CN114694409A - 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
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- CN114694409A CN114694409A CN202210411193.4A CN202210411193A CN114694409A CN 114694409 A CN114694409 A CN 114694409A CN 202210411193 A CN202210411193 A CN 202210411193A CN 114694409 A CN114694409 A CN 114694409A
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- 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
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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
- G08G1/017—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
- G08G1/16—Anti-collision systems
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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, wherein the real-time condition of each parking lot is acquired by setting intelligent equipment for each parking lot in the parking lot, and the use state of each parking lot is displayed by the parking lot use state large-screen, so that the parking lots are distributed nearby for incoming vehicles, and meanwhile, a route is planned for the incoming vehicles to reach a target parking lot, thereby greatly shortening a large amount of time consumed by the incoming vehicles in searching the parking lots, not only fundamentally improving the use efficiency of the parking lots in the parking lot, but also improving the scheduling efficiency of the parking lots, the utilization rate of parking spaces in the parking lot can be efficiently connected.
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 smart city construction.
Background
With the rapid development of the society and the steady promotion of the quality of life of people, more and more families have bought the car as the instrument of riding instead of walk, and the car is on the way, and the problem of parking of vehicle is the focus, in order to promote the construction of wisdom city to go on smoothly, need carry out the analysis to the parking management system in parking area, and the parking management system in parking area often has following drawback at present:
(1) for the parking space allocation of the parking lot, the current parking lot cannot allocate nearby parking spaces for the incoming vehicles, and cannot plan an optimal route for the incoming vehicles according to the nearby parking spaces, so that the time consumed by the incoming vehicles in searching for the parking spaces is too long, the parking charging time is prolonged, the utilization rate of the parking spaces is reduced, and the scheduling efficiency of the parking lot is low;
(2) for the parking regulations of the parking lot, the parking regulations of the vehicles driven into the parking lot still depend on manual reminding at present, the parking regulations of the vehicles driven into the parking lot cannot depend on intelligent equipment to carry out the parking standards, especially when the number of the vehicles driven into the parking lot is too large, the safety reminding of a plurality of vehicles driven into the parking lot cannot be synchronously carried out, so that a large amount of manpower is consumed, and the parking reminding task cannot be efficiently completed, so that the parking lot management system is not intelligent, all-round and efficient;
(3) for parking charging in a parking lot, the charging mode adopted by the current parking lot is generally charging according to the driving-in time from the entrance of the parking lot to the exit of the parking lot, the waiting time of the driving-in vehicle is often ignored, unfairness is generated, the accuracy and reliability of the charging time are low, psychological burden is caused to the driving-in vehicle personnel, and 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 purpose of the invention can be realized by the following technical scheme:
the utility model provides an intelligence parking area parking management system based on construction of wisdom city, includes: the parking lot monitoring system 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 used for setting intelligent equipment for each parking space in a parking lot, and the intelligent equipment comprises an intelligent camera and an intelligent voice prompter;
the parking space use state large-screen display module is used for monitoring the use states of all parking spaces corresponding to all vehicle types in a parking lot in real time, wherein the use states comprise use and idle, the number of idle parking spaces corresponding to all vehicle types and the number corresponding to each idle parking space are counted from the use states, and the idle parking spaces and the numbers are displayed on the parking space use state large-screen display;
the parking lot entrance monitoring module is used for identifying license plate numbers and vehicle types of vehicles currently entering the parking lot, acquiring types of tenants to which the vehicles currently entering the parking lot belong, wherein the types of the tenants comprise fixed tenants and non-fixed tenants, identifying types of the vehicles currently entering the parking lot according to the types of the tenants to which the vehicles currently entering the parking lot belong, further performing parking space allocation on the vehicles currently entering the parking lot according to the types and the vehicle types of the vehicles currently entering the parking lot, obtaining target parking spaces corresponding to the vehicles currently entering the parking lot, and meanwhile monitoring the entering time of the vehicles currently entering the parking lot;
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 currently driven vehicle, acquiring a parking process video of the currently driven vehicle on 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 driven-in vehicle in the target parking space and analyzing a parking standard corresponding to the current driven-in vehicle based on the parking completion image, wherein the vehicle parking standard analysis module comprises a vehicle parking contact ratio analysis unit, a vehicle parking parallelism analysis unit and a comprehensive parking standard analysis unit;
the intelligent vehicle distance identification module is used for identifying the parking distance between the currently driven vehicle and the adjacent parked vehicle and carrying out safety reminding on the currently driven vehicle according to the identification result;
the database is used for storing the cost of unit parking time corresponding to each vehicle type and the fixed parking space number, the vehicle type and each license plate number corresponding to a fixed tenant, 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 when the current vehicle enters the target parking space and the time point when the current vehicle leaves the target parking space, analyzing the parking time of the current vehicle, and then charging for parking.
