CN115311894A - Intelligent parking management method, system, terminal and medium based on big data analysis - Google Patents
Intelligent parking management method, system, terminal and medium based on big data analysis Download PDFInfo
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- CN115311894A CN115311894A CN202211108910.2A CN202211108910A CN115311894A CN 115311894 A CN115311894 A CN 115311894A CN 202211108910 A CN202211108910 A CN 202211108910A CN 115311894 A CN115311894 A CN 115311894A
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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
- G08G1/148—Management of a network of parking areas
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096827—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed onboard
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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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
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
- G08G1/143—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces inside the vehicles
Abstract
The invention discloses an intelligent parking management method, a system, a terminal and a medium based on big data analysis, wherein the method comprises the following steps: acquiring parking space information of all parking lots and road sections in a city; acquiring a real-time parking state of each parking space; receiving real-time positioning information sent by a target vehicle, and acquiring parking space information within a preset range according to the real-time positioning information; screening out all idle parking space information in a preset range according to the parking space information in the preset range and the corresponding real-time parking state; and generating corresponding parking guidance information according to the free parking space information and sending the corresponding parking guidance information to the target vehicle. The invention enables the target vehicle to quickly find the free parking space when the vehicle needs to park, and simultaneously enables the hidden parking space to be clearly and obviously known by the driver, thereby getting through the information barrier between the driver and the parking space in the city and improving the utilization rate of each parking space.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of parking management, in particular to an intelligent parking management method, system, terminal and medium based on big data analysis.
[ background of the invention ]
With the increasing quantity of all people in vehicles, the difficulty in parking becomes a pain point for many citizens to go out, and a large amount of parking requirements are not matched with limited parking space resources. Meanwhile, when a driver needs to park in an unfamiliar road section, much time is often spent on finding a parking lot or an in-road parking space with an idle parking space nearby, so that parking is inconvenient. In addition, because the existing parking information is not fully disclosed, the utilization rate of some concealed parking spaces is low, and huge parking resource waste is formed. Therefore, it is an urgent problem to solve how to get through the information barrier between the driver and the nearby parking space.
In view of the above, it is desirable to provide a method, a system, a terminal and a medium for intelligent parking management based on big data analysis to overcome the above-mentioned drawbacks.
[ summary of the invention ]
The invention aims to provide an intelligent parking management method, an intelligent parking management system, an intelligent parking management terminal and an intelligent parking management medium based on big data analysis, and aims to solve the problem of how to get through information barriers between a driver and nearby parking spaces, so that the driver can park quickly even in an unfamiliar road section, and the utilization rate of each parking space is improved.
In order to achieve the above object, a first aspect of the present invention provides an intelligent parking management method based on big data analysis, including:
acquiring parking space information of all parking lots and road sections in a city; wherein the parking space information comprises positioning information of each parking space;
acquiring a real-time parking state of each parking space; the parking state comprises whether the vehicle is parked or not, license plate information of the parked vehicle, a parking time point and the current parking duration;
receiving real-time positioning information sent by a target vehicle, and acquiring parking space information within a preset range according to the real-time positioning information;
screening out all the idle parking space information in the preset range according to the parking space information in the preset range and the corresponding real-time parking state;
and generating corresponding parking guidance information according to the free parking space information and sending the corresponding parking guidance information to the target vehicle.
In a preferred embodiment, screening out all the free parking space information within the preset range according to the parking space information within the preset range and the corresponding real-time parking state thereof includes:
and sequencing according to the number of the idle parking spaces or the distance relative to the target vehicle according to the idle parking space information of each parking lot and each road section in the preset range to generate a corresponding idle parking space list.
In a preferred embodiment, the method further comprises:
acquiring dynamic parking data of each parking lot and each road section in the daytime and at night respectively;
dividing each parking lot and each road section into a first class of berths and a second class of berths according to the dynamic parking data; the number of idle parking spaces in the first class of berths in the daytime period is greater than that in the evening period, and the number of idle parking spaces in the second class of berths in the daytime period is less than that in the evening period;
in the parking guidance information, the first type of berth is preferentially recommended to the target vehicle needing parking in the daytime, and the second type of berth is preferentially recommended to the target vehicle needing parking in the evening.
