CN112102618A - Pedestrian number and vehicle number identification method based on edge calculation - Google Patents
Pedestrian number and vehicle number identification method based on edge calculation Download PDFInfo
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- CN112102618A CN112102618A CN202010958313.3A CN202010958313A CN112102618A CN 112102618 A CN112102618 A CN 112102618A CN 202010958313 A CN202010958313 A CN 202010958313A CN 112102618 A CN112102618 A CN 112102618A
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- 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
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- 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
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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- 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
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- 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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Traffic Control Systems (AREA)
Abstract
The invention discloses a pedestrian number and vehicle number identification method based on edge calculation, which comprises the following steps of: the method comprises the steps that a Road Side Unit (RSU) is arranged at the edge of a target road section, a Mobile Edge Computing (MEC) server connected with the Road Side Unit (RSU) is arranged in an electric cabinet, the Mobile Edge Computing (MEC) server is installed and arranged, the Road Side Unit (RSU) is in signal connection with the Mobile Edge Computing (MEC) server, an intelligent identification module is matched with the Road Side Unit (RSU) to identify passing pedestrians and vehicles, a monitoring identification module camera is used for monitoring road conditions in real time, an image identification module is matched with a vehicle detection module to identify the number of the vehicles, and then the image identification module is matched with the pedestrian detection module to identify the number of the pedestrians, so that the proportional relation between the total number of the pedestrians carrying corresponding to an intelligent mobile terminal, the total number of the vehicles and the number of the vehicles carrying vehicle-mounted equipment is obtained, and subsequent statistical work is carried out.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to a pedestrian number and vehicle number identification method based on edge calculation.
Background
The edge computing is originated in the field of media, and means that an open platform integrating network, computing, storage and application core capabilities is adopted on one side close to an object or a data source to provide nearest-end service nearby, the architecture of the edge computing comprises four domains of equipment, a network, data and application, and a platform provider mainly provides software and hardware infrastructure in the aspects of network interconnection, computing capability, data storage and application. The edge computing reduces the hosting of the application program concentrated in the data center to the edge of the network, is closer to consumers and data sources, has the characteristics of ultra-low time delay, ultra-high bandwidth and the like, and is an item carrier platform combining information technology and communication technology services; the application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. The edge computation is between the physical entity and the industrial connection, or on top of the physical entity.
Edge calculation is also commonly used in investigation work of road conditions and traffic information to calculate pedestrian and vehicle information of road sections, but common mode is comparatively single, only utilizes supervisory equipment to monitor the road sections to cooperate identification module to carry out data statistics and calculation to pedestrian and vehicle passing, this kind of mode only can calculate basic pedestrian and vehicle quantity, can't carry out further other investigation work.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an edge calculation-based pedestrian number and vehicle number identification method.
In order to achieve the purpose, the invention provides the following technical scheme:
an edge calculation-based pedestrian number and vehicle number identification method comprises the following steps:
s1, arranging Road Side Units (RSUs) at the edges of the target road sections, and additionally arranging a Mobile Edge Computing (MEC) server connected with the RSUs, wherein the Mobile Edge Computing (MEC) server is installed in the electrical cabinet and is in signal connection with the RSUs;
s2, a monitoring identification module is installed at the road side unit, and the monitoring identification module is a camera provided with a wireless communication module, an image identification module, a vehicle identification module and a pedestrian identification module;
s3, part of pedestrians carry intelligent mobile terminals with GPS and wireless communication modules, part of vehicles are provided with vehicle-mounted equipment with GPS and wireless communication modules, and the intelligent mobile terminals and the vehicle-mounted equipment are in signal connection with Road Side Units (RSUs);
s4, identifying the passing pedestrians and vehicles by the intelligent identification module in cooperation with a Road Side Unit (RSU), monitoring the road condition in real time by a monitoring identification module camera, identifying the number of the vehicles by the image identification module in cooperation with a vehicle detection module, and identifying the number of the pedestrians by the image identification module in cooperation with a pedestrian detection module;
s5, a Road Side Unit (RSU) monitors the signal of the passing pedestrians and vehicles, the pedestrians carrying the intelligent mobile terminal and the vehicles carrying the vehicle-mounted equipment to obtain the corresponding number of the pedestrians and the corresponding number of the vehicles;
s6, feeding identification information of the monitoring identification module and a Road Side Unit (RSU) back to a Mobile Edge Computing (MEC) server through wireless communication modules respectively, and computing and storing data through the MEC server to obtain the proportional relation between the total quantity of pedestrians and the quantity of pedestrians carrying corresponding intelligent mobile terminals, the total quantity of vehicles and the quantity of vehicles carrying vehicle-mounted equipment so as to perform subsequent statistical work.
