CN115577987A

CN115577987A - Wind field correction method, device, equipment and computer readable storage medium

Info

Publication number: CN115577987A
Application number: CN202211561609.7A
Authority: CN
Inventors: 焦圆圆; 张波; 赵娜; 习树峰; 张碧嘉; 孙亚南; 邹梦婷; 江雨桐; 蒋会春; 王雨蒙
Original assignee: Shenzhen Technology Institute of Urban Public Safety Co Ltd
Current assignee: Shenzhen Technology Institute of Urban Public Safety Co Ltd
Priority date: 2022-12-07
Filing date: 2022-12-07
Publication date: 2023-01-06
Anticipated expiration: 2042-12-07
Also published as: CN115577987B

Abstract

The invention discloses a wind field correction method, a wind field correction device, wind field correction equipment and a computer readable storage medium, wherein the method comprises the following steps: obtaining the average wind speed and the average wind direction of a wind field where an object to be evaluated is located, and determining the gradient; if the gradient is greater than the preset gradient, acquiring a first height, a second height and a gradient direction; determining the position according to the slope direction and the average wind direction; determining parameters according to the first height, the second height, the gradient and the position, and obtaining an actual wind speed according to the parameters; and according to the actual wind speed and the theoretical wind speed, performing risk assessment and early warning to determine whether the object is dangerous or not under the strong typhoon. The method and the device can determine parameters according to the first height, the second height, the gradient and the position, correct the average wind speed according to the parameters to obtain the actual wind speed of the wind field where the object is located, and then perform risk assessment and early warning by comparing the actual wind speed with the theoretical wind speed of the object to determine whether the object is assessed to be dangerous under strong typhoon.

Description

Wind field correction method, device, equipment and computer readable storage medium

Technical Field

The present invention relates to the field of wind field correction technologies, and in particular, to a wind field correction method, apparatus, device, and computer-readable storage medium.

Background

In recent years, typhoon disasters have the characteristics of increasing frequency of extreme events, disaster chain reaction, multiple disaster concurrence and the like, and the economic and social losses are increasingly serious. The urban lifeline system is an important disaster-bearing body for typhoon disasters, and the damage and the influence of the typhoon disasters on the urban lifeline system are very serious. At present, most of researches on typhoon and secondary derived disasters are macroscopic or qualitative analysis, and quantitative analysis and researches on microscopic or numerical simulation level are few.

The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.

Disclosure of Invention

The invention mainly aims to provide a wind field correction method, a wind field correction device, wind field correction equipment and a computer readable storage medium, and aims to solve the technical problem that risk evaluation accuracy is low under strong typhoon because wind speed of a wind field of an evaluation object is not accurate enough in mountainous terrain through a WRF meteorological model.

In order to achieve the above object, the present invention provides a wind farm correction method, including the steps of:

obtaining the average wind speed and the average wind direction of a wind field where an object to be evaluated is located through a WRF meteorological model, and determining the gradient of the object on a mountain peak;

if the gradient is larger than a preset gradient, acquiring a first height of the object on a peak, a second height of the peak and a slope direction of the peak, wherein the first height is smaller than or equal to the second height;

determining the position of the object on the mountain peak according to the slope direction and the average wind direction, wherein the position comprises a windward slope and a leeward slope;

determining parameters according to the first height, the second height, the gradient and the position, and correcting the average wind speed according to the parameters to obtain the actual wind speed of the wind field;

and according to the actual wind speed and a preset theoretical wind speed which can be resisted by the object, performing risk assessment and early warning to determine whether the object is dangerous under strong typhoon.

Further, the step of determining the position of the object on the peak according to the slope direction and the average wind direction comprises:

if the included angle between the slope direction and the wind direction is smaller than a first preset angle or larger than a second preset angle, determining the windward slope of the object on the mountain peak;

and if the included angle between the slope direction and the wind direction is larger than a first preset angle and smaller than a second preset angle, determining that the object is on the leeward slope of the mountain peak.

