CN101403929B - Method and system for automatically controlling shutter drainage - Google Patents
Method and system for automatically controlling shutter drainage Download PDFInfo
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Abstract
The invention provides a method for controlling the discharge rate of a gate automatically. The method comprises obtaining hydrology monitoring data so as to obtain the real-time inflow rate of a river channel, obtaining the variable condition of the real-time flow of the river channel according to the real-time inflow rate of the river channel, obtaining the lift of a porous gate by adopting a neural network model and according to the variable condition of the real-time flow and the requirement of the discharge rate of the river channel, and controlling the unlocking of the gate according to the lift. The method of the invention integrates the characteristics of fast calculation speed of a single-dimensional hydraulic model, high calculation accuracy of a two-dimensional hydraulic model and intellectualization of the neural network model, therefore, the method guarantees not only the immediacy but also the accuracy, and effectively combines a hydrology model and the hydraulic model onto a unified management platform.
Description
Technical field
The present invention relates to Industry Control and technical field of automation, particularly relate to a kind of method and system of automatic control gate vent flow.
Background technology
Sluice is the water conservancy structure that the most frequently used a kind of low water head dash that arrives hold concurrently to sluice in the key water control project, and its groundwork principle is to rely on the gate control water level that can lifting opens and closes, regulate vent flow, thereby reaches the purpose of dash or sluicing.It is widely used in the hydraulic engineerings such as flood control, irrigation, draining, shipping, generating.
At present, the operation of sluice mainly relies on the operation manuals that calculate according to steady flow in advance to finish manually, there are two problems in this: the one, and streamflow is non-constant process under field conditions (factors), will certainly exist than mistake with actual conditions according to steady flow starting gate height control vent flow; The 2nd, finish manually and have certain experience, and efficient is lower.How effectively to address the above problem, improve benefit of water project and management level, simplify managerial personnel, adapt to the requirement of modernized water conservancy, become the scientific research task that needs to be resolved hurrily.
In recent years, communication and rapid development of computer technology provide possibility for addressing the above problem.Comprise the measurement of basin rain condition, regimen, worker's feelings, weather information and out of Memory and transmission technology because of the development of network and computing machine and become and be easy to realize, all kinds of professional automatic measuring equipments make data promptly be transferred to data processing centre (DPC) by approach such as networks, rely on large database that mass data is analyzed, screens, stored and excavates, call relevant Professional Model again these digital simulations are calculated, the staff makes respective handling according to result of calculation to the scene.But, in the data computation process, different mathematical models is distributed in the different branches of hydroscience, belongs to hydrology branch as producing the runoff concentration calculation model, one, two-dimentional Hydrodynamic Model belongs to hydraulics branch, still can not relevant model be integrated on the unified management platform from the angle of system.Therefore, carry out robotization control to shutter drainage, must accurately calculate the gate opening height, this just need effectively combine various mathematical models and gate control and carries out integral body and simulate.
In addition, how to determine that according to current actual flow situation in the river course and sluice dispatching principle the gate opening height also is the emphasis of scientific research in recent years always.At present, existing part numerical simulation software adopts one-dimensional hydrodynamic model homogenization method to calculate the Lift of single hole gate, and can be according to gate opening high computational river course inflow-rate of water turbine.This one dimension hydraulic model homogenization method is regarded the river as one dimension, speed is even in whole transversal section, and full section is considered as non-individual body, physical quantity such as flow, water-carrying section or water level, the depth of water, longshore current Cheng Jun regards continuous as, and they all are the continuous functions of time and flow process.But, porous gate system for complexity, because each lock chamber is in river channel cross section present position difference, flow-shape has certain influence to its conveyance capacity, and when calculating the gate opening height, then computational solution precision is lower if adopt one-dimensional hydrodynamic model homogenization computing method, if adopt two-dimentional Hydrodynamic Model computing method, though precision increases, slower because of the increase speed of the increase of computation complexity and computational data amount, can't satisfy the requirement of real time modelling scheduling.
