CN112598912B - Bayonet interval acquisition method and device, computer equipment and storage medium - Google Patents
Bayonet interval acquisition method and device, computer equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- 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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- 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
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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
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The embodiment of the application discloses a bayonet interval acquisition method, a bayonet interval acquisition device, computer equipment and a storage medium; the method comprises the following steps: obtaining data of a vehicle at a gate; carrying out data processing on the vehicle data at the gate to obtain effective vehicle data; counting the total number of the snapshots and the total number of the effective groups in the continuous effective vehicle data; calculating the average time interval of the gates according to the total times of the snapshots, the preset duration and the total number of the effective packets; calculating the average bayonet spacing; the embodiment of the application processes and screens vehicle data by acquiring the bayonets, obtains total times of vehicle snapshot and total time of vehicle snapshot, calculates average time interval of vehicles passing through the bayonets, acquires average vehicle speed of the vehicles to obtain average interval of the bayonets, thereby obtaining density of the bayonets on different roads, acquiring accurate data, analyzing urban traffic road conditions according to the density of the bayonets, and improving urban traffic management level.
Description
Technical Field
The embodiment of the application relates to the technical field of road traffic, in particular to a bayonet interval acquisition method, a bayonet interval acquisition device, computer equipment and a storage medium.
Background
With the pace of road construction being accelerated, monitoring equipment on traffic roads is more and more intelligent, but the contradiction between the current situation of traffic management and the demand still exists. Under the circumstances, how to improve the urban traffic management level, suppress traffic accidents, and improve the social security comprehensive management level becomes a problem to be solved urgently by the current public security and protection unit. The urban traffic condition can be analyzed by obtaining the density of the existing urban bayonet devices, the existing urban road network is complex in staggering, the existing bayonet devices express the density by the single-thread device spacing, the connection relation of different roads is not considered, the data of the bayonet density is inaccurate, the urban road condition cannot be analyzed according to the bayonet density, and therefore the urban traffic management level is improved.
Disclosure of Invention
The embodiment of the application provides a bayonet interval acquisition method and device, computer equipment and a storage medium, and aims to solve the problem that bayonet density data is inaccurate as the connection relation of different roads is not considered in the conventional bayonet interval acquisition method.
In a first aspect, an embodiment of the present application provides a bayonet interval obtaining method, including:
obtaining gate vehicle data, wherein the gate vehicle data comprise a gate number, a vehicle snapshot picture and picture snapshot time;
processing the vehicle data at the gate according to a preset screening rule to obtain effective vehicle data;
counting the total times of the snapshots in the continuous effective vehicle data, and grouping the continuous effective vehicle data according to a preset time length to obtain the total number of effective groups;
calculating the average time interval of the gates according to the total times of the snapshots, the preset duration and the total number of the effective packets;
and obtaining the average vehicle speed of the vehicle, and calculating the average bayonet distance according to the average bayonet time interval and the average vehicle speed of the vehicle.
Further, the processing the vehicle data at the checkpoint according to the preset screening rule to obtain effective vehicle data includes:
carrying out data processing on the vehicle data at the gate to obtain first vehicle data;
screening the first vehicle data according to the gate numbers, and if the gate number of the first vehicle snapshot picture of the first vehicle data is the same as the gate number of the last vehicle snapshot picture, listing the first vehicle data as invalid vehicle data and filtering;
if the gate number of the first vehicle snapshot picture of the first vehicle data is different from the gate number of the last vehicle snapshot picture, listing the first vehicle data as second vehicle data;
screening the second vehicle data according to the picture snapshot time, and if the time interval between the picture snapshot time of the last vehicle snapshot picture of the second vehicle data and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is less than a second set time or greater than a third set time, listing the second vehicle data as invalid vehicle data and filtering;
and if the time interval between the picture snapshot time of the last vehicle snapshot picture and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is greater than the second set time and less than the third set time, listing the second vehicle data as valid vehicle data.
Further, the counting the total number of snapshots in the continuous valid vehicle data includes:
the total number of snapshots in the statistical continuous valid vehicle data is:
wherein N is the vehicle snapshot number of times, and X is the number of segments of the continuous effective vehicle data.
Further, the calculating the average time interval of the gates according to the total number of the snapshots, the preset duration and the total number of the effective packets includes:
obtaining total snapshot time by multiplying the preset time length by the total number of the effective groups;
calculating to obtain the average time interval of the bayonets as follows according to the total snapshot time and the total snapshot times:
wherein t is a preset duration, and Y is the total number of valid packets.
