CN114662036A - Method and system for calculating wind action index of track of snowy sports project - Google Patents

Method and system for calculating wind action index of track of snowy sports project Download PDF

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Publication number
CN114662036A
CN114662036A CN202210218156.1A CN202210218156A CN114662036A CN 114662036 A CN114662036 A CN 114662036A CN 202210218156 A CN202210218156 A CN 202210218156A CN 114662036 A CN114662036 A CN 114662036A
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Prior art keywords
wind
track
action index
wind action
omega
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黄富祥
洪平
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Beijing Sport University
National Satellite Meteorological Center
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Beijing Sport University
National Satellite Meteorological Center
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Priority to CN202210218156.1A priority Critical patent/CN114662036A/en
Publication of CN114662036A publication Critical patent/CN114662036A/en
Priority to PCT/CN2022/112617 priority patent/WO2023159889A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63C—SKATES; SKIS; ROLLER SKATES; DESIGN OR LAYOUT OF COURTS, RINKS OR THE LIKE
    • A63C19/00—Design or layout of playing courts, rinks, bowling greens or areas for water-skiing; Covers therefor
    • A63C19/10—Ice-skating or roller-skating rinks; Slopes or trails for skiing, ski-jumping or tobogganing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00—Indicating or recording presence, absence, or direction, of movement
    • G01P13/02—Indicating direction only, e.g. by weather vane
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
    • G01P5/24—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting acoustical wave

Abstract

The invention provides a method and a system for calculating a wind action index of a track of a snow sports project, wherein the method comprises the following steps: acquiring parameters of a wind measuring point on a track; calculating to obtain a wind action index omega of a single wind measuring point based on the parameters; determining a weight coefficient of a wind action index omega of a wind measuring point; calculating to obtain the comprehensive wind action index of the track based on the weight coefficient and the wind action index omega
Figure DDA0003520194910000011
The invention has the advantages that: accurately describe the influence of wind power on the athlete in the sliding process on the track, and determine the starting point position and the landing speed of the athleteIn connection with this, the decision accuracy of the starting point position is improved, and the training and competition level of athletes is improved.

