CN116415525A - Method, device, equipment and medium for predicting reservoir water surface line - Google Patents
Method, device, equipment and medium for predicting reservoir water surface line Download PDFInfo
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Abstract
The invention relates to the field of data processing, and aims to provide a method, a device, equipment and a medium for predicting reservoir water surface line, wherein the method comprises the following steps: acquiring the water supply information, the predicted time length, the current water level, the section information of each main and branch river channel of the target reservoir and the historical flow water level information of the target reservoir; establishing a hydrodynamic model; distributing points of each main and branch river channel according to the incoming water information, the predicted time length, the current water level and the hydrodynamic model to obtain a plurality of predicted points; predicting the water level of the predicted point according to the incoming water information and the hydrodynamic model to obtain water level prediction data within a prediction duration range; and generating predicted water surface lines at different moments in a predicted time range through the water level prediction data. According to the invention, the plurality of prediction points are arranged for each main and branch stream river channel by combining multiple conditions, so that the number of space points is reduced compared with the number of space points distributed on a large scale, the prediction precision can be ensured, the utilization efficiency of each prediction point is effectively improved, and the prediction simulation efficiency of the water surface line is improved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method, a device, equipment and a medium for predicting reservoir water surface line.
Background
The large reservoir has the functions of flood blocking, irrigation, power generation, water supply, shipping and the like, the change of the water surface line is an important basis for scientific dispatching of the reservoir, and the prediction of the water surface line plays a positive role in realizing the flood control and benefit making functions of the reservoir. Especially under the different incoming water inflow conditions of flood season, if can carry out accurate prediction to reservoir water surface line, utilize reservoir to hold and block the flood, when can not cause the submerging risk to the upper reaches, reduce the flood peak flow that gets into the low reaches river course, reach the purpose of reducing and exempting from the flood calamities. However, in the prior art, the existing data are calculated by trial calculation according to the historical conditions through manual observation and experience judgment, and the prediction result has larger error, and is time-consuming, long and low in efficiency.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a method for predicting the water surface line of a reservoir, so as to solve the problems of large prediction error and low efficiency of the water surface line in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the embodiment of the invention provides a method for predicting a reservoir water surface line, which comprises the following steps:
acquiring the water supply information, the predicted time length, the current water level and the section information and the historical flow water level information of each main and branch flow river channel of a target reservoir;
establishing a hydrodynamic model based on the section information and the historical flow water level information;
distributing points of each main and branch river channel according to the incoming water information, the prediction duration, the current water level and the hydrodynamic model to obtain a plurality of prediction points corresponding to each river channel;
predicting the water level of each predicted point according to the incoming water information and the hydrodynamic model to obtain water level prediction data in the predicted duration range;
and generating predicted water surface lines at different moments in the predicted time range according to the water level prediction data.
Optionally, the establishing a hydrodynamic model based on the section information and the historical flow water level information includes:
dividing each main and branch river channel according to a preset distance to obtain a plurality of river segments;
extracting flow data and water level data corresponding to each river reach from the historical flow water level information;
and establishing a hydrodynamic model of each river reach according to the section information, the flow data and the water level data.
Optionally, the distributing points are performed on each main and branch river channel according to the incoming water information, the prediction duration, the current water level and the hydrodynamic model to obtain a plurality of prediction points corresponding to each river channel, including:
distributing points of each river reach according to preset distribution point intervals to obtain initial prediction points of each river reach;
analyzing the water level change rate of the initial predicted point based on the incoming water information, the predicted time length, the hydrodynamic model and the current water level;
analyzing the supplementary predicted point of each river reach according to the water level change rate, the predicted time length and the point distribution amount corresponding to the preset time length;
and distributing points to each river channel based on the initial predicted points and the supplementary predicted points corresponding to each river channel to obtain a plurality of predicted points corresponding to each river channel.
