Pump station flow control methods, devices, electronic equipment and storage media

Abstract

This invention discloses a pump station flow control method, relating to the fields of water supply systems and water conservancy dispatching technology. The method includes: constructing an objective function based on the flow rate, head, and efficiency of each pump station in the water supply system; wherein the objective function reflects the minimum energy consumption of each pump station during the water diversion process; constructing water diversion volume constraints for each pump station based on the water supply volume of each branch in the water supply system, and constructing efficiency constraints for each pump station based on its minimum efficiency; and iteratively calculating the objective function based on the water diversion volume constraints and efficiency constraints to obtain the desired flow rate of each pump station. The technical solution of this invention not only reduces the manpower and time costs incurred in the water diversion process of the water supply system and improves the management efficiency of pump station flow, but also avoids reliance on the experience of dispatchers, realizes the predictive perception of the operating conditions of the water supply system, and ensures the timeliness of water supply demand.

Description

Technical Field

[0001] This invention relates to the field of water supply systems and water conservancy scheduling technology, and in particular to a method, device, electronic equipment and storage medium for controlling the flow of a pumping station. Background Technology

[0002] As the power source of the water supply system, the energy consumption of the pumping station directly affects the water transfer cost of the water supply system. How to control the flow of the pumping station to complete the water transfer task has become an important part of the effective operation of the water supply system.

[0003] In existing technologies, the flow control of pumping stations is usually carried out by dispatchers who formulate corresponding dispatching plans based on historical dispatching records and real-time operating conditions. Specifically, the initial dispatching plan is first configured based on historical dispatching records, and then the dispatching plan is changed according to the real-time monitored operating conditions to cope with possible emergencies. In this way, the water transfer task is completed by controlling the flow of the pumping station.

[0004] However, this method of pump station flow control not only requires a lot of manpower and time costs and has low flow control efficiency, but also relies on the experience of dispatchers, and the flow values ​​often have large errors. In addition, the above-mentioned flow control method lacks foresight regarding the operating conditions of the water supply system and often fails to meet actual water transfer needs. Summary of the Invention

[0005] This invention provides a method, device, electronic equipment, storage medium, and computer program product for controlling the flow of a pumping station, in order to solve the problem of large flow control errors in pumping stations.

[0006] According to one aspect of the present invention, a method for controlling the flow rate of a pumping station is provided, comprising: An objective function is constructed based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein, the objective function reflects the minimum energy consumption of the water transfer process of each pumping station; Based on the water supply volume of each branch in the water supply system, water diversion constraints are constructed for each pumping station, and efficiency constraints are constructed for each pumping station based on its minimum efficiency. Based on the water diversion constraints and the efficiency constraints, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0007] The step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: obtaining the inflow of each reservoir based on the flow rate of each pumping station; calculating the water level of each reservoir based on the inflow, outflow, initial water volume, and natural evaporation of each reservoir; constructing reservoir water level constraints based on the water level, minimum water level, and maximum water level of each reservoir; and iteratively calculating the objective function based on the water diversion constraint, the efficiency constraint, and the reservoir water level constraint to obtain the expected flow rate of each pumping station.

[0008] The step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: obtaining the head difference between the outlet pool water level and the downstream reservoir water level based on the flow rate and hydraulic loss function of the pumping station, and obtaining the outlet pool water level based on the downstream reservoir water level and the head difference; constructing an outlet pool water level constraint based on the outlet pool water level, the lowest outlet pool water level, and the highest outlet pool water level of the pumping station; and iteratively calculating the objective function based on the water diversion constraint, the efficiency constraint, and the outlet pool water level constraint to obtain the expected flow rate of each pumping station.

[0009] The step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: obtaining an allocation strategy table for different pumping station total flow rates and heads based on the characteristic curves of individual pumps and an optimization algorithm; wherein the allocation strategy table includes the correlation between the pumping station total flow rate, head, and efficiency; obtaining the optimal efficiency matching the current pumping station total flow rate and current head through the allocation strategy table; and iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint, as well as the current pumping station total flow rate, current head, and optimal efficiency to obtain the expected flow rate of each pumping station.

[0010] The construction of the objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system specifically includes: constructing the objective function based on the flow rate, head, efficiency, and energy coefficient of each pumping station in the water supply system; wherein the energy coefficient is negatively correlated with redundant energy; the objective function reflects the minimum energy storage consumption of each pumping station during the water transfer process.

[0011] After iteratively calculating the objective function according to the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station, the method further includes: if the absolute value of the water level deviation between the actual value of the target water level and the corresponding expected water level is greater than or equal to a first preset threshold, or the absolute value of the water volume deviation between the water diversion volume of the target pumping station and the expected water diversion volume is greater than or equal to a second preset threshold, or the absolute value of the efficiency deviation between the average efficiency of the pumping station and the expected efficiency is greater than or equal to a third preset threshold, then iteratively calculating the objective function again according to the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station; wherein, the target water level includes at least one of the inlet pool water level, the outlet pool water level, and the reservoir water level.

