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Network congestion level identification system

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CN105427595A
CN105427595A CN 201510834732 CN201510834732A CN105427595A CN 105427595 A CN105427595 A CN 105427595A CN 201510834732 CN201510834732 CN 201510834732 CN 201510834732 A CN201510834732 A CN 201510834732A CN 105427595 A CN105427595 A CN 105427595A
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field
device
image
road
section
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CN 201510834732
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CN105427595B (en )
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郑勇
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郑勇
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Abstract

The invention relates to a congestion level network identification system comprising a field image receiving device, an automotive terminal data receiving device, and an embedded processing device. The field image receiving device receives a target road section field image sent by a camera located at a target road section based on network communication; the automotive terminal data receiving device receives a real-time automobile speed sent by an automotive terminal located at the target road section based on network communication; and the embedded processing device determines a congestion level of the target road section according to the road section field image and the real-time automobile speed. With the system, the field shooting image and the field automobile speed are combined to determine a field congestion level; and according to a field smog concentration degree, weighted values of all factors for determining a congestion level are set.

Description

拥堵等级网络识别系统 Network congestion level identification system

[0001] 本发明是申请号为201510317936.1、申请日为2015年6月10日、发明名称为“拥堵等级网络识别系统”的专利的分案申请。 [0001] The present invention has application No. 201510317936.1, filed on June 10, 2015, entitled "Network congestion level identification system" patent divisional applications.

技术领域 FIELD

[0002] 本发明涉及网络通信领域,尤其涉及一种拥堵等级网络识别系统。 [0002] The present invention relates to network communication field, and more particularly to a system identification level network congestion.

背景技术 Background technique

[0003] 由于汽车数量的增长往往超过城市交通道路面积的增长,因而,道路拥堵日益成为每一个城市的通病,尤其在上班早晚高峰和节假日时段,道路拥堵浪费了人们的时间,降低了整个社会的工作效率。 [0003] As the number of cars increase often exceeds the growth of urban roads area, therefore, road congestion is increasingly becoming a common problem in every city, especially at work morning and evening peak and holiday periods, road congestion wasting people's time and reduce the whole community productivity.

[0004] 为了更合理地利用现有的城市道路资源,现有技术中出现了一些提供道路拥堵状况的技术方案,用于帮助人们避开道路拥堵路段,减少通行时间,提高办事效率。 [0004] In order to more rational use of existing urban road resources, the prior art there have been some road congestion offer technical solutions to help people avoid roads congested roads, reduce travel time and improve efficiency. 事实证明,采用路段拥堵参数能够有效缓和城市拥堵问题。 Facts have proved that the use of road congestion parameter can effectively alleviate urban congestion.

[0005] 然而,现有技术中对某一路段的拥堵程度的检测一般依赖于单因素检测模式,例如卫星遥感图像、实地汽车速度或实地摄像图像,但单因素检测容易受到自身检测体制带来的干扰,例如实地摄像图像容易受到实地雾霾浓度的干扰,导致检测精度不高。 [0005] However, the prior art of detecting a level of congestion of the road generally depends on the univariate detection mode, for example, satellite images, or field imaging field image vehicle speed, but the single factor detecting vulnerable detection system itself to bring interference, for example, an image pickup field haze susceptible to interference field concentration, resulting in the detection accuracy.

[0006] 为此,本发明提出了一种新的路段拥堵程度检测方案,能够将实地摄像图像和实地汽车速度结合,并在确定实地路段拥堵程度时,自适应为两个因素设置合理的权重值,从而有效保障本发明的双因素检测模式的检测精度,方便人们的高效出行。 [0006] To this end, the present invention proposes a new road congestion degree detection schemes can be combined with field and the field image pickup vehicle speed, and determining the congestion degree sections field, provided as two adaptive weighting factors reasonable value, so as to effectively protect the two-factor detection accuracy of the detection mode of the present invention, it is convenient and efficient travel.

发明内容 SUMMARY

[0007] 为了解决现有技术存在的技术问题,本发明提供了一种拥堵等级网络识别系统,基于实地雾霾浓度确定实地摄像图像和实地汽车速度两因素在确定目标路段拥堵等级时的权重值,同时,还引入了高精度的图像识别技术和省电模式,提高了识别系统的可靠性和准确性。 [0007] In order to solve the technical problems of the prior art, the present invention provides a network congestion level recognition system, image pickup field determines the vehicle speed and field two - Factors in determining the target road section based on the congestion level weight value field concentration haze , while also introducing a high-precision image recognition technology and the power saving mode, to improve the reliability and accuracy of the recognition system.

[0008] 根据本发明的一方面,提供了一种拥堵等级网络识别系统,所述识别系统包括实地图像接收设备、汽车终端数据接收设备和嵌入式处理设备,所述实地图像接收设备通过网络通信接收处于目标路段的摄像头发送的目标路段的路段实地图像,所述汽车终端数据接收设备通过网络通信接收处于目标路段的汽车终端发送的汽车实时速度,所述嵌入式处理设备根据所述路段实地图像和所述汽车实时速度确定目标路段的拥堵等级。 [0008] According to an aspect of the present invention, there is provided a network congestion level identification system, the identification system comprises an image field receiving apparatus, data receiving apparatus terminal automobiles and embedded processing device, the solid image receiving apparatus via a network communication automotive vehicle speed real-time field transmitted by the terminal link target road section image sent by a camera at the target road section, the car terminal data received in the receiving apparatus via a network communication link target, the embedded solid image processing apparatus according to the road and the speed of the car in real time to determine the congestion level of the target segment.