Optionally, the analyzing the water level change rate of the initial predicted point based on the incoming water information, the predicted time length, the hydrodynamic model and the current water level includes:
acquiring current time, and obtaining predicted time when the predicted time is ended according to the current time and the predicted time;
inputting the water supply information and the prediction time into the hydrodynamic model to obtain the predicted water level of each initial predicted point;
and calculating the water level change rate of the initial predicted point according to the predicted water level and the current water level.
Optionally, the analyzing the supplementary predicted point of each river reach according to the water level change rate, the predicted time length and the point distribution amount corresponding to the preset time length includes:
obtaining the total number of supplementary distribution points according to the predicted time length, the number of river reach and the distribution point quantity corresponding to the preset time length;
analyzing the distribution proportion of each river reach based on the water level change rate of each initial predicted point in each river reach;
and obtaining the supplementary predicted point of each river reach according to the distribution point proportion and the total number of the supplementary distribution points.
Optionally, the analyzing the distribution proportion of each river reach based on the water level change rate of each initial predicted point in each river reach includes:
carrying out logarithmic transformation on the water level change rate of each initial predicted point to obtain an initial coefficient of each initial predicted point;
superposing and calculating the initial coefficient corresponding to the initial predicted point in each river reach to obtain a first coefficient of each river reach;
calculating the total coefficient of the river channel based on the first coefficient of each river channel;
and obtaining the distribution point proportion of each river reach by calculating the ratio of the first coefficient in the total coefficient.
Optionally, the method further comprises:
comparing the predicted water surface line at each moment with preset elevation data of the river channel to obtain a risk prediction point of the water surface overflowing the river channel, wherein the preset elevation data are elevation data of two ends of a section of the river channel corresponding to the prediction point;
analyzing the risk prediction points to obtain river channel positions, overflow directions and overflow water levels corresponding to the risk prediction points;
summarizing the river channel position, the overflow direction, the overflow water level and the preset elevation data corresponding to the risk prediction point to obtain a risk prediction result, and reporting the risk prediction result.
The embodiment of the invention also provides a device for predicting the water surface line of the reservoir, which comprises:
the acquisition module is used for acquiring water inflow information, prediction duration, current water level of a target reservoir, section information and historical flow water level information of each main and branch flow river channel of the target reservoir;
the model building module is used for building a hydrodynamic model based on the section information and the historical flow water level information;
the point distribution module is used for distributing points of each main and branch river channel according to the incoming water information, the prediction duration, the current water level and the hydrodynamic model to obtain a plurality of prediction points corresponding to each river channel;
the prediction module is used for predicting the water level of each prediction point according to the incoming water information and the hydrodynamic model to obtain water level prediction data in the prediction duration range;
and the generation module is used for generating predicted water surface lines at different moments in the predicted time length range through the water level prediction data.
The embodiment of the invention also provides electronic equipment, which comprises:
the device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the method for predicting the reservoir water surface line.
The embodiment of the invention also provides a computer readable storage medium which stores computer instructions for causing a computer to execute the method for predicting the reservoir water surface line provided by the embodiment of the invention.