Further, the calculating an average bayonet distance by the bayonet average time interval and the vehicle average vehicle speed includes:
the average bayonet spacing is calculated by multiplying the average time interval of the bayonets by the average vehicle speed of the vehicle: l ═ V × T;
where V is the vehicle average speed.
Further, the data processing of the vehicle data at the gate to obtain the first vehicle data includes:
extracting features of the vehicle snapshot pictures, and extracting feature data in the vehicle snapshot pictures, wherein the feature data comprise vehicle numbers and vehicle quantity;
and arranging the data of the same vehicle number according to the checkpoint number, and arranging the data of the same checkpoint number according to the picture snapshot time to obtain first vehicle data.
In a second aspect, an embodiment of the present application provides a bayonet interval acquisition apparatus, including:
the data acquisition module is used for acquiring vehicle data of a gate, wherein the vehicle data of the gate comprises a gate number, a vehicle snapshot picture and picture snapshot time;
the data processing module is used for processing the vehicle data at the gate according to a preset screening rule to obtain effective vehicle data;
the data counting module is used for counting the total times of the snapshots in the continuous effective vehicle data and grouping the continuous effective vehicle data according to preset time length to obtain the total number of effective groups;
the data calculation module is used for calculating the average time interval of the gates according to the total times of the snapshots, the preset duration and the total number of the effective groups; and the vehicle speed control device is also used for acquiring the average vehicle speed of the vehicle and calculating the average bayonet distance according to the average bayonet time interval and the average vehicle speed of the vehicle.
Further, the data processing module comprises a preliminary processing unit, a first screening unit and a second screening unit;
the primary processing unit is used for carrying out data processing on the vehicle data at the gate to obtain first vehicle data;
the first screening unit is used for screening the first vehicle data according to the gate serial number, and if the gate serial number of the first vehicle snapshot picture of the first vehicle data is the same as the gate serial number of the last vehicle snapshot picture, the first vehicle data is listed as invalid vehicle data and is filtered; if the bayonet number of the first vehicle snapshot picture of the first vehicle data is different from the bayonet number of the last vehicle snapshot picture, listing the first vehicle data as second vehicle data;
the second screening unit is used for screening the second vehicle data according to the picture snapshot time, and if the time interval between the picture snapshot time of the last vehicle snapshot picture of the second vehicle data and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is less than a second set time or more than a third set time, the second vehicle data is listed as invalid vehicle data and is filtered; and if the time interval between the picture snapshot time of the last vehicle snapshot picture and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is greater than the second set time and less than the third set time, listing the second vehicle data as valid vehicle data.
Further, the data statistics module is further configured to: the total number of snapshots in the statistical continuous valid vehicle data is:
wherein N is the vehicle snapshot number of times, and X is the number of segments of the continuous effective vehicle data.
Further, the data calculation module is further configured to: the average bayonet spacing is calculated by multiplying the average time interval of the bayonets by the average vehicle speed of the vehicle: l ═ V × T; where V is the vehicle average speed.
Further, the data calculation module is further configured to: obtaining total snapshot time by multiplying the preset time length by the total number of the effective groups; calculating to obtain the average time interval of the bayonets according to the total snapshot time and the total snapshot times:
wherein t is a preset duration, and Y is the total number of valid packets.
Further, the data processing module is further configured to perform feature extraction on the vehicle snapshot picture, and extract feature data in the vehicle snapshot picture, where the feature data includes a vehicle number and a vehicle number; and arranging the data of the same vehicle number according to the checkpoint number, and arranging the data of the same checkpoint number according to the picture snapshot time to obtain first vehicle data.
In a third aspect, embodiments of the present application provide a computer device comprising a memory and one or more processors;
the memory to store one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the bayonet interval acquisition method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the bayonet interval acquisition method according to the first aspect when executed by a computer processor.
The embodiment of the application processes and screens vehicle data by acquiring the bayonets, obtains total times of vehicle snapshot and total time of vehicle snapshot, calculates average time interval of vehicles passing through the bayonets, acquires average vehicle speed of the vehicles to obtain average interval of the bayonets, thereby obtaining density of the bayonets on different roads, acquiring accurate data, analyzing urban traffic road conditions according to the density of the bayonets, and improving urban traffic management level.
Drawings
Fig. 1 is a flowchart of a card slot obtaining method provided in an embodiment of the present application;
fig. 2 is a flowchart of another bayonet interval acquisition method provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a bayonet spacing acquisition device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.