[0009] 更具体地,在所述拥堵等级网络识别系统中,还包括:雾霾浓度请求设备,与GPS数据查询设备连接,用于将目标路段的GPS数据发送到当地气象监控平台,以便于所述当地气象监控平台根据目标路段的GPS数据确定目标路段的雾霾浓度;雾霾浓度接收设备,用于接收所述当地气象监控平台返回的目标路段的雾霾浓度;请求接收设备,用于接收目标路段的拥堵程度的请求,所述目标路段的拥堵程度的请求中包括目标路段的名称和请求终端的标识,所述请求接收设备解析所述目标路段的拥堵程度的请求以获得目标路段的名称和请求终端的标识;移动硬盘,用于预先存储权重对照表、汽车上限灰度阈值、汽车下限灰度阈值和9个拥堵等级阈值,所述权重对照表以雾霾浓度为索引,保存了在确定路段拥堵等级时的实地图像数据权重值和汽车终端数据权重值, [0009] More specifically, in the network congestion level recognition system, further comprising: a haze concentration requesting device, GPS device connected to the data query, for transmitting the data of the target road section to the GPS local weather monitoring platform, in order to the local meteorological monitoring internet data of the target road section is determined based on the GPS haze concentration of the target road section; haze receiving apparatus concentration, the concentration of the target road section haze for receiving the local weather monitoring platform return; a request receiving means for request receiving congestion degree of the target road section, the congestion degree of the request for the target road section included in the target road section and identifies the name of the requesting terminal, the request requesting resolution of the congestion degree of the target road section receiving apparatus to obtain the target road section identify the name and requesting terminal; removable disk, a previously stored weight table, automobile upper gray threshold, automotive lower limit gradation threshold value and nine congestion level threshold value, the weight table to haze concentration index, preserved weight weight value data field image and the right car terminal data link congestion level when determining the weight value, 霾浓度越大,实地图像数据权重值越小,汽车终端数据权重值越大,所述汽车上限灰度阈值和所述汽车下限灰度阈值用于将图像中的汽车与背景分离,所述9个拥堵等级阈值按照从小到大均匀分布的方式取值以确定10个拥堵等级区间;GPS数据查询设备,采用云服务器形式实现,以路段名称为索引,预先存储了各个路段的GPS数据,所述GPS数据查询设备与所述请求接收设备连接,用于基于目标路段的名称查询目标路段的GPS数据;GPS数据发送设备,与所述GPS数据查询设备连接,用于将目标路段的GPS数据发送到处于目标路段的摄像头和处于目标路段的汽车终端,以便于处于目标路段的摄像头返回目标路段的路段实地图像,便于处于目标路段的汽车终端返回其的实时速度;所述实地图像接收设备用于接收处于目标路段的摄像头返回的目标路段的路段实地图像 The larger the haze concentration, the smaller the weight value field the image data, the larger the weight value data terminal cars, the car and the upper car gray threshold lower limit gradation threshold for separating the background image in automobiles, 9 a congestion level threshold in ascending manner uniformly distributed large values ​​to determine a congestion level section 10; GPS data query equipment, implemented in the form of the cloud server to segment index name, GPS data stored in advance in the respective sections, the GPS data query request receiving device and the connection device, GPS data is used to query the target road section based on the name of the target road section; GPS data transmitting apparatus, and said GPS data query device is connected, for transmitting data of the target road section to the GPS cameras, and automotive terminal in the target road section at the target road section, in order to return solid image link target road section in the camera at the target road section, to facilitate in the target road section automobiles terminal returns realtime speed thereof; the solid image receiving apparatus for receiving field image of the target section of the road in the target road section camera returned 包括小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备和微控制器,所述小波滤波子设备接收所述路段实地图像,对所述路段实地图像执行基于哈尔小波滤波器的滤波处理,以获得路段滤波图像,所述边缘增强子设备与所述小波滤波子设备连接,对所述路段滤波图像执行边缘增强处理,以获得路段增强图像,所述灰度化处理子设备与所述边缘增强子设备连接以对所述路段增强图像执行灰度化处理,获得灰度化图像,所述汽车识别子设备与所述灰度化处理子设备和所述移动硬盘分别连接,将所述灰度化图像中灰度值在所述汽车上限灰度阈值和所述汽车下限灰度阈值之间的像素识别并组成多个汽车子图像,所述微控制器与所述汽车识别子设备连接,将多个汽车子图像的数量作为目标路段的汽车数量输出;所述汽车终端数据接收设 Filtering apparatus includes a wavelet sub, edge enhancer apparatus, the gradation processing sub-device, and vehicle identification microcontroller child device, the wavelet sub-device receiving the filtered solid image segment, the segment of the solid image performed based on Haar filtering wavelet filter to obtain filtered image sections, the edge enhancer of the wavelet filtering apparatus connected to the slave device, the image enhancement processing for performing edge filtering said segment, to obtain an enhanced image sections, the graying the sub-processing device and the child device is connected to the edge enhancement for the enhanced image segment perform gradation processing to obtain the gradation of an image, the vehicle identification equipment and the sub-sub-grayscale processing apparatus and the mobile hard disk are connected to the gradation of the image pixel gray value to identify the cars between the upper limit and the cars gray threshold value and a lower limit gradation threshold automobile sub-images consisting of a plurality of the microcontroller and the said vehicle identification child device is connected, the number of sub-images as a plurality of car number of automobiles of the output target road section; said car data receiving terminal provided 备用于接收处于目标路段的汽车终端发送的实时速度;所述嵌入式处理设备与所述移动硬盘、所述雾霾浓度接收设备、所述实地图像接收设备和所述汽车终端数据接收设备分别连接,基于目标路段的雾霾浓度在所述权重对照表中查找到对应的实地图像数据权重值和对应的汽车终端数据权重值,将对应的实地图像数据权重值与目标路段的汽车数量相乘,将对应的汽车终端数据权重值与实时速度的倒数相乘,将两个乘积相加以获得目标路段的拥堵程度数值,将目标路段的拥堵程度数值落在所述10个拥堵等级区间中某一个等级区间所对应的等级作为目标路段的拥堵等级;拥堵程度发送设备,与所述请求接收设备和所述嵌入式处理设备分别连接,用于基于所述请求终端的标识,将所述嵌入式处理设备输出的目标路段的拥堵等级发送到所述请求终端的标识所 Ready for receiving real-time speed at the target vehicle terminal transmits the link; the embedded processing device and the mobile hard disk, the concentration of the haze receiving apparatus, the receiving apparatus and the image field cars are connected to data receiving apparatus terminal , haze concentration of the target road section based on a look at the weight lookup table to the field image corresponding to a weight value data token and a corresponding car terminal weight value data weights, multiplying the number corresponding to the solid image weight value data token and the target road vehicle, the inverse of weight values ​​corresponding to the terminal automobiles and real-time speed data token multiplying the two products are added to obtain the target value of the degree of congestion of the road, the level of congestion in the target road section number falling congestion level of the interval 10 a certain level the section level as congestion level corresponding to the target road section; degree of congestion transmission device connected to the request receiving device and the processing device are embedded, based on the request for the identifier of the terminal, the embedded processing device target congestion level output from the transmission sections to identify the requesting terminal 应的请求终端;其中,所述小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备分别采用不同型号的FPGA芯片来实现,所述小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备和微控制器被集成在一块集成电路板上;所述嵌入式处理设备在接收到请求接收设备发送的目标路段的拥堵程度的请求时,将所述GPS数据查询设备、所述GPS数据发送设备、所述雾霾浓度请求设备、所述雾霾浓度接收设备、所述实地图像接收设备和所述汽车终端数据接收设备从省电模式中启动,当所述嵌入式处理设备在发送目标路段的拥堵等级后,控制所述GPS数据查询设备、所述GPS数据发送设备、所述雾霾浓度请求设备、所述雾霾浓度接收设备、所述实地图像接收设备和所述汽车终端数据接收设备进入省电模式。 Shall requesting terminal; wherein the child device wavelet filtering, edge enhancement child device, the sub-grayscale processing apparatus, vehicle identification devices are implemented using the sub-models of different FPGA chip, the child device wavelet filtering, edge enhancer apparatus, the sub-grayscale processing apparatus, vehicle identification equipment and sub microcontroller is integrated in an integrated circuit board; embedded processing device when the degree of jamming in the received request destination link transmission request receiving device, the the GPS data querying device, said GPS data transmitting apparatus, the request apparatus haze concentration, the concentration of the haze receiving apparatus, the receiving apparatus and the image field car terminal device starts receiving data from the power saving mode, , embedded processing device, when the congestion level sent after the target road section, the control data query GPS device, the GPS data transmitting apparatus, the request apparatus haze concentration, the concentration of the haze receiving apparatus, said solid image receiving apparatus and the data receiving apparatus terminal auto power saving mode.

