CN114694409B - Intelligent parking lot parking management system based on smart city construction - Google Patents
Intelligent parking lot parking management system based on smart city construction Download PDFInfo
- Publication number
- CN114694409B CN114694409B CN202210411193.4A CN202210411193A CN114694409B CN 114694409 B CN114694409 B CN 114694409B CN 202210411193 A CN202210411193 A CN 202210411193A CN 114694409 B CN114694409 B CN 114694409B
- Authority
- CN
- China
- Prior art keywords
- parking
- vehicle
- current
- parking space
- distance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010276 construction Methods 0.000 title claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 238000011156 evaluation Methods 0.000 claims description 46
- 238000000034 method Methods 0.000 claims description 24
- 238000007726 management method Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 8
- 238000005215 recombination Methods 0.000 claims description 3
- 230000006798 recombination Effects 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 description 4
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/146—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is a limited parking space, e.g. parking garage, restricted space
-
- 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
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/165—Anti-collision systems for passive traffic, e.g. including static obstacles, trees
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses an intelligent parking lot parking management system based on smart city construction, which comprises a parking lot equipment setting module, a parking lot use state large screen display module, a parking lot entrance monitoring module, a parking video acquisition module, a vehicle parking standard analysis module, a vehicle distance intelligent identification module, a database and a parking charging module.
Description
Technical Field
The invention relates to the technical field of parking lot management, in particular to an intelligent parking lot parking management system based on intelligent city construction.
Background
With the rapid development of society and the steady improvement of people's life quality, more and more families purchase vehicles as a riding-instead tool, and the parking problem of vehicles is of great importance in the way of driving, in order to promote the smooth progress of construction of smart cities, the parking management system of a parking lot needs to be analyzed, and the parking management system of the current parking lot often has the following drawbacks:
(1) For the parking space allocation of the parking lot, the current parking lot cannot allocate the nearby parking space for the incoming vehicle, and meanwhile, the optimal route cannot be planned for the incoming vehicle according to the nearby parking space, so that the time spent by the incoming vehicle in searching for the parking space is too long, the parking charging time is prolonged, the utilization rate of the parking space is reduced, and the parking lot scheduling efficiency is low;
(2) For parking standards of a parking lot, the parking standards of the incoming vehicles in the existing parking lot still depend on manual reminding, and the incoming vehicles cannot be parked by virtue of intelligent equipment, especially when the incoming vehicles are too many, safety reminding of a plurality of incoming vehicles cannot be synchronously carried out, so that a large amount of manpower is consumed, parking reminding tasks cannot be completed efficiently, and the parking lot management system is not intelligent, totipotent and efficient;
(3) For parking charging in a parking lot, a charging mode adopted by the current parking lot is usually used for charging according to the time from the time of entering at the entrance of the parking lot to the time of exiting at the exit of the parking lot, so that the waiting time of entering vehicles is often ignored, unfairness is generated, the accuracy and reliability of the charging time are not high, and meanwhile psychological burden is caused to personnel entering vehicles, so that the efficient, intelligent and vigorous development of the parking lot is not facilitated.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an intelligent parking lot parking management system based on smart city construction, which can effectively solve the problems related to the background art.
The aim of the invention can be achieved by the following technical scheme:
an intelligent parking lot parking management system based on smart city construction, comprising: the parking space device comprises a parking space device setting module, a parking space use state large screen display module, a parking lot entrance monitoring module, a parking video acquisition module, a vehicle parking standard analysis module, a vehicle distance intelligent identification module, a database and a parking charging module;
the parking space equipment setting module is used for setting intelligent equipment for each parking space in the parking lot, and the intelligent equipment comprises an intelligent camera and an intelligent voice prompter;
the large screen display module of the using state of the parking space is used for monitoring the using state of each parking space corresponding to each vehicle type in the parking lot in real time, wherein the using state comprises use and free space, and further the number of the free parking spaces corresponding to each vehicle type and the number corresponding to each free parking space are counted from the using state, and the number is displayed in the large screen of the large screen display of the using state of the parking space;
the parking lot entrance monitoring module is used for identifying license plate numbers and vehicle types of the current incoming vehicles, acquiring tenant types of the current incoming vehicles, wherein the tenant types comprise fixed tenants and non-fixed tenants, identifying categories of the current incoming vehicles according to the tenant types of the current incoming vehicles, further distributing parking spaces according to the categories and the vehicle types of the current incoming vehicles to obtain target parking spaces corresponding to the current incoming vehicles, and monitoring the incoming time of the current incoming vehicles;
the parking video acquisition module is used for starting a corresponding intelligent camera on a target parking space according to the target parking space corresponding to the current driving-in vehicle, acquiring a parking process video of the current driving-in vehicle in the target parking space by the intelligent camera, and recording a parking completion time point;
the vehicle parking standard analysis module is used for extracting a parking completion image from the acquired parking process video of the current entering vehicle in the target parking space and carrying out parking standard analysis corresponding to the current entering vehicle based on the parking completion image, wherein the vehicle parking standard analysis module comprises a vehicle parking overlap ratio analysis unit, a vehicle parking parallelism analysis unit and a comprehensive parking standard analysis unit;
the intelligent vehicle distance recognition module is used for recognizing the parking distance between the current incoming vehicle and the adjacent parked vehicle, and carrying out safety reminding on the current incoming vehicle according to the recognition result;
the database is used for storing the cost of unit parking time corresponding to each vehicle model, the fixed parking space number corresponding to the fixed tenant, the vehicle model and each license plate number, wherein the fixed parking space corresponding to the fixed tenant is used for binding the license plate number of each vehicle corresponding to the fixed tenant;
the parking charging module is used for acquiring the time point of the current entering vehicle leaving the target parking space and the time point of the current entering vehicle leaving the parking space, analyzing the parking time of the current entering vehicle according to the time point, and further carrying out parking charging.