Preferably, the light filling lamp is installed in control discernment module department, the light filling lamp passes through circuit cooperation and camera electric connection, carries out the light filling through the light filling lamp to the target location at camera during operation.
Preferably, the smart mobile terminal is a smart phone loaded with a GPS and a wireless communication module, and the vehicle-mounted device is a GPS system device with a wireless communication module.
Preferably, the electrical cabinet is a control device based on 5G communication equipment, the Mobile Edge Computing (MEC) server is respectively in communication connection with the monitoring identification module and the Road Side Unit (RSU) through a wireless communication module and a circuit, and the monitoring module is controlled to perform corresponding feedback work through the Mobile Edge Computing (MEC) server.
Preferably, the monitoring and identifying module is provided with an information storage module, the information storage module is electrically connected with the camera, the information storage module is an SD memory card, and the memory of the SD memory card is 256 g.
Preferably, the Road Side Unit (RSU) and the Mobile Edge Computing (MEC) server both belong to the same network model.
The invention has the technical effects and advantages that:
the invention establishes a Road Side Unit (RSU) and a Mobile Edge Computing (MEC) server to cooperate with a monitoring identification module to carry out unified monitoring work on pedestrians and vehicles on a road section, identifies and feeds back information of the pedestrians and vehicles passing through the road section by a camera in cooperation with an image identification module, a pedestrian identification module and a vehicle identification module, meanwhile utilizes the Road Side Unit (RSU) to carry out data identification and calculation on the pedestrians carrying GPS smart phones and the vehicles carrying GPS system vehicle-mounted equipment in the road section, feeds back the data to the MEC server, obtains the proportional relation between the total number of the pedestrians and the number of the pedestrians carrying corresponding intelligent mobile terminals and the total number of the vehicles carrying the vehicle-mounted equipment in the way, and carries out subsequent statistical work so as to obtain subsequent research results.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
S1, arranging a Road Side Unit (RSU) at the edge of a target road section, and arranging a Mobile Edge Computing (MEC) server connected with the RSU in addition, wherein the Mobile Edge Computing (MEC) server is installed in an electric cabinet, the RSU is in signal connection with the Mobile Edge Computing (MEC) server, the RSU is utilized to play a basic signal detection effect, and the Mobile Edge Computing (MEC) server is assembled to the edge area of a detected road section in cooperation with the electric cabinet so as to be convenient for maintenance or regulation and control;
s2, a monitoring identification module is installed at the road side unit, the monitoring identification module is a camera provided with a wireless communication module, an image identification module, a vehicle identification module and a pedestrian identification module, a monitoring coverage area of the camera is overlapped with a signal coverage area of the Road Side Unit (RSU) so as to achieve the effect of mutually matching and detecting in the same range, a light supplement lamp is installed at the monitoring identification module, the light supplement lamp is electrically connected with the camera through circuit matching, when the camera works, the target position is supplemented with light through the light supplement lamp, and the light supplement lamp is a CM-SG02-300LX type intelligent traffic flash lamp;
s3, part of pedestrians carry intelligent mobile terminals with GPS and wireless communication modules, part of vehicles are provided with vehicle-mounted equipment with GPS and wireless communication modules, the intelligent mobile terminals and the vehicle-mounted equipment are in signal connection with Road Side Units (RSUs), and the intelligent mobile terminals and the vehicle-mounted equipment are used for downloading corresponding programs by themselves for matching;
s4, identifying the passing pedestrians and vehicles by the intelligent identification module in cooperation with a Road Side Unit (RSU), monitoring the road condition in real time by a monitoring identification module camera, identifying the number of the vehicles by the image identification module in cooperation with a vehicle detection module, and identifying the number of the pedestrians by the image identification module in cooperation with a pedestrian detection module;
