CN114419924A - AI application control management system based on wisdom city - Google Patents
AI application control management system based on wisdom city Download PDFInfo
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Abstract
The invention discloses an AI application control management system based on a smart city, which comprises a parking time data storage module, a license plate recognition module, a parking space parking time analysis module, a vehicle navigation module, a parking space peripheral obstacle detection module, a parking space peripheral aisle traffic flow analysis module, a parking space peripheral condition analysis module, a parking space matching module, a nearby parking lot recommendation module and a route planning and navigation module, and has the beneficial effects that: the method comprises the steps of classifying vacant parking spaces according to analysis results of obstacles around the parking spaces, obtaining time consumed by historical parking of each type of parking spaces, obtaining historical parking time corresponding to license plates through license plate recognition, analyzing peripheral aisle traffic flow of the vacant parking spaces, matching the parking spaces or recommending nearby parking lot information for users, enabling the information of the parking lots to be shared, improving operation efficiency of the parking lots, and solving the problems that the parking spaces are difficult to find and high in idle rate.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to an AI application control management system based on a smart city.
Background
The smart city is characterized in that various key information of a city operation core system is sensed, analyzed and integrated by using information and communication technical means, so that various requirements including civil life, environmental protection, public safety, city service and industrial and commercial activities are intelligently responded, the essence of the smart city is to utilize an advanced information technology to realize intelligent management and operation of the city, so as to create a better life for people in the city, promote harmony and sustainable growth of the city, along with the continuous development of human society, the city will bear more and more population in the future, at present, China is in the stage of urbanization accelerated development, the problem of urban diseases in part of regions is increasingly severe, in order to solve the problem of urban development and realize urban sustainable development, the smart city is built to become the history trend of irreversible city development, and the smart city is built in many regions at home and abroad, and obtains a series of achievements, such as the national wisdom Shanghai and the wisdom double-flow, and the foreign wisdom national plan of Singapore, and the Korean "
The AI refers to artificial intelligence, which is artificial intelligence, and is a novel scientific technology formed by intersecting cognition disciplines, logics, computer disciplines and other disciplines.
The smart city means information sharing and cooperative operation, more reasonable resource use, better city development and better management decision, and timely prediction and coping with emergencies and disasters, can be realized among different departments and systems of the city, application scenes of the smart city are more and more abundant on the basis of policy support and infrastructure improvement, however, in some application scenes, the prior art still has a plurality of defects, compared with the mature and vigorous development of the internet +' fields of takeaway, intelligent trip, new retail and the like, the smart parking market still needs to be developed for a period of time, the problem of difficult parking becomes the common fault of most cities, the huge demand is uncoordinated with the low-speed development of the smart parking industry, such as a plurality of cars, large overall gaps, scattered parking spaces, difficult parking spaces and high idle rate, The intelligence level is low, and the information is isolated.
Based on the problem it is urgent to provide an AI application control management system based on wisdom city, through carrying out the analysis to the peripheral barrier in parking stall, classify according to the analysis result empty parking stall, thereby acquire the time that each type of parking stall historical parking spent, again according to the license plate discernment acquire the time that the historical parking that any license plate corresponds spent, further again to the peripheral passageway traffic flow of empty parking stall carry out the analysis, according to the analysis result, carry out the parking stall for the user and match, if can't match at present, then further acquire nearby parking area information, thereby make the information in parking area can share, with the operating efficiency in parking area that improves, solve the difficult problem with the idle rate height of parking stall.
Disclosure of Invention
The invention aims to provide an AI application control management system based on a smart city to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
an AI application control management system based on a smart city comprises a parking time data storage module, a license plate recognition module, a parking space parking time analysis module, a vehicle navigation module, a parking space peripheral obstacle detection module, a parking space peripheral aisle traffic flow analysis module, a parking space peripheral condition analysis module, a parking space matching module, a nearby parking lot recommendation module and a route planning and navigation module,
the parking time data storage module is used for storing each parking time of a vehicle and the parking time of the vehicle in a corresponding type of parking space, the license plate recognition module is used for recognizing the license plate number of the vehicle parked on the parking space and acquiring the starting parking time and the ending parking time of the vehicle corresponding to the license plate number, the parking time analysis module is used for analyzing any historical vehicle parking time corresponding to the license plate number or the type of the parking space, the vehicle navigation module is used for acquiring the destination of the vehicle and navigating, the obstacle detection module around the parking space is used for acquiring the position information of any parking space and analyzing the obstacles around the position, the traffic flow analysis module around the parking space is used for acquiring the position information of any parking space and analyzing the traffic flow of the aisle around the position in real time, the parking space surrounding situation analysis module is used for analyzing the parking space surrounding situation according to the traffic flow, the parking space matching module is used for matching the vehicle with the parking space according to the parking space surrounding situation and the personal parking time of the vehicle owner, the nearby parking lot recommendation module is used for recommending other parking lots to the vehicle owner, wherein the other parking lots are about to go to the vicinity of the destination, and the route planning and navigation module is used for planning the route from the nearby parking lot to the destination of the vehicle owner and navigating the planned route.