The technical scheme of the invention has the following advantages:
the invention provides a method for predicting reservoir water surface line, which comprises the steps of obtaining water supply information, prediction duration, current water level of a target reservoir, section information and historical flow water level information of each main and branch flow river channel of the target reservoir; establishing a hydrodynamic model based on the section information and the historical flow water level information; distributing points of each main and branch river channel according to the incoming water information, the predicted time length, the current water level and the hydrodynamic model to obtain a plurality of predicted points corresponding to each river channel; predicting the water level of each predicted point according to the incoming water information and the hydrodynamic model to obtain water level prediction data within a predicted duration range; and generating predicted water surface lines at different moments in a predicted time range through the water level prediction data. According to the invention, the plurality of prediction points are arranged for each main and branch stream river channel by combining multiple conditions, so that the number of space points is reduced compared with the number of space points distributed on a large scale, the prediction precision can be ensured, the utilization efficiency of each prediction point is effectively improved, and the prediction simulation efficiency of the water surface line is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of predicting a reservoir water line in an embodiment of the invention;
FIG. 2 is a flow chart of a hydrodynamic model built based on section information and historical flow water level information in accordance with an embodiment of the invention;
FIG. 3 is a flow chart of the distribution of each main and branch stream river in accordance with the embodiment of the invention;
FIG. 4 is a schematic diagram showing the number of distribution points corresponding to the water level change in the embodiment of the invention;
FIG. 5 is a flow chart of analyzing the water level change rate of an initial predicted point in accordance with an embodiment of the present invention;
FIG. 6 is a flow chart of analyzing supplemental predicted points for each river reach in accordance with an embodiment of the present invention;
FIG. 7 is a flow chart of analyzing the distribution ratio of each river reach according to the embodiment of the present invention;
FIG. 8 is a flow chart of risk prediction according to an embodiment of the present invention;
FIG. 9 is a schematic structural view of an apparatus for predicting a water surface line of a reservoir according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In accordance with an embodiment of the present invention, there is provided a method embodiment for predicting reservoir water line, it being noted that the steps illustrated in the flow chart of the drawings may be performed in a computer system, such as a set of computer executable instructions, and, although a logical sequence is illustrated in the flow chart, in some cases, the steps illustrated or described may be performed in a different order than that illustrated herein.
In this embodiment, a method for predicting a water surface line of a reservoir is provided, which may be used in the above terminal device, such as a computer, as shown in fig. 1, and includes the following steps:
step S1: and acquiring the water supply information, the predicted time length, the current water level, the section information of each main and branch river channel of the target reservoir and the historical flow water level information of the target reservoir. Specifically, the incoming water information includes: water supply time, water supply water level, water supply flow, water supply position and the like; the prediction duration is the time length of prediction according to the requirements; the current water level is the current water level height of each position of the reservoir; the section information comprises the section size of the river section perpendicular to the water quantity direction and the water passing section area.
Step S2: and establishing a hydrodynamic model based on the section information and the historical flow water level information. Specifically, by establishing a distributed hydrodynamic model, accurate analysis can be performed on each river segment in the subsequent analysis process, so that the water level change condition of each predicted point in each river channel is determined, and the analysis accuracy is effectively improved.
Step S3: and distributing points of each main and branch river channel according to the incoming water information, the predicted time length, the current water level and the hydrodynamic model to obtain a plurality of predicted points corresponding to each river channel. Specifically, through analyzing incoming water information, prediction duration and current water level, different numbers of prediction points are respectively arranged in different river sections of different river channels, and compared with a traditional uniform point distribution mode, the scheme reduces the point distribution quantity while guaranteeing the prediction accuracy, and effectively improves the utilization efficiency of each prediction point, thereby improving the prediction simulation efficiency of the water surface line.
Step S4: and predicting the water level of each predicted point according to the incoming water information and the hydrodynamic model to obtain water level prediction data within a prediction duration range. Specifically, by predicting the water level at each predicted point, it is convenient for the subsequent generation of an accurate predicted water surface line based on the predicted data.
Step S5: and generating predicted water surface lines at different moments in a predicted time range through the water level prediction data. Specifically, by generating the prediction water surface lines at different times, decision references can be provided for reservoir dispatching departments, so that reservoir dispatching schemes can be known and deployed in advance, and particularly, timely and effective support can be provided for flood control and disaster reduction dispatching.
Through the steps S1 to S5, the method for predicting the water surface line of the reservoir provided by the embodiment of the invention has the advantages that the plurality of prediction points are arranged for each main and branch stream river channel by combining multiple conditions, compared with the large-range average distribution point, the number of space points is reduced, the prediction precision can be ensured, the utilization efficiency of each prediction point is effectively improved, and the prediction simulation efficiency of the water surface line is improved.
