CN113065184A - Method and device for predicting wind field of arch dam construction area - Google Patents
Method and device for predicting wind field of arch dam construction area Download PDFInfo
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Abstract
The invention provides a method and a device for predicting a wind field of an arch dam construction area, wherein the method comprises the following steps: acquiring wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area; constructing a real terrain model of an arch dam construction area through wind field data; determining wind field boundary conditions under different conditions according to a real terrain model, construction machinery materials and construction progress of an arch dam construction area based on the acquired wind field data; and analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary conditions of the wind field. According to the method, a real terrain model is constructed by collecting real wind field data, then the construction process of the dam is divided into different progresses, different wind field boundary conditions are calculated according to the structural form of the dam, the construction progress of different dam sections, the excavation faces of left and right dam shoulders and the like, and finally, key part templates are analyzed and timely early warning is provided, so that the functions of multi-element sensing, efficient analysis and timely response prevention of the wind field in the arch dam construction area are realized.
Description
Technical Field
The application belongs to the technical field of arch dam construction, and particularly relates to a method and a device for predicting a wind field of an arch dam construction area.
Background
Arch dam construction areas are often found in narrow valleys with complex terrain and harsh weather conditions. Under the coupling effect of the complex terrain and the windy weather, a local wind field has instantaneous huge changes, and structures such as a complex dam abutment excavation surface and the like in an arch dam site area form a complex wind field boundary changing along with time, so that the wind field in the dam site area becomes more complex, a narrow tube effect is formed on part of structures, the strength of the wind field can be further amplified, and the high-strength wind field can have huge influence on the construction quality, progress and safety of the arch dam.
The existing wind field simulation is mostly used for construction and evaluation of plains, hills or offshore wind power plants, the terrain of the above areas is simple, the wind field boundary is also simple, a small meteorological station is usually adopted to meet the measurement requirement, but the wind field is lack of high-efficiency analysis of large-scale complex terrain, accurate and effective prevention and control strategies are not provided for personnel, materials, equipment and the like, and timely early warning information cannot be provided, so that related safety accidents such as cable cranes, personnel and the like are caused.
Disclosure of Invention
The application provides a method and a device for predicting a wind field of an arch dam construction area, which are used for at least solving the problem that the wind field of a large-scale complex terrain lacks effective analysis by using the current wind field simulation.
According to one aspect of the application, a method for predicting a wind field of an arch dam construction area is provided, which comprises the following steps:
acquiring wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprises wind speed data, meteorological data and weather data;
constructing a real terrain model of an arch dam construction area through wind field data;
determining wind field boundary conditions under different conditions according to a real terrain model, construction machinery materials and construction progress of an arch dam construction area based on the acquired wind field data;
and analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary conditions of the wind field.
In one embodiment, the method for predicting the wind field of the arch dam construction area further comprises the following steps:
and carrying out safety early warning according to the wind field analysis result in the arch dam construction area.
In one embodiment, based on the acquired wind field data, determining wind field boundary conditions under different conditions according to a real terrain model, construction machinery materials and a construction progress of an arch dam construction area, including:
classifying the real terrain model according to terrain, wherein the terrain types comprise: vegetation areas, excavated bare areas, concrete slope areas, water surfaces and dam surfaces;
determining and establishing an interface area wind speed distribution model and a roughness model according to the terrain type to construct a wind field boundary;
determining a wind field generated by the construction machinery material under the condition of strong wind according to the shape of the construction machinery material;
determining the change condition of the construction appearance according to the construction progress;
and generating wind field boundary conditions under different conditions according to the wind field boundary, the wind field generated by construction machinery materials and the construction appearance change condition.
In one embodiment, analyzing the wind field in the arch dam construction area by using a numerical simulation method according to the boundary condition of the wind field comprises the following steps:
based on the boundary conditions of the wind field, solving a turbulence Navirt-stocks equation by adopting a time correlation method to perform preliminary calculation to obtain first wind field analysis data;
based on the first wind field analysis data, processing by adopting a finite volume discrete method of a central node to obtain second wind field analysis data;
based on the second wind field analysis data, processing by adopting an explicit runge-kutta method to obtain third wind field analysis data;
and carrying out full multi-grid initial field processing and multi-grid iterative accelerated convergence on the third wind field analysis data to obtain final analysis data of the wind field in the arch dam construction area.
