CN113686591A - Rainfall simulation method for intelligent networked automobile - Google Patents
Rainfall simulation method for intelligent networked automobile Download PDFInfo
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- CN113686591A CN113686591A CN202110973598.2A CN202110973598A CN113686591A CN 113686591 A CN113686591 A CN 113686591A CN 202110973598 A CN202110973598 A CN 202110973598A CN 113686591 A CN113686591 A CN 113686591A
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Abstract
The invention discloses a rainfall simulation method for an intelligent networked automobile, and belongs to the technical field of vehicle testing. The rainfall simulation method comprises the following steps: determining the type of a rainfall simulation device; determining rainfall characteristic parameters of the simulated rainfall; the rainfall characteristic parameters comprise rainfall height h, rainfall uniformity F, rainfall intensity I and rainfall wind speed W; determining model design correlation factors of each rainfall characteristic parameter; obtaining a design model of each rainfall characteristic parameter; and (5) building a rainfall simulation test road. The rainfall simulation method firstly determines the type of the rainfall simulation device and provides a plurality of rainfall characteristic parameters, and when a rainfall simulation test road is established, the corresponding setting parameters of the rainfall simulation device can be easily obtained according to the requirements of vehicles on the rainfall characteristic parameters and by combining the design models of the rainfall characteristic parameters, so that the real rainfall environment can be simulated more reliably.
Description
Technical Field
The invention relates to the technical field of vehicle testing, in particular to a rainfall simulation method for an intelligent networked automobile.
Background
With the rapid development of the intelligent networked automobile, the rigorous simulation test of the automobile in various environments also becomes a necessary program before the mass production of the automobile, so that a test field of the intelligent networked automobile is particularly required to be built; the rainfall simulation test road is an important component of the construction of a test field, and a rainfall simulation device on the rainfall simulation test road is utilized to simulate a rainfall environment so as to detect the traffic safety of vehicles under the rainfall environment condition, the identification condition of vehicle sensing equipment on a target object and the like.
The traditional rainfall simulation device mostly adopts the traditional artificial rainfall form for the agricultural field or spray irrigation, mostly only considers the final drop speed of raindrops, does not relate to the quantitative design of other indexes, and therefore, the rainfall environment cannot be simulated really and reliably, and the test requirement cannot be met.
Therefore, it is desirable to provide a rainfall simulation method for an intelligent networked automobile to solve the above problems.
Disclosure of Invention
The invention aims to provide a rainfall simulation method for an intelligent networked automobile, and aims to solve the problem that in the prior art, only the final descending speed of raindrops is considered, quantitative design of other indexes is not involved, and the rainfall environment cannot be simulated really and reliably.
In order to realize the purpose, the following technical scheme is provided:
a rainfall simulation method for an intelligent networked automobile comprises the following steps:
s1: determining the type of a rainfall simulation device;
s2: determining rainfall characteristic parameters of the simulated rainfall; the rainfall characteristic parameters comprise rainfall height h, rainfall uniformity F, rainfall intensity I and rainfall wind speed W;
s3: determining model design association factors of each rainfall characteristic parameter according to the type of the rainfall simulation device;
s4: obtaining a design model of each rainfall characteristic parameter;
s5: and building a rainfall simulation test road according to the requirements of the vehicle on each rainfall characteristic parameter and by combining the design model of each rainfall characteristic parameter.
Further, in step S1, the rainfall simulation device includes a plurality of water supply pipelines arranged in parallel, and an extending direction of the water supply pipelines is consistent with an extending direction of the rainfall simulation test road; the spray heads on the water supply pipeline are distributed in a matrix form, and the spray heads are downward spraying type spray heads.
