CN115861979A - Vehicle overload detection method, device, system, electronic device and storage medium - Google Patents
Vehicle overload detection method, device, system, electronic device and storage medium Download PDFInfo
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Abstract
The application relates to a vehicle overmaning detection method, a device, a system, an electronic device and a storage medium, wherein the vehicle overmaning detection method comprises the following steps: acquiring vehicle detection data, wherein the vehicle detection data at least comprises license plate data of a target vehicle; detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data; obtaining a historical number of occupants for the target vehicle based on the vehicle detection data; vehicle over-ride detection is performed based on the occupant modification data and the historical occupant count. Through the method and the device, the problem that the detection accuracy of the vehicle overmaning is low is solved, and the technical effect of accurately detecting the vehicle overmaning is achieved.
Description
Technical Field
The present application relates to the field of intelligent transportation technologies, and in particular, to a method, an apparatus, a system, an electronic apparatus, and a storage medium for detecting an overmaning vehicle.
Background
In the passenger transport industry, the transportation of passenger vehicles is a main component part of highway passenger transport, the safety problem is not negligible, and the handling performance of the vehicles can be seriously influenced by the overtaking of the vehicles, so that the number of passengers of the passenger vehicles is generally limited. At present, the supervision of the overmans of the passenger vehicle is mainly responsible for transportation management departments, and the common supervision method is to carry out outbound inspection at a passenger station and to arrange a card inspection at a high-speed road condition. The monitoring mode can not flexibly monitor the number of passengers of the passenger vehicle in real time, and can not monitor and manage the on-off behaviors of the passengers on the road, so that the monitoring condition of the vehicle over-passengers is not ideal.
With the development of machine vision technology, the vehicle over-man condition is detected by acquiring an in-vehicle image and identifying personnel, so that the detection efficiency of over-man detection is greatly improved. However, in the case of an over-riding vehicle, there may be a case where the shape of a part of the passenger is blocked, which may cause a wrong identification of the number of people loaded in the vehicle.
Aiming at the problem of low vehicle overmaning detection accuracy in the related art, no effective solution is provided at present.
Disclosure of Invention
The embodiment provides a vehicle over-driver detection method, a vehicle over-driver detection device, a vehicle over-driver detection system, an electronic device and a storage medium, so as to solve the problem of low vehicle over-driver detection accuracy in the related art.
In a first aspect, there is provided in this embodiment a vehicle overmaning detection method, comprising: acquiring vehicle detection data, wherein the vehicle detection data at least comprises license plate data of a target vehicle; detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data; obtaining a historical number of occupants for the target vehicle based on the vehicle detection data; vehicle over-ride detection is performed based on the occupant modification data and the historical occupant count.
In one embodiment, the acquiring vehicle detection data comprises: acquiring a vehicle detection request which is subjected to signature encryption processing in advance; and carrying out signature verification and decryption according to the vehicle detection request to obtain the vehicle detection data.
In one embodiment, the vehicle detection data includes tire pressure data, and the detecting the occupant modification of the target vehicle based on the vehicle detection data includes: determining an occupant change timing based on the vehicle detection data; acquiring region detection data within a preset range according to the passenger change moment, wherein the region detection data comprises radar detection data and image detection data; occupant change data is determined based on the occupant change timing and the region detection data.
In one embodiment, the determining the occupant change timing based on the vehicle detection data includes: acquiring the real-time vehicle speed of the target vehicle according to the vehicle detection data, and acquiring the tire pressure data of the target vehicle if the real-time vehicle speed is within a preset vehicle speed range; and obtaining the tire pressure of the target vehicle according to the tire pressure data, and if the tire pressure difference value at the adjacent acquisition time is greater than a preset threshold value, taking the adjacent acquisition time as the passenger change time.
In one of the embodiments, the determining occupant modification data based on the occupant modification time and the area detection data includes: determining the number of the passengers getting on and getting off the target vehicle according to the area detection data; and generating a passenger change sequence according to the passenger change time in a preset period, the corresponding number of the passengers getting on the train and the corresponding number of the passengers getting off the train.
In one embodiment, the vehicle over-occupant detection based on the occupant modification data and the historical occupant count comprises: determining a number of in-vehicle occupants of the target vehicle based on the historical number of occupants and the occupant modification data; and if the number of the passengers in the vehicle is larger than the number of the passengers in the vehicle, judging that the target vehicle is over-ridden.
In a second aspect, there is provided in this embodiment a vehicle overmaning detection apparatus, comprising:
the vehicle detection module is used for acquiring vehicle detection data, and the vehicle detection data at least comprises license plate data of a target vehicle;
the first data acquisition module is used for detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data;
a second data acquisition module for acquiring a historical number of occupants of the target vehicle based on the vehicle detection data;
a detection module to perform vehicle over-occupant detection based on the occupant modification data and the historical occupant count.