Specifically, the method for identifying the category of the current incoming vehicle according to the tenant type of the current incoming vehicle is as follows:
a1, matching a license plate number of a current driving vehicle with a license plate number corresponding to a fixed tenant in a database;
a2, if the license plate number of the current incoming vehicle is successfully matched with the license plate number corresponding to the fixed tenant in the database, the tenant type of the current incoming vehicle is indicated as the fixed tenant, the fixed parking space corresponding to the fixed tenant is monitored, whether the vehicle is parked at the fixed parking space corresponding to the fixed tenant is identified, if the vehicle is not parked at the fixed parking space corresponding to the fixed tenant, the current incoming vehicle is marked as the fixed vehicle, otherwise, the current incoming vehicle is marked as the temporary incoming vehicle;
a3, if the license plate number of the current incoming vehicle is not successfully matched with the license plate number corresponding to the fixed tenant in the database, indicating that the tenant type of the current incoming vehicle is a non-fixed tenant, and marking the current incoming vehicle as a temporary incoming vehicle.
Specifically, the parking space is allocated according to the type and the vehicle type of the current incoming vehicle, and the specific allocation steps are as follows:
b1, taking a corresponding fixed parking space as a target parking space when the current incoming vehicle is a fixed vehicle;
and B2, if the currently-driven vehicle is a temporary-driven vehicle, matching the vehicle type of the currently-driven vehicle with the number of the idle parking spaces corresponding to various vehicle types displayed in the large parking space use state display screen, screening the number of the idle parking spaces corresponding to the vehicle type of the currently-driven vehicle, judging whether the number of the idle parking spaces is 0, if the number of the idle parking spaces is 0, opening a valve at the entrance of a parking lot, if the number of the idle parking spaces is not 0, opening the valve at the entrance of the parking lot, analyzing whether the number of the idle parking spaces is only one, if the number of the idle parking spaces is only one, then performing near screening from a plurality of idle parking spaces to obtain the nearest idle parking spaces as target parking spaces, further performing key identification on the large parking space use state display screen, planning a parking route from the entrance of the parking lot to the target parking spaces, and displaying the parking route in the large parking space use state display screen.
Specifically, the vehicle parking contact ratio analysis unit is used for analyzing the contact ratio of a projection point of a vehicle center point projected on the ground and a parking space center point, and the specific analysis steps are as follows:
the method comprises the steps of C1, acquiring the position of a vehicle center point at a target parking space from a parking completion image of a current incoming vehicle, projecting the position of the vehicle center point at the target parking space onto the ground to form a projection point, carrying out superposition comparison on the projection point of the vehicle and the position of the center point at the target parking space, calculating the distance between the position of the vehicle projection point at the target parking space and the position of the center point at the target parking space, and recording the distance as a superposition distance;
c2, comparing the overlapping distance with a preset reference distance, and calculating a parking overlapping ratio evaluation coefficient of the current driving-in vehicle, wherein a calculation formula is as follows
Beta is represented as a parking overlap ratio evaluation coefficient of the current entering vehicle, l Superposition Expressed as the recombination distance, l Reference to Represented as a reference distance.
Specifically, the vehicle parking parallelism analysis unit is used for analyzing the parallelism between the projection contour of the whole contour of the vehicle projected on the ground and the standard line of the parking space, and the specific analysis steps are as follows:
step one: the method comprises the steps of obtaining a vehicle contour from a parking completion image of a current driving-in vehicle, projecting the vehicle contour on the ground, recording the vehicle contour as a projection contour, respectively carrying out detection point arrangement on the left side and the rear side of the projection contour to obtain a plurality of detection points corresponding to the left side of the projection contour and a plurality of detection points corresponding to the rear side of the projection contour, respectively vertically connecting the plurality of detection points corresponding to the left side and the rear side of the projection contour with parking space standard lines corresponding to the left side and the rear side of the projection contour, respectively recording the distance set between the left side and the corresponding parking space standard lines as the distance set between the left side and the rear side of the projection contour and the corresponding parking space standard lines
Step two: the distance between the left side and the rear side of the projection profile and the corresponding parking space standard line is compared with the preset standard distance to obtain the parking parallelism evaluation coefficient of the current incoming vehicle, and the calculation formula is as follows
χ is represented as the current drive-in vehicleVehicle parking parallelism evaluation coefficient, L Zuo Biao 、L Post-mark Represented as standard distances between the left and rear sides of the projected profile, respectively, and the standard lines of the parking space corresponding to that side.
Specifically, the integrated parking standard analysis unit is used for calculating an integrated parking standard evaluation coefficient of the current driving-in vehicle, and the specific calculation formula is as follows
Epsilon is expressed as a comprehensive parking standard evaluation coefficient of the current driving-in vehicle, a1 and a2 are respectively expressed as weight values corresponding to the overlapping degree and the parallelism, meanwhile, the comprehensive parking standard evaluation coefficient of the current driving-in vehicle is compared with a preset standard evaluation coefficient threshold value, if the comprehensive parking standard evaluation coefficient of a certain current driving-in vehicle is smaller than the preset standard evaluation coefficient threshold value, the situation that the current driving-in vehicle is dangerous is indicated, and then an intelligent voice prompt device at a corresponding target parking space is started to conduct voice prompt of the vehicle parking danger.
