CN112085255A - Hydraulic power regulation and control method for gate pump - Google Patents
Hydraulic power regulation and control method for gate pump Download PDFInfo
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Abstract
The invention discloses a gate pump hydraulic power regulation and control method, which comprises the following steps: s1, collecting data by using data collecting equipment; s2, the background server receives the data and calibrates; s3, establishing an artificial neural network model at a background server end to process data; s4, calculating errors and regulating and controlling a water delivery scheme according to the errors; s5, recording the error when the manual adjustment is carried out in the step S4, inputting the manual adjustment behavior as a new variable, and inputting the new variable into the artificial neural network model again to participate in learning and the like; according to the invention, the regulation and control of the hydrodynamic force are realized through intelligent regulation and control of the water delivery scheme, the clean water body can be guided to enter the polluted river channel, the polluted water body is diluted, the purpose of improving the water quality of the polluted river channel is achieved, the hydrodynamic force condition of a river network can be improved, the self-cleaning capability of the water body of the river channel is increased, the effect of regulating and controlling the hydrodynamic force of the water delivery regulation and control scheme to improve the water environment is learned and predicted by utilizing the artificial neural network, and the artificial regulation and control behavior can be.
Description
Technical Field
The invention relates to the technical field of hydraulic engineering, in particular to a gate pump hydraulic power regulation and control method.
Background
Water is a valuable resource essential to human production and life, but the naturally existing state of the water does not completely meet the needs of human beings, and water flow can be controlled only by building hydraulic engineering to prevent flood disasters and regulate and distribute water quantity so as to meet the needs of the human life and production on water resources. The water engineering regulation and control mainly utilizes water engineering to scientifically dispatch river network water flow, improves the mobility of the water body, enhances the self-purification capacity of the water body, and relieves the problem of regional water quality deterioration to a certain extent. The main principle is that the river network water body is activated by diversion, so that the original water body changes from static to slow and then changes from fast to fast, thereby improving the content of dissolved oxygen in the water body, enhancing the chemical purification process and the biological purification process of the water body, rapidly degrading various pollutants in the water body, and further achieving the purpose of improving the water quality of the water body. At present, the problems of high energy consumption, high operation management cost, low intelligent degree and the like exist in the operation of a gate pump regulation and control hydrodynamic engineering.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides the gate pump hydraulic power regulation and control method, improves the intelligent degree, reduces the operation cost, and is more scientific and reasonable.
The purpose of the invention is realized by the following technical scheme:
a gate pump hydraulic power regulation method comprises the following steps:
s1, acquiring river channel parameters, water quality parameters, flow and water level data by using data acquisition equipment, and transmitting the acquired data to a background server;
s2, the background server receives the collected data, then calibrates the data obtained by calculation of the riverway water environment model based on the collected data, and takes the calibrated data as the parameter index of the regulation and control target;
s3, establishing an artificial neural network model at a background server end, taking the parameter index of the regulation target as the output of the artificial neural network model, taking the water delivery regulation scheme as the input, training the artificial neural network, and selecting and outputting the water delivery regulation scheme closest to the parameter index of the regulation target;
s4, inquiring data collected by data collection equipment under the water delivery regulation and control scheme closest to the regulation and control target parameter index, calculating an error between the data and the regulation and control target parameter, manually regulating the water delivery regulation and control scheme according to the error, then inputting the manually regulated water delivery scheme again as the step S3, and continuing learning and training;
and S5, recording the error of the manual regulation in the step S4, inputting the manual regulation behavior as a new variable, inputting the new variable into the manual neural network model again to participate in learning and learning manual intervention measures, realizing intelligent screening of a water delivery regulation and control scheme, and regulating the water power to reach the regulation and control target parameter index.
In step S1, acquiring river channel parameters by using RTK equipment, measuring flow rate by using an acoustic doppler flow profiler, and measuring water level by using a water level gauge;
wherein, in step S1, the collected water quality parameters include turbidity, transparency, nitrification rate, water temperature, pH value, trace harmful chemical element content, bacteria content, NH3-N, COD, BOD5Degradation rate, DO, bottom sludge oxygen consumption rate, nitrification rate and denitrification rate.
In step S2, the water diversion flow rate and the water diversion time are controlled by the water diversion control scheme, and the water diversion flow rate and the water diversion time are used as inputs.