The method for obtaining the bayonet interval obtains total times of vehicle snapshot and total time of vehicle snapshot by obtaining the data of the vehicle at the bayonet for processing and screening, calculates the average time interval of the vehicle passing through the bayonet, obtains the average speed of the vehicle to obtain the average interval of the bayonet, thereby obtaining the density of the bayonet devices on different roads, obtaining accurate data, analyzing the urban traffic road condition according to the density of the bayonet devices, and improving the urban traffic management level. The existing bayonet equipment expresses the density by the equipment interval of a single thread, and the connection relation of different roads is not considered, so that the data of the bayonet density is inaccurate, the urban road condition cannot be analyzed according to the bayonet density, and the urban traffic management level is not favorably improved. Therefore, the method for acquiring the bayonet interval provided by the embodiment of the application is provided, and the problem that bayonet density data is inaccurate due to the fact that the connection relation of different roads is not considered in the conventional method for acquiring the bayonet interval is solved.
The bayonet interval acquisition method provided in the embodiments may be executed by a bayonet interval acquisition device, and the bayonet interval acquisition device may be implemented in a software and/or hardware manner and integrated in a bayonet interval acquisition device. Wherein, the bayonet interval acquisition device can be a computer or other devices.
Fig. 1 is a flowchart of a bayonet interval acquisition method according to an embodiment of the present disclosure. Referring to fig. 1, the method for acquiring the bayonet interval specifically includes:
and 110, obtaining data of the vehicle at the gate, wherein the data of the vehicle at the gate comprises a gate number, a vehicle snapshot picture and picture snapshot time.
Illustratively, a vehicle at a gate is captured by a device arranged at the gate to obtain a captured image of the vehicle, optionally, the device at the gate is a camera at the gate, and the captured image of the vehicle and the corresponding captured time of the image are acquired by the camera at the gate; optionally, the bayonet number is obtained according to a device arranged at the bayonet, and optionally, the bayonet device is a bayonet memory; the bayonet numbers acquire different coding numbers according to different regions, wherein the bayonet numbers are acquired according to the codes of local cities and counties; combining the vehicle snapshot picture, the picture snapshot time and the gate number and sending the combined picture to a Redis database to obtain gate vehicle data; it can be understood that the gate vehicle data of a specific parcel is acquired according to a requirement, wherein the parcel may be a city, a district, a county, or a certain parcel divided according to the actual situation.
Exemplarily, a rule for acquiring the vehicle data of the gate is set, wherein the rule comprises that the data of the gate in the daytime is acquired by acquiring the vehicle data of the gate, the vehicle speed, the vehicle type and the snapshot data in the daytime and the night are greatly different, the data volume in the daytime is large, the snapshot effect is good, and the analysis is more suitable; optionally, the daytime period is 7:00-22: 00. Optionally, the area and the time period of the vehicle data at the gate can be selected and set according to specific situations.
And 120, processing the vehicle data at the gate according to a preset screening rule to obtain effective vehicle data.
Illustratively, data of vehicles at a checkpoint are acquired from a Redis database for data processing, the vehicle snapshot pictures are subjected to feature extraction, and data of vehicle numbers, vehicle colors, vehicle numbers and the like in the vehicle snapshot pictures are extracted, wherein the data of the same vehicle number are arranged according to the checkpoint numbers, the data of the same checkpoint number are further arranged according to the picture snapshot time, and the arranged data and the vehicle numbers are combined to obtain a vehicle array.
Exemplarily, vehicle arrays are screened according to the bayonet numbers and the picture capturing time, and the arrays meeting the following conditions in the vehicle arrays are screened out: the bayonet number of the first vehicle snapshot picture is different from the bayonet number of the last vehicle snapshot picture, and the time interval between the picture snapshot time of the first vehicle snapshot picture and the picture snapshot time of the last vehicle snapshot picture is greater than 90 seconds and less than one hour, and the time interval is recorded as effective vehicle data.
Illustratively, the total number of the snapshots in the valid vehicle data is counted according to the picture snapshot time, that is, the number of the snapshots of all vehicle numbers in the valid vehicle data is counted, and optionally, the total number of the snapshots can be obtained by multiplying the average total number of the snapshots of each vehicle by the total number of the vehicles; optionally, the total number of vehicles is the number of different types of vehicles; optionally, the average total number of times that each vehicle is snapshotted may be input by analyzing the valid vehicle data by the user, or may be obtained by processing and analyzing the valid vehicle data by the system according to a set rule; there are various methods for obtaining the average total number of times that each vehicle is captured by processing and analyzing the valid vehicle data according to the set rule, and it should be understood that this embodiment is not limited thereto.
Specifically, the effective vehicle data obtained after the vehicle array is screened is counted, the total number of the snapshots in the continuous effective vehicle data is counted, that is, the number of the snapshots in each continuous effective vehicle data is added to obtain the total number of the snapshots, optionally, the number of the snapshots in each continuous effective vehicle data is set to be N-1, and then the total number of the snapshots is N1-1+N2-1+...+N x1 is that
And grouping the continuous effective vehicle data according to a preset time length to obtain the total number of effective groups.