In one embodiment, the safety precaution is performed according to the wind field analysis result in the arch dam construction area, and the safety precaution comprises the following steps:
and monitoring wind speed data in real time from the final analysis data, and triggering safety early warning when the wind speed data exceeds a preset value.
According to another aspect of the present application, there is also provided an arch dam construction area wind field prediction apparatus, including:
the data acquisition unit is used for acquiring wind field data in the arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprises wind speed data, meteorological data and weather data;
the real terrain model building unit is used for building a real terrain model of the arch dam construction area through wind field data;
the wind field boundary condition acquisition unit is used for determining wind field boundary conditions under different conditions according to the real terrain model, construction machinery materials and construction progress of an arch dam construction area based on the acquired wind field data;
and the wind field analysis unit is used for analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary condition of the wind field.
In one embodiment, the wind field prediction device for the arch dam construction area further comprises:
and the safety early warning unit is used for carrying out safety early warning according to the wind field analysis result in the arch dam construction area.
In one embodiment, the wind farm boundary condition acquisition unit includes:
a terrain classification module for classifying the real terrain model according to terrain, the terrain type comprising: vegetation areas, excavated bare areas, concrete slope areas, water surfaces and dam surfaces;
the wind field boundary construction module is used for determining and establishing an interface area wind speed distribution model and a roughness model according to the terrain type so as to construct a wind field boundary;
the first element determining module is used for determining a wind field generated by the construction machinery material under the condition of strong wind according to the appearance of the construction machinery material;
the second element determining module is used for determining the change condition of the construction morphology according to the construction progress;
and the wind field boundary condition generating module is used for generating wind field boundary conditions under different conditions according to the wind field boundary, the wind field generated by construction machinery materials and the construction morphology change condition.
In an embodiment, the wind farm analysis unit comprises:
the first calculation module is used for solving a turbulence Navirt-stocks equation by adopting a time correlation method based on wind field boundary conditions to perform preliminary calculation to obtain first wind field analysis data;
the second calculation module is used for processing the first wind field analysis data by adopting a finite volume discrete method of a central node to obtain second wind field analysis data;
the third calculation module is used for processing the second wind field analysis data by adopting an explicit runge-kutta method to obtain third wind field analysis data;
and the analysis module is used for carrying out full multi-grid initial field processing and multi-grid iterative accelerated convergence on the third wind field analysis data to obtain final analysis data of the wind field in the arch dam construction area.
In one embodiment, the safety precaution unit includes:
and the threshold comparison module is used for monitoring the wind speed data in real time from the final analysis data and triggering safety early warning when the wind speed data exceeds a preset value.
The method includes the steps that a real wind field data is collected to construct a real terrain model of a construction area, then the construction process of the dam is divided into different progresses, different wind field boundary conditions are calculated according to the structural form of the dam, the construction progresses of different dam sections, the templates are arranged, the cable crane runs, the drainage holes, the left dam shoulder excavation face and the right dam shoulder excavation face, and finally the key position templates are analyzed and timely early warning is provided, so that the functions of multi-element sensing, efficient analysis and timely response prevention of the wind field of the arch dam construction area are achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for predicting a wind field in an arch dam construction area provided by the present application.
Fig. 2 is a flowchart of a method for determining a boundary condition of a wind farm under different conditions in an embodiment of the present application.
Fig. 3 is a flowchart of a method for analyzing a wind field in an arch dam construction area according to an embodiment of the present disclosure.
FIG. 4 is a simulated embodiment of the present application in an embodiment of the present application.
Fig. 5 is a structural block diagram of a wind field prediction device in an arch dam construction area provided by the present application.