Further, the step of determining a parameter based on the first elevation, the second elevation, the grade, and the position comprises:

taking a preset third height and the second height as a first interval, wherein the third height is smaller than the second height;

taking a preset fourth height and the third height as a second interval, wherein the fourth height is smaller than the third height;

taking a preset fifth height and the preset fourth height as a third interval, wherein the fifth height is smaller than the fourth height;

determining a parameter based on the first interval, the second interval, the third interval, the first altitude, the second altitude, the grade, and the position.

Further, the parameters include a first parameter, a second parameter, and a third parameter, and the step of determining the parameters according to the first interval, the second interval, the third interval, the first altitude, the second altitude, the gradient, and the position includes:

when the first height is within the first interval, determining a first formula corresponding to the first interval, and determining the first parameter according to the first height, the second height, the gradient and the first formula;

when the first height is within the second interval, determining a target formula corresponding to the second interval according to the position, and determining the second parameter according to the first height, the second height, the gradient and the target formula;

and when the first height is within the third interval, determining the third parameter corresponding to the third interval according to the position.

Further, the target formula includes a second formula, the second parameter includes a first target parameter, the determining the target formula corresponding to the second interval according to the position includes:

and when the position is a windward slope, determining a second formula corresponding to the second interval, and determining a first target parameter according to the first height, the second height, the slope and the second formula.

Further, the target formula includes a third formula, the second parameter includes a second target parameter, the determining the target formula corresponding to the second interval according to the position includes:

and when the position is a leeward slope, determining a third formula corresponding to the second interval, and determining a second target parameter according to the first height, the second height, the slope and the third formula.

Further, the third parameter includes a third target parameter and a fourth target parameter, and when the first height is within the third interval, the step of determining the third parameter corresponding to the third interval according to the position includes:

when the position is a windward slope, determining a third target parameter corresponding to the third interval;

and when the position is a leeward slope, determining a fourth target parameter corresponding to the third interval.

In addition, to achieve the above object, the present invention also provides a wind farm correction apparatus, including:

the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the average wind speed and the average wind direction of a wind field where an object to be evaluated is located through a WRF meteorological model and determining the gradient of the object on a peak;

the second obtaining module is used for obtaining a first height of the object on a peak, a second height of the peak and a slope direction of the peak if the slope is larger than a preset slope, wherein the first height is smaller than or equal to the second height;

the determining module is used for determining the position of the object on the mountain according to the slope direction and the average wind direction, wherein the position comprises a windward slope and a leeward slope;

the wind speed correction module is used for determining parameters according to the first height, the second height, the gradient and the position, and correcting the average wind speed according to the parameters to obtain the actual wind speed of the wind field;

and the risk evaluation module is used for carrying out risk evaluation and early warning according to the actual wind speed and a preset theoretical wind speed which can be resisted by the object so as to determine whether the object is dangerous or not under strong typhoon.

In addition, to achieve the above object, the present invention also provides a wind farm correction apparatus, including: the wind field correction method comprises a memory, a processor and a wind field correction program which is stored on the memory and can run on the processor, wherein the wind field correction program realizes the steps of the wind field correction method when being executed by the processor.

In addition, to achieve the above object, the present invention also provides a computer readable storage medium having a wind farm correction program stored thereon, the wind farm correction program, when executed by a processor, implementing the steps of the wind farm correction method described above.

According to the method, the average wind speed and the average wind direction of a wind field where an object to be evaluated is located are obtained through a WRF meteorological model, the gradient of the object on a mountain peak is determined, then if the gradient is larger than a preset gradient, the first height of the object on the mountain peak, the second height of the mountain peak and the slope direction of the mountain peak are obtained, the first height is smaller than or equal to the second height, the position of the object on the mountain peak is determined according to the slope direction and the average wind direction, the position comprises an upwind slope and a leeward slope, then parameters are determined according to the first height, the second height, the gradient and the position, the average wind speed is corrected according to the parameters to obtain the actual wind speed of the wind field, then risk evaluation and early warning are carried out according to the actual wind speed and a preset theoretical wind speed which the object can withstand, whether the object is in a high typhoon condition is determined, whether the risk of the object is found by comparing the theoretical wind speed with the actual wind speed and the risk of the object is found, and whether the risk of the object is found by the theoretical wind speed and the risk evaluation and the risk of the object is carried out on the high typhoon the wind.

