|Publication number||CN105427595 A|
|Application number||CN 201510834732|
|Publication date||23 Mar 2016|
|Filing date||10 Jun 2015|
|Priority date||10 Jun 2015|
|Also published as||CN105023432A, CN105023432B, CN105427595B, CN105513343A, CN105513343B|
|Publication number||201510834732.5, CN 105427595 A, CN 105427595A, CN 201510834732, CN-A-105427595, CN105427595 A, CN105427595A, CN201510834732, CN201510834732.5|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (8), Classifications (1), Legal Events (5)|
|External Links: SIPO, Espacenet|
拥堵等级网络识别系统 Network congestion level recognition system
 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。  The present invention is Application No. 201510317936.1, filed on June 10, 2015, entitled the "congestion level network identification system" patent divisional application.
技术领域 TECHNICAL FIELD
 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。  The present invention relates to the field of network communication, particularly to a network congestion level identification system.
背景技术 Background technique
 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。  Since the number of cars increase often exceeds the growth of the urban road traffic 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.
 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。  In order to more rational use of existing urban road resources, the prior art there have been some road congestion provide technical solutions to help people avoid roads congested roads, reducing 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.
 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。  However, the prior art to detect the degree of congestion on a section of generally depend on a single factor detection mode, such as satellite images, field or field vehicle speed captured image, but the single factor detecting vulnerable to detection system itself brings interference, such as an image pickup field susceptible to interference field haze concentration, resulting in detection accuracy is not high.
 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。  To this end, the present invention provides a new level of road congestion detection scheme, the captured image can be in the field and in the field combined with vehicle speed, and in the field to determine the extent of road congestion, the adaptation of two factors set reasonable weight value, so as to effectively guarantee the detection accuracy of two-factor detection mode of the present invention, to facilitate people's effective travel.
 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。  In order to solve the technical problems of the prior art, the present invention provides a network congestion level recognition system determines captured image field and field two cars speed factor in determining the right level of road congestion target weight value is based on the ground haze concentration , also introduced a high-precision image recognition technology and power saving mode, improve the reliability and accuracy of the recognition system.
 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。  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, and automotive end embedded processing device, the image receiving devices via field network automotive car terminal transmits real-time speed of the target road section at the receiving camera sending to the link on a solid image, the car is in the receiving terminal apparatus receiving data of the target road section via a communication network, the embedded processing apparatus according to the image field segment and real-time speed of the car to determine the target road congestion level.
 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。  More specifically, in the network congestion level identification system: the single-chip microcontrollers.
 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。  More specifically, the congestion level at the network recognition system, further comprising: a display device field automobile, and connected to the embedded processing apparatus, for displaying the number of the target road section, said target road section automobiles number of road congestion and the target level.
 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。  More specifically, in the network congestion level recognition system, further comprising: electrical equipment, including solar-powered devices, lithium batteries, switch and voltage converter, the switch and the solar-powered devices and the said lithium battery are connected, to decide whether to switch to the solar power supply device, said voltage converter connected by a switch device of the solar-powered switching power supply in accordance with the remaining capacity of the lithium battery, by switching the switch to the input of 5V voltage to 3.3V.
 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。  More specifically, in the network congestion level recognition systems: the embedded processing equipment for the ARM11 processor.
附图说明 BRIEF DESCRIPTION
 以下将结合附图对本发明的实施方案进行描述，其中:  below with reference to embodiments of the present invention will be described, in which:
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。  Figure 1 shows the block diagram of the embodiment of the invention illustrating a congestion level of the network identification systems.
具体实施方式 detailed description
 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。  Referring to the drawings of the embodiments congestion level network identification system of the present invention will be described in detail.
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。  The current navigation device, which 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, for people to travel to bring inconvenience.
 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。  In order to overcome these shortcomings, the present invention is to build a network congestion level identification system, the captured image in the field and in the field combined with vehicle speed to judge each target real-time road congestion level weighted manner, so as to effectively solve the above problems.
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。  Figure 1 is a block diagram showing the embodiment of the invention shown in the congestion level of the network identification system, the system comprises a field identifying the image pickup device 1, the data receiving apparatus 2 automotive end and embedded processing device 3, the field automotive car terminal transmits real-time speed of the image receiving apparatus 1 receives the target road section is in communication via a network camera sending to the link on a solid image, the car terminal data received in the receiving apparatus 2 through the network communication target road section, said embedded processing apparatus 3 determines the target road section of road congestion level based on the field images and real-time speed of the car.