In a word, need the urgent technical matters that solves of those skilled in the art to be exactly: how effectively in conjunction with various mathematical models and gate control, porous gate system to complexity carries out fast, accurately simulation, with more accurately control gate Lift and vent flow.
Summary of the invention
Technical matters to be solved by this invention provides a kind of method of automatic control gate vent flow, can be effectively in conjunction with various mathematical models and gate control, gate dam system to complexity carries out fast, accurately simulation, with more accurately control gate Lift and vent flow.
Another technical matters to be solved by this invention provides a kind of system of automatic control gate vent flow, in order to guarantee said method realization and application in practice.
In order to address the above problem, the embodiment of the invention provides a kind of method of automatic control gate vent flow, may further comprise the steps:
Obtain the hydrology Monitoring Data, and then obtain to enter the flow that becomes a mandarin in real time in river course;
Obtain the real-time current situation of change in described river course according to the flow that becomes a mandarin in real time in described river course;
Real-time current situation of change and vent flow according to described river course need, and utilize neural network model to obtain the Lift of porous gate;
Open according to described Lift control gate.
Preferably, described neural network model process is the training of sample with the data in the sample database, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.
Preferably, described neural network model is that neural network model is approached in the part.
Preferably, the described acquisition flow that becomes a mandarin in real time that enters the river course obtains for the rainfall runoff yield that calculates basin, place, described river course by hydrological distribution model.
Preferably, the real-time current situation of change that obtains described river course obtains for flow and the water level that calculates the real-time current in described river course by the one dimension hydraulic model.
Preferably, described control gate is opened and be may further comprise the steps:
Obtain the gate opening order;
Send execution command according to described gate opening order;
Open according to described execution command control gate headstock gear;
The current Lift of feedback gate headstock gear;
Whether the current Lift of judging described gate hoist reaches the gate opening height that calculates, if, then send and cease and desist order, stop gate hoist work; If not, then continue to start gate hoist work.
The embodiment of the invention also provides a kind of system of automatic control gate vent flow, it is characterized in that, comprising:
Numeral basin monitoring modular is used to obtain the hydrology Monitoring Data;
The hydrodynamic simulation module is used for the hydrology Monitoring Data according to the acquisition of described digital basin monitoring modular, calculates the Lift of gate, comprising:
The calculating sub module that becomes a mandarin is used for the hydrology Monitoring Data that obtains according to described digital basin monitoring modular, obtains to enter the flow that becomes a mandarin in real time in river course;
Real-time current calculating sub module is used for obtaining according to the flow that becomes a mandarin in real time that the described calculating sub module that becomes a mandarin obtains the real-time current situation of change in described river course;
The neural network model submodule is used for real-time current situation of change and river course vent flow needs that the described real-time current calculating sub module of foundation obtains, utilizes neural network model to obtain the Lift of porous gate;
And,
The gate control module is used for the Lift starting gate according to the gate of described hydrodynamic simulation module acquisition.
Preferably, described neural network model process is the training of sample with the data in the sample data, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.
Preferably, described neural network model is that neural network model is approached in the part.
Preferably, the described calculating sub module that the becomes a mandarin rainfall runoff yield that calculates basin, place, described river course by hydrological distribution model obtains entering the flow that becomes a mandarin in real time in river course.
Preferably, described real-time current calculating sub module is calculated the flow of the real-time current in described river course and the real-time current situation of change that water level obtains described river course by the one dimension hydraulic model.
Preferably, described gate control module comprises:
Central processing unit is used to obtain the gate opening order, and the current Lift data of gate hoist of receiving sensor feedback, and the Lift of the gate that obtains with described hydrodynamic simulation module compares, and sends execution command according to comparative result;
Actuator is used to obtain the execution command of described central processing unit;
Gate hoist is used for the execution command control gate headstock gear according to described actuator;
Sensor is used to feed back the current Lift of described gate hoist.