Specifically, the category of the currently-entering vehicle is identified according to the type of the tenant to which the currently-entering vehicle belongs, and a specific identification method is as follows:
a1, matching the license plate number of the current driving vehicle with the license plate number corresponding to the fixed tenant in the database;
a2, if the license plate number of the current driven vehicle is successfully matched with the license plate number corresponding to the fixed tenant in the database, indicating that the type of the tenant to which the current driven vehicle belongs is the fixed tenant, monitoring the fixed parking space corresponding to the fixed tenant, identifying whether the vehicle is parked at the fixed parking space corresponding to the fixed tenant, if no vehicle is parked at the fixed parking space corresponding to the fixed tenant, recording the current driven vehicle as the fixed vehicle, otherwise, recording the current driven vehicle as the temporary driven vehicle;
a3, if the license plate number of the current driven vehicle is not matched with the license plate number corresponding to the fixed tenant in the database successfully, the tenant type of the current driven vehicle is represented as a non-fixed tenant, and the current driven vehicle is marked as a temporary driven vehicle.
Specifically, the parking space allocation is performed according to the category and the model of the currently driven vehicle, and the specific allocation steps are as follows:
b1, if the current driving vehicle is a fixed vehicle, taking the corresponding fixed parking space as a target parking space;
b2, if the current vehicle is a temporary vehicle, matching the current vehicle type with the number of free parking spaces corresponding to each vehicle type displayed in the large screen for displaying the parking space use state, screening out the number of free parking spaces corresponding to the vehicle type to which the current vehicle belongs, judging whether the number of free parking spaces is 0, if so, not opening a valve at an entrance of the parking lot, if not, opening a valve at the entrance of the parking lot, simultaneously analyzing whether the number of the free parking spaces is only one, if only one, marking the free parking spaces as target parking spaces, if not, screening nearby from a plurality of free parking spaces to obtain the nearest free parking spaces as target parking spaces, further carrying out key identification on the number of the nearest free parking spaces in the large screen for displaying the parking space use state, and simultaneously planning a parking route from the entrance of the parking lot to the target parking spaces, and displays it in the parking space use state display large screen.
Specifically, the vehicle parking contact ratio analysis unit is configured to analyze contact ratio between 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:
c1, acquiring the center point position of the vehicle at the target parking space from the parking completion image of the current driven vehicle, projecting the center point position to the ground to form a projection point, coinciding and comparing the projection point of the vehicle with the center point position of the target parking space, calculating the distance between the projection point position of the vehicle at the target parking space and the center point position of the target parking space, and recording the distance as the coinciding distance;
c2, comparing the coincidence distance with a preset reference distance, and calculating the evaluation coefficient of the contact ratio of the current driven vehicle when parked, wherein the calculation formula isBeta is expressed as the evaluation coefficient of the contact ratio of the current driving-in vehicleCoincidenceExpressed as the coincidence distance,/Reference toDenoted as reference distance.
Specifically, the vehicle parking parallelism analysis unit is configured to analyze the parallelism between a projection contour of the vehicle's body contour projected on the ground and a parking space standard line, and the analysis steps are as follows:
the method comprises the following steps: obtaining the contour of the whole body of the vehicle from a parking completion image of the currently driven vehicle, projecting the contour of the whole body of the vehicle on the ground, recording the contour of the whole body of the vehicle as a projection contour, respectively arranging detection points on the left side and the rear side of the projection contour, and obtaining the left side of the projection contourA plurality of detection points corresponding to the side and a plurality of detection points corresponding to the rear side of the projection profile, and then vertically connecting the plurality of detection points corresponding to the left side of the projection profile and the plurality of detection points corresponding to the rear side of the projection profile with the parking space standard line corresponding to the side respectively to obtain a distance set between the left side and the rear side of the projection profile and the corresponding parking space standard line, and marking the distance set as the distance set respectively
Step two: comparing the distance between the left side and the rear side of the projection outline and the standard line of the corresponding parking space with a preset standard distance to obtain a parking parallelism evaluation coefficient of the current driving vehicle, wherein the calculation formula isChi is expressed as an evaluation coefficient of the degree of parking parallelism, L, of the currently-driven-in vehicleZuo Biao 、LRear labelRespectively, as the standard distance between the parking space standard lines corresponding to the left side and the rear side of the projected contour, respectively, to that side.