[0010] 更具体地,在所述拥堵等级网络识别系统中:所述微控制器为单片机。 [0010] More specifically, in the network congestion level recognition system: the microcontroller MCU.

[0011] 更具体地,在所述拥堵等级网络识别系统中,还包括:显示设备,与所述嵌入式处理设备连接,用于显示所述目标路段的实地汽车数量、所述目标路段的汽车数量和所述目标路段的拥堵等级。 [0011] More specifically, in the network congestion level recognition system, further comprising: a field of automotive equipment, and the embedded processing device is connected, for displaying the number of the target road section, said target road section displayed automobiles congestion level number and the target road section.

[0012] 更具体地,在所述拥堵等级网络识别系统中,还包括:供电设备,包括太阳能供电器件、锂电池、切换开关和电压转换器,所述切换开关与所述太阳能供电器件和所述锂电池分别连接,根据锂电池的剩余电量决定是否切换到所述太阳能供电器件以由所述太阳能供电器件供电,所述电压转换器与所述切换开关连接,以将通过切换开关输入的5V电压转换为3.3V电压。 [0012] More specifically, in the network congestion level recognition system, further comprising: a power supply apparatus, including a solar-powered device, lithium battery, a voltage converter and a switch, said switch and the switching device and by solar power are respectively connected to said lithium, decide whether to switch to the solar power supply device to the power supply by a solar-powered device, said voltage converter and the connection switch in accordance with the remaining power lithium battery, by switching the switch to the input of 5V voltage to 3.3V.

[0013] 更具体地,在所述拥堵等级网络识别系统中:所述嵌入式处理设备为ARM11处理器。 [0013] More specifically, in the network congestion level recognition system: the processing device is embedded ARM11 processor.

附图说明 BRIEF DESCRIPTION

[0014] 以下将结合附图对本发明的实施方案进行描述,其中: [0014] will be described in conjunction with the accompanying drawings, in which embodiments of the present invention:

[0015]图1为根据本发明实施方案示出的拥堵等级网络识别系统的结构方框图。 [0015] FIG. 1 is a block diagram showing the network congestion level identification system according to the illustrated embodiment of the invention.

具体实施方式 detailed description

[0016] 下面将参照附图对本发明的拥堵等级网络识别系统的实施方案进行详细说明。 [0016] below with reference to the drawings embodiments congestion level of the network identification system of the present invention will be described in detail.

[0017]当前的导航设备,其对路段的拥堵状况的检测一般依赖于单因素模式,这种模式容易受到干扰,导致提高的参考数据没有参考价值,甚至具有误导性,为人们的出行带来了不便。 [0017] The current navigation device that detects congestion on the roads is generally dependent on a single factor model that is susceptible to interference, resulting in increase of the reference data is not valuable, or even misleading, it brings people travel the inconvenience.

[0018] 为了克服上述不足,本发明搭建了一种拥堵等级网络识别系统,将实地摄像图像和实地汽车速度通过加权方式结合判断每一个目标路段的实时拥堵等级,从而有效解决上述技术问题。 [0018] In order to overcome the above disadvantages, the present invention is to build a network congestion level identification system, the field and the field image pickup speed of the vehicle is determined in real time by a weighted incorporated congestion level of each of the target road section, in order to effectively solve the above problems.

