CN114627565B - Intelligent parking charging management system based on artificial intelligence - Google Patents
Intelligent parking charging management system based on artificial intelligence Download PDFInfo
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- CN114627565B CN114627565B CN202210337847.3A CN202210337847A CN114627565B CN 114627565 B CN114627565 B CN 114627565B CN 202210337847 A CN202210337847 A CN 202210337847A CN 114627565 B CN114627565 B CN 114627565B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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Abstract
The invention discloses an intelligent parking charging management system based on artificial intelligence. The intelligent parking charging management system based on artificial intelligence comprises a target parking section information acquisition module, a vehicle parking basic information preliminary processing module, a vehicle parking time information acquisition module, a vehicle parking fee generation module and a fee payment tracking module; according to the invention, the target vehicles are classified, identified and timed, so that the parking cost corresponding to the vehicle to be parked is generated based on the vehicle type and parking duration corresponding to the vehicle to be parked, the problem that the vehicle parking time is not accurately recorded in the prior art is effectively solved, the accuracy of recording the vehicle parking starting time and the parking ending time is greatly improved, errors caused by a manual registration mode are avoided, the targeted management of the parking cost of the roadside vehicle is realized, and meanwhile, the rationality of the charging of the roadside vehicle is ensured.
Description
Technical Field
The invention belongs to the technical field of parking charge management, and relates to an intelligent parking charge management system based on artificial intelligence.
Background
Along with the rapid development of economy and the continuous acceleration of life rhythm of people, the demand of automobiles is in a rapid growth trend, the parking pressure of the automobiles is gradually improved, in order to relieve the parking pressure of the automobiles, temporary parking spaces are arranged on a plurality of road sections with better traffic capacity, and the current parking situation is effectively improved;
although the parking space established on the road has the characteristics of improving the space utilization rate and meeting the temporary parking requirement of vehicles, the roadside parking space planning and management is a problem to be improved urgently, especially the roadside parking charging is mainly charged in a mode of manually registering time by patrol personnel at present, and obviously, the charging management mode for roadside parking still has the following defects:
1. the manual registration mode of patrol personnel is easy to cause the phenomenon that the patrol personnel cannot find the car in time, so that the registration time is inaccurate, the recording accuracy of the car parking starting time and the parking ending time cannot be improved, meanwhile, a large error exists in the manual recording mode, the reliability of recorded information cannot be guaranteed, and the recording efficiency is low;
2. because the roadside temporary parking spaces have great space limitation, the occupied areas of different vehicles on the parking spaces and the influence conditions on the non-parking areas are different, the current roadside parking cost calculation is mainly calculated according to the parking time length and the parking charging rule corresponding to the vehicles, the pertinence of the roadside parking vehicle charging cannot be improved, and the rationality of the roadside parking vehicle charging cannot be improved;
3. because the roadside parking can not be provided with the barrier gate, the vehicle can also leave the parking area under the condition of not paying, the payment state of the vehicle is not tracked currently, the management efficiency of the roadside parking charge can not be improved, the constraint force on the roadside parking of the vehicle can not be improved, meanwhile, the vehicle for paying is not reminded currently, the influence on the driving credit of a vehicle owner caused by the fact that the parking charge is forgotten and not paid can not be reduced, and the income of an urban road management department can not be guaranteed on the other aspect.
Disclosure of Invention
In view of the above, in order to solve the problems in the background art, an intelligent parking charging management system based on artificial intelligence is proposed for roadside parking spaces, so as to realize intelligent management of charging for roadside parking spaces;
the purpose of the invention can be realized by the following technical scheme:
the invention provides an intelligent parking charging management system based on artificial intelligence, which comprises:
the target parking section information acquisition module is used for acquiring the number of parking spaces corresponding to the target parking section, and further acquiring basic information corresponding to each parking space in the target parking section and charging standard information of the target parking section, wherein the basic information corresponding to each parking space in the target parking section comprises a number, a size and a position corresponding to each parking space;
the vehicle parking basic information acquisition module is used for acquiring images of a vehicle through a camera in a target parking road section when the vehicle enters the target parking road section, marking the vehicle as a vehicle to be parked, and identifying basic information corresponding to the vehicle to be parked based on the acquired image corresponding to the vehicle to be parked;
the vehicle parking basic information primary processing module is used for carrying out primary analysis and processing on the vehicle to be parked based on the basic information corresponding to the vehicle to be parked to obtain the type corresponding to the vehicle to be parked and the vehicle type corresponding to the vehicle to be parked;
the vehicle parking time information acquisition module is used for acquiring real-time images of the parking spaces through the cameras in the position areas where the parking spaces are located, confirming the currently selected parking space of the vehicle to be parked based on the acquired images, extracting the images acquired by the cameras in the position areas where the currently selected parking space of the vehicle to be parked is located, and further acquiring the parking starting time point and the parking ending time point corresponding to the vehicle to be parked;
the vehicle parking fee generation module is used for acquiring the actual parking time length corresponding to the vehicle to be parked according to the parking starting time point corresponding to the vehicle to be parked and the parking ending time point corresponding to the vehicle to be parked, and calculating the parking fee corresponding to the vehicle to be parked by using a fee identification algorithm based on the actual parking time length corresponding to the vehicle to be parked;
and the payment tracking module is used for tracking the payment state corresponding to the vehicle to be parked according to the parking fee corresponding to the vehicle to be parked, confirming the payment state corresponding to the vehicle to be parked, and correspondingly processing the vehicle to be parked based on the payment state corresponding to the vehicle to be parked.
In an optional embodiment of the present invention, the charging standard information of the target parking section is specifically each time-keeping interval corresponding to each vehicle type in the target parking section and unit pricing charges corresponding to each vehicle type in each time-keeping interval in each date category, and each time-keeping interval is numbered according to a preset sequence, and is sequentially marked as 1,2,. J,. M, wherein the vehicle types include small, medium and large, and the date categories include working days and non-working days.