Description

Method and system for calculating wind action index of track of snowy sports project
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for calculating a wind action index of a track of a snow sports project.
Background
At present, in the decision and command process of large-scale international games, a hand-held anemometer is generally used for measuring the wind speed and the wind direction of a single point, and then an interphone is used for communicating with an on-site decision and command game.
Such a command decision has at least the following drawbacks: (1) the timeliness is poor. From wind measurement to intercom communication, then to decision and command competition, the usage time is 15-20 seconds, and the track wind field may have changed greatly; and (2) the precision is poor. The wind direction of the competition field is always at a certain angle with the competition track, a coach cannot accurately calculate the wind speed really acting on the competition track, the coach can only describe the wind field by rough concepts such as 'downwind', 'upwind', 'crosswind', 'side upwind', and the like, and the competition is mainly commanded by experience, so that the estimation is often inaccurate; (3) single-point anemometry cannot accurately know the wind field of the track. In practice, it is found that the wind direction and the wind speed at different points of the track are often different, sometimes even opposite wind directions, and single-point wind measurement cannot provide complete wind field information of the track, so that the confusion of a coach on a competition field to the wind field of the track is easily caused.
In order to improve the efficiency and the precision of the competition presence decision, a completely new competition support system must be constructed. The method is mainly used for solving the problem of designing a new track anemometry system.
Disclosure of Invention
The embodiment of the application provides a method for calculating the wind action index of the track of the snow sports event, the wind action index of each wind measuring point is obtained through calculation, the weight coefficient of the wind action index of each wind measuring point is determined through analysis of a training sample, and then the comprehensive wind action index of the track is obtained through calculation. The influence of wind on the athlete can be intuitively judged by integrating the wind action index, so that the decision precision of the position of the sliding point is improved, and the aim of improving the training and competition level of the athlete is fulfilled.
The embodiment of the application provides a method for calculating a wind action index of a track of a snowfield sports event, which comprises the following steps:
acquiring parameters of a wind measuring point on a track;
calculating to obtain a wind action index omega of a single wind measuring point based on the parameters;
determining a weight coefficient of a wind action index omega of a wind measuring point;
calculating to obtain the comprehensive wind action index of the track based on the weight coefficient and the wind action index omega
Figure BDA0003520194890000021
Preferably, the parameters include: wind speed v, wind direction theta and track direction angle theta0；
Wind action index ω for individual wind measurement points:
ω＝-v·cos(θ-θ0)
the omega value is obtained through calculation, a positive value indicates that the wind acting on the track is downwind, and a negative value indicates that the wind acting on the track is upwind;
the track direction angle theta0This is the angle between the direction of the athlete's sliding on the track and the true north direction.
The wind direction theta refers to an included angle between the incoming wind direction of the track and the true north direction.
Preferably, the weighting factor of the wind action index ω of the wind measuring point includes:
obtaining a training sample;
and evaluating the training sample, and determining the weight coefficient of the wind action index omega of the wind measuring point.
Preferably, the combined wind action index of the track
Figure BDA0003520194890000022
Figure BDA0003520194890000023
Wherein, ω is1、ω2And ω3Respectively representing the wind action indexes of three wind measuring points of the end point, the midway point and the slip point of the slide-assisting way, k1、k2And k3Are respectively provided withAnd representing the weight coefficients corresponding to the wind action indexes omega of the three wind measuring points of the end point, the midway point and the slip point of the slide-assisting way.
Preferably, the acquiring training samples comprises: randomly selecting a set number of wind measuring points on a track as training samples;
the training sample includes: randomly select the heights of a set number of wind measuring points on the track.
Preferably, the obtaining of the training sample further comprises:
collecting wind field wind direction theta and track direction angle theta observed by a plurality of tracks0And a plurality of sets of data of wind speed v and height of wind measuring points of random number on a plurality of tracks;
and constructing an athlete training and competition database according to the plurality of groups of data, and randomly selecting the data of the same track from the database as a training sample by using an artificial intelligence technology.
A system for calculating a wind exposure index for a snow sports track, comprising:
the parameter acquisition module is used for acquiring all parameters corresponding to the anemometry point on the track;