 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。  Next, the specific structure of the congestion level continues to identify the network system of the present invention will be further described.
 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。  The identification system further comprising: a haze concentration requesting device, connected to the GPS data query device for transmitting GPS data to the target link local weather monitoring platform, in order to monitor the local weather sections depending on the target platform GPS data to determine the concentration of the target sections haze.
 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。  The identification system further comprising: a haze concentration receiving apparatus for receiving the haze concentration of local meteorological monitoring platform return target segment.
 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。  The identification system further comprising: request receiving means for receiving the degree of congestion of the request target road section, the degree of congestion of the target road section included in the request identifying the target road section and the name of the requesting terminal, the request receiving the degree of congestion of the device resolution of the target section of the request to obtain the names and identifying the target road section requesting terminal.
 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。  removable hard disk for previously stored weight table, car ceiling gray threshold, auto limit gray threshold and nine congestion level threshold, the weight table in haze concentration index, save in determining road congestion field image data weight value and car terminal value level when the data weight, the greater the haze concentration, the smaller the field image data weight value, the larger the car terminal data weight value, the upper limit of the gray car threshold and the lower limit of the gray car threshold for image car and background, the nine congestion level threshold ascending uniform way to determine the value of the congestion level 10 range.
 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。  The identification system further includes: GPS data query device using cloud servers are implemented to link the name of the index, stored in advance the various sections of the GPS data, the GPS device and the data query request receiving device is connected, the target for the query link GPS data based on the name of the target road section.
 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。  The identification system further comprising: GPS data transmitting apparatus, a GPS device connected to the data query for the target road section is transmitted to the GPS data of the target road section at the target road section and the camera terminal automobiles, in order to target sections of the camera back target the link on the ground, facilitating the target road section at the end of the car to return to their real-time speed.
 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。  Field of the image receiving apparatus for receiving a camera at the target road section to return the link on the target field picture, including sub-devices wavelet filtering, edge enhancement child device, the sub-grayscale processing equipment, automotive equipment identifier and the microcontroller, receiving the said wavelet filter sub-sections of the image field device, the field of the image segment perform a filtering process based on Haar wavelet filter to obtain filtered image sections, and the subset of the edge enhancement wavelet child devices connected to the filter, for filtering the image segment perform edge enhancement processing to obtain enhanced road image, the gradation processing device and the child device is connected to an edge enhancer for enhancing the image segment perform gradation processing to obtain a grayscale image, the vehicle identification devices are connected to the sub-grayscale processing sub-device and the mobile hard disk, the gray-scale image gray value in the automotive and upper gray threshold identifying a pixel of the car between the lower threshold gray level and form a plurality of sub-images car, the microcontroller is connected to the device identifier of cars, the number of the plurality of sub-image as the car number of cars in the output target road section.
 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。  The car terminal 2 for receiving a data receiving device in the target section of the real-time speed car sent by the terminal.
 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。  The embedded processing apparatus 3 with the mobile hard disk, the haze concentration of the receiving device, the solid image receiving apparatus 1 and the car terminal data receiving apparatus 2 are connected, based on the concentration of the target sections haze Find the weighting lookup table to the car terminal data weight value of the corresponding field image data weight value and corresponding multiplies corresponding field image data weight value and the target section of the number of cars, the corresponding car terminal data weights and real-time speed multiplied by the reciprocal of the product of two phases to obtain the target value of the degree of congestion of roads, congestion in the value of the target road section falls 10 congestion level interval corresponding to a certain level interval level as the target road section the congestion level.
 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。  The identification system further comprising: a congestion degree of the transmission device, 3 are connected respectively to the request receiving device, and the embedded processing device, based on the request for the identifier of the terminal, the embedded processing device outputs target road section to the congestion level sent request identifies the terminal corresponding to the requesting terminal.
