation equipment corresponding to each water diversion. These intervals can be set according to the design parameters of the equipment, historical operation data and actual needs. The flow and pressure data of each water diversion are monitored in real time, and these data can be collected by sensors and other equipment. The real-time monitored regulated flow is compared with the preset flow interval to determine whether the regulated flow is within the preset interval. Similarly, the real-time monitored regulated pressure is compared with the preset pressure interval to determine whether the regulated pressure is within the preset interval. If the regulated flow is within the preset flow interval and the regulated pressure is within the preset pressure interval, the water-lifting and power generation equipment of the target water diversion is controlled according to actual needs to carry out water lifting or power generation. If the regulated flow or regulated pressure exceeds the preset interval, corresponding regulating measures are taken, such as adjusting the valve opening, changing the pump speed, etc., so that the flow and pressure return to the preset interval, and then the equipment is controlled. By real-time monitoring and comparing the flow and pressure data, it can be ensured that the water-lifting and power generation equipment operates in the best working state, thereby improving the efficiency of the equipment. Setting a preset interval can prevent the equipment from operating under extreme working conditions, thereby avoiding equipment damage or failure, and ensuring the safety of the equipment. By controlling the operation of equipment based on real-time flow and pressure data, the distribution and utilization of water resources can be adjusted more accurately, thereby optimizing the utilization efficiency of water resources.

[0073] In a possible implementation manner of the embodiment of the present application, the method further includes: Obtain the plant species in the area corresponding to each water diversion point and the current soil moisture content in each area; Determine the preset soil moisture content for each area based on plant species; Compare the current moisture content of each area with the preset soil moisture content; If the current soil moisture content is less than the preset soil moisture content, the water-lifting power generation equipment is controlled to pump water; If the current soil moisture content is greater than the preset soil moisture content, the water-lifting power generation equipment is controlled to generate electricity.

[0074] In the embodiment of the present application, the plant species information in the corresponding area of ​​each water diversion port is obtained by field investigation, data query, etc. The current soil moisture content of each area is measured using a soil moisture measuring instrument (such as a drying method, a tensiometer method, a resistance method, etc.). Based on the growth requirements and soil characteristics of the plant species, the preset soil moisture content corresponding to each area is determined. This usually requires consideration of factors such as the growth cycle of the plant, the water absorption capacity of the root system, the soil texture, and the water retention performance. The preset soil moisture content can be set to a range value to adapt to changes in different seasons and climatic conditions. The current soil moisture content of each area is compared with the preset soil moisture content to determine whether the current soil moisture content meets the growth requirements of the plant. If the current soil moisture content is less than the preset soil moisture content, the water-lifting power generation equipment is controlled to perform a water-lifting operation to replenish soil moisture and meet the growth requirements of the plant. If the current soil moisture content is greater than the preset soil moisture content, the water-lifting power generation equipment is controlled to perform a power generation operation, and the excess water resources are used for power generation to achieve effective utilization of water resources. By real-time monitoring of soil moisture content and controlling the operation of water-lifting power generation equipment, precise irrigation can be achieved to avoid over-irrigation and water waste. This helps save water resources and improve irrigation efficiency. Ensuring that the soil moisture content is within an appropriate range helps the normal growth and water absorption capacity of plant roots, thereby promoting the healthy growth of plants. When the soil moisture content is too high, the effective use of water resources can be achieved by controlling the water-lifting power generation equipment to perform power generation operations. It helps to convert excess water resources into electrical energy and improve the comprehensive utilization efficiency of water resources. The solution combines technical means such as real-time monitoring, data analysis and intelligent control to achieve intelligent management of water diversion outlets and soil moisture content. It helps to reduce manual management costs and improve management efficiency.

[0075] The above embodiment introduces a water-lifting and power generation method based on flow and pressure monitoring from the perspective of method flow. The following embodiment introduces a water-lifting and power generation device 20 based on flow and pressure monitoring from the perspective of a virtual module or virtual unit. For details, please see the following embodiment.

[0076] The present application embodiment provides a water pumping power generation device 20 based on flow and pressure monitoring, such as Figure 2 As shown, the device 20 of the water-lifting power generation device based on flow and pressure monitoring may specifically include: An information acquisition module 21 is configured to acquire location information and historical initial water flow information of at least one water diversion outlet of a water pipeline, wherein the location information includes the topography of the water diversion outlet, and the historical initial water flow information includes the historical initial flow rate and the historical initial pressure of at least one water diversion outlet; A target water diversion determining module 22 determines the target water diversion based on the location information of each water diversion and the historical initial water flow information; An information determination module 23 is used to determine the current initial water flow information of the target water diversion port, where the current initial water flow information includes the current initial pressure of the target water diversion port and the current initial flow rate of the target water diversion port; The information prediction module 24 is used to obtain the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, and the current water flow prediction value includes the current flow prediction value and the current pressure prediction value; The target information determination module 25 is used to determine the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the water diversion outlet position information, and the target water diversion outlet water flow information includes the target water diversion outlet regulated flow rate and the target water diversion outlet regulated pressure; The control module 26 is used to control the water-lifting and power-generating equipment at the target water-dividing outlet to lift water or generate electricity according to the water flow information of the target water-dividing outlet.