Further, in step S3, the model design correlation factor of the rainfall height h includes: vehicle height variation factor k1Angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5；
The model design correlation factor of the rainfall uniformity F comprises: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5Distance variation factor k of adjacent nozzles6Distance variation factor k between adjacent water supply lines7；
The model design correlation factor of rainfall intensity I comprises the following components: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5Water outlet cross section area change factor k8；
The model design correlation factor of the rainfall wind speed W comprises the following steps: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5。
Further, the design model of the rainfall height h is as follows:
wherein h is0Is the vehicle height, h1For the minimum travel height, h, at which all raindrops can fall vertically onto the vehiclemaxThe maximum limit height of the vehicle; theta is the included angle of the rainfall spray head, delta P is the pressure difference of the pipeline, C is the pressure loss coefficient of the pipeline, rho is the density of raindrops, f is the air resistance of raindrops, k is the air resistance coefficient, and m is the mass of raindrops.
Further, the design model of the rainfall uniformity F is:
wherein S is1Area of the pattern formed by the connection of adjacent nozzles, S2For the projection area of the rainfall of the spray head on the ground in the effective rainfall area, S1＝ab，
a is the distance between adjacent spray heads in the same water supply pipeline, and b is the distance between adjacent water supply pipelines.
Further, the rainfall intensity I is designed by the following model:
wherein Q is the flow of the nozzle outlet, and A is the cross-sectional area of the water outlet.
Further, the design model of the rainfall wind speed W is:
wherein ω is the angular velocity of the showerhead.
Further, the rainfall simulation method further comprises the following steps: and (3) according to meteorological information, carrying out statistical analysis on the annual wind direction data of the area where the rainfall simulation test road is located, finding out the dominant wind direction, and taking the dominant wind direction as the construction direction of the rainfall simulation test road.
Furthermore, the rainfall intensity I is realized by controlling the flow of a water supply pipeline through an electromagnetic valve.
Further, the width boundaries of the plurality of water supply lines are located outside the lanes of the rainfall simulation test road and have a design redundancy value of 5% -10%.
Compared with the prior art, the invention has the beneficial effects that:
the invention relates to a rainfall simulation method for an intelligent networked automobile, which comprises the steps of firstly determining the type of a rainfall simulation device, providing a plurality of rainfall characteristic parameters, further obtaining a model design correlation factor of each rainfall characteristic parameter according to the corresponding type of the rainfall simulation device, and being beneficial to finally obtaining an accurate design model of each rainfall characteristic parameter; when a rainfall simulation test road is built, according to the requirements of vehicles on various rainfall characteristic parameters and in combination with the design models of the rainfall characteristic parameters, the corresponding setting parameters of the rainfall simulation device can be easily obtained, so that the built rainfall simulation test road can simulate the real rainfall environment more reliably, the test requirements are met, and the accuracy of vehicle test is improved.
Drawings
FIG. 1 is a flow chart of a rainfall simulation method for an intelligent networked automobile according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a rainfall simulation device according to an embodiment of the present invention;
FIG. 3 is a schematic view of the sprinkler spraying raindrops in the embodiment of the present invention;
FIG. 4 is an exploded view of the velocity of a raindrop falling in an embodiment of the present invention;
FIG. 5 is a schematic diagram of the arrangement of adjacent sprinklers of the rainfall simulation apparatus in the embodiment of the invention.
In the figure:
10. a reservoir; 20. a water pump; 30. a flow regulating valve; 40. a water separator; 50. a filter; 60. an electromagnetic valve; 70. a water supply line; 80. and (4) a spray head.
Detailed Description
The following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the 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.
The embodiment provides a rainfall simulation method for an intelligent networked automobile, which is mainly used for building a rainfall simulation test road in a test field of the intelligent networked automobile to simulate a rainfall environment more truly, and further contributes to detecting the traffic safety of vehicles under the rainfall environment condition, the identification condition of vehicle sensing equipment on a target object and the like. Specifically, the construction of the rainfall simulation test road includes both the design of each setting parameter of the rainfall simulation device arranged on the test road and the design of indexes such as the width and the extending direction of the test road.
Specifically, referring to fig. 1, the rainfall simulation method for the intelligent networked automobile includes the following steps:
s100: determining the type of a rainfall simulation device;
s200: determining rainfall characteristic parameters of the simulated rainfall; the rainfall characteristic parameters comprise rainfall height h, rainfall uniformity F, rainfall intensity I and rainfall wind speed W;
s300: determining model design association factors of each rainfall characteristic parameter according to the type of the rainfall simulation device;
s400: obtaining a design model of each rainfall characteristic parameter;
s500: and building a rainfall simulation test road according to the requirements of the vehicle on each rainfall characteristic parameter and by combining the design model of each rainfall characteristic parameter.