Drawings

FIG. 1 is a schematic structural diagram of a wind farm correction device in a hardware operating environment according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating a wind farm correction method according to a first embodiment of the present invention;

FIG. 3 is a schematic functional block diagram of an embodiment of a wind farm correction apparatus according to the present invention;

FIG. 4 is a risk early warning level division diagram of the wind farm correction method of the present invention;

FIG. 5 is an evaluation index classification chart of the wind field correction method of the present invention;

FIG. 6 is an evaluation index classification chart of the wind field correction method of the present invention;

FIG. 7 is a conversion chart of wind speed time interval in the wind field correction method of the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

As shown in fig. 1, fig. 1 is a schematic structural diagram of a wind farm modification device in a hardware operating environment according to an embodiment of the present invention.

The wind field correction device in the embodiment of the present invention may be a PC, or may be a mobile terminal device having a display function, such as a smart phone, a tablet computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4) player, a portable computer, or the like.

As shown in fig. 1, the wind farm correction apparatus may include: a processor 1001, e.g. a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.

Optionally, the wind field correction device may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. In particular, the light sensor may include an ambient light sensor that adjusts the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that turns off the display screen and/or the backlight when the wind field correction device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the device is stationary, and can be used for applications of recognizing wind field correction device gestures (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; of course, the wind field correction device may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.

Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a wind farm modification program.

In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be used to invoke a wind farm correction program stored in the memory 1005.

In this embodiment, the wind farm correction apparatus includes: the wind farm correction method comprises a memory 1005, a processor 1001 and a wind farm correction program which is stored on the memory 1005 and can run on the processor 1001, wherein when the processor 1001 calls the wind farm correction program stored in the memory 1005, the steps of the wind farm correction method in each embodiment are executed.

The invention also provides a wind field correction method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the method of the invention.

In this embodiment, the wind field correction method includes the following steps:

step S101, obtaining the average wind speed and the average wind direction of a wind field where an object to be evaluated is located through a WRF meteorological model, and determining the gradient of the object on a mountain peak;

in this embodiment, first, a wind field is constructed for an object to be evaluated through a WRF meteorological model, and an average wind speed and an average wind direction of the wind field are obtained, for example, the WRF meteorological model outputs an average wind speed for 10 minutes and outputs an average wind direction for 10 minutes, and then, a slope of the object on a mountain peak can be determined through an accurate measurement device, where the object may be a 500KV line, a 200KV line, a station oil depot, a 500KV substation, a 200KV substation, a power plant, a water plant, a sound barrier, a vehicle section, a traffic signboard, a wind barrier, a water supply project, a street tree, an oil supply pipeline, a subway train, a contact network, a station ceiling, and the like.

Step S102, if the gradient is larger than a preset gradient, acquiring a first height of the object on a peak, a second height of the peak and a slope direction of the peak, wherein the first height is smaller than or equal to the second height;

in this embodiment, first, it is determined whether the slope is greater than a preset slope, and if the slope is less than the preset slope, because the slope is relatively gentle and the area is relatively large, these relatively gentle terrains can be identified by the underlying surface data in the WRF meteorological model, and for such objects to be evaluated, the wind farm products output in the WRF meteorological model can be directly used without additional correction, where the preset slope may be set to 16.7 °.

If the gradient is greater than the preset gradient, acquiring a first height of the object on a peak, a second height of the peak and a gradient direction of the peak through a precise measuring device, wherein the first height is less than or equal to the second height, namely when the object is positioned at the top of a mountain, the first height is equal to the second height, and the first height and the second height can be heights relative to the bottom of the mountain, elevations or altitudes.