In a third aspect, there is provided in the present embodiment a vehicle overmaning detection system, comprising: a vehicle detection device, a roadside detection device, and a server device; the server equipment is respectively connected with the vehicle detection equipment and the roadside detection equipment, and the vehicle detection equipment is connected with the roadside detection equipment; the vehicle detection equipment is used for acquiring vehicle detection data of a target vehicle, and the vehicle detection data at least comprises license plate data of the target vehicle; the roadside detection equipment is used for acquiring regional monitoring data within a preset range; the server device is configured to execute the vehicle overmaning detection method according to the first aspect.
In a fourth aspect, in the present embodiment, there is provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the vehicle overload detection method according to the first aspect when executing the computer program.
In a fifth aspect, in the present embodiment, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the vehicle overmaning detection method of the first aspect described above.
Compared with the related art, the vehicle overload detection method provided by the embodiment comprises the steps of obtaining vehicle detection data, wherein the vehicle detection data at least comprises license plate data of a target vehicle; detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data; obtaining a historical number of occupants for the target vehicle based on the vehicle detection data; and vehicle overtaking detection is carried out based on the passenger change data and the historical passenger number, so that the problem of low vehicle overtaking detection accuracy is solved, and the technical effect of accurately carrying out vehicle overtaking detection is realized.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a block diagram of a hardware configuration of a terminal of the vehicle overmaning detection method of the present embodiment;
FIG. 2 is a flow chart of a vehicle overload detection method of the present embodiment;
FIG. 3 is a schematic diagram of a vehicle occupant modification timeline of a vehicle excess detection method according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an occupant modification timeline of a vehicle excess detection method according to an embodiment of the present application;
FIG. 5 is a block diagram showing the construction of the vehicle excessive man detecting device of the embodiment;
FIG. 6 is a vehicle excess detection system according to an embodiment of the present application;
FIG. 7 is a vehicle tire pressure data collection flow diagram of a vehicle over-the-counter detection system according to an embodiment of the present application;
FIG. 8 is a flow chart of roadside detection unit data processing for a vehicle excess member detection system according to an embodiment of the present application;
fig. 9 is a data processing flow diagram of a cloud data screening system of a vehicle overmaning detection system according to an embodiment of the application;
FIG. 10 is a vehicle overmaning detection system according to another embodiment of the present application.
Detailed Description
For a clearer understanding of the objects, aspects and advantages of the present application, reference is made to the following description and accompanying drawings.
Unless defined otherwise, technical or scientific terms used herein shall have the same general meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The use of the terms "a" and "an" and "the" and similar referents in the context of this application do not denote a limitation of quantity, either in the singular or the plural. The terms "comprises," "comprising," "has," "having" and any variations thereof, as referred to in this application, are intended to cover non-exclusive inclusions; for example, a process, method, and system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or modules, but may include other steps or modules (elements) not listed or inherent to such process, method, article, or apparatus. Reference in this application to "connected," "coupled," and the like is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. Reference to "a plurality" in this application means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. In general, the character "/" indicates a relationship in which the objects associated before and after are an "or". Reference in the present application to the terms "first," "second," "third," etc., merely distinguish between similar objects and do not denote a particular order or importance to the objects.
The method embodiments provided in the present embodiment may be executed in a terminal, a computer, or a similar computing device. For example, the vehicle overload detection method is executed on a terminal, and fig. 1 is a block diagram of a hardware structure of the terminal of the vehicle overload detection method according to the embodiment. As shown in fig. 1, the terminal may include one or more processors 102 (only one shown in fig. 1) and a memory 104 for storing data, wherein the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA. The terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those of ordinary skill in the art that the structure shown in fig. 1 is merely an illustration and is not intended to limit the structure of the terminal described above. For example, the terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used for storing a computer program, for example, a software program and a module of application software, such as a computer program corresponding to the vehicle overload detection method in the embodiment, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. The network described above includes a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
The power performance of the vehicle is easily reduced due to the fact that the vehicle is overloaded, the driving speed is reduced, the speed difference between vehicles on a road is increased, and the probability of accidents such as rear-end collision, scraping and the like is increased. In addition, when a vehicle encounters a traffic accident, an overtaking passenger is more easily seriously injured due to the fact that the overtaking passenger is not protected by a safety belt. Therefore, how to effectively identify whether the passenger vehicle is in an overload state becomes an urgent problem to be solved.
In the present embodiment, a vehicle excessive member detection method is provided, and fig. 2 is a flowchart of the vehicle excessive member detection method of the present embodiment, as shown in fig. 2, the flowchart includes the following steps:
step S201, vehicle detection data is obtained, and the vehicle detection data at least comprises license plate data of a target vehicle.