In an optional embodiment of the present invention, the specific identification process for identifying the basic information corresponding to the vehicle to be parked based on the acquired image corresponding to the vehicle to be parked includes: according to the image corresponding to the vehicle to be parked, extracting the whole outline and the license plate area outline corresponding to the vehicle to be parked from the image, identifying the license plate area outline corresponding to the vehicle to be parked by utilizing an image identification technology, acquiring the license plate number corresponding to the vehicle to be parked, and recording the whole outline and the license plate number corresponding to the vehicle to be parked as the basic information corresponding to the vehicle to be parked.
In an optional embodiment of the present invention, the specific analysis and processing process of performing the preliminary analysis and processing on the vehicle to be parked includes:
extracting a license plate number corresponding to the vehicle to be parked from basic information corresponding to the vehicle to be parked, classifying the vehicle to be parked as a vehicle which is not marked if the license plate number corresponding to the vehicle to be parked is not acquired, marking, and focusing on a head area corresponding to the vehicle to be parked based on an overall contour corresponding to the vehicle to be parked, so as to divide the head area contour corresponding to the vehicle to be parked, and further recognizing and obtaining a temporary license plate number corresponding to the vehicle to be parked and owner information corresponding to the vehicle to be parked, and storing the owner information to a parking management platform, wherein the owner information comprises a name of the owner and a contact way of the owner;
and if the license plate number corresponding to the vehicle to be parked is acquired, classifying the vehicle to be parked as a normal vehicle, matching and comparing the profile corresponding to the vehicle to be parked with the profiles corresponding to the preset vehicle types, and screening to obtain the vehicle type corresponding to the vehicle to be parked.
In an optional embodiment of the present invention, the process of confirming, based on the acquired image, the specific confirmation process corresponding to the currently selected parking space of the vehicle to be parked includes:
acquiring images currently acquired by the cameras in the position areas of the parking spaces, if the cameras in the position areas of the parking spaces do not acquire vehicle information currently, marking the parking spaces as blank parking spaces and filtering, otherwise, marking the parking spaces as parking spaces to be confirmed;
performing noise reduction and filtering processing on an image currently acquired by a camera in a position area where a parking space to be confirmed is located, and identifying and obtaining a license plate number corresponding to a current vehicle in the position area where each parking space to be confirmed is located based on the processed image in the position area where each parking space to be confirmed is located;
and matching and comparing the license plate number corresponding to the current vehicle in the position area of each parking space to be confirmed with the license plate number corresponding to the vehicle to be parked, and recording the parking space to be confirmed consistent with the license plate number of the vehicle to be parked as the selected parking space corresponding to the vehicle to be parked currently.
In an optional embodiment of the present invention, the specific identification process of the fee identification algorithm is as follows:
the method comprises the following steps of firstly, acquiring actual parking time and vehicle type corresponding to a vehicle to be parked;
secondly, matching and comparing the actual parking time corresponding to the vehicle to be parked and the vehicle type with each timing interval corresponding to each vehicle type, screening out each matched timing interval corresponding to the vehicle to be parked and the actual parking time corresponding to the vehicle to be parked in each matched timing interval, and marking each matched timing interval corresponding to the vehicle to be parked as t i I represents the number of each charging time period, i =1, 2.. N, wherein the number of the matched timing interval and the number of the timing interval are in a corresponding relation, and n is less than or equal to m;
thirdly, based on the vehicle type corresponding to the vehicle to be parked and the current date type, unit valuation fees corresponding to the vehicle to be parked in each matched timing interval are positioned from the charging standard information of the target parking road section;
and fourthly, leading the actual parking time length corresponding to the vehicle to be parked in each matched timing interval and the unit pricing cost corresponding to the vehicle to be parked in each matched timing interval into a calculation formula, and outputting the parking cost corresponding to the vehicle to be parked, wherein the specific calculation formula is
Wherein M represents the parking fee corresponding to the vehicle to be parked, T i Expressed as the actual parking duration, d, of the vehicle to be parked corresponding to the ith matched timing interval i And the unit valuation expense corresponding to the ith matched timing interval of the vehicle to be stopped is shown.
In an optional embodiment of the present invention, the payment status corresponding to the vehicle to be parked is tracked, and the payment status corresponding to the vehicle to be parked is confirmed to be used for retrieving the payment status corresponding to the vehicle to be parked from the target parking section management background according to the license plate number corresponding to the vehicle to be parked, where the payment status includes a paid status and an unpaid status.
In an optional embodiment of the present invention, the corresponding processing of the vehicle to be parked based on the payment status corresponding to the vehicle to be parked specifically includes: and when the payment state corresponding to the vehicle to be parked is the paid state, verifying the payment amount corresponding to the vehicle to be parked, further processing according to the verification result, and when the payment state corresponding to the vehicle to be parked is the unpaid state, processing the vehicle to be parked.
In an optional embodiment of the present invention, when the payment status corresponding to the vehicle to be parked is the payment status, the payment amount corresponding to the vehicle to be parked is verified, and the specific implementation process of the further processing according to the verification result is as follows:
the method comprises the steps of extracting a payment amount corresponding to a vehicle to be parked currently from a target parking section management background, comparing the payment amount corresponding to the vehicle to be parked currently with a parking fee corresponding to the vehicle to be parked to obtain a payment difference corresponding to the vehicle to be parked, and recording the payment difference as delta M, wherein the delta M = M '-M, and M' represents the payment amount corresponding to the vehicle to be parked currently;
if the payment difference corresponding to the vehicle to be parked is larger than 0, judging that the payment type corresponding to the vehicle to be parked is multi-payment, recording the payment difference amount corresponding to the vehicle to be parked as a payment returning amount, extracting the current corresponding payment mode of the vehicle to be parked from the target parking section management background, and returning the payment returning amount corresponding to the vehicle to be parked according to the payment mode corresponding to the vehicle to be parked;
if the payment difference value corresponding to the vehicle to be parked is smaller than 0, judging that the payment type corresponding to the vehicle to be parked is a low payment type, taking the payment difference value amount corresponding to the vehicle to be parked as a subsidy payment amount, extracting the owner contact way corresponding to the vehicle to be parked, automatically calling the subsidy payment reminding, extracting the payment amount corresponding to the vehicle to be parked again from the target parking section management background in a preset period, verifying the subsidy payment amount, if the vehicle to be parked does not carry out the subsidy payment in the preset period, marking that the vehicle is not completely paid, and uploading the license plate number corresponding to the vehicle to the parking management platform;
if the corresponding payment difference value of the vehicle to be parked is equal to 0, the payment type corresponding to the vehicle to be parked is judged to be normal payment, and a payment normal mark is carried out.