Step S103, determining the position of the object on the peak according to the slope direction and the average wind direction, wherein the position comprises a windward slope and a leeward slope;

in this embodiment, the position of the object on the peak is determined by determining the included angle between the slope direction and the average wind direction, and the positions may include a windward slope and a leeward slope.

Further, in an embodiment, the step S103 includes:

step a, if the included angle between the slope direction and the wind direction is smaller than a first preset angle and larger than a second preset angle, determining the windward slope of the object on the mountain peak;

and b, if the included angle between the slope direction and the wind direction is larger than a first preset angle and smaller than a second preset angle, determining that the object is on a leeward slope of the mountain peak.

In this embodiment, first, an included angle between a slope direction and a wind direction is determined, if the included angle is smaller than a first preset angle, the object is determined to be on the windward slope of the peak, and if the included angle is larger than a second preset angle, the object is determined to be on the windward slope of the peak.

And when the included angle between the slope direction and the wind direction is larger than a first preset angle and smaller than a second preset angle, determining that the object is on a leeward slope of the mountain. Specifically, the first preset angle may be set to 89 °, 90 °, 91 °, 92 °, etc., and the second preset angle may be set to 269 °, 270 °, 271 °, etc.

And step S104, determining parameters according to the first height, the second height, the gradient and the position, and correcting the average wind speed according to the parameters to obtain the actual wind speed of the wind field.

In this embodiment, the parameters may be determined by the first height, the second height, the gradient, and the position, and the parameters may be multiplied by the average wind speed to obtain a calculation result, where the calculation result is the actual wind speed of the wind field where the object is located. Specifically, the average wind speed V is multiplied by the parameter γ, so that the actual wind speed at the position of the evaluation object after the correction can be obtained

I.e. by

。

And S105, performing risk assessment and early warning according to the actual wind speed and a preset theoretical wind speed which can be resisted by the object to determine whether the object is dangerous under strong typhoon.

In this embodiment, the sustainable theoretical wind speed of the object of the life line system and the actual wind speed of the object may be obtained by converting the wind resistance capability, and the actual wind speed is compared with the theoretical wind speed, so as to evaluate the influence capability of the strong typhoon wind speed on the evaluation object, for example, the ratio P = the actual wind speed/the theoretical wind speed of the object. If the ratio P is smaller than 1, the actual wind speed still does not reach the theoretical wind speed of the object; if the ratio P is greater than 1, it indicates that the actual wind speed exceeds the theoretical wind speed of the object, the object is in an extremely dangerous stage, and the operation of the object may be greatly affected or even not normally used. And carrying out certain numerical classification on the ratio, carrying out risk early warning grade division according to different risk early warning grade requirements, and identifying the risk condition of the evaluation object under the strong wind force attack of strong typhoon so as to carry out risk early warning. The specific ranking is shown in fig. 4.

The evaluation indexes of the wind resistance of the common building equipment and facilities include: wind speed, wind speed in years, wind power level, wind offset wind speed, wind pressure, wind load and the like. Different equipment and facilities have different evaluation indexes, and at the moment, certain conversion needs to be carried out so as to carry out wind disaster risk assessment in a unified manner. The evaluation indexes of the wind resistance of the design commonly used by different evaluation objects are classified according to a life line system, and are shown in fig. 5. Even in the same lifeline system, there are many evaluation indexes of design wind power, and three evaluation indexes of wind speed, wind power level and basic wind pressure are mainly used. Since different evaluation indexes have different conversion relations with the wind speed, they need to be reclassified according to different evaluation index characteristics, as shown in fig. 6. At this time, for the same type of designed wind power evaluation index, the same algorithm can be adopted to obtain the theoretical maximum resistant wind speed of the evaluation object. It should be noted that "wind speed" in the evaluation index of wind power design refers to the average wind speed 10 minutes at a height of ten meters from the ground, that is, the wind speed definition commonly used in meteorological observation and simulation, so the "wind speed" evaluation index here can be directly used without conversion.