[0012] According to another aspect of the present invention, a pump station flow control device is provided, comprising: The objective function acquisition module is used to construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein, the objective function reflects the minimum energy consumption of the water transfer process of each pumping station; The constraint acquisition module is used to construct water diversion constraints for each pumping station based on the water supply volume of each branch in the water supply system, and to construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station. The expected flow rate acquisition module is used to iteratively calculate the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the pump station flow control method according to any embodiment of the present invention.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the pump station flow control method according to any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the pump station flow control method described in any embodiment of the present invention.

[0016] The technical solution of this invention constructs an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system. This objective function reflects the minimum energy consumption of each pumping station during the water diversion process. Based on the water supply volume of each branch in the water supply system, water diversion volume constraints are constructed for each pumping station, and efficiency constraints are constructed based on the minimum efficiency of each pumping station. The objective function is iteratively calculated based on the water diversion volume constraints and efficiency constraints to obtain the expected flow rate of each pumping station. This not only reduces the manpower and time costs of the water diversion process in the water supply system and improves the management efficiency of pumping station flow, but also avoids reliance on the experience of dispatchers, enabling predictive awareness of the water supply system's operating conditions and ensuring the timeliness of water supply demand.

[0017] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of a pump station flow control method provided in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of a water supply system according to Embodiment 1 of the present invention; Figure 3 This is a flowchart of another pump station flow control method provided in Embodiment 2 of the present invention; Figure 4 This is a flowchart of another pump station flow control method provided in Embodiment 3 of the present invention; Figure 5 This is a flowchart of another pump station flow control method provided in Embodiment 4 of the present invention; Figure 6 This is a schematic diagram of the structure of a pump station flow control device according to Embodiment 5 of the present invention; Figure 7 This is a schematic diagram of the structure of an electronic device that implements the pump station flow control method of the present invention. Detailed Implementation

[0020] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0021] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0022] Example 1 Figure 1 This is a flowchart of a pump station flow control method provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where the pump station flow rate is calculated based on an objective function constructed with the goal of minimizing energy consumption. This method can be executed by a pump station flow control device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes: S101. Construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein the objective function reflects the minimum energy consumption of the water transfer process of each pumping station.

[0023] The water supply system in this embodiment of the invention includes N (N ≥ 1) pumping stations, M (M ≥ 1) reservoirs, pressurized pipelines connecting the pumping stations and reservoirs, and multiple branch outlets along the banks of the reservoirs; wherein, a branch outlet refers to a branch line extending from the main water supply pipeline, thereby supplying water to different areas; Figure 2 For example, reservoir A1 (the upstream reservoir of pumping station B) can serve as the source reservoir, which achieves self-pressurized water transport through gravity, that is, it transports water to the intake pool of the pumping station by gravity, or transports water through other means; pumping station B uses a motor to drive the water pump, which transports the water in the intake pool to the outlet pool through pipelines; the water in the outlet pool is transported to reservoir A2 (the downstream reservoir of pumping station B) through pressurized pipelines, and finally, through reservoir A2, the water is transported to various water distribution points.

[0024] Specifically, the reservoir in this embodiment of the invention may also include an elevated water tank; each pumping station may include one or more pumps; flow rate refers to the volume of water transported by the pumping station per unit time, measured in cubic meters per second (m³ / s). 3 / s); Head refers to the work done by a pump on a unit weight of water, that is, the total height to which the water is lifted, and is measured in meters (m), including the actual lifting height and hydraulic losses; Efficiency refers to the ratio of the pump station's output hydraulic power to its input electrical power, which reflects the pump station's energy utilization rate; The objective function constructed based on the flow rate, head, and efficiency of each pump station in the water supply system can be expressed in the following form: (Equation 1); in, This refers to the total energy consumption for water diversion, which is the total electrical energy consumed by each pumping station during the entire water diversion process. The number of time periods is used as an example. For instance, a single day is used as the calculation period for the expected flow rate. This means calculating and obtaining the daily water diversion plan for each pumping station, dividing the day into 24 time periods, with each time period lasting one hour. The number of pumping stations in the entire water supply system; The density of water; It is the acceleration due to gravity; For the first Pump station at the first Traffic volume during a specific time period; For the first Pump station at the first The lift during a given period; For the first Pump station at the first Efficiency during a given time period; For the first The duration of the time period; the objective function aims to minimize the total energy consumption of each pumping station during the daily water transfer process.

[0025] Optionally, in this embodiment of the invention, the step of constructing the objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system specifically includes: constructing the objective function based on the flow rate, head, efficiency, and power coefficient of each pumping station in the water supply system; wherein the power coefficient is negatively correlated with redundant power; and the objective function reflects the minimum energy storage consumption of each pumping station during the water diversion process.