Specifically, the comprehensive parking standard analysis unit is used for calculating a comprehensive parking standard evaluation coefficient of the current driving vehicle, and the specific calculation formula isEpsilon represents a comprehensive parking standard evaluation coefficient of the current driven-in vehicle, a1 and a2 represent weight values corresponding to contact ratio and parallelism respectively, meanwhile, the comprehensive parking standard evaluation coefficient of the current driven-in vehicle is compared with a preset standard evaluation coefficient threshold, if the comprehensive parking standard evaluation coefficient of a certain current driven-in vehicle is smaller than the preset standard evaluation coefficient threshold, the current driven-in vehicle is presented with danger, and then an intelligent voice prompter at the corresponding target parking space is started to carry out vehicle parking danger voice prompt.
Specifically, the identification of the parking distance between the currently driven vehicle and the adjacent parked vehicle includes the following specific identification steps:
step 1: obtaining the vehicle body outline of the vehicle from the parking completion image of the current driven vehicle, and simultaneously marking the vehicle at the parking space adjacent to the current driven vehicle as an adjacent vehicle so as to obtain the vehicle body outline of the adjacent vehicle;
step 2: and acquiring the distance between the body contour of the current driving vehicle and the body contour of the adjacent vehicle, acquiring the distance between the current driving vehicle and the adjacent vehicle, and recording the distance as the actual distance.
Specifically, the safety reminding of the currently driven vehicle is performed according to the identification result, and the specific method is as follows: and comparing the actual distance between the currently driven vehicles with the preset safety distance, if the actual distance between the currently driven vehicles is smaller than the preset safety distance, indicating that the distance between the currently driven vehicles and the adjacent vehicles in the parking lot is dangerous, starting an intelligent voice prompter at the position of the corresponding target parking space of the current vehicle, and performing safety reminding voice prompt.
Specifically, the analysis of the parking duration of the currently driven vehicle for further parking charging includes the following specific analysis steps:
d1, if the type of the current driving vehicle is a fixed vehicle, not charging; if the type of the current driving vehicle is the temporary driving vehicle, analyzing the parking time of the current driving vehicle, and further carrying out parking charging;
d2, recording the time length from the time point when the current driven vehicle is parked in the target parking space to the time point when the current driven vehicle leaves the target parking space as the actual parking time length, recording the time length as T, and comprehensively analyzing the time length from the driving time of the current driven vehicle to the time when the current driven vehicle leaves the parking space and the actual parking time length to obtain the waiting time length, and recording the waiting time length as T;
d3, obtaining the cost of the unit parking time length corresponding to the vehicle type of the current driving vehicle, integrating the actual parking time length and the waiting time length of the current driving vehicle, and calculating the parking charge value corresponding to the current driving vehicle, wherein the specific calculation formula isW denotes the current driving-in vehicleAnd M represents the cost of the unit parking time length corresponding to the type of the current driven vehicle.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the method, the parking spaces are distributed according to the types and models of the driving vehicles, so that the parking spaces can be distributed nearby for the driving vehicles, meanwhile, a route is planned for the driving vehicles to reach the target parking spaces, a large amount of time consumed by the driving vehicles in searching the parking spaces is greatly shortened, the use efficiency of the parking spaces in the parking lot is fundamentally improved, the dispatching efficiency of the parking lot is also improved, and the use efficiency of the parking spaces in the parking lot can be efficiently connected.
The comprehensive parking standard evaluation coefficient of the driving vehicle is comprehensively considered from two aspects of the parking contact ratio evaluation coefficient and the parking parallelism evaluation coefficient of the driving vehicle in the parking lot, the comprehensive parking standard evaluation coefficient of the driving vehicle is analyzed, and if the comprehensive parking standard evaluation coefficient is smaller than the preset standard evaluation coefficient threshold value, voice reminding is performed.
The invention obtains the time point of the entering vehicle entering the parking lot, the time point of the arriving target parking lot, the time point of the leaving target parking lot and the time point of the leaving parking lot, and comprehensively considers the parking time of the entering vehicle according to the time points, thereby carrying out parking charging. The method avoids the out-of-balance of mind caused by overhigh parking charge due to overlong waiting time of the driving-in vehicle, effectively avoids the generation of contradiction, improves the humanization and the comprehension of the parking lot management system to a great extent, and is favorable for the high-efficiency, intelligent and vigorous development of the parking lot.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system module connection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
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 parking space use state large-screen display module is used for monitoring the use states of all parking spaces corresponding to all vehicle types in a parking lot in real time, the use states comprise use and idle, the number of the idle parking spaces corresponding to all vehicle types and the number corresponding to all idle parking spaces are counted from the use states, and the idle parking spaces and the numbers are displayed on the parking space use state large-screen display.