The conversion of the wind speed which is met for many years is mainly used for designing wind indexes of traffic signboards in a road lifeline system and wind barriers in a subway system. The wind resistance of the evaluation object needs to be set according to the local long-term climate conditions, namely the multi-year wind speed distribution, to find the relative maximum value of the daily wind speed, and set the recurrence period of a period of time, and the estimation is obtained through calculation in the form of probability distribution. For the calculation of the wind speed in the first years, the most common probability distribution function and the better fitting effect on the wind speed are Gumbel (type I) type probability distribution functions, which are also called as Gong Beier (E.J. Gumbel) frequency distribution curves, and the specific probability distribution is as follows:

，

wherein, the parameters alpha and beta can be obtained by a least square method. For the recorded maximum wind speed sample capacity N for years, a designed wind speed calculation formula can be obtained through conversion:

，

at this time, the empirical frequency P is obtained by arranging wind speed decreasing sequences under unbiased estimation, wherein the m-th decreasing variable empirical frequency calculation formula is:

wherein

and the regeneration period

The relationship is

Reflecting no exceeding of design wind speed

The probability of (c). According to historical meteorological data accumulated for years, a Gumbel extreme probability distribution function is applied, and the daily maximum wind speed in one year can be calculated. For other reappearance periods

Solar maximum wind speed

The wind speed can be obtained by changing the maximum wind speed in a given 10-year and 100-year recurrence period as follows:

for the traffic signboard in the road lifeline system and the wind barrier in the subway system, the maximum wind speed reference value and the formula of the local day can be passed

And (5) carrying out daily maximum wind speed conversion to obtain the maximum wind speed theoretical value which can be resisted. Such as a wind barrier of an elevated section of a subway, adopts a design standard which meets every 100 years, so that the corresponding daily maximum wind speed is 37.3 m/s and is used as the theoretical maximum resistant wind speed in the evaluation.

For the conversion of the wind power grade, for the designed wind power grade adopted by the evaluation object, a futon wind power grade table can be directly consulted, and the maximum wind speed corresponding to the wind power grade is searched to be used as the theoretical maximum wind speed value which can be resisted by the evaluation object.

For the conversion of wind deviation wind speed and gust wind speed, the wind deviation design wind speed is commonly used for the wind power design of lines which are easily influenced by strong wind and generate obvious swing, such as an overhead contact network of a subway. Particularly, the maximum wind resistance strength (wind offset wind speed) is set mainly by considering different suspension forms of lines, so that the maximum wind offset degree of the equipment facility is obtained for structural design. The wind offset wind speed designed for equipment facilities is usually set and calculated by adopting 3-second average wind speed, so that if the wind speed is combined with an hourly 2-minute or 10-minute average wind speed product output in a meteorological mode, time-distance conversion is needed, and a contact net is a facility device easy to shake, so that strong wind speed in a short time range is considered more, namely the hourly maximum 2-minute average wind speed is selected to be converted with the wind offset design wind speed, and the wind power which can be resisted by the equipment device is evaluated. In addition, a certain design standard of gust or instantaneous wind speed exists in part of equipment facilities, and the conversion of different wind speed time intervals can be carried out according to the graph 7.