[0019]图1为根据本发明实施方案示出的拥堵等级网络识别系统的结构方框图,所述识别系统包括实地图像接收设备1、汽车终端数据接收设备2和嵌入式处理设备3,所述实地图像接收设备1通过网络通信接收处于目标路段的摄像头发送的目标路段的路段实地图像,所述汽车终端数据接收设备2通过网络通信接收处于目标路段的汽车终端发送的汽车实时速度,所述嵌入式处理设备3根据所述路段实地图像和所述汽车实时速度确定目标路段的拥堵等级。 [0019] FIG. 1 is a block diagram showing the network congestion level identification system shown, the system includes a field identifying the image receiving apparatus 1, car 2 and the terminal apparatus receiving the embedded data processing apparatus 3 according to an embodiment of the present invention, the field automotive vehicle speed real-time field transmitted by the terminal link segment image of the target camera image transmission reception device 1 receives the target road section is in communication through a network, the car terminal device 2 receives the data reception through the target road section in the communication network, the embedded processing apparatus 3 determines a congestion level based on the target road section and the road automobile field image real-time speed.

[0020] 接着,继续对本发明的拥堵等级网络识别系统的具体结构进行进一步的说明。 [0020] Next, the specific structure of the congestion level to continue to identify the network system of the present invention will be further described.

[0021] 所述识别系统还包括:雾霾浓度请求设备,与GPS数据查询设备连接,用于将目标路段的GPS数据发送到当地气象监控平台,以便于所述当地气象监控平台根据目标路段的GPS数据确定目标路段的雾霾浓度。 [0021] The identification system further comprising: a haze concentration requesting device, connected to the GPS data query device, for transmitting data of the target road section to the GPS local weather monitoring platform, so as to monitor the local weather internet link to the target GPS data to determine the haze concentration of the target segment.

[0022] 所述识别系统还包括:雾霾浓度接收设备,用于接收所述当地气象监控平台返回的目标路段的雾霾浓度。 [0022] The identification system further comprising: a receiving apparatus haze concentration, the concentration of the target road section haze for receiving the local weather monitoring platform returned.

[0023] 所述识别系统还包括:请求接收设备,用于接收目标路段的拥堵程度的请求,所述目标路段的拥堵程度的请求中包括目标路段的名称和请求终端的标识,所述请求接收设备解析所述目标路段的拥堵程度的请求以获得目标路段的名称和请求终端的标识。 [0023] The identification system further comprising: request receiving means for receiving a target degree of congestion link request, the request for the degree of congestion in the target road section identifying the target road section comprises a name and a request terminal, the request receiving parsing the target degree of jamming device link request to obtain the name and identifier of the target road section request terminal.

[0024] 移动硬盘,用于预先存储权重对照表、汽车上限灰度阈值、汽车下限灰度阈值和9个拥堵等级阈值,所述权重对照表以雾霾浓度为索引,保存了在确定路段拥堵等级时的实地图像数据权重值和汽车终端数据权重值,雾霾浓度越大,实地图像数据权重值越小,汽车终端数据权重值越大,所述汽车上限灰度阈值和所述汽车下限灰度阈值用于将图像中的汽车与背景分离,所述9个拥堵等级阈值按照从小到大均匀分布的方式取值以确定10个拥堵等级区间。 [0024] a removable disk, a pre-stored weighting table, automobile upper gray threshold, automotive lower limit gradation threshold value and nine congestion level threshold value, the weight table to haze concentration as an index stored congestion determination sections when the weight value field level weight value image data and weights the right car terminal data, the greater the haze concentration, the smaller the weight value field the image data, the larger the weight value data terminal cars, the car and the upper car gray threshold limit ash threshold for separating the background image in automobiles, the nine congestion level threshold in ascending manner uniformly distributed values ​​to determine a congestion level section 10.

[0025] 所述识别系统还包括:GPS数据查询设备,采用云服务器形式实现,以路段名称为索引,预先存储了各个路段的GPS数据,所述GPS数据查询设备与所述请求接收设备连接,用于基于目标路段的名称查询目标路段的GPS数据。 [0025] The identification system further comprising: GPS data query equipment, implemented in the form of the cloud server to segment index name, previously stored data of the respective sections of the GPS, the GPS data query request receiving device and the connection device, GPS data is used to query the target road section based on the name of the target segment.

[0026] 所述识别系统还包括:GPS数据发送设备,与所述GPS数据查询设备连接,用于将目标路段的GPS数据发送到处于目标路段的摄像头和处于目标路段的汽车终端,以便于处于目标路段的摄像头返回目标路段的路段实地图像,便于处于目标路段的汽车终端返回其的实时速度。 [0026] The identification system further comprising: GPS data transmitting apparatus, a GPS device connected to the data query, for transmitting GPS data to the camera target road section at the target road section and the road section at the target vehicle terminal, in order to the camera image of the target road section returns the link field of the target road section, the terminal in the target road section to facilitate the car returns to its real-time speed.

[0027] 所述实地图像接收设备1用于接收处于目标路段的摄像头返回的目标路段的路段实地图像,包括小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备和微控制器,所述小波滤波子设备接收所述路段实地图像,对所述路段实地图像执行基于哈尔小波滤波器的滤波处理,以获得路段滤波图像,所述边缘增强子设备与所述小波滤波子设备连接,对所述路段滤波图像执行边缘增强处理,以获得路段增强图像,所述灰度化处理子设备与所述边缘增强子设备连接以对所述路段增强图像执行灰度化处理,获得灰度化图像,所述汽车识别子设备与所述灰度化处理子设备和所述移动硬盘分别连接,将所述灰度化图像中灰度值在所述汽车上限灰度阈值和所述汽车下限灰度阈值之间的像素识别并组成多个汽车子图像,所述微控制器与所述汽车识别 The [0027] solid image segment solid image receiving apparatus for receiving a camera at the target road section returned target road section, the apparatus comprising a sub wavelet filtering, edge enhancement child device, the sub-grayscale processing apparatus, vehicle identification equipment and sub the microcontroller, the wavelet filtering sub-device receiving the link solid image, the solid image segment perform a filtering process based on Haar wavelet filter to obtain filtered image sections, the edge enhancement device and the wavelet sub filtering connecting sub-devices, image enhancement processing for performing edge filtering said segment, to obtain an enhanced image sections, and the gradation of the sub-device processing device is connected to an edge enhancer for enhancing the image segment perform gradation processing obtained grayscale image, the vehicle identification equipment and the sub-sub-grayscale processing apparatus and the mobile hard disk is connected, the gradation of gray values ​​of the image gray threshold and upper car identifying pixels between the car threshold and the lower limit gradation sub-images consisting of a plurality of cars, the vehicle identification with the microcontroller 设备连接,将多个汽车子图像的数量作为目标路段的汽车数量输出。 Device is connected, the number of sub-images as a plurality of car number of automobiles of the output target road section.

