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CN110672294A - System and method for researching following flow field in road environment - Google Patents

System and method for researching following flow field in road environment Download PDF

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CN110672294A
CN110672294A CN201910193673.6A CN201910193673A CN110672294A CN 110672294 A CN110672294 A CN 110672294A CN 201910193673 A CN201910193673 A CN 201910193673A CN 110672294 A CN110672294 A CN 110672294A
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data
anemoscope
road environment
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童哲铭
林启捷
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Zhejiang University ZJU
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    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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Abstract

本发明公开了一种研究道路环境下的跟车流场的系统,包括风速仪、GPS设备、激光雷达与计算机;风速仪、GPS设备、激光雷达可以安装在车辆车顶平缓且不妨碍驾驶的部位;风速仪、GPS设备、激光雷达分别与计算机相连接并将收集到的数据信息反馈给计算机,计算机进行数据的处理与储存。本发明还公开了一种研究道路环境下的跟车流场的方法。本发明可以在实际道路环境下使用,设备简单,而且通过简单的矢量加减计算即可分离出需要的信息。

Figure 201910193673

The invention discloses a system for researching a vehicle following flow field in a road environment, comprising an anemometer, a GPS device, a laser radar and a computer; The anemometer, GPS equipment, and lidar are respectively connected to the computer, and the collected data information is fed back to the computer, and the computer processes and stores the data. The invention also discloses a method for studying the following flow field in the road environment. The present invention can be used in the actual road environment, the equipment is simple, and the required information can be separated through simple vector addition and subtraction calculation.

Figure 201910193673

Description

一种研究道路环境下的跟车流场的系统及方法A system and method for studying vehicle following flow field in road environment

技术领域technical field

本发明具体涉及一种研究道路环境下的跟车流场的系统及方法。The present invention specifically relates to a system and method for researching a vehicle following flow field in a road environment.

背景技术Background technique

一般研究车外流场的技术为实验风洞环境下采用粒子图像测速技术(PIV)进行测试,该技术广泛应用于流场研究,能获得平面上的流场分布。PIV技术的基本原理是通过高速摄影机拍摄两帧相近的粒子图像,通过互相关处理判定两张图片中的粒子关系,根据时间差即可获得粒子的运动速度,进而获得该区域的速度场分布。除PIV技术以外,在风洞内还常使用车身测压设备采集压力数据,通过在车模型上打孔并安装压力传感器,研究不同风速下车辆和表面的压力。PIV技术和车身测压技术都是只能在实验室内进行流场研究的技术,无法在实际道路环境下使用。The general technology for studying the flow field outside the vehicle is to use particle image velocimetry (PIV) to test in the experimental wind tunnel environment. This technology is widely used in flow field research and can obtain the flow field distribution on the plane. The basic principle of PIV technology is to shoot two similar particle images with a high-speed camera, and determine the relationship between particles in the two images through cross-correlation processing. In addition to PIV technology, body pressure measurement equipment is often used in wind tunnels to collect pressure data. By drilling holes on the car model and installing pressure sensors, the pressure of the vehicle and surface under different wind speeds is studied. Both PIV technology and body pressure measurement technology are technologies that can only be used for flow field research in the laboratory, and cannot be used in the actual road environment.

发明内容SUMMARY OF THE INVENTION

为了解决上述存在的问题,本发明提供了一种研究道路环境下的跟车流场的系统及方法。In order to solve the above-mentioned problems, the present invention provides a system and method for studying the following flow field in a road environment.