[0026] Specifically, pumping stations can utilize redundant electrical energy to complete water diversion tasks during off-peak electricity demand periods, thus making rational use of excess power in the grid. If this excess power is not utilized, it will be stored or released directly, both of which involve energy loss. Therefore, choosing to perform water diversion tasks during periods of redundant power in the grid allows for full utilization of this excess energy and avoids energy waste. Furthermore, the energy efficiency coefficient is negatively correlated with the redundant power in the grid; that is, the more redundant power, the smaller the energy efficiency coefficient. Based on this, the objective function can also be expressed in the following form: (Equation 2); Where C represents the total water diversion cost; For the first The power coefficient of the nth pumping station during the time period; Formula 2 above indicates that the lower the energy consumption required for the water diversion process and the more redundant power in the power grid during the same period (i.e., the smaller the power coefficient), the more conducive it is for the pumping station to use the redundant power generated in the power grid to complete the water diversion task, and the less stored power consumed by the pumping station.

[0027] For example, if the total energy consumption of each pumping station is low under the expected flow rate of Scheme A, but the redundant power generated by the power grid during each water diversion period is less under this scheme, it actually requires more stored power. On the other hand, the total energy consumption of each pumping station is higher under the expected flow rate of Scheme B, but the redundant power generated by the power grid during each water diversion period is more under this scheme, so it does not actually require more stored power. Instead, it can complete the water diversion task by utilizing the redundant power in the power grid. Obviously, although the total energy consumption of each pumping station is higher under Scheme B, its utilization of redundant power is significantly better than that under Scheme A. Therefore, the total water diversion cost of Scheme B is less than that of Scheme A, which means that the expected flow rate of Scheme B actually consumes less stored power.

[0028] Specifically, the aforementioned electrical energy can be generated by various reservoirs in the water supply system using hydroelectric power generation technology and transmitted through the power grid, or it can be electrical energy from an external power transmission network. Based on this, an objective function constructed using the flow rate, head, efficiency, and energy coefficient of each pumping station in the water supply system improves the utilization rate of redundant electrical energy in the power grid for each pumping station, reduces energy consumption in the water transfer process, and thus saves on the consumption of stored electrical energy while ensuring that the pumping stations complete their water transfer tasks.

[0029] S102. Based on the water supply volume of each branch inlet in the water supply system, construct water diversion constraints for each pumping station, and construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station.

[0030] Taking daily water supply as an example, since the pumping process of the pumping station is actually to supply water to various branch outlets to meet the water needs of residents or industries in various areas, the location relationship between the branch outlets, reservoirs, and pumping stations can be used to determine which branch outlets each pumping station affects. Each pumping station affects the water supply of one or more branch outlets. Based on the water supply of the branch outlets affected by each pumping station, the sum of the water supply of each branch outlet is taken as the current daily planned pumping volume of the pumping station. Obviously, the daily pumping volume of each pumping station must be greater than or equal to its corresponding daily planned pumping volume to meet the daily water demand of each branch outlet. Therefore, the water diversion constraints of each pumping station constructed based on the water supply of each branch outlet in the water supply system can be expressed in the following form: (Equation 3); in, Number of time periods; This represents the flow rate of the pumping station in time period t. Let t be the duration of the t-th time period; This represents the planned pumping volume of the current pumping station, in cubic meters (m³). 3 Different pumping stations can correspond to different planned pumping volumes, which in turn correspond to different water diversion constraints.

[0031] Furthermore, the minimum efficiency of a pumping station refers to the lowest actual operating efficiency of the pumping station under specific operating conditions. When the pumping station is operating outside of its design conditions, the efficiency may decrease significantly. To avoid inefficient operation of the pumping station and improve its overall energy efficiency, a corresponding minimum efficiency can be configured for each pumping station based on its equipment type and working environment. Therefore, the efficiency constraints for each pumping station based on its minimum efficiency can be expressed in the following form: (Equation 4); in, For the current efficiency of the pumping station, The current minimum efficiency of the pumping station.

[0032] S103. Based on the water diversion constraint and the efficiency constraint, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0033] By using intelligent optimization algorithms (e.g., genetic algorithms), within a given range of constraints, namely various water diversion constraints and efficiency constraints, the current flow rate, along with the corresponding head and efficiency, is substituted into the objective function for simulation calculation. Through continuous iteration, the optimal solution for the flow rate is sought. This optimal solution is the flow rate value corresponding to each pumping station at each time period of the day. This result can minimize the total energy consumption of each pumping station's daily pumping process while meeting the water diversion task requirements.