For step S100, because the rainfall simulation devices for simulating rainfall have various forms, and the setting parameters of each rainfall simulation device are different, only if the specific type of the rainfall simulation device is determined, which setting parameters to be adjusted for rainfall simulation and which model design correlation factors related to the rainfall characteristic parameters are determined can be further determined.
Aiming at the step S200, the rainfall simulation test road provided by the embodiment can meet the requirements of a plurality of rainfall characteristic parameters including rainfall height h, rainfall uniformity F, rainfall intensity I and rainfall wind speed W, and compared with the situation that most rainfall simulation in the prior art only considers the final drop speed of raindrops, the rainfall simulation test road can simulate a real rainfall environment, meet the test requirements and improve the accuracy of vehicle test.
In step S300, on the premise that the rainfall simulation device and the rainfall characteristic parameters are determined, the model design correlation factors of the rainfall characteristic parameters of the rainfall simulation can be determined. The rainfall simulation devices have many variables, the variables of different rainfall simulation devices are different, and the variables affecting different rainfall characteristic parameters are also different, so that the model design correlation factors of the rainfall characteristic parameters are obtained in step S300, and accurate establishment of the design models of the subsequent rainfall characteristic parameters is facilitated.
For step S400 and step S500, a design model of each rainfall characteristic parameter is established, and after the model is established, because the vehicle performance of the vehicle under different rainfall characteristic parameters needs to be tested in the rainfall simulation test, specific values of each setting parameter of the rainfall simulation device are obtained according to the requirements of the vehicle on each rainfall characteristic parameter, and then the construction of the rainfall simulation test road is completed.
To sum up, in the rainfall simulation method for the intelligent networked automobile in the embodiment, the type of the rainfall simulation device is determined at first, a plurality of rainfall characteristic parameters are provided, and then the model design correlation factor of each rainfall characteristic parameter is obtained according to the corresponding type of the rainfall simulation device, which is helpful for finally obtaining an accurate design model of each rainfall characteristic parameter; when a rainfall simulation test road is built, according to the requirements of vehicles on various rainfall characteristic parameters and in combination with the design models of the rainfall characteristic parameters, the corresponding setting parameters of the rainfall simulation device can be easily obtained, so that the built rainfall simulation test road can simulate the real rainfall environment more reliably, the test requirements are met, and the accuracy of vehicle test is improved.
Specifically, referring to fig. 2, the embodiment further provides a rainfall simulation device, which includes a plurality of water supply pipelines 70 arranged in parallel, wherein the extending direction of the water supply pipelines 70 is consistent with the extending direction of the rainfall simulation test road; a plurality of spray heads 80 are arranged on each water supply pipeline 70 at intervals, so that the spray heads 80 on the water supply pipelines 70 are distributed in a matrix form. Further, the spray head 80 is a downward spray type spray head to ensure that water is sprayed onto the rainfall simulation test road from top to bottom. Still referring to fig. 2, the rainfall simulation device further includes a water reservoir 10, a water separator 40, a filter 50 and a solenoid valve 60 connected in series at a front end of the water supply, the water reservoir 10 storing water for rainfall, on which a water pump 20 may be provided to provide power to pump the water into a water supply line 70, and a flow regulating valve 30 may also be provided to regulate the total amount of water supply; the water separator 40 is used for separating the water pumped by the water pump 20 into different water supply pipelines 70 according to the requirement, so as to realize uniform spraying; the filter 50 may be disposed behind the water separator 40 for filtering impurities in the water to prevent the spray head 80 from being blocked; the electromagnetic valve 60 is disposed at the front end of each water supply line 70, and is used for controlling the flow rate of the water supply line 70, thereby controlling the rainfall intensity I.
