CN112989538B - Control method and control device for urban drainage system - Google Patents

Control method and control device for urban drainage system Download PDF

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CN112989538B
CN112989538B CN202110342744.1A CN202110342744A CN112989538B CN 112989538 B CN112989538 B CN 112989538B CN 202110342744 A CN202110342744 A CN 202110342744A CN 112989538 B CN112989538 B CN 112989538B
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CN112989538A (en
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董欣
王一茗
徐智伟
曾思育
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Tsinghua University
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Abstract

The application relates to a control method and a control device for an urban drainage system. The urban drainage system control method comprises the following steps: acquiring a complete simulation model of the urban drainage system, and simplifying the simulation model to obtain a simplified simulation model; acquiring a historical flow value of an inflow point in the simulation model and the current rainfall and the future predicted rainfall of the area where the urban drainage system is located, and determining the future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall; and simulating the overflow amount of the outlet flow point injected with the future flow value under different control strategies by adopting a simplified simulation model, determining the control strategy, and adjusting the control mode of the water quantity facility to ensure that the overflow amount of the urban drainage system is below a target overflow amount. The method aims to provide a method for quickly and accurately obtaining the control strategy for ensuring the overflow volume in the urban drainage system to be below the standard value, so that a proper control strategy can be quickly found, and the condition of waterlogging in the urban drainage system is improved.

Description

Control method and control device for urban drainage system
Technical Field
The present application relates to the field of urban drainage technologies, and in particular, to a method and an apparatus for controlling an urban drainage system.
Background
Along with the more perfect of modern house sanitary equipment, the more and more high-rise buildings, the denser population and the more and more sewage generated by domestic water. Meanwhile, with the development of the industry, the amount of industrial wastewater is more and more. In addition, rainfall causes great challenges to urban drainage systems, so that the urban drainage systems need to be simulated to find an optimal control strategy for drainage facilities.
In the conventional technology, when the optimal control strategy of the drainage facility is calculated, a linearization processing method is used, model parameters are modified to be in accordance with the linearization relation, and then the control strategy is solved.
The control strategy of the drainage facility is obtained by using the traditional technology, and the simulation accuracy of the nonlinear relation between the actual facilities is low.
Disclosure of Invention
In view of the above, it is necessary to provide a control method and a control device for an urban drainage system, which can accurately obtain an optimal control strategy for a water amount control facility in the drainage system.
A control method of a municipal drainage system comprises the following steps: acquiring a complete simulation model of an urban drainage system, wherein the urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and a drainage pipeline, the inflow point and the outflow point are used for being communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipeline; simplifying the complete simulation model to obtain a simplified simulation model; acquiring a historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located; determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall; and simulating the overflow volume of the urban drainage system under different control strategies after the water with the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy, wherein the target control strategy comprises a control mode of the water quantity control facility, so that the overflow volume of the urban drainage system is below a target overflow volume.
In one embodiment, the obtaining a complete simulation model of the municipal drainage system includes: obtaining a model file of a city drainage system; if the model file is in an inp format, converting the model file into a complete simulation model of the urban drainage system; and if the model file is in an icmm format, converting the model file in the icmm format into the model file in the inp format according to the corresponding relation between the model file in the inp format and the model file in the icmm format, and converting the model file in the inp format into the complete simulation model of the urban drainage system.
In one embodiment, the simplifying the complete simulation model to obtain a simplified simulation model includes: dividing the complete simulation model into a plurality of subareas by using the water quantity control facilities and the inflow points as boundary points; and simplifying the drainage pipeline in the same region in the complete simulation model to obtain a simplified simulation model.
In one embodiment, the simplifying the drain pipelines in the simulation model located in the same one of the regions includes: if the difference of the slopes of two adjacent water drainage pipelines is within the range of the difference of the slopes and the cross sections of the two adjacent water drainage pipelines are the same in shape, merging the two water drainage pipelines; if the pipe diameter ratio of the drainage pipeline to the main pipeline is smaller than or equal to the pipe diameter ratio range and the length of the drainage pipeline is smaller than or equal to the length threshold value, merging the drainage pipeline into the main pipeline; or, a virtual pipeline is adopted to replace all the drainage pipelines in the same one wafer area.
In one embodiment, the obtaining the historical flow value of the inflow point and the current rainfall and future predicted rainfall of the area where the urban drainage system is located includes: acquiring a historical flow value of the inflow point through a flow meter arranged in an area where a gate, a pump station and a regulation and storage pool in the urban drainage system are located; acquiring the current rainfall of the area where the urban drainage system is located through a rain gauge arranged in the area where the urban drainage system is located; and obtaining the future predicted rainfall of the area where the urban drainage system is located from a meteorological website.