 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。  wherein the subset of wavelet filtering, edge enhancement sub-equipment, sub-gradation processing equipment, automotive equipment identifier using different types of FPGA chip to achieve a subset of wavelet filtering, edge enhancement child device, sub-grayscale processing equipment, automotive equipment identifier and the microcontroller are integrated in an integrated circuit board; when the embedded processing device 3 receives the degree of congestion in the receiving device sends the requesting target road section, which will be said GPS data query device, the GPS data transmission device, the haze concentration requesting device, the haze concentration of the receiving device, the solid image receiving apparatus 1 and the car terminal data receiving apparatus 2 from the power saving mode start, when the embedded processing device 3 in the transmission section of the target congestion level to control the GPS data to query the device, the GPS data transmission device, the haze concentration requesting device, the haze concentration of the receiving device, field 1 of the image pickup device and the data receiving apparatus 2 car terminal enters the power saving mode.
 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。  Alternatively, the single-chip microcontrollers; the congestion level network identification system further comprising: a display device, and the embedded processing apparatus 3, and the number of cars used in the field to display the target road section, the target section of the target number of cars and road congestion level; the network congestion level recognition system further comprises: electrical equipment, including solar-powered devices, lithium batteries, switch and voltage converter, the switch and the said the lithium battery and solar powered devices are connected, decide whether to switch to the solar-powered device to the switching device by the solar power supply, the voltage converter is connected to the switch according to the lithium battery charge remaining, to through the switch input of 5V to 3.3V voltage; and, the embedded processing apparatus 3 ARM11 processor.
 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。  In addition, FPGA (Field - Programmable Gate Array), namely, field programmable gate arrays, he is based on PAL, GAL, CPLD and other programmable devices on the further development of the product. 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 as application specific integrated circuit (ASIC) in a field of semi-custom circuits arise not only solve the shortage of custom circuits, and programmable devices to overcome the existing limited number of gates shortcomings.
 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。  In the circuit hardware description languages (Verilog or VHDL) completed, it can be subjected to a simple synthesis and layout, fast burning to the FPGA test technology is the mainstream of modern 1C 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 editable elements can be used to implement some of the basic logic gates (such as AND, OR, XOR, NOT) or more complex combinational functions such as decoders or mathematical equations. 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。 In most FPGA inside, these elements can be edited in memory also includes elements such as flip-flops (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。 System designers can be connected to an editable internal FPGA logic blocks connected as needed, just like a circuit board is placed in a test 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。 Finished FPGA logic blocks, and connections can be changed according to a designer after the factory, it is possible to complete the required FPGA logic functions.
 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。  FPGA- general, than the ASIC (Application Specific Integrated Circuit) slower to achieve the same function circuit area larger than ASIC. 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 many advantages such as fast finished, it can be modified to correct errors in the program and 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 of 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 these are developed and designed on a common FPGA to complete, and then transferred to a similar design on ASIC chips. 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, complex programmable logic devices). 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 traditional PC, microcontroller development 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。 FPGA-based parallel computing, in order to achieve a hardware description language; compared with PC or microcontroller (whether or von Neumann architecture Harvard architecture), sequential operation is very different.
 早在1980年代中期，FPGA已经在PLD设备中扎根。  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 include a relatively large number of programmable logic unit. 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 densities of between a few thousand to tens of thousands of logic cells, and FPGA usually tens of thousands to several million. 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 restrictive 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。 The result of this configuration can be edited by one or more of the logical group and the number of columns and a relatively small amount of locked 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 are advantages of a high rate of latency can be expected on the connection unit and logic unit. 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 have a lot of units, so that though so he can be more flexible editing, but the structure is more complicated.
 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。  The present invention network congestion level recognition system for prior art single factor road congestion degree detection mode test results accuracy is not high technical problem, field and field vehicle speed captured image by a weighted combination of the way, for each the degree of congestion of a road dividing the target level determination, so as to provide people with a more useful navigation data.
 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。  will be appreciated that, although the present invention has been disclosed in terms of preferred embodiments described above, but 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 anyone familiar with the skilled staff, without departing from the scope of the present invention aspect of the case, it can take advantage of the above-mentioned technical contents disclosed in the technical solutions of the present invention may make many variations and modifications, changes or modifications to be equivalent, etc. Example effect. 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。 Therefore, all without departing from the present invention, technical solutions, based on any simple modification of the technical spirit of the present invention is made to the above example embodiment, equivalent changes and modifications as would fall within the scope of the protection aspect of the invention.
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