Illustratively, the preset time is 5 minutes, that is, 5 minutes are set as a group, the valid vehicle data is an array arranged according to the picture snapshot time, and therefore the valid vehicle data is divided into a group according to 5 minutes to obtain the total number of valid groups; each vehicle does not run on the road surface all the time, and the parking time and the parking times of the vehicles can greatly influence the analysis, so that the influence of the parking of the vehicles is reduced by taking 5 minutes as unit time; the preset duration can be set and adjusted according to the conditions of different areas.
And 140, calculating the average time interval of the gates according to the total times of the snapshots, the preset time length and the total number of the effective groups.
Illustratively, the total time of the snapshot is obtained by multiplying the preset time length by the total number of the effective packets; and calculating the average duration of the vehicle passing through the two gates according to the total snapshot time and the total snapshot times of the effective vehicle data, namely the average time interval of the gates.
And 150, acquiring the average vehicle speed of the vehicle, and calculating the average bayonet spacing according to the bayonet average time interval and the average vehicle speed of the vehicle.
The method includes the steps that vehicle average speed is obtained, optionally, the vehicle average speed can be obtained according to business experience of relation between traffic conditions and speed of each area, optionally, the vehicle average speed can be set through user input, or the system can automatically obtain the city vehicle average speed according to business experience of relation between traffic conditions and speed of each area; and obtaining the average bayonet space according to the average bayonet time interval multiplied by the average vehicle speed of the vehicle.
Illustratively, data are acquired according to requirements, and an average bayonet spacing of a specific parcel is calculated, wherein the parcel may be a city, a district, a county, or a certain parcel divided according to reality; optionally, the average bayonet spacing of a certain area is obtained, and the density of the bayonet equipment in the area can be analyzed, so that the urban traffic road condition can be analyzed according to the density of the bayonet equipment, and the density of the bayonet equipment can be adjusted; optionally, the obtained average bayonet intervals of different areas can be compared, so that the bayonet equipment of each area is adjusted, and the urban traffic management level is improved.
The above steps are not performed in the exact order in which they are described, which should be understood as an overall solution.
On the basis of the foregoing embodiment, fig. 2 is a flowchart of another bayonet interval acquisition method provided in an embodiment of the present application. The bayonet interval acquisition method is embodied by the bayonet interval acquisition method. Referring to fig. 2, the bayonet interval acquisition method includes:
and 210, carrying out data processing on the vehicle data at the gate to obtain first vehicle data.
And step 220, screening the first vehicle data according to the gate numbers, and if the gate number of the first vehicle snapshot picture of the first vehicle data is the same as the gate number of the last vehicle snapshot picture, listing the first vehicle data as invalid vehicle data and filtering the invalid vehicle data.
Illustratively, the vehicle data comprises vehicle numbers, vehicle colors, vehicle numbers and the like, and is sorted according to the bayonet numbers and the picture capturing time; optionally, screening the vehicle data according to the bayonet number; it can be understood that if the gate number of the first vehicle snapshot picture of the vehicle array is the same as the gate number of the last vehicle snapshot picture, that is, the gates for performing the first snapshot and the last snapshot on the vehicle are the same, it can be basically determined that the vehicle state is abnormal, for example, the vehicle is parked at the roadside; the vehicle array is not analytically meaningful, the vehicle array is invalidated, classified as an invalid vehicle array and the invalid vehicle array is filtered for deletion.
And 230, if the bayonet number of the first vehicle snapshot picture of the first vehicle data is different from the bayonet number of the last vehicle snapshot picture, listing the first vehicle data as second vehicle data.
For example, if the gate number of the first vehicle snapshot picture of the vehicle array is different from the gate number of the last vehicle snapshot picture of the vehicle array, that is, the gates for performing the first snapshot and the last snapshot on the vehicle are different, the vehicle array has an analytic significance, and the vehicle array is valid vehicle data and is recorded as a second vehicle array.
And 240, screening the second vehicle data according to the picture snapshot time, and if the time interval between the picture snapshot time of the last vehicle snapshot picture of the second vehicle data and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is less than a second set time or more than a third set time, listing the second vehicle data as invalid vehicle data and filtering.
