CN114017302B - Dynamic constant liquid level intelligent adjusting method and system for multistage pump station - Google Patents

Dynamic constant liquid level intelligent adjusting method and system for multistage pump station Download PDF

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CN114017302B
CN114017302B CN202111292170.8A CN202111292170A CN114017302B CN 114017302 B CN114017302 B CN 114017302B CN 202111292170 A CN202111292170 A CN 202111292170A CN 114017302 B CN114017302 B CN 114017302B
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pump station
liquid level
information
obtaining
pump
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CN114017302A (en
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单铃琳
侍惠芬
吴德金
龚子雨
沈洲
杨恺
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Jiangsu Silian Water Technology Co ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06—Control using electricity
    • F04B49/065—Control using electricity and making use of computers
    • E—FIXED CONSTRUCTIONS
    • E03—WATER SUPPLY; SEWERAGE
    • E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
    • E03B1/00—Methods or layout of installations for water supply
    • E03B1/02—Methods or layout of installations for water supply for public or like main supply for industrial use
    • E—FIXED CONSTRUCTIONS
    • E03—WATER SUPPLY; SEWERAGE
    • E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
    • E03B5/00—Use of pumping plants or installations; Layouts thereof

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
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  • Water Supply & Treatment (AREA)
  • Computer Hardware Design (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Control Of Non-Electrical Variables (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention discloses a dynamic constant liquid level intelligent regulation method and a system for a multi-stage pump station, which are characterized in that working relation data of the multi-stage pump station are obtained; according to the working relation data, obtaining a first relation between water flow and the liquid level of a first pump station; acquiring a history record of a first pump station; optimizing the first relation according to the history record of the first pump station to obtain a second relation; inputting the first water quantity requirement and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity; judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station; and when the liquid level exceeds the preset value, acquiring control parameters according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameters, wherein the first control instruction is used for controlling each pump station in the multi-stage pump station. The technical problem that the use effect of the multi-stage pump station is influenced because the liquid level of the multi-stage pump station in the working process can not be kept in a stable constant liquid level state in dynamic change in the prior art is solved.

Description

Dynamic constant liquid level intelligent adjusting method and system for multi-stage pump station
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a dynamic constant liquid level intelligent adjusting method and system for a multistage pump station.
Background
The pump station is a device capable of providing hydraulic power and pneumatic power with certain pressure and flow, and is called pump and pump station engineering. The water inlet, the water outlet, the pump room and other buildings of the drainage and irrigation pump station are collectively called. The multi-stage pump station is separately built, is connected in front and back, and is used for relay water lifting of more than two stages (including two stages). The liquid level of guaranteeing the temperature between the pump stations at different levels plays an important role in the water supply stability between the pump stations at different levels, but because the multi-stage pump stations are separately built, the connection transmission during the period is influenced by multiple factors, how to guarantee the respective liquid level constancy of the multi-stage pump stations in the dynamic water level in the use process, and meanwhile, the multi-stage pump stations are guaranteed to be stabilized in a certain liquid level difference value, and the effective utilization of the multi-stage pump stations is guaranteed.
The prior art has the following technical problems:
the technical problem that the use effect of the multi-stage pump station is influenced because the liquid level of each stage of pump station cannot keep a stable constant liquid level state in dynamic change in the working process of the multi-stage pump station.
Disclosure of Invention
The invention aims to at least solve one of the technical defects, and provides a dynamic constant liquid level intelligent regulation method and system for a multi-stage pump station, which are used for solving the technical problem that the use effect of the multi-stage pump station is influenced because the liquid level of each stage of pump station in the working process of the multi-stage pump station in the prior art cannot keep a stable constant liquid level state in dynamic change.
Therefore, the first purpose of the invention is to provide a dynamic constant liquid level intelligent adjusting method for a multistage pump station, which comprises the following steps: obtaining a first water demand; acquiring first pump station information according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal; acquiring working relation data of a multi-stage pump station; according to the working relation data, obtaining a first relation between water flow and the liquid level of a first pump station; acquiring a history record of a first pump station; optimizing the first relation according to the first pump station historical record to obtain a second relation; inputting the first water quantity demand and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity; judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station; and when the predicted liquid level change amount exceeds the preset working relation, obtaining a control parameter according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multi-stage pump station.
The second purpose of the invention is to provide a dynamic constant liquid level intelligent regulating system of a multistage pump station, which comprises:
a first obtaining unit for obtaining a first water demand;
the second obtaining unit is used for obtaining information of a first pump station according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal;
the third obtaining unit is used for obtaining the working relation data of the multistage pump station;
the fourth obtaining unit is used for obtaining a first relation between water flow and the liquid level of the first pump station according to the working relation data;
a fifth obtaining unit, configured to obtain a first pump station history record;
the first optimization unit is used for optimizing the first relation according to the history record of the first pump station to obtain a second relation;
a sixth obtaining unit, configured to input the first water amount demand and the second relationship into a liquid level prediction model, and obtain a predicted liquid level change amount;
the first judgment unit is used for judging whether the predicted liquid level change amount exceeds a liquid level change threshold value of a first pump station or not;
and the first execution unit is used for acquiring a control parameter according to the predicted liquid level change amount and the working relation data when the liquid level exceeds the preset liquid level change amount, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multi-stage pump stations.