[0034] For the current flow rate, the matching head can be obtained based on the flow-head characteristic curves of each pump. The flow-head curves reflect a negative correlation between flow rate and head, meaning that the head decreases as the flow rate increases. Simultaneously, the matching efficiency can be obtained based on the flow-efficiency characteristic curves of each pump. The flow-efficiency characteristic curves reflect the trend of efficiency first increasing and then decreasing with increasing flow rate, forming a peak-shaped curve. This curve has a maximum efficiency point, and the area around this maximum efficiency point is within the high-efficiency operating range. This high-efficiency operating range is the optimal operating area for the pump, and this maximum efficiency point can be used as the efficiency matched to the current flow rate.

[0035] Optionally, in this embodiment of the invention, the step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: obtaining an allocation strategy table for pumping stations under different flow rates and heads based on the characteristic curves of individual pumps and an optimization algorithm; wherein the allocation strategy table includes the correlation between the total flow rate, head, and efficiency of the pumping station; obtaining the optimal efficiency matching the current total flow rate and current head of the pumping station through the allocation strategy table; and iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint, as well as the current total flow rate, current head, and optimal efficiency of the pumping station to obtain the expected flow rate of each pumping station.

[0036] Specifically, the pump head is often not a fixed value, but a dynamic superposition of static head (determined by the relationship curve between the water level and storage capacity of the downstream reservoir) and hydraulic loss (determined by the hydraulic loss function of the water transmission pipeline). Furthermore, the change in pumping volume needs to be constrained by the water balance relationship. Based on this, the above dynamic factors under the current flow rate can be simulated and calculated using existing hydraulic models, so as to obtain the pump head corresponding to the current flow rate based on the calculation results. The pump characteristic curve, namely the head-flow characteristic curve, reflects the head that the pump can provide under different flow rates.

[0037] After obtaining the current flow rate and current head, and under the premise of satisfying the above flow rate and head, the overall efficiency of the pumping station is maximized by adjusting the flow rate distribution and speed distribution of each pump. Specifically, intelligent optimization algorithms, such as genetic algorithms and gradient descent methods, can be used to calculate the flow rate distribution value and speed control value of each pump as input parameters, thereby generating a three-dimensional mapping table (i.e., flow rate-head-efficiency distribution table). Then, the optimal control scheme under different operating conditions (i.e., the combination of flow rate and head) can be pre-calculated through the three-dimensional mapping table. Among them, the distribution strategy table reflects the correlation between the total flow rate, total head, and total efficiency of the pumping station.

[0038] Therefore, based on the current flow rate and head, the optimal efficiency of the pumping station can be obtained by querying the mapping table. The above three-dimensional mapping table can be represented in the following form; (Equation 5); in, This represents the flow-head-efficiency allocation table generated by the configuration, where Q is the flow rate of the pump station and H is the head of the pump station. The efficiency of the pumping station is actually its optimal efficiency. Based on this, a pre-configured allocation strategy table is used to query and obtain the matching optimal efficiency under the current operating conditions, further improving the accuracy of the expected flow calculation results for each pumping station.

[0039] The technical solution of this invention constructs an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system. This objective function reflects the minimum energy consumption of each pumping station during the water diversion process. Based on the water supply volume of each branch in the water supply system, water diversion volume constraints are constructed for each pumping station, and efficiency constraints are constructed based on the minimum efficiency of each pumping station. The objective function is iteratively calculated based on the water diversion volume constraints and efficiency constraints to obtain the expected flow rate of each pumping station. This not only reduces the manpower and time costs of the water diversion process in the water supply system and improves the management efficiency of pumping station flow, but also avoids reliance on the experience of dispatchers, enabling predictive awareness of the water supply system's operating conditions and ensuring the timeliness of water supply demand.

[0040] Example 2 Figure 3 This is a flowchart of a pump station flow control method provided in Embodiment 2 of the present invention. The relationship between this embodiment and the above embodiments is that a reservoir water level constraint condition is configured for the pump station flow calculation result, such as... Figure 3 As shown, the method specifically includes: S201. Construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein the objective function reflects the minimum energy consumption of the water transfer process of each pumping station.

[0041] S202. Based on the water supply volume of each branch inlet in the water supply system, construct water diversion constraints for each pumping station, and construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station.

[0042] S203. Obtain the inflow of each reservoir based on the flow rate of each pumping station.

[0043] The inflow to each reservoir is actually equal to the total pumping volume of one or more pumping stations upstream of it. Therefore, the inflow to each reservoir for the current time period can be calculated based on the flow rate of each pumping station and the duration of each time period. .

[0044] S204. Calculate the water level of each reservoir based on the inflow, outflow, initial water volume, and natural evaporation of each reservoir.

[0045] Current outflow of water from each reservoir The initial water volume for the current time period can be obtained through sensor detection. This is the remaining water volume at the end of the previous period, which can be directly obtained from the calculation results at the end of the previous period; The natural evaporation rate can be pre-calculated based on weather and environmental information for each reservoir. Therefore, the water volume of each reservoir can be calculated using the following method, taking into account the inflow, outflow, initial water volume, and natural evaporation rate. : (Equation 6); Then, based on the physical structure of each reservoir, the relationship function between water level and water volume for each reservoir is constructed as follows: (Equation 7); in, This represents the water level of the reservoir at the end of the current time period.