Fig. 6 is a block diagram of a structure of a wind field boundary condition obtaining unit in the embodiment of the present application.
Fig. 7 is a block diagram of a wind field analysis unit in the embodiment of the present application.
Fig. 8 is a specific implementation of an electronic device in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The wind field simulation of the existing arch dam construction area is mostly used in the construction and evaluation of plains, hills or offshore wind power plants, the terrain of the above areas is simpler, the wind field boundary is also simpler, the measurement requirements can be met by adopting a small meteorological station generally, but the wind field high-efficiency analysis of large-scale complex terrains is lacked, accurate and effective prevention and control strategies are not provided for personnel, materials, equipment and the like, and timely early warning information cannot be provided, so that related safety accidents such as cable cranes, personnel and the like are caused.
Based on the above problem, the present application provides a method for predicting a wind field in an arch dam construction area, as shown in fig. 1, including:
s101: the method comprises the steps of obtaining wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprise wind speed data, meteorological data and weather data.
S102: and constructing a real terrain model of the arch dam construction area through the wind field data.
S103: and determining wind field boundary conditions under different conditions according to the real terrain model, construction machinery materials and construction progress of the arch dam construction area based on the acquired wind field data.
S104: and analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary conditions of the wind field.
The specific data acquired by various weather stations are as follows:
the anemoscope is used for acquiring information such as wind speed, wind direction, duration, coordinate elevation and the like;
the weather station is used for acquiring information such as space coordinates, temperature, humidity, wind speed, wind direction, air density, atmospheric pressure, solar radiation and the like;
weather forecast is used for obtaining area temperature distribution, area humidity distribution and area air pressure distribution;
and statistics and probability analysis are used for key section historical data statistics, wherein the statistics comprises wind speeds, wind directions, maximum wind speeds, duration time and the like in different years and different months, an annual wind field prediction model is established based on the statistics, and the occurrence probability of strong wind is predicted based on time and used for follow-up prediction and early warning.
In a specific embodiment, how to obtain the wind field boundary conditions is as follows:
the complex terrain, different terrains and landforms of the complex construction area and different wind field distribution and boundary conditions of construction elements on different scales are provided. The complex terrain model system for constructing the arch dam construction area can adopt an unmanned aerial vehicle, an InSar system lifting orbit satellite and the like to construct a large-scale terrain model of the dam site area.
In a specific embodiment, the terrain features comprise a vegetation area, an excavated bare area, a concrete slope area, a water surface, a dam surface and the like, models of wind speed distribution, roughness and the like of an interface area can be determined and established through an anemometer aiming at different terrain features, and a wind field boundary is accurately established.
In one embodiment, the construction machine material: different machines (cable machines, vibrating machines, excavators, automatic spraying machines, trucks and the like, water chilling units, monitoring and data relay devices and the like) for the construction of the bin surface and materials (templates, reinforcing steel bars, heat insulation plates and the like) for the construction of the bin surface can generate different wind fields under the condition of strong wind.
In a specific embodiment, the construction progress is as follows: the 300m high arch dam has a huge body shape, the construction period is usually 3-5 years, dozens of dam sections are constructed simultaneously, the construction appearance changes every day, the wind field distribution is obviously influenced by structures such as a canyon wind field, a dam surface structure, the height difference of adjacent dam sections, flood discharge holes, an elevator shaft, a gallery and the like, the wind field distribution has certain commonality in different construction progress, but has certain difference, and therefore measurement and evaluation are needed in time.
In one embodiment, the method for predicting the wind field of the arch dam construction area further comprises the following steps:
and carrying out safety early warning according to the wind field analysis result in the arch dam construction area.
In order to facilitate field execution and operation, different protective measures are adopted according to the carrying capacities of personnel, equipment and structures obtained through simulation analysis and aiming at different objects, and the early warning index is usually wind speed.
In an embodiment, based on the acquired wind field data, determining wind field boundary conditions under different conditions according to the real terrain model, the construction machinery material and the construction progress of the arch dam construction area, as shown in fig. 2, includes:
s201: classifying the real terrain model according to terrain, wherein the terrain types comprise: vegetation areas, excavated bare areas, concrete slope areas, water surfaces and dam faces.