Exemplarily, the second vehicle array obtained after screening the bayonet number is further screened according to the picture capturing time; it can be understood that if the time interval between the picture capturing time of the last vehicle capturing picture of the second vehicle array and the picture capturing time of the first vehicle capturing picture is less than the second set time or greater than the third set time, that is, the capturing time interval in the second vehicle array is too small or too large, it can be basically determined that the vehicle is in an abnormal driving state, for example, the vehicle is stopped at the roadside; if the second vehicle array has no analytical significance, the second vehicle array is invalidated and classified as an invalid vehicle array, and the invalid vehicle array is deleted and filtered; the second setting time and the third setting time can be set according to the area and the actual situation, and optionally, the second setting time is 90 seconds, and optionally, the third setting time is 1 hour.
And step 250, if the time interval between the picture snapshot time of the last vehicle snapshot picture and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is greater than the second set time and less than the third set time, listing the second vehicle data as valid vehicle data.
For example, if the time interval between the picture capturing time of the last vehicle capturing picture of the second vehicle array and the picture capturing time of the first vehicle capturing picture is greater than the second set time and less than the third set time, the capturing time interval of the second vehicle array is normal, and the vehicle array is recorded as valid vehicle data.
Exemplarily, where N is the number of vehicle snapshots and X is the number of consecutive segments of valid vehicle data; counting the total number of the snapshots in the effective vehicle data, recording the number of the snapshots in each continuous effective vehicle data as 1, wherein the number of the snapshots in each continuous effective vehicle data is N, the number of the segments of the continuous effective vehicle data is X, and the total number of the snapshots in the continuous effective vehicle data is obtained
calculating to obtain the average time interval of the bayonets as follows according to the total snapshot time and the total snapshot times:
exemplarily, wherein t is a preset time duration, Y is a total number of valid packets, and X is a number of consecutive segments of valid vehicle data; it can be understood that the number of times of being snapped in each continuous effective vehicle data is N, the bayonet interval in each continuous effective vehicle data is N-1, and since the number of the continuous effective vehicle data is X, it can be understood that the bayonet interval in the continuous effective vehicle data is N
Calculating the average duration of the vehicle passing through the two gates by dividing the total snapshot time by the gate interval in the continuous effective vehicle data, namely calculating the average time interval of the two gates as follows:
optionally, the preset time period t is taken as 5 minutes.
The method includes the following steps that V is an average vehicle speed of a vehicle, optionally, the average vehicle speed of the vehicle can be obtained according to business experience of the relation between traffic conditions and vehicle speeds of various regions, optionally, the average vehicle speed of the vehicle can be set by user input, or the average vehicle speed of the vehicle can be automatically obtained by a system according to business experience of the relation between the traffic conditions and the vehicle speeds of various regions; wherein, the average bayonet interval is calculated by multiplying the average time interval of the bayonets by the average vehicle speed of the vehicle: l ═ V × T.
For example, the data of the vehicle at the gate is acquired from the gate 1, the vehicle a is detected to pass through the gate 1 at 7 o 'clock 10, pass through other gates from the gate 1 and stop at 7 o' clock 20, the vehicle a is detected to pass through the gate 1 again at 21 o 'clock 50, pass through other gates from the gate 1 and stop at 22 o' clock 10; detecting that the vehicle B passes through the bayonet 1 at point 7 and point 30, passes through other bayonets from the bayonet 1, and stops at point 7 and point 50; the vehicle C is detected to pass through the bayonet 1 at 8 points 30 and reach the bayonet 1 again at 8 points 50, and then is stopped; and counting the vehicle snap pictures of the vehicles A, B and C passing through the gates and the specific time for snap-shooting the vehicle snap pictures through the gates to obtain the vehicle data of the gates.
It can be understood that the obtained data of the vehicles at the gate is processed according to a preset screening rule, that is, the vehicles a, B and C are respectively arranged according to the gate number and the picture snapshot time, and the data of the vehicles a, B and C are screened according to the gate 1; the number of the bayonet of the first vehicle snapshot picture of the vehicle C is the same as the number of the bayonet of the last vehicle snapshot picture of the vehicle C, and the bayonet is 1, so that the vehicle number sequence of the vehicle C is invalid vehicle data and is filtered; the image capturing time interval of the vehicle A between 7 o ' clock 20 minutes and 21 o ' clock 50 minutes is more than one hour, so that the vehicle data of the vehicle A between 7 o ' clock 20 minutes and 21 o ' clock 50 minutes are listed as invalid data, meanwhile, the vehicle data after the vehicle A22 o ' clock are filtered, so that the vehicle data of the vehicle A between 7 o ' clock 10 minutes and 7 o ' clock 20 minutes are obtained as first section valid vehicle data, the vehicle data of the vehicle A between 21 o ' clock 50 minutes and 22 o ' clock is taken as second section valid vehicle data, and the vehicle data of the vehicle B between 7 o ' clock 30 minutes and 7 o ' clock 50 minutes is taken as third section valid vehicle data.
