CN102426399B - Highway crosswind warning method - Google Patents

Highway crosswind warning method Download PDF

Info

Publication number
CN102426399B
CN102426399B CN 201110256373 CN201110256373A CN102426399B CN 102426399 B CN102426399 B CN 102426399B CN 201110256373 CN201110256373 CN 201110256373 CN 201110256373 A CN201110256373 A CN 201110256373A CN 102426399 B CN102426399 B CN 102426399B
Authority
CN
China
Prior art keywords
wind
wind direction
highway
speed
early warning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN 201110256373
Other languages
Chinese (zh)
Other versions
CN102426399A (en
Inventor
段雅楠
袁成松
包云轩
杨沈斌
艾瑜霏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Information Science and Technology
Original Assignee
Nanjing University of Information Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Information Science and Technology filed Critical Nanjing University of Information Science and Technology
Priority to CN 201110256373 priority Critical patent/CN102426399B/en
Publication of CN102426399A publication Critical patent/CN102426399A/en
Application granted granted Critical
Publication of CN102426399B publication Critical patent/CN102426399B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)

Abstract

The invention provides a highway crosswind warning method. There is a highway installed with weather monitoring equipment with a maximum density, a largest quantity and complete functions. A monitoring station can collect meteorological elements, such as visibility, a road-surface temperature, an air temperature, a humidity, an air pressure, a wind direction, a wind speed, rainfall and the like. In the invention, observation data of Shanghai-Nanjing expressway AWM is used and according to service necessities, an average wind speed, the largest wind speed, a wind direction frequency and a frequency rose diagram of the 26 weather stations in a specified period. And according to the direction of the highway where an observation station is located, a site crosswind range is calculated and a crosswind warning diagram is generated. In the 26 stations, single station display can be performed or multiple station display can be performed. An average wind state in the specified period can be displayed and wind change can be dynamically displayed in the period (a system flow is showed in graph 9). The method can be used to provide a reference index for a meteorological decision-making service, such as strong wind forecast warning and the like.