In a preferred embodiment, the method further comprises:
in the parking guidance information, displaying the position of each parking lot and each road section in a preset range and the corresponding number of idle parking spaces in a map according to the idle parking space information;
according to the absolute number of the idle parking spaces or the proportion of the number of the idle parking spaces in all parking spaces, real-time grade identification is carried out on each parking lot and each road section according to a preset classification rule; wherein, each grade is mapped with different colors one by one;
and displaying corresponding colors for the marks of each parking lot and each road section in a preset range in the map according to the currently determined real-time level.
In a preferred embodiment, the method further comprises:
acquiring real-time positioning information of each vehicle;
acquiring positioning information of each parking space and license plate information of a currently parked vehicle;
and judging whether the real-time positioning information of the corresponding vehicle is matched with the positioning information of the parking space where the corresponding vehicle is parked or not according to the license plate information, and if not, judging that the vehicle is abnormally parked.
In a preferred embodiment, the method further comprises:
recording parking information of the vehicle judged to be abnormally parked;
dispatching a patrolman to visit the corresponding parking space for patrolling according to the parking information, and carrying out secondary confirmation on the parking state of the vehicle according to the patrolman patrolling result.
In a preferred embodiment, the method further comprises:
and issuing and updating the parking space change information of the in-road berths of each parking lot and each road section in the city in real time or at preset time intervals on the map according to the parking space information.
The invention provides an intelligent parking management system based on big data analysis, comprising:
the parking space information acquisition module is used for acquiring parking space information of all parking lots and road sections in a city; wherein the parking space information comprises positioning information of each parking space;
the parking state acquisition module is used for acquiring the real-time parking state of each parking space; the parking state comprises whether the vehicle is parked or not, license plate information of the parked vehicle, a parking time point and the current parking duration;
the positioning information receiving module is used for receiving real-time positioning information sent by a target vehicle and acquiring parking space information within a preset range according to the real-time positioning information;
the free parking space screening module is used for screening out all free parking space information in the preset range according to the parking space information in the preset range and the corresponding real-time parking state;
and the guidance information sending module is used for generating corresponding parking guidance information according to the free parking space information and sending the parking guidance information to the target vehicle.
A third aspect of the present invention provides a terminal, which includes a memory, a processor, and a computer program stored in the memory, wherein the computer program, when executed by the processor, implements the steps of the intelligent parking management method based on big data analysis according to any one of the above embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the steps of the intelligent parking management method based on big data analysis according to any one of the above embodiments.
A fifth aspect of the present invention provides a computer program product comprising a computer program or instructions which, when being processed and executed, implement the steps of the intelligent parking management method based on big data analysis as described in any one of the above embodiments.
According to the intelligent parking management method, the intelligent parking management system, the intelligent parking management terminal and the intelligent parking management medium based on big data analysis, the parking space information in the urban area where the target vehicle is located is obtained, then the nearby free parking space information is screened out according to the real-time positioning information of the target vehicle and is sent to the target vehicle, so that the target vehicle can quickly find the free parking space when parking is needed, meanwhile, the hidden parking space can be clearly and obviously known by a driver, the information barrier between the driver and the parking space in the city is opened, the driver can quickly park on an unfamiliar road section, and meanwhile, the utilization rate of each parking space is improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a smart parking management method based on big data analysis according to the present invention;
FIG. 2 is a flowchart illustrating another embodiment of the intelligent parking management method based on big data analysis shown in FIG. 1;
FIG. 3 is a flowchart illustrating another embodiment of the intelligent parking management method based on big data analysis shown in FIG. 1;
FIG. 4 is a flowchart illustrating a method for intelligent parking management based on big data analysis shown in FIG. 1 according to another embodiment;
fig. 5 is a frame diagram of the intelligent parking management system based on big data analysis according to the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantageous effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Example one
In the embodiment of the invention, the intelligent parking management method based on big data analysis is provided, which is used for orderly managing the parking spaces in a city, breaking through the island of the conventional urban parking information resource, and getting through the information barrier between each parking space information and the driver, so that the driver can park quickly even in an unfamiliar road section, and meanwhile, the utilization rate of each parking space is improved. In the present embodiment, the parking space includes a parking space such as an indoor parking space, an outdoor parking space, an on-road parking space, and an off-road parking space. Wherein, the in-road berth refers to a temporary berthing area divided by the road edge of the carriageway along a white line; off-road berths refer to areas within a planned range where vehicles may be parked for short or long periods of time.