In an optional embodiment of the present invention, when the payment status corresponding to the vehicle to be parked is the unpaid status, the specific processing process corresponding to processing the vehicle to be parked includes: the method comprises the steps of extracting a vehicle owner contact way corresponding to a vehicle to be parked, carrying out automatic calling payment reminding, extracting a payment state corresponding to the vehicle to be parked at a target parking section management background again within a preset period, if the payment state corresponding to the vehicle to be parked is still an unpaid state, carrying out payment violation marking on the vehicle to be parked, uploading a license plate number corresponding to the vehicle to be parked to a parking management platform, if the payment state corresponding to the vehicle to be parked is an already paid state, repeatedly verifying the payment amount corresponding to the vehicle to be parked, and carrying out further processing steps according to a verification result.
The invention has the beneficial effects that:
(1) According to the intelligent parking charging management system based on artificial intelligence, the target vehicles are accurately classified, identified and timed through the target parking section information acquisition module, the vehicle parking time information acquisition module and the vehicle parking time information acquisition module in combination with the vehicle parking cost generation module, and the parking cost corresponding to the vehicles to be parked is generated based on the vehicle types and the parking time lengths corresponding to the vehicles to be parked, so that the problem that the vehicle parking time is not accurately recorded in the prior art is effectively solved, the accuracy of vehicle parking starting time and parking ending time recording is greatly improved, errors caused by an artificial registration mode are avoided, the recording efficiency of roadside parking space parking information is greatly improved, the targeted management of roadside vehicle parking cost is realized, and the reasonability of roadside parking vehicle charging is ensured.
(2) According to the invention, the vehicle parking time information acquisition module acquires the parking starting time point and the parking ending time point corresponding to the vehicle to be parked in an image mode, so that the problem of poor timeliness of the current manual registration mode is effectively solved, the parking state of the vehicle is visually displayed, and meanwhile, the accurate timing of vehicle parking is realized by performing timing evaluation based on the vehicle parking state, the randomness of the current vehicle parking timing is avoided, and the standardization of roadside vehicle parking timing is greatly improved.
(3) According to the invention, the payment tracking module tracks and processes the payment state corresponding to the vehicle to be parked in the payment tracking module, so that on one hand, the charging efficiency and the charging management effect of the roadside parking vehicle are effectively improved, the intellectualization of the roadside parking space charging management is realized, the constraint force on the roadside parking vehicle is further effectively improved to a certain extent, on the other hand, the timely reminding of the vehicle not being paid is realized, the influence of forgetting to pay the parking cost on the driving credit of the vehicle owner is effectively reduced, and meanwhile, the income of an urban road management department is also ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, an intelligent parking fee collection management system based on artificial intelligence includes: the system comprises a target parking section information acquisition module, a vehicle parking basic information preliminary processing module, a vehicle parking time information acquisition module, a vehicle parking fee generation module and a payment tracking module; the vehicle parking fee generation module is respectively connected with the target parking section information acquisition module, the vehicle parking basic information preliminary processing module, the vehicle parking time information acquisition module and the payment tracking module, and the vehicle parking basic information acquisition module is connected with the vehicle parking basic information preliminary processing module;
the system comprises a target parking section information acquisition module, a target parking section charging standard information acquisition module and a target parking section charging standard information acquisition module, wherein the target parking section information acquisition module is used for acquiring the number of parking spaces corresponding to a target parking section and further acquiring basic information corresponding to each parking space in the target parking section and the target parking section charging standard information, the basic information corresponding to each parking space in the target parking section comprises a number, a size and a position of each parking space, the target parking section charging standard information is each timing section corresponding to each vehicle type in the target parking section and unit charging cost corresponding to each vehicle type in each timing section in each date type, each timing section is numbered according to a preset sequence and is sequentially marked as 1,2,. J,. M, the vehicle types comprise small, medium and large, and the date types comprise working days and non-working days;
in one embodiment, the rule for setting the timing interval is for medium-sized vehicles, such as: the medium-sized vehicle comprises four timing intervals, wherein 0-1 hour is a timing area interval, a first interval is recorded, 1-2 hours is a timing interval, a second timing interval is recorded, 2-4 hours is a timing interval, a third timing interval is recorded, a timing interval is recorded after 4 hours, a third timing interval is recorded, the charge corresponding to the first timing interval on the working day of the medium-sized vehicle is a1 per hour, the second timing interval is a2 per hour, the third timing interval is a3 per hour, the fourth timing interval is a4 per hour, the charge corresponding to the first timing interval on the non-working day of the medium-sized vehicle is b1 per hour, the second timing interval is b2 per hour, the third timing interval is b3 per hour, and the fourth timing interval is b4 per hour, and the data are only example reference data.
The embodiment of the invention provides a data basis for the calculation of the parking cost of the subsequent vehicle to be parked by acquiring the basic information corresponding to each parking space of the target parking space and the charging standard information of the target parking section;
vehicle parking basic information acquisition module for when the vehicle gets into the target parking highway section, carry out image acquisition to this vehicle through the camera in the target parking highway section, write this vehicle into and wait to park the vehicle, based on the image that waits to park the vehicle correspondence of collection, discern the basic information that waits to park the vehicle and correspond, its concrete identification process is: according to the image corresponding to the vehicle to be parked, extracting the whole outline and the license plate area outline corresponding to the vehicle to be parked from the image, identifying the license plate area outline corresponding to the vehicle to be parked by utilizing an image identification technology, acquiring the license plate number corresponding to the vehicle to be parked, and recording the whole outline and the license plate number corresponding to the vehicle to be parked as the basic information corresponding to the vehicle to be parked.
It should be noted that the image recognition technology is a mature technology in the prior art, and is not described herein again.