Compared with prior art, the present invention has the following advantages:
At first, the present invention uses neural network model will calculate the one dimension hydraulic model of river course inflow-rate of water turbine and the two-dimentional hydraulic model of calculating porous gate inflow-rate of water turbine is coupled together, the high characteristics of the fast and two-dimentional hydraulic model computational accuracy of one dimension hydraulic model computing velocity have effectively been utilized, when the porous gate is controlled, both guarantee real-time, guaranteed accuracy again.
Secondly, neural network model of the present invention has adopted the part to approach neural network model, force neural network model compare with the overall situation, it is right for each input-output that network is approached in the part, have only a spot of connection weight to adjust, thereby pace of learning is fast, has effectively guaranteed the real-time of porous gate control.
Then, the present invention uses hydrological distribution model to go out the flow that becomes a mandarin in river course according to the hydrologic monitoring data computation of collecting, and with the hydraulic parameter of flow that become a mandarin as the input parameter calculating river course of one dimension hydraulic model, thereby hydrology model and hydraulic model are effectively combined, solved hydrology model and hydraulic model for a long time and be difficult to be integrated into problem on the unified management platform.
Description of drawings
Fig. 1 is the flow chart of steps of the method embodiment of a kind of automatic control gate vent flow of the present invention;
Fig. 2 is the structured flowchart of the system embodiment of a kind of automatic control gate vent flow of the present invention;
Fig. 3 is that the present invention uses the flow chart of steps that system embodiment shown in Figure 2 is carried out shutter drainage control.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
One of core idea of the present invention is, the one dimension hydraulic model that uses neural network model will calculate the river course inflow-rate of water turbine is coupled together with the two-dimentional hydraulic model that calculates porous gate inflow-rate of water turbine, the gate opening height is calculated, and control gate is opened, and then the control gate vent flow.The present invention combines one dimension hydraulic model computing velocity fast, two-dimentional hydraulic model computational accuracy height and the intelligentized characteristics of neural network model, when the porous gate is controlled, both guaranteed real-time, guaranteed accuracy again, and hydrology model and hydraulic model effectively have been attached on the unified management platform.
With reference to figure 1, show the flow chart of steps of the method embodiment of a kind of automatic control gate vent flow of the present invention, can may further comprise the steps:
Step 101: obtain the hydrology Monitoring Data;
When rainfall took place the basin, river course, the hydrologic data data such as the water yield of rainfall data, the remittance of tributary, upstream, river course were collected in the monitoring station, basin, and these Monitoring Data are passed to the monitor database of being in charge of these hydrology data.
Step 102: the flow that becomes a mandarin in real time that obtains to enter the river course;
When rainfall took place basin, place, river course, after holding back and fill out hollow and ooze down through ground vegetation and coverture, to be the rainfall runoff yield flowed downward from domatic with the form of rainwash remaining rainfall, and then the remittance river course, and formation becomes a mandarin.In this step, the hydrology Monitoring Data in the monitor database of collecting when hydrological distribution model is utilized the basin rainfall calculates the flow that becomes a mandarin in real time that enters the river course.
Described hydrological distribution model often adopts runoff curve number (SCS) method to calculate flow path surface, and its concrete computing method are:
In the formula,
In the above-mentioned formula, Q
SurfBe every millimeter excess rainfall or direct run-off, R
DayBe every millimeter the accumulative total rainfall degree of depth, I
aBe every millimeter the initial abstraction water yield, comprise dam, the initial stage infiltrates, the low-lying area is filled out on the face of land, evapotranspiration and other factors.S is the maximum every millimeter water holding capacity of the possibility behind the beginning runoff yield, and this coefficient utilizes variations such as mode, mankind's activity and the gradient that respective change takes place with soil types, soil.
When hydrological distribution model application SCS method is inquired into by the run-off of period, pass through with the accumulative total rainfall of each period end
Formula is calculated corresponding accumulative total runoff, the cumulative path flow of more adjacent period is subtracted each other, and obtains the run-off of per period.Multiply by place, river course drainage area with this run-off, promptly obtain entering the flow that becomes a mandarin in real time in river course again divided by rain time.
In actual applications, those skilled in the art also can adopt other model or method to calculate the flow that becomes a mandarin in real time that enters the river course, and the present invention need not make restriction to this.