为了实现上述目的,本发明采用以下技术方案:In order to achieve the above object, the present invention adopts the following technical solutions:

一种研究道路环境下的跟车流场的系统,包括风速仪、GPS设备、激光雷达与计算机;风速仪、GPS设备、激光雷达可以安装在车辆车顶平缓且不妨碍驾驶的部位,计算机安装在车内;风速仪、GPS设备、激光雷达分别与计算机相连接并将收集到的数据信息反馈给计算机,计算机进行数据的处理与储存;A system for studying the vehicle following flow field in the road environment, including anemometer, GPS equipment, lidar and computer; In the car; the anemometer, GPS equipment, and lidar are respectively connected to the computer, and the collected data information is fed back to the computer, and the computer processes and stores the data;

风速仪能够采集包含车辆运动、环境风以及前方车辆带来影响的风速信息,并实时传输到计算机;The anemometer can collect wind speed information including vehicle motion, ambient wind and the influence of the vehicle ahead, and transmit it to the computer in real time;

激光雷达采集测试车辆与前方车辆之间的距离、前方车辆尾部的外形信息并实时传输到计算机;The lidar collects the distance between the test vehicle and the vehicle in front, and the shape information of the rear of the vehicle in front and transmits it to the computer in real time;

GPS设备采集车辆行驶速度和方向信息并实时传输到计算机。GPS equipment collects vehicle speed and direction information and transmits it to the computer in real time.

进一步地,当测试车辆在跟随其他车辆行驶的过程中,所述风速仪采集包含车辆运动、环境风以及前方车辆带来影响的风速信息,并实时传输到计算机;当测试车辆处于前方无车辆的道路环境下,风速仪采集的数据仅包含车辆运动和环境风的风速信息。Further, when the test vehicle is following other vehicles, the anemometer collects wind speed information including vehicle motion, ambient wind and the influence of the vehicle ahead, and transmits it to the computer in real time; In the road environment, the data collected by the anemometer only contains the wind speed information of vehicle motion and ambient wind.

进一步地,风速仪可以为一个或多个。Further, there may be one or more anemometers.

本发明还提供了一种研究道路环境下的跟车流场的方法,该方法采用以上所述的系统,包括以下步骤:The present invention also provides a method for studying the vehicle following flow field in a road environment, the method adopts the system described above, and includes the following steps:

(1)将风速仪、GPS设备、激光雷达安装在一般小型车辆车顶平缓且不妨碍驾驶的部位,记录下安装位置相对车身的各个位置,将计算机安装在车内;风速仪、GPS设备、激光雷达通过数据线连接到车内的计算机;(1) Install the anemometer, GPS equipment, and lidar on the flat roof of a general small vehicle that does not hinder driving, record the positions of the installation position relative to the body, and install the computer in the vehicle; anemometer, GPS equipment, The lidar is connected to the computer in the car through a data cable;

(2)风速仪、GPS设备、激光雷达实时采集数据,并将数据实时传输至计算机;(2) Anemometer, GPS equipment, and lidar collect data in real time, and transmit the data to the computer in real time;

(3)计算机对接收到的数据进行处理与储存,最终得到前方车辆带来影响的矢量,作为研究前方车辆对流场影响的指标。(3) The computer processes and stores the received data, and finally obtains the vector of the influence of the vehicle ahead, which is used as an index to study the influence of the vehicle ahead on the flow field.

本发明的有益效果是:The beneficial effects of the present invention are:

(1)本发明通过在车辆上方安装风速仪、GPS、车载雷达,用于研究不同周边车辆环境下的流场状态。本发明可以在实际道路环境下使用,设备简单,而且通过简单的矢量加减计算即可分离出需要的信息。(1) The present invention is used to study the flow field state in different surrounding vehicle environments by installing anemometer, GPS, and vehicle-mounted radar above the vehicle. The present invention can be used in the actual road environment, the equipment is simple, and the required information can be separated by simple vector addition and subtraction calculation.

(2)和风洞试验中采用车身测压设备采集压力数据的方法对比,本发明研究的是车辆外界流场,测量获得的是速度矢量,使用的风速仪越多,获得的流场信息越多。(2) Compared with the method of collecting pressure data by using the body pressure measuring equipment in the wind tunnel test, the present invention studies the external flow field of the vehicle, and the measurement obtains the velocity vector. The more anemometers are used, the more the flow field information obtained is. many.

附图说明Description of drawings

图1是本发明系统中各个设备安装在测试车辆上的结构示意图。FIG. 1 is a schematic structural diagram of each device in the system of the present invention installed on a test vehicle.