Specifically, the step of identifying the parking distance between the currently driven vehicle and the adjacent parked vehicle includes the following steps:
step 1: acquiring a vehicle body contour from a parking completion image of a current driving-in vehicle, and simultaneously marking the vehicle at a position adjacent to the current driving-in vehicle as an adjacent vehicle, thereby acquiring the vehicle body contour of the adjacent vehicle;
step 2: and acquiring the distance between the body contour of the current entering vehicle and the body contour of the adjacent vehicle, obtaining the distance between the current entering vehicle and the adjacent vehicle, and recording the distance as the actual distance.
Specifically, the method for carrying out safety reminding on the current driving-in vehicle according to the identification result comprises the following specific steps: comparing the actual distance between the current driving vehicles with the preset safety distance, if the actual distance between the current driving vehicles is smaller than the preset safety distance, indicating that the distance between the current driving vehicles and the adjacent vehicles in the parking lot is dangerous, and further starting the intelligent voice prompt at the position of the current vehicle corresponding to the target parking space, and carrying out safety prompt voice prompt.
Specifically, the analyzing the parking time of the current driving-in vehicle further carries out parking charging, and the specific analyzing steps are as follows:
d1, if the type of the current incoming vehicle is a fixed vehicle, not charging; if the type of the current driving-in vehicle is the temporary driving-in vehicle, analyzing the parking time of the current driving-in vehicle, and further carrying out parking charging;
d2, marking the time length from the time point when the current vehicle enters to the time point when the target parking space is parked to the time point when the current vehicle leaves the target parking space as actual parking time length, marking the actual parking time length as T, comprehensively analyzing the time length from the time when the current vehicle enters to the time when the current vehicle leaves the parking space and the actual parking time length to obtain waiting time length, and marking the waiting time length as T;
d3, obtaining the cost of unit parking time corresponding to the model of the current incoming vehicle, synthesizing the actual parking time and waiting time of the current incoming vehicle, and calculating the parking charge value corresponding to the current incoming vehicle, wherein the specific calculation formula is as follows
W represents a parking charge value corresponding to the current incoming vehicle, and M represents the cost of unit parking time corresponding to the vehicle type of the current incoming vehicle.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the invention, the parking spaces are allocated according to the types and the vehicle types of the incoming vehicles, so that the parking spaces can be allocated nearby for the incoming vehicles, meanwhile, a route is planned for the incoming vehicles to reach the target parking spaces, a great amount of time consumed by the incoming vehicles in searching the parking spaces is greatly shortened, the use efficiency of the parking spaces in the parking lot is fundamentally improved, the scheduling efficiency of the parking lot is also improved, and the use efficiency of the parking spaces in the parking lot can be effectively connected.
According to the invention, the comprehensive parking standard evaluation coefficient of the incoming vehicle is comprehensively considered from two aspects of the parking overlap ratio evaluation coefficient and the parking parallelism evaluation coefficient of the incoming vehicle in the parking lot, the comprehensive parking standard evaluation coefficient of the incoming vehicle is further analyzed, if the comprehensive parking standard evaluation coefficient is smaller than the preset standard evaluation coefficient threshold value, voice reminding is carried out, the parking standard analysis mode not only makes up for the requirement of special personnel for parking scheduling of the incoming vehicle in the existing parking lot, but also realizes synchronous carrying out of safety reminding of a plurality of incoming vehicles, meanwhile, error and inaccuracy caused by manual guiding parking are avoided, and further the safety, the high efficiency and the full energy of the parking lot are fundamentally improved, so that the parking standardization is greatly improved, and the parking danger index is greatly reduced.
According to the method, the time point of entering the vehicle and entering the parking lot, the time point of reaching the target parking space, the time point of leaving the target parking space and the time point of leaving the parking lot are obtained, and the parking time of entering the vehicle is comprehensively considered according to the time point, so that parking charging is further carried out. The method has the advantages that the mind imbalance caused by too high parking charging due to overlong waiting time of the incoming vehicle is avoided, the contradiction is effectively avoided, humanization and comprehensiveness of a parking lot management system are improved to a great extent, and efficient, intelligent and vigorous development of the parking lot is facilitated.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of the system module connection of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an intelligent parking lot parking management system based on smart city construction, which comprises a parking lot equipment setting module, a parking lot use state large screen display module, a parking lot entrance monitoring module, a parking video acquisition module, a vehicle parking standard analysis module, a vehicle distance intelligent identification module, a database and a parking charging module.
The parking space equipment setting module is respectively connected with the parking space use state large screen display module and the parking video acquisition module, the parking space use state large screen display module is connected with the parking lot entrance monitoring module, the parking lot entrance monitoring module is respectively connected with the database and the parking charging module, the parking video acquisition module is respectively connected with the vehicle parking standard analysis module, the vehicle distance intelligent identification module and the parking charging module, and the database is connected with the parking charging module.
The parking space equipment setting module is used for setting intelligent equipment for each parking space in the parking lot, and the intelligent equipment comprises an intelligent camera and an intelligent voice prompt.
The large screen display module of the parking space use state is used for monitoring the use state of each parking space corresponding to each vehicle type in the parking lot in real time, wherein the use state comprises use and idle, and further the number of idle parking spaces corresponding to each vehicle type and the number corresponding to each idle parking space are counted from the use state and displayed in the large screen of the parking space use state display.