Step 103: the real-time current situation of change that obtains described river course according to the flow that becomes a mandarin in real time in described river course;
According to the flow that becomes a mandarin in real time that enters the river course that is calculated by hydrological distribution model, the one dimension hydraulic model calculates situations such as the real-time flow of current in the river course, SEA LEVEL VARIATION.In the present embodiment, the one dimension hydraulic model uses the real-time traffic and the water level in St.Venant Equation for Calculating river course.St.Venant Equation for Calculating method is as follows, comprising:
Continuity equation
The equation of motion
In the formula, Q is the water-carrying section average discharge,
For thanking to just resistance coefficient, R is the hydraulic radius of water-carrying section, and z is a water level.
Be well known that,, only under the Utopian situation of only a few, just can obtain analytic solution for above-mentioned nonlinear partial differential equation group.Under actual conditions, generally all must take numerical method, approach a unlimited point in the continuum with limited discrete net point, approach accurately with approximate solution discrete on these nodes and separate, numerical method commonly used has difference, characteristic curve, finite element, limited bulk, boundary element etc.For the d Unsteady Water Flow problem, difference method is still used the most generally, and wherein there is the method for many improved distortion in difference scheme, and present embodiment adopts 4 eccentric implicit difference schemes, adopts chasing method to find the solution.
In actual applications, those skilled in the art also can adopt other model or method to obtain the real-time current situation of change in river course, and the present invention need not make restriction to this.
Step 104: real-time current situation of change and vent flow according to described river course need, and utilize neural network model to obtain the Lift of porous gate;
Wherein, described neural network model is through being that neural network model is approached in part after the training of sample with the data in the sample database, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.Specifically, neural network model is trained can comprise following substep:
Substep A1: import the characteristic in described river course, and, sample flow and waterlevel data;
The characteristic in river course can comprise data such as channel length, width, river bed landform and gate position; Simultaneously, input is as the analogue flow rate and the water level of sample data.
Substep A2: generate sample database;
Utilize the gate earial drainage data of two-dimentional hydraulic model, generate the sample database that comprises above-mentioned data according to the different gate opening height of the data computation among the substep A1, a plurality of operating modes of different water level before gates.
The overall governing equation of two-dimentional hydraulic model of present embodiment adopts two-dimentional current continuity equation and the equation of motion as follows:
In the formula, u, v represent x, y direction water movement speed respectively, and h is the depth of water, and g is an acceleration of gravity, and C is for thanking just coefficient, v
tBe the turbulent fluctuation coefficient of viscosity.Adopt chasing method to find the solution to above-mentioned equation, promptly suppose to have the once linear funtcional relationship between the water level of respective nodes and the flow velocity, the difference form simultaneous with itself and governing equation can get shape such as u=C
M+ C
NH and h=C
I+ C
JThe relational expression of u, wherein C
M, C
N, C
I, C
JBe the cycle calculations coefficient,, can in the process that chases after, obtain respectively, in the process of catching up with, obtain flow rate corresponding and water level then in conjunction with inlet velocity and two boundary conditions of outlet water level.
For the flow problem of crossing at gate place, if gate opening arrives certain altitude, the current through the lockage hole are not controlled by gate, and then its upstream and downstream water surface curve is continuous, can directly adopt said method to calculate; When the overcurrent mode went out to flow for the lock hole, the current through the lockage hole were subjected to gate control, because the variation of external condition makes the x of gate place direction water level produce sudden change, the water surface is discontinuous, must do special processing according to its hydraulic performance.To this, the place is the separatrix with the gate place, and the river course is divided into upstream and downstream two parts, and the gate place depth of water, x utilize the lock hole to go out to flow formula coupling chasing method to flow velocity and obtain, as the export boundary condition of gate upper reach and the import boundary condition of lower reache, catch up with calculating respectively.Wherein, the lock hole go out to flow formula according to lock after the difference of hydraulic jump position be divided into two kinds of free discharge formula and submerge discharging flow formula, as follows:
Lock hole free discharge formula:
Lock hole submerge discharging flow formula:
In the formula, μ
0Be lock hole free discharge coefficient of flow, σ
sFor flooding coefficient, e is a gatage, and b is a lock hole clear span, H
0Be the pocket floor weir head.The gate place depth of water foundation and the corresponding depth of water of the previous calculating node of gate go out to flow the derivation of equation by the lock hole and obtain, and the gate place depth of water is the gate opening height.