In one embodiment, the determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall comprises: and inputting the historical flow value, the current rainfall and the future predicted rainfall into a long-short term memory artificial neural network to obtain a future flow value of the inflow point output by the long-short term memory artificial neural network.
In one embodiment, the method further comprises: and verifying the accuracy of the simplified simulation model.
A control device for a municipal drainage system, comprising: the system comprises a model acquisition module, a simulation module and a simulation module, wherein the model acquisition module is used for acquiring a complete simulation model of the urban drainage system, the urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and a drainage pipeline, the inflow point and the outflow point are used for being communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipeline; the model simplifying module is used for simplifying the complete simulation model to obtain a simplified simulation model; the data acquisition module is used for acquiring the historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located; the data determining module is used for determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall; and the strategy determining module is used for simulating the overflow volume of the urban drainage system under different control strategies after the water quantity of the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy, wherein the target control strategy comprises a control mode of a water quantity control facility in the urban drainage system, so that the overflow volume of the urban drainage system is below a target overflow volume.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a complete simulation model of an urban drainage system, wherein the urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and a drainage pipeline, the inflow point and the outflow point are used for being communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipeline;
simplifying the complete simulation model to obtain a simplified simulation model;
acquiring a historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located;
determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall;
and simulating the overflow volume of the urban drainage system under different control strategies after the water with the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy, wherein the target control strategy comprises a control mode of the water quantity control facility, so that the overflow volume of the urban drainage system is below a target overflow volume.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a complete simulation model of an urban drainage system, wherein the urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and a drainage pipeline, the inflow point and the outflow point are used for being communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipeline;
simplifying the complete simulation model to obtain a simplified simulation model;
acquiring a historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located;
determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall;
and simulating the overflow volume of the urban drainage system after the water with the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy, wherein the target control strategy comprises a control mode of the water control facility so as to enable the overflow volume of the urban drainage system to be below a target overflow volume.
According to the control method and the control device of the drainage system, the complete simulation model of the urban drainage system is obtained, and the complete simulation model is simplified, so that the simplified simulation model can be obtained. The urban drainage system comprises an inflow point, an outflow point, a water quantity control facility and a drainage pipeline, wherein the inflow point is communicated with the outside, the drainage pipeline is communicated with the inflow point and the water quantity control facility, and the future flow value of the inflow point can be calculated according to the historical flow value, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located by obtaining the historical flow value of the inflow point, the current rainfall and the future predicted rainfall. And finally, simulating an overflow value of the urban drainage system after the water with the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy for ensuring that the overflow volume of the urban drainage system is below a target overflow volume. The control mode of the water quantity control facility in the urban drainage system is adjusted according to the control strategy, so that the overflow quantity of the urban drainage system is below the target overflow quantity. And the simplified simulation model is obtained by simplifying the complete simulation model, the simulation speed of the simulation model is accelerated, and the model simulation time is shortened, so that an optimized control strategy can be rapidly obtained in real time according to the characteristics of current rainfall, the control mode of the water quantity control facility can be timely and accurately adjusted according to the control strategy, the overflow quantity of the urban drainage system is below the target overflow quantity, and the condition of waterlogging and inundation is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a municipal drainage control method in one embodiment;
FIG. 2 is a flow diagram of a method for obtaining a simulation model in one embodiment;
FIG. 3 is a flow diagram of a simplified method of simulating a model in one embodiment;
FIG. 4 is a block diagram of the construction of a municipal drainage control apparatus according to one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
As described in the background art, the method for calculating the control strategy of the drainage facility in the prior art has the problems that the obtained control strategy is inaccurate and the use is limited, and the inventor researches and discovers that the problems are caused in the prior art because the drainage system model is linearized to obtain a linearized model file, parameters in the model are modified to enable the model to meet the linearization requirement, and then the linearized model is used to obtain the control strategy of the drainage facility, so that the obtained control strategy is inaccurate compared with the actual situation.