Specifically, the vehicle detection data is detection data related to vehicle attribute parameters acquired by an in-vehicle sensor. The license plate data is license plate information of the target vehicle and is used for determining the identity of the vehicle. Preferably, other attribute data of the target vehicle, such as tire pressure data of the target vehicle, real-time vehicle speed information, real-time location information of the vehicle, and the like, may also be detected. The tire pressure data is the pressure values of the respective tires of the target vehicle. The pressure value of each tire can be acquired in real time through a high-precision tire pressure sensor, wherein the left front tire pressure data is recorded as P1; recording the right front wheel tire pressure data as P2; left rear tire pressure data is recorded as P3; recording the right rear wheel tire pressure data as P4; further, the tire pressure data may also be recorded in the form of (P1, P2, P3, P4). Acquiring a real-time speed V of a target vehicle through a vehicle speed sensor; the GNSS is known as Global Navigation satellite System, chinese name Global Navigation satellite System. The GNSS schemes adopted most in China are a GPS system and a Beidou system. And acquiring the real-time longitude and latitude coordinates of the vehicle through a GNSS positioning system to obtain vehicle position information G.
And step S202, detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data.
Specifically, the vehicle-road cooperative system is a system which adopts advanced wireless communication, new generation internet and other technologies, implements vehicle-vehicle and vehicle-road dynamic implementation information interaction in all directions, and develops vehicle active safety control and road cooperative management on the basis of full-time dynamic traffic information acquisition and fusion. In this embodiment, the vehicle-road cooperation mainly refers to the cooperative processing of data by the vehicle and the roadside detection device. And further detecting the vehicle entering the vicinity of the roadside detection equipment after the detection data of the target vehicle is acquired through the vehicle-road cooperation system. The preset range is the detection range of the roadside detection device. The occupant change condition is a condition in which a person of the target vehicle gets on or off the vehicle. The occupant change data may be data for getting on and off a person at a single roadside detection unit, or data for getting on and off a person at a plurality of roadside detection units. Preferably, a time axis for getting on and off the passenger may be generated according to the detection time of each roadside detection device and the corresponding person getting on and off. The time axis refers to a relatively complete recording system formed by connecting one or more events in series according to time sequence through the Internet technology. In the present embodiment, a time axis is generated from the time point when the occupant change occurs in the target vehicle and the corresponding number of persons getting on and off the vehicle, and this time axis is used as the occupant change data.
Step S203, a historical number of occupants of the target vehicle is acquired based on the vehicle detection data.
Specifically, identity information of the target vehicle, such as license plate data, is obtained based on the vehicle detection data. Historical passenger data of the target vehicle before the passenger change condition detection can be obtained in a cloud database according to the license plate data.
And a step S204 of detecting the vehicle overtaking based on the occupant change data and the historical number of occupants.
Specifically, the current number of passengers in the vehicle of the target vehicle can be determined by combining the historical number of passengers and the passenger change data, the number of passengers in the vehicle is compared with the number of passengers on the vehicle, if the number of passengers in the vehicle exceeds the number of passengers on the vehicle, the target vehicle is indicated to have an overtaking condition, the road side detection device can be used for alarming, the vehicle overtaking condition is recorded into a database, and a management department can conveniently process the overtaking vehicle and related persons in charge.
Through the steps, vehicle detection data and passenger change data are obtained, wherein the vehicle detection data are mainly based on vehicle related attribute information collected by a vehicle-mounted sensor, and the passenger change data are based on the on-off condition of a data analyst outside the vehicle when a target vehicle collected by road side detection equipment stops. Compared with the prior art that the in-vehicle personnel condition is detected only through the data of the vehicle-mounted sensor, particularly the scheme that the in-vehicle camera is used for collecting the image analysis of the excess personnel condition is only used, the embodiment of the application combines the vehicle detection data collected by the in-vehicle sensor and the passenger change data collected by the roadside sensor in the outer area of the vehicle, can effectively avoid the problem that the excess personnel detection accuracy is low due to personnel shielding, and improves the accuracy of the excess personnel detection of the vehicle.
In one embodiment, the acquiring vehicle detection data comprises: acquiring a vehicle detection request which is subjected to signature encryption processing in advance; and carrying out signature verification and decryption according to the vehicle detection request to obtain the vehicle detection data.
Specifically, the vehicle-mounted sensor is used for collecting relevant attribute parameters of the vehicle in real time, the attribute parameters of the vehicle are encrypted through a V2X technology to generate a vehicle detection request and the vehicle detection request is transmitted to the roadside detection equipment, and the roadside detection equipment obtains vehicle detection data through signature verification and decryption.
V2X, meaning vehicle to evolution, i.e. the exchange of information of the vehicle to the outside. The internet of vehicles establishes a new automobile technology development direction by integrating a global positioning system navigation technology, an automobile-to-automobile communication technology, a wireless communication technology and a remote sensing technology, simply speaking, the vehicle type of the system is matched, and under an automatic driving mode, a driving route with the best road condition can be automatically selected through analysis of real-time traffic information, so that traffic jam is greatly relieved. In the present embodiment, communication between the vehicle and the roadside detection apparatus is realized by means of the V2X technology.