Further, the license plate recognition module comprises a video recording sub-module and a recognition sub-module, the video recording sub-module carries out video monitoring on the periphery of the parking space, the recognition sub-module recognizes the license plate number of the vehicle after the vehicle enters the parking space, after the license plate number of the vehicle is recognized, the license plate number is recorded and stored, the storage information further comprises storage time, namely a time node for recognizing the license plate number of the vehicle, the recognition sub-module recognizes the license plate number of the vehicle after the vehicle enters the parking space, the current vehicle can be considered to be parked at the moment, namely the vehicle can not influence the traffic of the passage any more, the time node at the moment can be considered as the parking ending time,
the video recording sub-module further acquires the storage time through the identification sub-module, acquires the video before the storage time node according to the storage time, further searches the vehicle corresponding to the license plate number in the video according to the stored license plate number, when the distance between the corresponding vehicle and the parking space where the vehicle is finally parked is less than or equal to a first preset distance, the video recording submodule captures the video, and acquiring time nodes displayed in the screen shot, wherein the time nodes displayed in the screen shot are the starting parking time, the storage time is the ending parking time, the ending parking time is acquired, before the time node of ending the parking time, judging when the vehicle starts to park according to the video, that is, the starting parking time of the vehicle is obtained, and then the total time spent by the vehicle when the vehicle is parked can be calculated according to the starting parking time and the ending parking time.
Furthermore, the parking space parking time analysis module comprises a parking space type analysis submodule and a parking time analysis submodule, the parking space type analysis submodule is connected with the parking space peripheral obstacle detection module, the parking space peripheral obstacle detection module acquires the position information of a vacant parking space, the extending directions of the two ends of the first vehicle line or the second vehicle line are transverse, the extending directions of the two ends of the third vehicle line and the fourth vehicle line are longitudinal, and the first distance between the first vehicle line and the second vehicle line is further acquired
And a second distance between the third and fourth lane lines
The length of the first vehicle position line is equal to that of the second vehicle position line, the length of the third vehicle position line is equal to that of the fourth vehicle position line, the lengths of the first vehicle position line and the second vehicle position line are smaller than those of the third vehicle position line and the fourth vehicle position line, the figures enclosed by the general vehicle position lines are all rectangles, the figures comprise two short vehicle position lines and two long vehicle position lines, the direction relation is established according to the long vehicle position lines and the short vehicle position lines,
the detection module for the obstacles around the parking space further acquires the geometric center point of the current vacant parking space
Passing through said geometric center point
Make first plumb line perpendicular to first position line and second position line, and prolong first position line, second position line, third parking space line and fourth position line respectively, form the barrier detection area after the extension, acquire through the peripheral barrier detection module in parking space first plumb line one side barrier distance in the barrier detection area the first shortest transverse perpendicular distance of first plumb line
And further acquiring a second shortest transverse vertical distance between the obstacle on the other side of the first vertical line and the first vertical line in the obstacle detection area
。
Furthermore, the detection module for the obstacles around the parking space acquires the geometric center point of the current vacant parking space
And the geometric center point alpha is used as a second vertical line to be perpendicular to a third vehicle position line and a fourth vehicle position line, and a first shortest longitudinal vertical distance between an obstacle on one side of the second vertical line and the second vertical line in the obstacle detection area is obtained through a parking space peripheral obstacle detection module
Further obtaining a second shortest longitudinal vertical distance between the obstacle on the other side of the second perpendicular line and the second perpendicular line in the obstacle detection area
，
The parking space type analysis submodule is preset with a parking space type classification value interval and further obtains the first distance
A second distance
First shortest transverse vertical distance
The second shortest transverse vertical distance
First shortest longitudinal vertical distance
The second shortest longitudinal vertical distance
The parking space type analysis submodule calculates a classification value
And corresponding to a preset parking space type classification value interval according to the classification value F obtained by calculation, acquiring a corresponding parking space type, calculating the size of space around any vacant parking space according to the transverse vertical distance and the longitudinal vertical distance, and classifying the current vacant parking space according to the size of the space, wherein the driving technology of each vehicle owner is greatly different due to different driving ages of the vehicle owners, the surrounding space of some vacant parking spaces is small, vehicles are fully parked nearby, only the vacant parking space is reserved, a plurality of new drivers do not know to park the vehicles, and even if the vehicles are parked, a lot of time is spent, so that road congestion in the parking lot is caused, the operating efficiency of the parking lot is reduced, and scratch accidents cannot be avoided in the parking process, and the accidents are difficult to avoid, therefore, the vacant parking spaces are classified according to the sizes of the surrounding spaces of the vacant parking spaces, and the vacant parking spaces and the vehicle owners are classified according to the parking spaces and the driving technology of the vehicle ownersMatching is carried out between the car owners.