Based on the reasons, the invention provides a control method of an urban drainage system, which is used for obtaining a complete simulation model of the urban drainage system, simplifying the complete simulation model and obtaining a simplified simulation model. The urban drainage system comprises an inflow point, a water quantity control facility and a drainage pipeline, wherein the inflow point is communicated with the outside, the drainage pipeline is communicated with the inflow point and the water quantity control facility, and the future flow value of the inflow point can be obtained through calculation according to the historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located by obtaining the historical flow value of the inflow point, the current rainfall and the future predicted rainfall. And finally, simulating the overflow values of the urban drainage system under different control strategies after the water quantity of the urban drainage system with the future flow value is injected at the inflow point by adopting a simplified simulation model, and determining a target control strategy for ensuring the overflow quantity of the urban drainage system to be lower than the target overflow quantity. And adjusting the control mode of the water quantity control facility in the urban drainage system according to the control strategy, so that the overflow quantity of the urban drainage system is below the target overflow quantity. And the simplified simulation model is obtained by simplifying the complete simulation model, the simulation speed of the simulation model is accelerated, and the model simulation time is shortened, so that an optimized control strategy can be rapidly obtained in real time according to the characteristics of current rainfall, the control mode of the water quantity control facility can be timely and accurately adjusted according to the control strategy, the overflow quantity of the urban drainage system is below the target overflow quantity, and the condition of waterlogging and inundation is improved.
In one embodiment, as shown in fig. 1, there is provided a municipal drainage system control method, comprising:
and S100, acquiring a complete simulation model of the urban drainage system.
The urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and drainage pipelines, wherein the inflow point and the outflow point are communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipelines.
Illustratively, the water volume control facilities include pumping stations, gates, and storage tanks.
And S110, simplifying the complete simulation model of the urban drainage system to obtain a simplified simulation model.
And step S120, acquiring a historical flow value of an inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located.
And step S130, determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall.
And step S140, simulating the overflow volume of the urban drainage system under different control strategies after the water volume of the urban drainage system with the future flow value is injected at the inflow point by adopting a simplified simulation model, and determining a target control strategy.
The target control strategy comprises a control mode of the water quantity control facility, so that the overflow quantity of the urban drainage system is below a target overflow quantity.
Illustratively, the target control strategy includes a time series of operations of pumping stations, gates, and storage tanks under certain rainfall conditions. The time sequence of the operations of the pump station, the gate and the regulation and storage pool comprises the opening degree of the gate, the flow of pumping and drainage of the control pump station and the drainage quantity of the regulation and storage pool at different time points.
For example, as shown in table one below, the time series of the operation of the gate includes different opening degrees of the gate corresponding to different rainfall intensities at different time points within a certain time.
Table-rainfall intensity and gate opening corresponding relation table
Time Rainfall intensity (mm/h) Opening degree of gate
00:00 0 0
00:15 5 0.25
00:30 12 0.25
00:45 15 0.50
01:00 15 0.75
01:15 4 1.0
01:30 0 1.0
According to the control method of the urban drainage system, the complete simulation model of the urban drainage system is obtained, and the complete simulation model is simplified, so that the simplified simulation model can be obtained. The urban drainage system comprises an inflow point, an outflow point, a water quantity control facility and a drainage pipeline, wherein the inflow point is communicated with the outside, the drainage pipeline is communicated with the inflow point and the water quantity control facility, and the future flow value of the inflow point can be calculated according to the historical flow value, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located by obtaining the historical flow value of the inflow point, the current rainfall and the future predicted rainfall. And finally, simulating the overflow values of the urban drainage system under different control strategies after the water quantity of the urban drainage system with the future flow value is injected at the inflow point by adopting a simplified simulation model, and determining a target control strategy for ensuring the overflow quantity of the urban drainage system to be lower than the target overflow quantity. And adjusting the control mode of the water quantity control facility in the urban drainage system according to the control strategy, so that the overflow quantity of the urban drainage system is below the target overflow quantity. And the simplified simulation model is obtained by simplifying the complete simulation model, the simulation speed of the simulation model is accelerated, and the model simulation time is shortened, so that an optimized control strategy can be rapidly obtained in real time according to the characteristics of current rainfall, the control mode of the water quantity control facility can be timely and accurately adjusted according to the control strategy, the overflow quantity of the urban drainage system is below the target overflow quantity, and the condition of waterlogging and inundation is improved.
In one embodiment, as shown in fig. 2, the step S100 includes:
and step S200, obtaining a model file of the urban drainage system. If the model file is in the icmm format, executing step S210; if the model file is in inp format, go to step S220.
Exemplarily, the step S200 may include: and obtaining a model file of the urban drainage system from a drainage system operation management unit.
And step S210, converting the model file in the icmm format into the model file in the inp format according to the corresponding relation between the model file in the inp format and the model file in the icmm format.
Illustratively, the step S210 may include: the drainage model file in the icmm format is obtained by using InfoWorks ICM software.