the wind action index calculation module is used for calculating to obtain a wind action index omega of a single wind measuring point;
the weight coefficient determining module is used for determining the weight coefficient of the wind action index omega;
a comprehensive wind action index calculation module for calculating the comprehensive wind action index of the track according to the weight coefficient and the wind action index omega
Figure BDA0003520194890000031
Preferably, the parameter obtaining module includes:
the ultrasonic anemometer is arranged at the anemometry point;
the acquisition unit and the transmission unit are in wireless communication with the ultrasonic anemometer;
the acquisition unit is used for acquiring the wind speed and the wind direction measured by the ultrasonic anemometer;
and the transmission unit is used for sending the parameters to the wind action index calculation module.
Preferably, the weight coefficient determining module includes:
the sample acquisition unit is used for acquiring a training sample;
and the evaluation unit is used for evaluating the training sample and determining the weight coefficient of the wind action index omega of the wind measuring point.
Preferably, the sample obtaining unit is specifically configured to select a set number of wind measuring points at random on the track as training samples;
the sample acquiring unit further includes:
a building subunit for collecting wind direction theta and track direction angle theta of multiple groups of tracks0Building an athlete database by using a plurality of groups of data of wind speed v and height of wind measuring points with random number of a plurality of groups of track;
and the selection subunit is used for randomly selecting the data of the same track from the athlete database to serve as a training sample.
According to the method and the system for calculating the wind action index of the snow sports event racetrack, the wind action index of each wind measuring point is obtained through calculation, the weight coefficient of the wind action index of each wind measuring point is obtained through analysis and judgment of the training sample, and then the comprehensive wind action index of the racetrack is obtained; the method is used for accurately describing the influence of wind power on the athlete in the sliding process on the track, and the starting point position and the landing speed of the athlete are linked, so that the decision-making precision of the starting point position of the athlete is improved, and the aim of improving the training and competition level of the athlete is fulfilled.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for calculating a wind action index for a track of an athletic event according to an embodiment of the present invention;
FIG. 2 is a flow chart of determining weighting factors according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a system for calculating a race course wind effect index of a sports event according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a parameter obtaining module according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a weight coefficient determining module according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The embodiment of the application provides a method and a system for calculating the wind action index of a track of a snow sports project, the wind action index of each wind measuring point and the weight coefficient of each wind measuring point are obtained through analysis and judgment of training samples, and then the comprehensive wind action index of the track is obtained to judge the influence of wind on an athlete, so that the position decision of a sliding point is improved, and the training and competition level of the athlete is improved.
As shown in fig. 1, the method is a flowchart of a method for calculating a wind action index of a track of a sports event according to an embodiment of the present invention, and the method includes the following steps:
step 101, acquiring parameters of a wind measuring point on a track;
the parameters include: wind speed v, wind direction theta and track direction angle theta0；
102, calculating to obtain a wind action index omega of a single wind measuring point based on the parameters;
wind action index ω for individual wind measurement points:
ω＝-v·cos(θ-θ0)
the omega value is obtained through calculation, a positive value indicates that the wind acting on the track is downwind, and a negative value indicates that the wind acting on the track is upwind;
the track direction angle theta0This is the angle between the direction of the athlete's sliding on the track and the true north direction.
The wind direction theta refers to an included angle between the incoming wind direction of the track and the true north direction.
103, determining a weight coefficient of a wind action index omega of a wind measuring point;
in the embodiment of the present application, the weighting coefficients of the wind measurement points may be determined in advance through training data, so that in this step, the predetermined weighting coefficients of the wind measurement points may be directly obtained.
The specific process of determining the weighting factor of the wind measuring point through the training data will be described in detail later.
In a step 104, the process is carried out,calculating to obtain the comprehensive wind action index of the track based on the weight coefficient and the wind action index omega
Figure BDA0003520194890000061