Description

Highway crosswind warning method
Technical field
The present invention relates to a kind of highway crosswind warning method, belong to meteorological field.
Background technology
The transportation of current China is in the high speed development stage, along with surging and the lifting of Vehicle Speed of volume of transport, safety guarantee in communications and transportation is had higher requirement.Communications and transportation belongs to the extremely sensitive industry of weather environment.Thick fog, strong wind etc. are the major weather disaster that affects China Transportation Industry.Shanghai-Nanjing Expressway is from the east of Shanghai, and to Nanjing, system-wide is in the southern area of Jiangsu Province of economic height development, belongs to monsoon humid region, subtropics.The middle eastern section landform of highway is the Plain, and many networks of waterways, west section are the hills, and underlying surface and low layer water in air vapour are abundant, annual from the Beginning of summer Autumnal Equinox to next year thick fog multiple, have a strong impact on the smooth and easy and traffic safety of road.The wind data processing system can show the wind direction situation of timing statistics and the development and change of beam wind, as the reference of highway beam wind, dense fog early-warning and predicting.
Shanghai and Nanjing high speed AWMS weather monitoring system wind rose is introduced
Wind rose is according to a certain area each wind direction of average statistics and the percent value of wind speed for many years, and draws by a certain percentage.General multiplex eight or 16 compass azimuths represent.360 ° of orientation on compass are divided into 16 lattice according to every 22.5 ° of one lattice, each wind direction of Real-time Collection is counted on these 16 directions.Represented wind direction on rose diagram, refer to wind come to, namely blow to from the outside the wind direction of measuring point.Wind rose is divided into four kinds: wind direction frequency rose diagram, wind direction frequency rose diagram, maximum wind velocity rose diagram, mean wind speed rose diagram.Wind direction frequency rose diagram is the number of times that occurs of various wind directions (having counted on 16 wind directions) within a certain period of time.The number of times that occurs take each wind direction is as the polar coordinates radius, corresponding wind direction be polar angle at the polar coordinates described point, then the point with each adjacent direction couples together with straight line, plots a form just like the closure fold line of rose.It is exactly wind direction frequency rose diagram.Same method respectively take frequency, maximum wind velocity, mean wind speed as polar coordinates radius, wind direction is polar angle, is exactly frequency, maximum wind velocity, mean wind speed rose diagram.
Wind rose is the favorable method that the long-time section of research wind speed and direction distributes.It is by the rule of a regional wind direction and wind velocity of statistics, and the distribution trend of predict future wind direction and wind velocity plays a significant role in all social production departments that need to consider that wind-resources distributes.Such as: the building plans in commercial production, environmental protection, wind-power electricity generation etc. much can be brought into play very important effect in fields.
Find according to current research, Shanghai and Nanjing high speed dense fog genesis and specific time period wind direction, wind speed are in close relations, and have certain regularity.For dissimilar mist, wind action is also different.For radiation fog, preferably in situation, suitable wind speed is the factor that radiation fog generates at the ground layer damp condition.Wind speed is excessive makes the sinuous flow in atmosphere strengthen, and sinuous flow mixings bed thickness causes the surface layer cooling slowly, and steam is uploaded in a large number, makes low-level inversion destruction or away from ground.Form on a certain height, be unfavorable for the production of mist; Wind speed is too small can not the vapor transfer of surface air to aerial, form certain thickness mist; Suitable wind speed both had been conducive to steam to aerial conveying, was unlikely to again to make vertical exchange strong, thereby was beneficial to the generation of mist.(2006-2009 Shanghai-Nanjing Expressway Dou Zhuan station data) according to statistics, the distribution that front 2 hours wind directions occur radiation fog is mainly at east by north wind, also there is part to be west wind, along with approaching of dense fog, the increased frequency that wind to the west occurs, when radiation fog occurs, wind to the west and east wind occurrence number approach.When the radiation fog generation occured to dense fog in front 2 hours, wind speed is 0-3m/s, and during end, wind speed generally strengthens, and when this dissipates with radiation fog, surface temperature rising air turbulence strengthens relevant.Front 2 hours wind directions occur advection fog is mainly east wind and west wind, occurs front 1 hour wind direction take east wind as main, and the west wind number of times reduces, and wind direction is just opposite when occuring, and take west wind as main, during dissipation, front 2 hours of wind direction and generation are similar.The generation