The parking lot entrance monitoring module is used for identifying license plate numbers and vehicle types of vehicles currently entering the parking lot, acquiring types of tenants to which the vehicles currently entering the parking lot belong, wherein the types of the tenants comprise fixed tenants and non-fixed tenants, identifying types of the vehicles currently entering the parking lot according to the types of the tenants to which the vehicles currently entering the parking lot belong, and then performing parking space allocation on the vehicles currently entering the parking lot according to the types and the vehicle types of the vehicles currently entering the parking lot to obtain target parking spaces corresponding to the vehicles currently entering the parking lot, and meanwhile monitoring the entering time of the vehicles currently entering the parking lot.
Specifically, the category of the currently-entering vehicle is identified according to the type of the tenant to which the currently-entering vehicle belongs, and the specific identification method is as follows:
a1, matching the license plate number of the current driving vehicle with the license plate number corresponding to the fixed tenant in the database;
a2, if the license plate number of the current driven vehicle is successfully matched with the license plate number corresponding to the fixed tenant in the database, indicating that the type of the tenant to which the current driven vehicle belongs is the fixed tenant, monitoring the fixed parking space corresponding to the fixed tenant, identifying whether the vehicle is parked at the fixed parking space corresponding to the fixed tenant, if no vehicle is parked at the fixed parking space corresponding to the fixed tenant, recording the current driven vehicle as the fixed vehicle, otherwise, recording the current driven vehicle as the temporary driven vehicle;
a3, if the license plate number of the current driving vehicle is not matched with the license plate number corresponding to the fixed tenant in the database successfully, the type of the tenant of the current driving vehicle is represented as a non-fixed tenant, and the current driving vehicle is marked as a temporary driving vehicle.
Specifically, the parking space allocation is performed according to the category and the model of the currently driven vehicle, and the specific allocation steps are as follows:
b1, if the current driving vehicle is a fixed vehicle, taking the corresponding fixed parking space as a target parking space;
b2, if the current vehicle is a temporary vehicle, matching the current vehicle type with the number of free parking spaces corresponding to each vehicle type displayed in the large screen for displaying the parking space use state, screening out the number of free parking spaces corresponding to the vehicle type to which the current vehicle belongs, judging whether the number of free parking spaces is 0, if so, not opening a valve at an entrance of the parking lot, if not, opening a valve at the entrance of the parking lot, simultaneously analyzing whether the number of the free parking spaces is only one, if only one, marking the free parking spaces as target parking spaces, if not, screening nearby from a plurality of free parking spaces to obtain the nearest free parking spaces as target parking spaces, further carrying out key identification on the number of the nearest free parking spaces in the large screen for displaying the parking space use state, and simultaneously planning a parking route from the entrance of the parking lot to the target parking spaces, and displays it in the parking space use state display large screen.
The parking space is distributed according to the type and the model of the driving-in vehicle, so that the parking space can be distributed nearby for the driving-in vehicle, meanwhile, a route is planned for the driving-in vehicle to reach the target parking space, a large amount of time consumed by the driving-in vehicle in searching for the parking space is greatly shortened, the use efficiency of the parking space in a parking lot is fundamentally improved, the dispatching efficiency of the parking lot is improved, and the use efficiency of the parking space in the parking lot can be efficiently 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 vehicle, acquiring the parking process video of the current vehicle on the target parking space and recording the 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 driving-in vehicle in the target parking space and analyzing a parking standard corresponding to the current driving-in vehicle based on the parking completion image, wherein the vehicle parking standard analysis module comprises a vehicle parking contact 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 configured to analyze contact ratio between 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:
c1, acquiring the center point position of the vehicle at the target parking space from the parking completion image of the current driven vehicle, projecting the center point position to the ground to form a projection point, coinciding and comparing the projection point of the vehicle with the center point position of the target parking space, calculating the distance between the projection point position of the vehicle at the target parking space and the center point position of the target parking space, and recording the distance as the coinciding distance;
c2, comparing the coincidence distance with a preset reference distance, and calculating the evaluation coefficient of the contact ratio of the current driven vehicle in the parking process, wherein the calculation formula isBeta is expressed as the evaluation coefficient of the contact ratio of the current driving-in vehicleCoincidenceExpressed as the coincidence distance,/Reference toDenoted as reference distance.