Further, the parking time analysis submodule is connected with the license plate recognition module, the parking time analysis submodule acquires parking starting time through the video recording submodule and acquires parking ending time through the recognition submodule, and the parking time analysis submodule calculates the time consumed by parking the vehicle corresponding to the license plate number according to the parking starting time and the parking ending time
And the time taken for parking the vehicle corresponding to the parking space type
The parking time is consumed
、
The values of (a) are the difference between the end parking time and the start parking time,
the parking time analysis submodule is also connected with a parking time data storage module, the parking time data stored by the parking time data storage module respectively correspond to the license plate number and the type of the parking space, and the parking time data storage module consumes time for parking
、
Storing the parking information corresponding to the license plate number and the parking space type, and further acquiring the first historical parking time data of the vehicle corresponding to the license plate number
、
、
、
、
、
Wherein, in the step (A),
the license plate number corresponds to the vehicle
The parking time analysis submodule also acquires second vehicle historical parking time data corresponding to the type of the parking space
、
、
、
、
、
Wherein, in the step (A),
corresponding to the parking space type
The time consumed to park a secondary vehicle in this type of parking space.
Further, the parking time analysis submodule further processes the historical parking data of the vehicle, and the parking time analysis submodule acquires the historical parking time data of the first vehicle corresponding to the license plate number
、
、
、
、
、
、
Equally dividing the first vehicle historical parking time data into a plurality of time periods according to time nodes, calculating the historical parking time data of each time period, and if any time period comprises b pieces of vehicle historical parking time data, calculating the skilled parking evaluation value in any time period
Wherein, in the step (A),
is the threshold value of the time for parking,
，
when the skilled parking evaluation value B is equal to or less than 0, the value after the arbitrary time period is acquired
The number of time periods is such that,
is an arbitrary value, and
calculating an expert parking evaluation value in each time period when the vehicle is parked
When the skilled parking assessment values in each time period are all less than or equal to 0, further acquiring all historical parking time data from any time period to the present, and calculating to obtain a first parking time average value of all the historical parking time data
Wherein the first average value of the parking time
，
When the skilled parking evaluation values B are all larger than 0, the first parking time average value
，
The driving technique of a common driver is increased along with the increase of time and driving times, the time is divided into a plurality of small time periods, the average parking time of each time period is calculated, the calculated average parking time is comprehensively analyzed and compared with a preset parking time threshold value, and when the skilled parking evaluation value B is a negative value, the fact that the average parking time of the time period is smaller than the parking time threshold value is explainedThe parking time threshold is used as a judgment standard, so that the calculation result of the average value of the first parking time is more accurate, if the initial parking time is calculated together, the value obtained by final calculation is obviously lower, the average parking time of the current vehicle owner cannot be truly reflected, and a plurality of parking time thresholds are selected
The analysis is performed over a period of time, in order to analyze the stability of the acquired data,
is an arbitrary value and is a function of,
the number of the time periods from the first skilled parking assessment value B to the current time is less than or equal to 0, if the value of the skilled parking assessment value B cannot meet the requirement that the value of the skilled parking assessment value B is less than or equal to 0 in all small time periods, the fact that the time of purchasing the vehicle by the vehicle owner is not long is probably explained, all historical parking time data can be calculated together, the calculated value is used as a first parking time average value, the first parking time average value refers to the average parking time consumed by the vehicle owner for parking each time,
the parking time analysis submodule acquires second vehicle historical parking time data corresponding to the type of the parking space
、
、
、
、
、
、
And further calculating a second average value of the stopping time
The method comprises the following steps that different vehicles can stop in each parking space, historical parking time data of each parking space are different according to different types of parking spaces and different driving technologies of drivers, the type of one parking space is changed along with the change of surrounding parked vehicles, the historical parking time data of each type of parking space refer to the time consumed by any vehicle for parking on the type of parking space, a second parking time average value is calculated according to the time data, and the first parking time average value and the second parking time average value are used as a standard for matching between a vehicle owner and any type of parking space.
Further, the license plate recognition module comprises a video recording sub-module, the video recording sub-module is connected with the parking space periphery aisle traffic flow analysis module, the parking space periphery aisle traffic flow analysis module acquires a screen shot of the video recording sub-module and further acquires a time node displayed in the screen shot according to the acquired screen shot, the parking space periphery aisle traffic flow analysis module further determines a parking space to which the current screen shot belongs according to the screen shot, peripheral aisle information of the parking space is determined according to the parking space, a certain time period is set, traffic flow data in the certain time period are determined according to the screen shot number and the time length in the certain time period, and the traffic flow data are determined
Wherein, in the step (A),
the number of screen shots in the certain period of time,
is the time length of the certain time period.
