WO2017133239A1 - 多功能交通路口电气控制柜 - Google Patents

多功能交通路口电气控制柜 Download PDF

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Publication number
WO2017133239A1
WO2017133239A1 PCT/CN2016/097906 CN2016097906W WO2017133239A1 WO 2017133239 A1 WO2017133239 A1 WO 2017133239A1 CN 2016097906 W CN2016097906 W CN 2016097906W WO 2017133239 A1 WO2017133239 A1 WO 2017133239A1
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Prior art keywords
image
cabinet
intersection
sub
disposed
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PCT/CN2016/097906
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English (en)
French (fr)
Inventor
李建尧
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李建尧
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Priority to CN201680035662.XA priority Critical patent/CN107710297B/zh
Publication of WO2017133239A1 publication Critical patent/WO2017133239A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20024—Filtering details
    • G06T2207/20032—Median filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30236—Traffic on road, railway or crossing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/30—Noise filtering

Definitions

  • the invention relates to the field of control cabinets, and in particular to a multifunctional control intersection electrical control cabinet.
  • Each bus fleet provides an instant departure frequency, which allows the frequency of the nearby fleet to match the number of on-site vehicles, thus maximizing the use of existing urban bus resources.
  • the present invention provides a multi-functional traffic intersection electrical control cabinet, which rebuilds the control cabinet at each traffic intersection in the prior art, and integrates multiple image processing devices to identify the number of people flow at the corresponding traffic intersection, and at the same time
  • the integrated wireless communication device determines the passenger flow index of the traffic intersection address based on the number of people flow. The more the number of people flow, the larger the passenger flow index of the traffic intersection address, and wirelessly transmits to the bus fleet management platform to which the nearby bus line belongs based on the traffic intersection address. The departure frequency corresponding to the passenger flow index.
  • a multi-functional traffic intersection electrical control cabinet includes a cabinet, a timer, a CCD image sensor, a main control device and a control cabinet communication interface, a timer, a CCD image sensor,
  • the main control device and the control cabinet communication interface are all set on the cabinet body, and the timer, the CCD image sensor and the main control device cooperate to determine the number of pedestrians at the traffic intersection, and the control cabinet communication interface is connected with the main control device for The departure control information of the bus line near the traffic intersection address is determined based on the number of pedestrians at the traffic intersection.
  • the electrical control cabinet of the multifunctional traffic intersection includes: a control cabinet main body, including a cabinet body, an exhaust vent hole, an air inlet hole, a grounding point, a control panel, an insulating bushing, a mounting bottom plate, and a plurality of a foot;
  • the cabinet has a stiffened plate and a rib;
  • the exhaust cooling hole is disposed above the cabinet, the air inlet is disposed below the cabinet;
  • the grounding point is disposed on the inner side wall of the cabinet, and the welding piece, the screw and the washer
  • the composition is used for connecting the grounding wire to the cabinet;
  • the control panel is disposed on the outer wall of the cabinet;
  • the plurality of legs are used for connecting the mounting base plate with the cabinet body, and the insulating bushing is disposed between the mounting bottom plate and the cabinet;
  • the timer set in the cabinet, used to output the time period of the current time and output as a real-time time period, the real-time time period is one of 24 time periods of the
  • the pedestrian grayscale picture is a grayscale picture including only the reference pedestrian contour, and the preset matching degree threshold is a percentage value less than 1;
  • the background selection device is set in the cabinet, and is respectively connected with the timer and the MMC card, based on the current time
  • the real-time time segment of the timer output searches for the corresponding reference time segment intersection image in the MMC card and outputs it as the target background image;
  • the image segmentation device is disposed in the cabinet and connected to the CCD image sensor, the MMC card and the background selection device respectively.
  • the CCD image sensor receives the high-definition intersection image of the current moment and the high-definition intersection image of the next second at the current moment, respectively, as the first high-definition intersection image and the second high-resolution intersection image, and reduces the gray value of each pixel of the first high-definition intersection image. Go to the gray value of the pixel corresponding to the position in the image of the second high-definition intersection and take the absolute value to obtain the first absolute value, and subtract the gray value of each pixel of the first high-resolution intersection image from the pixel of the corresponding position in the target background image.
  • the corresponding pixel of the first high-definition intersection image is determined as a motion pixel; otherwise, the corresponding pixel of the first high-definition intersection image is determined to be a still pixel, and the first high-definition An image composed of all moving pixels in the intersection image is output as a moving image, and the moving image is composed of one or more moving regions;
  • the image morphology processing device is disposed in the cabinet and connected with the image dividing device for receiving the moving image, and Each motion region is denoised to obtain a denoising sub-image, fills the internal cavity of the denoising sub-image and connects the breakpoint in the denoising sub-image to obtain an ortho-sub-image, and outputs one or more shaped sub-images; smoothing processing device The device is disposed in the cabinet and connected to the image morphology
  • a scale conversion enhancement device disposed in the cabinet, connected to the median filtering device, configured to perform scale transformation enhancement processing on the received median filter sub-image to obtain an enhanced sub-image
  • the grayscale processing device is disposed in the cabinet and connected with the scale conversion enhancement device, and is configured to perform grayscale processing on the received enhancer image to obtain a grayscale sub-image
  • the main control device is disposed in the cabinet body, The grayscale processing device and the MMC card are respectively connected, and each grayscale sub-image is matched with the reference pedestrian grayscale image.