图2是本发明获得前方车辆对流场的影响结果流程示意图。FIG. 2 is a schematic flowchart of the present invention to obtain the result of the influence of the vehicle ahead on the flow field.

图3是计算机处理存储接收的数据的示意图。Figure 3 is a schematic diagram of a computer processing and storing received data.

图4是在前方没有车辆的道路环境下,环境风因素的分离过程示意图。FIG. 4 is a schematic diagram of the separation process of ambient wind factors in a road environment with no vehicles ahead.

图5是在前方有车辆的道路环境下,环境风因素的分离过程示意图。FIG. 5 is a schematic diagram of the separation process of ambient wind factors in a road environment with vehicles ahead.

图6是不同车辆尾部外形对流场影响的示意图。FIG. 6 is a schematic diagram of the influence of different vehicle tail shapes on the flow field.

具体实施方式Detailed ways

以下结合附图对本发明的技术方案做进一步详细说明,应当指出的是,具体实施方式只是对本发明的详细说明,不应视为对本发明的限定。The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings. It should be noted that the specific embodiments are only detailed descriptions of the present invention and should not be regarded as limitations of the present invention.

本发明的一种研究道路环境下的跟车流场的系统,包括风速仪2、GPS设备4、激光雷达3与计算机1;计算机1安装在车内即可,风速仪2、GPS设备4、激光雷达3需要安装在车辆车顶平缓且不妨碍驾驶的部位。A system of the present invention for studying the vehicle following flow field in a road environment includes an anemometer 2, a GPS device 4, a laser radar 3 and a computer 1; the computer 1 can be installed in the vehicle, and the anemometer 2, GPS equipment 4, The lidar 3 needs to be installed on the flat roof of the vehicle and does not hinder driving.

在一些优选的方式中,计算机1安装在车内,为了避免减少振动的损害,可以对其进行固定,并同时采取一定的减震措施。In some preferred manners, the computer 1 is installed in the vehicle, in order to avoid the damage of vibration reduction, it can be fixed, and at the same time, certain shock absorption measures can be taken.

在一些优选的方式中,风速仪2可以为一个或多个。In some preferred manners, there may be one or more anemometers 2 .

在一些优选的方式中,安装一个风速仪2时,风速仪2需要安装在车辆中轴线上最靠近车头前端的平缓区域;In some preferred manners, when installing an anemometer 2, the anemometer 2 needs to be installed in the flat area closest to the front end of the vehicle on the central axis of the vehicle;

激光雷达3需要安装在距离风速仪30cm以上的左后方或右后方,这样可以避免对风速仪产生影响,激光雷达3正面应不受到风速仪2遮挡;The lidar 3 needs to be installed at the left or right rear more than 30cm away from the anemometer, so as to avoid affecting the anemometer, and the front of the lidar 3 should not be blocked by the anemometer 2;

GPS设备4需要安装在风速仪2和激光雷达3的后方,位于车顶中部的位置。The GPS device 4 needs to be installed behind the anemometer 2 and the lidar 3, in the middle of the roof.

在一些优选的方式中,若要安装多个风速仪2时,风速仪2应当与其他设备保持30cm以上的距离,尽量避免风速仪2前方有其他设备遮挡。In some preferred manners, when multiple anemometers 2 are to be installed, the anemometer 2 should be kept at a distance of more than 30 cm from other devices, and try to avoid blocking by other devices in front of the anemometer 2 .

在一些优选的方式中,风速仪2、GPS设备4、激光雷达3的线路可以通过车辆打开的侧窗连接到车内的计算机1。如图1所示,所述风速仪2、GPS设备4、激光雷达3分别与计算机1相连接并将收集到的数据信息反馈给计算机1,计算机1进行数据的处理与储存。In some preferred manners, the lines of the anemometer 2, the GPS device 4, and the lidar 3 can be connected to the computer 1 in the vehicle through the opened side window of the vehicle. As shown in FIG. 1 , the anemometer 2 , the GPS device 4 , and the lidar 3 are respectively connected to the computer 1 and feed back the collected data information to the computer 1 , and the computer 1 processes and stores the data.

在一些优选的方式中,风速仪2能够测量风速大小和方向,并按照一定的数据格式传输到计算机1中。In some preferred manners, the anemometer 2 can measure the magnitude and direction of the wind speed and transmit it to the computer 1 according to a certain data format.

在一些优选的方式中,如图2所示,当测试车辆在跟随其他车辆行驶的过程中,所述风速仪2采集包含车辆运动、环境风以及前方车辆带来影响的风速信息,并实时传输到计算机1;当测试车辆处于前方无车辆的道路环境下,前方可视距离内无车辆或与前方车辆相距100米以上可视为前方无车辆的道路环境,风速仪2采集的数据仅包含车辆运动和环境风的风速信息;风速信息包括风速大小和方向,即风速矢量;In some preferred manners, as shown in FIG. 2 , when the test vehicle is following other vehicles, the anemometer 2 collects wind speed information including vehicle motion, ambient wind and the influence of the vehicle ahead, and transmits it in real time. Go to computer 1; when the test vehicle is in a road environment with no vehicles in front of it, there is no vehicle in the visible distance ahead or a distance of more than 100 meters from the vehicle in front can be regarded as a road environment without vehicles in front, and the data collected by anemometer 2 only includes vehicles. Wind speed information of motion and ambient wind; wind speed information includes wind speed magnitude and direction, namely wind speed vector;

在一些优选的方式中,激光雷达3发射激光束探测并采集测试车辆与前方车辆之间的距离、前方车辆尾部的外形信息并实时传输到计算机1。In some preferred manners, the lidar 3 emits a laser beam to detect and collect the distance between the test vehicle and the vehicle in front, and the shape information of the rear of the vehicle in front, and transmit it to the computer 1 in real time.

在一些优选的方式中,GPS设备4通过卫星定位采集测试车辆行驶速度和方向信息并实时传输到计算机1;测试车辆行驶速度和方向即车速矢量。In some preferred manners, the GPS device 4 collects the driving speed and direction information of the test vehicle through satellite positioning and transmits it to the computer 1 in real time; the driving speed and direction of the test vehicle are the vehicle speed vector.

在一些优选的方式中,计算机1对接收到的数据信息进行处理与储存的过程如图2-3所示,风速仪2采集的风速数据包含风速大小和方向信息,即风速矢量。In some preferred manners, the process of processing and storing the received data information by the computer 1 is shown in Figure 2-3, and the wind speed data collected by the anemometer 2 includes wind speed magnitude and direction information, that is, the wind speed vector.

部分GPS设备4本身具有根据两个点的位置信息对时间求导获得风速矢量的功能,若没有该功能,也可通过计算机1实现,如图3所示,GPS设备4给出的数据是相邻两点的位置数据,计算机1对位置数据进行处理,得到的速度矢量方向与车辆行驶方向相同,即车速矢量,车速矢量包括车辆行驶速度和方向信息。Part of the GPS device 4 itself has the function of obtaining the wind speed vector by derivation of the time according to the position information of the two points. For the position data of two adjacent points, the computer 1 processes the position data, and the obtained speed vector has the same direction as the vehicle's traveling direction, that is, the vehicle speed vector. The vehicle speed vector includes the vehicle speed and direction information.

激光雷达3给出的数据是前方车辆的点云数据,包含各点的位置和距离信息,计算机1从中提取测试车辆与前方车辆的距离数据以及前车尾部的外形尺寸数据。The data given by the lidar 3 is the point cloud data of the vehicle ahead, including the position and distance information of each point. The computer 1 extracts the distance data between the test vehicle and the vehicle ahead and the external dimension data of the rear of the front vehicle.

以上获得的风速矢量、车速矢量和距离数据按照对应时间储存在计算机1中,车辆尾部外形尺寸数据按照检测中对应的前方车辆储存在计算机1中。The wind speed vector, the vehicle speed vector and the distance data obtained above are stored in the computer 1 according to the corresponding time, and the external dimension data of the vehicle tail is stored in the computer 1 according to the front vehicle corresponding to the detection.

在一些优选的方式中,在空旷无前方车辆的道路环境下,环境风因素的分离过程如图4所示,A、B状态分别代表风速仪2坐标系与地面坐标系重合与不重合的情况。车辆在大气环境中会受到环境风因素的影响,当车辆开始行驶时,由于车辆相对大气环境的运动,风速仪2收集的数据同时又包含了车辆运动的信息,即车辆行驶速度和方向信息(表现在数据上即为车速矢量),车速矢量可通过GPS设备采集的数据得出。如图4中步骤①所示,风速矢量与车速矢量为获得的已知信息;将行驶状态下获得的风速矢量加上车速矢量,或者减去与车速矢量大小相等、方向相反的矢量,如图4中步骤②所示,即可获得测试车辆行驶状态下外界的环境风因素(数据上表现为环境风矢量)。由于道路的走向变化,风速仪2坐标系大部分情况下不与地面坐标系重合,这会导致相对地面坐标系相同的环境风矢量在风速仪坐标系下是不同的。由于风速仪坐标系是以测试车辆为基准建立的,因此车速矢量与地面坐标系的夹角即为风速仪坐标系与地面坐标系的夹角,由此可以将风速仪坐标系内的环境风矢量还原至地面坐标系中,如图4中步骤③中B所示。计算机1按一定时间间隔(每1秒或更短的间隔)储存数据,通过计算10-20秒内的平均值作为环境风因素的参考值,作为已知条件,用在前方有车辆的道路环境中;根据平直道路长度和车速不同,可以对计算平均值时所采用的时间进行调整;求一段时间的平均值是为了减小测量过程中,由于车辆震动、行驶方向微调等因素的影响所造成的误差。In some preferred ways, in an open road environment without a vehicle ahead, the separation process of environmental wind factors is shown in Figure 4, and states A and B respectively represent the coincidence and non-coincidence of the coordinate system of the anemometer 2 and the ground coordinate system. . The vehicle will be affected by environmental wind factors in the atmospheric environment. When the vehicle starts to drive, due to the movement of the vehicle relative to the atmospheric environment, the data collected by the anemometer 2 also includes the vehicle movement information, that is, the vehicle speed and direction information ( Expressed in the data is the vehicle speed vector), the vehicle speed vector can be obtained through the data collected by the GPS device. As shown in step ① in Figure 4, the wind speed vector and the vehicle speed vector are known information obtained; add the wind speed vector obtained in the driving state to the vehicle speed vector, or subtract the vector with the same magnitude and opposite direction as the vehicle speed vector, as shown in the figure As shown in step ② in 4, the external environmental wind factor (expressed as an environmental wind vector on the data) under the driving state of the test vehicle can be obtained. Due to the change of the direction of the road, the coordinate system of the anemometer 2 does not coincide with the ground coordinate system in most cases, which will cause the same ambient wind vector relative to the ground coordinate system to be different in the anemometer coordinate system. Since the anemometer coordinate system is based on the test vehicle, the angle between the vehicle speed vector and the ground coordinate system is the angle between the anemometer coordinate system and the ground coordinate system. The vector is restored to the ground coordinate system, as shown in B in step ③ in Figure 4. The computer 1 stores data at certain time intervals (every 1 second or shorter interval), by calculating the average value within 10-20 seconds as a reference value of the environmental wind factor, as a known condition, used in a road environment with vehicles ahead According to the length of the straight road and the speed of the vehicle, the time used to calculate the average value can be adjusted; the average value for a period of time is to reduce the influence of factors such as vehicle vibration and fine-tuning of the driving direction during the measurement process. error caused.

在前方有车辆的道路环境中,三种信息数据的分离过程如图5所示;当测试车辆跟随其他车辆行驶时,风速仪2收集的数据受到前车的影响出现变化,此时风速仪2收集的数据是包含车辆运动和环境风以及前方车辆带来影响的风速信息。如图5步骤①所示,风速矢量与车速矢量为获得的已知信息;将行驶状态下的获得的风速矢量加上车速矢量(或者减去与车速矢量大小相等、方向相反的矢量),如图5步骤②所示,即可获得第一结果矢量,该矢量包含环境风信息以及前方车辆带来影响的风速信息,采用前述的在前方没有车辆的道路环境下所分离出的环境风矢量参考值,用第一结果矢量减去环境风矢量,得到第二结果矢量,如图5步骤③所示,第二结果矢量即包含前方车辆带来影响的矢量,作为研究前方车辆对流场影响的指标。In a road environment with a vehicle ahead, the separation process of the three types of information data is shown in Figure 5; when the test vehicle follows other vehicles, the data collected by the anemometer 2 changes due to the influence of the vehicle in front. At this time, the anemometer 2 The data collected is wind speed information that includes vehicle motion and ambient wind and the influence of the vehicle ahead. As shown in step ① in Figure 5, the wind speed vector and the vehicle speed vector are known information obtained; add the wind speed vector obtained in the driving state to the vehicle speed vector (or subtract the vector with the same magnitude and opposite direction as the vehicle speed vector), such as As shown in step (2) in Fig. 5, the first result vector can be obtained. The vector includes the ambient wind information and the wind speed information influenced by the vehicle ahead. The ambient wind vector referenced above is used in the road environment with no vehicle ahead. value, subtract the ambient wind vector from the first result vector to obtain the second result vector, as shown in step ③ in Figure 5, the second result vector includes the vector that is influenced by the vehicle ahead, and is used to study the influence of the vehicle ahead on the flow field. index.

本发明还提供了一种研究道路环境下的跟车流场的方法,该方法采用以上所述的系统,包括以下步骤:The present invention also provides a method for studying the vehicle following flow field in a road environment, the method adopts the system described above, and includes the following steps:

(1)将风速仪2、GPS设备4、激光雷达3安装在一般小型车辆车顶或其他平缓且不妨碍驾驶的部位,记录下安装位置相对车身的各个位置,将计算机1安装在车内;风速仪2、GPS设备4、激光雷达3通过数据线连接到车内的计算机1;可以安装多个风速仪2;使用的风速仪2越多,获得的流场信息越多。(1) Install the anemometer 2, the GPS device 4, and the lidar 3 on the roof of a general small vehicle or other flat parts that do not hinder driving, record the relative positions of the installation position relative to the vehicle body, and install the computer 1 in the vehicle; The anemometer 2, GPS device 4, and lidar 3 are connected to the computer 1 in the car through a data cable; multiple anemometers 2 can be installed; the more anemometers 2 are used, the more flow field information is obtained.

(2)风速仪2、GPS设备4、激光雷达3实时记录数据,并将数据实时传输至计算机1;(2) Anemometer 2, GPS device 4, LiDAR 3 record data in real time, and transmit the data to computer 1 in real time;

(3)计算机1对接收到的数据进行处理与储存,最终得到前方车辆带来影响的矢量,作为研究前方车辆对流场影响的指标。(3) The computer 1 processes and stores the received data, and finally obtains the vector of the influence of the preceding vehicle, which is used as an index for studying the influence of the preceding vehicle on the flow field.

Claims (4)