s5, a Road Side Unit (RSU) monitors the signal of the passing pedestrians and vehicles, the pedestrians carrying the intelligent mobile terminal and the vehicles carrying the vehicle-mounted equipment to obtain corresponding data information of the number of the pedestrians and the number of the vehicles;
s6, feeding identification information of the monitoring identification module and a Road Side Unit (RSU) back to a Mobile Edge Computing (MEC) server through wireless communication modules respectively, computing and storing data through the Mobile Edge Computing (MEC) server to obtain the proportional relation between the total quantity of pedestrians and the number of pedestrians carrying corresponding intelligent mobile terminals and between the total quantity of vehicles and the number of vehicles carrying vehicle-mounted equipment, and counting the pedestrians and the vehicles provided with corresponding intelligent terminals and the vehicle-mounted equipment to perform subsequent counting work.
Example 2
An edge calculation-based pedestrian number and vehicle number identification method comprises the following steps:
step 1, arranging a Road Side Unit (RSU) at the edge of a target road section, and additionally arranging a Mobile Edge Computing (MEC) server connected with the RSU, wherein the Mobile Edge Computing (MEC) server is arranged in an electrical cabinet, the RSU is in signal connection with the Mobile Edge Computing (MEC) server, the electrical cabinet is a control device based on 5G communication equipment, the Mobile Edge Computing (MEC) server is respectively in communication connection with a monitoring identification module and the RSU through a wireless communication module matching circuit, and the monitoring module is controlled to perform corresponding feedback work through the Mobile Edge Computing (MEC) server;
step 2, a monitoring identification module is installed at the road side unit, the monitoring identification module is a camera provided with a wireless communication module, an image identification module, a vehicle identification module and a pedestrian identification module, a light supplement lamp is installed at the monitoring identification module and is electrically connected with the camera through circuit matching, when the camera works, the target position is supplemented with light through the light supplement lamp, and the light supplement lamp is a CM-SG02-300LX type intelligent traffic flashlight;
step 3, carrying an intelligent mobile terminal with a GPS and a wireless communication module by part of pedestrians, mounting vehicle-mounted equipment with the GPS and the wireless communication module by part of vehicles, wherein the intelligent mobile terminal and the vehicle-mounted equipment are in signal connection with a Road Side Unit (RSU), the intelligent mobile terminal is an intelligent mobile phone carrying the GPS and the wireless communication module, and the vehicle-mounted equipment is a GPS system device with the wireless communication module;
step 4, identifying the passing pedestrians and vehicles by the intelligent identification module in cooperation with a Road Side Unit (RSU), monitoring road conditions in real time by a monitoring identification module camera, identifying the number of the vehicles by the image identification module in cooperation with a vehicle detection module, identifying the number of the pedestrians by the image identification module in cooperation with a pedestrian detection module, and installing an information storage module on the monitoring identification module, wherein the information storage module is electrically connected with the camera, is an SD storage card, and has a memory of 256 g;
step 5, a Road Side Unit (RSU) monitors the signal of the passing pedestrians and vehicles, the pedestrians carrying the intelligent mobile terminal and the vehicles loaded with vehicle-mounted equipment to obtain the corresponding number of the pedestrians and the corresponding number of the vehicles;
and 6, feeding back self identification information to a Mobile Edge Computing (MEC) server through the wireless communication module by the monitoring identification module and a Road Side Unit (RSU) respectively, and computing and storing data through the MEC server to obtain the proportional relation between the total quantity of pedestrians and the number of pedestrians carrying corresponding intelligent mobile terminals, the total quantity of vehicles and the number of vehicles carrying vehicle-mounted equipment so as to perform subsequent statistical work.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (6)