  • the corresponding grayscale sub-image is Determined as the pedestrian sub-image, calculate the number of pedestrian sub-images and output as the number of pedestrians;
  • the control cabinet communication interface is set on the outer wall of the cabinet, and is connected with the main control device and the MMC card respectively to receive the number of pedestrians and the intersection address. Determining the passenger flow index of the traffic intersection address based on the number of pedestrians, and determining the departure density of the bus route near the traffic intersection address based on the passenger flow index.
  • the determined departure density is transmitted to the bus fleet management platform of the bus line near the traffic intersection address via the wireless communication link; wherein the control cabinet communication interface includes the computing device and the GPRS communication interface, the computing device and the main control
  • the device and the MMC card are respectively connected to receive the pedestrian number and the traffic intersection address, and determine the passenger flow index of the traffic intersection address based on the number of pedestrians, and determine the departure density of the bus line near the traffic intersection address based on the passenger flow index, and the GPRS communication interface and operation
  • the device connection is used to send the determined departure density to the bus fleet management platform to which the bus line is located near the traffic intersection address via the wireless communication link based on the traffic intersection address.
  • control panel is a liquid crystal display panel including a touch screen.
  • the cabinet body is a cold rolled steel plate having a thickness of 1.5 mm.
  • FIG. 1 is a block diagram showing the structure of a multi-function traffic junction electrical control cabinet according to an embodiment of the present invention.
  • FIG. 2 is a block diagram showing the structure of a control cabinet communication interface of a multi-function traffic intersection electrical control cabinet according to an embodiment of the present invention.
  • Bus is an important means of transportation for urban traffic, bringing convenience to urban residents.
  • the idling is what they do not want to see.
  • the residents are not likely to see the car, so how to reduce the dead time and avoid too many people.
  • the occurrence of waiting for the car is one of the problems that the bus fleet and the municipal traffic control department need to solve.
  • the bus fleet In the prior art, the bus fleet generally relies on historical experience to judge the number of people in each traffic section at each time period to select the frequency of departure. However, the number of people on the traffic section changes in real time, which may be quite different from historical experience. In this way, it is easy to cause a lot of traffic on the road section, many buses stop operating, delay the residents to ride, or when there are few people on the traffic section, many buses get together. , causing most of the buses to be idling.
  • the present invention constructs a multi-functional traffic intersection electrical control cabinet, which can establish a data collection platform for each traffic section, accurately collects the real-time flow number of the traffic intersection, and based on the real-time flow number for the nearby bus.
  • the operation of the fleet provides a reference to integrate urban bus resources and provide convenience for urban residents as much as possible.
  • the present invention constructs a multi-functional traffic junction electrical control cabinet, improves the main structure of the robot so that it can be adapted to the transmission line field environment, and designs a targeted capacitive inductive ice layer sensor to perform on-site wire ice layer. Accurate detection and introduction of wireless transmission technology to ensure smooth communication between field devices and between the field and the remote.
  • FIG. 1 is a block diagram showing the structure of a multi-function traffic intersection electrical control cabinet including a cabinet, a timer, a CCD image sensor, a main control device, and a control cabinet communication interface, a timer, and a CCD according to an embodiment of the present invention.
  • the image sensor, the main control device and the control cabinet communication interface are all arranged on the cabinet.
  • the timer, the CCD image sensor and the main control device cooperate to determine the number of pedestrians at the traffic intersection, and the communication interface of the control cabinet is connected with the main control device. For determining the departure control information of the bus line near the traffic intersection address based on the number of pedestrians at the traffic intersection.
  • the control cabinet comprises: a control cabinet body, including a cabinet body, an exhaust heat dissipation hole, an air inlet hole, a grounding point, a control panel, an insulating bushing, a mounting bottom plate and a plurality of legs.
  • the cabinet has a stiffened plate and a rib; the exhaust cooling hole is arranged above the cabinet, and the air inlet is arranged under the cabinet
  • the grounding point is disposed on the inner side wall of the cabinet and is composed of a welding piece, a screw and a washer for connecting the grounding wire to the cabinet.
  • the control panel is disposed on the outer wall of the cabinet; a plurality of legs are used to connect the mounting base plate with the cabinet body, and the insulating bushing is disposed between the mounting bottom plate and the cabinet body.
  • the control cabinet includes a timer disposed in the cabinet for outputting a time period in which the current time is located and outputting as a real-time time period, and the real-time time period is one of 24 time periods of the day.
  • the control cabinet comprises: a CCD image sensor disposed on the outer wall of the cabinet for photographing the traffic intersection to obtain an intersection image.
  • the control cabinet includes: an MMC card, which is disposed in the cabinet for pre-storing intersection image of 24 reference time segments, each intersection time segment intersection image corresponding to a time period, and each reference time segment intersection image is in a corresponding time period
  • the CCD image sensor is used to pre-shoot the image of the traffic intersection without any pedestrian state.
