CN110136255B - Wind resistance and energy consumption evaluation method for skiing field athlete - Google Patents
Wind resistance and energy consumption evaluation method for skiing field athlete Download PDFInfo
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- CN110136255B CN110136255B CN201910295196.4A CN201910295196A CN110136255B CN 110136255 B CN110136255 B CN 110136255B CN 201910295196 A CN201910295196 A CN 201910295196A CN 110136255 B CN110136255 B CN 110136255B
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Abstract
The invention discloses a skifield athlete wind resistance energy consumption assessment method, which comprises the following steps: step one, acquiring three-dimensional space information through a GIS method according to the real topography and topography of a ski field, and establishing a ski field topography model; step two, obtaining the wind resistance coefficient of the typical motion gesture of the athlete through a wind tunnel test; step three, segmenting a skifield track according to typical motion postures of athletes, and arranging the installation positions of skifield wind speed sensors in a track interval by combining the characteristic of a skifield wind field distribution function; step four, a skiing field wind field distribution function is established by combining data acquired by a wind speed sensor; and fifthly, establishing an athlete wind resistance energy consumption evaluation model. The invention carries out geographic information digital modeling on the topography information of the skiing field, provides accurate topography information for the reconstruction of the wind field of the skiing field, and can provide beneficial help for athletes to more scientifically improve the competition result.
Description
Technical Field
The invention belongs to the technical field of sports engineering, and relates to an evaluation method of a wind resistance energy consumption model of an athlete.
Background
Skiing is one of the important game items for winter sports. For a long time, the achievement of China in skiing projects is always in the second echelon internationally, and the skiing event is the winter sport meeting competition project which is most attractive to eyeballs and popular. The wind speed and the wind direction have very remarkable influence on the skiing project, the wind resistance caused by the wind pressure difference between the front and the back of the athlete seriously influences the competition performance of the athlete, the normal running of the sport competition is sometimes hindered when the wind speed is high, and even the competition is delayed or cancelled. Thus, obtaining information about the wind field of a ski field and how to reduce the wind resistance and energy consumption of athletes is a constant concern for sports engineers.
In some sports with larger track topography fluctuation, the skiing field is complex in topography, bad in environment and larger in region of the snowfield, and the athlete is greatly and complexly influenced by wind environment factors in the process of sliding in the snowfield, so that the energy consumption calculation is complex. The wind resistance energy consumption model establishment is a necessary means for analyzing wind resistance energy consumption of the athlete, and can effectively help a coach to guide the athlete to carry out scientific training, and improve the athletic level of the athlete. Currently, there is no such method in the field of sports engineering to analyze the impact of wind on the competition of skiers.
Disclosure of Invention
The invention aims to provide a skifield athlete wind resistance energy consumption assessment method which is used for calculating work doing situations of overcoming air resistance in the process of athlete sliding. The method provides accurate athlete wind resistance energy consumption data for coaches and sports researchers, and provides scientific basis for coaches to program athlete routine training.
The invention aims at realizing the following technical scheme:
a skifield athlete wind resistance energy consumption assessment method comprises the following steps:
step one, acquiring three-dimensional space information through a GIS method according to the real topography and topography of a ski field, and establishing a ski field topography model;
step two, obtaining the wind resistance coefficient of the typical motion gesture of the athlete through a wind tunnel test;
step three, segmenting a skifield track according to typical motion postures of athletes, and arranging the installation positions of skifield wind speed sensors in a track interval by combining the characteristic of a skifield wind field distribution function;
step four, a skiing field wind field distribution function is established by combining data acquired by a wind speed sensor;
and fifthly, establishing an athlete wind resistance energy consumption evaluation model.
Compared with the prior art, the invention has the following advantages:
the invention carries out geographic information digital modeling on the topography information of the skiing field, provides accurate topography information for the reconstruction of the wind field of the skiing field, and can provide beneficial help for athletes to more scientifically improve the competition result.
Drawings
FIG. 1 is a plan view of a ski field racetrack.
Detailed Description
The following description of the present invention is provided with reference to the accompanying drawings, but is not limited to the following description, and any modifications or equivalent substitutions of the present invention should be included in the scope of the present invention without departing from the spirit and scope of the present invention.
The invention provides a skiing field athlete wind resistance energy consumption assessment method based on geographic information three-dimensional terrain modeling and through a CFD technology and a wind tunnel test. The method should be implemented according to the following principles:
step one, acquiring three-dimensional space information through a GIS method according to real landforms and auxiliary facilities of a skiing field, and establishing a three-dimensional landform model of the skiing field by utilizing a high-resolution remote sensing image data processing technology, an oblique photogrammetry technology or a three-dimensional laser scanning technology and the like.
Step two, collecting typical motion postures of the athlete in different terrain areas of the same skiing field track, scanning and modeling the typical motion postures of the athlete by using simulation means such as a computer, ensuring the construction accuracy of the model, and obtaining the windage coefficient of each typical motion posture of the athlete through wind tunnel experiments.
Step three, firstly segmenting a skiing field according to typical motion postures of athletes under different track terrains (the skiing field can be generally divided into 5-6 segments), then carrying out numerical simulation on environmental information of the skiing field and a wind field, extracting spatial distribution characteristics of a wind speed gradient field of the skiing field, taking wind field interference effects generated by the motion of the skiing athlete into consideration, and further providing layout positions of wind speed sensors by combining the wind field distribution function characteristics of the skiing field.
And step four, establishing a ski field wind field distribution function by combining data acquired by the wind speed sensors distributed in the step three, wherein the ski field wind field distribution function is expressed in a linear function form, V=ax+by+cz+d, a, b, c, d is a coefficient of the wind field distribution function, and x, y and z are position coordinates distributed by a certain wind field sensor.