Illustratively, the step S210 may include: the method for converting the model file in the icmm format into the model file in the inp format comprises the following steps:
s2101, generating an attribute table corresponding to the model file in the icmm format;
illustratively, the attribute table corresponding to the model file in the icmm format comprises an Excel attribute table of points, lines and sub-catchment areas in the icmm model, and all attribute information of the points, lines and sub-catchment areas in the icmm model is recorded in the table.
For example, as shown in the following table two, the following table two is an attribute table of points in the icmm model, and includes attributes such as types, coordinates, ground elevations, and the like of the points.
Table attribute table for points in two icmm model
Point numbering Dot type Type of system Abscissa of the circle Ordinate of the curve Ground elevation
A2050261946 Manhole Storm 886104 2564094 1887.632
A2050261947 Manhole Storm 886111 2564105 1887.58
A2050261948 Manhole Storm 886200 2564436 1887.725
Step S2102, converting the attribute table of the icmm format model file into an inp format model attribute table;
illustratively, the conversion mode is to correspondingly fill the attribute information of the points, lines and sub-catchment areas of the Model in the attribute table of the icmm format Model file into the attribute table of the inp format Model file, and generate an attribute table which can be identified by SWMM (Storm Water Management Model) software.
For example, the attribute table of the icmm-format model file is an Excel table, and the attribute table of the inp-format model file is a txt format, so that the attribute information of a point, a line, and a sub-catchment area in the attribute table of the icmm-format model file needs to be rewritten into the attribute table of the inp-format model file in the txt format.
Step S2103, generating a simulation model in an inp format;
illustratively, the attribute table of the inp format Model file is imported into SWMM (Storm Water Management Model) software, so as to obtain the inp format Model file.
And step S220, converting the model file in the inp format into a complete simulation model of the urban drainage system.
Illustratively, the inp-formatted simulation Model is obtained by SWMM (Storm Water Management Model, open source software Storm runoff Management Model).
In this embodiment, a method for converting a model file in an icmm format into a model file in an inp format is provided, so that the method is applicable to model files in two formats.
In one embodiment, as shown in fig. 3, the step S110 includes:
and step S300, dividing the complete simulation model into a plurality of areas by using water quantity control facilities and the inflow point as boundary points.
Illustratively, the boundary points include: the most upstream node and the most downstream node in the drainage system, the node connected with the external river channel and the node representing the water volume control facility.
Illustratively, the most upstream node includes an ingress point or a node without an upstream node, and the most downstream node includes an egress point or a node without a downstream node.
Illustratively, the nodes include connection points for the various pipes, water control facilities, catchments, inflow points, and outflow points.
Illustratively, the method of searching for a boundary point includes: searching nodes from one node upwards and downwards; if the boundary point is found, stopping finding and recording the boundary point; if no boundary point is found, changing the searching direction; and repeating the actions to search nodes upstream and downstream of the boundary point from the found boundary point until all the boundary points are searched.
After all the boundary points are searched, nodes at the most upstream and the most downstream of all the boundary points can be marked as first-class boundary points, nodes connected with an external river channel in all the boundary points can be marked as second-class boundary points, and nodes representing water quantity control facilities in all the boundary points can be marked as third-class boundary points. And recording the point connected with the second type boundary point through the pipeline as an overflow port node.
And S310, simplifying drainage pipelines in the same partition in the complete simulation model to obtain a simplified simulation model.
In one embodiment, this step S310 includes: if the difference of the slopes of two adjacent water drainage pipelines is within the range of the difference of the slopes and the cross sections of the two adjacent water drainage pipelines are the same in shape, merging the two water drainage pipelines; if the pipe diameter ratio of the drainage pipeline to the main pipeline is smaller than or equal to the pipe diameter ratio range and the length of the drainage pipeline is smaller than or equal to the length threshold value, the drainage pipeline is merged into the main pipeline.
Illustratively, the difference in slope ranges is such that the difference in slope of two adjacent pipes is no more than 5% of the slope value of the pipe upstream.
Illustratively, pipes where one of the nodes upstream and downstream of the pipe belongs to a third class boundary point or overflow node cannot be merged.
Illustratively, conduits having two or more upstream conduits and/or two or more downstream conduits do not merge.
Illustratively, the length of the merged pipe does not exceed a preset threshold, preferably the threshold is 20 times the average length of the pipes participating in the merging.
Illustratively, the pipe diameter ratio ranges from a pipe diameter of the pipe no more than 60% of the pipe diameter of the trunk pipe.