Further, the traffic flow analysis module of the aisle around the parking space is connected with the analysis module of the situation around the parking space, the analysis module of the situation around the parking space is connected with the vehicle navigation module, the analysis module of the situation around the parking space obtains the navigation destination of the vehicle and the estimated time of arriving the destination through the vehicle navigation module,
the parking space surrounding condition analysis module acquires parking lot information corresponding to a destination according to the navigation destination of the vehicle, further locks a vacant parking space in the current parking lot according to estimated time of arriving at the destination, and acquires aisle traffic flow corresponding to the vacant parking space and positioned in a certain time period according to the position information and the estimated time of the vacant parking space
And the certain time period corresponds to the estimated time.
Further, the parking space matching module is connected with the parking time analysis submodule and the parking space surrounding condition analysis module, and the parking space matching module obtains the first parking time average value through the parking time analysis submodule
And the second average value of the parking time
The parking space matching module calculates a matching evaluation value between the first parking time average value and the second parking time average value according to the first parking time average value and the second parking time average value
Wherein, in the step (A),
as a parking time threshold value when
The smaller the value of (A), the
And
the closer the values of (a) are, the more parking space that the vehicle owner needs, which type of parking space is determined according to the average parking time of the vehicle owner, the vehicle owner is matched with the type of parking space,
when matching the evaluation value
When the parking space type is smaller than or equal to the preset value, the parking space matching module further acquires the parking space type corresponding to the second parking time average value, acquires the position of the vacant parking space corresponding to the parking space type through the parking space surrounding condition analysis module, and acquires the aisle traffic flow in a certain time period according to the position information
And comparing the flow rates of the vehicles
And the first average value of the parking time
The numerical value of (1) when
Is greater than
When the value of (1) is a traffic flow
The numerical value of (A) reflects how long on average a vehicle passes from the location of the aisleHowever, the traffic flow needs to be analyzed according to time intervals, when the traffic flow is large and when the traffic flow is small in one day, the traffic flow is analyzed according to the time intervals, estimated time and time intervals when the car owner arrives at the destination are matched, the traffic flow conditions of the passageways at all the vacant parking space positions in the whole parking lot are judged when the car owner arrives at the parking lot, and according to the traffic flow
The value of the first parking time is the average value of the first parking time, so that the owner can judge whether the owner parks at a certain position or not, but the parking time of the owner is greater than the traffic flow
The number of the parking space matching module is used for obtaining the parking space position of the corresponding aisle and recommending the parking space position to the user, wherein the congestion of the aisle is possibly caused, the estimated value of the parking time is the first average value of the parking time, and therefore the operation efficiency of the parking lot is low, and the maintenance of the parking lot is not facilitated.
Further, the parking space matching module is connected with the nearby parking space recommending module, the nearby parking space recommending module is connected with the route planning and navigation module and the vehicle navigation module, the nearby parking space recommending module obtains a matching result of the parking space matching module, if the current parking space matching module does not recommend the user, destination information to be traveled by the vehicle is further obtained through the vehicle navigation module, the nearby parking space is selected according to the destination, vacant parking space information of the nearby parking space is confirmed, corresponding vacant parking spaces are matched for the user according to the vacant parking space information and the personal parking time of the current user, and route planning and navigation between the nearby parking space and the destination are provided for the user through the route planning and navigation module.
Compared with the prior art, the invention has the following beneficial effects: according to the method, the obstacles around the parking lot are analyzed, vacant parking lots are classified according to the analysis result, so that the time consumed by historical parking of each type of parking lot is obtained, the time consumed by historical parking corresponding to any license plate is obtained according to license plate identification, the flow of aisle vehicles around the vacant parking lots is further analyzed, the parking lots are matched for users according to the analysis result, and if the parking lots cannot be matched currently, the information of nearby parking lots is further obtained, so that the information of the parking lots can be shared, the operation efficiency of the parking lots is improved, and the problems of difficulty in finding the parking lots and high idle rate are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of an AI application control management system based on a smart city 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 present invention provides a technical solution:
an AI application control management system based on a smart city comprises a parking time data storage module, a license plate recognition module, a parking space parking time analysis module, a vehicle navigation module, a parking space peripheral obstacle detection module, a parking space peripheral aisle traffic flow analysis module, a parking space peripheral condition analysis module, a parking space matching module, a nearby parking lot recommendation module and a route planning and navigation module,
the parking time data storage module is used for storing each parking time of a vehicle and the parking time of the vehicle in a corresponding type of parking space, the license plate recognition module is used for recognizing the license plate number of the vehicle parked on the parking space and acquiring the starting parking time and the ending parking time of the vehicle corresponding to the license plate number, the parking space parking time analysis module is used for analyzing any historical vehicle parking time corresponding to the license plate number or corresponding to the type of the parking space, the vehicle navigation module is used for acquiring the destination of the vehicle and navigating, the parking space peripheral obstacle detection module is used for acquiring the position information of any parking space and analyzing obstacles around the position, the parking space peripheral aisle traffic flow analysis module is used for acquiring the position information of any parking space and analyzing the traffic flow of the aisles around the position in real time, and the parking space peripheral condition analysis module is used for analyzing the peripheral condition of the parking space according to the traffic flow, the parking space matching module is used for matching the vehicle with the parking space according to the surrounding condition of the parking space and the personal parking time of the vehicle owner, the nearby parking lot recommending module is used for recommending other parking lots to the vehicle owner, wherein the nearby parking lot recommending module is used for recommending the vehicle owner to the nearby parking lot, and the route planning and navigation module is used for planning a route from the nearby parking lot to the destination and navigating the planned route.