Fifthly, establishing an athlete wind resistance and energy consumption evaluation model, wherein the athlete wind resistance and energy consumption evaluation model takes a linear function formExpression, i.eWherein: n is the total number of track segments, i is a certain segment, S i For the segment distance F i For average resistance exerted by athletes during taxiing, F i ＝0.5ρ·V i 2 ·A·C i ρ is the air density, V i For the average wind speed in the sectional sliding distance, the wind speed can be obtained by weighting and averaging the wind speed according to the section distance by the wind field distribution function of the ski field in the fourth step, C i For the drag coefficient of the athlete in the sectional sliding distance, A is the windward area of the athlete, and then: athlete wind resistance energy consumption formula->
Examples:
as shown in fig. 1, the track is divided into 5 segments, i.e. up-hill S, according to the typical motion profile of the athlete during the snowfield taxiing 1 Uphill gentle slope S 2 Downhill S 3 Downhill gentle slope S 4 Level road S 5 . Taking the competition section S1 as an example, the measured wind speeds measured by 4 sensors distributed in the interval are u 1 、u 2 、u 3 、u 4 The arrangement position coordinates of the wind speed sensor are respectively 1 (x 1 ,y 1 ,z 1 )、2(x 2 ,y 2 ,z 2 )、3(x 3 ,y 3 ,z 3 )、4(x 4 ,y 4 ,z 4 ). The average wind speed measured by the wind speed sensor and the layout coordinates thereof are brought into a distribution function V=ax+by+cz+d of a skiing field wind field, and then the following steps are included:
u 1 ＝ax 1 +by 1 +cz 1 +d；
u 2 ＝ax 2 +by 2 +cz 2 +d；
u 3 ＝ax 3 +by 3 +cz 3 +d；
u 4 ＝ax 4 +by 4 +cz 4 +d。
determining coefficients of linear functionsa. b, c, d, track S 1 Position interval control xE [ x ] 1 ,x 4 ]，y∈[y 1 ,y 4 ]，z∈[z 1 ,z 4 ]Establishing a track S 1 Wind field distribution function V 1 By this method, the distribution function V of the ski field wind field is determined 2 、V 3 、V 4 、V 5 . Then the typical motion attitude resistance coefficient C between different track sections i Average wind speed V i The air density rho and the windward area A of the athlete are brought into an average resistance formula F in the sliding process i ＝0.5ρ·V i 2 ·A·C i Combining the distance S between the racing sections of the athlete i Finally, evaluating the wind resistance and energy consumption condition of the athlete sliding in the skiing field for one week according to the wind resistance and energy consumption formula of the athlete:
Claims (1)
1. a method for evaluating wind resistance and energy consumption of a skier, which is characterized by comprising the following steps:
step one, acquiring three-dimensional space information through a GIS method according to the real topography and topography of a ski field, and establishing a ski field three-dimensional topography model, wherein the specific steps are as follows: according to the real landform and auxiliary facilities of the skiing field, three-dimensional space information is obtained through a GIS method, and a three-dimensional terrain model of the skiing field is established by utilizing a high-resolution remote sensing image data processing technology, an oblique photogrammetry technology or a three-dimensional laser scanning technology;
step two, obtaining the wind resistance coefficient of the typical motion gesture of the athlete through a wind tunnel test, wherein the specific steps are as follows: collecting typical motion postures of athletes in different terrain areas of the same ski field race track, scanning and modeling the typical motion postures of the athletes by using a simulation means, and obtaining wind resistance coefficients of the typical motion postures of the athletes through wind tunnel experiments;
step three, segmenting the skiing field track according to the typical motion gesture of the athleteThe method for arranging the installation position of the ski field wind speed sensor in the track section by combining the characteristic of the wind field distribution function of the ski field comprises the following specific steps: firstly segmenting a skiing field according to typical motion postures of athletes under different track terrains, then carrying out numerical simulation on environmental information of the skiing field and a wind field, extracting spatial distribution characteristics of a wind speed gradient field of the skiing field, considering wind field interference effects generated by the motion of the skiing athlete, further providing layout positions of wind speed sensors by combining with the wind field distribution function characteristics of the skiing field, and obtaining the wind field distribution function of the skiing field，/> 、/>、/>、/>Coefficients of wind field distribution function, +.>、/>、/>Position coordinates laid for a certain wind speed sensor;
step four, a skiing field wind field distribution function is established by combining data acquired by a wind speed sensor;
step five, establishing an athlete wind resistance and energy consumption evaluation model which is expressed in a linear function form, namelyWherein: />For the total number of track segments, +.>For a certain race segment, a step of->For the distance of segmentation>For the average resistance exerted by the athlete during the sliding process, < > on>，/>For air density->For the average wind speed in the sectional sliding distance, the wind speed is obtained by weighting and averaging the wind speed according to the section distance by the wind field distribution function of the ski field in the fourth step, +.>For the resistance coefficient of athletes within the segmental glide distance, < >>The area of the player facing the wind is: athlete wind resistance energy consumption formula->。
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| US20170124155A1 (en) * | 2015-10-28 | 2017-05-04 | Zan Quan Technology Co., Ltd | Sports data matching system and method |
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| CN103095822A (en) * | 2013-01-08 | 2013-05-08 | 华南农业大学 | Wind field wireless sensor network measuring system |
| CN104260724A (en) * | 2014-09-22 | 2015-01-07 | 李治良 | Vehicle intelligent predictive control system and method |
| CN106055788A (en) * | 2016-05-31 | 2016-10-26 | 中国航空工业集团公司西安飞机设计研究所 | Combined modeling method of terrain and wind field |
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