S202: and determining and establishing a wind speed distribution model and a roughness model of the interface area according to the terrain type so as to construct a wind field boundary.
S203: and determining a wind field generated by the construction machinery material under the condition of strong wind according to the shape of the construction machinery material.
S204: and determining the change condition of the construction morphology according to the construction progress.
S205: and generating wind field boundary conditions under different conditions according to the wind field boundary, the wind field generated by construction machinery materials and the construction appearance change condition.
In a specific embodiment, in different construction stages, the influence of the body type of the dam body on the wind field of the dam area is large, as the dam body is increased, a low-pressure area which is more and more obvious is formed on the wind surface of the dam body, so that gas flowing through the dam surface flows back, the flow speed is reduced obviously, different forms of vortex are formed behind the dam under the conditions of different wind directions and wind speeds, the loss of flow field energy is increased along with the height of the dam, the flow speed is low, the wind field on the left side in front of the dam along a river is mainly formed according to the terrain, the flow speed is reduced compared with the incoming flow, the flow field in a concave area on the right side is complex, different forms of spiral ascending; the wind speed at the position of the dam abutment is increased by about 5-9m/s compared with the wind speed of the incoming flow.
Most of the wind field near the cabin surface comes from the vortex backflow of the wind surface of the dam body, the wind speed of the cabin surface is reduced compared with the incoming flow due to the action of viscous laminar flow, and the wind speed of the cabin surface is less than 5m/s under the condition of the six-level wind incoming flow in the Yanghvalley; when the heights of the templates are respectively 3m and 4.5m, the lower the template height is, the smaller the formed vortex of the windward side is, the trend is obvious, and the higher the wind speed is, the higher the formed vortex is, and the ratio is increased by about 0.4 m/s.
The wind field analysis boundary conditions such as wind speed, wind direction, flow velocity distribution, turbulence kinetic energy, turbulence dissipation rate, turbulence intensity and the like are obtained by accurately measuring wind fields in different areas through the meteorological device.
In an embodiment, according to the boundary condition of the wind field, analyzing the wind field in the construction area of the arch dam by using a numerical simulation method, as shown in fig. 3, includes:
s301: based on the boundary conditions of the wind field, a time correlation method is adopted to solve a turbulence Navirt-stocks equation for preliminary calculation to obtain first wind field analysis data.
S302: and based on the first wind field analysis data, processing by adopting a finite volume discrete method of a central node to obtain second wind field analysis data.
S303: and processing the second wind field analysis data by adopting an explicit runge-kutta method to obtain third wind field analysis data.
S304: and carrying out full multi-grid initial field processing and multi-grid iterative accelerated convergence on the third wind field analysis data to obtain final analysis data of the wind field in the arch dam construction area.
The S301-S304 parts mainly comprise two contents, namely the real terrain of a construction area and the characteristics related to an arch dam.
The data of the real terrain used for wind field analysis mainly comprise space coordinate information and surface feature roughness (see step3, the important influence of different surface features on wind field distribution.)
Wherein the arch dam related features include: the concrete side slope near the dam body, the dam foundation excavation surface, the dam foundation fillet, various functional holes (surface hole, deep hole, elevator shaft and gallery), the dam body, the storehouse surface and other geometric characteristics, space coordinates, surface roughness, turbulence characteristic parameters and the like.
And obtaining boundary conditions of various wind fields based on the steps, and analyzing the wind fields by combining a numerical simulation technology.
The method mainly adopts Fluent software to calculate, and the numerical calculation and processing method is a time correlation method for solving a turbulence Navirt-stocks equation, finite volume dispersion of a central node, an explicit runge-kutta method, full multi-grid initial field processing and multi-grid iterative accelerated convergence. The turbulence model used in the calculation is a turbulence model with a wall function.