The vehicle parking basic information primary processing module is used for carrying out primary analysis and processing on the vehicle to be parked based on the basic information corresponding to the vehicle to be parked, obtaining the type corresponding to the vehicle to be parked and the vehicle type corresponding to the vehicle to be parked, and the specific primary analysis and processing process is as follows:
d1, extracting a license plate number corresponding to the vehicle to be parked from basic information corresponding to the vehicle to be parked, if the license plate number corresponding to the vehicle to be parked is not acquired, classifying the vehicle to be parked as a vehicle which is not on license, marking, focusing on a vehicle head area corresponding to the vehicle to be parked based on an overall profile corresponding to the vehicle to be parked, so as to partition the vehicle head area profile corresponding to the vehicle to be parked, and further recognizing and obtaining a temporary license plate number corresponding to the vehicle to be parked and vehicle owner information corresponding to the vehicle to be parked, and storing the vehicle owner information to a parking management platform, wherein the vehicle owner information comprises a vehicle owner name and a vehicle owner contact mode;
and D2, if the license plate number corresponding to the vehicle to be parked is acquired, classifying the vehicle to be parked as a normal vehicle, matching and comparing the outline corresponding to the vehicle to be parked with the outline corresponding to each preset vehicle type, and screening to obtain the vehicle type corresponding to the vehicle to be parked.
The vehicle parking time information acquisition module is used for acquiring real-time images of the parking spaces through the cameras in the position areas where the parking spaces are located, confirming the currently selected parking space of the vehicle to be parked based on the acquired images, extracting the images acquired by the cameras in the position areas where the currently selected parking space of the vehicle to be parked is located, and further acquiring the parking starting time point and the parking ending time point corresponding to the vehicle to be parked;
specifically, the specific confirmation process for confirming the currently selected parking space of the vehicle to be parked based on the acquired image includes:
acquiring images currently acquired by a camera in a position area where each parking space is located, if vehicle information is not currently acquired by the camera in the position area where a certain parking space is located, marking the parking space as a blank parking space, and filtering, otherwise, marking the parking space as a parking space to be confirmed;
performing noise reduction and filtering processing on images currently acquired by a camera in a position area where parking spaces to be confirmed are located, and identifying and obtaining license plate numbers corresponding to current vehicles in the position area where the parking spaces to be confirmed are located on the basis of the processed images in the position area where the parking spaces to be confirmed are located;
when it needs to be explained, the manner of obtaining the license plate number corresponding to the current vehicle in the position area where each parking space to be confirmed is obtained by the identification is consistent with the manner of obtaining the license plate number of the vehicle to be parked, which is not repeated herein.
And matching and comparing the license plate number corresponding to the current vehicle in the position area of each parking space to be confirmed with the license plate number corresponding to the vehicle to be parked, and marking the parking space to be confirmed which is consistent with the license plate number of the vehicle to be parked as the selected parking space corresponding to the vehicle to be parked at present.
Further, the specific acquiring process corresponding to the corresponding parking starting time point corresponding to the vehicle to be parked comprises the following steps:
step 1, recording images acquired by a camera in real time in a position area where a currently selected parking space of a vehicle to be parked is located as analysis images of the vehicle to be parked according to the currently selected parking space of the vehicle to be parked, and further extracting acquisition time points corresponding to the analysis images of the vehicle to be parked;
step 2, carrying out noise reduction and filtering processing on each to-be-parked vehicle analysis image, extracting a position corresponding to each to-be-parked vehicle from each processed to-be-parked vehicle analysis image, if the position corresponding to the to-be-parked vehicle in a certain to-be-parked vehicle analysis image is not in a currently selected parking space of the to-be-parked vehicle, judging that the to-be-parked vehicle analysis image is a filtered image, filtering, and recording the residual image after filtering as a key analysis image;
step 3, extracting a profile corresponding to the vehicle to be parked from each key analysis image, acquiring a horizontal central axis and a vertical central axis corresponding to the vehicle to be parked based on the profile corresponding to the vehicle to be parked, acquiring the size corresponding to the currently selected parking space of the vehicle to be parked based on the currently selected parking space of each vehicle to be parked, further acquiring the horizontal central axis and the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked, respectively performing superposition comparison on the horizontal central axis and the vertical central axis corresponding to the vehicle to be parked in each key analysis image and the horizontal central axis and the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked, and confirming a parking start time point corresponding to the vehicle to be parked;
step 3-1, if a horizontal central axis and a vertical central axis corresponding to a vehicle to be parked in a certain key analysis image are respectively superposed with a horizontal central axis and a vertical central axis corresponding to a currently selected parking space of the vehicle to be parked, recording the key analysis image as a target image, counting the number of the target images, sequencing the target images according to time sequence, and taking an acquisition time point corresponding to a target image ranked first as a parking starting time point corresponding to the vehicle to be parked;
step 3-2, if a horizontal central axis and a vertical central axis corresponding to the vehicle to be parked in each key analysis image do not coincide with a horizontal central axis and a vertical central axis corresponding to the currently selected parking space of the vehicle to be parked, respectively acquiring an included angle between the horizontal central axis corresponding to the vehicle to be parked in each key analysis image and the horizontal central axis corresponding to the currently selected parking space of the vehicle to be parked and an included angle between the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked in each key analysis image, respectively recording an included angle between the horizontal central axis corresponding to the vehicle to be parked in each key analysis image and the horizontal central axis corresponding to the currently selected parking space of the vehicle to be parked, respectively recording an included angle between the vertical central axis corresponding to the vehicle to be parked in each key analysis image and the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked in each key analysis image as a vertical included angle;
step 3-2-1, when a horizontal included angle corresponding to the vehicle to be parked in each key analysis image is 0 or a vertical included angle is 0, extracting a central point position corresponding to the vehicle to be parked in each key analysis image and a central point position corresponding to a currently selected parking space of the vehicle to be parked, obtaining a distance between the central point position of the vehicle to be parked in each key analysis image and the central point position of the currently selected parking space of the vehicle to be parked, recording the distance as a parking distance, sequencing the parking distances corresponding to the vehicles to be parked in each key analysis image from small to large, and recording an acquisition point corresponding to the ranking of the first key analysis image as a parking starting time point corresponding to the vehicle to be parked;
3-2-2, when the horizontal included angle and the vertical included angle corresponding to the vehicle to be parked in each key analysis image are not 0, calculating the parking conformity corresponding to the vehicle to be parked in each key analysis image by using a calculation formula, wherein the specific calculation formula is
P k The parking conformity degree corresponding to the vehicle to be parked in the kth key analysis image is represented, k represents the key analysis image number, k =1,2, a k Expressed as the horizontal angle, beta, corresponding to the vehicle to be parked in the kth key analysis image k Expressed as vertical included angles corresponding to the vehicles to be parked in the k key analysis images, alpha ', beta' are respectively expressed as allowed horizontal included angles corresponding to the vehicles to be parked and allowed vertical included angles corresponding to the vehicles to be parked,sequencing the parking conformity corresponding to the vehicles to be parked of each key analysis image from big to small, recording the acquisition time point corresponding to the key analysis image with the first rank as the parking starting time point corresponding to the vehicles to be parked, sequencing the key analysis images with the first rank according to the acquisition time sequence when the key analysis images with the first rank are multiple, and recording the acquisition time point corresponding to the key analysis image with the first rank which is acquired firstly as the parking starting time point corresponding to the vehicles to be parked.