For the conversion of wind pressure or basic wind pressure, the wind pressure refers to the wind pressure on the plane where the object is perpendicular to the direction of the airflow, and is also the dynamic pressure of the wind. For some large-sized buildings and equipment facilities, such as transformer substations, power plants, water plants, vehicle sections and sound barriers, the maximum wind power which can be borne by wind pressure is measured. The relationship between wind speed and wind pressure can be obtained by Bernoulli's equation:

in the formula,

is wind pressure, the basic unit is

Or Pa;

is the air density, the basic unit is

；

The wind speed is usually the average wind speed 10 minutes from the ground, i.e. the normal observed wind speed of the weather. A wind pressure of 1000Pa corresponds to a pressure of 1000 newtons over a 1 square meter area, and approximately 100 kilograms. In daily calculation, although the air density varies depending on the ambient temperature, air pressure, humidity, etc., the air density is assumed to be within the ground surface plane

The formula (7) is simplified because the variation range is small for a fixed value, and here, a uniform air density of 1.25 is set

Air pressure 1013

The temperature is 15 ℃, the gravity acceleration is 9.8, and the formula is substituted

Obtaining:

at the moment, the wind pressure of the object can be evaluated

Converting to obtain the theoretical maximum wind speed that it can resist

. For example, if the design wind pressure of the Shenzhen acoustic barrier is 1250Pa, the design wind pressure can be calculated by the formula

The design resisting wind speed of 44.7 m/s is obtained through conversion. For part of the evaluation objects, the reference value of the wind pressure can be set in the structural design by referring to the climate characteristics of the evaluation area. The reference value is called reference wind pressure or basic wind pressure, and is the annual average maximum wind pressure of a specified time interval and a recurrence period at a standard height on the open flat ground or above the sea surface.

For the conversion of wind load, the wind pressure only specifies the magnitude of the dynamic pressure of the wind resisted by an equipment under the normal factory or design condition, and in the actual design and use, the wind resisting capability of the equipment needs to be judged by considering the environment and the specific form of the equipment, especially the equipment with large plane or large volume. For example, glass curtain wall resistance to wind pressure performance regulation, glass curtain wall should satisfy under the wind load standard value, and glass curtain wall's deformation is no longer than the specified value, and does not take place any damage.

At this time, the wind power criterion is wind load, and the calculation formula is as follows:

wherein

the wind load is usually expressed in Pa or kPa.

Wind pressure, commonly used unit is

Or Pa, and wind pressureAnd correspondingly.

And respectively calculating values according to the roughness of the ABCD type ground for the wind pressure height change coefficient.

For the wind vibration coefficient, when calculating a specific non-enclosure structure, if the basic natural vibration period is greater than 0.25s, the influence of the wind pressure pulsation on downwind wind vibration of the structure is considered. Generally, for equipment facilities with smaller sizes, such as 11m cantilever columns and 15m soft cross steel columns in subway overhead line system facilities, the natural vibration periods are respectively 0.143s and 0.195s and are less than 0.25s, and the influence of wind vibration can be ignored.

The wind load form factor is the ratio of the average pressure or suction caused by wind acting on a certain area range of the surface of a building to the speed and pressure of incoming wind, and is mainly related to the form and size of the building and partially related to the surrounding environment.

According to the wind field correction method provided by the embodiment, the average wind speed and the average wind direction of a wind field where an object to be evaluated is located are obtained through a WRF meteorological model, the gradient of the object on a peak is determined, then if the gradient is larger than a preset gradient, the first height of the object on the peak, the second height of the peak and the slope direction of the peak are obtained, the first height is smaller than or equal to the second height, the position of the object on the peak is determined according to the slope direction and the average wind direction, the position comprises an upwind slope and a leeward slope, then parameters are determined according to the first height, the second height, the gradient and the position, the average wind speed is corrected according to the parameters to obtain the actual wind speed of the wind field, then risk evaluation and early warning are carried out according to the actual wind speed and the preset theoretical wind speed which the object can withstand, whether the risk evaluation and early warning are carried out on the object under strong typhoon is determined, and whether the risk evaluation and early warning are carried out according to the actual wind speed and the theoretical wind speed which the object can withstand the risk evaluation and the early warning are carried out on the object.