Specifically, the vehicle parking parallelism analysis unit is configured to analyze the parallelism between a projection contour of the vehicle's body contour projected on the ground and a parking space standard line, and the analysis steps are as follows:
the method comprises the following steps: the method comprises the steps of obtaining a vehicle body contour from a parking completion image of a currently driven vehicle, projecting the vehicle body contour on the ground, recording the vehicle body contour as a projection contour, respectively arranging detection points 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 detection points corresponding to the left side of the projection contour and the detection points corresponding to the rear side of the projection contour with parking space standard lines corresponding to the left side of the projection contour, obtaining distance sets between the left side and the rear side of the projection contour and corresponding parking space standard lines, and recording the distance sets as the distance sets between the left side and the rear side of the projection contour and the corresponding parking space standard lines respectively
Step two: the left side and the rear side of the projection outline are arranged between the corresponding parking space standard linesThe distance of the vehicle is compared with a preset standard distance to obtain a parking parallelism evaluation coefficient of the current driving vehicle, and the calculation formula isChi is expressed as an evaluation coefficient of the degree of parking parallelism, L, of the currently-driven-in vehicleZuo Biao 、LRear labelRespectively, as the standard distance between the parking space standard lines corresponding to the left side and the rear side of the projected contour, respectively, to that side.
Specifically, the comprehensive parking standard analysis unit is used for calculating a comprehensive parking standard evaluation coefficient of the current driving vehicle, and the specific calculation formula isEpsilon represents a comprehensive parking standard evaluation coefficient of the current driven-in vehicle, a1 and a2 represent weight values corresponding to contact ratio and parallelism respectively, meanwhile, the comprehensive parking standard evaluation coefficient of the current driven-in vehicle is compared with a preset standard evaluation coefficient threshold, if the comprehensive parking standard evaluation coefficient of a certain current driven-in vehicle is smaller than the preset standard evaluation coefficient threshold, the current driven-in vehicle is presented with danger, and then an intelligent voice prompter at the corresponding target parking space is started to carry out vehicle parking danger voice prompt.
The comprehensive parking standard evaluation coefficient of the driving vehicle is comprehensively considered from two aspects of the parking contact ratio evaluation coefficient and the parking parallelism evaluation coefficient of the driving vehicle in the parking lot, the comprehensive parking standard evaluation coefficient of the driving vehicle is analyzed, if the comprehensive parking standard evaluation coefficient is smaller than a preset standard evaluation coefficient threshold value, voice reminding is carried out, the parking standard analysis mode not only makes up the problem that special personnel are needed to park and schedule the driving vehicle in the current parking lot, but also realizes synchronous safety reminding of a plurality of driving vehicles, and simultaneously avoids error and inaccuracy caused by manual guidance parking, so that the safety, the efficiency and the omnipotence of the parking lot are fundamentally improved, the parking standard is greatly improved, and the parking danger index is reduced to a great extent.
The comprehensive parking standard evaluation coefficient of the driven vehicle is comprehensively considered from the two aspects of the parking contact ratio evaluation coefficient and the parking parallelism evaluation coefficient of the driven vehicle in the parking lot, so that the condition that the parking result is not accurately analyzed due to incomplete recognition of the parking coefficient in the current parking lot is avoided, and meanwhile, the reliability and the accuracy of the parking result analysis are improved.
The intelligent vehicle distance identification module is used for identifying the parking distance between the currently driven vehicle and the adjacent parked vehicle and carrying out safety reminding on the currently driven vehicle according to the identification result.
Specifically, the identification of the parking distance between the currently driven vehicle and the adjacent parked vehicle includes the following specific identification steps:
step 1: obtaining the vehicle body outline of the vehicle from the parking completion image of the current driven vehicle, and simultaneously marking the vehicle at the parking space adjacent to the current driven vehicle as an adjacent vehicle so as to obtain the vehicle body outline of the adjacent vehicle;
step 2: and acquiring the distance between the body contour of the current driving vehicle and the body contour of the adjacent vehicle, acquiring the distance between the current driving vehicle and the adjacent vehicle, and recording the distance as the actual distance.
Specifically, the safety reminding of the currently driven vehicle is performed according to the identification result, and the specific method is as follows: and comparing the actual distance between the currently driven vehicles with the preset safety distance, if the actual distance between the currently driven vehicles is smaller than the preset safety distance, indicating that the distance between the currently driven vehicles and the adjacent vehicles in the parking lot is dangerous, starting an intelligent voice prompter at the position, corresponding to the target parking space, of the currently driven vehicles, and performing safety reminding voice prompt.