that advection fog needs needs certain wind-force, and wind-force is too small can't cause advection, and wind-force is excessive dispels the mist source.Add up 2006-2009 years 27 times advection fog processes and find, front 2 hours wind speed occur at advection fog and be 1-3m/s, occurs having 19 mists time wind speed to reduce in front 1 hour, 8 times wind speed increases, and advection fog before wind speed and 1h variation is not quite when occurring.This explanation, under suitable circumfluence background and mist source condition, after wind speed marked change 1h, dense fog may form, and when advection fog finishes, wind-force significantly strengthens.Analyze and find, frontal fog front 2 hours wind directions occur take east wind, wind to the west as main; When front 1 hour and mist occurring and occuring, wind vector is larger, and it is main occurring becoming west wind, east by north and south by east in front 1 hour; There is 50% frontal fog wind direction to become southwester during generation; During end, wind direction is again take by east and west wind as main.Wind speed before and after occuring from frontal fog, the wind speed that front 2 hours frontal fogs when occuring occur is all little than advection fog and radiation fog, maintain 0-2m/s, and 12 frontal fogs are arranged from occuring front 1 hour when occuring, wind speed approaches zero, this be also the therefore former of prefrontal air contamination build-up and when finishing wind speed increase rapidly.
The highway dense fog occurs with wind vector, relation is arranged, and adopts wind rose monitoring wind condition to change the reference that can be used as the dense fog forecast.
Summary of the invention
The purpose of this invention is to provide a kind of highway crosswind warning method, the method is take expressway weather wind data as the basis, provide accurately, reliably, wind direction monitoring timely and beam wind early warning information, department provides early warning information accurately for expressway weather.
The objective of the invention is to realize by following measures:
A kind of highway crosswind warning method, the method comprises the following steps:
1) read the meteorological measuring of appointment, be saved to array X array and Y array; The X array keeps numerical information, and the Y array keeps text message;
2) data class of judgement user appointment namely judges wind speed type (judgement is 2 minutes mean wind speeds, 10 minutes mean wind speeds, or instantaneous wind direction and wind velocity);
3) in X and Y array, extract corresponding data, the wind direction of judgement numerical value representative; The air speed data of sorting out thereafter arrives wind direction array corresponding to these data, obtains 16 one dimension wind speed arrays;
4) add up each wind speed array length, obtain the wind direction frequency, 16 wind direction frequencies are saved as one-dimension array;
5) according to formula: certain wind direction frequency=certain wind wind direction frequency/all wind direction frequencies accumulative total and, draw wind direction frequency, 16 wind direction frequencies save as one-dimension array;
6) travel through the wind speed array of each wind direction, use max function searching maximum wind velocity wherein, 16 maximum wind velocities save as one-dimension array;
7) add up the mean wind speed of each wind direction, that is: mean wind speed=wind speed accumulative total and/the wind direction frequency, 16 mean wind speeds save as one-dimension array;
8) number of times that occurs take each wind direction is as the polar coordinates radius, corresponding wind direction be polar angle at the polar coordinates described point, then the point with each adjacent direction couples together with straight line, plots a form just like the closure fold line of rose gets wind direction frequency rose diagram; Same method take frequency, maximum wind velocity, mean wind speed as polar coordinates radius, wind direction is polar angle, obtains frequency, maximum wind velocity, mean wind speed rose diagram respectively;
9) with the early warning of early warning figure mode, prewarning area identifies with designated color; Set beam wind early warning air speed value V, actual wind speed represents with v, if v〉V, greater than part be loaded in the beam wind early warning range of wind rose, represent with the early warning color c of setting.
Wherein, the beam wind scope definition is: moving towards perpendicular line with highway is axle, and vertical 90 ° of scopes are namely moved towards with highway in each 45 ° of left and right, and the highway left and right sides is identical, adds up to totally 180 °; The beam wind scope is on wind rose, namely with the polar angle Range Representation; The radius value of beam wind scope is the early warning air speed value.The zone that angular range and radius were surrounded and wind speed rose diagram Overlapping display so that the beam wind early warning is determined are beam wind early warning figure.
Wherein, a plurality of ranks of described beam wind early warning air speed value definition.
Wherein, 5 ranks of described beam wind early warning air speed value definition are respectively V 1V 2V 3V 4V 5.And V 1<V 2<V 3<V 4<V 5, the early warning color of setting is c1, c2, c3, c4, c5; Be specially: wind speed is at V 1And V 2Between part, be shown as the c1 color, wind speed is at V 2And V 3Between part, be shown as the c2 color, by that analogy, greater than V 5And less than the part of maximum wind velocity in wind rose, be shown as the c5 color.