Specifically, in an embodiment, step S2 described above, as shown in fig. 2, specifically includes the following steps:
step S21: dividing each main and branch river channel according to a preset distance to obtain a plurality of river segments. Specifically, through dividing, the calculation accuracy is improved, and meanwhile, positioning and subsequent searching are facilitated.
Step S22: and extracting flow data and water level data corresponding to each river reach from the historical flow water level information.
Step S23: and establishing a hydrodynamic model of each river reach according to the section information, the flow data and the water level data.
Specifically, the hydrodynamic model includes a water flow continuous equation and a water flow motion equation:
water flow continuity equation:
equation of motion of water flow:
wherein t represents time, x represents space, B is water surface width, Z is water level, Q is flow, Q L For the side inflow on the river reach, u is the section average flow velocity, g is the gravity acceleration, A is the water cross section area, n i The coefficient of the roughness coefficient of the ith river reach is shown, and R is the hydraulic radius.
By analyzing the historical data of each river reach to establish a distributed hydrodynamic model, accurate analysis can be performed on each river reach in the subsequent analysis process, so that the water level change condition of each predicted point in each river reach is determined, and the analysis accuracy is effectively improved.
Specifically, in an embodiment, step S3 described above, as shown in fig. 3, specifically includes the following steps:
step S31: and (3) distributing points of each river reach according to preset distribution intervals to obtain initial prediction points of each river reach. Specifically, for example: a river is divided into 6 river segments, and the total number of initial predicted points of the river is 36 if the number of initial predicted points of each river segment is 6.
Step S32: and analyzing the water level change rate of the initial predicted point based on the incoming water information, the predicted time length, the hydrodynamic model and the current water level. Specifically, according to the incoming water information and the predicted time length, the water levels of all initial predicted points at the end of the predicted time length are predicted, and the water level change rate of each initial predicted point can be analyzed based on the predicted end water level and the current water level.
Step S33: and analyzing the supplementary predicted point of each river reach according to the water level change rate, the predicted time length and the point distribution amount corresponding to the preset time length. Specifically, as shown in fig. 4, more predicted points are added to a river reach with a large water level change rate, and less predicted points or no predicted points are added to a river reach with a small water level change rate.
Step S34: and distributing points to each river channel based on the initial predicted points and the supplementary predicted points corresponding to each river channel to obtain a plurality of predicted points corresponding to each river channel. Specifically, if the precision of the scheme is to be achieved by adopting a common uniform distribution mode, the same predicted points as those of the river reach with high water level change rate in the scheme are required to be arranged in all river reach, and in actual conditions, a large number of predicted points are arranged in the river reach with low water level change rate, so that the precision is not greatly improved, the calculated amount is greatly increased, and the overall calculation efficiency is reduced; if the common uniform point distribution mode is adopted to reduce the point distribution density and the point distribution quantity, the simulation precision of the scheme cannot be achieved. Therefore, the scheme distributes the number of the predicted points according to the variation amplitude of the water surface line, so that the distribution amount can be reduced, the calculated amount can be reduced, and the efficiency can be improved while the precision is ensured.
Specifically, in one embodiment, the step S32, as shown in fig. 5, specifically includes the following steps:
step S321: and obtaining the current time, and obtaining the predicted time when the predicted time is ended according to the current time and the predicted time.
Step S322: and inputting the water supply information and the prediction time into the hydrodynamic model to obtain the predicted water level of each initial predicted point.
Step S323: and calculating the water level change rate of the initial predicted point according to the predicted water level and the current water level.
Specifically, the water level Z at the predicted time T at the end of the predicted time period T And the current water level Z 0 For comparison, the ratio is the water level change rate r= (Z T -min(Z 0 ))/Z 0 Wherein min (Z 0 ) The minimum value of the position of the initial predicted point at the current moment corresponding to the current water level is the water level change rate r of the jth predicted point j . By calculating the water level change rate, the distribution of the distribution number of the supplementary predicted points according to the water level change amplitude is facilitated.