[0028] 所述汽车终端数据接收设备2用于接收处于目标路段的汽车终端发送的实时速度。 Real-time transmission of the terminal velocity of the vehicle [0028] The car terminal for receiving the data reception device 2 at the target road section.

[0029] 所述嵌入式处理设备3与所述移动硬盘、所述雾霾浓度接收设备、所述实地图像接收设备1和所述汽车终端数据接收设备2分别连接,基于目标路段的雾霾浓度在所述权重对照表中查找到对应的实地图像数据权重值和对应的汽车终端数据权重值,将对应的实地图像数据权重值与目标路段的汽车数量相乘,将对应的汽车终端数据权重值与实时速度的倒数相乘,将两个乘积相加以获得目标路段的拥堵程度数值,将目标路段的拥堵程度数值落在所述10个拥堵等级区间中某一个等级区间所对应的等级作为目标路段的拥堵等级。 [0029] The embedded processing device 3 and the mobile hard disk, the concentration of the haze receiving apparatus, a solid image receiving terminal apparatus 1 and the car 2 are connected to the data reception apparatus, based on the concentration of the target road section haze Find the weight lookup table to the field image corresponding to a weight value data token and a corresponding car terminal weight value data weights, multiplying the number of field image data weight value and the target road section corresponding to cars, the corresponding car terminal data weighting value and multiplying the inverse of the real-time speed, the degree of jamming to be the product of two values ​​obtained with the target road section, the congestion degree of the value of the target road section falls a certain level interval 10 congestion level corresponding to the level of the interval as the target road section the congestion level.

[0030] 所述识别系统还包括:拥堵程度发送设备,与所述请求接收设备和所述嵌入式处理设备3分别连接,用于基于所述请求终端的标识,将所述嵌入式处理设备输出的目标路段的拥堵等级发送到所述请求终端的标识所对应的请求终端。 [0030] The identification system further comprising: a congestion level of a transmitting apparatus 3 are connected to the request receiving device and the embedded processing device, based on the request for the identifier of the terminal, the output processing device embedded congestion level of the target road section is transmitted to the request terminal requesting the terminal corresponding to the identification.

[0031] 其中,所述小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备分别采用不同型号的FPGA芯片来实现,所述小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备和微控制器被集成在一块集成电路板上;所述嵌入式处理设备3在接收到请求接收设备发送的目标路段的拥堵程度的请求时,将所述GPS数据查询设备、所述GPS数据发送设备、所述雾霾浓度请求设备、所述雾霾浓度接收设备、所述实地图像接收设备1和所述汽车终端数据接收设备2从省电模式中启动,当所述嵌入式处理设备3在发送目标路段的拥堵等级后,控制所述GPS数据查询设备、所述GPS数据发送设备、所述雾霾浓度请求设备、所述雾霾浓度接收设备、所述实地图像接收设备1和所述汽车终端数据接收设备2进入省电模式。 [0031] wherein the child device wavelet filtering, edge enhancement child device, the sub-grayscale processing apparatus, vehicle identification devices using different sub-types of FPGA chip to achieve a sub-device wavelet filtering, edge enhancement sub-device, gradation processing sub-devices, child devices and vehicle identification microcontroller is integrated in an integrated circuit board; 3 when the processing device embedded in the received request destination link congestion degree received request transmission device, the said GPS data query device, said GPS data transmitting apparatus, the request apparatus haze concentration, the concentration of the haze receiving apparatus 2 from the power saving mode, the solid image receiving apparatus 1 and the data receiving apparatus terminal automobiles starting, when the congestion level 3 processing device embedded in the transmitted target road section, the control data query GPS device, the GPS data transmitting apparatus, the request apparatus concentration haze, the haze concentration reception apparatus, the solid image receiving apparatus 1 and the data receiving apparatus 2 car terminal enters the power saving mode.

[0032] 可选地,所述微控制器为单片机;所述拥堵等级网络识别系统还包括:显示设备,与所述嵌入式处理设备3连接,用于显示所述目标路段的实地汽车数量、所述目标路段的汽车数量和所述目标路段的拥堵等级;所述拥堵等级网络识别系统还包括:供电设备,包括太阳能供电器件、锂电池、切换开关和电压转换器,所述切换开关与所述太阳能供电器件和所述锂电池分别连接,根据锂电池的剩余电量决定是否切换到所述太阳能供电器件以由所述太阳能供电器件供电,所述电压转换器与所述切换开关连接,以将通过切换开关输入的5V电压转换为3.3V电压;以及,所述嵌入式处理设备3为ARM11处理器。 [0032] Alternatively, the microcontroller is a microcontroller; network congestion level of said identification system further comprising: a display device, and the embedded processing device 3 is connected, the number of cars display field of the target road section, the target number of cars and road congestion level of the target road section; network congestion level of said identification system further comprising: a power supply apparatus, including a solar-powered device, lithium battery, a voltage converter and a switch, said switch and the said device and said solar power are connected to the lithium battery, decide whether to switch to the solar power supply device to the switching device by said solar power supply, the switch is connected to the voltage converter in accordance with the remaining power lithium battery, in order to 5V voltage conversion by switching the switch the input voltage is 3.3V; and, the processing device 3 is embedded ARM11 processor.