Wherein, the angle of 16 wind directions in described wind rose is 0 °~360 °, every wind direction of 22.5 ° of marks.
The present invention has following advantage:
Highway crosswind warning method of the present invention, the method utilize high-speed transit meteorological wind data, to the strong wind early-warning and predicting, provide accurately, reliably, the information such as wind direction monitoring timely, beam wind early warning, forecast, department provides reference frame for point duty.
Because object has unique stability with respect to process, make the portability of system improve.The native system specific aim is processed AWM wind direction and wind velocity observational data.System can according to service needed, generate interior 26 the weather station mean wind speeds of set period, maximum wind velocity, wind direction frequency, frequency rose diagram.According to place, research station highway trend, calculate the beam wind scope again, draw beam wind early warning figure.Due to the generation of highway dense fog, in close relations with meteorological elements such as wind speed, relative humidity.The weather scientist can with reference to wind rose, in conjunction with the real-time monitored data of relative humidity, draw certain highway dense fog forecast conclusion.Simultaneously, system dynamically display time interval wind direction and wind velocity changes.
Be conducive in time find to have the meteorological synoptic process information of some key character, for strong wind early-warning and predicting, strick precaution decision-making provide evidence, as supplementary, native system by provide accurately, reliably, wind direction monitoring timely, beam wind early warning, forecast information, department provides decision-making foundation for point duty, for society provides the traffic weather information on services.On reducing traffic hazard, reducing economic benefit and comprehensive social benefit performance certain effect that traffic is protected expense, the rational deployment main line of communication, the impact of minimizing burst fire-disaster, improved traffic quality, operation enterprise.For prediction data bases is established in expressway weather guarantee and decision-making management.
The present invention can process the per minute observation data that Shanghai and Nanjing high speed AWMS system obtains, and draws wind rose.This figure has wind frequency, the wind speed information in the selected period, shows simultaneously the beam wind early warning information.The monitoring of highway wind condition is replenished and improved to these information, intuitively embodies wind direction and wind velocity and change, and is beneficial to and makes strong wind, beam wind forecasting and warning.Strong wind visibility variation, the side direction wind such as overturns on the main manifestations that affects of driving vehicle on high-grade highway for increasing car resistance, dust storm or blowing snow.The vehicular sideview of for example running at high speed is subject to the beam wind effect, if when wind-force is stronger, especially in " air port " highway section, can makes vehicle depart from traffic route and bring out traffic hazard, to the harm of high case, two case automobiles more so.The windy rocky of husky district is also the factor that affect traffic safety, is mainly reflected in that the roadbed of eroding, sand bury, quicksand is piled up, migrating dune is set out on a journey, sand and dust fill the air (sandstorm) etc.The high wind bad road side facility that blows down is fallen on the road, also can cause traffic hazard.The impact of wind on means of transportation, especially more remarkable to the flexible structure such as high, large, thin, long.Highway high wind, beam wind monitoring, forecast, early warning be at the support vehicles driving safety, highway safety facility important role.
Description of drawings
Fig. 1 is the raw data sectional drawing.
Fig. 2 is X array partial data sectional drawing.
Fig. 3 is Y array partial data sectional drawing.
Fig. 4 is beam wind early warning range schematic diagram.
Fig. 5 is highway inclination angle schematic diagram one.
Fig. 6 is highway inclination angle schematic diagram two.
Fig. 7 is that early warning range is determined schematic diagram.
Fig. 8 is early warning figure display effect.
Fig. 9 system framework figure.
Figure 10 mean wind speed rose diagram, early warning figure.
Figure 11 maximum wind velocity rose diagram, early warning figure.
Figure 12 wind direction frequency rose diagram.
Figure 13 wind direction frequency rose diagram.
Embodiment
Below in conjunction with accompanying drawing, process of the present invention is further described:
1. data acquisition