In the embodiment of the application, the wind action index omega of three wind measuring points of the set glide-slope terminal point, the midway point and the glide-point is used1、ω2And ω3And its corresponding weight coefficient k1、k2And k3。
Specifically, the comprehensive wind action index of the track may be calculated according to the following formula
Figure BDA0003520194890000062
Figure BDA0003520194890000063
In addition, in view of further improving the accuracy, three or more wind measurement points may be set, and the calculation formula thereof is expressed as:
Figure BDA0003520194890000064
wherein the content of the first and second substances,
Figure BDA0003520194890000065
ωito measure the wind action index, k, of the wind point iiThe weighting coefficient of the wind action index of the wind measuring points is shown, n is the number of the wind measuring points, and i is the number of each wind measuring point.
In the embodiment of the present application, the weighting factor of the wind measurement point is determined by training data, which will be described in detail below.
As shown in fig. 2, it is a flowchart of determining a weight coefficient in the embodiment of the present invention, and includes the following steps:
step 201, a training sample is obtained.
Randomly selecting a set number of anemometric points on a plurality of tracksCollecting multiple groups of training data including wind direction theta and track direction angle theta0Wind speed v and height at the point of windfinding.
A small number of samples may be selected from the training data for the determination of the weight coefficients. In particular, it may be chosen randomly or according to a close range of values of the training data.
Step 202, evaluating the training sample.
The importance weight of the wind action is determined based on the influence of the wind action on the sliding speed of the athlete at different positions during the sliding process on the track.
Step 203, determining a weight coefficient of the wind action index omega of the wind measuring point.
Correspondingly, the embodiment of the application also provides a system for calculating the wind action index of the track of the snow sports event, and as shown in fig. 3, the system is a structural schematic diagram.
In this embodiment, the system includes:
a parameter obtaining module 301, configured to obtain all parameters corresponding to a wind measuring point on a track;
the wind action index calculation module 302 is used for calculating and obtaining a wind action index omega of a single wind measuring point;
a weight coefficient determining module 303, configured to determine a weight coefficient of the wind action index ω;
a comprehensive wind action index calculation module 304, configured to calculate a comprehensive wind action index of the track according to the weight coefficient and the wind action index ω
Figure BDA0003520194890000071
Fig. 4 is a schematic structural diagram of a parameter obtaining module in the embodiment of the present application.
In this embodiment, the parameter obtaining module includes:
an ultrasonic anemometer 401 for measuring wind speed and direction;
the acquisition unit 402 is used for acquiring the wind speed and the wind direction measured by the ultrasonic anemometer 401;
and a transmission unit 403, configured to send the parameter to the wind action index calculation module.
Fig. 5 is a schematic structural diagram of a weight coefficient determining module in the embodiment of the present invention.
In this embodiment, the weight coefficient determining module includes:
a sample obtaining unit 501, configured to obtain a training sample;
the evaluating unit 502 is configured to evaluate the training sample, and determine a weight coefficient of a wind action index ω of a wind measurement point.
In this embodiment, a specific implementation manner of the sample acquiring unit 501 may include: the sample acquisition unit is specifically used for randomly selecting a set number of wind measuring points on the track as training samples;
the sample acquiring unit further includes:
a building subunit for collecting wind direction theta and track direction angle theta of multiple groups of tracks0Building an athlete database by using a plurality of groups of data of wind speed v and height of wind measuring points with random number of a plurality of groups of track;
and the selection subunit is used for randomly selecting the data of the same track from the athlete database to serve as a training sample.
According to the method and the system for calculating the wind action index of the snow sports event racetrack, provided by the embodiment of the invention, the wind action index of each wind measuring point and the weight coefficient of each wind measuring point are obtained through the analysis and judgment of the training samples, so that the comprehensive wind action index of the racetrack is obtained; the method is used for accurately describing the influence of wind power on the athlete in the sliding process on the track, and the starting point position and the platform-out speed of the athlete are linked, so that the decision-making precision of the starting point position is improved, and the training and competition level of the athlete is improved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Moreover, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art will be able to make the description as a whole, and the embodiments may be appropriately combined to form other embodiments as will be apparent to those skilled in the art.