In the embodiment, the vehicle acquires the pressure values (P1, P2, P3 and P4) of each tire in real time through the high-precision tire pressure sensor, acquires the real-time vehicle speed value V of the vehicle through the vehicle speed sensor, and acquires the real-time longitude and latitude coordinate position information G of the vehicle through the global navigation positioning system GNSS. The vehicle-mounted T-BOX is equipment capable of performing information interaction with a vehicle system, and can transmit P, V and G data information acquired in real time, license plate and model information of a vehicle per se to a vehicle-mounted unit module. The vehicle-mounted unit module converts vehicle data information into V2X vehicle information, signature processing is carried out through a vehicle pseudonym certificate private key, and the roadside detection equipment carries out encryption processing through a public key of the certificate and broadcasts the vehicle data information to the outside through a PC5 air interface resource of the V2X communication module. PC5 is a communication protocol for V2X technology, and the PC5 interface is an interface corresponding thereto. V2X contains two communication interfaces, namely a PC5 interface and a Uu interface. The PC5 is a direct connection communication interface, is mainly used for short-distance direct communication among vehicles, people and road infrastructures, and is characterized by realizing low-delay, high-capacity and high-reliability communication in the form of direct connection, broadcasting and network scheduling. And the roadside detection equipment receives the real-time vehicle message in the air interface radio frequency coverage range of the PC5 and checks and decrypts the tag to obtain the vehicle detection data.
In one embodiment, the detecting the change of the occupant of the target vehicle based on the vehicle detection data, and obtaining the occupant change data includes: determining an occupant change timing based on the vehicle detection data; acquiring region detection data within a preset range according to the passenger change moment, wherein the region detection data comprises radar detection data and image detection data; occupant change data is determined based on the occupant change timing and the region detection data.
Specifically, the vehicle detection data includes tire pressure data, and after the vehicle detection data reported by the vehicle is received, the time of change of the passenger can be determined by analyzing the time of sudden change of the tire pressure of the vehicle. The time of the change of the occupant, that is, the time of the change of the vehicle occupant. The case where the sudden change in the tire pressure of the vehicle exists includes: the pressure values of all tires of the four-wheeled passenger vehicle are respectively P1, P2, P3 and P4, and when a driver gets on or off the vehicle, the pressure value of P1 is suddenly changed; when a passenger gets on or off the vehicle on the copilot, the P2 pressure value has instantaneous sudden change; when passengers get on or off the vehicle at the rear row of the vehicle, instantaneous sudden change exists in the pressure value P3 or P4; when the vehicle trunk accesses goods, the pressure value P3 or P4 has instantaneous sudden change. When people get on or off the vehicle, the tire pressure of the vehicle can change rapidly and vibrate, and the situation that people get on or off the vehicle is explained at the moment, so that the time period near the moment is taken as the passenger changing moment, the people situation in the area near the vehicle is sensed by the roadside detection equipment, the number of people getting on or off the vehicle can be determined, and the passenger changing data is determined according to the passenger changing moment and the number of people getting on or off the vehicle.
In one embodiment, the determining the occupant change timing based on the vehicle detection data includes: acquiring the real-time speed of the target vehicle according to the vehicle detection data, and acquiring the tire pressure data of the target vehicle if the real-time speed is within a preset vehicle speed range; and obtaining the tire pressure of the target vehicle according to the tire pressure data, and if the tire pressure difference value at the adjacent acquisition time is greater than a preset threshold value, taking the adjacent acquisition time as the passenger change time.
Specifically, the road side unit receives real-time vehicle messages in an air interface radio frequency coverage range of the PC5 and performs decryption processing by using a private key of an application certificate of the road side unit, and then performs signature verification processing by using a public key of a vehicle pseudonym certificate to obtain vehicle detection data. And screening out relevant data of which the vehicle speed value is within a preset vehicle speed range according to the vehicle detection data. Preferably, the relevant vehicle detection data when the vehicle speed is 0, that is, the vehicle detection data when the vehicle stops moving and is in a parking state, is selected. Screening data information of a vehicle speed of 0 and a tire pressure of which has instant mutation and oscillation time, generating tire pressure mutation data link information of the vehicle based on time points, and transmitting the tire pressure mutation data link information to a cloud data screening system through a Uu air interface resource of a 4G/5G communication module, wherein Uu is another communication interface in a V2X technology, belongs to a cellular network communication interface, and is used for realizing communication between a terminal and a base station. The main characteristic of the Uu interface is to enable reliable communication over long distances and over a larger range. The PC5 interface and the Uu interface can coexist, and the PC5 can realize point-to-point communication without the coverage of a cellular network. Uu communication requires the participation of base stations and requires cellular network coverage. The real-time position information, namely the speed value of the vehicle can be synchronized to the cloud system. The occupant change time data link information is shown in table 1 below:
table 1 passenger change time data link information table
The passenger change time data chain information comprises a vehicle license plate, vehicle signal information and a vehicle tire pressure mutation time point. For example, the passenger time data link information table with the license plate photographed as zhe a12345 is shown in table 1, and the model information may also be a vehicle type, such as a minibus, a car, a van, and the like. Further, the signal information may also include a vehicle brand and the like. The time format of the vehicle tire pressure mutation time point is shown in table 1, and it can be understood that other formats can be adopted to record time, for example, recording time information in a character string 202207200820 representing 20/8/7/20/7/2022; and according to the actual recording requirement, the time precision of the tire pressure mutation time point of the vehicle can be accurate to seconds, so that the recording accuracy is improved.