A third object of the present invention is to provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above method when executing the computer program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
according to the dynamic constant liquid level intelligent regulation method and system for the multi-stage pump station, provided by the embodiment of the invention, a first water quantity requirement is obtained; acquiring first pump station information according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal; acquiring working relation data of a multi-stage pump station; according to the working relation data, obtaining a first relation between water flow and the liquid level of a first pump station; acquiring a history record of a first pump station; optimizing the first relation according to the first pump station historical record to obtain a second relation; inputting the first water quantity demand and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity; judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station or not; and when the predicted liquid level change amount exceeds the preset working relation, obtaining a control parameter according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multi-stage pump station. The technical effects of analyzing and processing the influence parameters among the multistage pump stations, determining the transmission relation among the multistage pump stations, balancing the stability of liquid levels among all stages of pump stations by adjusting the working parameters of the multistage pump stations according to the dynamic flow condition of the working pump stations, maintaining dynamic constant liquid level balance and ensuring the overall working state of the multistage pump stations are achieved. Therefore, the technical problem that the use effect of the multi-stage pump station is influenced because the liquid level of the multi-stage pump station in the prior art cannot keep a stable constant liquid level state in dynamic change in the working process of the multi-stage pump station is solved.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
Fig. 1 is a schematic flow chart of a dynamic constant liquid level intelligent regulation method for a multistage pump station in an embodiment of the present application;
FIG. 2 is a schematic flow chart of another method for dynamically and intelligently adjusting the constant liquid level of a multi-stage pump station according to the embodiment of the present application;
FIG. 3 is a schematic flow chart of another method for dynamically and intelligently adjusting the constant liquid level of a multi-stage pump station according to the embodiment of the present application;
FIG. 4 is a schematic flow chart of another method for dynamically and intelligently adjusting the constant liquid level in the multi-stage pumping station according to the embodiment of the present application;
FIG. 5 is a schematic structural diagram of a dynamic constant liquid level intelligent regulation system of a multistage pump station according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a first optimizing unit 16, a sixth obtaining unit 17, a first judging unit 18, a first executing unit 19, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention and are not to be construed as limiting the present invention. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The following describes a dynamic constant liquid level intelligent regulation method for a multistage pump station according to an embodiment of the invention with reference to the accompanying drawings.
The technical scheme of the application is as follows: obtaining a first water demand; acquiring first pump station information according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal; obtaining working relation data of a multi-stage pump station; obtaining a first relation between water flow and the liquid level of a first pump station according to the working relation data; acquiring a history record of a first pump station; optimizing the first relation according to the first pump station historical record to obtain a second relation; inputting the first water quantity demand and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity; judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station; and when the predicted liquid level change quantity exceeds the preset working relation, acquiring a control parameter according to the predicted liquid level change quantity and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multistage pump station. The technical problem that the use effect of the multi-stage pump station is influenced because the liquid level of the multi-stage pump station in the working process can not be kept in a stable constant liquid level state in dynamic change in the prior art is solved. The technical effects of analyzing and processing according to various influence parameters among the multi-stage pump stations, determining the transmission relation among the multi-stage pump stations, balancing the stability of liquid levels among all stages of pump stations by adjusting the working parameters of the multi-stage pump stations according to the dynamic flow condition of the working pump stations, maintaining dynamic constant liquid level balance and ensuring the overall working state of the multi-stage pump stations are achieved.
Practice ofExample one
As shown in fig. 1, an embodiment of the present application provides a dynamic constant liquid level intelligent regulation method for a multi-stage pump station, where the method includes:
step S100, obtaining a first water quantity demand;
specifically, the first water volume requirement is a required volume of the terminal, and may also be a collection volume, specifically, considering the usage environment and requirements of the multi-stage pump station, if the multi-stage pump station is used for water supply, the first water volume requirement is water volume information that the terminal needs to use, and the multi-stage pump station needs to provide water volume. If used in flood discharge, the first water demand is the water demand information that needs to be collected.
Step S200, acquiring first pump station information according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal;
specifically, the multi-stage pump station is formed by connecting and combining a plurality of pump stations, different function partitions are carried out according to the building positions of the pump stations, the pump stations close to a water source provide water storage capacity, the pump stations close to an end user mainly output the pump stations, and specific setting is carried out according to specific pump station positions and requirements. And determining the corresponding first pump station according to the position and the range of the first water quantity demand, namely determining which pump station is the first pump station if the specific position and the range of the first water quantity demand are close to which pump station in the multi-stage pump stations and the pipeline is more convenient to lay.
Step S300, acquiring working relation data of a multi-stage pump station;
further, the obtaining of the working relationship data of the multistage pump station includes: step S310, obtaining structural information of a multi-stage pump station; step S320, obtaining the connection relation of each pump station according to the structure information of the multistage pump stations, wherein the multistage pump stations comprise a first pump station, a second pump station and an Nth pump station, and N is a positive integer greater than 2; step S330, obtaining parameter information of each pump station; step S340, obtaining influence coefficients of all the pump stations according to the parameter information of all the pump stations and the connection relation of all the pump stations; and step S350, acquiring the working relation data of the multistage pump station according to the influence coefficient of each pump station, the connection relation of each pump station and the parameter information of each pump station.
Specifically, the multistage pump station has different transmission parameter relationships among the pumps according to specific parameter information of the pumps at all stages, such as the working pressure of an electric pump of the pump station, working strategy, the volume of a water storage tank, pressure generated by height and the like, and corresponding building positions, connection modes, connection distances, connection paths, connection materials and the like, if liquid is output through a downstream pump, the liquid level is affected, the change of the liquid level can correspondingly affect the output flow speed and water quantity, in order to ensure stable liquid level difference among the pumps at all stages and stabilize the use state of the pumps, the liquid is replenished through an upstream pump station connected according to the use condition of the downstream pump station, so that the liquid level of the pumps at all stages in the whole pump station is stabilized, and the working relationship data of the multistage pump station comprises corresponding relationship values of liquid level control among the pump stations at all stages, including the flow, the liquid level of the pump station, the content of relevant parameters of the pressure of the electric pump and the relationship data among the pump stations. The multi-stage pump station structure information is description of the whole scheme contents such as the connection relation, the direction, the set position, the connection distance, the connection path, the connection mode and the like of each stage of pump stations in the multi-stage pump station. The connection relation of each pump station is the specific pump station which is connected, and the connection parameter information between two pump stations. The parameter information of each pump station is the concrete parameter description of each pump station such as the pressure of an electric pump, the power of the electric pump, the building position, the volume data of a liquid storage tank and the like of the pump station. Determining factors influencing water flow, pump station liquid level and the like in each connection relation according to parameter information of each pump station and the connection relation of each pump station, wherein if the terrain of two pump stations is greatly different, the terrain height difference of the two pump stations can influence transmission between the pump stations, or the connection process of the two pump stations has environmental influence, if the air temperature is low, the speed influence of the liquid transmission process can be caused, and the influence coefficient of each pump station is the influence proportional relation determined by corresponding analysis according to the reference influence factors of the connected pump stations.