Illustratively, the length threshold is 200 meters.
In another embodiment, the step S310 includes: and a virtual pipeline is adopted to replace all the water drainage pipelines in the same parcel.
The virtual pipeline is a pipeline which only records the rainfall and the sewage at all outflow points of the film zone.
Illustratively, a condition that a virtual pipe can be employed is that the number of common boundary points of a patch and an adjacent patch is less than 3.
For example, if a water return phenomenon exists at the outflow point of a patch, such as a case where the amount of rainwater at the outflow point of the patch increases by 20% but the flow value at the outflow point increases by less than 5%, the patch cannot be replaced by a virtual pipeline.
Illustratively, if there is a complex response relationship between the recorded rainfall and sewage at the outflow point of the patch and the rainfall, such as one rainfall peak but more than two rainfall and sewage peaks at the outflow point, the patch cannot be replaced by a virtual pipe.
Wherein the flow peak value is a maximum value of the flow value occurring in the middle of a period of time.
For example, the simplified simulation model can complete one simulation within 2 minutes, so that the control strategy can be obtained rapidly according to the characteristics of the current rainfall.
In the embodiment, the simulation model of the drainage system is simplified, and the number of pipelines in the model is reduced, so that the number of differential equations in model solution is reduced, the calculation efficiency of the model is improved, the simulation speed of the simulation model is accelerated, the simulation time of the model is shortened, and a control strategy can be rapidly obtained according to the characteristics of current rainfall.
In one embodiment, the step S120 includes: acquiring a historical flow value of an inflow point through a flow meter arranged in an area where a gate, a pump station and a regulation and storage pool in the urban drainage system are located; acquiring the current rainfall of the area where the urban drainage system is located through a rain gauge arranged in the area where the urban drainage system is located; and obtaining the future predicted rainfall of the area where the urban drainage system is located from the meteorological website.
In this embodiment, the required historical flow value, current rainfall and future predicted rainfall are obtained through a flowmeter, a rain gauge and a weather website.
In one embodiment, the step S130 includes: and inputting the historical flow value, the current rainfall and the future predicted rainfall into the long-short term memory artificial neural network to obtain the future flow value of the inflow point output by the long-short term memory artificial neural network.
Illustratively, the principle formula of the long-short term memory artificial neural network includes:
an input gate: it is sigma (Wixt + Uiht-1+ bi)
Forget the door: ft ═ σ (Wfxt + Ufht-1+ bf)
An output gate: ot ═ sigma (Wext + Uoht-1+ bo)
The cell states include:
memory neurons:
Figure BDA0002999753130000111
new memory neurons:
Figure BDA0002999753130000112
hidden state output:
Figure BDA0002999753130000113
where σ () refers to a sigmoid function whose output is between 0-1 and thus can represent the proportion of information forgotten/stored/transferred in different gates, and tanh () represents a hyperbolic tangent function. x is the number of t ,h t ,i t ,f t ,o t Respectively generation by generationInput vector, hidden state output, input gate, forgetting gate and output gate at the moment of table t. W, U, b represent a combination of weights and offsets for different gates.
In the embodiment, the long-term and short-term artificial neural network is adopted, the strong time sequence processing capacity of the long-term and short-term artificial neural network and historical data cooperate to accurately predict inflow under complex conditions, real-time data can be used for training, the output of the neural network is corrected in real time, the accumulation of errors along with time is avoided, and the result of model simulation is more accurate.
In one embodiment, the step S140 includes: the method comprises the steps of obtaining a time sequence of rainfall intensity in a period of time in the future, substituting the time sequence of the rainfall intensity and a future flow value into a genetic algorithm, wherein a decision variable of the genetic algorithm is only a control strategy, an optimization target is overflow quantity which changes according to changes of the control strategy, and a target control strategy which enables the overflow quantity to be below a target overflow quantity is obtained and is used for adjusting the time sequence of operation of a water quantity control facility in the urban drainage system.
Illustratively, the total overflow amount is calculated by the formula
Figure BDA0002999753130000121
Figure BDA0002999753130000122
Wherein totalcSO is the total overflow volume, CSoi is the overflow volume that the ith overflow port produced, Qi, T is the flow of the ith overflow port at the moment of T, T is the time period from the beginning of overflow of the first overflow port to the end of overflow of the last overflow port.
Preferably, among the target control strategies that make the overflow amount below the target overflow amount, the target control strategy that makes the overflow amount the smallest is selected.