As shown in fig. 1, the intelligent parking management method based on big data analysis includes the following steps S101-S105.
Step S101, acquiring parking space information of all parking lots and road sections in a city; wherein the parking space information comprises positioning information of each parking space.
It should be noted that, the parking state of the parking lot can be obtained in real time by accessing the data of the existing management platform of the parking lot, or by arranging the geomagnetic detector, the video pile, the high-level video gun and other existing manners in each parking lot and each road section, and the parking state is transmitted to the rear-end platform through the network. The image shot by the video can be used for judging whether a vehicle exists in the parking space in an image recognition mode, such as a vehicle recognition deep neural network model. Therefore, the positioning information of each parking space basically belongs to static data that does not change for a short time.
Step S102, acquiring a real-time parking state of each parking space; the parking state comprises whether the vehicle is parked or not, license plate information of the parked vehicle, a parking time point and the current parking time length.
In this step, it may be determined whether a vehicle is parked in the parking space by using the existing techniques such as geomagnetic detection and video image recognition, so as to obtain dynamic data of each parking space about the vehicle information. If the vehicle is parked, the basic information of the vehicle on each parking space is recorded, so that the follow-up big data analysis of parameters such as the vehicle access quantity, the main parking duration and the like of each parking space and the parking lot or road section where the parking space is located can be conveniently carried out.
And step S103, receiving the real-time positioning information sent by the target vehicle, and acquiring parking space information within a preset range according to the real-time positioning information.
Specifically, the target vehicle may remotely send its real-time location information to the backend server through a terminal (including but not limited to a device with a location function, such as a user's mobile phone, a vehicle-mounted location device, etc.). After receiving the real-time positioning information sent by the target vehicle, the background server calculates the distance between each parking lot (usually with the entrance as a base point) and the road section (one of the parking lots can be designated as a base point) relative to the target vehicle by taking the target vehicle as a center point, and then screens out all parking lots and road sections with parking lots in a preset range (for example, 2 km).
And step S104, screening out all the free parking space information in the preset range according to the parking space information in the preset range and the corresponding real-time parking state.
In this step, corresponding idle parking space information is obtained according to the real-time parking states of the screened parking lots and road sections (including the parking places in the road and the parking places out of the road). Further, the idle parking space information of each parking lot and each road section in the preset range is sorted according to the number of the idle parking spaces or the distance relative to the target vehicle, and a corresponding idle parking space list is generated. For example, all parking lots and road sections in the target vehicle 2km are sequenced from large to small according to the number of the idle parking lots, so that a driver of the target vehicle can know the distribution condition of all the idle parking lots in the vicinity of 2km, the situation that hidden parking lots are omitted is avoided, the driver can select a parking destination conveniently, the driver can select the parking lot or the road section which is closest to the driver and has more idle parking lots as much as possible, and the efficiency of searching the parking lots by the driver is improved.
And step S105, generating corresponding parking guidance information according to the free parking space information and sending the parking guidance information to the target vehicle.