The parking lot entrance monitoring module is used for identifying license plate numbers and vehicle types of the current incoming vehicles, acquiring tenant types of the current incoming vehicles, wherein the tenant types comprise fixed tenants and non-fixed tenants, identifying categories of the current incoming vehicles according to the tenant types of the current incoming vehicles, further distributing parking spaces according to the categories and the vehicle types of the current incoming vehicles, obtaining target parking spaces corresponding to the current incoming vehicles, and monitoring the incoming time of the current incoming vehicles.
Specifically, the category of the current incoming vehicle is identified according to the tenant type of the current incoming vehicle, and the specific identification method is as follows:
a1, matching a license plate number of a current driving vehicle with a license plate number corresponding to a fixed tenant in a database;
a2, if the license plate number of the current incoming vehicle is successfully matched with the license plate number corresponding to the fixed tenant in the database, the tenant type of the current incoming vehicle is indicated as the fixed tenant, the fixed parking space corresponding to the fixed tenant is monitored, whether the vehicle is parked at the fixed parking space corresponding to the fixed tenant is identified, if the vehicle is not parked at the fixed parking space corresponding to the fixed tenant, the current incoming vehicle is marked as the fixed vehicle, otherwise, the current incoming vehicle is marked as the temporary incoming vehicle;
a3, if the license plate number of the current incoming vehicle is not successfully matched with the license plate number corresponding to the fixed tenant in the database, indicating that the tenant type of the current incoming vehicle is a non-fixed tenant, and marking the current incoming vehicle as a temporary incoming vehicle.
Specifically, the parking space is allocated according to the type and the vehicle type of the current incoming vehicle, and the specific allocation steps are as follows:
b1, taking a corresponding fixed parking space as a target parking space when the current incoming vehicle is a fixed vehicle;
and B2, if the currently-driven vehicle is a temporary-driven vehicle, matching the vehicle type of the currently-driven vehicle with the number of the idle parking spaces corresponding to various vehicle types displayed in the large parking space use state display screen, screening the number of the idle parking spaces corresponding to the vehicle type of the currently-driven vehicle, judging whether the number of the idle parking spaces is 0, if the number of the idle parking spaces is 0, opening a valve at the entrance of a parking lot, if the number of the idle parking spaces is not 0, opening the valve at the entrance of the parking lot, analyzing whether the number of the idle parking spaces is only one, if the number of the idle parking spaces is only one, then performing near screening from a plurality of idle parking spaces to obtain the nearest idle parking spaces as target parking spaces, further performing key identification on the large parking space use state display screen, planning a parking route from the entrance of the parking lot to the target parking spaces, and displaying the parking route in the large parking space use state display screen.
According to the embodiment, the parking spaces are allocated according to the types and the vehicle types of the incoming vehicles, so that the parking spaces can be allocated nearby for the incoming vehicles, meanwhile, a route is planned for the incoming vehicles to reach the target parking spaces, a large amount of time consumed by the incoming vehicles in searching the parking spaces is greatly shortened, the use efficiency of the parking spaces in the parking lot is fundamentally improved, the scheduling efficiency of the parking lot is also improved, and the use efficiency of the parking spaces in the parking lot can be effectively connected.
The parking video acquisition module is used for starting a corresponding intelligent camera on a target parking space according to the target parking space corresponding to the current driving-in vehicle, acquiring a parking process video of the current driving-in vehicle in the target parking space by the intelligent camera, and recording a parking completion time point.
The vehicle parking standard analysis module is used for extracting a parking completion image from the acquired parking process video of the current incoming vehicle in the target parking space and carrying out parking standard analysis corresponding to the current incoming vehicle based on the parking completion image, wherein the vehicle parking standard analysis module comprises a vehicle parking overlap ratio analysis unit, a vehicle parking parallelism analysis unit and a comprehensive parking standard analysis unit.
Specifically, the vehicle parking contact ratio analysis unit is used for analyzing the contact ratio of a projection point of a vehicle center point projected on the ground and a parking space center point, and the specific analysis steps are as follows:
the method comprises the steps of C1, acquiring the position of a vehicle center point at a target parking space from a parking completion image of a current incoming vehicle, projecting the position of the vehicle center point at the target parking space onto the ground to form a projection point, carrying out superposition comparison on the projection point of the vehicle and the position of the center point at the target parking space, calculating the distance between the position of the vehicle projection point at the target parking space and the position of the center point at the target parking space, and recording the distance as a superposition distance;
c2, comparing the overlapping distance with a preset reference distance, and calculating a parking overlapping ratio evaluation coefficient of the current driving-in vehicle, wherein a calculation formula is as follows
Beta is expressed asParking overlap evaluation coefficient of front drive-in vehicle, l Superposition Expressed as the recombination distance, l Reference to Represented as a reference distance.
Specifically, the vehicle parking parallelism analysis unit is used for analyzing the parallelism between the projection contour of the whole contour of the vehicle projected on the ground and the standard line of the parking space, and the specific analysis steps are as follows:
step one: the method comprises the steps of obtaining a vehicle contour from a parking completion image of a current driving-in vehicle, projecting the vehicle contour on the ground, recording the vehicle contour as a projection contour, respectively carrying out detection point arrangement on the left side and the rear side of the projection contour to obtain a plurality of detection points corresponding to the left side of the projection contour and a plurality of detection points corresponding to the rear side of the projection contour, respectively vertically connecting the plurality of detection points corresponding to the left side and the rear side of the projection contour with parking space standard lines corresponding to the left side and the rear side of the projection contour, respectively recording the distance set between the left side and the corresponding parking space standard lines as the distance set between the left side and the rear side of the projection contour and the corresponding parking space standard lines
Step two: the distance between the left side and the rear side of the projection profile and the corresponding parking space standard line is compared with the preset standard distance to obtain the parking parallelism evaluation coefficient of the current incoming vehicle, and the calculation formula is as follows
χ is represented as a parking parallelism evaluation coefficient of the currently driven vehicle, L Zuo Biao 、L Post-mark Represented as standard distances between the left and rear sides of the projected profile, respectively, and the standard lines of the parking space corresponding to that side.