In this embodiment, a simulation model of a drainage system is operated, different control strategies are adopted to simulate an inflow point and an outflow point to inject future flow values to obtain overflow volumes under different control strategies, when different control strategies are used, control modes of water control facilities in the simulation model are different, the future flow values and time series of rainfall intensity within a period of time in the future are substituted into a genetic algorithm to obtain a target control strategy, the target control strategy is used to adjust the control modes of the water control facilities in the drainage system, the water control facilities in the drainage system are reasonably used, the overflow volumes in cities are reduced, and the condition of waterlogging flooding is improved.
In one embodiment, the accuracy of the simplified simulation model is verified.
Illustratively, verifying the accuracy of the simplified simulation model includes: verifying the accuracy of the future flow value of the inflow point; and if the accuracy of the future flow value of the inflow point passes the verification, verifying the accuracy of the overflow quantity simulated by the simplified simulation model.
In one embodiment, verifying the accuracy of future flow values for an inflow point comprises: substituting the future predicted rainfall capacity of the area where the urban drainage system is located into the Saint-Venn equation to obtain a verification flow value of the inflow point of the urban drainage system; substituting the verified flow value and the future flow value into a calculation formula of the Nash coefficient to obtain a Nash coefficient value; if the Nash coefficient is greater than or equal to 0.5, the future flow value of the inflow point is verified; if the nash coefficient is less than 0.5, the future flow value of the inflow point is not verified.
Illustratively, the calculation formula of the Nash coefficient is
Figure BDA0002999753130000131
Wherein Qt is the verified flow value at time T, Ot is the future flow value at time T, and T is the time number.
In another embodiment, verifying the accuracy of the future flow value of the inflow point comprises: acquiring an actual flow value of an inflow point of a region where the urban drainage system is located after rainfall is predicted to arrive in the future through a flow meter arranged in the region where a gate, a pump station and a storage regulation pool in the urban drainage system are located; substituting the actual flow value and the future flow value into a calculation formula of Nash coefficient to obtain a Nash coefficient value; if the Nash coefficient is greater than or equal to 0.5, the future flow value of the inflow point is verified; if the nash coefficient is less than 0.5, the future flow value of the inflow point is not verified.
Illustratively, if the future flow values obtained by simplifying the simulation model are not accurate, the adjustment is made by changing the number of layers of the long-short term neural network.
Illustratively, the saint-vican equation is:
Figure BDA0002999753130000132
wherein Q is a flow value, s is a distance along a water flow direction, A is an area of a water passing section, t is time, Q is a flow of side inflow in unit length, g is a gravity acceleration, v is a flow velocity, h is a water depth in a pipe, i is a pipe gradient, and Jf is a friction gradient. Compared with a linear processing method, the Saint-Vietnam equation can be used for simulating the actual situation more accurately.
Illustratively, the flow equation for the orifice in the simulation model is:
Figure BDA0002999753130000141
wherein Q is orifice flow, Cd is a dimensionless discharge coefficient, A0 is the orifice outflow cross-sectional area, g is gravitational acceleration, and He is the effective head.
Illustratively, the flow formula of the rectangular weir in the simulation model is:
Figure BDA0002999753130000142
wherein Q is the flow of the rectangular weir, Cw is the discharge coefficient of the weir, Le is the effective width of the weir, and He is the effective head.
In this embodiment, the future flow value is substituted into the calculation formula of the nash coefficient to obtain the nash coefficient value, the accuracy of the future flow value can be judged according to the nash coefficient, the simplified simulation model is adjusted according to the judgment result, and further the accuracy of the future flow value simulated by the simplified simulation model is further checked to ensure the accuracy of the simulation result of the simplified simulation model.
In one embodiment, verifying the accuracy of the simulated overflow volume includes: simulating the verification overflow volume of the urban drainage system adopting the target control strategy after the water volume of the future flow value is injected at the inflow point by adopting a complete simulation model; substituting the overflow quantity obtained by verifying the overflow quantity and simplifying the simulation model into a calculation formula of the Nash coefficient to obtain a Nash coefficient value; if the Nash coefficient is greater than or equal to 0.5, the overflow quantity obtained by simplifying the simulation model passes verification; if the Nash coefficient is less than 0.5, the overflow quantity obtained by simplifying the simulation model is not verified.
In another embodiment, verifying the accuracy of the simulated overflow volume includes: acquiring actual overflow volume of the urban drainage system adopting a target control strategy after rainfall is predicted to arrive in the future; substituting the actual overflow amount and the overflow amount obtained by simplifying the simulation model into a calculation formula of the Nash coefficient to obtain a Nash coefficient value; if the Nash coefficient is greater than or equal to 0.5, the overflow quantity obtained by simplifying the simulation model passes verification; if the Nash coefficient is less than 0.5, the overflow quantity obtained by simplifying the simulation model is not verified.