What below use is the observational data of Shanghai and Nanjing high speed AWM.This meteorological measuring is the Excel form, and filename adopts the form of " station number+time ".Here, read in certain website, or the data file of reading in simultaneously 26 stations and reading in which year, specified by the user.Website is selected, and system provides with drop-down tabular form, and the user selects some websites, triggers and preserves module; Time has dual mode to determine: 1. pushed away before the time from current system comprise 10 minutes, 30 minutes, 1 hour, 1.5 hours, 2 hours, 3 hours or 6 hours.2. determine successively the statistics beginning and ending time from drop-down list.Time interval is accurate to " dividing ".For example: zero-time " 0:00:00 on January 1st, 2009 ", termination time " 0:30:00 on January 1st, 2009 ".Above operation, system preserves the user and chooses array variable.For example: station number is 01, and the time is 2009, and file is by name: " 101-2009.xls ", the raw data sectional drawing as shown in Figure 1.System I/O calls the xlsread function, reads in observation data, is kept at the appointment array.Specify X and Y array, the X array keeps numerical information (as shown in Figure 2), and the Y data keep text message (as shown in Figure 3).
2. data statistics:
2.1 determine the statistics type
Reading out data time interval and type are selected by the user.Data type is divided into: 2 minutes mean wind direction wind speed, 10 minutes mean wind direction wind speed, instantaneous wind direction and wind velocity.Determine that wherein a kind of is reading data.The specified data operation adopts the radio button user control to complete, and the radio button that the user clicks certain wind direction data type gets final product.
The system stores initial sum termination time is character string, in two character strings of Y array coupling.Coupling finishes, and obtains the initial sum termination time in the line number of Y array, then is mapped to the X array, can determine the time interval of statistics.System obtains data type, namely obtains X array column vector position.Thus, determine the ranks coordinate of statistics fully.
2.2 processing wind direction
System carries out statistics program: sort out the wind speed of each wind direction to one-dimension array corresponding to this wind direction.Here wind direction is observed convention by the world: take north wind as 0 °, east wind is 90 °, turns clockwise.16 corresponding 16 angles of wind direction.The wind direction of data file is accurate to 1 °, just needs here to process to record wind direction to the statistics wind direction.For example: N=0 °, NNE=22.5 °, recording wind direction is 11 °.Be partial to 0 °, be treated to north wind here for 11 °.Other situation by that analogy.
2.3 classification wind speed
According to top method, systemic circulation traversal 16 times is identified a wind direction at every turn.After finding the wind direction of coupling, extract the air speed data on right side, be saved in corresponding wind direction array.
2.4 statistics wind speed
Add up each wind speed array length, can obtain the wind direction frequency.16 wind direction frequencies save as one-dimension array.According to formula: certain wind direction frequency=certain wind wind direction frequency/all wind direction frequencies accumulative totals and, draw wind direction frequency.16 wind direction frequencies save as one-dimension array.Travel through the wind speed array of each wind direction, use max function searching maximum wind velocity wherein.16 maximum wind velocities save as one-dimension array.Add up the mean wind speed of each wind direction, that is: mean wind speed=wind speed accumulative total and/the wind direction frequency.16 mean wind speeds save as one-dimension array.
3. draw and arrange
3.1 the drawing kind is selected
The drawing kind comprises 4 kinds, wind direction frequency rose diagram, wind direction frequency rose diagram, maximum wind velocity rose diagram, mean wind speed rose diagram.Wind direction frequency rose diagram is the number of times that occurs of various wind directions (having counted on 16 wind directions) within a certain period of time.The number of times that occurs take each wind direction is as the polar coordinates radius, corresponding wind direction be polar angle at the polar coordinates described point, then each is led mutually the point of direction to couple together with straight line, plot a form just like the closure fold line of rose.It is exactly wind direction frequency rose diagram.Same method respectively take frequency, maximum wind velocity, mean wind speed as polar coordinates radius, wind direction is polar angle, is exactly frequency, maximum wind velocity, mean wind speed rose diagram.The user selects wherein a kind of drawing kind, adopts radio button user control mode to select.
3.2 the drawing pattern is selected
Comprise that wind rose is linear, line color, data point identifier, rose diagram Fill Color.Can set in system scope as required.The user selects to adopt the drop-down list form to select the drawing pattern.On the control right side, display window is arranged, can see and look into display effect, adjust the user and arrange.Rose diagram the fill style is set to 20% transparency and shows, convenient reference coordinate numerical value with image master compares, and also convenient and beam wind early warning figure shows simultaneously, is beneficial to the staff and sentences figure and reference visual and clearly.
3.3 draw