Substep A3: neural network training model.
Present embodiment uses the part to approach neural network model, adopts supervised learning algorithm to train, and makes all parameters all experience the process of an error correction study.It is right for each input-output that neural network model is approached in described part, have only a spot of connection weight to adjust, thereby training speed is fast, and good real-time performance is arranged., as output data neural network model is trained as the input data with described sample flow and water level with gate opening height corresponding and gate earial drainage data with it.
When calculating in real time, trained neural network model in conjunction with desired letdown flow, calculates the Lift of porous gate according near real-time traffic the river course gate and water level.
Need to prove that in actual applications, those skilled in the art also can adopt other model or method to generate sample database, the present invention need not make restriction to this.
Step 105: open according to gate opening height control gate.
Neural network model calculates the Lift of porous gate, send to the central processing unit of gate hoist with the form of order, central processing unit makes actuator start working, send execution command, starting gate hoist begins to rise or descend, the gate sensor will reflect that the feedback information of gate hoist Lift feeds back to central processing unit and also it and the gate opening height that calculates compared, if gate hoist has reached specified altitude assignment, then central processing unit sends to cease and desist order and makes actuator work, actuator sends halt instruction, and the control gate headstock gear is shut down; If gate hoist is not also opened and arrived specified altitude assignment, then work on, until being opened to specified altitude assignment.
In addition, when the gate in river course was the single hole gate, the present invention can utilize model described in one dimension hydraulic model such as the step 103, need according to the real-time current situation of change and the vent flow in river course, directly calculate the Lift that obtains the single hole gate, and open according to this Lift control gate.
Need to prove, this method embodiment is for simple description, it is expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not subjected to the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in the instructions all belongs to preferred embodiment, and related action and module might not be that the present invention is necessary.
With reference to figure 2, show the structured flowchart of the system embodiment of a kind of automatic control gate vent flow of the present invention, can comprise:
Numeral basin monitoring modular 201 is used to obtain the hydrology Monitoring Data;
Hydrodynamic simulation module 202 is used for the Monitoring Data according to the acquisition of described digital basin monitoring modular, calculates the Lift of gate, comprising:
The calculating sub module 2021 that becomes a mandarin is used for the hydrology Monitoring Data that obtains according to described digital basin monitoring modular, obtains to enter the flow that becomes a mandarin in real time in river course;
Preferably, this submodule can obtain entering the flow that becomes a mandarin in real time in river course by the rainfall runoff yield that hydrological distribution model is calculated basin, place, described river course.
Real-time current calculating sub module 2022 is used for obtaining according to the flow that becomes a mandarin in real time that the described calculating sub module that becomes a mandarin obtains the real-time current situation of change in described river course;
Preferably, this submodule can calculate the flow of the real-time current in described river course and the real-time current situation of change that water level obtains described river course by the one dimension hydraulic model.
Neural network model submodule 2023 is used for real-time current situation of change and river course vent flow needs that the described real-time current calculating sub module of foundation obtains, utilizes neural network model to obtain the Lift of porous gate;
Preferably, described neural network model process is the training of sample with the data in the sample data, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.
Preferably, described neural network model can approach neural network model for the part.
Gate control module 203 is used for the Lift starting gate according to the gate of described hydrodynamic simulation module acquisition.
Preferably, the gate control module can further include:
Central processing unit 2031 is used to obtain the gate opening order, and the current Lift data of gate hoist of receiving sensor feedback, and the Lift of the gate that obtains with described hydrodynamic simulation module compares, and sends execution command according to comparative result;
Actuator 2032 is used to obtain the execution command of described central processing unit;
Gate hoist 2033 is used for the execution command control gate headstock gear according to described actuator;
Sensor 2034 is used to feed back the current Lift of described gate hoist.