[0046] S205. Based on the water level, minimum water level and maximum water level of each reservoir, construct the reservoir water level constraint conditions.

[0047] Different reservoirs have different minimum and maximum water levels due to their varying capacities and functions. Therefore, the water level constraints for each reservoir, based on its specific water level, can be expressed as follows: (Equation 8); in, This indicates the current lowest water level in the reservoir; This indicates the current highest water level in the reservoir.

[0048] S206. Based on the water diversion constraint, the efficiency constraint, and the reservoir water level constraint, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0049] Based on this, the objective function can be iteratively calculated according to the constraints of water diversion volume, efficiency, and reservoir water level to obtain the expected flow rate of each pumping station. Thus, by configuring the water level constraints of each reservoir, the water level of each reservoir is kept within a suitable range while ensuring that the total energy consumption of each pumping station in the water diversion process is minimized. This ensures that the reservoir water level is higher than the minimum water level, so that the pumping station can continuously pump enough water to meet the water demand of each branch point, while also ensuring that the reservoir water level is lower than the maximum water level to avoid excessive water storage and potential safety hazards.

[0050] The technical solution of this invention involves obtaining the inflow of each reservoir based on the flow rate of each pumping station; calculating the water level of each reservoir based on the inflow, outflow, initial water volume, and natural evaporation; constructing reservoir water level constraints based on the water level, minimum water level, and maximum water level of each reservoir; and iteratively calculating the objective function based on the water diversion constraints, efficiency constraints, and reservoir water level constraints to obtain the expected flow rate of each pumping station. This ensures that the reservoir water level is higher than the minimum water level, enabling the pumping stations to continuously extract sufficient water to meet the water demand of each branch point, while also ensuring that the reservoir water level is lower than the maximum water level, avoiding excessive water storage that could lead to safety hazards.

[0051] Example 3 Figure 4 This is a flowchart of a pump station flow control method provided in Embodiment 3 of the present invention. The relationship between this embodiment and the above embodiments is that the water level constraint condition of the outlet pool is configured for the pump station flow calculation result, such as... Figure 4 As shown, the method specifically includes: S301. Construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein the objective function reflects the minimum energy consumption of the water transfer process of each pumping station.

[0052] S302. Based on the water supply volume of each branch inlet in the water supply system, construct water diversion constraints for each pumping station, and construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station.

[0053] S303. Based on the flow rate and hydraulic loss function of the pumping station, obtain the head difference between the water level of the outlet pool of the pumping station and the water level of the downstream reservoir, and obtain the water level of the outlet pool based on the water level of the downstream reservoir and the head difference.

[0054] Under stable operating conditions, the output flow rate of the pumping station must be consistent with the flow rate of the pressurized pipeline between the pumping station and the reservoir; otherwise, it will lead to system imbalance (e.g., sudden changes in pipeline pressure or pump idling). Therefore, the flow rate of the pressurized pipeline between the pumping station and the reservoir must be equal to the flow rate of the pumping station. The hydraulic loss function is a mathematical expression for the energy loss of water in the pressurized pipeline caused by factors such as friction and local resistance. In this embodiment of the invention, the hydraulic loss function can be the Bernoulli energy equation, which reflects the functional relationship between the flow rate of the pressurized pipeline and the head difference (i.e., water level difference) between the water level in the pumping station's outlet pool and the water level in the downstream reservoir. It can be expressed in the following form: (Equation 9); Where Q represents the flow rate of the pressurized pipeline, and its value is equal to the flow rate of the pumping station; Δh represents the head difference between the water level in the outlet pool of the pumping station and the water level in the downstream reservoir. This represents the hydraulic loss function of flow rate and head difference in a pressurized pipeline.

[0055] Therefore, based on the pump station's flow rate and hydraulic loss function, the head difference between the pump station's outlet pool water level and the downstream reservoir water level can be obtained; then, based on the downstream reservoir water level and head difference, the pump station's outlet pool water level can be calculated by summing the results; in particular, for the hydraulic loss function, it is necessary to periodically screen and obtain stable pipeline operation data in order to calibrate the hydraulic loss function using this stable operation data, so as to ensure that the hydraulic loss function matches the actual operating environment.

[0056] S304. Based on the water level of the outlet pool, the lowest water level of the outlet pool, and the highest water level of the outlet pool of the pumping station, construct the water level constraint conditions of the outlet pool.

[0057] Based on the water level, minimum water level, and maximum water level in the outlet pool of the pumping station, a water level constraint condition for the outlet pool is constructed. This constraint condition can be expressed in the following form: ; in, This indicates the water level in the outlet pool of the pumping station; and These are the lowest and highest water levels in the pump station's outlet pool, respectively.