Counting the total number of times of capturing three sections of effective vehicle data, wherein if the number of times of capturing the first section of effective vehicle data is 4, the number of times of capturing the second section of effective vehicle data is 3, and the number of times of capturing the third section of effective vehicle data is 9, namely the total number of times of capturing the three sections of effective vehicle data is 16, and the bayonet interval of the three sections of effective vehicle data is 13; setting the preset time length to be 5 minutes, namely grouping three sections of effective vehicle data according to 5 minutes to obtain the total number of effective groups, wherein the total number of effective groups of the first section of effective vehicle data is 2 groups, the number of effective groups of the second section of effective vehicle data is 2 groups, the number of effective groups of the third section of effective vehicle data is 4 groups, the total number of effective groups is 8 groups, multiplying 5 minutes by 8 groups to obtain the snapshot time of 40 minutes, obtaining the average bayonet time interval of 40/13, obtaining the average bayonet interval of V x 40/13, and obtaining V as the average vehicle speed.
On the basis of the above embodiment, the bayonet interval acquisition method may be further embodied as: carrying out data processing on the bayonet vehicle data to obtain first vehicle data, wherein the data processing comprises the following steps:
extracting features of the vehicle snapshot pictures, and extracting feature data in the vehicle snapshot pictures, wherein the feature data comprise vehicle numbers and vehicle quantity;
and arranging the data of the same vehicle number according to the checkpoint number, and arranging the data of the same checkpoint number according to the picture snapshot time to obtain first vehicle data.
For example, a vehicle snapshot is obtained through a bayonet device, and feature extraction is performed on the vehicle snapshot, optionally, image processing and feature extraction may be adopted to extract feature data of the vehicle snapshot, where there are various methods for image processing and feature extraction, and it is understood that this embodiment is not limited thereto; optionally, the characteristic data includes data of vehicle number, vehicle color, vehicle number, and the like.
Exemplarily, the processed and obtained feature data are further processed according to the bayonet numbers, specifically, the feature data of the same vehicle number are respectively arranged according to the sequence of the bayonet numbers, and an array of a plurality of items of data of different vehicles sorted according to the bayonet numbers is obtained; optionally, the groups are further arranged according to the picture capturing time, wherein the data of the plurality of items of data of different vehicles in the same gate number are arranged according to the picture capturing time, an array of the plurality of items of data of different vehicles sorted according to the gate number and the picture capturing time is obtained, and the array is combined with the number of the vehicles to obtain first vehicle data, that is, the first vehicle data includes the total number of the vehicles in different types, the total number of the vehicles in different gate numbers, the total number of the vehicles in the captured pictures of different vehicles, the total number of the vehicles in the whole first vehicle data, the total number of the captured pictures and the like.
On the basis of the foregoing embodiment, fig. 3 is a schematic structural diagram of a bayonet interval acquisition device provided in an embodiment of the present application. Referring to fig. 3, the bayonet interval obtaining apparatus provided in this embodiment specifically includes: a data acquisition module 301, a data processing module 302, a data statistics module 303 and a data calculation module 304.
The data acquisition module 301 is configured to acquire vehicle data of a gate, where the vehicle data of the gate includes a gate number, a vehicle snapshot picture, and a picture snapshot time;
the data processing module 302 is configured to process the vehicle data at the gate according to a preset screening rule, so as to obtain valid vehicle data.
The data statistics module 303 is configured to count total number of snapshots in continuous effective vehicle data, and group the continuous effective vehicle data according to a preset time length to obtain a total number of effective groups.
The data calculation module 304 is configured to calculate a bayonet average time interval according to the total number of snapshots, a preset duration, and a total number of valid packets; and the vehicle speed control device is also used for acquiring the average vehicle speed of the vehicle and calculating the average bayonet distance according to the average bayonet time interval and the average vehicle speed of the vehicle.
Further, the data processing module 302 includes a preliminary processing unit, a first screening unit and a second screening unit; the primary processing unit is used for carrying out data processing on the vehicle data at the gate to obtain first vehicle data; the first screening unit is used for screening the first vehicle data according to the gate serial number, and if the gate serial number of the first vehicle snapshot picture of the first vehicle data is the same as the gate serial number of the last vehicle snapshot picture, the first vehicle data is listed as invalid vehicle data and is filtered; if the gate number of the first vehicle snapshot picture of the first vehicle data is different from the gate number of the last vehicle snapshot picture, listing the first vehicle data as second vehicle data; the second screening unit is used for screening the second vehicle data according to the picture snapshot time, and if the time interval between the picture snapshot time of the last vehicle snapshot picture of the second vehicle data and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is less than a second set time or more than a third set time, the second vehicle data is listed as invalid vehicle data and is filtered; and if the time interval between the picture snapshot time of the last vehicle snapshot picture and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is greater than the second set time and less than the third set time, listing the second vehicle data as valid vehicle data.