Specifically, in one embodiment, the step S33, as shown in fig. 6, specifically includes the following steps:
step S331: and obtaining the total number of supplementary points according to the predicted time length, the number of river reach and the point distribution amount corresponding to the preset time length. Specifically, the preset time length corresponds to a point distribution amount, for example: on average, every 1 hour reaches 12 points per river reach, and if the required prediction time is shorter, the prediction time can be reduced to 3-6 points. If the river channel is divided into 6 river segments, the total number of supplementary distribution points for predicting the river channel for 1 hour is 72; if the prediction is performed for 0.5 hour, the total number of the supplementary distribution points of the river is 36.
Step S332: and analyzing the distribution point proportion of each river reach based on the water level change rate of each initial predicted point in each river reach. Specifically, since each river reach contains a plurality of initial predicted points, the proportionality coefficient of each river reach can be comprehensively calculated by analyzing the water change rate of each initial predicted point, so that the distribution proportion of each river reach is obtained.
Step S333: and obtaining the supplementary predicted point of each river reach according to the distribution proportion and the total number of supplementary distribution points. Specifically, more predicted points are added to the river reach with high water level change rate, and less predicted points or no predicted points are added to the river reach with low water level change rate.
Specifically, in one embodiment, step S332 described above, as shown in fig. 7, specifically includes the following steps:
step S3321: and carrying out logarithmic transformation on the water level change rate of each initial predicted point to obtain an initial coefficient of each initial predicted point.
Step S3322: and carrying out superposition calculation on the initial coefficient corresponding to the initial predicted point in each river reach to obtain a first coefficient of each river reach.
Step S3323: the total coefficient of the river channel is calculated based on the first coefficient of each river channel.
Step S3324: and obtaining the distribution proportion of each river reach by calculating the duty ratio of the first coefficient in the total coefficient.
Specifically, the water level change rate r for each predicted point j Performing logarithmic transformation to obtain corresponding initial coefficient rs j ＝lg(r j ) The first coefficient of the ith river reach is
Wherein Ni is 1 For the order of the first initial predicted point of the river reach, ni 6 For the order of the sixth initial predicted point of the river reach, the total coefficient RS of the river reach is the sum of the first coefficients of the river reach. Therefore, the distribution proportion of the supplement predicted point of the ith river reach is RS i /RS。
Specifically, in an embodiment, the method, as shown in fig. 8, specifically further includes the following steps:
step S51: and comparing the predicted water surface line at each moment with preset elevation data of the river channel to obtain a risk prediction point of the water surface overflowing the river channel, wherein the preset elevation data are elevation data of two ends of a section of the river channel corresponding to the prediction point.
Step S52: and analyzing the risk prediction points to obtain the river channel position, the overflow direction and the overflow water level corresponding to the risk prediction points. Specifically, through the contrast, when the water level height of a certain predicted point exceeds the elevation at two ends of the river section, overflow occurs, and the risk of flooding is caused.
Step S53: summarizing river channel position, overflow direction, overflow water level and preset elevation data corresponding to the risk prediction points to obtain risk prediction results, and reporting the risk prediction results.
Specifically, through prediction contrast, the river channel position, the overflow direction and the overflow water level of which risks exist can be determined, and prediction can be performed according to different incoming water information especially in the flood season, so that a risk prediction result is reported, measures can be taken in advance to utilize reservoir storage to block flood, the flood peak flow entering a downstream river channel is reduced while the upstream flood risk cannot be caused, and the purpose of avoiding flood disasters is achieved.
In this embodiment, a device for predicting a water surface line of a reservoir is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a device for predicting a water surface line of a reservoir, as shown in fig. 9, including:
the obtaining module 101 is configured to obtain the water supply information, the predicted time length, the current water level, the section information of each main and branch river channel of the target reservoir, and the historical flow water level information of the target reservoir, and details refer to the description related to step S1 in the above method embodiment, which is not described herein.