Illustratively, if the overflow amount simulated by the simplified simulation model is inaccurate, the adjustment is performed by reducing the threshold value of the maximum length when the pipelines are merged.
In this embodiment, the overflow value is substituted into the calculation formula of the nash coefficient to obtain the nash coefficient value, the accuracy of the overflow value can be judged according to the nash coefficient, the simplified simulation model is adjusted according to the judgment result, and further the accuracy of the overflow value simulated by the simplified simulation model is further checked to ensure the accuracy of the simulation result of the simplified simulation model.
It should be understood that, although the steps in the flowcharts of fig. 1, 2, and 3 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1, 2, and 3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the steps or stages in other steps.
In one embodiment, as shown in fig. 4, there is provided a control apparatus of a municipal drainage system, comprising: a model obtaining module 901, a model simplifying module 902, a data obtaining module 903, a data determining module 904, and a policy determining module 905, wherein:
the model obtaining module 901 is used for obtaining a complete simulation model of the urban drainage system.
And a model simplifying module 902, configured to simplify the complete simulation model to obtain a simplified simulation model.
And the data acquisition module 903 is used for acquiring a historical flow value of an inflow point, the current rainfall of the area where the urban drainage system is located and the future predicted rainfall.
And a data determining module 904, configured to determine a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall.
The strategy determining module 905 is configured to simulate an overflow amount of the urban drainage system after the water amount with the future flow value is injected at the inflow point by using a simplified simulation model, and determine a target control strategy, where the target control strategy includes a control manner of a water amount control facility in the urban drainage system, so that the overflow amount of the urban drainage system is below a target overflow amount.
For specific limitations of the control device of the municipal drainage system, reference may be made to the above limitations of the control method of the municipal drainage system, and details thereof are not repeated herein. All or part of each module in the control device of the urban drainage system can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
The following description is merely illustrative of the practical application of the control method of the municipal drainage system, and is not intended to limit the scope of the invention in any way.
In one embodiment, the control method of the urban drainage system is applied to linkage control of a drainage system of a main urban south district of a certain city, the rain and sewage flow rate of the district is about 53 percent, the service population is about 85 ten thousand, two sewage treatment plants (with the design scale of 42 ten thousand cubic meters), three storage tanks (with the total volume of 3.3 ten thousand cubic meters) and 13 overflow ports are built in the district. The inflow of the regulation pool is predicted by adopting a Long-Short-Term neural network, an LSTM (Long Short-Term Memory, Long-Short-Term Memory artificial neural network) layer is composed of 100 neurons, a trained error function is a mean-square function, and an optimization method is adaptive moment estimation. The data in the case study were generated by a complex mechanistic model under a variety of design rainfall and actual rainfall conditions, with 70% of the data being used for training and 30% for testing. Nash coefficients on the test set are used to quantify the predicted effect of different LSTM (Long Short-Term Memory artificial neural network) models. The predicted step size is 5 minutes. The future 5-minute inflow is predicted by 45-minute historical data provided by two monitoring stations, the neural network comprises three LSTM layers, and the trained Nash coefficient can reach more than 0.90. And water quantity control facilities in the parcel are reserved, partial pipelines with smaller influence are omitted, and meanwhile, branch pipelines with non-negligible flow are replaced by adopting a mode of setting virtual pipelines. Through the operation, the model scale is reduced by more than 98%, and the simulation speed is greatly improved. Under the actual rainfall condition for testing, the variation trend of the proposed model simulation result is consistent with the actual simulation result using the Saint-Venn equation.
Under the conditions of actual rainfall and design rainfall in different reappearance periods, the overflow capacity can be additionally reduced by 2892-8073 cubic meters by comparing empirical control with the control strategy obtained by using the method.