According to the embodiment, the parking space between the driven vehicle and the adjacent parked vehicle is identified, and if the actual space between the driven vehicle is smaller than the preset safe space, the voice prompter corresponding to the target parking space is started to perform safe reminding voice prompt, so that the situations that the vehicles are worn or the vehicle door cannot be opened by a driver due to the fact that the safe space between the adjacent vehicles is too small are avoided through the voice prompt, and the method and the device are more reliable.
The database is used for storing the cost of unit parking time corresponding to each vehicle type and the fixed parking space number, the vehicle type and each license plate number corresponding to a fixed tenant, 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 when the current vehicle enters the target parking space and the time point when the current vehicle leaves the target parking space, analyzing the parking time of the current vehicle, and then charging for parking.
Specifically, the analysis of the parking duration of the currently driven vehicle for further parking charging includes the following specific analysis steps:
d1, if the type of the current driving vehicle is a fixed vehicle, not charging; if the type of the current driven vehicle is the temporary driven vehicle, analyzing the parking time of the current driven vehicle, and further carrying out parking charging;
d2, recording the time length from the time point when the current driven vehicle is parked in the target parking space to the time point when the current driven vehicle leaves the target parking space as the actual parking time length, recording the time length as T, and comprehensively analyzing the time length from the driving time of the current driven vehicle to the time when the current driven vehicle leaves the parking space and the actual parking time length to obtain the waiting time length, and recording the waiting time length as T;
d3, obtaining the cost of the unit parking time corresponding to the type of the current driving vehicle, integrating the actual parking time and the waiting time of the current driving vehicle, and calculating the parking charge value corresponding to the current driving vehicle, wherein the specific calculation formula isW represents the parking charge value corresponding to the current driven-in vehicle, and M represents the cost of the unit parking time corresponding to the type of the current driven-in vehicle.
In this embodiment, the corresponding obtaining manner of the cost for obtaining the unit parking time corresponding to the vehicle type to which the currently driven vehicle belongs is as follows: and screening the cost of the unit parking time corresponding to each vehicle type in the database, and screening the cost of the unit parking time corresponding to the vehicle type to which the current driving vehicle belongs.
In the embodiment, the parking charging is performed by acquiring the time point when the vehicle enters the parking lot, the time point when the vehicle reaches the target parking space, the time point when the vehicle leaves the target parking space and the time point when the vehicle leaves the parking lot, and comprehensively considering the parking time length of the vehicle. The method avoids the out-of-balance of mind caused by overhigh parking charge due to overlong waiting time of the driving-in vehicle, effectively avoids the generation of contradiction, improves the humanization and the comprehension of the parking lot management system to a great extent, and is favorable for the high-efficiency, intelligent and vigorous development of the parking lot.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. The utility model provides an intelligence parking area parking management system based on construction of wisdom city which characterized in that includes: the parking lot monitoring system 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 used for setting intelligent equipment for each parking space in a parking lot, and the intelligent equipment comprises an intelligent camera and an intelligent voice prompter;
the parking space use state large-screen display module is used for monitoring the use states of all parking spaces corresponding to all vehicle types in a parking lot in real time, wherein the use states comprise use and idle, the number of the idle parking spaces corresponding to all vehicle types and the number corresponding to all the idle parking spaces are counted from the use states, and the idle parking spaces and the numbers are displayed on the parking space use state display large screen;
the parking lot entrance monitoring module is used for identifying license plate numbers and vehicle types of vehicles currently entering the parking lot, acquiring types of tenants to which the vehicles currently entering the parking lot belong, wherein the types of the tenants comprise fixed tenants and non-fixed tenants, identifying types of the vehicles currently entering the parking lot according to the types of the tenants to which the vehicles currently entering the parking lot belong, further performing parking space allocation on the vehicles currently entering the parking lot according to the types and the vehicle types of the vehicles currently entering the parking lot, obtaining target parking spaces corresponding to the vehicles currently entering the parking lot, and meanwhile monitoring the entering time of the vehicles currently entering the parking lot;
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 currently driven vehicle, acquiring a parking process video of the currently driven vehicle on 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 driven-in vehicle in the target parking space and analyzing a parking standard corresponding to the current driven-in vehicle based on the parking completion image, wherein the vehicle parking standard analysis module comprises a vehicle parking contact ratio analysis unit, a vehicle parking parallelism analysis unit and a comprehensive parking standard analysis unit;
the intelligent vehicle distance identification module is used for identifying the parking distance between the currently driven vehicle and the adjacent parked vehicle and carrying out safety reminding on the currently driven vehicle according to the identification result;
the database is used for storing the cost of unit parking time corresponding to each vehicle type and the fixed parking space number, the vehicle type and each license plate number corresponding to a fixed tenant, 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 when the current vehicle enters the target parking space and the time point when the current vehicle leaves the target parking space, analyzing the parking time of the current vehicle, and then charging for parking.