[0077] In a possible implementation of the embodiment of the present application, when the information determination module 22 obtains the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, it is specifically used to: Determine the historical initial pressure and historical initial flow rate at each water diversion outlet at each moment within a preset time period; Taking each moment in the preset time period as the horizontal coordinate and the initial pressure corresponding to each moment as the vertical coordinate, a pressure change curve of the target water diversion outlet is established; Taking each moment in the preset time period as the horizontal coordinate and the historical initial flow corresponding to each moment as the vertical coordinate, a flow change curve of the target water diversion outlet is established; Based on the flow change curve, determine the current flow prediction value of the target water diversion outlet; Based on the pressure change curve, the current pressure prediction value of the target water diversion outlet is determined.

[0078] In a possible implementation of the embodiment of the present application, when the information determination module 23 obtains the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, it is specifically used to: Determine the upstream water diversion port information corresponding to the target water diversion port, the upstream water diversion port information includes the location of the upstream water diversion port, the target pipeline between the upstream water diversion port and the target water diversion port, and the target pipeline information, wherein the target pipeline information includes at least one of the length, diameter, material and leakage degree of the target pipeline; Determine the historical water flow information of the upstream water diversion according to the target water diversion and the upstream water diversion information, wherein the historical water flow information of the upstream water diversion includes the flow rate of the upstream water diversion at each moment within a preset time period of the upstream water diversion and the pressure of the upstream water diversion; Based on the preset time period, the flow rate of the upstream water diversion port and the pressure of the upstream water diversion port, respectively determine the flow rate change curve of the upstream water diversion port and the pressure change curve of the upstream water diversion port; The flow change curve of the target water diversion port, the pressure change curve of the target water diversion port, the flow change curve of the upstream water diversion port, the pressure change curve of the upstream water diversion port and the target pipeline information are input into the preset flow pressure prediction model to obtain the current water flow prediction information of the target water diversion port.

[0079] In a possible implementation of the embodiment of the present application, the information determination module 23 is specifically used to: Determine an upstream training flow rate of an upstream water diversion outlet, an upstream training pressure of an upstream water diversion outlet, a training time flow rate, and a training time pressure within a preset time period; Generate a training data set based on the upstream training flow and upstream training pressure; Input the training data set into the initial flow and pressure prediction model, and output the virtual flow and virtual pressure corresponding to the target water diversion outlet; calculate the virtual flow and the flow at the training time to obtain the flow loss; Calculate the virtual pressure and the pressure at the time of training to obtain the pressure loss; Calculate the target loss based on the flow loss and pressure loss; Based on the target loss, the initial flow pressure prediction model is trained to generate a preset flow pressure prediction model.

[0080] In a possible implementation of the embodiment of the present application, the target information determination module 25 is specifically used to determine the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the position information: Determine whether there is a water collection pool at the location corresponding to each water diversion outlet; Calculate the current initial flow rate and the historical initial flow rate of each water diversion outlet to obtain a first calculation result; Calculate the current initial pressure of each water diversion port and the historical initial pressure to obtain a second calculation result; If there is a water collection tank, the first calculation result is within the preset flow difference interval, and the second calculation result is within the preset pressure difference interval, the water diversion port is determined to be the target water diversion port, and the water flow information of the water diversion port is the target water diversion port water flow information.

[0081] In a possible implementation of the embodiment of the present application, the control module 26 is specifically used to: Obtaining a preset flow range and a preset pressure range corresponding to the water-lifting power generation equipment corresponding to each target water diversion outlet; Compare the adjusted flow rate with the preset flow rate range; Compare the adjusted pressure with the preset pressure range; If the regulated flow rate is within the preset flow rate range, and the regulated pressure is within the preset pressure range, the water-lifting and power-generating equipment at the target water diversion outlet is controlled to lift water or generate electricity.

[0082] In a possible implementation of the embodiment of the present application, the device 20 further includes: The soil moisture content acquisition module is used to obtain the plant species in the area corresponding to each water diversion point and the current soil content in each area; A preset soil moisture content determination module is used to determine the preset soil moisture content corresponding to each area based on plant species; Moisture content comparison module, used to compare the current moisture content of each area with the preset soil moisture content; The first judgment module is used to control the water-lifting power generation equipment to pump water if the current soil moisture content is less than the preset soil moisture content; the second judgment module is used to control the water-lifting power generation equipment to generate electricity if the current soil moisture content is greater than the preset soil moisture content.