The drawing trigger mechanism is that left button is clicked drawing area, and user so operation begins to call drawing function.System passes to drawing function with drawing kind, the drawing pattern of last preservation as parameter.The user selects different drawing kinds, and program circuit just turns to different rose diagram drafting modules.At different wind speed rose diagram drafting modules, the polar coordinates polar angle is fixed value, i.e. the angle of 16 wind directions.The angle of 16 wind directions is 0 °~360 °, every wind direction of 22.5 ° of marks.Polar coordinates radius selected value and drawing kind are consistent.Draw wind direction frequency rose diagram, radius is frequency; Draw the wind direction frequency rose diagram, radius is frequency; Draw the maximum wind velocity rose diagram, radius is maximum wind velocity; Draw the mean wind speed rose diagram, radius is mean wind speed.
Beam wind early warning figure generates:
The beam wind scope here is defined as: moving towards perpendicular line with highway is axle, each 45 ° of left and right, i.e. vertical highway trend
90°。As shown in Figure 4, the shadow region is depicted as the beam wind scope.
1. define early warning air speed value and color
If current rose diagram is wind speed rose diagram (mean wind speed rose diagram, maximum wind velocity rose diagram), user's definable early warning air speed value can define at most 5 simultaneously.Here be made as V 1V 2V 3V 4V 5.And V 1<V 2<V 3<V 4<V 5., the early warning color of setting is c1, c2, and c3, c4, if c5 is V here〉V 1, greater than part beam wind scope represent with the early warning color c1 that sets.If V〉V 2, greater than part beam wind scope represent with the early warning color c2 that sets.Other situation by that analogy.User's definition is arrived setting with variable save.Facilitate down-stream to call.
2. get and decide the highway trend
The highway trend is generally fixed value, and the trend here refers to the direction of the local highway section tangent line at place, environment weather monitoring station.If website has change, can reset trend in system.The angle of trend is no more than with highway and X-axis
The angle of cut of 180 ° represents, i.e. the pitch angle.Default value represents with radian, and for example: 90 ° is pi/2=1.57.
Fig. 5, Fig. 6 are two kinds of highway inclination angle schematic diagram.
3. computing and plotting data
Determine the maximum frequency of maximum wind velocity and the frequency rose diagram of wind speed rose diagram.Travel through all polar coordinates radiuses with the max function, determine the radius maximal value.Radius is wind speed or the frequency of 16 wind directions.If maximum wind velocity is less than V 1, do not show prewarning area.If maximum wind velocity or frequency are greater than V 1, less than V 2, the one-level prewarning area is greater than V 11Zone less than V.Other situation by that analogy.
According to the highway inclination angle, system-computed highway beam wind angular range.The radius place circumference intersection point of the boundary line of angular range and beam wind early warning wind speed or frequency is as four frontier points of prewarning area.
4. draw
According to four frontier points, with the early warning boundary value, determine the early warning fill area.Draw to fill and adopt 60% transparency, it can be superimposed upon on wind rose, be convenient to distinguish and show.Fig. 7 is that prewarning area is superimposed upon needed four edges boundary line and frontier point on wind rose, and other beam wind early warning range is similar in this, and just frontier point is different with the boundary line.Figure can save as multiple format, comprises ai, bmp, eps, emf, jpg, pcx, pbm, pdf, pgm, png, ppm, pkm etc.Early warning effect after final stack as shown in Figure 8.
Show that setting comprises: period average wind situation, dynamically wind variation of selected period of demonstration are selected in single demonstration of standing, 26 station demonstrations, static demonstrations.26 station demonstrations refer to that single key element multi-site shows simultaneously, because screen size is limited, and minute windows display.The static demonstration refers to selected period average wind situation, i.e. a data mean chart.Dynamically show, refer to show wind direction dynamic change in time.Show that key element comprises mean wind speed rose diagram (as shown in figure 10), maximum wind velocity rose diagram (as shown in figure 11), wind direction frequency rose diagram (as shown in figure 12), wind direction frequency rose diagram (as shown in figure 13).
If select 26 stations to show, can only staticly show average wind situation in statistical time range.If select single station to show, can select static state to show selected period average wind situation, dynamically show that selecting period wind changes dual mode.If selection dynamical fashion, picture will be set adjacent two moving time outs.Also need to set animation quantity in set period.For example, timing statistics is 2 hours, publishes picture if set 2, and first figure shows the statistical time range average wind situation of front 1 hour, 1 hourly average wind regime after second figure shows.Publish picture if set 4, first figure shows halfhour average wind situation before statistical time range, shows the average wind situation of statistical time range half an hour to 1 hour, arranges by that analogy At All Other Times.
Thus, the static beam wind early warning figure of generation, or dynamic change figure can provide wind direction monitoring accurately and reliably and beam wind early-warning and predicting information, and the weather forecast business personnel makes the highway dense fog, beam wind gives the correct time in advance, can be with reference to these information.