2. The intelligent parking lot parking management system based on smart city construction of claim 1, wherein: the method comprises the following steps of identifying the category of a current incoming vehicle according to the type of a tenant to which the current incoming vehicle belongs, wherein the specific identification method comprises the following steps:
a1, matching the license plate number of the current driving vehicle with the license plate number corresponding to the fixed tenant in the database;
a2, if the license plate number of the current driven vehicle is successfully matched with the license plate number corresponding to the fixed tenant in the database, indicating that the type of the tenant to which the current driven vehicle belongs is the fixed tenant, monitoring the fixed parking space corresponding to the fixed tenant, identifying whether the vehicle is parked at the fixed parking space corresponding to the fixed tenant, if no vehicle is parked at the fixed parking space corresponding to the fixed tenant, recording the current driven vehicle as the fixed vehicle, otherwise, recording the current driven vehicle as the temporary driven vehicle;
a3, if the license plate number of the current driving vehicle is not matched with the license plate number corresponding to the fixed tenant in the database successfully, the type of the tenant of the current driving vehicle is represented as a non-fixed tenant, and the current driving vehicle is marked as a temporary driving vehicle.
3. The intelligent parking lot parking management system based on smart city construction of claim 1, wherein: the parking space allocation is carried out on the current driving vehicle according to the category and the model of the current driving vehicle, and the specific allocation steps are as follows:
b1, if the current driving vehicle is a fixed vehicle, taking the corresponding fixed parking space as a target parking space;
b2, if the current vehicle is temporarily driven, matching the vehicle type of the current driven vehicle with the number of the free parking spaces corresponding to the various vehicle types displayed in the large screen for displaying the parking space use state, screening the number of the free parking spaces corresponding to the vehicle type of the current driven vehicle from the vehicle type of the current driven vehicle, judging whether the number of the free parking spaces is 0, if so, not opening a valve at the entrance of the parking lot, if not, opening the valve at the entrance of the parking lot, simultaneously analyzing whether the number of the free parking spaces is only one, if only one, marking the free parking spaces as target parking spaces, if not, screening nearby from a plurality of free parking spaces to obtain the nearest free parking spaces as the target parking spaces, further carrying out key identification on the number of the nearest free parking spaces in the large screen for displaying the parking space use state, simultaneously planning the parking route from the entrance of the parking lot to the target parking spaces, and displays it in the parking space use state display large screen.
4. The intelligent 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 on the ground and a parking space center point, and the specific analysis steps are as follows:
c1, acquiring the center point position of the vehicle at the target parking space from the parking completion image of the current driven vehicle, projecting the center point position to the ground to form a projection point, coinciding and comparing the projection point of the vehicle with the center point position of the target parking space, calculating the distance between the projection point position of the vehicle at the target parking space and the center point position of the target parking space, and recording the distance as the coinciding distance;
c2, comparing the coincidence distance with a preset reference distance, and calculating the evaluation coefficient of the contact ratio of the current driven vehicle in the parking process, wherein the calculation formula isBeta is expressed as the evaluation coefficient of the contact ratio of the current driving-in vehicleCoincidenceExpressed as the coincidence distance,/Reference toDenoted as reference distance.
5. The intelligent 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 vehicle body contour projected on the ground and a parking space standard line, and the specific analysis steps are as follows:
the method comprises the following steps: obtaining the contour of the whole vehicle body from the parking completion image of the currently driven vehicle, projecting the contour of the whole vehicle body on the ground, recording the contour as a projection contour, and respectively arranging detection points on the left side and the rear side of the projection contour to obtainA 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, and further vertically connecting the plurality of detection points corresponding to the left side of the projection contour and the plurality of detection points corresponding to the rear side of the projection contour with the parking space standard lines corresponding to the left side respectively to obtain distance sets between the left side and the rear side of the projection contour and the corresponding parking space standard lines, and respectively marking the distance sets as distance sets
Step two: comparing the distance between the left side and the rear side of the projection outline and the standard line of the corresponding parking space with a preset standard distance to obtain a parking parallelism evaluation coefficient of the current driving vehicle, wherein the calculation formula isChi is expressed as an evaluation coefficient of the degree of parking parallelism, L, of the currently-driven-in vehicleZuo Biao 、LRear labelRespectively, as the standard distance between the parking space standard lines corresponding to the left side and the rear side of the projected contour, respectively, to that side.