[0083] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0084] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0085] Processor 301 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0086] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0087] The memory 303 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0088] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0089] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0090] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0091] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0092] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A water pumping and power generation method based on flow and pressure monitoring, characterized in that: include: Acquire location information of at least one water diversion outlet of a water pipeline and historical initial water flow information, wherein the location information of the water diversion outlet includes the terrain of the water diversion outlet and the height difference of the water diversion outlet, and the historical initial water flow information includes the historical initial flow rate and the historical initial pressure of the at least one water diversion outlet; Determine the target water diversion outlet based on the location information of each water diversion outlet and the historical initial water flow information; Determine the current initial water flow information of the target water diversion port, wherein the current initial water flow information includes the current initial pressure of the target water diversion port and the current initial flow rate of the target water diversion port; According to the historical initial water flow information and the current initial water flow information, current water flow prediction information of the target water diversion outlet is obtained, wherein the current water flow prediction value includes a current flow prediction value and a current pressure prediction value; Based on the current flow prediction value, the historical initial water flow information and the water diversion outlet position information, the target water diversion outlet water flow information is determined, and the target water diversion outlet water flow information includes the target water diversion outlet regulated flow rate and the target water diversion outlet regulated pressure; according to the target water diversion outlet water flow information, the water-lifting and power generation equipment of the target water diversion outlet is controlled to lift water or generate electricity.

2. A method for pumping water for power generation based on flow and pressure monitoring according to claim 1, characterized in that: According to the historical initial water flow information and the current initial water flow information, the current water flow prediction information of the target water diversion outlet is obtained, including: determining the historical initial pressure and the historical initial flow rate at each water diversion outlet at each moment within a preset time period; Taking each moment in the preset time period as the abscissa and the historical initial pressure corresponding to each moment as the ordinate, a pressure change curve of the target water diversion outlet is established; Taking each moment in the preset time period as the abscissa and the historical initial flow rate corresponding to each moment as the ordinate, a flow rate variation curve of the target water diversion outlet is established; Based on the flow change curve, determining a current flow prediction value of the target water diversion outlet; Based on the pressure variation curve, a predicted value of the current pressure of the target water diversion outlet is determined.

3. A method for pumping water for power generation based on flow and pressure monitoring according to claim 2, characterized in that: The step of obtaining the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information further includes: Determine the upstream water diversion port information corresponding to the target water diversion port, the upstream water diversion port information includes the location of the upstream water diversion port, the target pipeline between the upstream water diversion port and the target water diversion port, and the target pipeline information, wherein the target pipeline information includes at least one of the length, diameter, material and leakage degree corresponding to the target pipeline; Determine the historical water flow information of the upstream water diversion according to the target water diversion and the upstream water diversion information, wherein the historical water flow information of the upstream water diversion includes the upstream water diversion flow rate and the upstream water diversion pressure at each moment within a preset time period of the upstream water diversion; Based on the preset time period, the flow rate of the upstream water diversion port and the pressure of the upstream water diversion port, respectively determine the flow rate change curve of the upstream water diversion port and the pressure change curve of the upstream water diversion port; The flow change curve of the target water diversion port, the pressure change curve of the target water diversion port, the flow change curve of the upstream water diversion port, the pressure change curve of the upstream water diversion port and the target pipeline information are input into a preset flow pressure prediction model to obtain the current water flow prediction information of the target water diversion port.

4. A method for pumping water for power generation based on flow and pressure monitoring according to claim 3, characterized in that: The training process of the preset flow pressure prediction model includes: Determine the upstream training flow, upstream training pressure, training time flow and training time pressure of the upstream water diversion outlet within the preset time period; generating a training data set based on the upstream training flow and the upstream training pressure; Inputting the training data set into the initial flow and pressure prediction model, and outputting the virtual flow and virtual pressure corresponding to the target water diversion outlet; Calculate the virtual flow and the flow at the training time to obtain the flow loss; Calculate the virtual pressure and the pressure at the training time to obtain a pressure loss; Calculating according to the flow loss and the pressure loss to obtain a target loss; Based on the target loss, the initial flow pressure prediction model is trained to generate the preset flow pressure prediction model.

5. A method for pumping water for power generation based on flow and pressure monitoring according to claim 1, characterized in that: The step of determining the target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the location information includes: Determine whether there is a water collection tank at the location corresponding to each water diversion outlet; Calculate the current initial flow rate of each water diversion outlet and the historical initial flow rate to obtain a first calculation result; Calculating the current initial pressure of each water diversion port and the historical initial pressure to obtain a second calculation result; If there is a water collection tank, the first calculation result is within a preset flow difference interval, and the second calculation result is within a preset pressure difference interval, the water diversion port is determined to be the target water diversion port, and the water flow information of the water diversion port is the target water diversion port water flow information.