[0058] S305. Based on the water diversion constraint, the efficiency constraint, and the outlet pool water level constraint, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0059] Therefore, by configuring the highest water level in the outlet pool to be lower than the highest water level in the outlet pool, normal drainage is ensured under extreme environments such as floods, while avoiding backflow in the pipeline due to excessively high water levels. At the same time, by configuring the lowest water level in the outlet pool to be higher than the lowest water level in the outlet pool, dry burning and cavitation of the pump station are prevented, ensuring the safety of the pump station equipment.

[0060] In addition, water level constraints can be constructed based on the water level in the inlet pool, the minimum water level in the inlet pool, and the maximum water level in the inlet pool of the pumping station, so that the water level in the inlet pool of the pumping station is greater than or equal to the minimum water level in the inlet pool and less than or equal to the maximum water level in the inlet pool. Then, based on the water diversion constraints, efficiency constraints, outlet pool water level constraints, and inlet pool constraints, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0061] The technical solution of this invention obtains the head difference between the outlet water level of the pumping station and the downstream reservoir water level based on the pumping station's flow rate and hydraulic loss function, and obtains the outlet water level based on the downstream reservoir water level and head difference. It then constructs outlet water level constraints based on the pumping station's outlet water level, minimum outlet water level, and maximum outlet water level. Finally, it iteratively calculates the objective function based on the water diversion constraints, efficiency constraints, and outlet water level constraints to obtain the expected flow rate of each pumping station. By configuring outlet water level constraints, normal drainage under extreme environments such as floods is ensured, preventing backflow in pipelines due to excessively high water levels, while also preventing dry burning and cavitation in the pumping station, thus ensuring the safety of the pumping station equipment.

[0062] Example 4 Figure 5 This is a flowchart of a pump station flow control method provided in Embodiment 4 of the present invention. The relationship between this embodiment and the above embodiments is that, after obtaining the expected flow rate of each pump station, if an abnormality is detected, the expected flow rate needs to be recalculated, such as... Figure 5 As shown, the method specifically includes: S401. Construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein the objective function reflects the minimum energy consumption of the water transfer process of each pumping station.

[0063] S402. Based on the water supply volume of each branch inlet in the water supply system, construct water diversion constraints for each pumping station, and construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station.

[0064] S403. Based on the water diversion constraint and the efficiency constraint, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0065] Specifically, the objective function can be iteratively calculated based on constraints such as water diversion volume, efficiency, reservoir water level, outlet water level, and inlet water level to obtain the expected flow rate of each pumping station.

[0066] S404. If the absolute value of the water level deviation between the actual value of the target water level and the corresponding expected water level is greater than or equal to a first preset threshold, or the absolute value of the water volume deviation between the water diversion volume of the target pumping station and the expected water diversion volume is greater than or equal to a second preset threshold, or the absolute value of the efficiency deviation between the average efficiency of the pumping station and the expected efficiency is greater than or equal to a third preset threshold, the objective function is iteratively calculated again according to the water diversion volume constraint and the efficiency constraint to obtain the expected flow rate of each pumping station; wherein, the target water level includes at least one of the inlet pool water level, the outlet pool water level, and the reservoir water level.

[0067] After calculating the expected flow rate for each pumping station, if no abnormalities occur, the flow rate of each pumping station at each time period of the day can be maintained according to the calculated expected flow rate. If abnormalities occur, the objective function needs to be iterated again to obtain the expected flow rate of each pumping station, so as to deal with the sudden situation that occurs on the day by adjusting the flow rate of each pumping station in subsequent time periods.

[0068] The target water level includes one or more of the inlet pool water level, outlet pool water level, and reservoir water level, while the desired water level refers to the expected value that each water level should reach under the calculated desired flow rate. If the absolute value of the water level deviation between the pump station's inlet pool water level, outlet pool water level, and reservoir water level and the calculated desired water level is too large during the current period, the scheduling plan is updated on a rolling basis, which means that the objective function is iteratively calculated again. This is to prevent overflow when the water level is too high and to prevent pumping out when the water level is too low, so as to ensure project safety and stable water supply.

[0069] The target pumping station can be the first pumping station in the water supply system or any pumping station. The water diversion volume can include the water volume already diverted in the current time period and / or the water volume already diverted on the same day. The expected water diversion volume refers to the water volume that each pumping station should achieve in each time period or at any time on the same day under the calculated expected flow rate. If the absolute value of the water volume deviation between the pumping station's water diversion volume in the current time period or on the same day and the calculated expected water diversion volume is too large, the scheduling plan will be updated on a rolling basis, that is, the objective function will be iteratively calculated again. This ensures that the water diversion task is carried out in an orderly manner according to the original plan and meets the water demand of each water distribution point.

[0070] The average efficiency of a pumping station refers to the average efficiency of each pumping station within the current time period or within the day. The expected efficiency is a pre-configured efficiency value. If the average efficiency of a pumping station is less than or equal to the expected efficiency, the scheduling plan is updated on a rolling basis, which means that the objective function is iteratively calculated again. In this way, by optimizing the operation combination and status of the pumping units in the pumping station, such as switching operating units, adjusting speed, and shutting down inefficient units, the overall operating efficiency of the pumping station is improved, and the energy consumption of the pumping station is further reduced.

[0071] The technical solution of this invention sets detection rules such as water level deviation detection, water adjustment deviation detection, and pump station efficiency deviation detection. When abnormal situations such as excessively high water level, excessive water adjustment, and excessively low efficiency occur, the objective function is iteratively calculated again through a rolling mechanism to obtain the expected flow of each pump station. This allows for the adjustment of the flow of each pump station in subsequent periods to cope with sudden situations that occur on the same day, thereby achieving real-time control of pump station flow based on operating conditions.

[0072] Example 5 Figure 6 This is a structural block diagram of a pump station flow control device provided in Embodiment 5 of the present invention. The device specifically includes: The objective function acquisition module 601 is used to construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein, the objective function reflects the minimum energy consumption of the water transfer process of each pumping station; The constraint acquisition module 602 is used to construct water diversion constraints for each pumping station based on the water supply volume of each branch in the water supply system, and to construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station. The expected flow rate acquisition module 603 is used to iteratively calculate the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station.

[0073] The technical solution of this invention constructs an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system. This objective function reflects the minimum energy consumption of each pumping station during the water diversion process. Based on the water supply volume of each branch in the water supply system, water diversion volume constraints are constructed for each pumping station, and efficiency constraints are constructed based on the minimum efficiency of each pumping station. The objective function is iteratively calculated based on the water diversion volume constraints and efficiency constraints to obtain the expected flow rate of each pumping station. This not only reduces the manpower and time costs of the water diversion process in the water supply system and improves the management efficiency of pumping station flow, but also avoids reliance on the experience of dispatchers, enabling predictive awareness of the water supply system's operating conditions and ensuring the timeliness of water supply demand.

[0074] Optionally, the expected flow rate acquisition module 603 is specifically used to acquire the inflow of each reservoir based on the flow rate of each pumping station; calculate the water level of each reservoir based on the inflow, outflow, initial water volume, and natural evaporation of each reservoir; construct reservoir water level constraints based on the water level, minimum water level, and maximum water level of each reservoir; and iteratively calculate the objective function based on the water diversion constraint, the efficiency constraint, and the reservoir water level constraint to obtain the expected flow rate of each pumping station.

[0075] Optionally, the expected flow acquisition module 603 is specifically used to obtain the head difference between the outlet pool water level of the pumping station and the downstream reservoir water level based on the flow rate and hydraulic loss function of the pumping station, and to obtain the outlet pool water level based on the downstream reservoir water level and the head difference; to construct outlet pool water level constraints based on the outlet pool water level, the lowest outlet pool water level, and the highest outlet pool water level of the pumping station; and to iteratively calculate the objective function based on the water diversion constraints, the efficiency constraints, and the outlet pool water level constraints to obtain the expected flow rate of each pumping station.

[0076] Optionally, the expected flow acquisition module 603 is specifically used to acquire an allocation strategy table for pumping stations under different flow rates and heads based on the characteristic curves of individual pumps and optimization algorithms; wherein, the allocation strategy table includes the correlation between the total flow rate, head, and efficiency of the pumping station; based on the current total flow rate and current head of the pumping station, the optimal efficiency is obtained through the allocation strategy table; based on the water diversion constraint and the efficiency constraint, as well as the current total flow rate, current head, and optimal efficiency of the pumping station, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

[0077] Optionally, the objective function acquisition module 601 is specifically used to construct an objective function based on the flow rate, head, efficiency, and power coefficient of each pumping station in the water supply system; wherein the power coefficient is negatively correlated with redundant power; the objective function reflects the minimum energy storage consumption of each pumping station during the water transfer process.

[0078] Optionally, the pump station flow control device is further configured to, if the absolute value of the water level deviation between the actual value of the target water level and the corresponding desired water level is greater than or equal to a first preset threshold, or the absolute value of the water volume deviation between the water diversion volume of the target pump station and the desired water diversion volume is greater than or equal to a second preset threshold, or the absolute value of the efficiency deviation between the average efficiency of the pump station and the desired efficiency is greater than or equal to a third preset threshold, iteratively calculate the objective function again according to the water diversion volume constraint and the efficiency constraint to obtain the desired flow rate of each pump station; wherein, the target water level includes at least one of the inlet pool water level, the outlet pool water level, and the reservoir water level.

[0079] The above-described apparatus can execute the pump station flow control method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the pump station flow control method provided in any embodiment of the present invention.