Specifically, the integrated parking standard analysis unit is used for calculating an integrated parking standard evaluation coefficient of the current driving-in vehicle, and the specific calculation formula is as follows
Epsilon is expressed as the comprehensive parking standard evaluation coefficient of the current incoming vehicle, and a1 and a2 are respectively expressed in the following tableAnd the comprehensive parking standard evaluation coefficient of the current driving-in vehicle is compared with a preset standard evaluation coefficient threshold value, if the comprehensive parking standard evaluation coefficient of the current driving-in vehicle is smaller than the preset standard evaluation coefficient threshold value, the situation that the current driving-in vehicle is dangerous is indicated, and then the intelligent voice prompt at the corresponding target parking space is started to carry out voice prompt on the parking danger of the vehicle.
According to the embodiment, the comprehensive parking standard evaluation coefficient of the incoming vehicle is comprehensively considered from two aspects of the parking overlap ratio evaluation coefficient and the parking parallelism evaluation coefficient of the incoming vehicle in the parking lot, the comprehensive parking standard evaluation coefficient of the incoming vehicle is further analyzed, if the comprehensive parking standard evaluation coefficient of the incoming vehicle is smaller than the preset standard evaluation coefficient threshold value, voice reminding is carried out, the parking standard analysis mode not only makes up for the fact that special personnel are needed to carry out parking scheduling on the incoming vehicle in the existing parking lot, but also realizes synchronous carrying out of safety reminding of a plurality of incoming vehicles, meanwhile, error and inaccuracy caused by manual guiding parking are avoided, and accordingly safety, high efficiency and full-capacity of the parking lot are fundamentally improved, parking standardization is greatly improved, and parking danger indexes are greatly reduced.
According to the embodiment, the comprehensive parking standard evaluation coefficient of the incoming vehicle is comprehensively considered from two aspects of the parking overlap ratio evaluation coefficient and the parking parallelism evaluation coefficient of the incoming vehicle in the parking lot, the problem that the parking result analysis is inaccurate due to the fact that the parking coefficient is not fully recognized by the existing parking lot is avoided, and meanwhile the reliability and the accuracy of the parking result analysis are improved.
The intelligent vehicle distance recognition module is used for recognizing the parking distance between the current incoming vehicle and the adjacent parked vehicle, and carrying out safety reminding on the current incoming vehicle according to the recognition result.
Specifically, the step of identifying the parking distance between the currently driven vehicle and the adjacent parked vehicle includes the following steps:
step 1: acquiring a vehicle body contour from a parking completion image of a current driving-in vehicle, and simultaneously marking the vehicle at a position adjacent to the current driving-in vehicle as an adjacent vehicle, thereby acquiring the vehicle body contour of the adjacent vehicle;
step 2: and acquiring the distance between the body contour of the current entering vehicle and the body contour of the adjacent vehicle, obtaining the distance between the current entering vehicle and the adjacent vehicle, and recording the distance as the actual distance.
Specifically, the method for carrying out safety reminding on the current driving-in vehicle according to the identification result comprises the following specific steps: comparing the actual distance between the current driving vehicles with the preset safety distance, if the actual distance between the current driving vehicles is smaller than the preset safety distance, indicating that the distance between the current driving vehicles and the adjacent vehicles in the parking lot is dangerous, further starting the intelligent voice prompt at the position of the corresponding target parking space of the current driving vehicles, and carrying out safety prompt voice prompt.
According to the method and the device for prompting the safety of the parking space, the parking space between the incoming vehicle and the adjacent parked vehicle is identified, if the actual space between the incoming vehicle is smaller than the preset safety space, the voice prompt device at the corresponding target parking space is started to perform the voice prompt for prompting the safety, and the voice prompt avoids the conditions that the vehicles are worn or the driver cannot open the vehicle door and the like due to the fact that the safety space between the adjacent vehicles is too small, so that the method and the device are more reliable.
The database is used for storing the cost of unit parking time corresponding to each vehicle model, the fixed parking space number corresponding to the fixed tenant, the vehicle model and each license plate number, wherein the fixed parking space corresponding to the fixed tenant is used for binding the license plate number of each vehicle corresponding to the fixed tenant.
The parking charging module is used for acquiring the time point of the current entering vehicle leaving the target parking space and the time point of the current entering vehicle leaving the parking space, analyzing the parking time of the current entering vehicle according to the time point, and further carrying out parking charging.
Specifically, the analyzing the parking time of the current driving-in vehicle further carries out parking charging, and the specific analyzing steps are as follows:
d1, if the type of the current incoming vehicle is a fixed vehicle, not charging; if the type of the current driving-in vehicle is the temporary driving-in vehicle, analyzing the parking time of the current driving-in vehicle, and further carrying out parking charging;
d2, marking the time length from the time point when the current vehicle enters to the time point when the target parking space is parked to the time point when the current vehicle leaves the target parking space as actual parking time length, marking the actual parking time length as T, comprehensively analyzing the time length from the time when the current vehicle enters to the time when the current vehicle leaves the parking space and the actual parking time length to obtain waiting time length, and marking the waiting time length as T;
d3, obtaining the cost of unit parking time corresponding to the model of the current incoming vehicle, synthesizing the actual parking time and waiting time of the current incoming vehicle, and calculating the parking charge value corresponding to the current incoming vehicle, wherein the specific calculation formula is as follows
W represents a parking charge value corresponding to the current incoming vehicle, and M represents the cost of unit parking time corresponding to the vehicle type of the current incoming vehicle.