[0033] 另外,FPGA (Field — Programmable Gate Array),即现场可编程门阵列,他是在PAL、GAL、CPLD等可编程器件的基础上进一步发展的产物。 [0033] Further, FPGA (Field - Programmable Gate Array), a field programmable gate array, i.e., he is further development of the product on the basis of PAL, GAL, CPLD, etc. on programmable devices. 他是作为专用集成电路(ASIC)领域中的一种半定制电路而出现的,既解决了定制电路的不足,又克服了原有可编程器件门电路数有限的缺点。 He is a dedicated integrated circuits in a semi-custom circuit (ASIC) and the emergence of not only solve the lack of custom circuits, and overcomes the limited number of original gates of programmable devices disadvantages.

[0034] 以硬件描述语言(Verilog或VHDL)所完成的电路设计,可以经过简单的综合与布局,快速的烧录至FPGA上进行测试,是现代1C设计验证的技术主流。 [0034] In the circuit hardware description language (Verilog or VHDL) completed, can be subjected to a simple synthesis and placement, rapid test burn onto the FPGA, 1C is the mainstream technology of modern design verification. 这些可编辑元件可以被用来实现一些基本的逻辑门电路(比如AND、OR、XOR、NOT)或者更复杂一些的组合功能比如解码器或数学方程式。 These elements may be used to edit some basic logic gates (such as AND, OR, XOR, NOT) or more complex combinational functions such as decoders or mathematical equation. 在大多数的FPGA里面,这些可编辑的元件里也包含记忆元件例如触发器(Flip — flop)或者其他更加完整的记忆块。 Most inside FPGA, these elements can be edited in memory elements such as flip-flops also includes (Flip - flop) or other more complete blocks of memories. 系统设计师可以根据需要通过可编辑的连接把FPGA内部的逻辑块连接起来,就好像一个电路试验板被放在了一个芯片里。 The system designer can edit the connections inside the FPGA logic blocks connected together as required, if a test circuit board is placed in a chip. 一个出厂后的成品FPGA的逻辑块和连接可以按照设计者而改变,所以FPGA可以完成所需要的逻辑功能。 After a pre-finished FPGA logic blocks and connections may vary according to the designer, the FPGA logic to complete the desired function.

[0035] FPGA—般来说比ASIC(专用集成电路)的速度要慢,实现同样的功能比ASIC电路面积要大。 [0035] FPGA- Generally speaking rate ratio ASIC (application specific integrated circuit) slower than ASIC achieve the same functionality to a large circuit area. 但是他们也有很多的优点比如可以快速成品,可以被修改来改正程序中的错误和更便宜的造价。 But they also have a lot of advantages such as can be finished quickly, it can be modified to correct errors in the program and a cheaper cost. 厂商也可能会提供便宜的但是编辑能力差的FPGA。 Vendors may also offer cheap but poor editing capabilities FPGA. 因为这些芯片有比较差的可编辑能力,所以这些设计的开发是在普通的FPGA上完成的,然后将设计转移到一个类似于ASIC的芯片上。 Because these chips have a relatively poor ability to edit, so that the development of these designs is performed on the FPGA normal, then transferred to a design similar to the ASIC chip. 另外一种方法是用CPLD (Complex Programmable Logic Device,复杂可编程逻辑器件)。 Another method is to use CPLD (Complex Programmable Logic Device, CPLD). FPGA的开发相对于传统PC、单片机的开发有很大不同。 FPGA development with respect to the development of traditional PC, the microcontroller are very different. FPGA以并行运算为主,以硬件描述语言来实现;相比于PC或单片机(无论是冯诺依曼结构还是哈佛结构)的顺序操作有很大区别。 In FPGA-based parallel computing, it is implemented in a hardware description language; compared to a PC or microcontroller (von Neumann architecture is whether or Harvard architecture) of the sequential operation is very different.

[0036] 早在1980年代中期,FPGA已经在PLD设备中扎根。 [0036] As early as the mid-1980s, FPGA has taken root in the PLD device. CPLD和FPGA包括了一些相对大数量的可编辑逻辑单元。 CPLD and FPGA comprises a number of relatively large number of programmable logic cells. CPLD逻辑门的密度在几千到几万个逻辑单元之间,而FPGA通常是在几万到几百万。 CPLD logic gate density of between a few thousand to tens of thousands of logic cells, the FPGA typically tens of thousands to several millions. CPLD和FPGA的主要区别是他们的系统结构。 The main difference between CPLD and FPGA is their system architecture. CPLD是一个有点限制性的结构。 CPLD is a somewhat limiting structure. 这个结构由一个或者多个可编辑的结果之和的逻辑组列和一些相对少量的锁定的寄存器组成。 This structure can be edited by one or more logical groups of columns sum the results and some relatively small number of lock registers. 这样的结果是缺乏编辑灵活性,但是却有可以预计的延迟时间和逻辑单元对连接单元高比率的优点。 This results in a lack of flexibility in editing, but there can be expected the advantage of the time delay unit and a logic unit connected to a high ratio. 而FPGA却是有很多的连接单元,这样虽然让他可以更加灵活的编辑,但是结构却复杂的多。 The FPGA is connected to a lot of units, although this may make him more flexible editing, but the structure was more complicated.

[0037] 采用本发明的拥堵等级网络识别系统,针对现有技术中单因素路段拥堵程度检测模式检测结果精度不高的技术问题,将实地摄像图像和实地汽车速度通过加权方式进行结合,对每一个目标路段的拥堵程度进行分等级判断,从而为人们提供了更有价值的导航数据。 [0037] The present invention network congestion level identification systems, the prior art single factor for road congestion degree pattern detection result of the detection accuracy is not high technical problem, the imaging field and field images are combined by a weighted vehicle speed manner, each a target level of congestion of roads were graded judgment, thus providing a more valuable navigation data for people.