In one of the embodiments, the determining occupant modification data based on the occupant modification time and the area detection data includes: determining the number of getting-on persons and the number of getting-off persons of the target vehicle according to the area detection data; and generating a passenger changing sequence according to the passenger changing time, the corresponding number of the passengers getting on the train and the corresponding number of the passengers getting off the train in a preset period.
Specifically, in the current vehicle-road collaborative deployment scenario, a plurality of edge computing units are generally bound to one road-side unit. The road side unit transmits the tire pressure mutation time, the vehicle position and the license plate information of the vehicle to the peripheral edge calculation unit in real time, and is used for acquiring the information of the number of passengers getting on and off the vehicle corresponding to the vehicle at the position at the specified time. A high-definition camera in the roadside sensing equipment collects vehicle video code stream information in real time, millimeter waves and a laser radar collect vehicle power supply data information in real time, and the collected data are transmitted to an edge computing unit. The edge calculation unit receives the vehicle license plate and the tire pressure mutation moment position information sent by the road side unit, analyzes the video code stream and the point cloud data information through a radar fusion algorithm, extracts the getting-on and getting-off data information of the corresponding license plate vehicle at the corresponding moment position and analyzes the number of the current person getting-on and getting-off, generates the data link information of the number of the person getting-on and getting-off based on the time point of the vehicle, and transmits the data link information to the cloud data screening system through the Uu air interface resource of the 4G/5G communication module; the occupant change data link information is shown in table 2 below:
table 2 occupant modification data link information table
The passenger changing data chain comprises vehicle license plate information, vehicle tire pressure mutation time points and the number of passengers getting on or off at each time point; the vehicle license plate information is used for determining the identity of the vehicle, and the time point of the sudden change of the tire pressure of the vehicle represents the time point of the situation that people get on or off the vehicle. The number of passengers getting on and off at each time point represents the condition that the vehicle gets on and off within a preset time period. The recording form of the vehicle tire pressure mutation time point is shown in table 2, and it can be understood that other formats can be used for recording, for example, the character string 202207200820 represents 20 minutes of recording time information at 7 months, 20 days and 8 hours in 2022; and according to the actual recording requirement, the time precision of the tire pressure mutation time point of the vehicle can be accurate to seconds so as to improve the recording accuracy. Illustratively, the number of persons getting on and off at each time point corresponds to the time point of sudden change of the tire pressure of the vehicle, and [2,3] in table 2 indicates that a vehicle with license plate information of Zhe A12345 gets on 2 persons and gets off 3 persons at 20 minutes in 7 months and 20 days and 8 days in 2022.
The cloud data screening system collects and fuses time axes of the tire pressure mutation time of each vehicle in the traveling process and the number of people getting on and off the vehicle through the number of people getting on and off the vehicle and the tire pressure mutation data reported by the edge computing unit and the road side unit at different point positions, and can analyze the number of people actually carried in the vehicle based on the time axes.
In one embodiment, the time range for screening the radar data can be preset second values added or subtracted at the moment of tire pressure mutation so as to increase the success rate of effectively identifying the number of people getting on or off the train, and in addition, when the position of the train corresponding to the moment has no data information of getting on or off the train, the number of people getting on or off the train at the moment is reported to be 0.
In one embodiment, the vehicle over-occupant detection based on the occupant modification data and the historical occupant count comprises: determining a number of in-vehicle occupants of the target vehicle based on the historical number of occupants and the occupant modification data; and if the number of the passengers in the vehicle is larger than the number of the passengers in the vehicle, judging that the target vehicle exceeds the passengers.
Specifically, the number of occupants in the vehicle, which is the number of occupants in the vehicle, can be analyzed based on the occupant change data and the historical number of occupants. The calculation model of the number of the real people in the vehicle is as follows:
N n ＝C n +M v≠0 (C n ≥0)
N d ＝|C n |+M v≠0 (C n <0)
wherein T is the time point of sudden change of the tire pressure of the vehicle, U i The number of passengers getting on the bus D i For the number of passengers getting off, U i -D i The difference value of the number of passengers getting on and off, C, corresponding to the time point of tire pressure mutation of the vehicle n For the total number of people getting on or off the train, N n The number of real-load people in the current vehicle, N d The number of the actual people in the historical vehicle. In addition, the number of the specified nuclear people in the vehicle type is set to be L n ，M v≠0 When the vehicle speed value V is not equal to 0 after the time point of sudden change of the tail tire pressure and indicates that the vehicle still continues to run, M is the number of drivers v≠0 The value is set to 1, otherwise it is set to 0. In addition, when the tire pressure of the vehicle suddenly changes, the vehicle is positioned in a visual field blind area of the road side sensing equipment, and the information of the number of people getting on or off the vehicle does not exist on a time axis corresponding to the tire pressure sudden change moment.