  • the MMC card is also used to pre-store the traffic intersection address, the first binarization threshold, the second binarization threshold, and the reference pedestrian grayscale.
  • the image and the preset matching threshold are used.
  • the reference pedestrian grayscale image is a grayscale image including only the reference pedestrian contour, and the preset matching degree threshold is a percentage value less than 1.
  • the control cabinet includes: a background selection device, is disposed in the cabinet, and is respectively connected with the timer and the MMC card, and searches for the corresponding reference time segment intersection image in the MMC card based on the real-time time period output by the current time timer as the target background. Image output.
  • the control cabinet comprises: an image segmentation device, which is arranged in the cabinet body, and is respectively connected with the CCD image sensor, the MMC card and the background selection device, and receives the HD intersection image of the current moment and the HD intersection image of the current second moment by the CCD image sensor.
  • the gray value of each pixel of the first high-definition intersection image is subtracted from the gray value of the corresponding position in the second high-resolution intersection image and the absolute value is taken as Obtaining a first absolute value, subtracting a gray value of each pixel of the first high-definition intersection image from a gray value of a pixel corresponding to the position in the target background image, and taking an absolute value to obtain a second absolute value, when the first absolute value
  • the second binarization threshold is greater than or equal to and the second absolute value is greater than or equal to the second binarization threshold
  • the corresponding pixel of the first high-definition intersection image is determined as a motion pixel; otherwise, the corresponding pixel of the first HD intersection image is determined as a still pixel, which outputs an image composed of all moving pixels in the first high-definition intersection image as a moving image, and the moving image is composed of one or more Sports regions.
  • the control cabinet includes: an image morphology processing device, disposed in the cabinet, connected to the image segmentation device, configured to receive a moving image, and perform denoising processing on each motion region to obtain a denoising sub-image to fill the denoising sub-pixel
  • the image is internally hollowed and connected to a breakpoint in the denoising sub-image to obtain an orthomorphic sub-image, and one or more shaped sub-images are output.
  • the control cabinet includes: a smoothing processing device, disposed in the cabinet, and connected to the image morphology processing device, configured to perform smoothing processing on each of the received shaped sub-images to obtain a smooth sub-image.
  • the control cabinet includes: a median filtering device, disposed in the cabinet, and connected to the smoothing processing device, configured to perform median filtering processing on the received smooth sub-image to filter out scattering components in the smooth sub-image, and obtain Median filter sub-image.
  • a median filtering device disposed in the cabinet, and connected to the smoothing processing device, configured to perform median filtering processing on the received smooth sub-image to filter out scattering components in the smooth sub-image, and obtain Median filter sub-image.
  • the control cabinet includes: a scale conversion enhancement device, is disposed in the cabinet, and is connected to the median filtering device, and is configured to perform scale transformation enhancement processing on the received median filter sub-image to obtain an enhanced sub-image;
  • the device is disposed in the cabinet and connected to the scale conversion enhancement device for performing grayscale processing on the received enhancement sub-image to obtain a grayscale sub-image.
  • the control cabinet includes: a main control device, which is disposed in the cabinet, and is respectively connected with the grayscale processing device and the MMC card, and matches each grayscale sub-image with the reference pedestrian grayscale image, when the matching degree is greater than or equal Preset match threshold At the time of the value, the corresponding grayscale sub-image is determined as the pedestrian sub-image, and the number of the pedestrian sub-images is calculated and output as the number of pedestrians.
  • the control cabinet comprises: a control cabinet communication interface, is disposed on the outer wall of the cabinet, is respectively connected with the main control device and the MMC card, receives the number of pedestrians and the intersection address, and determines the passenger flow index of the intersection address based on the number of pedestrians, based on the passenger flow The index determines the departure density of the bus line near the traffic intersection address, and transmits the determined departure density based on the traffic intersection address to the bus fleet management platform to which the bus line is located near the traffic intersection address via the wireless communication link.
  • the communication interface of the control cabinet includes an arithmetic device and a GPRS communication interface
  • the computing device is respectively connected with the main control device and the MMC card, and is used for receiving the number of pedestrians and the intersection address, and determining the passenger flow of the intersection address based on the number of pedestrians.
  • the GPRS communication interface is connected with the computing device, and is used to send the determined departure density based on the traffic intersection address to the bus near the traffic intersection address through the wireless communication link.
  • the bus fleet management platform to which the line belongs.
  • the control panel is a liquid crystal display panel including a touch screen; the more pedestrians, the larger the passenger flow index of the traffic intersection address, and the departure density of the bus line near the traffic intersection address. The more frequent; the cabinet is made of cold-rolled steel with a thickness of 1.5 mm; and the MMC card can be replaced by the built-in memory of the main control device.
  • GPRS General Packet Radio Service
  • GSM Global System for Mobile Communications
  • GPRS can be said to be a continuation of GSM.
  • GPRS is different from the previous method of continuously transmitting channels. It is transmitted in a packet type. Therefore, the user's cost is calculated based on the unit of transmission data, and the entire channel is not used, which is theoretically cheaper.
  • the transmission rate of GPRS can be increased to 56 or even 114Kbps.