In this embodiment, the obtaining manner corresponding to the cost of obtaining the unit parking duration corresponding to the vehicle type to which the current driving vehicle belongs is as follows: and screening the fees of the unit parking time length corresponding to each vehicle type in the database, and screening the fees of the unit parking time length corresponding to the vehicle type of the current driving-in vehicle.
According to the embodiment, the parking charging is performed by acquiring the time point of the entering vehicle entering the parking lot, the time point of reaching the target parking space, the time point of leaving the target parking space and the time point of leaving the parking lot, and comprehensively considering the parking time of the entering vehicle according to the time point. The method has the advantages that the mind imbalance caused by too high parking charging due to overlong waiting time of the incoming vehicle is avoided, the contradiction is effectively avoided, humanization and comprehensiveness of a parking lot management system are improved to a great extent, and efficient, intelligent and vigorous development of the parking lot is facilitated.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. An intelligent parking lot parking management system based on smart city construction, which is characterized by comprising: the parking space device comprises a parking space device setting module, a parking space use state large screen display module, a parking lot entrance monitoring module, a parking video acquisition module, a vehicle parking standard analysis module, a vehicle distance intelligent identification module, a database and a parking charging module;
the parking space equipment setting module is used for setting intelligent equipment for each parking space in the parking lot, and the intelligent equipment comprises an intelligent camera and an intelligent voice prompter;
the large screen display module of the using state of the parking space is used for monitoring the using state of each parking space corresponding to each vehicle type in the parking lot in real time, wherein the using state comprises use and free space, and further the number of the free parking spaces corresponding to each vehicle type and the number corresponding to each free parking space are counted from the using state, and the number is displayed in the large screen of the large screen display of the using state of the parking space;
the parking lot entrance monitoring module is used for identifying license plate numbers and vehicle types of the current incoming vehicles, acquiring tenant types of the current incoming vehicles, wherein the tenant types comprise fixed tenants and non-fixed tenants, identifying categories of the current incoming vehicles according to the tenant types of the current incoming vehicles, further distributing parking spaces according to the categories and the vehicle types of the current incoming vehicles to obtain target parking spaces corresponding to the current incoming vehicles, and monitoring the incoming time of the current incoming vehicles;
the parking video acquisition module is used for starting a corresponding intelligent camera on a target parking space according to the target parking space corresponding to the current driving-in vehicle, acquiring a parking process video of the current driving-in vehicle in the target parking space by the intelligent camera, and recording a parking completion time point;
the vehicle parking standard analysis module is used for extracting a parking completion image from the acquired parking process video of the current entering vehicle in the target parking space and carrying out parking standard analysis corresponding to the current entering vehicle based on the parking completion image, wherein the vehicle parking standard analysis module comprises a vehicle parking overlap ratio analysis unit, a vehicle parking parallelism analysis unit and a comprehensive parking standard analysis unit;
the intelligent vehicle distance recognition module is used for recognizing the parking distance between the current incoming vehicle and the adjacent parked vehicle, and carrying out safety reminding on the current incoming vehicle according to the recognition result;
the database is used for storing the cost of unit parking time corresponding to each vehicle model, the fixed parking space number corresponding to the fixed tenant, the vehicle model and each license plate number, wherein the fixed parking space corresponding to the fixed tenant is used for binding the license plate number of each vehicle corresponding to the fixed tenant;
the parking charging module is used for acquiring the time point of the current entering vehicle leaving the target parking space and the time point of the current entering vehicle leaving the parking space, analyzing the parking time of the current entering vehicle according to the time point, and further carrying out parking charging;
the method for identifying the parking distance between the current incoming vehicle and the adjacent parked vehicle comprises the following specific identification steps:
step 1: acquiring a vehicle body contour from a parking completion image of a current driving-in vehicle, and simultaneously marking the vehicle at a position adjacent to the current driving-in vehicle as an adjacent vehicle, thereby acquiring the vehicle body contour of the adjacent vehicle;
step 2: acquiring the distance between the body contour of the current entering vehicle and the body contour of the adjacent vehicle, acquiring the distance between the current entering vehicle and the adjacent vehicle, and marking the distance as the actual distance;
the safety reminding of the current driving-in vehicle is carried out according to the identification result, and the specific mode is as follows: comparing the actual distance between the current driving vehicles with the preset safety distance, if the actual distance between the current driving vehicles is smaller than the preset safety distance, indicating that the distance between the current driving vehicles and the adjacent vehicles in the parking lot is dangerous, further starting the intelligent voice prompt at the position of the corresponding target parking space of the current driving vehicles, and carrying out safety prompt voice prompt.
2. The smart parking lot parking management system based on smart city construction of claim 1, wherein: the method for identifying the category of the current incoming vehicle according to the tenant type of the current incoming vehicle comprises the following steps:
a1, matching a license plate number of a current driving vehicle with a license plate number corresponding to a fixed tenant in a database;
a2, if the license plate number of the current incoming vehicle is successfully matched with the license plate number corresponding to the fixed tenant in the database, the tenant type of the current incoming vehicle is indicated as the fixed tenant, the fixed parking space corresponding to the fixed tenant is monitored, whether the vehicle is parked at the fixed parking space corresponding to the fixed tenant is identified, if the vehicle is not parked at the fixed parking space corresponding to the fixed tenant, the current incoming vehicle is marked as the fixed vehicle, otherwise, the current incoming vehicle is marked as the temporary incoming vehicle;
a3, if the license plate number of the current incoming vehicle is not successfully matched with the license plate number corresponding to the fixed tenant in the database, indicating that the tenant type of the current incoming vehicle is a non-fixed tenant, and marking the current incoming vehicle as a temporary incoming vehicle.