6. The intelligent parking lot parking management system based on smart city construction of claim 1, wherein: the comprehensive parking standard analysis unit is used for calculating a comprehensive parking standard evaluation coefficient of the current driving vehicle, and the specific calculation formula isEpsilon represents a comprehensive parking standard evaluation coefficient of the current driven-in vehicle, a1 and a2 represent weight values corresponding to contact ratio and parallelism respectively, meanwhile, the comprehensive parking standard evaluation coefficient of the current driven-in vehicle is compared with a preset standard evaluation coefficient threshold, if the comprehensive parking standard evaluation coefficient of a certain current driven-in vehicle is smaller than the preset standard evaluation coefficient threshold, the current driven-in vehicle is presented with danger, and then an intelligent voice prompter at the corresponding target parking space is started to carry out vehicle parking danger voice prompt.
7. The intelligent parking lot parking management system based on smart city construction of claim 1, wherein: the method comprises the following specific steps of identifying the parking distance between the current driving vehicle and the adjacent parked vehicle:
step 1: obtaining the vehicle body outline of the vehicle from the parking completion image of the current driven vehicle, and simultaneously marking the vehicle at the parking space adjacent to the current driven vehicle as an adjacent vehicle so as to obtain the vehicle body outline of the adjacent vehicle;
step 2: and acquiring the distance between the body contour of the current driving vehicle and the body contour of the adjacent vehicle, acquiring the distance between the current driving vehicle and the adjacent vehicle, and recording the distance as the actual distance.
8. The intelligent parking lot parking management system based on smart city construction of claim 1, characterized in that: the method comprises the following steps of carrying out safety reminding on a currently driven vehicle according to an identification result, wherein the specific mode is as follows: and comparing the actual distance between the current driven-in vehicles with the preset safe distance, if the actual distance between the current driven-in vehicles is smaller than the preset safe distance, indicating that the distance between the current driven-in vehicles and the adjacent vehicles in the parking lot is dangerous, starting an intelligent voice prompter at the target parking space corresponding to the current driven-in vehicles, and performing safe reminding voice prompt.
9. The intelligent parking lot parking management system based on smart city construction of claim 1, wherein: the method comprises the following steps of analyzing the parking time of a current vehicle, and further carrying out parking charging, wherein the specific analysis steps are as follows:
d1, if the type of the current driving vehicle is a fixed vehicle, not charging; if the type of the current driving vehicle is the temporary driving vehicle, analyzing the parking time of the current driving vehicle, and further carrying out parking charging;
d2, recording the time length from the time point when the currently driven vehicle is parked in the target parking space to the time point when the currently driven vehicle leaves the target parking space as the actual parking time length, recording the time length as T, and simultaneously, comprehensively analyzing the time length from the driving time of the currently driven vehicle to the time when the currently driven vehicle leaves the parking space and the actual parking time length to obtain the waiting time length, and recording the waiting time length as T;
d3, obtaining the cost of the unit parking time corresponding to the type of the current driving vehicle, integrating the actual parking time and the waiting time of the current driving vehicle, and calculating the parking charge value corresponding to the current driving vehicle, wherein the specific calculation formula isW represents the parking charge value corresponding to the current driven-in vehicle, and M represents the cost of the unit parking time corresponding to the type of the current driven-in vehicle.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN117079494A (en) * | 2023-10-16 | 2023-11-17 | 广州技客信息科技有限公司 | Underground garage intelligent management system based on blockchain |
CN117253377A (en) * | 2023-10-20 | 2023-12-19 | 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 |
CN117576946A (en) * | 2024-01-16 | 2024-02-20 | 福建龙投信息技术有限公司 | Intelligent parking safety supervision method and system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110909608A (en) * | 2019-10-25 | 2020-03-24 | 江苏大学 | Guiding type standard parking identification method |
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 |
CN112824183A (en) * | 2019-11-20 | 2021-05-21 | 华为技术有限公司 | Automatic parking interaction method and device |
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
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110909608A (en) * | 2019-10-25 | 2020-03-24 | 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 |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
CN117079494A (en) * | 2023-10-16 | 2023-11-17 | 广州技客信息科技有限公司 | Underground garage intelligent management system based on blockchain |
CN117079494B (en) * | 2023-10-16 | 2024-01-09 | 广州技客信息科技有限公司 | Underground garage intelligent management system based on blockchain |
CN117253377A (en) * | 2023-10-20 | 2023-12-19 | 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 |
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 |
CN117576946A (en) * | 2024-01-16 | 2024-02-20 | 福建龙投信息技术有限公司 | Intelligent parking safety supervision method and system |
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 |
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