The license plate recognition module comprises a video recording submodule and a recognition submodule, the video recording submodule carries out video monitoring on the periphery of the parking space, the recognition submodule recognizes the license plate number of the vehicle after the vehicle enters the parking space, when the license plate number of the vehicle is recognized, the license plate number is recorded and stored, the storage information also comprises storage time, namely a time node for recognizing the license plate number of the vehicle,
the video recording submodule further acquires storage time through the identification submodule, acquires a video before the storage time node according to the storage time, further searches a vehicle corresponding to the license plate number in the video according to the stored license plate number, and when the distance between the corresponding vehicle and a parking space where the vehicle finally parks is smaller than or equal to a first preset distance, the video recording submodule captures a screen of the video and acquires the time node displayed in the screen capture, wherein the time node displayed in the screen capture is the parking starting time, and the storage time is the parking ending time.
The parking space parking time analysis module comprises a parking space type analysis submodule and a parking time analysis submodule, and the parking space type analysis submodule is connected with the vehicleThe parking space peripheral obstacle detection module acquires position information of a vacant parking space, and further acquires a first distance between a first vehicle line and a second vehicle line by taking the extension directions of two ends of the first vehicle line or the second vehicle line as the transverse direction and the extension directions of two ends of a third vehicle line and a fourth vehicle line as the longitudinal direction
And a second distance between the third and fourth lane lines
The length of the first vehicle line is equal to that of the second vehicle line, the length of the third vehicle line is equal to that of the fourth vehicle line, the lengths of the first vehicle line and the second vehicle line are less than that of the third vehicle line and the fourth vehicle line,
the parking space peripheral obstacle detection module further acquires a geometric center point alpha of a current vacant parking space, a first vertical line perpendicular to the first line and the second line is made to pass through the geometric center point alpha, the first line, the second line, the third line and the fourth line are respectively extended, an obstacle detection area is formed after extension, and a first shortest transverse vertical distance between an obstacle on one side of the first vertical line and the first vertical line in the obstacle detection area is acquired through the parking space peripheral obstacle detection module
Further obtaining a second shortest transverse vertical distance between the obstacle on the other side of the first vertical line and the first vertical line in the obstacle detection area
。
Method for acquiring geometric center point of current vacant parking space by using parking space peripheral obstacle detection module
And the geometric center point alpha is used as a second vertical line which is perpendicular to the third vehicle location line and the fourth vehicle location lineThe obstacle detection module surrounding the passing parking space obtains a first shortest longitudinal vertical distance between an obstacle on one side of a second vertical line and the second vertical line in an obstacle detection area
Further obtaining a second shortest longitudinal vertical distance between the obstacle on the other side of the second perpendicular line and the second perpendicular line in the obstacle detection area
，
The parking space type analysis submodule is preset with a parking space type classification value interval and further obtains a first distance
A second distance
First shortest transverse vertical distance
The second shortest transverse vertical distance
First shortest longitudinal vertical distance
The second shortest longitudinal vertical distance
The parking space type analysis submodule calculates the classification value
And acquiring the corresponding parking space type according to the correspondence between the classification value F obtained by calculation and the preset parking space type classification value interval.
The parking time analysis submodule is connected with the license plate recognition module and is used for analyzing the parking time through videoThe submodule acquires the time for starting parking, further acquires the time for ending parking through the identification submodule, and the parking time analysis submodule calculates the time consumed for parking the vehicle corresponding to the license plate number according to the time for starting parking and the time for ending parking
And the time taken for parking the vehicle corresponding to the parking space type
The parking time is consumed
、
The values of (a) are the difference between the end parking time and the start parking time,
the parking time analysis submodule is also connected with a parking time data storage module, the parking time data stored by the parking time data storage module respectively correspond to the license plate number and the type of the parking space, and the parking time data storage module consumes time for parking
、
Storing the parking information corresponding to the license plate number and the parking space type, and further acquiring the first historical parking time data of the vehicle corresponding to the license plate number
、
、
、
、
、
Wherein, in the step (A),
the license plate number corresponds to the vehicle
The secondary parking time data and the parking time analysis submodule also acquire the historical parking time data of a second vehicle corresponding to the type of the parking space
、
、
、
、
、
Wherein, in the step (A),
corresponding to the parking space type
The time consumed to park a secondary vehicle in this type of parking space.