Further, the specific acquiring process corresponding to the corresponding parking end time point corresponding to the vehicle to be parked comprises the following steps:
acquiring images acquired by a camera in real time after the parking starting time point of the vehicle to be parked in the area of the currently selected parking space of the vehicle to be parked, recording the images as vehicle driving-away analysis images, and acquiring acquisition time points corresponding to the vehicle driving-away analysis images;
the method comprises the steps of conducting noise reduction and filtering processing on each vehicle driving-away analysis image, extracting a position corresponding to a vehicle to be parked from each processed driving-away analysis image, further extracting a contour corresponding to the vehicle to be parked from each driving-away analysis image, further obtaining a central point position corresponding to the tail of the vehicle to be parked in each vehicle driving-away analysis image, marking one side close to the driving-away direction of the vehicle to be parked as a driving-out side corresponding to a currently selected parking space of the vehicle to be parked, further obtaining a vertical distance between the central point of the tail of the vehicle to be parked in each vehicle driving-away analysis image and the driving-out side of the currently selected parking space of the vehicle to be parked, sequencing the vertical distance between the central point of the tail of the vehicle to be parked in each vehicle driving-away analysis image and the driving-out side of the currently selected parking space of the vehicle to be parked from each vehicle driving-away analysis image from small to large, taking an acquisition time point corresponding to a first-ranked vehicle driving-away analysis image as a parking ending time point corresponding to the vehicle to be parked, and sequencing the vehicle driving-away analysis images corresponding to the last acquired first ranking order the vehicle-away time points corresponding to be parked when a plurality of the first vehicle driving-away analysis images exist.
According to the embodiment of the invention, the parking starting time point and the parking ending time point corresponding to the vehicle to be parked are acquired in the vehicle parking time information acquisition module in an image mode, so that on one hand, the problem of poor timeliness of the current manual registration mode is effectively improved, on the other hand, the parking state of the vehicle is visually displayed, and meanwhile, the accurate timing of vehicle parking is realized by performing timing evaluation based on the vehicle parking state, the randomness of the current vehicle parking timing is avoided, and the standardization of roadside vehicle parking timing is greatly improved.
The vehicle parking fee generation module is used for acquiring the actual parking time length corresponding to the vehicle to be parked according to the parking starting time point corresponding to the vehicle to be parked and the parking ending time point corresponding to the vehicle to be parked, and calculating the parking fee corresponding to the vehicle to be parked by using a fee recognition algorithm based on the actual parking time length corresponding to the vehicle to be parked, wherein the specific recognition process of the fee recognition algorithm comprises the following steps:
the method comprises the following steps of firstly, acquiring actual parking duration and vehicle type corresponding to a vehicle to be parked;
secondly, matching and comparing the actual parking time corresponding to the vehicle to be parked and the vehicle type with each timing interval corresponding to each vehicle type, screening out each matched timing interval corresponding to the vehicle to be parked and the actual parking time corresponding to the vehicle to be parked in each matched timing interval, and marking each matched timing interval corresponding to the vehicle to be parked as t i I represents the number of each charging time period, i =1, 2.. N, wherein the number of the matched timing interval and the number of the timing interval are in a corresponding relation, and n is less than or equal to m;
thirdly, based on the vehicle type corresponding to the vehicle to be parked and the current date type, locating unit pricing cost corresponding to the vehicle to be parked in each matched timing interval from the target parking section charging standard information;
and fourthly, leading the actual parking time length corresponding to the vehicle to be parked in each matched timing interval and the unit pricing cost corresponding to the vehicle to be parked in each matched timing interval into a calculation formula, and outputting the parking cost corresponding to the vehicle to be parked, wherein the specific calculation formula is
Wherein M represents the parking fee corresponding to the vehicle to be parked, T i Expressed as the actual parking duration, d, of the vehicle to be parked corresponding to the ith matched timing interval i And the unit pricing expense corresponding to the ith matching timing interval of the vehicle to be stopped is represented.
According to the embodiment of the invention, the target vehicles are classified, identified and timed, and the parking cost corresponding to the vehicle to be parked is generated based on the vehicle type and the parking duration corresponding to the vehicle to be parked, so that the problem that the recording of the parking time of the vehicle is not accurate in the prior art is effectively solved, the recording accuracy of the parking starting time and the parking ending time of the vehicle is greatly improved, errors caused by a manual registration mode are avoided, the recording efficiency of the parking information of the roadside parking spaces is greatly improved, the targeted management of the parking cost of the roadside vehicle is realized, and the reasonability of the charging of the roadside parking vehicle is ensured.
And the payment tracking module is used for tracking the payment state corresponding to the vehicle to be parked according to the parking fee corresponding to the vehicle to be parked, confirming the payment state corresponding to the vehicle to be parked, and correspondingly processing the vehicle to be parked based on the payment state corresponding to the vehicle to be parked.
It should be noted that, the corresponding processing of the vehicle to be parked based on the corresponding fee payment state of the vehicle to be parked specifically includes: and when the payment state corresponding to the vehicle to be parked is a paid state, verifying the payment amount corresponding to the vehicle to be parked, further processing according to a verification result, and when the payment state corresponding to the vehicle to be parked is a non-payment state, processing the vehicle to be parked.
Exemplarily, when the payment status corresponding to the vehicle to be parked is the paid status, the payment amount corresponding to the vehicle to be parked is verified, and the specific implementation process of the further processing according to the verification result is as follows:
s1, extracting a payment amount corresponding to a vehicle to be parked at present from a target parking section management background, comparing the payment amount corresponding to the vehicle to be parked at present with a parking fee corresponding to the vehicle to be parked, obtaining a payment difference corresponding to the vehicle to be parked, and recording the payment difference as delta M, wherein the delta M = M '-M, and M' represents the payment amount corresponding to the vehicle to be parked at present;
s2, if the payment difference corresponding to the vehicle to be parked is larger than 0, judging that the payment type corresponding to the vehicle to be parked is multi-payment, recording the payment difference amount corresponding to the vehicle to be parked as a payment withdrawal amount, extracting the current corresponding payment mode of the vehicle to be parked from a target parking section management background, and withdrawing the payment withdrawal amount corresponding to the vehicle to be parked according to the payment mode corresponding to the vehicle to be parked;
s3, if the payment difference value corresponding to the vehicle to be parked is smaller than 0, judging that the payment type corresponding to the vehicle to be parked is a low payment type, taking the payment difference value amount corresponding to the vehicle to be parked as a compensation amount, extracting the vehicle owner contact way corresponding to the vehicle to be parked, carrying out automatic call compensation reminding, extracting the payment amount corresponding to the vehicle to be parked again from the target parking section management background in a preset period, verifying the compensation amount, if the vehicle to be parked does not carry out compensation in the preset period, carrying out payment incompletion marking on the vehicle, and uploading the license plate number corresponding to the vehicle to a parking management platform;
and S4, if the payment difference corresponding to the vehicle to be parked is equal to 0, judging that the payment type corresponding to the vehicle to be parked is normal payment, and carrying out payment normal marking.
In another example, when the payment status corresponding to the vehicle to be parked is the unpaid status, the specific processing procedure corresponding to processing the vehicle to be parked is as follows: the method comprises the steps of extracting a vehicle owner contact way corresponding to a vehicle to be parked, carrying out automatic calling payment reminding, extracting a current corresponding payment state of the vehicle to be parked from a target parking section management background in a preset period, if the payment state corresponding to the vehicle to be parked is still in an unpaid state, carrying out payment violation marking on the vehicle to be parked, uploading a license plate number corresponding to the vehicle to be parked to a parking management platform, if the payment state corresponding to the vehicle to be parked is in a paid state, repeatedly verifying the payment amount corresponding to the vehicle to be parked, and carrying out further processing steps according to a verification result.
It should be noted that, when the vehicle to be parked is a normal vehicle, the vehicle owner contact information corresponding to the vehicle to be parked is used for retrieving the vehicle owner contact information corresponding to the vehicle to be parked from the parking management platform based on the license plate number corresponding to the vehicle to be parked.
According to the embodiment of the invention, the payment tracking module tracks and processes the payment state corresponding to the vehicle to be parked, so that on one hand, the charging efficiency and the charging management effect of the roadside parking vehicle are effectively improved, the intellectualization of the roadside parking space charging management is realized, the constraint force on the roadside parking vehicle is further effectively improved to a certain extent, on the other hand, the timely reminding of the vehicle not being paid is realized, the influence of forgetting to pay the parking cost on the driving credit of the vehicle owner is effectively reduced, and meanwhile, the income of an urban road management department is also guaranteed.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. The utility model provides a wisdom parking intelligence charge management system based on artificial intelligence which characterized in that includes:
the target parking section information acquisition module is used for acquiring the number of parking spaces corresponding to the target parking section, and further acquiring basic information corresponding to each parking space in the target parking section and charging standard information of the target parking section, wherein the basic information corresponding to each parking space in the target parking section comprises a number, a size and a position of each parking space;
the vehicle parking basic information acquisition module is used for acquiring images of a vehicle through a camera in a target parking road section when the vehicle enters the target parking road section, marking the vehicle as a vehicle to be parked, and identifying basic information corresponding to the vehicle to be parked based on the acquired image corresponding to the vehicle to be parked;
the vehicle parking basic information preliminary processing module is used for preliminarily analyzing and processing the vehicle to be parked based on the basic information corresponding to the vehicle to be parked to obtain the category corresponding to the vehicle to be parked and the vehicle type corresponding to the vehicle to be parked;
the vehicle parking time information acquisition module is used for acquiring real-time images of the parking spaces through the cameras in the position areas of the parking spaces, confirming the currently selected parking space of the vehicle to be parked based on the acquired images, extracting the images acquired by the cameras in the position areas of the currently selected parking spaces of the vehicle to be parked, and further acquiring parking starting time points and parking ending time points corresponding to the vehicle to be parked;
the vehicle parking fee generation module is used for acquiring the actual parking time length corresponding to the vehicle to be parked according to the parking starting time point corresponding to the vehicle to be parked and the parking ending time point corresponding to the vehicle to be parked, and calculating the parking fee corresponding to the vehicle to be parked by using a fee identification algorithm based on the actual parking time length corresponding to the vehicle to be parked;
the payment tracking module is used for tracking the payment state corresponding to the vehicle to be parked according to the parking fee corresponding to the vehicle to be parked, confirming the payment state corresponding to the vehicle to be parked, and correspondingly processing the vehicle to be parked based on the payment state corresponding to the vehicle to be parked;
the specific acquisition process corresponding to the corresponding parking starting time point corresponding to the vehicle to be parked comprises the following steps:
step 1, recording images acquired by a camera in real time in a position area where a currently selected parking space of a vehicle to be parked is located as analysis images of the vehicle to be parked according to the currently selected parking space of the vehicle to be parked, and further extracting acquisition time points corresponding to the analysis images of the vehicle to be parked;