With reference to figure 3, show the present invention and use the flow chart of steps that system embodiment shown in Figure 2 is carried out shutter drainage control, can may further comprise the steps:
Step 301: digital basin monitoring modular obtains the hydrology Monitoring Data;
Numeral basin monitoring modular mainly is made of the monitoring station, basin, and when rainfall took place the basin, river course, digital basin monitoring modular was collected described hydraulic condition of river Hygienic monitoring on hands of childhood data.
Step 302: the hydrology Monitoring Data that the calculating sub module that becomes a mandarin of hydrodynamic simulation module obtains according to described digital basin monitoring modular, acquisition enters the flow that becomes a mandarin in real time in river course;
The calculating sub module that becomes a mandarin is calculated the rainfall runoff yield in basin, place, described river course by hydrological distribution model, obtains entering the flow that becomes a mandarin in real time in river course.Those skilled in the art also can adopt other model or method to calculate the flow that becomes a mandarin in real time that enters the river course, and the present invention need not make restriction to this.
Step 303: the flow that becomes a mandarin in real time that the real-time current calculating sub module of hydrodynamic simulation module obtains according to the described calculating sub module that becomes a mandarin obtains the real-time current situation of change in described river course;
In real time the current calculating sub module is calculated the flow and the water level of the real-time current in described river course by the one dimension hydraulic model, obtains the real-time current situation of change in described river course, and the one dimension hydraulic model of present embodiment has adopted the St.Venant equation.Those skilled in the art also can adopt other model or method to obtain the real-time current situation of change in river course, and the present invention need not make restriction to this.
Step 304: the neural network model submodule of hydrodynamic simulation module utilizes neural network model to obtain the Lift of porous gate according to real-time current situation of change and river course vent flow needs that described real-time current calculating sub module obtains;
Wherein, described neural network model is for through being that neural network model is approached in the part of the training of sample with the data in the sample data, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.
Step 305: the gate control module is according to the Lift starting gate of the gate of described hydrodynamic simulation module acquisition.
The hydrodynamic simulation module is order with the gate opening height, send to the central processing unit of gate control module, central processing unit makes actuator start working, send execution command, starting gate hoist begins to rise or descend, the gate sensor will reflect that the feedback information of gate hoist Lift feeds back to central processing unit and also it and the gate opening height that calculates compared, if gate hoist has reached specified altitude assignment, then central processing unit sends to cease and desist order and makes actuator work, actuator sends halt instruction, and the control gate headstock gear is shut down; If gate hoist is not also opened and arrived specified altitude assignment, then work on, until being opened to specified altitude assignment.In order to understand the gate hoist working condition more easily, alarm can also be set, when gate hoist arrived the specified altitude assignment shutdown, alarm sent alerting signal, and prompting staff gate opening is finished.
Because embodiment shown in Figure 3 can correspondence be applicable among the aforesaid automatic control gate vent flow method embodiment that so description is comparatively simple, not detailed part can be referring to the description of this instructions front appropriate section.
More than the method and system of a kind of automatic control gate vent flow provided by the present invention is described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (12)
1. the method for an automatic control gate vent flow is characterized in that, may further comprise the steps:
Obtain the hydrology Monitoring Data, and then obtain to enter the flow that becomes a mandarin in real time in river course;
Obtain the real-time current situation of change in described river course according to the flow that becomes a mandarin in real time in described river course;
Real-time current situation of change and vent flow according to described river course need, and utilize neural network model to obtain the Lift of porous gate;
Open according to described Lift control gate.
2. method according to claim 1, it is characterized in that, described neural network model process is the training of sample with the data in the sample database, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.
3. method according to claim 1 and 2 is characterized in that, described neural network model is that neural network model is approached in the part.
4. method according to claim 1 and 2 is characterized in that, the flow that becomes a mandarin in real time that described acquisition enters the river course obtains for the rainfall runoff yield that calculates basin, place, described river course by hydrological distribution model.