After determining the type of rainfall simulation device as shown in fig. 2, model design correlation factors of the relevant rainfall characteristic parameters can be obtained. Specifically, the model design correlation factor of the rainfall height h includes: vehicle height variation factor k1Angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5(ii) a The model design correlation factor of the rainfall uniformity F comprises: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance andmass ratio change factor k5Distance variation factor k of adjacent nozzles6Distance variation factor k between adjacent water supply lines7(ii) a The model design correlation factor of rainfall intensity I comprises the following components: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5Water outlet cross section area change factor k8(ii) a The model design correlation factor of the rainfall wind speed W comprises the following steps: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5。
Further, in this embodiment, the design model of the rainfall height h is:
wherein h is0Is the vehicle height, h1For the minimum travel height, h, at which all raindrops can fall vertically onto the vehiclemaxThe maximum limit height of the vehicle; theta is the included angle of the rainfall spray head, delta P is the pressure difference of the pipeline, C is the pressure loss coefficient of the pipeline, rho is the density of raindrops, f is the air resistance of raindrops, k is the air resistance coefficient, and m is the mass of raindrops.
The design model of the rainfall height h is obtained by the following method:
referring to fig. 3 and 4, all raindrops in the sprinkler 80 are sprinkled in a fan shape in a vertical plane, and the included angle θ of the rainfall sprinkler is the central angle of the fan shape; the initial velocity u of the raindrops in other ranges than that in which the raindrop at the center is directly and vertically falling0Are inclined, in fig. 4 for the initial velocity u of the raindrop0The decomposition is carried out to obtain a horizontal partial velocity upsilonx(ii) a And once the horizontal partial velocity upsilon of the outermost water dropletsxBecomes 0 which can be vertically dropped to the vehicle, and then other raindrops can be necessarily vertically dropped to the vehicle, whichThe stroke height of the outermost water drop is h1In this embodiment, the number h is1As the minimum stroke height at which all raindrops can fall vertically onto the vehicle. For the outermost water droplet, its horizontal partial velocity vxSatisfy the requirement of
When horizontal partial velocity vxWhen the maximum value of the spray radius of the nozzle is defined as r, the raindrops can only fall vertically when the maximum value of the spray radius of the nozzle falls to 0max，rmaxWhich is also the maximum stroke of the outermost raindrops in the horizontal direction. The raindrops are subjected to air resistance when moving in the horizontal direction until the horizontal component velocity upsilonxBecomes 0, so r of the raindropmaxAnd also satisfy
Wherein the kf/m ratio change factor is k5. Referring to fig. 3, all raindrops can vertically fall to a minimum stroke height h on a vehicle1And also satisfy
If the flow of the nozzle outlet is Q and the cross-sectional area of the water outlet is A, the flow is regulated to be Q
To obtain
In addition, the maximum limit height of the vehicle is hmaxAnd the vehicle height variation factor is k1Thus, h0＝k1hmax(formula five). In the present embodiment, the maximum height h of the vehicle is limitedmaxAnd 6.5 m.
According to the above formula one to formula four, the method can obtain
In the specific implementation process, the first-stage reactor,it is ensured that all raindrops fall vertically onto the vehicle, so that the height h of the rain drops is at least equal to the height h of the vehicle0Minimum stroke height h of all raindrops capable of vertically falling on vehicle1The sum of (1). Therefore, by combining the formula five, a design model of the rainfall height h can be obtained naturally:
that is, all raindrops can be ensured to vertically fall on the vehicle by only setting the height of the spray head 80 of the rainfall simulation device to be at least h.
In one specific embodiment, the maximum limit height h of the vehicle to be testedmaxIs 6.5m, and k1The value of h is 1.05-1.10The value range is 6.825-7.15; then, h is obtained according to other parameter variables and the value of the model design association factor1One value range of (1.15-1.75) and the rainfall height h is satisfied: h is more than or equal to h0+h1Thus take h0Maximum values of 7.15 and h1The maximum value of the sum is 1.75, and h is more than or equal to 7.15+1.75, namely h is more than or equal to 8.9; that is, when the rainfall simulation test road is constructed under the above conditions, the shower head 80 is installed at a height of at least 8.9m so that the rainfall height h that can be realized by the rainfall simulation apparatus is at least 8.9 m.