In a specific embodiment, the influence of strong wind on the wind field environment of the concrete bin surface is different according to different relative positions of the bin surfaces and different heights of the templates added on the bin surfaces. As shown in fig. 4, the wind field distribution under the influence of the downwind and crosswind, and the wind load on the template.
In one embodiment, the safety precaution is performed according to the wind field analysis result in the arch dam construction area, and the safety precaution comprises the following steps:
and monitoring wind speed data in real time from the final analysis data, and triggering safety early warning when the wind speed data exceeds a preset value.
In a specific embodiment, in order to facilitate field execution and operation, different protective measures are adopted for different objects according to the load bearing capacity of personnel, equipment and structures obtained through simulation analysis, and the early warning index is usually wind speed.
Aiming at personnel protection: due to the fact that construction areas are complex, and the difference of wind fields of different areas at the same time is large, the personnel working in different areas are subjected to graded early warning, and early warning wind speed values are given according to simulation results. For example, the maximum wind speed measured by the upstream cofferdam weather station reaches 20m/s, at the moment, personnel at the warehouse surface immediately receive early warning and stop working, and personnel in areas such as a mixing plant, a corridor and the like can continue working.
Aiming at equipment protection: different construction equipment adopts different early warning wind speeds and measures. If the cable crane needs to stop working when the maximum wind speed breaks through a certain value, the mechanical equipment on the bin surface needs or does not need to be reinforced.
For concrete materials, when the wind speed, the humidity and the temperature reach threshold values, the temperature difference of the bin surface is increased, the humidity is dissipated and the like, so that the concrete is cracked and loses efficacy, and early warning treatment needs to be carried out in time.
Based on the same inventive concept, the embodiment of the present application further provides a wind field prediction apparatus for an arch dam construction area, which can be used to implement the method described in the above embodiments, as described in the following embodiments. Because the principle of solving the problems of the wind field prediction device for the arch dam construction area is similar to that of the wind field prediction method for the arch dam construction area, the implementation of the wind field prediction device for the arch dam construction area can be referred to that of the wind field prediction method for the arch dam construction area, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
According to another aspect of the present application, there is also provided an arch dam construction area wind field prediction apparatus, as shown in fig. 5, including:
the data acquisition unit 501 is used for acquiring wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprises wind speed data, meteorological data and weather data;
a real terrain model construction unit 502, configured to construct a real terrain model of an arch dam construction area through wind field data;
a wind field boundary condition obtaining unit 503, configured to determine, based on the obtained wind field data, wind field boundary conditions under different conditions according to the real terrain model, the construction machinery material and the construction progress of the arch dam construction area;
and the wind field analysis unit 504 is configured to analyze the wind field in the arch dam construction area by using a numerical simulation method according to the boundary condition of the wind field.
In one embodiment, the wind field prediction device for the arch dam construction area further comprises:
and the safety early warning unit is used for carrying out safety early warning according to the wind field analysis result in the arch dam construction area.
In an embodiment, as shown in fig. 6, the wind field boundary condition obtaining unit 503 includes:
a terrain classification module 601, configured to classify the real terrain model according to terrain, where the terrain types include: vegetation areas, excavated bare areas, concrete slope areas, water surfaces and dam surfaces;
a wind field boundary construction module 602, configured to determine and establish a wind speed distribution model and a roughness model of an interface area according to a terrain type, so as to construct a wind field boundary;
a first element determining module 603, configured to determine, according to the shape of the material of the construction machine, a wind field generated by the material of the construction machine under the strong wind condition;
a second element determining module 604, configured to determine a change condition of the construction morphology according to the construction progress;
and the wind field boundary condition generating module 605 is configured to generate wind field boundary conditions under different conditions according to the wind field boundary, the wind field generated by the construction machinery material, and the construction morphology change condition.