1. A pedestrian number and vehicle number identification method based on edge calculation is characterized in that: the method comprises the following steps:
s1, arranging road side units at the edges of the target road sections, and additionally arranging a mobile edge computing server connected with the road side units, wherein the mobile edge computing server is installed in an electrical cabinet, and the road side units are in signal connection with the mobile edge computing server;
s2, a monitoring identification module is installed at the road side unit, and the monitoring identification module is a camera provided with a wireless communication module, an image identification module, a vehicle identification module and a pedestrian identification module;
s3, part of pedestrians carry intelligent mobile terminals with GPS and wireless communication modules, part of vehicles are provided with vehicle-mounted equipment with GPS and wireless communication modules, and the intelligent mobile terminals and the vehicle-mounted equipment are in signal connection with road side units;
s4, the intelligent recognition module is matched with the road side unit to recognize passing pedestrians and vehicles, the monitoring recognition module camera is used for monitoring road conditions in real time, the image recognition module is matched with the vehicle detection module to recognize the number of the vehicles, and then the image recognition module is matched with the pedestrian detection module to recognize the number of the pedestrians;
s5, carrying out signal monitoring on the passing pedestrians and vehicles by the road side unit, monitoring the pedestrians carrying the intelligent mobile terminal, and carrying out signal monitoring on the vehicles loaded with the vehicle-mounted equipment to acquire the corresponding number of the pedestrians and the vehicles.
S6, the monitoring identification module and the road side unit respectively feed back self identification information to the mobile edge calculation server through the wireless communication module, and data are calculated and stored through the mobile edge calculation server, so that the proportional relation between the total quantity of pedestrians and the number of pedestrians carrying corresponding intelligent mobile terminals, the total quantity of vehicles and the number of vehicles carrying vehicle-mounted equipment is obtained, and subsequent statistical work is carried out.
2. The method for recognizing the number of pedestrians and the number of vehicles based on the edge calculation as claimed in claim 1, wherein: the light filling lamp is installed in monitoring and recognizing module department, passes through circuit cooperation and camera electric connection, carries out the light filling through the light filling lamp to the target location at camera during operation.
3. The method for recognizing the number of pedestrians and the number of vehicles based on the edge calculation as claimed in claim 1, wherein: the intelligent mobile terminal is a smart phone loaded with a GPS and a wireless communication module, and the vehicle-mounted equipment is a GPS system device with the wireless communication module.
4. The method for recognizing the number of pedestrians and the number of vehicles based on the edge calculation as claimed in claim 1, wherein: the electrical cabinet is a control device based on 5G communication equipment, the mobile edge computing server is respectively in communication connection with the monitoring identification module and the road side unit through a wireless communication module and a circuit, and the monitoring module is controlled to perform corresponding feedback work through the mobile edge computing server.
5. The method for recognizing the number of pedestrians and the number of vehicles based on the edge calculation as claimed in claim 1, wherein: the monitoring and identifying module is provided with an information storage module, the information storage module is electrically connected with the camera, the information storage module is an SD storage card, and the memory of the SD storage card is 256 g.
6. The method for recognizing the number of pedestrians and the number of vehicles based on the edge calculation as claimed in claim 1, wherein: and the road side unit and the mobile edge calculation server both belong to the same network model.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010958313.3A CN112102618A (en) | 2020-09-14 | 2020-09-14 | Pedestrian number and vehicle number identification method based on edge calculation |
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| CN202010958313.3A CN112102618A (en) | 2020-09-14 | 2020-09-14 | Pedestrian number and vehicle number identification method based on edge calculation |
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