Parking time analysis submodule advances oneThe parking time analysis submodule processes the historical parking time data of the vehicle according to the acquired first historical parking time data of the vehicle corresponding to the license plate number
、
、
、
、
、
、
Dividing the first vehicle historical parking time data into a plurality of time periods according to time nodes, calculating the historical parking time data of each time period, and if any time period comprises b pieces of vehicle historical parking time data, calculating the proficient parking evaluation value in any time period
Wherein, in the step (A),
is the threshold value of the time for parking,
，
when the skilled parking evaluation value B is equal to or less than 0, the value after the arbitrary time period is acquired
The number of time periods is such that,
is an arbitrary value, and
calculating an estimated value of skilled parking in each time period when
When the skilled parking evaluation values in each time period are all less than or equal to 0, further acquiring all historical parking time data from any time period to the present time, and calculating to obtain the first parking time average value of all the historical parking time data
Wherein the first average value of the parking time
，
When the skilled parking evaluation values B are all larger than 0, the first parking time average value
，
The parking time analysis submodule acquires second vehicle historical parking time data corresponding to the type of the parking space
、
、
、
、
、
、
And further calculating a second average value of the stopping time
。
The license plate recognition module comprises a video recording sub-module, the video recording sub-module is connected with a parking space periphery aisle traffic flow analysis module, the parking space periphery aisle traffic flow analysis module acquires a screen shot of the video recording sub-module, a time node displayed in the screen shot is further acquired according to the acquired screen shot, the parking space periphery aisle traffic flow analysis module also determines a parking space to which the current screen shot belongs according to the screen shot, periphery aisle information is determined according to the parking space, a certain time period is set, traffic flow data in the certain time period are determined according to the screen shot number and the time length in the certain time period, and the traffic flow data
Wherein, in the step (A),
is the number of screen shots in a certain period of time,
is the time length of a certain time period.
The parking space surrounding aisle traffic flow analysis module is connected with the parking space surrounding situation analysis module, the parking space surrounding situation analysis module is connected with the vehicle navigation module, the parking space surrounding situation analysis module acquires the navigation destination of the vehicle and the estimated time of arriving the destination through the vehicle navigation module,
the parking space surrounding situation analysis module acquires a parking lot information corresponding to the destination according to the navigation destination of the vehicleAnd further locking the vacant parking spaces in the current parking lot according to the estimated time of arriving at the destination, and acquiring the aisle traffic flow corresponding to the vacant parking spaces in a certain time period according to the position information and the estimated time of the vacant parking spaces
The certain time period corresponds to the estimated time.
The parking space matching module is connected with the parking time analysis submodule and the parking space surrounding condition analysis module, and the parking space matching module obtains a first parking time average value through the parking time analysis submodule
And the second average value of the parking time
The parking space matching module calculates a matching evaluation value between the first parking time average value and the second parking time average value according to the first parking time average value and the second parking time average value
Wherein, in the step (A),
is the threshold value of the time for parking,
when the matching evaluation value P is smaller than or equal to the preset value, the parking space matching module further acquires the parking space type corresponding to the second parking time average value, acquires the position of the vacant parking space corresponding to the parking space type through the parking space surrounding condition analysis module, and acquires the aisle traffic flow in a certain time period according to the position information of the vacant parking space type
And comparing the flow rates of the vehicles
And the first average value of the parking time
The numerical value of (1) when
Is greater than
The parking space matching module acquires the parking space position of the corresponding passageway and recommends the parking space position to the user.
The parking space matching module is connected with the nearby parking space recommending module, the nearby parking space recommending module is connected with the route planning and navigation module and the vehicle navigation module, the nearby parking space recommending module obtains a matching result of the parking space matching module, if the current parking space matching module does not recommend to a user, destination information to be traveled by the vehicle is further obtained through the vehicle navigation module, the nearby parking space is selected according to the destination, vacant parking space information of the nearby parking space is confirmed, corresponding vacant parking spaces are matched for the user according to the vacant parking space information and the personal parking time of the current user, and route planning and navigation between the nearby parking space and the destination are provided for the user through the route planning and navigation module.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a AI application control management system based on wisdom city which characterized in that: comprises a parking time data storage module, a license plate recognition module, a parking space parking time analysis module, a vehicle navigation module, a parking space peripheral obstacle detection module, a parking space peripheral aisle traffic flow analysis module, a parking space peripheral condition analysis module, a parking space matching module, a nearby parking lot recommendation module and a route planning and navigation module,
the parking time data storage module is used for storing each parking time of a vehicle and the parking time of the vehicle in a corresponding type of parking space, the license plate recognition module is used for recognizing the license plate number of the vehicle parked on the parking space and acquiring the starting parking time and the ending parking time of the vehicle corresponding to the license plate number, the parking time analysis module is used for analyzing any historical vehicle parking time corresponding to the license plate number or the type of the parking space, the vehicle navigation module is used for acquiring the destination of the vehicle and navigating, the obstacle detection module around the parking space is used for acquiring the position information of any parking space and analyzing the obstacles around the position, the traffic flow analysis module around the parking space is used for acquiring the position information of any parking space and analyzing the traffic flow of the aisle around the position in real time, the parking space surrounding situation analysis module is used for analyzing the parking space surrounding situation according to the traffic flow, the parking space matching module is used for matching the vehicle with the parking space according to the parking space surrounding situation and the personal parking time of the vehicle owner, the nearby parking lot recommendation module is used for recommending other parking lots to the vehicle owner, wherein the other parking lots are about to go to the vicinity of the destination, and the route planning and navigation module is used for planning the route from the nearby parking lot to the destination of the vehicle owner and navigating the planned route.