When C is present n Is not less than 0 and N n >L n And then, the number of the overtaken vehicles is added by 1, the position information of the overtaken time is marked, and the license plate and the real-time position information of the vehicles are issued to traffic polices at each intersection so as to facilitate the traffic polices to intercept and investigate.
When C is present n <0 and N d >L n And when the vehicle is in the overtaking state before the judgment, accumulating and adding 1 to the overtaking count of the vehicle and marking the position information of the time when the vehicle is in the overtaking state possibly so as to facilitate the follow-up traffic police to carry out key checking on the time position when the number of overtaking times of the vehicle is large.
At itFig. 3 is a schematic diagram of a vehicle occupant change time axis of the vehicle over-driver detection method according to the embodiment of the present application, and as shown in fig. 3, the vehicle occupant change time axis is the time axis in the initial empty condition of the vehicle. Based on the real-load people number calculation model, V is not equal to 0 and C after the last tire pressure mutation moment n More than or equal to 0, so the number of the current real load people in the vehicle is N n ＝2<l N And (5). As shown in fig. 3, when the last tire pressure sudden change time, that is, the rightmost tire pressure sudden change time of the time axis, is the number of people getting on the vehicle at that time is 0 and the number of people getting off the vehicle at that time is also 0, but there is still a case of tire pressure sudden change, it indicates that there may be a loading or unloading situation in the vehicle trunk corresponding to the tire pressure sudden change time.
In another specific embodiment thereof, fig. 4 is a schematic diagram of an occupant modification time axis of the vehicle excess detection method according to the embodiment of the present application, as shown in fig. 4, the vehicle occupant modification time axis is a time axis at the initial vehicle excess; based on the real-load people number calculation model, V is not equal to 0 and c after the last tire pressure mutation moment N <0, so the number of the real-load persons in the vehicle is n d ＝6>L n And =5, it is determined that the vehicle was in the overload state before.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than presented herein. In this embodiment, a vehicle overmaning detection device is further provided, and the device is used to implement the above embodiments and preferred embodiments, which have already been described and will not be described again. The terms "module," "unit," "sub-unit," and the like as used below may implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.
Fig. 5 is a block diagram showing the configuration of the vehicle excessive person detection apparatus of the present embodiment, and as shown in fig. 5, the apparatus includes:
the vehicle detection module 10 is configured to acquire vehicle detection data, where the vehicle detection data at least includes license plate data of a target vehicle;
the first data acquisition module 20 is configured to detect an occupant change condition of a target vehicle within a preset range based on the vehicle detection data to obtain occupant change data;
a second data acquisition module 30 for acquiring a historical number of occupants of the target vehicle based on the vehicle detection data;
a detection module 40 for vehicle over-occupant detection based on the occupant modification data and the historical occupant count.
The vehicle detection module 10 is further configured to obtain a vehicle detection request subjected to signature encryption processing in advance; and carrying out signature verification and decryption according to the vehicle detection request to obtain the vehicle detection data.
The first data acquisition module 20 is further configured to determine an occupant change time according to the vehicle detection data including the tire pressure data; acquiring region detection data within a preset range according to the passenger change moment, wherein the region detection data comprises radar detection data and image detection data; occupant change data is determined based on the occupant change timing and the region detection data.
The first data acquisition module 20 is further configured to acquire a real-time vehicle speed of the target vehicle according to the vehicle detection data, and acquire tire pressure data of the target vehicle if the real-time vehicle speed is within a preset vehicle speed range; and obtaining the tire pressure of the target vehicle according to the tire pressure data, and if the tire pressure difference value at the adjacent acquisition time is greater than a preset threshold value, taking the adjacent acquisition time as the passenger change time.
The first data acquisition module 20 is further configured to determine the number of getting-on persons and the number of getting-off persons of the target vehicle according to the area detection data; and generating a passenger change sequence according to the passenger change time in a preset period, the corresponding number of the passengers getting on the train and the corresponding number of the passengers getting off the train.
A detection module 40 further configured to determine a number of in-vehicle occupants of the target vehicle based on the historical number of occupants and the occupant change data; and if the number of the passengers in the vehicle is larger than the number of the passengers in the vehicle, judging that the target vehicle is over-ridden.
The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
In the present embodiment, a vehicle excessive member detection system is provided, and fig. 6 is a vehicle excessive member detection system according to an embodiment of the present application, as shown in fig. 6, the system includes: vehicle detection apparatus 50, roadside detection apparatus 60, and server apparatus 70; wherein the server device 70 is respectively connected with the vehicle detection device 50 and the roadside detection device 60, and the vehicle detection device 50 is connected with the roadside detection device 60; the vehicle detection device 50 is configured to obtain vehicle detection data of a target vehicle, where the vehicle detection data at least includes license plate data of the target vehicle; the roadside detection equipment 60 is used for acquiring regional monitoring data within a preset range; the server device 70 is configured to execute the vehicle overload detection method according to any one of the above embodiments.