Claims (4)

1. highway crosswind warning method, the method comprises the following steps:
1) read the meteorological measuring of appointment, be saved to X array and Y array; The X array keeps numerical information, and the Y array keeps text message;
2) data class of judgement user appointment, namely judge the wind speed type;
3) in X and Y array, extract corresponding data, the wind direction of judgement numerical value representative; The air speed data of sorting out thereafter arrives wind direction array corresponding to these data, obtains 16 one dimension wind speed arrays;
4) add up each wind speed array length, obtain the wind direction frequency, 16 wind direction frequencies are saved as one-dimension array;
5) according to formula: certain wind direction frequency=certain wind wind direction frequency/all wind direction frequencies accumulative total and, draw wind direction frequency, 16 wind direction frequencies save as one-dimension array;
6) travel through the wind speed array of each wind direction, use max function searching maximum wind velocity wherein, 16 maximum wind velocities save as one-dimension array;
7) add up the mean wind speed of each wind direction, that is: mean wind speed=wind speed accumulative total and/the wind direction frequency, 16 mean wind speeds save as one-dimension array;
8) number of times that occurs take each wind direction is as the polar coordinates radius, corresponding wind direction be polar angle at the polar coordinates described point, then the point with each adjacent direction couples together with straight line, plots a form just like the closure fold line of rose gets wind direction frequency rose diagram; Same method take frequency, maximum wind velocity, mean wind speed as polar coordinates radius, wind direction is polar angle, obtains frequency, maximum wind velocity, mean wind speed rose diagram respectively;
9) with the early warning of early warning figure mode, prewarning area identifies with designated color; Set beam wind early warning air speed value V, actual wind speed represents with v, if v〉V, greater than part be loaded in the beam wind early warning range of wind rose, represent with the early warning color c of setting;
Wherein the beam wind scope definition is: moving towards perpendicular line with highway is axle, and vertical 90 ° of scopes are namely moved towards with highway in each 45 ° of left and right, and the highway left and right sides is identical, adds up to totally 180 °; The beam wind scope is on wind rose, namely with the polar angle Range Representation; The radius value of beam wind scope is the early warning air speed value; The zone that angular range and radius were surrounded and wind speed rose diagram Overlapping display so that the beam wind early warning is determined are beam wind early warning figure.
2. highway crosswind warning method according to claim 1, wherein, a plurality of ranks of described beam wind early warning air speed value definition.
3. highway crosswind warning method according to claim 2, wherein, 5 ranks of described beam wind early warning air speed value definition are respectively V 1V 2V 3V 4V 5.And V 1<V 2<V 3<V 4<V 5, the early warning color of setting is c1, c2, c3, c4, c5; Be specially: wind speed is at V 1And V 2Between part, be shown as the c1 color, wind speed is at V 2And V 3Between part, be shown as the c2 color, by that analogy, greater than V 5And less than the part of maximum wind velocity in wind rose, be shown as the c5 color.
4. highway crosswind warning method according to claim 1, wherein, the angle of 16 wind directions in described wind rose is 0 °~360 °, every wind direction of 22.5 ° of marks.
CN 201110256373 2011-09-01 2011-09-01 Highway crosswind warning method Expired - Fee Related CN102426399B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201110256373 CN102426399B (en) 2011-09-01 2011-09-01 Highway crosswind warning method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201110256373 CN102426399B (en) 2011-09-01 2011-09-01 Highway crosswind warning method