Based on the first embodiment, a second embodiment of the wind farm correction method of the present invention is proposed, in this embodiment, step S104 includes:

step S201, using a preset third height and the second height as a first interval, wherein the third height is smaller than the second height;

step S202, a preset fourth height and the third height are used as a second interval, wherein the fourth height is smaller than the third height;

step S203, using a preset fifth height and the fourth height as a third interval, wherein the fifth height is smaller than the fourth height;

step S204, determining parameters according to the first interval, the second interval, the third interval, the first height, the second height, the gradient and the position.

In this embodiment, a preset third height and a preset second height are taken as a first interval, where the third height is smaller than the second height, specifically, the third height is 10 meters, and the second height is 15 meters, and then the first interval may be greater than 10 meters and less than or equal to 15 meters. And taking a preset fourth height and a preset third height as a second interval, wherein the fourth height is smaller than the third height, specifically, the fourth height is 8 meters, the third height is 10 meters, and the second interval may be greater than 8 meters and less than or equal to 10 meters.

And taking a preset fifth height and a preset fourth height as a third interval, wherein the preset fifth height may be a height of a bottom of a mountain, that is, the fifth height may be 0 meter, and when the fourth height is 8 meters, the third interval may be greater than 0 meter and less than or equal to 8 meters.

Next, parameters are determined based on the first interval, the second interval, the third interval, the first altitude, the second altitude, the grade, and the position.

Further, in an embodiment, the step S204 includes:

c, when the first height is within the first interval, determining a first formula corresponding to the first interval, and determining the first parameter according to the first height, the second height, the gradient and the first formula;

d, when the first height is within the second interval, determining a target formula corresponding to the second interval according to the position, and determining the second parameter according to the first height, the second height, the gradient and the target formula;

and e, when the first height is within the third interval, determining the third parameter corresponding to the third interval according to the position.

It should be noted that the parameters include a first parameter, a second parameter, and a third parameter

In this embodiment, when the first height is within the first interval, the first formula corresponding to the first interval is determined, that is, the first height within the first interval is the first formula, and the first parameter is determined according to the first height, the second height, the gradient and the first formula,

wherein the first formula is:

wherein

where k is a coefficient, k =2.2 may be taken,

the gradient of the object on the peak when

When the value is more than 0.3, the value is 0.3; h is the second height of the mountain peak; z is the first height of the object above the peak.

Then, the first height, the second height and the gradient are substituted into the formula

To obtain a result, and substituting the result into a parameter formula

To obtain the first parameter.

And when the first height is within the second interval, determining a target formula corresponding to the second interval according to the position, and determining a second parameter according to the first height, the second height, the gradient and the target formula.

And when the first height is within the third interval, determining a third parameter corresponding to the third interval according to the position.

Further, in one embodiment, d includes:

step d1, when the position is a windward slope, determining a second formula corresponding to the second interval, and determining a first target parameter according to the first height, the second height, the slope and the second formula;

and d2, when the position is a leeward slope, determining a third formula corresponding to the second interval, and determining a second target parameter according to the first height, the second height, the slope and the third formula.

It should be noted that the target formula includes a second formula and a third formula

In this embodiment, when the position is an upwind slope, a second formula corresponding to the second section is determined, and the first target parameter is determined according to the first height, the second height, the slope, and the second formula, where the second formula is:

wherein,

then, the first height and the second height are adjustedFormula substituting two heights and gradient

To obtain a result, and substituting the result into a parameter formula

To obtain a first target parameter.

When the position is a leeward slope, determining a third formula corresponding to the second interval, and determining a second target parameter according to the first height, the second height, the slope and the third formula, wherein the third formula is as follows:

，

wherein,

To obtain a result, and substituting the result into a parameter formula

To obtain a second target parameter.

Further, in an embodiment, step e includes:

step e1, when the position is a windward slope, determining a third target parameter corresponding to the third interval;

and e1, when the position is a leeward slope, determining a fourth target parameter corresponding to the third interval.