Further, the data statistics module 303 is further configured to: the total number of snapshots in the statistical continuous valid vehicle data is:
wherein N is the vehicle snapshot number of times, and X is the number of segments of the continuous effective vehicle data.
Further, the data calculation module 304 is further configured to: the average bayonet spacing is calculated by multiplying the average time interval of the bayonets by the average vehicle speed of the vehicle: l ═ V × T; where V is the vehicle average speed.
Further, the data calculation module 304 is further configured to: obtaining total snapshot time by multiplying the preset time length by the total number of the effective groups; calculating to obtain the average time interval of the bayonets as follows according to the total snapshot time and the total snapshot times:
wherein t is a preset time (optionally, the preset time is 5 minutes), and Y is the total number of valid packets.
Further, the data processing module 302 is further configured to perform feature extraction on the vehicle snapshot picture, and extract feature data in the vehicle snapshot picture, where the feature data includes a vehicle number and a vehicle number; and arranging the data of the same vehicle number according to the checkpoint number, and arranging the data of the same checkpoint number according to the picture snapshot time to obtain first vehicle data.
According to the method, the vehicle data of the vehicle at the gate are acquired for processing and screening, the total number of times of snapshot and the total time of snapshot of the vehicle are obtained, the average time interval of the vehicle passing through the gates is calculated, the average speed of the vehicle is acquired to obtain the average interval of the gates, the density of gate equipment on different roads is obtained, the acquired data are accurate, the urban traffic road condition can be analyzed according to the density of the gate equipment, and the urban traffic management level is improved.
The bayonet interval acquisition device provided by the embodiment of the application can be used for executing the bayonet interval acquisition method provided by the embodiment, and has corresponding functions and beneficial effects.
The embodiment of the application also provides computer equipment which can be integrated with the bayonet interval acquisition device provided by the embodiment of the application. Fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application. Referring to fig. 4, the computer apparatus includes: an input device 43, an output device 44, a memory 42, and one or more processors 41; the memory 42 for storing one or more programs; when the one or more programs are executed by the one or more processors 41, the one or more processors 41 are enabled to implement the bayonet interval acquisition method provided in the above embodiment. Wherein the input device 43, the output device 44, the memory 42 and the processor 41 may be connected by a bus or other means, for example, in fig. 4.
The processor 41 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 42, that is, implements the above-described bayonet interval acquisition method.
The computer device provided by the above can be used to execute the bayonet interval acquisition method provided by any of the above embodiments, and has corresponding functions and beneficial effects.
Embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a bayonet interval acquisition method, where the bayonet interval acquisition method includes: obtaining gate vehicle data, wherein the gate vehicle data comprise a gate number, a vehicle snapshot picture and picture snapshot time; processing the vehicle data at the gate according to a preset screening rule to obtain effective vehicle data; counting the total times of the snapshots in the continuous effective vehicle data, and grouping the continuous effective vehicle data according to a preset time length to obtain the total number of effective groups; calculating the average time interval of the gates according to the total times of the snapshots, the preset duration and the total number of the effective packets; and obtaining the average vehicle speed of the vehicle, and calculating the average bayonet distance according to the average bayonet time interval and the average vehicle speed of the vehicle.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDRRAM, SRAM, EDORAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected via a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the bayonet interval acquisition method described above, and may also perform related operations in the bayonet interval acquisition method provided in any embodiments of the present application.
The bayonet interval acquisition device, the storage medium, and the computer device provided in the above embodiments may execute the bayonet interval acquisition method provided in any embodiment of the present application, and reference may be made to the bayonet interval acquisition method provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. A bayonet interval acquisition method is characterized by comprising the following steps:
obtaining gate vehicle data, wherein the gate vehicle data comprise a gate number, a vehicle snapshot picture and picture snapshot time;
processing the vehicle data at the gate according to a preset screening rule to obtain effective vehicle data;
counting the total times of the snapshots in the continuous effective vehicle data, and grouping the continuous effective vehicle data according to a preset time length to obtain the total number of effective groups;
calculating the average time interval of the gates according to the total times of the snapshots, the preset duration and the total number of the effective packets;
and obtaining the average vehicle speed of the vehicle, and calculating the average bayonet distance according to the average bayonet time interval and the average vehicle speed of the vehicle.