In one embodiment, as shown in fig. 7, the wind field analysis unit 504 includes:
the first calculation module 701 is used for solving a turbulence Navirt-stocks equation by adopting a time correlation method based on wind field boundary conditions to perform preliminary calculation to obtain first wind field analysis data;
a second calculation module 702, configured to obtain second wind field analysis data by processing with a finite volume discretization method of a central node based on the first wind field analysis data;
the third calculation module 703 is configured to, based on the second wind field analysis data, perform processing by using an explicit runge-kutta method to obtain third wind field analysis data;
and the analysis module 704 is used for performing full-multiple-grid initial field processing and multiple-grid iterative accelerated convergence on the third wind field analysis data to obtain final analysis data of the wind field in the arch dam construction area.
In one embodiment, the safety precaution unit includes:
and the threshold comparison module is used for monitoring the wind speed data in real time from the final analysis data and triggering safety early warning when the wind speed data exceeds a preset value.
An embodiment of the present application further provides a specific implementation manner of an electronic device capable of implementing all steps in the method in the foregoing embodiment, and referring to fig. 8, the electronic device specifically includes the following contents:
a processor (processor)801, a memory 802, a communication Interface 803, a bus 804, and a non-volatile memory 805;
the processor 801, the memory 802 and the communication interface 803 complete mutual communication through the bus 804;
the processor 801 is configured to call the computer programs in the memory 802 and the non-volatile memory 805, and when the processor executes the computer programs, the processor implements all the steps in the method in the foregoing embodiments, for example, when the processor executes the computer programs, the processor implements the following steps:
s101: the method comprises the steps of obtaining wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprise wind speed data, meteorological data and weather data.
S102: and constructing a real terrain model of the arch dam construction area through the wind field data.
S103: and determining wind field boundary conditions under different conditions according to the real terrain model, construction machinery materials and construction progress of the arch dam construction area based on the acquired wind field data.
S104: and analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary conditions of the wind field.
Embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, where the computer-readable storage medium stores thereon a computer program, and the computer program when executed by a processor implements all the steps of the method in the above embodiments, for example, the processor implements the following steps when executing the computer program:
s101: the method comprises the steps of obtaining wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprise wind speed data, meteorological data and weather data.
S102: and constructing a real terrain model of the arch dam construction area through the wind field data.
S103: and determining wind field boundary conditions under different conditions according to the real terrain model, construction machinery materials and construction progress of the arch dam construction area based on the acquired wind field data.
S104: and analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary conditions of the wind field.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment. Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of "an embodiment" or "a particular embodiment" or the like are intended to 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 embodiments herein. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (12)
1. A method for predicting a wind field in an arch dam construction area is characterized by comprising the following steps:
acquiring wind field data in an arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprises wind speed data, meteorological data and weather data;
constructing a real terrain model of an arch dam construction area through the wind field data;
based on the acquired wind field data, determining wind field boundary conditions under different conditions according to the real terrain model, construction machinery materials and construction progress of an arch dam construction area;
and analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the boundary condition of the wind field.
2. The method for predicting the wind field of the arch dam construction area according to claim 1, further comprising:
and carrying out safety early warning according to the wind field analysis result in the arch dam construction area.
3. The method for predicting the wind field of the arch dam construction area according to claim 2, wherein the determining of the wind field boundary conditions under different conditions according to the real terrain model, the construction machinery material of the arch dam construction area and the construction progress based on the acquired wind field data comprises:
classifying the real terrain model according to terrain, wherein the terrain types comprise: vegetation areas, excavated bare areas, concrete slope areas, water surfaces and dam surfaces;
determining and establishing an interface area wind speed distribution model and a roughness model according to the terrain type to construct a wind field boundary;
determining a wind field generated by the construction machinery material under the condition of strong wind according to the shape of the construction machinery material;
determining the construction morphology change condition according to the construction progress;
and generating wind field boundary conditions under different conditions according to the wind field boundary, the wind field generated by the construction machinery material and the construction morphology change condition.
4. The method for predicting the wind field of the arch dam construction area according to the claim 3, wherein the analyzing the wind field in the arch dam construction area by using a numerical simulation method according to the boundary condition of the wind field comprises:
based on the wind field boundary conditions, solving a turbulence Navirt-stocks equation by adopting a time correlation method to perform preliminary calculation to obtain first wind field analysis data;
based on the first wind field analysis data, processing by adopting a finite volume discrete method of a central node to obtain second wind field analysis data;
processing the second wind field analysis data by adopting an explicit runge-kutta method to obtain third wind field analysis data;
and carrying out full multi-grid initial field processing and multi-grid iterative accelerated convergence on the third wind field analysis data to obtain final analysis data of the wind field in the arch dam construction area.
5. The method for predicting the wind field of the arch dam construction area according to the claim 4, wherein the safety early warning according to the wind field analysis result in the arch dam construction area comprises the following steps:
and monitoring wind speed data in real time from the final analysis data, and triggering safety early warning when the wind speed data exceeds a preset value.
6. A wind field prediction device for an arch dam construction area is characterized by comprising:
the data acquisition unit is used for acquiring wind field data in the arch dam construction area through a meteorological station arranged in the arch dam construction area, wherein the wind field data comprises wind speed data, meteorological data and weather data;
the real terrain model building unit is used for building a real terrain model of an arch dam construction area through the wind field data;
the wind field boundary condition acquisition unit is used for determining wind field boundary conditions under different conditions according to the real terrain model, construction machinery materials and construction progress of an arch dam construction area based on the acquired wind field data;
and the wind field analysis unit is used for analyzing the wind field in the arch dam construction area by adopting a numerical simulation method according to the wind field boundary condition.
7. The apparatus for predicting a wind field in an arch dam construction area according to claim 6, further comprising:
and the safety early warning unit is used for carrying out safety early warning according to the wind field analysis result in the arch dam construction area.
8. The apparatus for predicting a wind field in an arch dam construction area according to claim 7, wherein the wind field boundary condition obtaining unit comprises:
a terrain classification module for classifying the real terrain model according to terrain, the terrain type comprising: vegetation areas, excavated bare areas, concrete slope areas, water surfaces and dam surfaces;
the wind field boundary construction module is used for determining and establishing an interface area wind speed distribution model and a roughness model according to the terrain type so as to construct a wind field boundary;
the first element determining module is used for determining a wind field generated by the construction machinery material under the condition of strong wind according to the appearance of the construction machinery material;
the second element determining module is used for determining the change condition of the construction morphology according to the construction progress;
and the wind field boundary condition generating module is used for generating wind field boundary conditions under different conditions according to the wind field boundary, the wind field generated by the construction machinery material and the construction morphology change condition.
9. The apparatus for predicting a wind field in an arch dam construction area according to claim 8, wherein the wind field analyzing unit comprises:
the first calculation module is used for solving a turbulence Navirt-stocks equation by adopting a time correlation method based on the wind field boundary condition to perform preliminary calculation to obtain first wind field analysis data;
the second calculation module is used for processing the first wind field analysis data by adopting a finite volume discrete method of a central node to obtain second wind field analysis data;
the third calculation module is used for processing the second wind field analysis data by adopting an explicit runge-kutta method to obtain third wind field analysis data;
and the analysis module is used for carrying out full multi-grid initial field processing and multi-grid iterative accelerated convergence on the third wind field analysis data to obtain final analysis data of the wind field in the arch dam construction area.
10. The apparatus for predicting a wind field in a construction area of an arch dam according to claim 9, wherein the safety precaution unit comprises:
and the threshold comparison module is used for monitoring the wind speed data in real time from the final analysis data and triggering safety early warning when the wind speed data exceeds a preset value.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the method of wind farm prediction for arch dam construction areas of any of claims 1 to 5.
12. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method for wind farm prediction in an arch dam construction area of any one of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113656975A (en) * | 2021-08-23 | 2021-11-16 | 国家能源集团青海电力有限公司 | Method, device and equipment for analyzing construction progress of concrete faced rockfill dam in alpine and high-altitude areas |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104655391A (en) * | 2015-01-30 | 2015-05-27 | 西南交通大学 | Three-dimensional gradient boundary transition device applied to wind field characteristic wind tunnel experiments of terrain model |
| CN107357999A (en) * | 2017-07-19 | 2017-11-17 | 云南电网有限责任公司电力科学研究院 | The method for numerical simulation and system of a kind of wind field |
| US20180075537A1 (en) * | 2016-09-14 | 2018-03-15 | Swiss Reinsurance Company Ltd. | Method and system for automated location-dependent recognition of storm risks and exposure-based parametric risk-transfer |
| CN109165476A (en) * | 2018-10-16 | 2019-01-08 | 广东电网有限责任公司 | A kind of modeling method and simulation of wind method of modularization wind-field model |
| CN109297669A (en) * | 2018-11-07 | 2019-02-01 | 中南大学 | Orographic winds field characteristic wind tunnel test test macro and test method |
| CN208472669U (en) * | 2018-06-26 | 2019-02-05 | 贵州省水利水电勘测设计研究院 | A kind of high steep landform Arch Dam Abutment excavation structure of cave type |
| EP3444640A1 (en) * | 2017-08-17 | 2019-02-20 | China University Of Geosciences (Beijing) | Method and device of predicting reservoir sand bodies based on a wind field-provenance-basin system |
| CN110457819A (en) * | 2019-08-13 | 2019-11-15 | 宁波市规划设计研究院 | A method of the natural air duct in city is identified according to natural environment |
| US20200018666A1 (en) * | 2019-07-02 | 2020-01-16 | Shanghai Typhoon Institute, CMA | Wind field dynamic downscaling method based on aerodynamic parameters of simplified terrain |
| CN111364301A (en) * | 2020-03-17 | 2020-07-03 | 新疆农业大学 | Method for constructing wind and sand resistant asphalt concrete by using dam body and core wall to fill height difference |
-
2021
- 2021-03-09 CN CN202110254646.2A patent/CN113065184B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104655391A (en) * | 2015-01-30 | 2015-05-27 | 西南交通大学 | Three-dimensional gradient boundary transition device applied to wind field characteristic wind tunnel experiments of terrain model |
| US20180075537A1 (en) * | 2016-09-14 | 2018-03-15 | Swiss Reinsurance Company Ltd. | Method and system for automated location-dependent recognition of storm risks and exposure-based parametric risk-transfer |
| CN107357999A (en) * | 2017-07-19 | 2017-11-17 | 云南电网有限责任公司电力科学研究院 | The method for numerical simulation and system of a kind of wind field |
| EP3444640A1 (en) * | 2017-08-17 | 2019-02-20 | China University Of Geosciences (Beijing) | Method and device of predicting reservoir sand bodies based on a wind field-provenance-basin system |
| CN208472669U (en) * | 2018-06-26 | 2019-02-05 | 贵州省水利水电勘测设计研究院 | A kind of high steep landform Arch Dam Abutment excavation structure of cave type |
| CN109165476A (en) * | 2018-10-16 | 2019-01-08 | 广东电网有限责任公司 | A kind of modeling method and simulation of wind method of modularization wind-field model |
| CN109297669A (en) * | 2018-11-07 | 2019-02-01 | 中南大学 | Orographic winds field characteristic wind tunnel test test macro and test method |
| US20200018666A1 (en) * | 2019-07-02 | 2020-01-16 | Shanghai Typhoon Institute, CMA | Wind field dynamic downscaling method based on aerodynamic parameters of simplified terrain |
| CN110457819A (en) * | 2019-08-13 | 2019-11-15 | 宁波市规划设计研究院 | A method of the natural air duct in city is identified according to natural environment |
| CN111364301A (en) * | 2020-03-17 | 2020-07-03 | 新疆农业大学 | Method for constructing wind and sand resistant asphalt concrete by using dam body and core wall to fill height difference |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113656975A (en) * | 2021-08-23 | 2021-11-16 | 国家能源集团青海电力有限公司 | Method, device and equipment for analyzing construction progress of concrete faced rockfill dam in alpine and high-altitude areas |
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