2. The AI application control and management system according to claim 1, wherein: the license plate recognition module comprises a video recording submodule and a recognition submodule, the video recording submodule carries out video monitoring on the periphery of the parking space, the recognition submodule recognizes the license plate number of the vehicle after the vehicle enters the parking space, when the license plate number of the vehicle is recognized, the license plate number is recorded and stored, the stored information also comprises the storage time, namely the time node of recognizing the license plate number of the vehicle,
the video recording submodule further acquires the storage time through the identification submodule, acquires a video before the storage time node according to the storage time, further searches a vehicle corresponding to the license plate number in the video according to the stored license plate number, and when the distance between the corresponding vehicle and a parking space where the vehicle finally parks is smaller than or equal to a first preset distance, the video recording submodule captures a screen of the video and acquires a time node displayed in the screen capture, wherein the time node displayed in the screen capture is the parking starting time, and the storage time is the parking ending time.
3. The AI application control and management system according to claim 1, wherein: the parking space parking time analysis module comprises a parking space type analysis submodule and a parking time analysis submodule, the parking space type analysis submodule is connected with a parking space peripheral obstacle detection module, the parking space peripheral obstacle detection module acquires position information of a vacant parking space, the extending directions of two ends of a first vehicle line or a second vehicle line are transverse, the extending directions of two ends of a third vehicle line and a fourth vehicle line are longitudinal, and a first distance between the first vehicle line and the second vehicle line is further acquired
And a second distance between the third and fourth lane lines
The length of the first vehicle line is equal to that of the second vehicle line, the length of the third vehicle line is equal to that of the fourth vehicle line, and the lengths of the first vehicle line and the second vehicle line are smaller than those of the third vehicle line and the fourth vehicle line,
the detection module for the obstacles around the parking space further acquires the geometric center point of the current vacant parking space
The geometric center point alpha is used as a first vertical line perpendicular to the first vehicle location line and the second vehicle location line, the first vehicle location line, the second vehicle location line, the third vehicle location line and the fourth vehicle location line are respectively extended, an obstacle detection area is formed after extension, and a first shortest transverse vertical distance between an obstacle on one side of the first vertical line and the first vertical line in the obstacle detection area is obtained through a parking space peripheral obstacle detection module
And further acquiring a second shortest transverse vertical distance between the obstacle on the other side of the first vertical line and the first vertical line in the obstacle detection area
。
4. The AI application control and management system according to claim 3, wherein: the detection module for the obstacles around the parking space acquires the geometric center point of the current vacant parking space
Passing through said geometric center point
Making the second vertical line perpendicular to the third parking space line and the fourth parking space lineThe parking space line is obtained through a parking space peripheral obstacle detection module, the obstacle distance on one side of a second perpendicular line in the obstacle detection area is the first shortest longitudinal vertical distance of the second perpendicular line
Further obtaining a second shortest longitudinal vertical distance between the obstacle on the other side of the second perpendicular line and the second perpendicular line in the obstacle detection area
，
The parking space type analysis submodule is preset with a parking space type classification value interval and further obtains the first distance
A second distance
First shortest transverse vertical distance
The second shortest transverse vertical distance
First shortest longitudinal vertical distance
The second shortest longitudinal vertical distance
The parking space type analysis submodule calculates a classification value
And according to the classification value F obtained by calculation and the preset parking space type classification valueAnd corresponding intervals and acquiring corresponding parking space types.
5. The AI application control and management system according to claim 2 or 3, wherein: the parking time analysis submodule is connected with the license plate recognition module, the parking time analysis submodule acquires parking starting time through the video recording submodule and further acquires parking ending time through the recognition submodule, and the parking time analysis submodule calculates the time consumed by parking the vehicle corresponding to the license plate number according to the parking starting time and the parking ending time
And the time taken for parking the vehicle corresponding to the parking space type
The parking time is consumed
、
The values of (a) are the difference between the end parking time and the start parking time,
the parking time analysis submodule is also connected with a parking time data storage module, the parking time data stored by the parking time data storage module respectively correspond to the license plate number and the type of the parking space, and the parking time data storage module consumes time for parking
、
Storing the parking information corresponding to the license plate number and the parking space type, and further acquiring the first historical parking time data of the vehicle corresponding to the license plate number
、
、
、
、
、
Wherein, in the step (A),
the parking time analysis submodule also acquires the second vehicle historical parking time data corresponding to the type of the parking space for the nth time of the vehicle corresponding to the license plate number
、
、
、
、
、
Wherein, in the step (A),
the consumed parking time for the nth vehicle corresponding to the parking space type to park on the parking space of the type is obtained.