1. A system for researching a traffic following flow field in a road environment is characterized by comprising an anemoscope, GPS equipment, a laser radar and a computer; the anemoscope, the GPS equipment and the laser radar can be arranged at a smooth part on the roof of the vehicle without interfering with driving, and the computer is arranged in the vehicle; the anemoscope, the GPS equipment and the laser radar are respectively connected with the computer and feed back the collected data information to the computer, and the computer processes and stores the data;
the anemoscope can acquire wind speed information including vehicle motion, environmental wind and influence brought by a front vehicle, and transmits the wind speed information to the computer in real time;
the laser radar collects the distance between the test vehicle and the front vehicle and the shape information of the tail part of the front vehicle and transmits the distance and the shape information to the computer in real time;
the GPS equipment collects the information of the running speed and the running direction of the vehicle and transmits the information to the computer in real time.
2. The system for researching the traffic following flow field in the road environment as claimed in claim 1, wherein when the test vehicle is running along with other vehicles, the anemoscope collects the wind speed information including vehicle motion, environmental wind and influence of vehicles ahead, and transmits the wind speed information to the computer in real time; when the test vehicle is in a road environment without vehicles in front, the data collected by the anemoscope only comprises the vehicle motion and the wind speed information of the environmental wind.
3. The system for researching the following flow field in the road environment as claimed in claim 1, wherein the anemometer can be one or more.
4. A method of studying a traffic following field in a road environment, the method using a system according to any one of claims 1-3, comprising the steps of:
(1) mounting an anemoscope, GPS equipment and a laser radar on a smooth part of the roof of a common small vehicle without interfering driving, recording each position of the mounting position relative to the vehicle body, and mounting a computer in the vehicle; the anemoscope, the GPS equipment and the laser radar are connected to a computer in the vehicle through data lines;
(2) the anemoscope, the GPS equipment and the laser radar acquire data in real time and transmit the data to the computer in real time;
(3) and the computer processes and stores the received data to finally obtain a vector influencing the front vehicle, and the vector is used as an index for researching the influence of the front vehicle on the flow field.
CN201910193673.6A 2019-03-14 2019-03-14 System and method for researching following flow field in road environment Pending CN110672294A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022171997A1 (en) * 2021-02-11 2022-08-18 Wind Farm Analytics Ltd A turbine provided with data for parameter improvement
CN115320590A (en) * 2022-07-20 2022-11-11 岚图汽车科技有限公司 A method and related equipment for correcting vehicle following position
CN119720393A (en) * 2025-02-26 2025-03-28 浙江远算科技有限公司 Multi-parameter automobile body flow field prediction method, device and server

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105260701A (en) * 2015-09-14 2016-01-20 中电海康集团有限公司 Front vehicle detection method applied to complex scene
CN205861319U (en) * 2016-07-15 2017-01-04 中国铁路总公司 The monitoring of high-speed railway wind speed and direction and rating test roof
CN107796626A (en) * 2017-10-31 2018-03-13 浙江大学 A kind of mounting platform and its application method for automobile engine PIV measurements
CN108027385A (en) * 2015-09-13 2018-05-11 风电场分析有限公司 Wind vectors measuring system
CN108106623A (en) * 2017-09-08 2018-06-01 同济大学 A kind of unmanned vehicle paths planning method based on flow field
CN108240845A (en) * 2018-01-11 2018-07-03 中南大学 A method for monitoring the environmental wind suffered by high-speed running vehicles

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108027385A (en) * 2015-09-13 2018-05-11 风电场分析有限公司 Wind vectors measuring system
CN105260701A (en) * 2015-09-14 2016-01-20 中电海康集团有限公司 Front vehicle detection method applied to complex scene
CN205861319U (en) * 2016-07-15 2017-01-04 中国铁路总公司 The monitoring of high-speed railway wind speed and direction and rating test roof
CN108106623A (en) * 2017-09-08 2018-06-01 同济大学 A kind of unmanned vehicle paths planning method based on flow field
CN107796626A (en) * 2017-10-31 2018-03-13 浙江大学 A kind of mounting platform and its application method for automobile engine PIV measurements
CN108240845A (en) * 2018-01-11 2018-07-03 中南大学 A method for monitoring the environmental wind suffered by high-speed running vehicles

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
傅立敏 等: ""列队行驶车辆间距对气动特性的影响"", 《汽车工程》 *
董辉: "《汽车用传感器》", 30 December 2009 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022171997A1 (en) * 2021-02-11 2022-08-18 Wind Farm Analytics Ltd A turbine provided with data for parameter improvement
CN115320590A (en) * 2022-07-20 2022-11-11 岚图汽车科技有限公司 A method and related equipment for correcting vehicle following position
CN119720393A (en) * 2025-02-26 2025-03-28 浙江远算科技有限公司 Multi-parameter automobile body flow field prediction method, device and server

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