In step S3, the control target parameter index of the selected cross section is used as an output condition.
The target parameter index includes water quality parameter, flow rate and water level.
Wherein, the target parameter index comprises water diversion time.
The river channel parameters comprise river length, river width, river bottom elevation, section size and gate size.
The invention has the beneficial effects that:
according to the invention, the regulation and control of hydrodynamic force are realized through intelligent regulation and control of a water delivery scheme, clean water can be guided to enter a polluted river channel, the polluted water can be diluted, the purpose of improving the water quality of the polluted river channel is achieved, the hydrodynamic force condition of a river network can be improved, the self-cleaning capability of the water body of the river channel is increased, the effect of regulating and controlling hydrodynamic force of the water delivery regulation and control scheme to improve the water environment is learned and predicted by utilizing an artificial neural network, the manual regulation and control behavior can be learned, the optimization of the water delivery scheme is realized, and the manual regulation and control behavior; through the reasonable dispatch to floodgate station, pump station, when reaching diversion regulation and control hydrodynamic force, activation river network main part purpose, reduce expense, when reaching target regulation and control parameter index, through the intelligent control to diversion flow, diversion time, realize that the water delivery scheme is scientific rationalization more, and is more intelligent.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following. All of the features disclosed in this specification, or all of the steps of a method or process so disclosed, may be combined in any combination, except combinations where mutually exclusive features and/or steps are used.
Any feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Specific embodiments of the present invention will be described in detail below, and it should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known circuits, software, or methods have not been described in detail so as not to obscure the present invention.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Before describing the embodiments, some necessary terms need to be explained. For example:
if the terms "first," "second," etc. are used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. Thus, a "first" element discussed below could also be termed a "second" element without departing from the teachings of the present invention. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. In contrast, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements present.
The various terms appearing in this application are used for the purpose of describing particular embodiments only and are not intended as limitations of the invention, with the singular being intended to include the plural unless the context clearly dictates otherwise.
When the terms "comprises" and/or "comprising" are used in this specification, these terms are intended to specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence and/or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Example 1:
as shown in fig. 1, the method for regulating and controlling the hydraulic power of the gate pump of the present embodiment includes:
s1, acquiring river channel parameters, water quality parameters, flow and water level data by using data acquisition equipment, transmitting the acquired data to a background server, acquiring the river channel parameters by using RTK equipment in step S1, measuring the flow rate by using an acoustic Doppler current profiler, and measuring the water level by using a water level gauge; meanwhile, the collected water quality parameters comprise the turbidity, transparency, nitrification rate, water temperature, pH value, trace harmful chemical element content, bacterial content, NH3-N, COD, BOD5 degradation rate, DO, bottom sludge oxygen consumption rate, nitrification rate and denitrification rate of the water; wherein the river channel parameters comprise river length, river width, river bottom elevation, section size and gate size;
s2, the background server receives the collected data, then calibrates the data obtained by calculation of the riverway water environment model based on the collected data, and takes the calibrated data as the parameter index of the regulation and control target;
s3, establishing an artificial neural network model at a background server end, taking the parameter index of the regulation target as the output of the artificial neural network model, taking the water delivery regulation scheme as the input, training the artificial neural network, and selecting and outputting the water delivery regulation scheme closest to the parameter index of the regulation target;
s4, inquiring data collected by data collection equipment under the water delivery regulation and control scheme closest to the regulation and control target parameter index, calculating an error between the data and the regulation and control target parameter, manually regulating the water delivery regulation and control scheme according to the error, then inputting the manually regulated water delivery scheme again as the step S3, and continuing learning and training;
and S5, recording the error of the manual regulation in the step S4, inputting the manual regulation behavior as a new variable, inputting the new variable into the manual neural network model again to participate in learning and learning manual intervention measures, realizing intelligent screening of a water delivery regulation and control scheme, and regulating the water power to reach the regulation and control target parameter index.