[0038] 可以理解的是,虽然本发明已以较佳实施例披露如上,然而上述实施例并非用以限定本发明。 [0038] It will be appreciated that although the present invention has been disclosed as the preferred embodiment, however, the above-described embodiments are not intended to limit the present invention. 对于任何熟悉本领域的技术人员而言,在不脱离本发明技术方案范围情况下,都可利用上述揭示的技术内容对本发明技术方案做出许多可能的变动和修饰,或修改为等同变化的等效实施例。 For any skilled in the art, without departing from the scope of the technical solution of the present invention, use can be made the above-described technical contents disclosed many possible variations and modifications of the technical solution of the present invention, as equivalent variations or modifications, etc. Example efficiency. 因此,凡是未脱离本发明技术方案的内容,依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化及修饰,均仍属于本发明技术方案保护的范围内。 Thus, all without departing from the technical solutions of the present invention, any simple modification based on the technical essence of the present invention made of the above Example, equivalents, modifications and variations, provided they fall within the scope of protection of the present invention.

Claims (2)

1.一种拥堵等级网络识别系统,所述识别系统包括实地图像接收设备、汽车终端数据接收设备和嵌入式处理设备,所述实地图像接收设备通过网络通信接收处于目标路段的摄像头发送的目标路段的路段实地图像,所述汽车终端数据接收设备通过网络通信接收处于目标路段的汽车终端发送的汽车实时速度,所述嵌入式处理设备根据所述路段实地图像和所述汽车实时速度确定目标路段的拥堵等级。 A network congestion level identification system, the identification system comprises an image field receiving apparatus, data receiving apparatus terminal automobiles and embedded processing device, the image field target road section at the target receiving device to receive a network communication link via the camera transmitted solid image sections, the speed of the car in real time car terminal data received in the receiving apparatus via a network communication link target cars sent by the terminal, the embedded processing device based on the determined target road section and the road section image field in real time car speed congestion level.
2.如权利要求1所述的拥堵等级网络识别系统,其特征在于,所述识别系统还包括: 雾霾浓度请求设备,与GPS数据查询设备连接,用于将目标路段的GPS数据发送到当地气象监控平台,以便于所述当地气象监控平台根据目标路段的GPS数据确定目标路段的雾霾浓度; 雾霾浓度接收设备,用于接收所述当地气象监控平台返回的目标路段的雾霾浓度;请求接收设备,用于接收目标路段的拥堵程度的请求,所述目标路段的拥堵程度的请求中包括目标路段的名称和请求终端的标识,所述请求接收设备解析所述目标路段的拥堵程度的请求以获得目标路段的名称和请求终端的标识; 移动硬盘,用于预先存储权重对照表、汽车上限灰度阈值、汽车下限灰度阈值和9个拥堵等级阈值,所述权重对照表以雾霾浓度为索引,保存了在确定路段拥堵等级时的实地图像数据权重值 Network congestion level 2. The identification system according to claim 1, characterized in that said identification system further comprising: a haze concentration requesting device, GPS device connected to the data query, for transmitting the data of the target road section to the GPS local meteorological monitoring platform, in order to determine the concentration of the target road section haze according to the GPS data of the target road section in local meteorological monitoring internet; haze receiving apparatus concentration, the concentration of the target road section haze for receiving the local weather monitoring platform returned; request receiving means for receiving the degree of congestion request target road section, the congestion degree of the request in the target road section comprises a name identifying the target road section and the request terminal, the congestion level parsing the request target road section receiving device request to obtain identification name of the target road section and the request terminal; removable disk, a previously stored weight table, automobile upper gray threshold, automotive lower limit gradation threshold value and nine congestion level threshold value, the weight table in haze concentration index, save the image field right to re-value data in determining the level of road congestion 汽车终端数据权重值,雾霾浓度越大,实地图像数据权重值越小,汽车终端数据权重值越大,所述汽车上限灰度阈值和所述汽车下限灰度阈值用于将图像中的汽车与背景分离,所述9个拥堵等级阈值按照从小到大均匀分布的方式取值以确定10个拥堵等级区间; GPS数据查询设备,采用云服务器形式实现,以路段名称为索引,预先存储了各个路段的GPS数据,所述GPS数据查询设备与所述请求接收设备连接,用于基于目标路段的名称查询目标路段的GPS数据; GPS数据发送设备,与所述GPS数据查询设备连接,用于将目标路段的GPS数据发送到处于目标路段的摄像头和处于目标路段的汽车终端,以便于处于目标路段的摄像头返回目标路段的路段实地图像,便于处于目标路段的汽车终端返回其的实时速度; 所述实地图像接收设备用于接收处于目标路段的摄像头返回的 Car terminal data weight value, the greater the haze concentration, the smaller the weight value field the image data, the larger the weight value data terminal cars, the car and the upper car gray threshold lower limit threshold gray image for automobiles bACKGROUND separated, the nine congestion level threshold in ascending manner uniformly distributed large values ​​to determine a congestion level section 10; the GPS data query equipment, implemented in the form of the cloud server to segment index name, previously stored various GPS data segment of the GPS data query request receiving device and the connection device, GPS data is used to query the target road section based on the name of the target road section; GPS data transmitting apparatus, and said GPS data query device is connected, for transmitting GPS data of the target road section to the camera at the target road section and in the target road section car terminal to return solid image link target road section in the camera at the target road section, to facilitate the car terminal at the target road section to return real-time speed thereof; the solid image receiving apparatus for receiving a camera at the target road section is returned 目标路段的路段实地图像,包括小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备和微控制器,所述小波滤波子设备接收所述路段实地图像,对所述路段实地图像执行基于哈尔小波滤波器的滤波处理,以获得路段滤波图像,所述边缘增强子设备与所述小波滤波子设备连接,对所述路段滤波图像执行边缘增强处理,以获得路段增强图像,所述灰度化处理子设备与所述边缘增强子设备连接以对所述路段增强图像执行灰度化处理,获得灰度化图像,所述汽车识别子设备与所述灰度化处理子设备和所述移动硬盘分别连接,将所述灰度化图像中灰度值在所述汽车上限灰度阈值和所述汽车下限灰度阈值之间的像素识别并组成多个汽车子图像,所述微控制器与所述汽车识别子设备连接,将多个汽车子图像的数量作为目标路段的汽车数量输出 