[0080] Example 6 Figure 7 A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, electronic devices, blade electronic devices, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0081] like Figure 7As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0082] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0083] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as pump station flow control methods.

[0084] In some embodiments, the pump station flow control method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on a heterogeneous hardware accelerator via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by a processor, one or more steps of the pump station flow control method described above may be performed. Alternatively, in other embodiments, the processor may be configured to perform the pump station flow control method by any other suitable means (e.g., by means of firmware).

[0085] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0086] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0087] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0088] To provide interaction with a user terminal, the systems and techniques described herein can be implemented on a heterogeneous hardware accelerator, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user terminal; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user terminal provides input to the heterogeneous hardware accelerator. Other types of devices can also be used to provide interaction with the user terminal; for example, the feedback provided to the user terminal can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or haptic feedback); and input from the user terminal can be received in any form (including sound input, voice input, or haptic input).

[0089] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., client computers with graphical user interfaces or web browsers through which client computers can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0090] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0091] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0092] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for controlling the flow rate of a pumping station, characterized in that, include: An objective function is constructed based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein, the objective function reflects the minimum energy consumption of the water transfer process of each pumping station; Based on the water supply volume of each branch in the water supply system, water diversion constraints are constructed for each pumping station, and efficiency constraints are constructed for each pumping station based on its minimum efficiency. Based on the water diversion constraints and the efficiency constraints, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

2. The pump station flow control method according to claim 1, characterized in that, The step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: Based on the flow rate of each pumping station, the inflow of each reservoir is obtained; Calculate the water level of each reservoir based on its inflow, outflow, initial water volume, and natural evaporation. Based on the water level, minimum water level and maximum water level of each reservoir, construct the reservoir water level constraints. Based on the water diversion constraints, efficiency constraints, and reservoir water level constraints, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

3. The pump station flow control method according to claim 1, characterized in that, The step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: Based on the flow rate and hydraulic loss function of the pumping station, the head difference between the water level of the outlet pool and the water level of the downstream reservoir is obtained, and the water level of the outlet pool is obtained based on the water level of the downstream reservoir and the head difference. Based on the water level of the outlet pool, the lowest water level of the outlet pool, and the highest water level of the outlet pool of the pump station, construct the water level constraint conditions of the outlet pool; Based on the water diversion volume constraint, the efficiency constraint, and the outlet pool water level constraint, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

4. The pump station flow control method according to claim 1, characterized in that, The step of iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station includes: Based on the characteristic curves of individual water pumps and optimization algorithms, an allocation strategy table is obtained for pumping stations under different flow rates and heads; wherein, the allocation strategy table includes the correlation between the total flow rate, head, and efficiency of the pumping station; Based on the current total flow rate and current head of the pumping station, the optimal efficiency is obtained through the allocation strategy table; Based on the water diversion constraints and efficiency constraints, as well as the current total flow rate, current head, and optimal efficiency of the pumping station, the objective function is iteratively calculated to obtain the expected flow rate of each pumping station.

5. The pump station flow control method according to claim 1, characterized in that, The objective function is constructed based on the flow rate, head, and efficiency of each pumping station in the water supply system, specifically including: An objective function is constructed based on the flow rate, head, efficiency, and power coefficient of each pumping station in the water supply system; wherein the power coefficient is negatively correlated with redundant power; the objective function reflects the minimum energy storage consumption of each pumping station during the water transfer process.

6. The pump station flow control method according to any one of claims 1-5, characterized in that, After iteratively calculating the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station, the method further includes: If the absolute value of the water level deviation between the actual value of the target water level and the corresponding expected water level is greater than or equal to a first preset threshold, or the absolute value of the water volume deviation between the water diversion volume of the target pumping station and the expected water diversion volume is greater than or equal to a second preset threshold, or the absolute value of the efficiency deviation between the average efficiency of the pumping station and the expected efficiency is greater than or equal to a third preset threshold, the objective function is iteratively calculated again according to the water diversion volume constraint and the efficiency constraint to obtain the expected flow rate of each pumping station; wherein, the target water level includes at least one of the inlet pool water level, the outlet pool water level and the reservoir water level.

7. A pump station flow control device, characterized in that, include: The objective function acquisition module is used to construct an objective function based on the flow rate, head, and efficiency of each pumping station in the water supply system; wherein, the objective function reflects the minimum energy consumption of the water transfer process of each pumping station; The constraint acquisition module is used to construct water diversion constraints for each pumping station based on the water supply volume of each branch in the water supply system, and to construct efficiency constraints for each pumping station based on the minimum efficiency of each pumping station. The expected flow rate acquisition module is used to iteratively calculate the objective function based on the water diversion constraint and the efficiency constraint to obtain the expected flow rate of each pumping station.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the pump station flow control method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the pump station flow control method according to any one of claims 1-6.

10. A computer program product comprising a computer program that, when executed by a processor, implements the pump station flow control method according to any one of claims 1-6.

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