Example 2:
compared with embodiment 1, in this embodiment, in step S2, the water diversion flow rate and the water diversion time are controlled by the water diversion regulation scheme, and the water diversion flow rate and the water diversion time are used as inputs; the target parameter indexes include water quality parameters, flow, water level and water diversion time;
in step S3, the control target parameter index of the selected cross section is used as an output condition; the artificial neural network is used for learning and predicting the effect of regulating and controlling the hydrodynamic force to improve the water environment of the water delivery regulation and control scheme, so that the artificial regulation and control behavior can be learned, the water delivery scheme is optimized, and the artificial regulation and control behavior is learned to be more intelligent; through the reasonable dispatch to floodgate station, pump station, when reaching diversion regulation and control hydrodynamic force, activation river network main part purpose, reduce expense, when reaching target regulation and control parameter index, through the intelligent control to diversion flow, diversion time, realize that the water delivery scheme is scientific rationalization more, and is more intelligent.
In other technical features of the embodiment, those skilled in the art can flexibly select and use the features according to actual situations to meet different specific actual requirements. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known algorithms, methods or systems have not been described in detail so as not to obscure the present invention, and are within the scope of the present invention as defined by the claims.
For simplicity of explanation, the foregoing method embodiments are described as a series of acts or combinations, but those skilled in the art will appreciate that the present application is not limited by the order of acts, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and elements referred to are not necessarily required in this application.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The disclosed systems, modules, and methods may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be merely a division of a logical function, and an actual implementation may have another division, 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 referred to as 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 the parts displayed as units may or may not be physical units, may be located in one place, or may also 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.
The functions, if implemented in the form of software functional units 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 invention may be embodied in the form of 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 invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It will be understood by those skilled in the art that all or part of the processes in the methods for implementing the embodiments described above may be implemented by hardware that is related to instructions of a computer program, and the program may be stored in a computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a ROM, a RAM, etc.
The foregoing is merely a preferred embodiment of the invention, it is to be understood that the invention is not limited to the forms disclosed herein, but is not intended to be exhaustive or to limit the invention to other embodiments, and to various other combinations, modifications, and environments and may be modified within the scope of the inventive concept as expressed herein, by the teachings or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A gate pump hydraulic power regulation and control method is characterized by comprising the following steps:
s1, acquiring river channel parameters, water quality parameters, flow and water level data by using data acquisition equipment, and transmitting the acquired data to a background server;
s2, the background server receives the collected data, then calibrates the data obtained by calculation of the riverway water environment model based on the collected data, and takes the calibrated data as the parameter index of the regulation and control target;
s3, establishing an artificial neural network model at a background server end, taking the parameter index of the regulation target as the output of the artificial neural network model, taking the water delivery regulation scheme as the input, training the artificial neural network, and selecting and outputting the water delivery regulation scheme closest to the parameter index of the regulation target;
s4, inquiring data collected by data collection equipment under the water delivery regulation and control scheme closest to the regulation and control target parameter index, calculating an error between the data and the regulation and control target parameter, manually regulating the water delivery regulation and control scheme according to the error, then inputting the manually regulated water delivery scheme again as the step S3, and continuing learning and training;
and S5, recording the error of the manual regulation in the step S4, inputting the manual regulation behavior as a new variable, inputting the new variable into the manual neural network model again to participate in learning and learning manual intervention measures, realizing intelligent screening of a water delivery regulation and control scheme, and regulating the water power to reach the regulation and control target parameter index.
2. The gate pump hydrodynamics control method of claim 1, wherein in step S1, the channel parameters are collected using RTK equipment, the flow rate is measured using acoustic doppler flow profiler, and the water level is measured using water level gauge.
3. The gate pump hydraulic power control method of claim 1, wherein in step S1, the collected water quality parameters include turbidity, transparency, nitrification rate, water temperature, pH value, trace harmful chemical element content, bacteria content and NH3-N, COD, BOD5Degradation rate, DO, bottom sludge oxygen consumption rate, nitrification rate and denitrification rate.
4. The gate pump hydraulic power control method according to claim 1, wherein in step S2, the water diversion flow rate and the water diversion time are controlled by a water diversion control scheme, and the water diversion flow rate and the water diversion time serve as inputs.
5. The method as claimed in claim 1, wherein in step S3, the target parameter index of the selected section is used as the output condition.
6. The gate pump hydraulic power regulation method according to claim 5, wherein the regulation target parameter indexes comprise a water quality parameter, a flow rate and a water level.
7. The gate pump hydraulic power regulation method according to claim 6, wherein the regulation target parameter index comprises a water diversion time.
8. The gate pump hydrodynamics control method of claim 2, wherein the river parameters include river length, river width, river bottom elevation, section size, and gate size.
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