Further, a design model of the rainfall uniformity F is obtained by the following method:
referring to fig. 5, for the spray heads 80 arranged in a matrix in this embodiment, a is the distance between adjacent spray heads in the same water supply line, and b is the distance between adjacent water supply lines; s1The area of the pattern formed by the connection lines of adjacent nozzles is rectangular, S, because the nozzles 80 are arranged in a matrix pattern, the pattern formed by the connection lines of adjacent nozzles 80 is rectangular1＝ab；S2In order to effectively reduce the projection area of the spray head on the ground in the rainfall area,
then all the rainfall isThe design model of formation F is:
in a specific embodiment, when the rainfall uniformity F is required to be greater than a certain value, values of setting parameters a and b of the rainfall simulation device can be obtained according to other parameter variables and values of model design correlation factors, and rainfall simulation test road construction under the setting parameters is performed.
For the rainfall intensity I, the rainfall is represented by the rainfall volume per unit time and unit area in the embodiment, that is to say
And Q ═ v0A，
Therefore, the rainfall intensity I is designed as follows:
similarly, in a specific embodiment, a value range of the corresponding sprinkler outlet flow rate Q can be obtained according to the requirement of the rainfall intensity I in the rainfall simulation process, so that the setting parameters of the rainfall simulation device can be set correspondingly.
In this embodiment, the sprinkler 80 of the rainfall simulation device is a rotatable sprinkler, where the rotatable sprinkler not only means that the sprinkler 80 can rotate in a horizontal plane to simulate the situation of different wind speeds, and at this time, the angular speed of the sprinkler is set to be ω; it is also shown that the sprinkler 80 can be deflected in a vertical plane to simulate a rainfall environment with different wind conditions.
Further, in this embodiment, the design model of the rainfall wind speed W is:
in a specific embodiment, when the rainfall wind speed W is required to be within a certain value range, the value range of the angular velocity of the sprinkler in the setting parameters of the rainfall simulation device, which is ω, can be obtained according to other parameter variables and the value of the model design correlation factor, so as to provide specific guidance for the construction of the rainfall simulation road.
The rainfall simulation method provided by the embodiment further comprises the following steps: according to meteorological information, carrying out statistical analysis on all-year-round wind direction data of an area where a rainfall simulation test road is located, finding out a dominant wind direction, and taking the dominant wind direction as a construction direction of the rainfall simulation test road; the purpose that sets up like this makes the raindrop descend as far as possible on the road of testing, avoids being perpendicular with the wind direction or be the contained angle the time raindrop blown out to the road outside of testing, can't cover the experimental road of rainfall completely, influences the authenticity and the reliability of rainfall simulation. For example, if the dominant wind direction of the area where the rainfall simulation test road is located is the southeast wind, the extending direction of the rainfall simulation test road is the southeast direction, and if the extending direction of the rainfall simulation test road is the northwest direction, it is obvious that the raindrops sprayed by the spray heads 80 are easily blown out of the road by the southeast wind. Of course, in the implementation, this step is not related to the design model of the rainfall characteristic parameters, and may be placed before step S100, or may be placed after step S500.
Furthermore, the rainfall simulation test road is generally designed to be two lanes wide, in order to ensure that the road is covered with rainfall as much as possible in the rainfall simulation process, the width boundaries of a plurality of water supply pipelines 70 in the rainfall simulation device are located outside the lanes, and the rainfall simulation device has a design redundancy value of 5% -10%; that is, for the water supply lines 70 arranged in parallel, the whole width is slightly larger than the width of the rainfall simulation test road, so as to prevent the edge of the rainfall simulation test road from being covered by raindrops.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A rainfall simulation method for an intelligent networked automobile is characterized by comprising the following steps:
s1: determining the type of a rainfall simulation device;
s2: determining rainfall characteristic parameters of the simulated rainfall; the rainfall characteristic parameters comprise rainfall height h, rainfall uniformity F, rainfall intensity I and rainfall wind speed W;
s3: determining model design association factors of each rainfall characteristic parameter according to the type of the rainfall simulation device;
s4: obtaining a design model of each rainfall characteristic parameter;
s5: and building a rainfall simulation test road according to the requirements of the vehicle on each rainfall characteristic parameter and by combining the design model of each rainfall characteristic parameter.