The model building module 102 is configured to build a hydrodynamic model based on the section information and the historical flow water level information, and details refer to the description related to step S2 in the above method embodiment, which is not described herein.
The point distribution module 103 is configured to distribute points on each main and branch river channel according to the incoming water information, the predicted duration, the current water level and the hydrodynamic model, so as to obtain a plurality of predicted points corresponding to each river channel, and details refer to the related description of step S3 in the above method embodiment, which is not described herein again.
The prediction module 104 is configured to predict the water level of each predicted point according to the incoming water information and the hydrodynamic model to obtain water level prediction data within a prediction duration range, and details refer to the description related to step S4 in the foregoing method embodiment, which is not described herein.
The generating module 105 is configured to generate predicted water level lines at different times within the predicted time range according to the water level prediction data, and details refer to the description related to step S5 in the foregoing method embodiment, which is not described herein.
The means for predicting reservoir water level lines in this embodiment are in the form of functional units, where units refer to ASIC circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above described functions.
Further functional descriptions of the above respective modules are the same as those of the above corresponding embodiments, and are not repeated here.
There is also provided in accordance with an embodiment of the present invention, an electronic device, as shown in fig. 10, which may include a processor 1001 and a memory 1002, wherein the processor 1001 and the memory 1002 may be connected by a bus or otherwise, as exemplified by the bus connection in fig. 10.
The processor 1001 may be a central processing unit (Central Processing Unit, CPU). The processor 1001 may also be a chip such as other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory 1002 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods in the method embodiments of the present invention. The processor 1001 executes various functional applications of the processor and data processing, i.e., implements the methods in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 1002.
One or more modules are stored in the memory 1002 that, when executed by the processor 1001, perform the methods in the method embodiments described above.
The specific details of the electronic device may be correspondingly understood by referring to the corresponding related descriptions and effects in the above method embodiments, which are not repeated herein.
It will be appreciated by those skilled in the art that implementing all or part of the above-described methods in the embodiments may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the steps of the embodiments of the above-described methods when executed. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (10)
1. A method of predicting a reservoir water line, comprising:
acquiring the water supply information, the predicted time length, the current water level and the section information and the historical flow water level information of each main and branch flow river channel of a target reservoir;
establishing a hydrodynamic model based on the section information and the historical flow water level information;
distributing points of each main and branch river channel according to the incoming water information, the prediction duration, the current water level and the hydrodynamic model to obtain a plurality of prediction points corresponding to each river channel;
predicting the water level of each predicted point according to the incoming water information and the hydrodynamic model to obtain water level prediction data in the predicted duration range;
and generating predicted water surface lines at different moments in the predicted time range according to the water level prediction data.
2. The method of predicting a reservoir water line of claim 1, wherein said establishing a hydrodynamic model based on said profile information and historical flow water level information comprises:
dividing each main and branch river channel according to a preset distance to obtain a plurality of river segments;
extracting flow data and water level data corresponding to each river reach from the historical flow water level information;
and establishing a hydrodynamic model of each river reach according to the section information, the flow data and the water level data.
3. The method for predicting the water surface line of a reservoir according to claim 2, wherein the distributing points of each main and branch river channel according to the incoming water information, the prediction duration, the current water level and the hydrodynamic model to obtain a plurality of prediction points corresponding to each river channel comprises the following steps:
distributing points of each river reach according to preset distribution point intervals to obtain initial prediction points of each river reach;
analyzing the water level change rate of the initial predicted point based on the incoming water information, the predicted time length, the hydrodynamic model and the current water level;
analyzing the supplementary predicted point of each river reach according to the water level change rate, the predicted time length and the point distribution amount corresponding to the preset time length;
and distributing points to each river channel based on the initial predicted points and the supplementary predicted points corresponding to each river channel to obtain a plurality of predicted points corresponding to each river channel.
4. A method of predicting a reservoir water line as claimed in claim 3, wherein said analyzing the water level change rate at the initial predicted point based on the incoming water information, predicted time period, the hydrodynamic model and current water level comprises:
acquiring current time, and obtaining predicted time when the predicted time is ended according to the current time and the predicted time;
inputting the water supply information and the prediction time into the hydrodynamic model to obtain the predicted water level of each initial predicted point;
and calculating the water level change rate of the initial predicted point according to the predicted water level and the current water level.
5. A method of predicting a water surface line of a reservoir according to claim 3, wherein analyzing the supplemental predicted points for each river reach based on the water level change rate, the predicted time period, and the amount of points corresponding to the predetermined time period comprises:
obtaining the total number of supplementary distribution points according to the predicted time length, the number of river reach and the distribution point quantity corresponding to the preset time length;
analyzing the distribution proportion of each river reach based on the water level change rate of each initial predicted point in each river reach;
and obtaining the supplementary predicted point of each river reach according to the distribution point proportion and the total number of the supplementary distribution points.
6. The method for predicting a water surface line of a reservoir according to claim 5, wherein analyzing the distribution ratio of each river reach based on the water level change rate of each initial predicted point in each river reach comprises:
carrying out logarithmic transformation on the water level change rate of each initial predicted point to obtain an initial coefficient of each initial predicted point;
superposing and calculating the initial coefficient corresponding to the initial predicted point in each river reach to obtain a first coefficient of each river reach;
calculating the total coefficient of the river channel based on the first coefficient of each river channel;
and obtaining the distribution point proportion of each river reach by calculating the ratio of the first coefficient in the total coefficient.
7. A method of predicting a water line of a reservoir as claimed in claim 1, further comprising:
comparing the predicted water surface line at each moment with preset elevation data of the river channel to obtain a risk prediction point of the water surface overflowing the river channel, wherein the preset elevation data are elevation data of two ends of a section of the river channel corresponding to the prediction point;
analyzing the risk prediction points to obtain river channel positions, overflow directions and overflow water levels corresponding to the risk prediction points;
summarizing the river channel position, the overflow direction, the overflow water level and the preset elevation data corresponding to the risk prediction point to obtain a risk prediction result, and reporting the risk prediction result.
8. An apparatus for predicting a water line of a reservoir, comprising:
the acquisition module is used for acquiring water inflow information, prediction duration, current water level of a target reservoir, section information and historical flow water level information of each main and branch flow river channel of the target reservoir;
the model building module is used for building a hydrodynamic model based on the section information and the historical flow water level information;
the point distribution module is used for distributing points of each main and branch river channel according to the incoming water information, the prediction duration, the current water level and the hydrodynamic model to obtain a plurality of prediction points corresponding to each river channel;
the prediction module is used for predicting the water level of each prediction point according to the incoming water information and the hydrodynamic model to obtain water level prediction data in the prediction duration range;
and the generation module is used for generating predicted water surface lines at different moments in the predicted time length range through the water level prediction data.
9. An electronic device, comprising:
a memory and a processor in communication with each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of predicting a reservoir water line as claimed in any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of predicting a reservoir water line as claimed in any one of claims 1 to 7.
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| CN117150974A (en) * | 2023-10-31 | 2023-12-01 | 长江三峡集团实业发展(北京)有限公司 | Reservoir area water surface line prediction method, device, equipment and medium based on large flow |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117150974A (en) * | 2023-10-31 | 2023-12-01 | 长江三峡集团实业发展(北京)有限公司 | Reservoir area water surface line prediction method, device, equipment and medium based on large flow |
| CN117150974B (en) * | 2023-10-31 | 2024-01-26 | 长江三峡集团实业发展(北京)有限公司 | Reservoir area water surface line prediction method, device, equipment and medium based on large flow |
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