3. The smart parking lot parking management system based on smart city construction of claim 1, wherein: the parking space is allocated according to the type and the vehicle type of the current incoming vehicle, and the specific allocation steps are as follows:
b1, taking a corresponding fixed parking space as a target parking space when the current incoming vehicle is a fixed vehicle;
and B2, if the currently-driven vehicle is a temporary-driven vehicle, matching the vehicle type of the currently-driven vehicle with the number of the idle parking spaces corresponding to various vehicle types displayed in the large parking space use state display screen, screening the number of the idle parking spaces corresponding to the vehicle type of the currently-driven vehicle, judging whether the number of the idle parking spaces is 0, if the number of the idle parking spaces is 0, opening a valve at the entrance of a parking lot, if the number of the idle parking spaces is not 0, opening the valve at the entrance of the parking lot, analyzing whether the number of the idle parking spaces is only one, if the number of the idle parking spaces is only one, then performing near screening from a plurality of idle parking spaces to obtain the nearest idle parking spaces as target parking spaces, further performing key identification on the large parking space use state display screen, planning a parking route from the entrance of the parking lot to the target parking spaces, and displaying the parking route in the large parking space use state display screen.
4. The smart parking lot parking management system based on smart city construction of claim 1, wherein: the vehicle parking contact ratio analysis unit is used for analyzing the contact ratio of a projection point of a vehicle center point projected on the ground and a parking space center point, and the specific analysis steps are as follows:
the method comprises the steps of C1, acquiring the position of a vehicle center point at a target parking space from a parking completion image of a current incoming vehicle, projecting the position of the vehicle center point at the target parking space onto the ground to form a projection point, carrying out superposition comparison on the projection point of the vehicle and the position of the center point at the target parking space, calculating the distance between the position of the vehicle projection point at the target parking space and the position of the center point at the target parking space, and recording the distance as a superposition distance;
c2, comparing the overlapping distance with a preset reference distance, and calculating a parking overlapping ratio evaluation coefficient of the current driving-in vehicle, wherein a calculation formula is as follows
Beta is represented as a parking overlap ratio evaluation coefficient of the current entering vehicle, l Superposition Expressed as the recombination distance, l Reference to Represented as a reference distance.
5. The smart parking lot parking management system based on smart city construction of claim 1, wherein: the vehicle parking parallelism analysis unit is used for analyzing the parallelism of a projection contour of the whole contour of the vehicle projected on the ground and a parking space standard line, and comprises the following specific analysis steps:
step one: from the currentThe method comprises the steps of obtaining a vehicle whole contour from a parking completion image of a driving-in vehicle, projecting the vehicle whole contour on the ground, marking the vehicle whole contour as a projection contour, respectively carrying out detection point layout on the left side and the rear side of the projection contour to obtain a plurality of detection points corresponding to the left side of the projection contour and a plurality of detection points corresponding to the rear side of the projection contour, respectively perpendicularly connecting the plurality of detection points corresponding to the left side and the rear side of the projection contour with parking space standard lines corresponding to the left side and the rear side of the projection contour, respectively marking the distance set between the left side and the corresponding parking space standard lines as distance sets
Step two: the distance between the left side and the rear side of the projection profile and the corresponding parking space standard line is compared with the preset standard distance to obtain the parking parallelism evaluation coefficient of the current incoming vehicle, and the calculation formula is as follows
χ is represented as a parking parallelism evaluation coefficient of the currently driven vehicle, L Zuo Biao 、L Post-mark Represented as standard distances between the left and rear sides of the projected profile, respectively, and the standard lines of the parking space corresponding to that side.
6. The smart parking lot parking management system based on smart city construction of claim 1, wherein: the comprehensive parking standard analysis unit is used for calculating the comprehensive parking standard evaluation coefficient of the current driving-in vehicle, and the specific calculation formula is as follows
Epsilon is expressed as a comprehensive parking standard evaluation coefficient of the current incoming vehicle, a1 and a2 are respectively expressed as weight values corresponding to the overlapping degree and the parallelism, and the comprehensive parking standard evaluation coefficient of the current incoming vehicle is compared with a preset standard evaluation coefficient threshold value at the same time, if the comprehensive parking standard evaluation coefficient of a certain current incoming vehicle is smaller than the preset standard evaluation coefficient threshold valueAnd setting a standard evaluation coefficient threshold value, indicating that the current driving-in vehicle parking state has danger, and starting the intelligent voice prompt at the corresponding target parking space to carry out vehicle parking danger voice prompt.