2. The rainfall simulation method of claim 1, wherein in step S1, the rainfall simulation device comprises a plurality of water supply lines arranged in parallel, and the extension direction of the water supply lines coincides with the extension direction of the rainfall simulation test road; the spray heads on the water supply pipeline are distributed in a matrix form, and the spray heads are downward spraying type spray heads.
3. The rainfall simulation method of claim 2, wherein the model design correlation factor of the rainfall height h in step S3 comprises: vehicle height variation factor k1Angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5；
The model design correlation factor of the rainfall uniformity F comprises: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5Distance variation factor k of adjacent nozzles6Distance variation factor k between adjacent water supply lines7；
The model design correlation factor of rainfall intensity I comprises the following components: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5Water outlet cross section area change factor k8；
The model design correlation factor of the rainfall wind speed W comprises the following steps: angle change factor k of rainfall nozzle included angle2The line pressure variation factor k3Coefficient of variation k of pressure loss of pipeline4Rain drop air resistance and mass ratio change factor k5。
4. A rainfall simulation method according to claim 3, wherein the design model of the rainfall height h is:
wherein h is0Is the vehicle height, h1For the minimum travel height, h, at which all raindrops can fall vertically onto the vehiclemaxThe maximum limit height of the vehicle; theta is the included angle of the rainfall spray head, delta P is the pressure difference of the pipeline, C is the pressure loss coefficient of the pipeline, rho is the density of raindrops, f is the air resistance of raindrops, k is the air resistance coefficient, and m is the mass of raindrops.
5. A rainfall simulation method according to claim 4, wherein the design model for the degree of homogeneity F of rainfall is:
wherein S is1Area of the pattern formed by the connection of adjacent nozzles, S2For the projection area of the rainfall of the spray head on the ground in the effective rainfall area, S1＝ab，
a is the distance between adjacent spray heads in the same water supply pipeline, and b is the distance between adjacent water supply pipelines.
6. A rainfall simulation method according to claim 5, wherein the rainfall intensity I design model is:
wherein Q is the flow of the nozzle outlet, and A is the cross-sectional area of the water outlet.
7. A rainfall simulation method according to claim 4, wherein the design model of the rainfall wind speed W is:
wherein ω is the angular velocity of the showerhead.
8. The rainfall simulation method of claim 1, further comprising the steps of: and (3) according to meteorological information, carrying out statistical analysis on the annual wind direction data of the area where the rainfall simulation test road is located, finding out the dominant wind direction, and taking the dominant wind direction as the construction direction of the rainfall simulation test road.
9. A rainfall simulation method as claimed in claim 2, wherein the intensity of rainfall I is achieved by controlling the flow rate of the water supply line by means of a solenoid valve.
10. The rainfall simulation method of claim 2 wherein the width boundaries of the plurality of water supply lines are located outside the lanes of the rainfall simulation test road with a design redundancy value of 5% to 10%.
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| CN116174190A (en) * | 2023-04-19 | 2023-05-30 | 北京易科立德生态环境科技有限责任公司 | Rainfall simulation device |
| CN117309429A (en) * | 2023-10-10 | 2023-12-29 | 济南辰远科技有限公司 | Rain test detection platform of intelligent network-connected automobile |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5279151A (en) * | 1991-11-12 | 1994-01-18 | Ptrl East, Inc. | Method and system for conducting meso-scale rainfall simulations and collecting runoff |
| JP2011027491A (en) * | 2009-07-23 | 2011-02-10 | Denso Corp | Raindrop detecting device |
| CN104648692A (en) * | 2015-02-06 | 2015-05-27 | 中国商用飞机有限责任公司 | blowing rain system and rainfall simulation method |
| CN105926692A (en) * | 2016-06-27 | 2016-09-07 | 重庆交通大学 | Raining simulation device for slope washing test |
| CN106290127A (en) * | 2016-07-31 | 2017-01-04 | 唐静 | The rainfall simulator of simulation laboratory test is washed away for roadbed side slope |
| CN109283317A (en) * | 2018-10-23 | 2019-01-29 | 昆明理工大学 | Open-pit slope deformation testing device and method under a kind of indoor simulation condition of raining |
| CN208588732U (en) * | 2018-05-14 | 2019-03-08 | 上海交通大学 | A kind of simple rainfall simulator for indoor use |
| CN209639978U (en) * | 2019-04-17 | 2019-11-15 | 一汽解放汽车有限公司 | A kind of commercial-vehicle cab vehicle dynamic is drenched with rain and muddy water splashing simulation system |
| CN110646228A (en) * | 2019-09-30 | 2020-01-03 | 中铁轨道交通装备有限公司 | Rainy day simulation system applied to rail vehicle |
| WO2020209432A1 (en) * | 2019-04-12 | 2020-10-15 | 대한민국(행정안전부 국립재난안전연구원장) | Rainfall simulator calibration system, and rainfall simulator calibration method |
| CN211954687U (en) * | 2020-05-06 | 2020-11-17 | 东风设计研究院有限公司 | Test lane for simulating intelligent internet automobile running in rainy weather environment |
-
2021
- 2021-08-24 CN CN202110973598.2A patent/CN113686591B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5279151A (en) * | 1991-11-12 | 1994-01-18 | Ptrl East, Inc. | Method and system for conducting meso-scale rainfall simulations and collecting runoff |
| JP2011027491A (en) * | 2009-07-23 | 2011-02-10 | Denso Corp | Raindrop detecting device |
| CN104648692A (en) * | 2015-02-06 | 2015-05-27 | 中国商用飞机有限责任公司 | blowing rain system and rainfall simulation method |
| CN105926692A (en) * | 2016-06-27 | 2016-09-07 | 重庆交通大学 | Raining simulation device for slope washing test |
| CN106290127A (en) * | 2016-07-31 | 2017-01-04 | 唐静 | The rainfall simulator of simulation laboratory test is washed away for roadbed side slope |
| CN208588732U (en) * | 2018-05-14 | 2019-03-08 | 上海交通大学 | A kind of simple rainfall simulator for indoor use |
| CN109283317A (en) * | 2018-10-23 | 2019-01-29 | 昆明理工大学 | Open-pit slope deformation testing device and method under a kind of indoor simulation condition of raining |
| WO2020209432A1 (en) * | 2019-04-12 | 2020-10-15 | 대한민국(행정안전부 국립재난안전연구원장) | Rainfall simulator calibration system, and rainfall simulator calibration method |
| CN209639978U (en) * | 2019-04-17 | 2019-11-15 | 一汽解放汽车有限公司 | A kind of commercial-vehicle cab vehicle dynamic is drenched with rain and muddy water splashing simulation system |
| CN110646228A (en) * | 2019-09-30 | 2020-01-03 | 中铁轨道交通装备有限公司 | Rainy day simulation system applied to rail vehicle |
| CN211954687U (en) * | 2020-05-06 | 2020-11-17 | 东风设计研究院有限公司 | Test lane for simulating intelligent internet automobile running in rainy weather environment |
Non-Patent Citations (1)
| Title |
|---|
| 任树梅 等: "人工模拟降雨技术研究综述", 中国农村水利水电, no. 03 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116174190A (en) * | 2023-04-19 | 2023-05-30 | 北京易科立德生态环境科技有限责任公司 | Rainfall simulation device |
| CN117309429A (en) * | 2023-10-10 | 2023-12-29 | 济南辰远科技有限公司 | Rain test detection platform of intelligent network-connected automobile |
| CN117309429B (en) * | 2023-10-10 | 2024-05-17 | 济南辰远科技有限公司 | Rain test detection platform of intelligent network-connected automobile |
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