5. method according to claim 1 and 2 is characterized in that, the real-time current situation of change that obtains described river course obtains for flow and the water level that calculates the real-time current in described river course by the one dimension hydraulic model.
6. method according to claim 1 and 2 is characterized in that, described control gate is opened and be may further comprise the steps:
Obtain the gate opening order;
Send execution command according to described gate opening order;
Open according to described execution command control gate headstock gear;
The current Lift of feedback gate headstock gear;
Whether the current Lift of judging described gate hoist reaches the gate opening height that calculates, if, then send and cease and desist order, stop gate hoist work; If not, then continue to start gate hoist work.
7. the system of an automatic control gate vent flow is characterized in that, comprising:
Numeral basin monitoring modular is used to obtain the hydrology Monitoring Data; The hydrodynamic simulation module, be used for hydrology Monitoring Data according to the acquisition of described digital basin monitoring modular, calculate the Lift of gate, comprise: calculating sub module becomes a mandarin, be used for hydrology Monitoring Data, obtain to enter the flow that becomes a mandarin in real time in river course according to the acquisition of described digital basin monitoring modular; Real-time current calculating sub module is used for obtaining according to the flow that becomes a mandarin in real time that the described calculating sub module that becomes a mandarin obtains the real-time current situation of change in described river course; The neural network model submodule is used for real-time current situation of change and river course vent flow needs that the described real-time current calculating sub module of foundation obtains, utilizes neural network model to obtain the Lift of porous gate; And the gate control module is used for the Lift starting gate according to the gate of described hydrodynamic simulation module acquisition.
8. system according to claim 7, it is characterized in that, described neural network model process is the training of sample with the data in the sample data, described sample database is the hydrology characteristic according to described river course, the database that comprises gate opening height and gate earial drainage data that utilizes two-dimentional hydraulic model to generate.
9. according to claim 7 or 8 described systems, it is characterized in that described neural network model is that neural network model is approached in the part.
10. according to claim 7 or 8 described systems, it is characterized in that the rainfall runoff yield that the described calculating sub module that becomes a mandarin is calculated basin, place, described river course by hydrological distribution model obtains entering the flow that becomes a mandarin in real time in river course.
11., it is characterized in that described real-time current calculating sub module is calculated the flow of the real-time current in described river course and the real-time current situation of change that water level obtains described river course by the one dimension hydraulic model according to claim 7 or 8 described systems.
12., it is characterized in that described gate control module comprises according to claim 7 or 8 described systems:
Central processing unit is used to obtain the gate opening order, and the current Lift data of gate hoist of receiving sensor feedback, and the Lift of the gate that obtains with described hydrodynamic simulation module compares, and sends execution command according to comparative result;
Actuator is used to obtain the execution command of described central processing unit;
Gate hoist is used for the execution command control gate headstock gear according to described actuator;
Sensor is used to feed back the current Lift of described gate hoist.
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| CN2008102257024A CN101403929B (en) | 2008-11-06 | 2008-11-06 | Method and system for automatically controlling shutter drainage |
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| CN2008102257024A CN101403929B (en) | 2008-11-06 | 2008-11-06 | Method and system for automatically controlling shutter drainage |
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| CN101403929B true CN101403929B (en) | 2010-07-07 |
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| CN102608282B (en) * | 2011-01-21 | 2015-03-25 | 环境保护部信息中心 | Water quality information computing device and method |
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| CN103365309A (en) * | 2013-07-16 | 2013-10-23 | 镇江市新创计算机系统集成有限公司 | Operation monitoring system of river channel check gate |
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| CN110110455B (en) * | 2019-05-13 | 2020-01-07 | 中国水利水电科学研究院 | Method for regulating gate opening under given flow |
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| CN115309199B (en) * | 2022-08-08 | 2023-05-09 | 水利部交通运输部国家能源局南京水利科学研究院 | Method and system for controlling basic flow of downstream channel of junction based on channel scale |
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