Solid image link target road section, the apparatus comprising a sub wavelet filtering, edge enhancement child device, the sub-grayscale processing apparatus, vehicle identification child device and a microcontroller, said wavelet filter sub-sections of the apparatus receiving an image field, the solid image processing sections performs filtering based on Haar wavelet filter to obtain filtered image sections, the edge enhancer of the wavelet filtering apparatus connected to the slave device, the filtered image of the road performing edge enhancement processing to obtain enhanced link the image, the gradation of the sub-processing device and the child device is connected to the edge enhancement for the enhanced image segment perform gradation processing to obtain the gradation of an image, the vehicle identification equipment and the sub-grayscale processing and the child device are connected to a mobile hard disk, the grayscale image of gray values ​​between the pixels identifying the car threshold and the gray upper car and the lower limit threshold gray sub-images consisting of a plurality of cars, the micro-controller and the child device connected to the vehicle identification, the number of sub-images as a plurality of car number of automobiles of the target road section output 所述汽车终端数据接收设备用于接收处于目标路段的汽车终端发送的实时速度; 所述嵌入式处理设备与所述移动硬盘、所述雾霾浓度接收设备、所述实地图像接收设备和所述汽车终端数据接收设备分别连接,基于目标路段的雾霾浓度在所述权重对照表中查找到对应的实地图像数据权重值和对应的汽车终端数据权重值,将对应的实地图像数据权重值与目标路段的汽车数量相乘,将对应的汽车终端数据权重值与实时速度的倒数相乘,将两个乘积相加以获得目标路段的拥堵程度数值,将目标路段的拥堵程度数值落在所述10个拥堵等级区间中某一个等级区间所对应的等级作为目标路段的拥堵等级; 拥堵程度发送设备,与所述请求接收设备和所述嵌入式处理设备分别连接,用于基于所述请求终端的标识,将所述嵌入式处理设备输出的目标路段的拥堵等级发 The car terminal apparatus for receiving real-time data receiving speed at the target vehicle terminal transmits the link; the embedded processing device and the mobile hard disk, the concentration of the haze receiving apparatus, the receiving apparatus and the image field car terminal data receiving apparatus is connected, based on the haze concentration of the target road section is found in the field image corresponding to a weight value of the data token and the corresponding car terminal weight value data weights in the weight table, the solid image weight value data token to the target corresponding to multiplied by the number of cars sections, multiplied by the reciprocal value of the car weight data token and the terminal velocity of the corresponding real-time, two of the products added to obtain the target value of the degree of congestion of the road section, the congestion degree of the value of the target road section 10 falls a congestion level interval corresponding to a segment level as the level of congestion level of the target road section; degree of congestion transmission device, the request receiving device and the connector are embedded processing device, based on the request for the identifier of the terminal, the congestion level of the target road section embedded processing device output hair 送到所述请求终端的标识所对应的请求终端; 其中,所述小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备分别采用不同型号的FPGA芯片来实现,所述小波滤波子设备、边缘增强子设备、灰度化处理子设备、汽车识别子设备和微控制器被集成在一块集成电路板上; 其中,所述嵌入式处理设备在接收到请求接收设备发送的目标路段的拥堵程度的请求时,将所述GPS数据查询设备、所述GPS数据发送设备、所述雾霾浓度请求设备、所述雾霾浓度接收设备、所述实地图像接收设备和所述汽车终端数据接收设备从省电模式中启动,当所述嵌入式处理设备在发送目标路段的拥堵等级后,控制所述GPS数据查询设备、所述GPS数据发送设备、所述雾霾浓度请求设备、所述雾霾浓度接收设备、所述实地图像接收设备和所述汽车终端数据接收设备进入 The request requesting the terminal to identify the corresponding terminal; wherein the child device wavelet filtering, edge enhancement child device, the sub-grayscale processing apparatus, vehicle identification devices are implemented using the sub-models of different FPGA chip, the wavelet filtering said child device, the child device edge enhancement, grayscale processing sub-device, and the vehicle identification child device integrated in a microcontroller is an integrated circuit board; wherein the embedded processing apparatus receiving the transmission request reception apparatus when the congestion degree of the request for the target road section, the inquiry data GPS device, the GPS data transmitting apparatus, the request apparatus haze concentration, the concentration of the haze receiving apparatus, the receiving apparatus and the image field car terminal device starts the data received from the power saving mode, when the embedded processing device after transmitting the congestion level of the target road section, the control data query GPS device, the GPS data transmitting apparatus, the haze concentration requesting device the concentration haze receiving apparatus, a solid image receiving terminal apparatus and the data receiving device into the car 电模式; 供电设备,包括太阳能供电器件、锂电池、切换开关和电压转换器,所述切换开关与所述太阳能供电器件和所述锂电池分别连接,根据锂电池的剩余电量决定是否切换到所述太阳能供电器件以由所述太阳能供电器件供电,所述电压转换器与所述切换开关连接,以将通过切换开关输入的5V电压转换为3.3V电压; 所述嵌入式处理设备为ARM11处理器。 Power mode; power supply apparatus, including a solar-powered device, lithium battery, a voltage converter and a switch, said switch device and the solar power supply are connected to the lithium, decide whether to switch to a lithium battery according to the remaining amount of the solar power to said device by said solar power supply device, said voltage converter and the switch is connected to convert the input voltage of 5V through the switch voltage is 3.3V; and the processing device is embedded processor ARM11 .
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