Further, as shown in fig. 2, when N is 2, the obtaining of the working relationship data of the multi-stage pump station includes: step S321, obtaining connection parameters of a first pump station and a second pump station according to the connection relation of the pump stations; step S322, obtaining a pump station flow influence coefficient according to the connection parameter; step S323, obtaining a first pump station working parameter, wherein the first pump station working parameter is a parameter relation between pump power and pump station flow; step S324, obtaining first pump station water storage tank information, wherein the first pump station water storage tank information comprises size information of a water storage tank; step S325, inputting the working parameters of the first pump station and the information of the water storage tank of the first pump station into a flow analysis model to obtain a first analysis result, wherein the first analysis result is the relation between the flow of the first pump station and the liquid level of the water storage tank; step S326, obtaining working parameters of a second pump station and information of a water storage tank of the second pump station; step S327, inputting the working parameters of the second pump station and the information of the water storage tank of the second pump station into a flow analysis model to obtain a second analysis result, wherein the second analysis result is the relation between the flow of the second pump station and the liquid level of the water storage tank; step S328, obtaining pump station relation data according to the first analysis result, the second analysis result and the connection parameters; and step S329, acquiring the working relation data of the multistage pump station according to the pump station relation data and the pump station flow influence coefficient.
Further, in order to further refine the construction process of the working relation data of the multi-stage pump station, taking the second-stage pump station as an example, the connection parameters of the first pump station and the second pump station are connection topography, distance, pipeline material, pipeline diameter, connection path and the like between the two pump stations. And calculating the flow influence coefficients of the pump stations according to the connection parameters, and determining the flow influence coefficients among the pump stations, namely the degree of influence caused by the contact way, materials, paths and the like among the pump stations. According to first pump station working parameter, first pump station retaining jar information carries out the relation between pump station flow and the retaining jar liquid level, pump power and retaining jar liquid level can influence the pump station flow jointly, according to the volume of retaining jar, height parameter calculation different retaining jar liquid levels can produce the pressure value that corresponds, the pump power of reunion, speed to the pump station flow has produced the influence, in order to ensure the normal use of first pump station, in the supply of second pump station and the output consumption of first pump station use of first pump station at first pump station, the permanent liquid level that keeps first pump station is the liquid level stability, and then the water flow and the speed stability of control pump station through the stability of pump station liquid level, can guarantee the normal use of pump station. In order to ensure the accuracy of the calculation process, a mathematical model is constructed by utilizing machine deep learning, a flow analysis model is a neural network model in the machine learning, and the neural network model reflects many basic characteristics of human brain functions and is a highly complex nonlinear dynamic learning system. The self-training learning system can continuously conduct self-training learning according to training data, and the multiple groups of data comprise pump station working parameters, pump station water storage tank information and identification information for identifying pump station flow and water storage tank liquid level. The flow analysis model is continuously self-corrected, and when the output information of the flow analysis model reaches a preset accuracy rate/convergence state, the supervised learning process is ended. Through right the flow analysis model carries out data training, makes flow analysis model handles input data more accurate, and then makes the analysis result of output also more accurate, has reached the accuracy and has carried out the analysis effect of the relation between flow and the pump station liquid level, improves the intelligent technological effect of analysis result, tamps the basis for carrying out effectual regulation of pump station liquid level at different levels. The relation between the flow and the liquid level of the first pump station and the second pump station is utilized, the influence coefficient corresponding to the factor which can influence the transmission flow and the speed of the second pump station of the first pump station in the transmission process is combined to calculate, the liquid transmission relation between the first pump station and the second pump station is obtained, the liquid transmission of which state is carried out to the first pump station by the second pump station is included, the influence on the liquid level of the first pump station can be generated, the influence on the liquid level of the second pump station is generated by the flow of the second pump station, the stable and effective transmission can be generated in the liquid level range by the liquid level of the second pump station in combination with the pump power of the pump station, and the stable operation of the multistage pump station can be ensured when the liquid level difference between the second pump station and the first pump station is large.
S400, obtaining a first relation between water flow and the liquid level of a first pump station according to the working relation data;
specifically, a first relation between water flow of the first pump station and liquid level of the first pump station is obtained according to relevant data of the first pump station in the working relation data, and the first relation is obtained by calculation according to data in the working relation data. The frequency is mainly used for specifically analyzing and adjusting the liquid level of a working pump station of a using terminal, so that the corresponding analysis is carried out aiming at the relation between the liquid level and the water flow of a first pump station.
Step S500, acquiring a history record of a first pump station;
s600, optimizing the first relation according to the historical record of the first pump station to obtain a second relation;
further, the optimizing the first relationship according to the first pump station history record to obtain a second relationship includes: step S610, fitting a regression function according to the history record of the first pump station; step S620, obtaining a cost function of the regression function; step S630, based on the history record of the first pump station, optimizing the coefficient of the regression function through the cost function to obtain an optimized parameter; step S640 determines whether the first relationship satisfies an optimization parameter; and step S650, when the first relation is not satisfied, optimizing the first relation by using the optimization parameter to obtain the second relation.