6. A method for pumping water for power generation based on flow and pressure monitoring according to claim 1, characterized in that: The step of controlling the water-lifting and power-generating equipment at the target water-dividing outlet to lift water or generate electricity according to the water flow information of the target water-dividing outlet comprises: Obtaining a preset flow range and a preset pressure range corresponding to the water-lifting power generation equipment corresponding to each target water diversion outlet; Comparing the adjusted flow rate with the preset flow rate interval; comparing the adjusted pressure with the preset pressure range; If the regulated flow is within the preset flow range, and the regulated pressure is within the preset pressure range, the water-lifting and power-generating equipment at the target water diversion outlet is controlled to lift water or generate electricity.

7. A method for pumping water for power generation based on flow and pressure monitoring according to claim 1, characterized in that: The method further comprises: Obtaining plant species in the area corresponding to each water diversion port and the current soil moisture content in each area; Based on the plant species, determining a preset soil moisture content corresponding to each area; Comparing the current moisture content of each area with the preset soil moisture content; If the current soil moisture content is less than the preset soil moisture content, controlling the water-lifting power generation equipment to pump water; If the current soil moisture content is greater than the preset soil moisture content, the water-lifting power generation equipment is controlled to generate electricity.

8. A method for pumping water for power generation based on flow and pressure monitoring according to claim 4, characterized in that: The step of inputting the training data set into the initial flow and pressure prediction model and outputting the virtual flow and virtual pressure corresponding to the target water diversion outlet comprises: The initial flow pressure prediction model is a time series prediction model; The training data set is input into the time series prediction model, and the time series prediction model uses a first autocorrelation function (ACF) and a first partial correlation function (PACF) to identify the upstream training flow and the upstream training pressure, and determine the initial first autoregressive term order, the initial first difference order, and the initial first moving average term order corresponding to the initial flow and pressure prediction model; The first autocorrelation function (ACF) is: in, is the sample mean of the training data set; First partial correlation function (PACF): in, For k>1, ρ k is the first autofunction correlation value, is the first partial correlation function value of the k-order lag; based on the seasonal autocorrelation function (SACF) and the seasonal partial correlation function (SPACF), the upstream training flow and the upstream training pressure are identified to determine the order of the initial seasonal autoregressive term, the order of the initial seasonal difference term, the order of the initial seasonal moving average term, and the initial seasonal period; The seasonal autocorrelation function (SACF) is: Where k is the seasonal lag and n is the length of the time series; The seasonal partial correlation function (SPACF) is: in, Indicates that when y is known t-1 ,y t-2 ,…,y t-k+1 Under the condition, y t The conditional expectation of Indicates that when y is known t-k-1 ,y t-k-2 ,…,y t-2k+1 Under the condition, y t-k The conditional expectation of Based on the initial flow and pressure prediction model, based on the initial first autoregressive term order, the initial first difference order, the initial first moving average term order, the initial seasonal autoregressive term order, the initial seasonal difference order, the initial seasonal moving average term order, and the initial seasonal period, the virtual flow and the virtual pressure corresponding to the target water diversion outlet are output.

9. A water-lifting power generation device based on flow and pressure monitoring, characterized in that: include: An information acquisition module, which acquires the location information of at least one water diversion outlet of the water pipeline and the historical initial water flow information, wherein the location information includes the water diversion outlet topography, and the historical initial water flow information includes the historical initial flow rate and the historical initial pressure of the at least one water diversion outlet; A target water diversion determining module, which determines the target water diversion based on the location information of each water diversion and the historical initial water flow information; an information determining module, which is used to determine the current initial water flow information of the target water diversion, wherein the current initial water flow information includes the current initial pressure of the target water diversion and the current initial flow of the target water diversion; An information prediction module, used to obtain the current water flow prediction information of the target water diversion outlet according to the historical initial water flow information and the current initial water flow information, wherein the current water flow prediction value includes the current flow prediction value and the current pressure prediction value; A target information determination module, configured to determine target water diversion outlet water flow information based on the current water flow prediction value, the historical initial water flow information and the water diversion outlet position information, wherein the target water diversion outlet water flow information includes a target water diversion outlet regulated flow rate and a target water diversion outlet regulated pressure; The control module is used to control the water-lifting and power-generating equipment of the target water-dividing outlet to lift water or generate electricity according to the water flow information of the target water-dividing outlet.

10. An electronic device, characterized in that: It includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, and the at least one application is used to execute the water pumping and power generation method based on flow and pressure monitoring according to any one of claims 1 to 8.

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