2. The bayonet interval acquisition method according to claim 1, wherein the processing the bayonet vehicle data according to a preset screening rule to obtain valid vehicle data comprises:
carrying out data processing on the vehicle data at the gate to obtain first vehicle data;
screening the first vehicle data according to the gate numbers, and if the gate number of the first vehicle snapshot picture of the first vehicle data is the same as the gate number of the last vehicle snapshot picture, listing the first vehicle data as invalid vehicle data and filtering;
if the gate number of the first vehicle snapshot picture of the first vehicle data is different from the gate number of the last vehicle snapshot picture, listing the first vehicle data as second vehicle data;
screening the second vehicle data according to the picture snapshot time, and if the time interval between the picture snapshot time of the last vehicle snapshot picture of the second vehicle data and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is less than a second set time or greater than a third set time, listing the second vehicle data as invalid vehicle data and filtering;
and if the time interval between the picture snapshot time of the last vehicle snapshot picture and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is greater than the second set time and less than the third set time, listing the second vehicle data as valid vehicle data.
3. The gate interval acquisition method according to claim 1, wherein the counting of the total number of snapshots in the continuous valid vehicle data comprises:
the total number of snapshots in the statistical continuous valid vehicle data is:
wherein N is the vehicle snapshot number of times, and X is the number of segments of the continuous effective vehicle data.
4. The bayonet interval acquisition method according to claim 3, wherein calculating the average time interval of the bayonet according to the total number of the snapshots, the preset duration and the total number of the valid packets comprises:
obtaining total snapshot time by multiplying the preset time length by the total number of the effective groups;
calculating to obtain the average time interval of the bayonets as follows according to the total snapshot time and the total snapshot times:
wherein t is a preset duration, and Y is the total number of valid packets.
5. The bayonet interval acquisition method according to claim 4, wherein said calculating an average bayonet interval from the bayonet average time interval and the vehicle average vehicle speed comprises:
the average bayonet spacing is calculated by multiplying the average time interval of the bayonets by the average vehicle speed of the vehicle: l ═ V × T;
where V is the vehicle average speed.
6. The gate interval obtaining method according to claim 2, wherein the data processing of the gate vehicle data to obtain first vehicle data includes:
extracting features of the vehicle snapshot pictures, and extracting feature data in the vehicle snapshot pictures, wherein the feature data comprise vehicle numbers and vehicle quantity;
and arranging the data of the same vehicle number according to the gate numbers, arranging the data of the same gate number according to the picture snapshot time, and combining the arranged data with the number of the vehicles to obtain first vehicle data.
7. A bayonet spacing acquisition device, comprising:
the data acquisition module is used for acquiring vehicle data of a gate, wherein the vehicle data of the gate comprises a gate number, a vehicle snapshot picture and picture snapshot time;
the data processing module is used for processing the vehicle data at the gate according to a preset screening rule to obtain effective vehicle data;
the data counting module is used for counting the total times of the snapshots in the continuous effective vehicle data and grouping the continuous effective vehicle data according to preset time length to obtain the total number of effective groups;
the data calculation module is used for calculating the average time interval of the checkpoint according to the total snapshot times, the preset duration and the total effective grouping number; and the vehicle speed control device is also used for acquiring the average vehicle speed of the vehicle and calculating the average bayonet distance according to the bayonet average time interval and the average vehicle speed of the vehicle.
8. The bayonet interval acquisition device according to claim 7, wherein the data processing module comprises a preliminary processing unit, a first screening unit and a second screening unit;
the primary processing unit is used for carrying out data processing on the vehicle data at the gate to obtain first vehicle data;
the first screening unit is used for screening the first vehicle data according to the gate serial number, and if the gate serial number of the first vehicle snapshot picture of the first vehicle data is the same as the gate serial number of the last vehicle snapshot picture, the first vehicle data is listed as invalid vehicle data and is filtered; if the gate number of the first vehicle snapshot picture of the first vehicle data is different from the gate number of the last vehicle snapshot picture, listing the first vehicle data as second vehicle data;
the second screening unit is used for screening the second vehicle data according to the picture snapshot time, and if the time interval between the picture snapshot time of the last vehicle snapshot picture of the second vehicle data and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is less than a second set time or more than a third set time, the second vehicle data is listed as invalid vehicle data and is filtered; and if the time interval between the picture snapshot time of the last vehicle snapshot picture and the picture snapshot time of the first vehicle snapshot picture of the second vehicle data is greater than the second set time and less than the third set time, listing the second vehicle data as valid vehicle data.
9. A computer device, comprising: a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a bayonet interval acquisition method as recited in any one of claims 1-6.
10. A storage medium containing computer-executable instructions for performing a bayonet spacing acquisition method as claimed in any one of claims 1 to 6 when executed by a computer processor.
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