6. The AI application control and management system according to claim 5, wherein: the parking time analysis submodule further processes the historical parking data of the vehicle, and the parking time analysis submodule acquires the historical parking time data of the first vehicle corresponding to the license plate number
、
、
、
、
、
、
Equally dividing the first vehicle historical parking time data into a plurality of time periods according to time nodes, calculating the historical parking time data of each time period, and if any time period comprises b pieces of vehicle historical parking time data, calculating the skilled parking evaluation value in any time period
Wherein, in the step (A),
is the threshold value of the time for parking,
，
when the skilled parking evaluation value B is equal to or less than 0, the value after the arbitrary time period is acquired
The number of time periods is such that,
is an arbitrary value, and
calculating an expert parking evaluation value in each time period when the vehicle is parked
When the skilled parking assessment values in each time period are all less than or equal to 0, further acquiring all historical parking time data from any time period to the present, and calculating to obtain a first parking time average value of all the historical parking time data
Wherein the first average value of the parking time
，
When the skilled parking evaluation values B are all larger than 0, the first parking time average value
，
The parking time analysis submodule acquires second vehicle historical parking time data corresponding to the type of the parking space
、
、
、
、
、
、
And further calculating a second average value of the stopping time
。
7. The AI application control and management system according to claim 6, wherein: the license plate recognition module comprises a video recording sub-module, the video recording sub-module is connected with the parking space periphery aisle traffic flow analysis module, the parking space periphery aisle traffic flow analysis module acquires the screen shot of the video recording sub-module and further acquires the time node displayed in the screen shot according to the acquired screen shot, the parking space periphery aisle traffic flow analysis module further determines the parking space to which the current screen shot belongs according to the screen shot, and the time node is determined according to the screen shotDetermining peripheral aisle information of a parking space according to the parking space, setting a certain time period, and determining traffic flow data in the certain time period according to the screen capturing quantity and the time length in the certain time period, wherein the traffic flow
Wherein, in the step (A),
the number of screen shots in the certain period of time,
is the time length of the certain time period.
8. The AI application control and management system according to claim 7, wherein: the parking space surrounding aisle traffic flow analysis module is connected with the parking space surrounding situation analysis module, the parking space surrounding situation analysis module is connected with the vehicle navigation module, the parking space surrounding situation analysis module acquires the navigation destination of the vehicle and the estimated time of arriving the destination through the vehicle navigation module,
the parking space surrounding condition analysis module acquires parking lot information corresponding to a destination according to the navigation destination of the vehicle, further locks a vacant parking space in the current parking lot according to estimated time of arriving at the destination, and acquires aisle traffic flow corresponding to the vacant parking space and positioned in a certain time period according to the position information and the estimated time of the vacant parking space
And the certain time period corresponds to the estimated time.
9. The AI application control and management system according to claim 8, wherein: the parking space matching module is connected with the parking time analysis submodule and the parking space surrounding condition analysis moduleThe parking space matching module obtains a first parking time average value through a parking time analysis submodule
And the second average value of the parking time
The parking space matching module calculates a matching evaluation value between the first parking time average value and the second parking time average value according to the first parking time average value and the second parking time average value
Wherein, in the step (A),
is the threshold value of the time for parking,
when the matching evaluation value P is smaller than or equal to a preset value, the parking space matching module further acquires a parking space type corresponding to the second parking time average value, acquires the position of a vacant parking space corresponding to the parking space type through the parking space surrounding condition analysis module, and acquires the aisle traffic flow in a certain time period according to the position information of the vacant parking space type
And comparing the flow rates of the vehicles
And the first average value of the parking time
The numerical value of (1) when
Is greater than
And when the numerical value is less than the preset value, the parking space matching module acquires the parking space position of the corresponding passageway and recommends the parking space position to a user.
10. The AI application control and management system according to claim 9, wherein: the parking space matching module is connected with the nearby parking space recommending module, the nearby parking space recommending module is connected with the route planning and navigation module and the vehicle navigation module, the nearby parking space recommending module obtains a matching result of the parking space matching module, if the current parking space matching module does not recommend to a user, destination information to be traveled by the vehicle is further obtained through the vehicle navigation module, the nearby parking space is selected according to the destination, vacant parking space information of the nearby parking space is confirmed, corresponding vacant parking spaces are matched for the user according to the vacant parking space information and the personal parking time analysis of the current user, and route planning and navigation between the nearby parking space and the destination are provided for the user through the route planning and navigation module.
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