step 2, carrying out noise reduction and filtering processing on each to-be-parked vehicle analysis image, extracting a position corresponding to each to-be-parked vehicle from each processed to-be-parked vehicle analysis image, if the position corresponding to the to-be-parked vehicle in a certain to-be-parked vehicle analysis image is not in a currently selected parking space of the to-be-parked vehicle, judging that the to-be-parked vehicle analysis image is a filtered image, filtering, and recording the residual image after filtering as a key analysis image;
step 3, extracting a corresponding outline of the vehicle to be parked from each key analysis image, acquiring a horizontal central axis and a vertical central axis corresponding to the vehicle to be parked based on the corresponding outline of the vehicle to be parked, acquiring the size corresponding to the currently selected parking space of the vehicle to be parked based on the currently selected parking space of each vehicle to be parked, further acquiring the horizontal central axis and the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked, respectively performing superposition comparison on the horizontal central axis and the vertical central axis corresponding to the vehicle to be parked in each key analysis image and the horizontal central axis and the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked, and confirming a parking starting time point corresponding to the vehicle to be parked;
step 3-1, if a horizontal central axis and a vertical central axis corresponding to a vehicle to be parked in a certain key analysis image are respectively superposed with a horizontal central axis and a vertical central axis corresponding to a currently selected parking space of the vehicle to be parked, recording the key analysis image as a target image, counting the number of the target images, sequencing the target images according to the time sequence, and taking an acquisition time point corresponding to a target image with the first rank as a parking starting time point corresponding to the vehicle to be parked;
step 3-2, if a horizontal central axis and a vertical central axis corresponding to the vehicle to be parked in each key analysis image do not coincide with a horizontal central axis and a vertical central axis corresponding to the currently selected parking space of the vehicle to be parked, respectively acquiring an included angle between the horizontal central axis corresponding to the vehicle to be parked in each key analysis image and the horizontal central axis corresponding to the currently selected parking space of the vehicle to be parked and an included angle between the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked in each key analysis image, respectively recording an included angle between the horizontal central axis corresponding to the vehicle to be parked in each key analysis image and the horizontal central axis corresponding to the currently selected parking space of the vehicle to be parked as a horizontal included angle, and recording an included angle between the vertical central axis corresponding to the currently selected parking space of the vehicle to be parked in each key analysis image and a vertical central axis corresponding to the currently selected parking space of the vehicle to be parked as a vertical included angle;
step 3-2-1, when the horizontal included angle corresponding to the vehicle to be parked in each key analysis image is 0 or the vertical included angle is 0, extracting the central point position corresponding to the vehicle to be parked and the central point position corresponding to the currently selected parking space of the vehicle to be parked in each key analysis image, obtaining the distance between the central point position of the vehicle to be parked in each key analysis image and the central point position of the currently selected parking space of the vehicle to be parked, recording the distance as a parking distance, sequencing the parking distances corresponding to the vehicles to be parked in each key analysis image from small to large, and recording an acquisition point corresponding to the first key analysis image as a parking start time point corresponding to the vehicle to be parked;
3-2-2, when the horizontal included angle and the vertical included angle corresponding to the vehicle to be parked in each key analysis image are not 0, calculating the parking conformity corresponding to the vehicle to be parked in each key analysis image by using a calculation formula, wherein the specific calculation formula is
P k The parking conformity degree corresponding to the vehicle to be parked in the kth key analysis image is represented, k represents the key analysis image number, k =1,2, a k Expressed as the horizontal angle, beta, corresponding to the vehicle to be parked in the kth key analysis image k The parking time points are respectively expressed as allowed horizontal included angles corresponding to the vehicles to be parked in the k key analysis images, alpha 'and beta' are respectively expressed as allowed vertical included angles corresponding to the vehicles to be parked and allowed vertical included angles corresponding to the vehicles to be parked, the parking conformity degree corresponding to the vehicles to be parked in each key analysis image is sorted from large to small, the acquisition time point corresponding to the key analysis image with the first ranking is recorded as the parking starting time point corresponding to the vehicle to be parked, when the key analysis image with the first ranking is multiple, the key analysis image with the first ranking is sorted according to the acquisition time, and the acquisition time point corresponding to the key analysis image with the first ranking which is firstly acquired is recorded as the parking starting time point corresponding to the vehicle to be parked.
2. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 1, wherein: the charging standard information of the target parking section is specifically timing intervals corresponding to all vehicle types in the target parking section and unit charging fees corresponding to all vehicle types in all timing intervals in all date categories, all timing intervals are numbered according to a preset sequence and are sequentially marked as 1,2,. J,. M, wherein the vehicle types comprise small, medium and large, and the date categories comprise working days and non-working days.
3. The intelligent parking fee collection management system based on artificial intelligence of claim 1, wherein: the specific identification process for identifying the basic information corresponding to the vehicle to be parked based on the acquired image corresponding to the vehicle to be parked comprises the following steps: according to the image corresponding to the vehicle to be parked, extracting an overall contour and a license plate area contour corresponding to the vehicle to be parked from the image, recognizing the license plate area contour corresponding to the vehicle to be parked by utilizing an image recognition technology, acquiring a license plate number corresponding to the vehicle to be parked, and marking the overall contour and the license plate number corresponding to the vehicle to be parked as basic information corresponding to the vehicle to be parked.
4. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 1, wherein: the specific analysis and processing process for performing preliminary analysis and processing on the vehicle to be stopped is as follows:
extracting a license plate number corresponding to the vehicle to be parked from basic information corresponding to the vehicle to be parked, classifying the vehicle to be parked as a vehicle which is not marked if the license plate number corresponding to the vehicle to be parked is not acquired, marking, focusing on a vehicle head area corresponding to the vehicle to be parked based on an overall contour corresponding to the vehicle to be parked, so as to partition a vehicle head area contour corresponding to the vehicle to be parked, and further identifying and obtaining a temporary license plate number corresponding to the vehicle to be parked and vehicle owner information corresponding to the vehicle to be parked, and storing the vehicle owner information to a parking management platform, wherein the vehicle owner information comprises a vehicle owner name and a contact way;
and if the license plate number corresponding to the vehicle to be parked is acquired, classifying the vehicle to be parked as a normal vehicle, matching and comparing the profile corresponding to the vehicle to be parked with the profiles corresponding to the preset vehicle types, and screening to obtain the vehicle type corresponding to the vehicle to be parked.