  • GPRS is often described as "2.5G", which means that the technology is between the second generation (2G) and third generation (3G) mobile communication technologies. He provides medium speed data transfer by utilizing unused TDMA channels in the GSM network. GPRS breaks through the GSM network can only provide circuit switching thinking mode, only by adding corresponding functional entities and partial transformation of the existing base station system to achieve packet switching, the investment of this transformation is relatively small, but get The user data rate is quite impressive. Moreover, because the mediation converters required by current wireless applications are no longer needed, connectivity and transmission are more convenient and easy. In this way, users can access the Internet, participate in interactive communication such as video conferencing, and users on the same video network (VRN) can even continue to connect to the network without dial-up.
  • 2G second generation
  • 3G third generation
  • packet switched communication mode data is divided into packets (packets) of a certain length, and each packet is preceded by a packet header (where the address flag indicates where the packet is sent). It is not necessary to pre-allocate channels before data transfer to establish a connection. Instead, each data packet arrives, and based on the information in the data header (such as the destination address), temporarily find an available channel resource to send the datagram.
  • this transmission mode there is no fixed occupation relationship between the transmitting and receiving channels of the data, and the channel resources can be regarded as shared by all users. Since data services exhibit a sudden business characteristic in most cases, the demand for channel bandwidth varies greatly, so packet transmission for data transmission will make better use of channel resources. For example, a user who performs WWW browsing is browsing most of the time, and the time actually used for data transfer is only a small percentage. In this case, if a fixed channel is used, a large amount of resources will be wasted.
  • the utility model adopts the multifunctional control intersection electric control cabinet of the invention, and the prior art cannot provide the bus fleet with the technical problem of controlling the departure frequency based on the instant passenger flow information of the traffic intersection, and transforms the control cabinet of the existing traffic intersection as the control cabinet Data acquisition and data communication control platform to provide accurate real-time passenger flow index of traffic intersections