7. The smart parking lot parking management system based on smart city construction of claim 1, wherein: the method analyzes the parking time of the current incoming vehicle, further carries out parking charging, and comprises the following specific analysis steps:
d1, if the type of the current incoming vehicle is a fixed vehicle, not charging; if the type of the current driving-in vehicle is the temporary driving-in vehicle, analyzing the parking time of the current driving-in vehicle, and further carrying out parking charging;
d2, marking the time length from the time point when the current vehicle enters to the time point when the target parking space is parked to the time point when the current vehicle leaves the target parking space as actual parking time length, marking the actual parking time length as T, comprehensively analyzing the time length from the time when the current vehicle enters to the time when the current vehicle leaves the parking space and the actual parking time length to obtain waiting time length, and marking the waiting time length as T;
d3, obtaining the cost of unit parking time corresponding to the model of the current incoming vehicle, synthesizing the actual parking time and waiting time of the current incoming vehicle, and calculating the parking charge value corresponding to the current incoming vehicle, wherein the specific calculation formula is as follows
W represents a parking charge value corresponding to the current incoming vehicle, and M represents the cost of unit parking time corresponding to the vehicle type of the current incoming vehicle. />
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210411193.4A CN114694409B (en) | 2022-04-19 | 2022-04-19 | Intelligent parking lot parking management system based on smart city construction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210411193.4A CN114694409B (en) | 2022-04-19 | 2022-04-19 | Intelligent parking lot parking management system based on smart city construction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114694409A CN114694409A (en) | 2022-07-01 |
| CN114694409B true CN114694409B (en) | 2023-04-25 |
Family
ID=82143126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210411193.4A Active CN114694409B (en) | 2022-04-19 | 2022-04-19 | Intelligent parking lot parking management system based on smart city construction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114694409B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115394115B (en) * | 2022-08-27 | 2024-07-19 | 上海软杰智能设备有限公司 | Intelligent monitoring management system for three-dimensional parking lot |
| CN115830881A (en) * | 2023-02-20 | 2023-03-21 | 常州海图信息科技股份有限公司 | Parking detection method and device |
| CN117917918B (en) * | 2023-08-17 | 2024-06-18 | 启福光照明科技（上海）有限公司 | Underground garage light control system based on AI intelligence |
| CN117711206A (en) * | 2023-10-16 | 2024-03-15 | 广州技客信息科技有限公司 | Underground garage intelligent management system based on blockchain and application method thereof |
| CN117253377B (en) * | 2023-10-20 | 2024-03-22 | 石家庄市力弛科技开发有限公司 | Intelligent vehicle information recognition and detection system and method based on Internet of things |
| CN117576946B (en) * | 2024-01-16 | 2024-03-19 | 福建龙投信息技术有限公司 | Intelligent parking safety supervision method and system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110909608B (en) * | 2019-10-25 | 2023-04-18 | 江苏大学 | Guiding type standard parking identification method |
| CN112824183A (en) * | 2019-11-20 | 2021-05-21 | 华为技术有限公司 | Automatic parking interaction method and device |
| CN111445703A (en) * | 2020-04-29 | 2020-07-24 | 云南电网有限责任公司电力科学研究院 | Intelligent parking lot system and method based on image recognition |
| CN112185159A (en) * | 2020-08-28 | 2021-01-05 | 安徽天煌机械制造有限公司 | Smart community service system based on cloud platform |
| CN113781827A (en) * | 2021-09-10 | 2021-12-10 | 深圳市凯博百通信息技术有限公司 | Video data management method of cloud platform and cloud platform |
| CN114387686A (en) * | 2022-01-25 | 2022-04-22 | 曹良进 | Parking lot intelligent navigation system and method based on big data |
| CN114943939A (en) * | 2022-05-19 | 2022-08-26 | 济南博观智能科技有限公司 | Method, system and device for detecting parking state |
-
2022
- 2022-04-19 CN CN202210411193.4A patent/CN114694409B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN114694409A (en) | 2022-07-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114694409B (en) | Intelligent parking lot parking management system based on smart city construction | |
| CN109559395B (en) | Control method for identifying entrance charging of unlicensed vehicle and storage device | |
| CN205609015U (en) | System for parking management based on image recognition | |
| CN112837560A (en) | Novel intelligent public parking lot intelligent management algorithm based on 5G | |
| CN111613085A (en) | Parking lot management system based on big data | |
| CN108399783A (en) | A kind of intelligent parking system and parking method | |
| CN107464446B (en) | Inspection method and device for vertical parking space parking information | |
| CN109949580A (en) | Intellectual access vehicle system | |
| CN111243275B (en) | Toll station traffic state monitoring device and method based on computer vision | |
| CN116386379A (en) | Intelligent parking lot data management method and system based on Internet of things technology | |
| CN111445703A (en) | Intelligent parking lot system and method based on image recognition | |
| CN111932934A (en) | Intelligent parking lot in-and-out vehicle management system based on big data | |
| CN113299109A (en) | Wisdom parking management system suitable for wisdom city | |
| CN113269986A (en) | New energy automobile parking charging management method and system | |
| CN106340134A (en) | Electromobile lease management method and system | |
| CN113099181B (en) | Urban traffic parking safety intelligent analysis management method based on video monitoring | |
| CN111815995A (en) | Vehicle management and control system for intelligent community | |
| CN111196177A (en) | Battery replacement control device and method | |
| CN110930762A (en) | Internet intelligent parking system | |
| CN108984758A (en) | Car owner's association address analysis method and system based on point identification | |
| CN112908036A (en) | Driving behavior risk assessment system | |
| CN113706924A (en) | Intelligent control system of planar mobile stereo garage | |
| CN113420960B (en) | Method, system and storage medium for dispatching working personnel of highway toll station | |
| CN109615922A (en) | A kind of induction in wisdom garden parking lot and seek vehicle system | |
| CN114283386A (en) | Analysis and adaptation intensive scene people stream real-time monitoring system based on big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230406 Address after: 215500 No.2 Yunshen Road, Southeast street, Changshu City, Suzhou City, Jiangsu Province Applicant after: Suzhou Jiangnan AI parking Technology Co.,Ltd. Address before: 430040 No. 15, Jinyinhu Road, Dongxihu District, Wuhan City, Hubei Province Applicant before: Wuhan boshunda transportation equipment Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |