CN107121297B - System for simulating wind-rain coupling effect and control method - Google Patents
System for simulating wind-rain coupling effect and control method Download PDFInfo
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- CN107121297B CN107121297B CN201710464238.3A CN201710464238A CN107121297B CN 107121297 B CN107121297 B CN 107121297B CN 201710464238 A CN201710464238 A CN 201710464238A CN 107121297 B CN107121297 B CN 107121297B
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Abstract
The invention discloses a system for simulating wind-rain coupling effect and a control method thereof, comprising the following steps: the air blowing system adopts an air blowing device with adjustable air speed, and a lifting device is arranged below the air blowing device; the rain system comprises a rain device provided with a rotatable nozzle, a translation device and a lifting device; the control system adjusts the heights of the blowing device and the rain spraying device according to the heights of different vehicle types fed back by the infrared sensor, controls the rain spraying device to move to a designated area according to the feedback of the wind speed sensor, and adjusts the angle, the wind speed and the like of the nozzle according to the feedback of the rain speed sensor. The system for simulating the coupling effect of wind and rain and the control method thereof can adjust the positions of the blowing system and the rain spraying system, the angles of the nozzles, the wind speed and the like according to the measured data, so that the rainfall and the rain speed at the windshield of an automobile can reach the rainfall and the rain speed to be simulated.
Description
Technical Field
The invention belongs to the technical field of blowing and rain simulation, and particularly relates to a system for simulating a wind and rain coupling effect and a control method.
Background
With the rapid development of Chinese economy, people also put higher demands on automobile safety. When the automobile runs in rainy days, the maintenance of the clear view is particularly important. However, in heavy rain, rainwater may overflow the a pillar and flow onto the side window glass under the action of the windscreen wiper and the vehicle speed, which will affect the visual field of the driver, thereby causing a certain potential safety hazard. Most of the traditional rain systems only simulate the rain conditions of the automobile when the automobile is at rest (without a blowing device) to verify the tightness of the automobile, and some of the traditional rain systems also adopt fixed blowing and rain devices for experiments. The blowing and rain-spraying systems cannot actually measure whether the rain speed can meet the requirement of a simulation experiment, and can not enable the rain speed to reach a target value by adjusting the position and the angle of the blowing and rain-spraying device. Therefore, the blowing and raining system cannot truly simulate the rain speed at the windshield of the automobile when rainfall occurs, and cannot truly judge the influence of the rainfall environment on the visual field of a driver.
Disclosure of Invention
It is an object of the present invention to provide a system for simulating the effects of wind and rain coupling which is capable of simulating the rain conditions at the front windshield of a vehicle during rainfall.
Another object of the present invention is to provide a control method of a system for simulating wind-rain coupling based on BP nerve, which can adjust the positions of a blowing system and a rain system and the angles of nozzles according to actual measurement data, so that the rain rate at the windshield of an automobile reaches the rain rate to be simulated.
The technical scheme provided by the invention is as follows:
a system for simulating weather coupling comprising:
the air blowing system adopts an air blowing device with adjustable air speed, and a lifting device is arranged below the air blowing device;
a rain system, comprising:
a rain device provided with a rotatable nozzle;
the translation device is arranged below the rain spraying device;
a lifting device arranged between the rain device and the translation device;
the control system comprises a wind speed sensor arranged between the blowing device and the rain spraying device and a rain speed sensor arranged in a rain spraying area, and controls the translation device to move the rain spraying device to a designated area according to feedback of the wind speed sensor, adjusts the angle and the wind speed of the nozzle according to feedback of the rain speed sensor, and controls the lifting device to further adjust the height of the rain spraying device.
Preferably, the control system further comprises an infrared sensor for determining the height of the vehicle.
Preferably, the rain speed sensor comprises a first rain speed sensor arranged below the rain device and a second rain speed sensor arranged at the front windshield of the automobile.
Preferably, the system for simulating the weather coupling effect further comprises a water supply and storage device for supplying water to the rain spraying device, and the volume of a water storage tank of the water supply and storage device is the maximum water consumption for meeting two rain spraying tests.
Preferably, the water supply and storage device is provided with a pressure stabilizing device.
Preferably, the blowing device adopts two layers of damping nets to rectify so that the flow field is more uniform.
Preferably, the rain device is provided with a uniformity device, which is arranged below the nozzle.
Preferably, the uniformity device is a dampening net with a frame.
A control method of a system for simulating wind and rain coupling effect regulates and controls the height of a lifting device, the nozzle angle of a rain spraying device, the rainfall and the wind speed based on a BP neural network when a vehicle runs, and comprises the following steps:
step one, collecting the initial raindrop speed V of a raining device at the height H of a vehicle through a sensor according to a sampling period a Rain speed V at windshield b Vehicle speed V c ；
Step two, sequentially setting the initial velocity V of raindrops of the vehicle height H and the raining device a Rain speed V at windshield b Vehicle speed V c Normalizing to determine an input layer vector x= { x of the three-layer BP neural network 1 ,x 2 ,x 3 ,x 4 -a }; wherein x is 1 As the height coefficient of the vehicle, x 2 Is the raindrop initial velocity coefficient, x of the raining device 3 Is the rain speed coefficient at the windshield, x 4 Is the vehicle speed coefficient;
step three, mapping the input layer vector to an intermediate layer, wherein the intermediate layer vector y= { y 1 ,y 2 ,…,y m -a }; m is the number of intermediate layer nodes;
step four, obtaining an output layer vector z= { z 1 ,z 2 ,z 3 ,z 4 -a }; wherein z is 1 For the height adjustment factor, z of the lifting device 2 For adjusting the angle of the nozzle, z, of the shower device 3 For regulating the coefficient of rainfall of the rain-drenching device, z 4 For the wind speed adjusting coefficient of the rain device, make
h i+1 ＝z 1 i h max ，
θ i+1 ＝z 2 i θ max ，
Q i+1 ＝z 3 i Q max ，
v i+1 ＝z 4 i v max ，
Wherein z is 1 i 、z 2 i 、z 3 i 、z 4 i Layer vector references are output for the ith sampling period respectivelyNumber, h max 、θ max 、Q max 、v max Respectively setting the maximum height of the lifting device, the maximum nozzle angle of the rain spraying device, the maximum rainfall of the rain spraying device, the maximum wind speed of the rain spraying device and h i+1 、θ i+1 、Q i+1 、v i+1 The height of the lifting device, the nozzle angle of the rain spraying device, the rainfall of the rain spraying device and the wind speed of the rain spraying device in the (i+1) th sampling period are respectively set; and
in the second step, the vehicle height H and the initial velocity V of raindrops of the rain device a Rain speed V at windshield b Vehicle speed V c The normalization formula is:
wherein x is j To input parameters in layer vectors, X j Respectively measured parameters H, V a 、V b 、V c ，j＝1,2,3,4；X jmax And X jmin Respectively the maximum and minimum of the corresponding measured parameters.
Preferably, in the third step, in the initial operation state, the height of the lifting device, the nozzle angle of the rain spraying device, the rainfall of the rain spraying device, and the wind speed of the rain spraying device satisfy empirical values:
h 0 ＝0.85h max ，
θ 0 ＝0.67θ max ，
Q 0 ＝0.88Q max ，
v 0 ＝0.88v max ，
wherein h is 0 、θ 0 、Q 0 、v 0 The initial height of the lifting device, the initial nozzle angle of the rain spraying device, the initial rainfall of the rain spraying device and the initial wind speed of the rain spraying device are respectively; h is a max 、θ max 、Q max 、v max Respectively the maximum height of the lifting device, the maximum nozzle angle of the rain spraying device, the maximum rainfall of the rain spraying device and the sprayingMaximum wind speed of the rain gear.
The beneficial effects of the invention are as follows: the system and the control method for simulating the coupling effect of wind and rain can simulate the rain condition of the front windshield of an automobile during rainfall, and can adjust the positions of the blowing system and the rain system and the angles of the nozzles according to measured data, so that the rainfall and the rain speed of the windshield of the automobile reach the rainfall and the rain speed to be simulated, thereby truly reflecting the influence of the rainfall environment on the visual field of a driver and providing reference data for the development of the whole automobile.
Drawings
FIG. 1 is a schematic diagram of the system for simulating wind-rain coupling according to the present invention.
Fig. 2 is a schematic diagram of a rain stand structure simulating a wind-rain coupling effect according to the present invention.
FIG. 3 is a schematic diagram of a control process of a system for simulating wind-rain coupling according to the present invention.
Detailed Description
The present invention is described in further detail below with reference to the drawings to enable those skilled in the art to practice the invention by referring to the description.
As shown in fig. 1-3, the present invention provides a system for simulating the coupling of wind and rain, which can truly simulate the amount of rain and the speed of rain at the windshield of an automobile when raining. The system for simulating the wind-rain coupling comprises a blowing system, wherein the blowing system comprises a blowing device 110 and a lifting device 120, and the blowing device 110 is arranged on the lifting device 120.
The blowing device 110 sequentially comprises a bell mouth 111, a protective net 112, a fan power section 113, a transition section 114, a stabilizing section 115, a damping net 116 and a contraction section 117 along the air intake direction. The power system of the blower 110 is composed of two fans connected in parallel. Providing the air inlet end of the blower 110 with a flare 111 improves the flow of air before entering the inlet chamber and reduces the intake losses. The protection net 112 prevents sundries from entering the fan section 113, and has a certain stabilizing effect on gusts and side wind entering the fan power section 113, thereby improving the air inlet flow field of the fan. The fan power section 113 is provided with a variable frequency fan, and the controller can adjust the wind speed by controlling the variable frequency fan. The blower 110 employs two layers of damping mesh 116 to rectify the flow field more uniformly.
The lifting device 120 adopts a scissor type lifting mechanism, and lifts the blowing device to different heights according to different vehicle types, so as to meet the blowing requirement.
The rain system includes a rain device 210, a translation device 220 disposed below the rain device 210, and a lifting device 230 disposed between the rain device 210 and the translation device 220.
The shower device 210 includes a shower frame 211, a nozzle 212, and a uniformity device 213. The shower pipe of the shower rack 211 and the water inlet pipe thereof are steel pipes, and the water inlet pipe of the shower pipe is connected with the water supply pipe of the water supply and storage device 310 by a hose, so that the shower device 210 can conveniently move up and down. Each shower pipe of the shower rack 211 is provided with a flow sensor 214, a pressure sensor 215 and a regulating valve 216 at a side close to the water inlet pipe. The flow sensor 214 and the pressure sensor 215 are used for detecting the flow pressure in the spray pipes, signals are transmitted to a controller of the control system, the controller feeds back the signals to the regulating valve 216, and the regulating valve 216 works, so that the flow and the pressure of each spray pipe are identical, and the uniformity of rain is guaranteed. The plurality of nozzles 212 are detachably mounted on the shower pipe of the shower rack 211, an appropriate nozzle scheme can be selected according to the actual required rainfall, nozzle combinations with different diameters are selected according to the raindrop diameter of the raindrops to be simulated, and the mounting distance between two adjacent nozzles is determined according to the rain coverage area of the nozzles. After the nozzles 212 are installed, all or only a portion of the nozzles may be opened as desired. The angle of the nozzle 212 can be rotated 180 degrees, so that the nozzle 212 can obtain different initial speeds of raindrops. The uniformity device 213 is arranged below the nozzle 212, and consists of a frame and a damping net, raindrops sprayed out of the nozzle 212 are more uniform after passing through the uniformity device 213, and the diameter of the raindrops meets the requirement of the diameter of the raindrops in the real environment.
In an embodiment, according to the selected SA type nozzle, the rain coverage area of a single nozzle is obtained, and under the condition that the uniformity of the rainfall is ensured and no dead angle exists in spraying, the distance between two adjacent nozzles is finally determined to be 850mm.
In another embodiment, a sliding device is also used between the uniformity device 213 and the lifting device 230, and given the rainfall information, the control system transmits the information to the pulleys of the uniformity device 213, and automatically lifts to a proper height from the rain stand 211 and locks. Thereby further adjusting the size and speed of the raindrops.
The translation device 220 is a moving device composed of a guide rail and a sliding block, the guide rail is fixedly arranged on the ground of the test area, and according to the wind speed, the control system controls the translation device 220 to drive the rain device 210 to move to the rain area in the horizontal direction relative to the vehicle body.
And a lifting device 230, which is connected with the lifting device 230 below the uniformity device 213 of the rain device 210, and adopts a hydraulic lifting rod structure, and the control system controls the lifting device 230 to lift to a certain height relative to the vehicle body according to the vehicle type height and the measured rain speed information.
The water supply and storage device 310 is used for supplying water to the rain device 210, the water supply and storage device 310 is composed of a water storage tank 311, a filtering device 312, a variable frequency water pump 313, a pressure stabilizing device and a flow control valve 314, and the volume of the water storage tank 311 of the water supply and storage device 310 is set to meet the maximum water consumption of two rain tests. The variable frequency water pump 313, according to the feedback of the rainfall sensor, the control system controls the variable frequency water pump to adjust the flow. The filter 312 is installed before the variable frequency water pump 313 to prevent the water pump from being damaged by impurities in the water and to block the nozzle. The pressure stabilizing device is arranged between the variable-frequency water pump 313 and the flow control valve 314, and the main function of the pressure stabilizing device is to provide a stable constant-pressure water source for the rain system. The pressure stabilizing device comprises a pressure stabilizing tank 315 and an air compressor 316, and a check valve 317 is arranged in front of the pressure stabilizing tank 315 to prevent water from flowing backwards. The upper part of the pressure stabilizing tank 315 is provided with an interface connected with the air compressor 316, and the air compressor 316 can provide pressure for the pressure stabilizing tank 315 so as to ensure that the water pressure at the outlet of the pressure stabilizing tank 315 is stable. In addition, auxiliary devices such as a pressure release valve and a safety valve are arranged on the surge tank, and a flow sensor 318 and a pressure sensor 319 are arranged on a water supply pipeline of the surge tank 315 to the rain frame 211. The flow control valve 314 regulates the flow and pressure of water in the water supply lines to meet test requirements and then water is supplied to the rain system.
The control system also comprises an infrared sensor, a wind speed sensor and a rain speed sensor. And the controller of the control system controls the lifting device to lift the blowing device to different heights according to the heights of different vehicle types fed back by the infrared sensor. The wind speed sensor 410 is disposed between the blower 110 and the rain device 210, and the controller controls the translation device 220 to move the rain device 210 to a designated area according to feedback of the wind speed sensor 410. The rain sensor includes a rain sensor one 420 disposed below the uniformity device 213 for determining an initial velocity of the simulated raindrops; and a second rain speed sensor 430 arranged at the front windshield of the automobile and used for measuring the rain speed at the windshield. According to the feedback of the first rain sensor 420, the angle of the nozzle 212 is adjusted to change the initial velocity of the raindrops; and further adjusts the height of the rain device 210 and fine-adjusts the wind speed according to the feedback control of the second rain sensor 430.
The implementation takes the control process of the automobile blowing and rain experiment as an example, and further description is made:
firstly, according to the size of rainfall, selecting proper nozzle diameter or combination of nozzles with different diameters, and installing the rain equipment.
And then judging whether the blowing system works according to whether the vehicle is stationary or in the running process of the vehicle in the real environment which is simulated as required.
If the relevant test is carried out when the vehicle is stationary, only the rain system needs to be started. The controller adjusts the height of the rain device according to the height of the vehicle type fed back by the infrared sensor. The rain device is started by inputting the rainfall, the rainfall sensor transmits the actually measured rainfall to the variable-frequency water pump controller, meanwhile, the flow control valve is adjusted according to the information fed back by the flow sensor and the pressure sensor, the rainfall is adjusted to a target value, the flow and the pressure of each spray pipe are ensured to be the same, and the uniformity of the rain is ensured. And the first rain speed sensor feeds information back to the control system, and the controller adjusts the angle of the nozzle to enable the initial speed of the raindrops to reach the target value. And the second rain speed sensor transmits the rain speed at the front windshield to the controller, and the controller further adjusts the height of the rain device to adjust the rain speed to a target value.
If the related test is carried out when the vehicle runs, the rain system and the blowing system are started at the same time. The controller adjusts the height of the blowing device and the rain device according to the height of the vehicle type fed back by the infrared sensor. And starting the rain device, transmitting information of a rainfall sensor to a variable frequency pump controller, adjusting the rainfall to a target value, and adjusting a flow control valve according to information fed back by the flow sensor and the pressure sensor to enable the flow and the pressure in the water supply pipe and the spray pipe to meet experimental requirements. And starting the blowing system, transmitting information to a wind speed controller and a translation device controller of the rain system by a wind speed sensor, adjusting the wind speed to reach a target value by the wind speed controller according to the set vehicle speed, and controlling the translation device to move to a rain area by the translation device controller according to the wind speed. And the first rain speed sensor is arranged below the uniform device, the initial speed of the raindrops is transmitted to the nozzle control system, and the controller adjusts the initial speed of the raindrops by changing the angle of the nozzle. The second rain speed sensor is arranged at the front windshield of the automobile, and is used for transmitting the rain speed at the front windshield of the automobile to the wind speed controller and the lifting device of the rain system, and further adjusting the wind speed and the height of the rain device to enable the rain speed at the front windshield of the automobile to reach the target rain speed.
The invention also provides a control method of the system for simulating the wind and rain coupling effect, which is used for regulating and controlling the height of the lifting device, the nozzle angle of the rain spraying device, the rainfall and the wind speed based on the BP neural network when a vehicle runs, and specifically comprises the following steps:
step one, establishing a BP neural network model;
the BP network system structure adopted by the invention is composed of three layers, the first layer is an input layer, n nodes are used as the first layer, n detection signals representing the working state of equipment are corresponding to the first layer, and the signal parameters are given by a data preprocessing module. The second layer is a hidden layer, and m nodes are determined in an adaptive manner by the training process of the network. The third layer is an output layer, and p nodes are totally determined by the response which is actually required to be output by the system.
The mathematical model of the network is:
input layer vector: x= (x 1 ，x 2 ，…，x n ) T
Intermediate layer vector: y= (y) 1 ,y 2 ,…,y m ) T
Outputting layer vectors: z= (z) 1 ,z 2 ,…,z p ) T
In the present invention, the number of input layer nodes is n=4, and the number of output layer nodes is p=4. The number of hidden layer nodes m is estimated by:
according to the sampling period, the input 4 parameters are x 1 As the height coefficient of the vehicle, x 2 Is the raindrop initial velocity coefficient, x of the raining device 3 Is the rain speed coefficient at the windshield, x 4 Is the vehicle speed coefficient;
since the data acquired by the sensor belong to different physical quantities, the dimensions are different. Therefore, the data needs to be normalized to a number between 0 and 1 before the data is input into the neural network.
Specifically, the vehicle height H is normalized to obtain a vehicle height coefficient x 1 ：
Wherein H is min And H max The minimum height and the maximum height of the vehicle, respectively.
Similarly, the initial velocity V of raindrops to the rain device a After normalization, the raindrop initial velocity coefficient x of the raining device is obtained 2 ：
Wherein V is a_min And V a_max The minimum initial velocity and the maximum initial velocity of the raindrops of the rain device are respectively.
For rain speed V at windshield b Normalized to obtain the rain speed coefficient x at the windshield 3 ：
Wherein V is b_min And V b_max The minimum rain speed at the windshield and the maximum rain speed at the windshield, respectively.
For vehicle speed V c After normalization, a vehicle speed coefficient x is obtained 4 ：
Wherein V is c_min And V c_max The minimum vehicle speed and the maximum vehicle speed, respectively.
The 4 parameters of the output signal are respectively expressed as: z 1 For the height adjustment factor, z of the lifting device 2 For adjusting the angle of the nozzle, z, of the shower device 3 For regulating the coefficient of rainfall of the rain-drenching device, z 4 The wind speed adjusting coefficient of the rain device;
height adjustment coefficient z of lifting device 1 Expressed as the ratio of the height in the next sampling period to the maximum height set in the current sampling period, i.e. in the ith sampling period the acquired height is h i Outputting the height adjustment coefficient z of the ith sampling period through BP neural network 1 i Thereafter, the height h in the (i+1) th sampling period is controlled i+1 Make it satisfy h i+1 ＝z 1 i h max ；
Nozzle angle adjustment coefficient z of rain shower 2 Expressed as the ratio of the nozzle angle of the raining device in the next sampling period to the maximum angle set in the current sampling period, i.e. the collected nozzle angle in the ith sampling periodDegree is theta i Outputting a nozzle angle adjustment coefficient z of the ith sampling period through the BP neural network 2 i Thereafter, the nozzle angle θ in the (i+1) th sampling period is controlled i+1 So that it meets theta i+1 ＝z 2 i θ max ；
Rainfall regulating coefficient z of rain device 3 Expressed as the ratio of the rainfall of the rain device in the next sampling period to the maximum rainfall set in the current sampling period, i.e. in the ith sampling period, the acquired rainfall is Q i The rainfall adjustment coefficient z of the ith sampling period is output through the BP neural network 3 i Then, the rainfall in the (i+1) th sampling period is controlled to be Q i+1 So that it meets Q i+1 ＝z 3 i Q max ；
Wind speed adjusting coefficient z of rain device 4 Expressed as the ratio of the wind speed of the rain device in the next sampling period to the maximum wind speed set in the current sampling period, i.e. in the ith sampling period, the collected wind speed is v i Outputting the wind speed regulating coefficient z of the ith sampling period through BP neural network 4 i Then, the wind speed in the (i+1) th sampling period is controlled to be v i+1 Make it satisfy v i+1 ＝z 4 i v max ；
Step two: training of the BP neural network is performed.
After the BP neural network node model is established, the BP neural network can be trained. Obtaining training samples according to experience data of products, and giving connection weight w between input node i and hidden layer node j ij Connection weight w between hidden layer node j and output layer node k jk Threshold θ of hidden node j j The threshold w of the output layer node k ij 、w jk 、θ j 、θ k Are random numbers between-1 and 1.
In the training process, continuously correcting w ij And w jk And (3) completing the training process of the neural network until the systematic error is less than or equal to the expected error.
As shown in table 1, a set of training samples and the values of the nodes during training are given.
Table 1 training process node values
Step three, acquiring data operation parameters and inputting the data operation parameters into a neural network to obtain a regulation and control coefficient;
the trained artificial neural network is solidified in the chip, so that the hardware circuit has the functions of prediction and intelligent decision making, and intelligent hardware is formed. After the intelligent hardware is powered on and started, the rain spraying system and the blowing system start to operate at the maximum value, the height of the lifting device is the maximum displacement, the nozzle angle is the maximum angle, namely the initial height of the lifting device is h 0 ＝0.85h max The initial nozzle angle of the rain device is theta 0 ＝0.67θ max The initial rainfall of the rain device is Q 0 ＝0.88Q max The initial wind speed of the rain spraying device is v 0 ＝0.88v max ；
At the same time, the initial vehicle height H is measured using the sensor 0 Raindrop initial velocity V of initial rain device a0 Rain speed V at initial windshield b0 Initial vehicle speed V c0 By normalizing the parameters, an initial input vector of the BP neural network is obtained
Obtaining an initial output vector by the operation of the BP neural network>
Step four: the height of the lifting device, the nozzle angle of the rain spraying device, the rainfall and the wind speed; obtaining initial output vector
Then, the height of the lifting device, the nozzle angle of the rain spraying device, the rainfall and the wind speed can be adjusted, so that the height of the lifting device, the nozzle angle of the rain spraying device, the rainfall and the wind speed in the next sampling period are respectively as follows: />
h 1 ＝z 1 0 h max
θ 1 ＝z 2 0 θ max
The height h of the lifting device in the ith sampling period, the nozzle angle theta of the rain spraying device, the rainfall Q of the rain spraying device and the wind speed v of the rain spraying device are obtained through a sensor, and the input vector of the ith sampling period is obtained through normalization
Obtaining an output vector of the ith sampling period through the operation of the BP neural network
Then controlling and adjusting the height of the lifting device, the nozzle angle, the rainfall and the wind speed of the rain spraying device, so that the height of the lifting device, the nozzle angle, the rainfall and the wind speed of the rain spraying device in the (i+1) th sampling period are respectively as follows:
h i+1 ＝z 1 i h max ，
θ i+1 ＝z 2 i θ max ，
Q i+1 ＝z 3 i Q max ，
v i+1 ＝z 4 i v max ，
through the arrangement, the running states of the rain system and the blowing system are monitored in real time through the sensors, and the height of the lifting device, the angle of the nozzle of the rain device, the rainfall and the wind speed are regulated and controlled through the BP neural network algorithm, so that the optimal running state is achieved, and the running efficiency is improved.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (9)
1. A method of controlling a system for simulating a weather coupling, the system for simulating a weather coupling comprising:
the air blowing system adopts an air blowing device with adjustable air speed, and a lifting device is arranged below the air blowing device;
a rain system, comprising:
a rain device provided with a rotatable nozzle;
the translation device is arranged below the rain spraying device;
a lifting device arranged between the rain device and the translation device;
the control system comprises a wind speed sensor arranged between the blowing device and the rain device and a rain speed sensor arranged in a rain area, and is used for controlling the translation device to move the rain device to a designated area according to the feedback of the wind speed sensor, adjusting the angle and the wind speed of the nozzle according to the feedback of the rain speed sensor and controlling the lifting device to further adjust the height of the rain device;
the control method of the system for simulating the wind-rain coupling effect comprises the following steps:
when the vehicle runs, the height of the lifting device, the nozzle angle of the rain spraying device, the rainfall and the wind speed are regulated and controlled based on the BP neural network, and the method comprises the following steps of:
step one, collecting the initial raindrop speed V of a raining device at the height H of a vehicle through a sensor according to a sampling period a Rain speed V at windshield b Vehicle speed V c ；
Step two, sequentially setting the initial velocity V of raindrops of the vehicle height H and the raining device a Rain speed V at windshield b Vehicle speed V c Normalizing to determine an input layer vector x= { x of the three-layer BP neural network 1 ,x 2 ,x 3 ,x 4 -a }; wherein x is 1 As the height coefficient of the vehicle, x 2 Is the raindrop initial velocity coefficient, x of the raining device 3 Is the rain speed coefficient at the windshield, x 4 Is the vehicle speed coefficient;
step three, mapping the input layer vector to an intermediate layer, wherein the intermediate layer vector y= { y 1 ,y 2 ,…,y m -a }; m is the number of intermediate layer nodes;
step four, obtaining an output layer vector z= { z 1 ,z 2 ,z 3 ,z 4 -a }; wherein z is 1 For the height adjustment factor, z of the lifting device 2 For adjusting the angle of the nozzle, z, of the shower device 3 For regulating the coefficient of rainfall of the rain-drenching device, z 4 For the wind speed adjusting coefficient of the rain device, make
h i+1 ＝z 1 i h max ，
θ i+1 ＝z 2 i θ max ，
Q i+1 ＝z 3 i Q max ，
i
v i+1 ＝z 4 v max ，
Wherein z is 1 i 、z 2 i 、z 3 i 、z 4 i Outputting layer vector parameters, h for the ith sampling period respectively max 、θ max 、Q max 、v max Are respectively provided withMaximum height of the fixed lifting device, maximum nozzle angle of the rain spraying device, maximum rainfall of the rain spraying device, maximum wind speed of the rain spraying device, h i+1 、θ i+1 、Q i+1 、v i+1 The height of the lifting device, the nozzle angle of the rain spraying device, the rainfall of the rain spraying device and the wind speed of the rain spraying device in the (i+1) th sampling period are respectively set; and
in the second step, the vehicle height H and the initial velocity V of raindrops of the rain device a Rain speed V at windshield b Vehicle speed V c The normalization formula is:
wherein x is j To input parameters in layer vectors, X j Respectively measured parameters H, V a 、V b 、V c ，j＝1,2,3,4；X jmax And X jmin Respectively the maximum and minimum of the corresponding measured parameters.
2. The method of controlling a system for simulating weather coupling according to claim 1, wherein the control system further comprises an infrared sensor for measuring a height of the vehicle.
3. The method of claim 1, wherein the rain sensor comprises a first rain sensor disposed below the rain device and a second rain sensor disposed at the front windshield.
4. The method of claim 1, further comprising supplying water to the rain device, wherein the water tank volume of the water supply device is a maximum water consumption for satisfying two rain tests.
5. The method of claim 4, wherein the water supply and storage device is followed by a pressure stabilizing device.
6. The method for controlling a system for simulating wind-rain coupling according to claim 1, wherein the blowing device comprises two layers of damping nets for rectifying, so that the flow field is more uniform.
7. The method of controlling a system for simulating weather coupling according to claim 1, wherein the rain device is provided with a uniformity device, the uniformity device being provided below the nozzle.
8. The method of claim 7, wherein the uniformity device is a dampening net with a frame.
9. The method of claim 8, wherein in the third step, in the initial operation state, the height of the lifting device, the nozzle angle of the rain device, the rainfall of the rain device, and the wind speed of the rain device satisfy empirical values:
h 0 ＝0.85h max ，
θ 0 ＝0.67θ max ，
Q 0 ＝0.88Q max ，
v 0 ＝0.88v max ，
wherein h is 0 、θ 0 、Q 0 、v 0 The initial height of the lifting device, the initial nozzle angle of the rain spraying device, the initial rainfall of the rain spraying device and the initial wind speed of the rain spraying device are respectively; h is a max 、θ max 、Q max 、v max The maximum height of the lifting device, the maximum nozzle angle of the rain spraying device, the maximum rainfall of the rain spraying device and the maximum wind speed of the rain spraying device are respectively set.
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| CN107908111B (en) * | 2017-11-27 | 2021-04-16 | 北华大学 | BP neural network-based computer control method of sludge dewatering system |
| CN110108413B (en) * | 2019-06-11 | 2020-07-07 | 爱沵库(苏州)试验设备有限公司 | A shower test device for auto-parts |
| CN110440992A (en) * | 2019-07-31 | 2019-11-12 | 浪潮金融信息技术有限公司 | Atm device terminal wind and rain test method |
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