  • One step is to provide the corresponding frequency of departure for each team in the vicinity, so as to provide the city residents with convenient bus services while ensuring the economic benefits of the team.

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Abstract

一种多功能交通路口电气控制柜，包括柜体（1）、计时器（2）、CCD图像传感器（3）、主控设备（4）和控制柜通信接口（5），计时器（2）、CCD图像传感器（3）、主控设备（4）和控制柜通信接口（5）都设置在柜体（1）上，计时器（2）、CCD图像传感器（3）和主控设备（4）协同操作，用于确定交通路口处的行人数量，控制柜通信接口（5）与主控设备（4）连接，用于基于交通路口处的行人数量确定交通路口地址附近公交车线路的发车控制信息。该控制柜能够为城市内各个公交车车队提供更实时更准确的发车控制信息。

Description

多功能交通路口电气控制柜 技术领域
本发明涉及控制柜领域，尤其涉及一种多功能交通路口电气控制柜。
背景技术
目前，尚不存在交通路段行人数据的采集平台，也没有基于行人数据确定客流指数的分析机制，更没有基于客流指数现场无线发送给附近公交车车队以控制其发车频率的无线通信设备。这样的无线通信设备一般希望设置在现场，以保证数据的实时性和准确性，然而对于各个交通路口来说，公共设备本身就不少，以及除了行人、车辆通行空间之外，剩余的空间非常有限，在每一个交通路口处新增一套数据采集以及数据通信设备，不太现实。
因此，需要一种多功能交通路口电气控制柜，能够利用现有的交通路口的控制柜，对其进行改造以增加现场数据采集设备和现场数据通信设备，确定交通路口附近的客流指数，为附近各个公交车车队提供即时的发车频率，使得附近车队发车频率与现场等车人数相适应，从而最大程度地利用现有的城市公交资源。
发明内容
为了解决上述问题，本发明提供了一种多功能交通路口电气控制柜，改造现有技术中各个交通路口处的控制柜，集成多个图像处理设备以识别出对应交通路口处的人流数量，同时集成无线通信设备以基于人流数量确定交通路口地址的客流指数，人流数量越多，交通路口地址的客流指数越大，并基于交通路口地址向附近公交车线路归属的公交车车队管理平台无线发送与客流指数对应的发车频率。
根据本发明的一方面，提供了一种多功能交通路口电气控制柜，所述控制柜包括柜体、计时器、CCD图像传感器、主控设备和控制柜通信接口，计时器、CCD图像传感器、主控设备和控制柜通信接口都设置在柜体上，计时器、CCD图像传感器和主控设备协同操作，用于确定交通路口处的行人数量，控制柜通信接口与主控设备连接，用于基于交通路口处的行人数量确定交通路口地址附近公交车线路的发车控制信息。
更具体地，在所述多功能交通路口电气控制柜中，包括：控制柜主体，包括柜体、排气散热孔、进气孔、接地点、控制面板、绝缘衬套、安装底板和多个支脚；柜体具有加筋板和肋板；排气散热孔设置在柜体的上方，进气孔设置在柜体的下方；接地点设置在柜体的内侧壁，由焊片、螺钉和垫圈组成，用于将接地线与柜体连接；控制面板设置在柜体外侧壁上；多个支脚用于将安装底板与柜体连接，绝缘衬套设置在安装底板与柜体之间；计时器，设置在柜体内，用于输出当前时刻所在的时间段并作为实时时间段输出，实时时间段为一天24个时间段之一；CCD图像传感器，设置在柜体外侧壁上，用于对交通路口进行拍摄，以获得路口图像；MMC卡，设置在柜体内，用于预先存储24个基准时间段路口图像，每一个基准时间段路口图像对应一个时间段，每一个基准时间段路口图像为在对应时间段下CCD图像传感器对交通路口在无任何行人状态下进行预先拍摄所获得的图像，MMC卡还用于预先存储交通路口地址、第一二值化阈值、第二二值化阈值、基准行人灰度化图片和预设匹配度阈值，基准 行人灰度化图片为只包括基准行人轮廓的灰度化图片，预设匹配度阈值为小于1的百分比数值；背景选择设备，设置在柜体内，与计时器和MMC卡分别连接，基于当前时刻计时器输出的实时时间段在MMC卡中寻找对应的基准时间段路口图像并作为目标背景图像输出；图像分割设备，设置在柜体内，与CCD图像传感器、MMC卡和背景选择设备分别连接，通过CCD图像传感器接收当前时刻的高清路口图像和当前时刻下一秒的高清路口图像，分别作为第一高清路口图像和第二高清路口图像，将第一高清路口图像的每一个像素的灰度值减去第二高清路口图像中对应位置的像素的灰度值并取绝对值以获得第一绝对值，将第一高清路口图像的每一个像素的灰度值减去目标背景图像中对应位置的像素的灰度值并取绝对值以获得第二绝对值，当第一绝对值大于等于第一二值化阈值且第二绝对值大于等于第二二值化阈值时，第一高清路口图像的对应像素被确定为运动像素，否则，第一高清路口图像的对应像素被确定为静止像素，将第一高清路口图像中所有运动像素组成的图像作为运动图像输出，运动图像由一个或多个运动区域组成；图像形态学处理设备，设置在柜体内，与图像分割设备连接，用于接收运动图像，并对每一个运动区域进行去噪处理以获得去噪子图像，填补去噪子图像内部空洞并连接去噪子图像内的断点以获得整形子图像，输出一个或多个整形子图像；平滑处理设备，设置在柜体内，与图像形态学处理设备连接，用于对接收到的每一个整形子图像进行平滑处理，以获得平滑子图像；中值滤波设备，设置在柜体内，与平滑处理设备连接，用于对接收到的平滑子图像执行中值滤波处理，以滤除在平滑子图像中的散射成分，获得中值滤波子图像；尺度变换增强设备，设置在柜体内，与中值滤波设备连接，用于对接收到的中值滤波子图像执行尺度变换增强处理，以获得增强子图像；灰度化处理设备，设置在柜体内，与尺度变换增强设备连接，用于对接收到的增强子图像进行灰度化处理，以获得灰度化子图像；主控设备，设置在柜体内，与灰度化处理设备和MMC卡分别连接，将每一个灰度化子图像与基准行人灰度化图片进行匹配，当匹配度大于等于预设匹配度阈值时，对应的灰度化子图像被确定为行人子图像，计算行人子图像的个数并作为行人数量输出；控制柜通信接口，设置在柜体外侧壁上，与主控设备和MMC卡分别连接，接收行人数量和交通路口地址，基于行人数量确定交通路口地址的客流指数，基于客流指数确定交通路口地址附近公交车线路的发车密度，并基于交通路口地址将确定的发车密度通过无线通信链路发送给交通路口地址附近公交车线路归属的公交车车队管理平台；其中，控制柜通信接口包括运算设备和GPRS通信接口，运算设备与主控设备和MMC卡分别连接，用于接收行人数量和交通路口地址，并基于行人数量确定交通路口地址的客流指数，并基于客流指数确定交通路口地址附近公交车线路的发车密度，GPRS通信接口与运算设备连接，用于基于交通路口地址将确定的发车密度通过无线通信链路发送给交通路口地址附近公交车线路归属的公交车车队管理平台。
更具体地，在所述多功能交通路口电气控制柜中：控制面板为包括触摸屏的液晶显示面板。
更具体地，在所述多功能交通路口电气控制柜中：行人数量越多，交通路口地址的客流指数越大，交通路口地址附近公交车线路的发车密度越频繁。
更具体地，在所述多功能交通路口电气控制柜中：柜体采用厚度为1.5毫米的冷轧钢板。
更具体地，在所述多功能交通路口电气控制柜中：采用主控设备内置存储器替换 MMC卡。
附图说明
以下将结合附图对本发明的实施方案进行描述，其中：
图1为根据本发明实施方案示出的多功能交通路口电气控制柜的结构方框图。
图2为根据本发明实施方案示出的多功能交通路口电气控制柜的控制柜通信接口的结构方框图。
附图标记：1柜体；2计时器；3CCD图像传感器；4主控设备；5控制柜通信接口；6运算设备；7GPRS通信接口
具体实施方式
下面将参照附图对本发明的多功能交通路口电气控制柜的实施方案进行详细说明。
公交车是城市交通重要的代步工具，给城市居民带来了出行方便。然而，对于公交车车队来说，空载是他们不愿意看到的，对市政交管部门来说，居民等车难也不是他们所愿意看到的，因此如何减少空载时间并避免过多人等车情况的发生，是公交车车队和市政交管部门需要解决的难题之一。
现有技术中，公交车车队一般凭借历史经验来判断各个交通路段在各个时间段的人流数量，以自行选择发车频率。然而，交通路段的人流数量是实时变化的，与历史经验有可能大相径庭，这样，容易导致交通路段人多时，很多公交车停止运营，耽误了居民乘车，或者交通路段人少时，很多公交车扎堆，导致大部分公交车空载的情况发生。
为了克服上述不足，本发明搭建了一种多功能交通路口电气控制柜，能够建立在各个交通路段的数据采集平台，对交通路口的实时人流数量进行准确采集，并基于实时人流数量为附近公交车车队的运营提供参考，从而整合城市公交车资源，尽可能地为城市居民的出行提供方便。
为了克服上述不足，本发明搭建了一种多功能交通路口电气控制柜，改善机器人的主体架构使其能够适合输电线路现场环境，设计有针对性的电容感应式冰层传感器对现场导线冰层进行准确检测，并引入无线传输技术保障现场设备之间以及现场与远端之间的通信畅通。
图1为根据本发明实施方案示出的多功能交通路口电气控制柜的结构方框图，所述控制柜包括柜体、计时器、CCD图像传感器、主控设备和控制柜通信接口，计时器、CCD图像传感器、主控设备和控制柜通信接口都设置在柜体上，计时器、CCD图像传感器和主控设备协同操作，用于确定交通路口处的行人数量，控制柜通信接口与主控设备连接，用于基于交通路口处的行人数量确定交通路口地址附近公交车线路的发车控制信息。
接着，继续对本发明的多功能交通路口电气控制柜的具体结构进行进一步的说明。
所述控制柜包括：控制柜主体，包括柜体、排气散热孔、进气孔、接地点、控制面板、绝缘衬套、安装底板和多个支脚。
柜体具有加筋板和肋板；排气散热孔设置在柜体的上方，进气孔设置在柜体的下 方；接地点设置在柜体的内侧壁，由焊片、螺钉和垫圈组成，用于将接地线与柜体连接。
控制面板设置在柜体外侧壁上；多个支脚用于将安装底板与柜体连接，绝缘衬套设置在安装底板与柜体之间。
所述控制柜包括：计时器，设置在柜体内，用于输出当前时刻所在的时间段并作为实时时间段输出，实时时间段为一天24个时间段之一。
所述控制柜包括：CCD图像传感器，设置在柜体外侧壁上，用于对交通路口进行拍摄，以获得路口图像。
所述控制柜包括：MMC卡，设置在柜体内，用于预先存储24个基准时间段路口图像，每一个基准时间段路口图像对应一个时间段，每一个基准时间段路口图像为在对应时间段下CCD图像传感器对交通路口在无任何行人状态下进行预先拍摄所获得的图像，MMC卡还用于预先存储交通路口地址、第一二值化阈值、第二二值化阈值、基准行人灰度化图片和预设匹配度阈值，基准行人灰度化图片为只包括基准行人轮廓的灰度化图片，预设匹配度阈值为小于1的百分比数值。