Publications (2)

Publication Number Publication Date
CN102426399A CN102426399A (en) 2012-04-25
CN102426399B true CN102426399B (en) 2013-05-08

Family

ID=45960401

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201110256373 Expired - Fee Related CN102426399B (en) 2011-09-01 2011-09-01 Highway crosswind warning method

Country Status (1)

Country Link
CN (1) CN102426399B (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106228587B (en) * 2016-07-13 2018-10-30 国家海洋信息中心 Ocean wind rose drawing drawing method based on GIS pels
CN110603577A (en) * 2017-05-08 2019-12-20 长谷川香料株式会社 Method for representing image by color and color representation chart
CN107569211A (en) * 2017-08-29 2018-01-12 成都麦田互动娱乐科技有限公司 Multi-element intelligent test control method and system
CN109375285A (en) * 2018-08-20 2019-02-22 泛测(北京)环境科技有限公司 A kind of rose figure production method applied to contamination analysis
CN109584585A (en) * 2018-12-10 2019-04-05 中南大学 Highway based on cloud storage big wind pre-warning method in real time
CN109507755A (en) * 2018-12-18 2019-03-22 安徽四创电子股份有限公司 One kind being based on automatic Weather Station synthesis detection system
CN110361505B (en) * 2019-07-25 2021-06-22 中南大学 Method of train passenger health early warning system in outside air pollution environment
CN111079314B (en) * 2020-01-02 2021-02-09 上海眼控科技股份有限公司 Position selection method and device of fog monitoring equipment, computer equipment and medium
CN111800582B (en) * 2020-07-31 2021-12-07 上海眼控科技股份有限公司 Frontal surface fog detection method and device, computer equipment and readable storage medium
CN112051362B (en) * 2020-09-01 2022-06-24 杭州壹丈科技有限公司 Wind rose pre-judgment pollutant change model
CN112305641B (en) * 2020-10-15 2023-01-20 广州翰南工程技术有限公司 Expressway traffic safety meteorological internet of things monitoring and early warning system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101254789A (en) * 2008-03-05 2008-09-03 中南大学 Railway gale monitoring early warning system and method
JP2009162657A (en) * 2008-01-08 2009-07-23 Railway Technical Res Inst Strong wind monitoring method and strong wind monitoring device
CN101923605A (en) * 2010-08-18 2010-12-22 北京佳讯飞鸿电气股份有限公司 Wind pre-warning method for railway disaster prevention

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009162657A (en) * 2008-01-08 2009-07-23 Railway Technical Res Inst Strong wind monitoring method and strong wind monitoring device
CN101254789A (en) * 2008-03-05 2008-09-03 中南大学 Railway gale monitoring early warning system and method
CN101923605A (en) * 2010-08-18 2010-12-22 北京佳讯飞鸿电气股份有限公司 Wind pre-warning method for railway disaster prevention

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张辉.防灾安全监控系统中的大风监测与预警.《铁道通信信号》.2009,第45卷(第3期),
防灾安全监控系统中的大风监测与预警;张辉;《铁道通信信号》;20090331;第45卷(第3期);50-52 *

Also Published As

Publication number Publication date
CN102426399A (en) 2012-04-25

Similar Documents

Publication Publication Date Title
CN102426399B (en) Highway crosswind warning method
CN107229690B (en) Dynamic High-accuracy map datum processing system and method based on trackside sensor
CN103971523B (en) A kind of mountain road traffic safety dynamic early-warning system
Irvine et al. Characterizing North Atlantic weather patterns for climate‐optimal aircraft routing
CN102819954B (en) Traffic region dynamic map monitoring and predicating system
CN101281142B (en) Method for measuring atmosphere visibility
CN101572019B (en) Radar track fitting and statistical analysis device
CN110083977A (en) Atmospheric turbulence monitoring method based on deep learning
CN111651712B (en) Method and system for evaluating complexity of test scene of intelligent automobile
Wang et al. A cooperative system of GIS and BIM for traffic planning: A high-rise building case study
CN115063978B (en) Bus arrival time prediction method based on digital twins
CN106651025A (en) Traffic situation prediction method and apparatus
CN104794923B (en) The meteorological information display process and device of traffic route
CN109389845A (en) A kind of multifactor integration high speed highway dynamic vehicle speed managing and control system
CN103810854A (en) Intelligent traffic algorithm evaluation method based on manual calibration
Xu et al. Frontal area index: A review of calculation methods and application in the urban environment
CN106875756A (en) A kind of continuously declining near aircraft noise optimization method based on ant group algorithm
CN103823254A (en) Road weather forecast method and system, and road weather forecast display method and system
Liu et al. New generation of smart highway: Framework and insights
Li et al. A review of remotely sensed surface urban heat islands from the fresh perspective of comparisons among different regions (invited review)
CN105631569A (en) Electrical rail traction station monitoring and early warning method and system based on power grid GIS
CN104123671A (en) Weather reference station zoning method
KR102422300B1 (en) Method and system for providing climate information for port selection of urban air mobility
CN115930980A (en) Feasible region prediction and path planning system based on dynamic road weather event
CN114637305B (en) Unmanned aerial vehicle shortest path planning method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130508

Termination date: 20150901

EXPY Termination of patent right or utility model