Specifically, in order to ensure the accuracy of the adjustment parameter setting of the analysis result, the historical work record data of the first pump station is used for analysis, and the first relation is optimized. Fitting a regression function h according to the relation data of the water flow in the historical record and the liquid level of the first pump station α (x)＝a 1 +a 2 x, wherein a 1 、a 2 Taking values from the history record as parameters, calculating a regression function, determining the optimal parameters, and determining the optimal parameters by calculating a cost function, wherein the cost function is
Figure GDA0003804132150000111
Solving the minimum value of the cost function, taking the obtained parameter as the optimal parameter, and optimizing the first relationAnd (4) transforming. The accuracy of the relation between the flow and the liquid level of the first pump station during operation is ensured, and therefore the accuracy of dynamic liquid level control is improved.
Step S700, inputting the first water quantity demand and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity;
step S800, judging whether the predicted liquid level change amount exceeds a liquid level change threshold value of a first pump station;
and S900, when the liquid level exceeds the preset liquid level change amount, obtaining a control parameter according to the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multi-stage pump station.
Particularly, utilize first water demand and second relation to calculate the change condition of first pump station liquid level, in order to improve efficiency and the accuracy of computational process, mathematical model has been added to this application, the liquid level prediction model is the training model who carries out machine learning promptly, through input water demand and second relation through operation analysis, the prediction liquid level change quantity that the output corresponds, operational efficiency and precision have been improved, the intelligent degree of process has been improved, judge whether the change condition of first pump station liquid level has surpassed first pump station liquid level change threshold value according to the output result, if surpass can break the equilibrium relation of the constant liquid level between the multistage pump station, thereby influence the liquid transmission effect of pump station, therefore in time according to the outflow condition of first pump station, the supply relation between the whole pump station is adjusted, in order to maintain the relative stability between the multistage pump station in the dynamic process. The technical problem that the use effect of the multi-stage pump station is influenced because the liquid level of the multi-stage pump station in the working process can not be kept in a stable constant liquid level state in dynamic change in the prior art is solved. The technical effects of analyzing and processing the influence parameters among the multistage pump stations, determining the transmission relation among the multistage pump stations, balancing the stability of liquid levels among all stages of pump stations by adjusting the working parameters of the multistage pump stations according to the dynamic flow condition of the working pump stations, maintaining dynamic constant liquid level balance and ensuring the overall working state of the multistage pump stations are achieved.
Further, as shown in fig. 3, the step S322 of obtaining a pump station flow influence coefficient according to the connection parameter includes: step S3221, obtaining connection parameters of a first pump station and a second pump station, wherein the connection parameters comprise connection distance, connection pipeline information and connection path; step S3222, obtaining position information of a first pump station and position information of a second pump station; step S3223, acquiring a terrain difference value according to the position information of the first pump station and the position information of the second pump station; step S3224, according to the connection distance and the terrain difference value, a first flow influence coefficient is obtained; step S3225 obtains the connecting pipe flowing information according to the connecting pipe information; step S3226 obtains a second flow influence coefficient according to the connection pipe flow information and the connection path; step S3227 obtains the pump station flow influence coefficient according to the first flow influence coefficient and the second flow influence coefficient.
Specifically, according to the connection relationship among the multi-stage pump stations, the transmission relationship data among the connected pump stations in the multi-stage pump stations are determined according to the building positions of the pump stations. The method mainly comprises the step of calculating the transmission pressure influence caused by the potential difference according to the potential difference of a first pump station and a second pump station. The flow influence coefficient of the connecting pipeline is determined according to the diameter, the material, the connecting path and the like of the transmission pipeline, the flow speed and the flow of the transmission pipeline connected in a straight line and in a bending way and in a folding way can be influenced, and correspondingly, the liquid level of the pump station can be influenced and limited. And calculating the influence coefficient of the pump station flow by utilizing the influences of the terrain, the connection mode, the connection path and the connection environment.
Further, the step S328 of obtaining pump station relationship data according to the first analysis result, the second analysis result, and the connection parameter includes: step S3281, according to the first analysis result, acquiring a liquid level requirement of a first pump station; step S3282, inputting the liquid level requirement of the first pump station and the first analysis result into a first liquid level replenishment analysis model to obtain first replenishment information, wherein the first replenishment information is the replenishment relation between the flow of the first pump station and the liquid level of the first pump station; step S3283, according to the connection parameter and the second analysis result, obtaining second replenishment information, wherein the second replenishment information is a rate of replenishment of the second pump station to the first pump station; step S3284, inputting the second supply information and the second analysis result into a second liquid level supply analysis model to obtain third supply information, wherein the third supply information is the relation between the supply flow of a second pump station and the liquid level of the second pump station; step S3285 obtains the pump station relation data according to the first, second and third replenishment information.
Specifically, a first analysis result is the relation between the flow of a first pump station and the liquid level of a water storage tank, according to the first analysis result, the first pump station is determined to ensure that the flow needs to reach the level of the liquid level of the water storage tank, meanwhile, when the liquid level requirement of the first pump station is carried out, the connection relation in the working relation data of the multistage pump stations is considered, the liquid level balance relation between the whole multistage pump stations is considered, thereby the liquid level requirement of the first pump station is determined, the liquid level requirement of the first pump station is a range, including the maximum value and the minimum value, the normal flow requirement of the first pump station can be ensured, and meanwhile, the liquid level requirements of other pump stations of the whole multistage pump station are also considered according to the data of the working relation data of the multistage pump stations. And determining how much flow needs to be supplied to the liquid level according to the first analysis result of the first pump station and the liquid level requirement so as to balance the relation. And calculating the replenishment efficiency of the second pump station for transmitting to the first pump station according to the connection parameters of the first pump station and the second pump station, namely the connection distance, the terrain, the diameter of the connection pipeline, the material and other influence information, and combining a second analysis result. The multi-stage pump station is required to balance the liquid level balance of other pump stations at different stages besides ensuring the working state of the used pump station, so that the flow and liquid level relation of the second pump station is considered, the second pump station is required to transmit liquid to the first pump station, the relation between the second pump station and the first pump station is considered, and under the condition that the supply amount is large or the supply source of the second pump station cannot be realized, the whole relation between the first pump station and the second pump station is dynamically adjusted to ensure that the second pump station supplies to the first pump station and ensures the output of the first pump station in the use of the first pump station, and the relatively constant liquid level relation between the first pump station and the second pump station is balanced in the process.