In one embodiment, fig. 7 is a flow chart of acquiring vehicle tire pressure data of the system for detecting an over-driver of a vehicle according to the embodiment of the present application, as shown in fig. 7, a tire pressure value P is acquired by a tire pressure sensor, a vehicle speed value V is acquired by a vehicle speed sensor, and vehicle position information G is acquired by a GNSS positioning system. The vehicle-mounted T-BOX transmits P, V, G and the license plate and model information of the vehicle to the vehicle-mounted unit module. The vehicle-mounted unit generates a V2X vehicle message, performs signature encryption processing through a pseudonymous certificate, and broadcasts the message by using PC5 air interface resources. And after the road side unit acquires the V2X vehicle message and performs signature verification and decryption processing, screening V =0 data at which the tire pressure has instantaneous mutation time, and generating a tire pressure mutation data chain based on a time axis. And the road side unit transmits the data link, the vehicle signal and the real-time position information to the cloud data screening system through the Uu air interface resource of the communication module. And the road side unit transmits the tire pressure mutation time, the vehicle position and the license plate information of the vehicle to the peripheral edge calculation unit.
In one embodiment, fig. 8 is a data processing flow chart of the roadside detection device of the vehicle overmaning detection system according to the embodiment of the application, and as shown in fig. 8, vehicle video information is collected through a high-definition camera, vehicle point cloud data information is collected through a millimeter wave radar and a laser radar, and the vehicle point cloud data information is transmitted to an edge calculation unit in real time. The edge calculation unit receives the vehicle license plate and the tire pressure mutation time position information sent by the road side unit. And analyzing the video and point cloud data information through a radar fusion algorithm, calculating the number of passengers getting on and off at the position of the corresponding vehicle at the designated time, and generating a data chain of the number of passengers getting on and off based on a time axis. The edge computing unit transmits the data chain to a cloud data screening system through Uu air interface resources of the communication module, and the cloud data screening system is arranged in the server.
In one embodiment, fig. 9 is a data processing flow chart of the cloud data screening system of the vehicle excess member detection system according to the embodiment of the present application, and as shown in fig. 9, the quantity chains generated by the roadside unit and the edge calculation unit are converged and fused to generate a time axis of the number of people getting on and off the vehicle at each time of each vehicle, and a total number of people getting on and off the vehicle C corresponding to the time axis is obtained based on time axis analysis n If C is n If the number of the people loaded in the vehicle is more than or equal to 0, judging that the number of the people loaded in the vehicle currently is N n Whether the number of people loaded in the current vehicle is greater than the number L of the current vehicle n If not, continuously acquiring related data of the vehicle, updating a time axis and detecting the vehicle overtaking, if so, issuing the vehicle license plate and real-time position information to each intersection traffic police so as to facilitate the traffic police to carry out overtaking troubleshooting interception, and adding 1 to the vehicle overtaking count accumulation in the system and marking the overtaking moment position information; if the total number of people getting on or off the bus is C on the time axis n <0, judging whether the number of people carried in the historical vehicle of the historical vehicle is larger than the number of people carried in the vehicle, if not, continuously acquiring related data of the vehicle, updating a time axis and detecting whether the vehicle is over-riding, and if so, detecting whether the vehicle is over-riding in the systemThe technician skill is accumulated plus 1 and the position information of the overtime is marked.
In one embodiment, a vehicle excessive member detection system is provided, fig. 10 is a vehicle excessive member detection system according to another embodiment of the present application, as shown in fig. 10, the system includes a roadside sensing device, an on-board electronic device, an on-board unit, a roadside unit, an edge calculation unit, and a cloud data screening system;
roadside sensing equipment: the system comprises a high-definition camera, millimeter waves and a laser radar, and is used for acquiring vehicle video code stream and point cloud data information in real time and providing the information to an edge computing unit;
an in-vehicle electronic device: the system comprises an on-board T-BOX (vehicle information and GNSS positioning transmission system), a high-precision tire pressure sensor and a vehicle speed sensor, is used for acquiring real-time position information, vehicle speed information, tire pressure information and timestamp information of each tire of the vehicle, and transmits the information to an on-board unit module through an automobile CAN bus;
an on-board unit: converting vehicle information reported by the vehicle-mounted electronic equipment in real time into a V2X vehicle message, and broadcasting the vehicle message to the outside through a PC5 air interface resource of the V2X module;
a road side unit: receiving V2X vehicle information reported by each vehicle, extracting data information of the vehicle speed of 0, instantaneous sudden change and oscillation time of the tire pressure value of the wheel based on the requirement of the overmaning detection service, transmitting the data information to a cloud data screening system through Uu air interface resources of a 4G/5G communication module, and transmitting the tire pressure sudden change time, the vehicle position and license plate information of the vehicle to a peripheral edge computing unit in real time;
an edge calculation unit: receiving vehicle license plate and tire pressure mutation moment position information sent by a road side unit, analyzing video code stream and point cloud data information in real time through a radar fusion algorithm, acquiring the number of people getting on and off a bus based on the requirement of an overload detection service, and transmitting the number of people to a cloud data screening system through Uu air interface resources of a 4G/5G communication module;
and the cloud data screening system is used for calculating through the real-load people number model based on the detection data of the vehicle-mounted electronic equipment and the detection data of the road side unit, and screening out the superman vehicles through big data calculation.