In one embodiment, a computer device is provided, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of controlling a municipal drainage system.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the above-described method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of controlling a municipal drainage system, the method comprising:
acquiring a complete simulation model of an urban drainage system, wherein the urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and a drainage pipeline, the inflow point and the outflow point are used for being communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipeline;
dividing the complete simulation model into a plurality of subareas by using the water quantity control facilities and the inflow points as boundary points;
simplifying the drainage pipeline in the same region in the complete simulation model to obtain a simplified simulation model;
the step of simplifying the drainage pipelines in the same region in the complete simulation model comprises the following steps:
if the difference of the slopes of two adjacent water drainage pipelines is within the range of the difference of the slopes and the cross sections of the two adjacent water drainage pipelines are the same in shape, merging the two water drainage pipelines;
if the pipe diameter ratio of the drainage pipeline to the main pipeline is within the pipe diameter ratio range and the length of the drainage pipeline is less than or equal to the length threshold value, merging the drainage pipeline into the main pipeline;
or if the number of the common boundary points of the parcel and the adjacent parcel is less than 3, replacing all the drainage pipelines in the same parcel with one virtual pipeline;
acquiring a historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located;
determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall;
and simulating the overflow volume of the urban drainage system under different control strategies after the water with the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy, wherein the target control strategy comprises a control mode of the water quantity control facility, so that the overflow volume of the urban drainage system is below a target overflow volume.
2. The method of claim 1, wherein said obtaining a complete simulation model of a municipal drainage system comprises:
obtaining a model file of a city drainage system;
if the model file is in an inp format, converting the model file into a complete simulation model of the urban drainage system;
and if the model file is in an icmm format, converting the model file in the icmm format into the model file in the inp format according to the corresponding relation between the model file in the inp format and the model file in the icmm format, and converting the model file in the inp format into the complete simulation model of the urban drainage system.
3. The method of claim 1 or 2, wherein the boundary points comprise: the most upstream and downstream nodes in the drainage system, the nodes where the model connects to the external river, and the nodes representing the water control facilities.
4. The method of claim 3, wherein said nodes comprise connection points of each of said drainage pipelines, said water volume control, a catchment area, an inflow point, and an outflow point.
5. The method according to claim 1 or 2, wherein the obtaining of the historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located comprises:
acquiring a historical flow value of the inflow point through a flow meter arranged in an area where a gate, a pump station and a regulation and storage pool in the urban drainage system are located;
acquiring the current rainfall of the area where the urban drainage system is located through a rain gauge arranged in the area where the urban drainage system is located;
and obtaining the future predicted rainfall of the area where the urban drainage system is located from a meteorological website.
6. The method according to claim 1 or 2, wherein said determining a future flow value for the inflow point based on the historical flow value, the current rainfall and the future predicted rainfall comprises:
and inputting the historical flow value, the current rainfall and the future predicted rainfall into a long-short term memory artificial neural network to obtain a future flow value of the inflow point output by the long-short term memory artificial neural network.
7. The method according to claim 1 or 2, characterized in that the method further comprises:
and verifying the accuracy of the simplified simulation model.
8. A control device for a municipal drainage system, comprising:
the system comprises a model acquisition module, a simulation module and a simulation module, wherein the model acquisition module is used for acquiring a complete simulation model of the urban drainage system, the urban drainage system comprises an inflow point, an outflow point, water quantity control facilities and a drainage pipeline, the inflow point and the outflow point are used for being communicated with the outside, and the inflow point and the outflow point, the two water quantity control facilities, the inflow point and the water quantity control facilities and the outflow point and the water quantity control facilities are communicated through the drainage pipeline;
the model simplifying module is used for dividing the complete simulation model into a plurality of areas by adopting the water quantity control facilities and the inflow points as boundary points; simplifying the drainage pipeline in the same region in the complete simulation model to obtain a simplified simulation model; the step of simplifying the drainage pipelines in the same region in the complete simulation model comprises the following steps: if the difference of the slopes of two adjacent water drainage pipelines is within the range of the difference of the slopes and the cross sections of the two adjacent water drainage pipelines are the same in shape, merging the two water drainage pipelines; if the pipe diameter ratio of the drainage pipeline to the main pipeline is within the pipe diameter ratio range and the length of the drainage pipeline is less than or equal to the length threshold value, merging the drainage pipeline into the main pipeline; or if the number of the common boundary points of the parcel and the adjacent parcel is less than 3, replacing all the drainage pipelines in the same parcel with one virtual pipeline;
the data acquisition module is used for acquiring the historical flow value of the inflow point, the current rainfall and the future predicted rainfall of the area where the urban drainage system is located;
the data determination module is used for determining a future flow value of the inflow point according to the historical flow value, the current rainfall and the future predicted rainfall;
and the strategy determining module is used for simulating the overflow volume of the urban drainage system under different control strategies after the water quantity of the future flow value is injected into the inflow point by adopting a simplified simulation model, and determining a target control strategy, wherein the target control strategy comprises a control mode of a water quantity control facility in the urban drainage system, so that the overflow volume of the urban drainage system is below a target overflow volume.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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