所述控制柜包括：背景选择设备，设置在柜体内，与计时器和MMC卡分别连接，基于当前时刻计时器输出的实时时间段在MMC卡中寻找对应的基准时间段路口图像并作为目标背景图像输出。
所述控制柜包括：图像分割设备，设置在柜体内，与CCD图像传感器、MMC卡和背景选择设备分别连接，通过CCD图像传感器接收当前时刻的高清路口图像和当前时刻下一秒的高清路口图像，分别作为第一高清路口图像和第二高清路口图像，将第一高清路口图像的每一个像素的灰度值减去第二高清路口图像中对应位置的像素的灰度值并取绝对值以获得第一绝对值，将第一高清路口图像的每一个像素的灰度值减去目标背景图像中对应位置的像素的灰度值并取绝对值以获得第二绝对值，当第一绝对值大于等于第一二值化阈值且第二绝对值大于等于第二二值化阈值时，第一高清路口图像的对应像素被确定为运动像素，否则，第一高清路口图像的对应像素被确定为静止像素，将第一高清路口图像中所有运动像素组成的图像作为运动图像输出，运动图像由一个或多个运动区域组成。
所述控制柜包括：图像形态学处理设备，设置在柜体内，与图像分割设备连接，用于接收运动图像，并对每一个运动区域进行去噪处理以获得去噪子图像，填补去噪子图像内部空洞并连接去噪子图像内的断点以获得整形子图像，输出一个或多个整形子图像。
所述控制柜包括：平滑处理设备，设置在柜体内，与图像形态学处理设备连接，用于对接收到的每一个整形子图像进行平滑处理，以获得平滑子图像。
所述控制柜包括：中值滤波设备，设置在柜体内，与平滑处理设备连接，用于对接收到的平滑子图像执行中值滤波处理，以滤除在平滑子图像中的散射成分，获得中值滤波子图像。
所述控制柜包括：尺度变换增强设备，设置在柜体内，与中值滤波设备连接，用于对接收到的中值滤波子图像执行尺度变换增强处理，以获得增强子图像；灰度化处理设备，设置在柜体内，与尺度变换增强设备连接，用于对接收到的增强子图像进行灰度化处理，以获得灰度化子图像。
所述控制柜包括：主控设备，设置在柜体内，与灰度化处理设备和MMC卡分别连接，将每一个灰度化子图像与基准行人灰度化图片进行匹配，当匹配度大于等于预设匹配度阈 值时，对应的灰度化子图像被确定为行人子图像，计算行人子图像的个数并作为行人数量输出。
所述控制柜包括：控制柜通信接口，设置在柜体外侧壁上，与主控设备和MMC卡分别连接，接收行人数量和交通路口地址，基于行人数量确定交通路口地址的客流指数，基于客流指数确定交通路口地址附近公交车线路的发车密度，并基于交通路口地址将确定的发车密度通过无线通信链路发送给交通路口地址附近公交车线路归属的公交车车队管理平台。
如图2所示，控制柜通信接口包括运算设备和GPRS通信接口，运算设备与主控设备和MMC卡分别连接，用于接收行人数量和交通路口地址，并基于行人数量确定交通路口地址的客流指数，并基于客流指数确定交通路口地址附近公交车线路的发车密度，GPRS通信接口与运算设备连接，用于基于交通路口地址将确定的发车密度通过无线通信链路发送给交通路口地址附近公交车线路归属的公交车车队管理平台。
可选地，在所述多功能交通路口电气控制柜中：控制面板为包括触摸屏的液晶显示面板；行人数量越多，交通路口地址的客流指数越大，交通路口地址附近公交车线路的发车密度越频繁；柜体采用厚度为1.5毫米的冷轧钢板；以及可采用主控设备内置存储器替换MMC卡。
另外，通用分组无线服务技术(General Packet Radio Service)的简称，他是GSM移动电话用户可用的一种移动数据业务。GPRS可说是GSM的延续。GPRS和以往连续在频道传输的方式不同，是以封包(Packet)式来传输，因此使用者所负担的费用是以其传输资料单位计算，并非使用其整个频道，理论上较为便宜。GPRS的传输速率可提升至56甚至114Kbps。
GPRS经常被描述成“2.5G”，也就是说这项技术位于第二代(2G)和第三代(3G)移动通讯技术之间。他通过利用GSM网络中未使用的TDMA信道，提供中速的数据传递。GPRS突破了GSM网只能提供电路交换的思维方式，只通过增加相应的功能实体和对现有的基站系统进行部分改造来实现分组交换，这种改造的投入相对来说并不大，但得到的用户数据速率却相当可观。而且，因为不再需要现行无线应用所需要的中介转换器，所以连接及传输都会更方便容易。如此，使用者既可联机上网，参加视讯会议等互动传播，而且在同一个视讯网络上(VRN)的使用者，甚至可以无需通过拨号上网，而持续与网络连接。
GPRS分组交换的通信方式在分组交换的通信方式中，数据被分成一定长度的包(分组)，每个包的前面有一个分组头(其中的地址标志指明该分组发往何处)。数据传送之前并不需要预先分配信道，建立连接。而是在每一个数据包到达时，根据数据报头中的信息(如目的地址)，临时寻找一个可用的信道资源将该数据报发送出去。在这种传送方式中，数据的发送和接收方同信道之间没有固定的占用关系，信道资源可以看作是由所有的用户共享使用。由于数据业务在绝大多数情况下都表现出一种突发性的业务特点，对信道带宽的需求变化较大，因此采用分组方式进行数据传送将能够更好地利用信道资源。例如一个进行WWW浏览的用户，大部分时间处于浏览状态，而真正用于数据传送的时间只占很小比例。这种情况下若采用固定占用信道的方式，将会造成较大的资源浪费。
采用本发明的多功能交通路口电气控制柜，针对现有技术无法为公交车车队提供基于交通路口即时客流信息进行发车频率控制的技术问题，通过改造现有的交通路口的控制柜，将其作为数据采集和数据通信控制平台，提供交通路口的准确的实时客流指数，并进 一步为附近各个车队提供相应的发车频率，从而在保证车队经济利益的同时，为城市居民提供方便的公交服务。
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。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。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。

Claims (6)

  1. 一种多功能交通路口电气控制柜，所述控制柜包括柜体、计时器、CCD图像传感器、主控设备和控制柜通信接口，计时器、CCD图像传感器、主控设备和控制柜通信接口都设置在柜体上，计时器、CCD图像传感器和主控设备协同操作，用于确定交通路口处的行人数量，控制柜通信接口与主控设备连接，用于基于交通路口处的行人数量确定交通路口地址附近公交车线路的发车控制信息。
  2. 如权利要求1所述的多功能交通路口电气控制柜，其特征在于，所述控制柜包括：
    控制柜主体，包括柜体、排气散热孔、进气孔、接地点、控制面板、绝缘衬套、安装底板和多个支脚；
    柜体具有加筋板和肋板；
    排气散热孔设置在柜体的上方，进气孔设置在柜体的下方；
    接地点设置在柜体的内侧壁，由焊片、螺钉和垫圈组成，用于将接地线与柜体连接；
    控制面板设置在柜体外侧壁上；
    多个支脚用于将安装底板与柜体连接，绝缘衬套设置在安装底板与柜体之间；
    计时器，设置在柜体内，用于输出当前时刻所在的时间段并作为实时时间段输出，实时时间段为一天24个时间段之一；
    CCD图像传感器，设置在柜体外侧壁上，用于对交通路口进行拍摄，以获得路口图像；
    MMC卡，设置在柜体内，用于预先存储24个基准时间段路口图像，每一个基准时间段路口图像对应一个时间段，每一个基准时间段路口图像为在对应时间段下CCD图像传感器对交通路口在无任何行人状态下进行预先拍摄所获得的图像，MMC卡还用于预先存储交通路口地址、第一二值化阈值、第二二值化阈值、基准行人灰度化图片和预设匹配度阈值，基准行人灰度化图片为只包括基准行人轮廓的灰度化图片，预设匹配度阈值为小于1的百分比数值；
    背景选择设备，设置在柜体内，与计时器和MMC卡分别连接，基于当前时刻计时器输出的实时时间段在MMC卡中寻找对应的基准时间段路口图像并作为目标背景图像输出；
    图像分割设备，设置在柜体内，与CCD图像传感器、MMC卡和背景选择设备分别连接，通过CCD图像传感器接收当前时刻的高清路口图像和当前时刻下一秒的高清路口图像，分别作为第一高清路口图像和第二高清路口图像，将第一高清路口图像的每一个像素的灰度值减去第二高清路口图像中对应位置的像素的灰度值并取绝对值以获得第一绝对值，将第一高清路口图像的每一个像素的灰度值减去目标背景图像中对应位置的像素的灰度值并取绝对值以获得第二绝对值，当第一绝对值大于等于第一二值化阈值且第二绝对值大于等于第二二值化阈值时，第一高清路口图像的对应像素被确定为运动像素，否则，第一高清路口图像的对应像素被确定为静止像素，将第一高清路口图像中所有运动像素组成的图像作为运动图像输出，运动图像由一个或多个运动区域组成；
    图像形态学处理设备，设置在柜体内，与图像分割设备连接，用于接收运动图像，并对每一个运动区域进行去噪处理以获得去噪子图像，填补去噪子图像内部空洞并连接去噪子图像内的断点以获得整形子图像，输出一个或多个整形子图像；
    平滑处理设备，设置在柜体内，与图像形态学处理设备连接，用于对接收到的每一个整形子图像进行平滑处理，以获得平滑子图像；
    中值滤波设备，设置在柜体内，与平滑处理设备连接，用于对接收到的平滑子图像执行 中值滤波处理，以滤除在平滑子图像中的散射成分，获得中值滤波子图像；
    尺度变换增强设备，设置在柜体内，与中值滤波设备连接，用于对接收到的中值滤波子图像执行尺度变换增强处理，以获得增强子图像；
    灰度化处理设备，设置在柜体内，与尺度变换增强设备连接，用于对接收到的增强子图像进行灰度化处理，以获得灰度化子图像；
    主控设备，设置在柜体内，与灰度化处理设备和MMC卡分别连接，将每一个灰度化子图像与基准行人灰度化图片进行匹配，当匹配度大于等于预设匹配度阈值时，对应的灰度化子图像被确定为行人子图像，计算行人子图像的个数并作为行人数量输出；
    控制柜通信接口，设置在柜体外侧壁上，与主控设备和MMC卡分别连接，接收行人数量和交通路口地址，基于行人数量确定交通路口地址的客流指数，基于客流指数确定交通路口地址附近公交车线路的发车密度，并基于交通路口地址将确定的发车密度通过无线通信链路发送给交通路口地址附近公交车线路归属的公交车车队管理平台；
    其中，控制柜通信接口包括运算设备和GPRS通信接口，运算设备与主控设备和MMC卡分别连接，用于接收行人数量和交通路口地址，并基于行人数量确定交通路口地址的客流指数，并基于客流指数确定交通路口地址附近公交车线路的发车密度，GPRS通信接口与运算设备连接，用于基于交通路口地址将确定的发车密度通过无线通信链路发送给交通路口地址附近公交车线路归属的公交车车队管理平台。
  3. 如权利要求2所述的多功能交通路口电气控制柜，其特征在于：
    控制面板为包括触摸屏的液晶显示面板。
  4. 如权利要求2所述的多功能交通路口电气控制柜，其特征在于：
    行人数量越多，交通路口地址的客流指数越大，交通路口地址附近公交车线路的发车密度越频繁。
  5. 如权利要求2所述的多功能交通路口电气控制柜，其特征在于：
    柜体采用厚度为1.5毫米的冷轧钢板。
  6. 如权利要求2所述的多功能交通路口电气控制柜，其特征在于：
    采用主控设备内置存储器替换MMC卡。
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