In this embodiment, the third parameter includes a third target parameter and a fourth target parameter, and when the position is an upwind slope, the third target parameter corresponding to the third interval is determined, where the third target parameter is

Wherein

when the position is a leeward slope, determining a fourth target parameter corresponding to the third interval, wherein the fourth target parameter is

Wherein

。

according to the wind field correction method provided by this embodiment, a preset third height and a preset second height are used as a first interval, wherein the third height is smaller than the second height, then a preset fourth height and the third height are used as a second interval, wherein the fourth height is smaller than the third height, then a preset fifth height and the fourth height are used as a third interval, wherein the fifth height is smaller than the fourth height, and finally parameters are determined according to the first interval, the second interval, the third interval, the first height, the second height, the slope and the position, so that different formulas can be matched in different intervals according to the first height to accurately obtain the parameters, and then the actual wind speed of an object to be evaluated can be accurately obtained according to the parameters.

The present invention also provides a wind field correction apparatus, referring to fig. 3, the wind field correction apparatus including:

the first obtaining module 10 is configured to obtain, through a WRF meteorological model, an average wind speed and an average wind direction of a wind field where an object to be evaluated is located, and determine a slope of the object on a peak;

a second obtaining module 20, configured to obtain a first height of the object on a peak, a second height of the peak, and a slope direction of the peak if the slope is greater than a preset slope, where the first height is less than or equal to the second height;

a determining module 30, configured to determine, according to the slope direction and the average wind direction, a position of the object on the peak, where the position includes a windward slope and a leeward slope;

a wind speed correction module 40, configured to determine a parameter according to the first altitude, the second altitude, the slope, and the position, and correct the average wind speed according to the parameter to obtain an actual wind speed of the wind farm;

and the risk evaluation module 50 is used for performing risk evaluation and early warning according to the actual wind speed and a preset theoretical wind speed which can be resisted by the object so as to determine whether the object is dangerous under strong typhoon.

Further, the determining module 30 is further configured to:

Further, the wind speed correction module 40 is further configured to:

The method executed by each program unit can refer to each embodiment of the wind field correction method of the present invention, and is not described herein again.

In addition, an embodiment of the present invention further provides a wind farm correction apparatus, where the wind farm correction apparatus includes: the wind farm correction method comprises a memory, a processor and a wind farm correction program stored on the memory and capable of running on the processor, wherein the wind farm correction program when executed by the processor realizes the steps of the wind farm correction method.

Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a wind farm modification program is stored, and when being executed by a processor, the wind farm modification program implements the steps of the wind farm modification method described above.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. A wind field correction method is characterized by comprising the following steps:

2. The wind farm correction method of claim 1, wherein the step of determining the position of the object at the peak based on the slope direction and the average wind direction comprises:

3. The wind farm correction method of claim 2, wherein the step of determining a parameter based on the first altitude, the second altitude, the grade, and the position comprises:

4. The wind farm correction method of claim 3, wherein the parameters include a first parameter, a second parameter, and a third parameter, and the step of determining the parameters based on the first interval, the second interval, the third interval, the first altitude, the second altitude, the slope, and the position includes:

5. The wind farm correction method of claim 4, wherein the target formula comprises a second formula, the second parameter comprises a first target parameter, the determining the target formula for the second interval based on the position comprises:

6. The wind farm correction method of claim 4, wherein the target formula comprises a third formula, the second parameter comprises a second target parameter, the determining the target formula for the second interval based on the position, and the determining the second parameter based on the first altitude, the second altitude, the slope, and the target formula comprises:

7. The wind farm correction method according to claim 4, wherein the third parameter includes a third target parameter and a fourth target parameter, and when the first height is within the third interval, the step of determining the third parameter corresponding to the third interval according to the position includes:

8. A wind farm correction device, characterized in that it comprises:

9. A wind farm correction apparatus, characterized in that it comprises: a memory, a processor and a wind farm correction program stored on the memory and executable on the processor, the wind farm correction program when executed by the processor implementing the steps of the wind farm correction method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a wind farm correction program, which when executed by a processor implements the steps of the wind farm correction method according to any one of claims 1 to 7.