There is also provided in this embodiment an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, vehicle detection data are obtained, and the vehicle detection data at least comprise license plate data of a target vehicle.
And S2, detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data.
And S3, acquiring the historical number of the passengers of the target vehicle based on the vehicle detection data.
And S5, detecting whether the vehicle is overtaking or not based on the passenger change data and the historical passenger number.
It should be noted that, for specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiment and optional implementation manners, and details are not described in this embodiment again.
In addition, in combination with the vehicle overmaning detection method provided in the above embodiment, a storage medium may also be provided to implement this embodiment. The storage medium having stored thereon a computer program; the computer program, when executed by a processor, implements any of the above-described embodiments of the vehicle overmaning detection method.
It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to be limiting. All other embodiments, which can be derived by a person skilled in the art from the examples provided herein without any inventive step, shall fall within the scope of protection of the present application.
It is obvious that the drawings are only examples or embodiments of the present application, and it is obvious to those skilled in the art that the present application can be applied to other similar cases according to the drawings without creative efforts. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
The term "embodiment" is used herein to mean that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is to be expressly or implicitly understood by one of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the patent protection. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of vehicle overload detection, comprising:
acquiring vehicle detection data, wherein the vehicle detection data at least comprises license plate data of a target vehicle;
detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data;
obtaining a historical number of occupants for the target vehicle based on the vehicle detection data;
vehicle over-ride detection is performed based on the occupant modification data and the historical occupant count.
2. The vehicle overmaning detection method of claim 1, wherein the obtaining vehicle detection data comprises:
acquiring a vehicle detection request which is subjected to signature encryption processing in advance;
and carrying out signature verification and decryption according to the vehicle detection request to obtain the vehicle detection data.
3. The vehicle overmaning detection method of claim 1, wherein the vehicle detection data includes tire pressure data, and wherein detecting an occupant modification of the target vehicle based on the vehicle detection data comprises:
determining an occupant change timing based on the vehicle detection data;
acquiring region detection data within a preset range according to the passenger change moment, wherein the region detection data comprises radar detection data and image detection data;
occupant change data is determined based on the occupant change timing and the region detection data.
4. The vehicle overmaning detection method of claim 3, wherein the determining an occupant change time based on the vehicle detection data comprises:
acquiring the real-time speed of the target vehicle according to the vehicle detection data, and acquiring the tire pressure data of the target vehicle if the real-time speed is within a preset vehicle speed range;
and obtaining the tire pressure of the target vehicle according to the tire pressure data, and if the tire pressure difference value at the adjacent acquisition time is greater than a preset threshold value, taking the adjacent acquisition time as the passenger change time.
5. The vehicle overmaning detection method of claim 3, wherein the determining occupant modification data based on the occupant modification time and the region detection data comprises:
determining the number of getting-on persons and the number of getting-off persons of the target vehicle according to the area detection data;
and generating a passenger change sequence according to the passenger change time in a preset period, the corresponding number of the passengers getting on the train and the corresponding number of the passengers getting off the train.
6. The vehicle overload detection method of claim 1, wherein the vehicle overload detection based on the occupant modification data and the historical occupant counts comprises:
determining a number of in-vehicle occupants of the target vehicle based on the historical number of occupants and the occupant modification data;
and if the number of the passengers in the vehicle is larger than the number of the passengers in the vehicle, judging that the target vehicle exceeds the passengers.
7. A vehicle overmaning detection device, comprising:
the vehicle detection module is used for acquiring vehicle detection data, and the vehicle detection data at least comprises license plate data of a target vehicle;
the first data acquisition module is used for detecting the passenger change condition of the target vehicle in a preset range based on the vehicle detection data to obtain passenger change data;
a second data acquisition module for acquiring a historical number of occupants of the target vehicle based on the vehicle detection data;
a detection module to perform vehicle over-occupant detection based on the occupant modification data and the historical occupant count.
8. A vehicle overmaning detection system, comprising: a vehicle detection device, a roadside detection device, and a server device; the server equipment is respectively connected with the vehicle detection equipment and the roadside detection equipment, and the vehicle detection equipment is connected with the roadside detection equipment;
the vehicle detection equipment is used for acquiring vehicle detection data of a target vehicle, and the vehicle detection data at least comprises license plate data of the target vehicle;
the roadside detection equipment is used for acquiring regional monitoring data within a preset range;
the server device is configured to perform the vehicle overmaning detection method of any one of claims 1 to 6.
9. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and the processor is configured to execute the computer program to perform the vehicle overmaning detection method of any one of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the vehicle overmaning detection method of one of claims 1 to 6.
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| CN202211434210.2A CN115861979A (en) | 2022-11-16 | 2022-11-16 | Vehicle overload detection method, device, system, electronic device and storage medium |
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| CN202211434210.2A CN115861979A (en) | 2022-11-16 | 2022-11-16 | Vehicle overload detection method, device, system, electronic device and storage medium |
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