5. The intelligent parking fee collection management system based on artificial intelligence of claim 1, wherein: the specific confirmation process for confirming the corresponding parking space currently selected by the vehicle to be parked based on the acquired image comprises the following steps:
acquiring images currently acquired by a camera in a position area where each parking space is located, if vehicle information is not currently acquired by the camera in the position area where a certain parking space is located, marking the parking space as a blank parking space, and filtering, otherwise, marking the parking space as a parking space to be confirmed;
performing noise reduction and filtering processing on an image currently acquired by a camera in a position area where a parking space to be confirmed is located, and identifying and obtaining a license plate number corresponding to a current vehicle in the position area where each parking space to be confirmed is located based on the processed image in the position area where each parking space to be confirmed is located;
and matching and comparing the license plate number corresponding to the current vehicle in the position area of each parking space to be confirmed with the license plate number corresponding to the vehicle to be parked, and recording the parking space to be confirmed consistent with the license plate number of the vehicle to be parked as the selected parking space corresponding to the vehicle to be parked currently.
6. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 1, wherein: the specific identification process of the charge identification algorithm comprises the following steps:
the method comprises the following steps of firstly, acquiring actual parking time and vehicle type corresponding to a vehicle to be parked;
secondly, matching and comparing the actual parking time corresponding to the vehicle to be parked and the vehicle type with each timing interval corresponding to each vehicle type, screening out each matched timing interval corresponding to the vehicle to be parked and the actual parking time corresponding to the vehicle to be parked in each matched timing interval, and marking each matched timing interval corresponding to the vehicle to be parked as t i I represents each charging timeSegment number, i =1,2, the.
Thirdly, based on the vehicle type corresponding to the vehicle to be parked and the current date type, locating unit pricing cost corresponding to the vehicle to be parked in each matched timing interval from the target parking section charging standard information;
and fourthly, leading the actual parking time length corresponding to the vehicle to be parked in each matched timing interval and the unit pricing cost corresponding to the vehicle to be parked in each matched timing interval into a calculation formula, and outputting the parking cost corresponding to the vehicle to be parked, wherein the specific calculation formula is
Wherein M represents the parking fee corresponding to the vehicle to be parked, T i Expressed as the actual parking duration, d, of the vehicle to be parked corresponding to the ith matched timing interval i And the unit pricing expense corresponding to the ith matching timing interval of the vehicle to be stopped is represented.
7. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 1, wherein: and tracking the payment state corresponding to the vehicle to be parked, and confirming the payment state corresponding to the vehicle to be parked for retrieving the payment state corresponding to the vehicle to be parked from the target parking section management background according to the license plate number corresponding to the vehicle to be parked, wherein the payment state comprises a paid state and an unpaid state.
8. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 1, wherein: the corresponding processing of the vehicle to be parked based on the corresponding fee payment state of the vehicle to be parked specifically comprises the following steps: and when the payment state corresponding to the vehicle to be parked is a paid state, verifying the payment amount corresponding to the vehicle to be parked, further processing according to a verification result, and when the payment state corresponding to the vehicle to be parked is a non-payment state, processing the vehicle to be parked.
9. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 8, wherein: when the payment state corresponding to the vehicle to be parked is the paid state, the payment amount corresponding to the vehicle to be parked is verified, and further processing is carried out according to the verification result, wherein the specific execution process is as follows:
the method comprises the steps of extracting a payment amount corresponding to a vehicle to be parked currently from a target parking section management background, comparing the payment amount corresponding to the vehicle to be parked currently with a parking fee corresponding to the vehicle to be parked to obtain a payment difference corresponding to the vehicle to be parked, and recording the payment difference as delta M, wherein the delta M = M '-M, and M' represents the payment amount corresponding to the vehicle to be parked currently;
if the payment difference corresponding to the vehicle to be parked is larger than 0, judging that the payment type corresponding to the vehicle to be parked is multi-payment, recording the payment difference amount corresponding to the vehicle to be parked as a payment withdrawal amount, extracting the current corresponding payment mode of the vehicle to be parked from the target parking section management background, and withdrawing the payment withdrawal amount corresponding to the vehicle to be parked according to the payment mode corresponding to the vehicle to be parked;
if the payment difference value corresponding to the vehicle to be parked is smaller than 0, judging that the payment type corresponding to the vehicle to be parked is a low payment type, taking the payment difference value amount corresponding to the vehicle to be parked as a subsidy payment amount, extracting the owner contact way corresponding to the vehicle to be parked, automatically calling the subsidy payment reminding, extracting the payment amount corresponding to the vehicle to be parked again from the target parking section management background in a preset period, verifying the subsidy payment amount, if the vehicle to be parked does not carry out the subsidy payment in the preset period, marking that the vehicle is not completely paid, and uploading the license plate number corresponding to the vehicle to the parking management platform;
if the corresponding payment difference value of the vehicle to be parked is equal to 0, the payment type corresponding to the vehicle to be parked is judged to be normal payment, and a payment normal mark is carried out.
10. The intelligent parking fee collection management system based on artificial intelligence as claimed in claim 8, wherein: when the payment state corresponding to the vehicle to be parked is the unpaid state, the specific processing process corresponding to the processing of the vehicle to be parked is as follows: the method comprises the steps of extracting a vehicle owner contact way corresponding to a vehicle to be parked, carrying out automatic calling payment reminding, extracting a payment state corresponding to the vehicle to be parked at a target parking section management background again within a preset period, if the payment state corresponding to the vehicle to be parked is still an unpaid state, carrying out payment violation marking on the vehicle to be parked, uploading a license plate number corresponding to the vehicle to be parked to a parking management platform, if the payment state corresponding to the vehicle to be parked is an already paid state, repeatedly verifying the payment amount corresponding to the vehicle to be parked, and carrying out further processing steps according to a verification result.
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