Further, the obtaining of the flow information of the connecting pipeline according to the information of the connecting pipeline includes: step S32251, according to the connecting pipeline information, obtaining connecting pipeline material information and connecting pipeline diameter information; step S32252 is to obtain a first flow rate estimated value according to the diameter information of the connecting pipeline; step S32253, according to the material information of the connecting pipeline, flow estimated resistance is obtained; step S32254 obtains the flow information of the connecting pipe according to the estimated flow resistance and the estimated first flow rate value.
Specifically, when calculating the flow information of the connecting pipeline, the diameter, the influence of the material and the size of the connecting pipeline are mainly considered, and the influence of the diameter on the speed and the flow size of the flow is mainly considered, such as the rough passing rate of the pipeline is high, but the relatively required maintenance cost and the liquid level pressure are also high. The different mobile difference that exists of the material of pipeline, the different pipeline material still exists the difference of estimating the resistance in use simultaneously, if some pipes can rust, influence the pipe inner wall, can adhere to impurity and cause the mobility poor, estimate the circumstances that the resistance increases, connecting line flow information mainly considers the connecting line between the multistage pump station to the transmission flow size, the influence condition of speed, analysis and reference through multiple factor, ensure more accuracy in the permanent liquid level regulation control to the pump stations at different levels of multistage pump station, in order to maintain the operating condition and the efficiency of pump station.
Further, as shown in fig. 4, before the determining whether the predicted liquid level change amount exceeds the first pump station liquid level change threshold, the method includes: step S1010, obtaining associated pump station information, wherein the associated pump station information is pump station information connected with the first pump station; step S1020 obtaining matched pump station relation data according to the associated pump station information, the first pump station and the working relation data of the multi-stage pump station, wherein the matched pump station relation data are relation data of flow, liquid level and transmission between the first pump station and the associated pump station; step S1030, water source supply information is obtained according to the associated pump station information; step S1040, obtaining a correlation replenishment threshold value according to the water source supply information and the matched pump station relation data; step S1050 obtaining predicted replenishment liquid level information according to the correlation replenishment threshold and the matched pump station relation data; and step S1060, obtaining the liquid level change threshold value of the first pump station according to the predicted replenishment liquid level information and the liquid level requirement of the first pump station.
Specifically, the determination of the liquid level change threshold of the first pump station is mainly related to specific parameters of construction, connection and the like of the multi-stage pump station, if the replenishment condition efficiency of the connected upstream pump station to the first pump station is high, the liquid level change threshold of the first pump station is relatively large, otherwise, the liquid level change threshold is small, the liquid level change threshold is related to the replenishment efficiency of the replenishment pump station and is related to the capacity of a water storage tank of the first pump station, the main basic point is to be maintained in the liquid level balance relationship among the multi-stage pump stations, namely, the constant liquid level relationship, if the liquid level change value of the first pump station is too large and is lower than the liquid level required by the first pump station, the condition of the water delivery quantity of other pump stations connected with the first pump station is influenced, in order to maintain the stability of a transmission system of the whole multi-stage pump station, the constant liquid level control of the multi-stage pump station can be realized, if the liquid level change value of the first pump station does not exceed the liquid level change threshold of the first pump station, the corresponding parameter setting of the multi-stage pump station according to the connection relationship is performed according to the connection relationship, the corresponding to ensure that the liquid level change of the first pump station is increased, the liquid level change threshold, and the adjustment of the liquid level pump station is realized by the normal operation of the whole multi-stage pump station, and the adjustment principle of the stable pump station, and the adjustment of the stable pump station, the adjustment of the stable pump station is realized by the normal operation of the normal pump station.
Example two
Based on the same inventive concept as the dynamic constant liquid level intelligent regulation method of the multi-stage pump station in the previous embodiment, the invention also provides a dynamic constant liquid level intelligent regulation system of the multi-stage pump station, as shown in fig. 5, the system comprises:
a first obtaining unit 11, said first obtaining unit 11 being configured to obtain a first water demand;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain information of a first pump station according to the first water demand, and the first pump station is one of the multiple stages of pump stations and is connected to the first water demand terminal;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain working relationship data of the multi-stage pump station;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first relationship between water flow and a liquid level of the first pump station according to the working relationship data;
a fifth obtaining unit 15, wherein the fifth obtaining unit 15 is configured to obtain a first pump station history record;
the first optimization unit 16, where the first optimization unit 16 is configured to optimize the first relationship according to the first pump station history record to obtain a second relationship;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to input the first water demand and the second relation into a liquid level prediction model, and obtain a predicted liquid level change amount;
a first judging unit 18, wherein the first judging unit 18 is used for judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station;
and the first execution unit 19 is configured to, when the liquid level exceeds the preset liquid level change amount, obtain a control parameter according to the working relation data, and execute a first control instruction according to the control parameter, where the first control instruction is used to control each pump station in the multi-stage pump station.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain structural information of the multi-stage pump station;
the eighth obtaining unit is used for obtaining the connection relation of each pump station according to the structure information of the multi-stage pump stations, wherein the multi-stage pump stations comprise a first pump station, a second pump station and an Nth pump station, and N is a positive integer greater than 2;
a ninth obtaining unit, configured to obtain parameter information of each pump station;
a tenth obtaining unit, configured to obtain an influence coefficient of each pump station according to the parameter information of each pump station and the connection relationship between the pump stations;
and the eleventh obtaining unit is used for obtaining the working relation data of the multistage pump station according to the influence coefficient of each pump station, the connection relation of each pump station and the parameter information of each pump station.
Further, when N is 2, the system further includes:
a twelfth obtaining unit, configured to obtain a connection parameter between the first pump station and the second pump station according to the connection relationship between the pump stations;
a thirteenth obtaining unit, configured to obtain a pump station flow influence coefficient according to the connection parameter;
a fourteenth obtaining unit, configured to obtain a first pump station working parameter, where the first pump station working parameter is a parameter relationship between pump power and pump station flow;
a fifteenth obtaining unit for obtaining first pump station reservoir information, the first pump station reservoir information comprising reservoir size information;
the second execution unit is used for inputting the working parameters of the first pump station and the information of the first pump station water storage tank into a flow analysis model to obtain a first analysis result, and the first analysis result is the relation between the flow of the first pump station and the liquid level of the water storage tank;
a sixteenth obtaining unit, configured to obtain a second pump station working parameter and second pump station water storage tank information;
the third execution unit is used for inputting the working parameters of the second pump station and the information of the water storage tank of the second pump station into a flow analysis model to obtain a second analysis result, and the second analysis result is the relation between the flow of the second pump station and the liquid level of the water storage tank;
a seventeenth obtaining unit, configured to obtain pump station relationship data according to the first analysis result, the second analysis result, and the connection parameter;
and the eighteenth obtaining unit is used for obtaining the working relation data of the multistage pump station according to the pump station relation data and the pump station flow influence coefficient.
Further, the system further comprises:
a nineteenth obtaining unit, configured to obtain connection parameters of the first pump station and the second pump station, where the connection parameters include a connection distance, connection pipeline information, and a connection path;
a twentieth obtaining unit, configured to obtain first pump station location information and second pump station location information;
a twenty-first obtaining unit, configured to obtain a terrain difference according to the position information of the first pump station and the position information of the second pump station;
a twenty-second obtaining unit, configured to obtain a first flow influence coefficient according to the connection distance and the terrain difference value;
a twenty-third obtaining unit configured to obtain connection pipe flow information according to the connection pipe information;
a twenty-fourth obtaining unit, configured to obtain a second flow influence coefficient according to the connection pipeline flow information and the connection path;
a twenty-fifth obtaining unit, configured to obtain the pump station flow influence coefficient according to the first flow influence coefficient and the second flow influence coefficient.
Further, the system further comprises:
a twenty-sixth obtaining unit, configured to obtain a liquid level requirement of a first pump station according to the first analysis result;
the fourth execution unit is used for inputting the liquid level requirement of the first pump station and the first analysis result into a first liquid level replenishment analysis model to obtain first replenishment information, and the first replenishment information is the replenishment relation between the flow of the first pump station and the liquid level of the first pump station;
a twenty-seventh obtaining unit, configured to obtain second replenishment information according to the connection parameter and the second analysis result, where the second replenishment information is a rate at which the second pump station replenishes the first pump station;
a fifth execution unit, configured to input the second replenishment information and the second analysis result into a second liquid level replenishment analysis model to obtain third replenishment information, where the third replenishment information is a relationship between a replenishment flow rate of the second pump station and a liquid level of the second pump station;
and the twenty-eighth obtaining unit is used for obtaining the pump station relation data according to the first, second and third replenishment information.
Further, the system further comprises:
a twenty-ninth obtaining unit, configured to obtain connection pipeline material information and connection pipeline diameter information according to the connection pipeline information;
a thirtieth obtaining unit, configured to obtain a first flow rate estimated value according to the connecting pipe diameter information;
a thirty-first obtaining unit, configured to obtain a flow predicted resistance according to the material information of the connection pipeline;
a thirty-second obtaining unit, configured to obtain the flow information of the connection pipeline according to the flow estimated resistance and the first flow estimated value.
Further, the system further comprises:
a thirty-third obtaining unit, configured to obtain associated pump station information, where the associated pump station information is pump station information connected to the first pump station;
a thirty-fourth obtaining unit, configured to obtain matching pump station relationship data according to the associated pump station information, the first pump station, and the working relationship data of the multi-stage pump station, where the matching pump station relationship data is relationship data of flow, liquid level, and transmission between the first pump station and the associated pump station;
a thirty-fifth obtaining unit, configured to obtain water source supply information according to the associated pump station information;
a thirty-sixth obtaining unit, configured to obtain an associated replenishment threshold according to the water source supply information and the matching pump station relationship data;
a thirty-seventh obtaining unit, configured to obtain predicted replenishment liquid level information according to the associated replenishment threshold and the matched pump station relationship data;
and a thirty-eighth obtaining unit, configured to obtain the first pump station liquid level change threshold according to the predicted replenishment liquid level information and the first pump station liquid level requirement.
Further, the system further comprises:
the first fitting unit is used for fitting a regression function according to the history record of the first pump station;
a thirty-ninth obtaining unit, configured to obtain a cost function of a regression function;
a fortieth obtaining unit, configured to optimize, based on the history record of the first pump station, a coefficient of the regression function through the cost function to obtain an optimized parameter;
a second judging unit, configured to judge whether the first relationship satisfies an optimization parameter;
a forty-first obtaining unit, configured to, when the first relationship is not satisfied, optimize the first relationship using the optimization parameter, and obtain the second relationship.
Various changes and specific examples of the dynamic constant liquid level intelligent regulation method for the multi-stage pump station in the first embodiment of fig. 1 are also applicable to the dynamic constant liquid level intelligent regulation system for the multi-stage pump station in this embodiment, and through the foregoing detailed description of the dynamic constant liquid level intelligent regulation method for the multi-stage pump station, those skilled in the art can clearly know the implementation method of the dynamic constant liquid level intelligent regulation system for the multi-stage pump station in this embodiment, so for the brevity of the description, detailed description is not repeated here.
Exemplary electronic device
The electronic apparatus of the embodiment of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the intelligent adjustment method for dynamic constant liquid level of the multi-stage pump station in the foregoing embodiment, the present invention further provides a computer device, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods of the intelligent adjustment method for dynamic constant liquid level of the multi-stage pump station are implemented.
Wherein in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
according to the dynamic constant liquid level intelligent regulation method and system for the multi-stage pump station, provided by the embodiment of the invention, a first water quantity requirement is obtained; acquiring first pump station information according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal; acquiring working relation data of a multi-stage pump station; according to the working relation data, obtaining a first relation between water flow and the liquid level of a first pump station; acquiring a history record of a first pump station; optimizing the first relation according to the history record of the first pump station to obtain a second relation; inputting the first water quantity demand and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity; judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station or not; and when the predicted liquid level change amount exceeds the preset working relation, obtaining a control parameter according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multi-stage pump station. The technical effects of analyzing and processing according to various influence parameters among the multi-stage pump stations, determining the transmission relation among the multi-stage pump stations, balancing the stability of liquid levels among all stages of pump stations by adjusting the working parameters of the multi-stage pump stations according to the dynamic flow condition of the working pump stations, maintaining dynamic constant liquid level balance and ensuring the overall working state of the multi-stage pump stations are achieved. Thereby solved prior art multistage pump station at the working process the liquid level of each stage of pump station can't keep stable constant liquid level state and influence multistage pump station result of use's technical problem in dynamic change.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. A dynamic constant liquid level intelligent regulation method for a multistage pump station is disclosed, wherein the method comprises the following steps:
obtaining a first water demand;
acquiring first pump station information according to the first water quantity demand, wherein the first pump station is one of the multistage pump stations and is connected with the first water quantity demand terminal;
obtaining working relation data of a multi-stage pump station;
obtaining a first relation between water flow and the liquid level of a first pump station according to the working relation data;
acquiring a history record of a first pump station;
optimizing the first relation according to the history record of the first pump station to obtain a second relation;
inputting the first water quantity demand and the second relation into a liquid level prediction model to obtain a predicted liquid level change quantity;
judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station or not;
when the predicted liquid level change amount exceeds the preset working relation, obtaining a control parameter according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling each pump station in the multi-stage pump station;
the obtaining of the working relationship data of the multistage pump station includes:
acquiring structural information of a multi-stage pump station;
obtaining the connection relation of all pump stations according to the structure information of the multistage pump stations, wherein the multistage pump stations comprise a first pump station, a second pump station and a nth pump station, and N is a positive integer greater than 2;
obtaining parameter information of each pump station;
obtaining influence coefficients of all the pump stations according to the parameter information of all the pump stations and the connection relation of all the pump stations;
acquiring working relation data of the multistage pump station according to the influence coefficient of each pump station, the connection relation of each pump station and the parameter information of each pump station;
when N is 2, the obtaining of the working relation data of the multi-stage pump station comprises:
obtaining connection parameters of the first pump station and the second pump station according to the connection relation of the pump stations;
obtaining a pump station flow influence coefficient according to the connection parameters;
obtaining a first pump station working parameter, wherein the first pump station working parameter is a parameter relation between pump power and pump station flow;
obtaining first pump station water storage tank information, wherein the first pump station water storage tank information comprises size information of a water storage tank;
inputting the working parameters of the first pump station and the information of the water storage tank of the first pump station into a flow analysis model to obtain a first analysis result, wherein the first analysis result is the relation between the flow of the first pump station and the liquid level of the water storage tank;
obtaining working parameters of a second pump station and information of a water storage tank of the second pump station;
inputting the working parameters of the second pump station and the information of the water storage tank of the second pump station into a flow analysis model to obtain a second analysis result, wherein the second analysis result is the relation between the flow of the second pump station and the liquid level of the water storage tank;
obtaining pump station relation data according to the first analysis result, the second analysis result and the connection parameter;
and acquiring the working relation data of the multistage pump station according to the pump station relation data and the pump station flow influence coefficient.
2. The method according to claim 1, wherein the obtaining a pump station flow influence coefficient according to the connection parameter comprises:
obtaining connection parameters of a first pump station and a second pump station, wherein the connection parameters comprise connection distance, connection pipeline information and connection path;
obtaining position information of a first pump station and position information of a second pump station;
acquiring a terrain difference value according to the first pump station position information and the second pump station position information;
obtaining a first flow influence coefficient according to the connection distance and the terrain difference value;
acquiring flow information of the connecting pipeline according to the connecting pipeline information;
obtaining a second flow influence coefficient according to the flow information of the connecting pipeline and the connecting path;
and obtaining the pump station flow influence coefficient according to the first flow influence coefficient and the second flow influence coefficient.
3. The method according to claim 1, wherein the obtaining pump station relationship data according to the first analysis result, the second analysis result and the connection parameter includes:
obtaining the liquid level requirement of a first pump station according to the first analysis result;
inputting the liquid level requirement of the first pump station and the first analysis result into a first liquid level replenishment analysis model to obtain first replenishment information, wherein the first replenishment information is the replenishment relation between the flow of the first pump station and the liquid level of the first pump station;
obtaining second replenishment information according to the connection parameters and the second analysis result, wherein the second replenishment information is the rate of replenishing from the second pump station to the first pump station;
inputting the second supply information and the second analysis result into a second liquid level supply analysis model to obtain third supply information, wherein the third supply information is the relation between the supply flow of a second pump station and the liquid level of the second pump station;
and obtaining the pump station relation data according to the first, second and third supply information.
4. The method of claim 2, wherein the obtaining connection pipe flow information from the connection pipe information comprises:
acquiring material information and diameter information of the connecting pipeline according to the connecting pipeline information;
obtaining a first flow rate estimated value according to the diameter information of the connecting pipeline;
acquiring flow estimated resistance according to the material information of the connecting pipeline;
and obtaining the flow information of the connecting pipeline according to the flow estimated resistance and the first flow estimated value.
5. The method according to claim 3, wherein the determining whether the predicted liquid level change amount exceeds a first pump station liquid level change threshold comprises:
obtaining associated pump station information, wherein the associated pump station information is pump station information connected with the first pump station;
obtaining matched pump station relation data according to the associated pump station information, the first pump station and the working relation data of the multi-stage pump station, wherein the matched pump station relation data is relation data of flow, liquid level and transmission between the first pump station and the associated pump station;
acquiring water source supply information according to the associated pump station information;
obtaining a correlation replenishment threshold according to the water source supply information and the matched pump station relation data;
obtaining predicted replenishment liquid level information according to the correlation replenishment threshold and the matched pump station relation data;
and obtaining the liquid level change threshold value of the first pump station according to the predicted replenishment liquid level information and the liquid level requirement of the first pump station.
6. The method according to claim 1 wherein the optimizing the first relationship from the first pump station history to obtain a second relationship comprises:
fitting a regression function according to the history record of the first pump station;
obtaining a cost function of the regression function;
optimizing the coefficient of the regression function through the cost function based on the historical record of the first pump station to obtain an optimized parameter;
judging whether the first relation meets optimization parameters or not;
and when the first relation is not satisfied, optimizing the first relation by using the optimization parameter to obtain the second relation.
7. A dynamic constant liquid level intelligent regulation system of a multistage pump station, wherein the system is applied to the method of any one of claims 1 to 6, and the system comprises:
a first obtaining unit for obtaining a first water demand;
a second obtaining unit, configured to obtain information about a first pump station according to the first water demand, where the first pump station is one of multiple pump stations and is connected to the first water demand terminal;
the third obtaining unit is used for obtaining the working relation data of the multi-stage pump station;
the fourth obtaining unit is used for obtaining a first relation between water flow and the liquid level of the first pump station according to the working relation data;
a fifth obtaining unit, configured to obtain a first pump station history record;
the first optimization unit is used for optimizing the first relation according to the history record of the first pump station to obtain a second relation;
a sixth obtaining unit, configured to input the first water amount demand and the second relationship into a liquid level prediction model, and obtain a predicted liquid level change amount;
the first judgment unit is used for judging whether the predicted liquid level change amount exceeds a liquid level change threshold of a first pump station;
the first execution unit is used for acquiring control parameters according to the predicted liquid level change amount and the working relation data when the predicted liquid level change amount exceeds the working relation data, and executing a first control instruction according to the control parameters, wherein the first control instruction is used for controlling each pump station in the multi-stage pump stations;
a seventh obtaining unit, configured to obtain multi-stage pump station structure information;
an eighth obtaining unit, configured to obtain a connection relationship between the pump stations according to the structural information of the multistage pump station, where the multistage pump station includes a first pump station, a second pump station, and up to an nth pump station, and N is a positive integer greater than 2;
a ninth obtaining unit, configured to obtain parameter information of each pump station;
a tenth obtaining unit, configured to obtain an influence coefficient of each pump station according to the parameter information of each pump station and the connection relationship between the pump stations;
an eleventh obtaining unit, configured to obtain working relationship data of the multiple stages of pump stations according to the influence coefficients of the pump stations, the connection relationships of the pump stations, and the parameter information of the pump stations;
when N is 2, the working relationship data of the multi-stage pump station is obtained, and the system further includes:
a twelfth obtaining unit, configured to obtain connection parameters of the first pump station and the second pump station according to the connection relationship between the pump stations;
a thirteenth obtaining unit, configured to obtain a pump station flow influence coefficient according to the connection parameter;
a fourteenth obtaining unit, configured to obtain a working parameter of a first pump station, where the working parameter of the first pump station is a parameter relationship between pump power and pump station flow;
a fifteenth obtaining unit for obtaining first pump station reservoir information, the first pump station reservoir information comprising reservoir size information;
the second execution unit is used for inputting the working parameters of the first pump station and the information of the water storage tank of the first pump station into a flow analysis model to obtain a first analysis result, and the first analysis result is the relation between the flow of the first pump station and the liquid level of the water storage tank;
a sixteenth obtaining unit, configured to obtain a second pump station working parameter and second pump station water storage tank information;
the third execution unit is used for inputting the working parameters of the second pump station and the information of the water storage tank of the second pump station into a flow analysis model to obtain a second analysis result, and the second analysis result is the relation between the flow of the second pump station and the liquid level of the water storage tank;
a seventeenth obtaining unit, configured to obtain pump station relationship data according to the first analysis result, the second analysis result, and the connection parameter;
and the eighteenth obtaining unit is used for obtaining the working relation data of the multistage pump station according to the pump station relation data and the pump station flow influence coefficient.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of the preceding claims 1-6 when executing the computer program.
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CN101819407B (en) * 2010-04-02 2011-09-07 杭州电子科技大学 Sewage pump station water level prediction method base on neural network
CN107103139B (en) * 2017-04-27 2020-03-17 中国水利水电科学研究院 Operation scheduling control method for water delivery system of cascade pump station
CN111210152B (en) * 2019-12-30 2022-07-12 清华大学 Method and device for scheduling drainage system
CN111708385A (en) * 2020-06-09 2020-09-25 浙江超梵环境科技有限公司 Adjacent pump station liquid level adjusting method and device for urban sewage treatment
CN111624874B (en) * 2020-06-09 2022-12-06 浙江超梵环境科技有限公司 Pump station cluster intelligent prediction method and system for urban sewage treatment and storage medium
CN113156817B (en) * 2021-03-18 2022-11-22 上海威派格智慧水务股份有限公司 Intelligent pump allocation method for pump station

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