Claims (10)

1. A method for calculating a wind action index of a track of a snow sports event is characterized by comprising the following steps:
acquiring parameters of a wind measuring point on a track;
calculating to obtain a wind action index omega of a single wind measuring point based on the parameters;
determining a weight coefficient of a wind action index omega of a wind measuring point;
calculating to obtain the comprehensive wind action index of the track based on the weight coefficient and the wind action index omega
Figure FDA0003520194880000011
2. The method of claim 1, wherein the parameters comprise: wind speed v, wind direction theta and track direction angle theta0；
Wind action index ω for individual anemometry points:
ω＝-v·cos(θ-θ0)
the omega value is obtained through calculation, wherein a positive value indicates that the wind acting on the track is downwind, and a negative value indicates that the wind acting on the track is upwind;
the track direction angleθ0This is the angle between the direction of the athlete's sliding on the track and the true north direction.
The wind direction theta refers to an included angle between the incoming wind direction of the track and the true north direction.
3. The method of claim 2, wherein the weighting factor for the wind action index ω of the wind-measuring point comprises:
obtaining a training sample;
and evaluating the training sample, and determining the weight coefficient of the wind action index omega of the wind measuring point.
4. A method according to claim 3, wherein the integrated wind action index of the track
Figure FDA0003520194880000012
Figure FDA0003520194880000013
Wherein, ω is1、ω2And ω3Respectively representing the wind action indexes of three wind measuring points of the end point, the midway point and the slip point of the slide-assisting way, k1、k2And k3The weighting coefficients corresponding to the wind action indexes omega of three wind measuring points of the end point, the midway point and the starting point of the slipway are respectively represented.
5. The method of claim 3, wherein the obtaining training samples comprises: randomly selecting a set number of wind measuring points on a track as training samples;
the training sample includes: randomly select the heights of a set number of wind measuring points on the track.
6. The method of claim 3, wherein the obtaining training samples further comprises:
collecting wind directions theta of a plurality of tracks and tracksDirection angle theta0And a plurality of sets of data of wind speed v and height of wind measuring points of random number on a plurality of tracks;
and constructing an athlete training and competition database according to the plurality of groups of data, and randomly selecting the data of the same track from the database as a training sample by using an artificial intelligence technology.
7. A system for calculating a wind exposure index for a snow sports track, comprising:
the parameter acquisition module is used for acquiring all parameters corresponding to the anemometry point on the track;
the wind action index calculation module is used for calculating to obtain a wind action index omega of a single wind measuring point;
the weight coefficient determining module is used for determining the weight coefficient of the wind action index omega;
the comprehensive wind action index calculation module is used for calculating and obtaining the comprehensive wind action index of the track according to the weight coefficient and the wind action index omega
Figure FDA0003520194880000021
8. The system of claim 7, wherein the parameter acquisition module comprises:
the ultrasonic anemometer is arranged at the anemometry point;
the acquisition unit is used for acquiring the wind speed and the wind direction measured by the ultrasonic anemometer;
and the transmission unit is used for transmitting the parameters to the wind action index calculation module.
9. The system of claim 7, wherein the weight coefficient determination module comprises:
the sample acquisition unit is used for acquiring a training sample;
and the evaluation unit is used for evaluating the training sample and determining the weight coefficient of the wind action index omega of the wind measuring point.
10. The system according to claim 9, characterized in that the sample acquisition unit is specifically configured to select a set number of anemometric points at random on the track as training samples;
the sample acquiring unit further includes:
a building subunit for collecting wind direction theta and track direction angle theta of a plurality of tracks0And constructing an athlete database by a plurality of groups of data of wind speed v and height of wind measuring points with random number on a plurality of tracks;
and the selecting subunit is used for randomly selecting the data of the same track from the athlete database as a training sample.
CN202210218156.1A 2022-02-25 2022-02-25 Method and system for calculating wind action index of track of snowy sports project Pending CN114662036A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023159889A1 (en) * 2022-02-25 2023-08-31 国家卫星气象中心(国家空间天气监测预警中心) Method and system for calculating wind effect index of track of snow sports event

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110111420A (en) * 2019-04-12 2019-08-09 东北林业大学 Skifield wind field modeling method
CN110136255A (en) * 2019-04-12 2019-08-16 东北林业大学 A kind of skifield sportsman windage energy consumption appraisal procedure
CN112798007A (en) * 2021-02-06 2021-05-14 黄淮学院 Method for evaluating shared bicycle wind sensation route based on artificial intelligence and big data

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7575433B2 (en) * 2006-01-03 2009-08-18 Spotrend Co., Ltd. Sports skill evaluation system
CN108209902B (en) * 2017-05-25 2020-09-22 深圳市未来健身科技有限公司 Athlete competitive state evaluation method and system
CN114662036A (en) * 2022-02-25 2022-06-24 国家卫星气象中心(国家空间天气监测预警中心) Method and system for calculating wind action index of track of snowy sports project

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110111420A (en) * 2019-04-12 2019-08-09 东北林业大学 Skifield wind field modeling method
CN110136255A (en) * 2019-04-12 2019-08-16 东北林业大学 A kind of skifield sportsman windage energy consumption appraisal procedure
CN112798007A (en) * 2021-02-06 2021-05-14 黄淮学院 Method for evaluating shared bicycle wind sensation route based on artificial intelligence and big data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023159889A1 (en) * 2022-02-25 2023-08-31 国家卫星气象中心(国家空间天气监测预警中心) Method and system for calculating wind effect index of track of snow sports event

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