Specifically, the background server may generate parking guidance information in the form of the parking space or the road segment where the free parking space meets the condition, for example, map linking, location sharing, and the like, so that the driver of the target vehicle can immediately display the parking space and the road segment where the target vehicle can park on the map after acquiring the parking guidance information. Since the positioning information of the target vehicle changes at any time during the driving process of the target vehicle, the background server updates the parking guidance information every predetermined time period (for example, 10s or 30 s).
Further, parking lots and road sections with the number of idle parking spaces lower than a preset parking space number threshold (for example, 5) can be screened out, for example, only 3 parking lots a with the current number of idle parking spaces will not be displayed in the parking guidance information, so that the situation that after the driver drives to the parking lots a, the remaining idle parking spaces are completely parked is avoided, and the invalid driving route of the target vehicle is reduced.
Further, in one embodiment, as shown in fig. 2, the method further includes the following steps S201 to S203.
Step S201, acquiring dynamic parking data of each parking lot and each road segment in the day time period and the night time period respectively.
The whole day can be divided into two time periods according to the daily time period of going to and from work in the city, for example, beijing time 6-18 is defined as the day time period, and 18. Then, the total number of parked vehicles and the total number of outgoing vehicles in each time period of each parking lot and each road section are respectively counted, or the variation information of each parking lot and each road section in the vacant parking spaces is respectively counted, namely, a part of the dynamic parking data is formed.
Step S202, dividing each parking lot and each road section into a first class of berths and a second class of berths according to the dynamic parking data; the number of the idle parking spaces in the first class of berths in the daytime period is larger than that in the evening period, and the number of the idle parking spaces in the second class of berths in the daytime period is smaller than that in the evening period.
The empty parking spaces at the middle time point of each time interval can be taken as the reference number for comparison, for example, the number of the empty parking spaces at 12 m.m. is taken as the first reference point in the daytime interval, and the number of the empty parking spaces at 00 m.p. is taken as the second reference point in the evening interval, so that the two reference points are compared. Of course, the comparison may be performed in other manners, such as average number of empty parking spaces. Generally, the first class of parking spaces is generally parking spaces or road sections which are biased toward living quarters, and represent a net outflow of vehicles during the daytime hours and a net inflow of vehicles during the night hours, resulting in more vacant parking spaces during the daytime hours. The second class of parking spaces is generally parking spaces or road sections that are biased toward the work area, and represent a net inflow of vehicles during the daytime hours and a net outflow of vehicles during the evening hours, resulting in more vacant parking spaces during the evening hours. In summary, each parking lot and road section will exhibit certain properties of vehicle tidal variations.
Step S203, in the parking guidance information, preferentially recommending a first type of parking space to the target vehicle needing parking in the daytime, and preferentially recommending a second type of parking space to the target vehicle needing parking in the evening. The parking lot and the road section with certain vehicle tidal change are recommended in a staggered time and peak mode, parking spaces in the whole city are fully utilized, the situation that parking on one side is difficult and parking on the other side is idle and wasted is avoided, and the utilization rate of each parking space is improved.
Further, in one embodiment, as shown in FIG. 3, the method further includes the following steps S301-S303.
Step S301, in the parking guidance information, the position of each parking lot and each road section in the preset range and the corresponding number of the idle parking spaces are displayed in the map according to the idle parking space information.
Step S302, performing real-time grade identification on each parking lot and each road section according to a preset classification rule according to the absolute number of the idle parking spaces or the proportion of the number of the idle parking spaces to all parking spaces; wherein each level is mapped with a different color.
For example, the number of empty parking spaces of 0-10 is considered as the first level, the number of empty parking spaces of 11-30 is considered as the second level, and so on. Meanwhile, one color is previously assigned to each rank, for example, the first rank is assigned to red, and the like.
And step S303, displaying corresponding colors for the marks of each parking lot and each road section in a preset range in the map according to the currently determined real-time level.
Therefore, in the parking guidance information, when the driver performs corresponding visual display on the map, the corresponding color assignment may be performed on the identification (including but not limited to icons, displayed characters, and the like) of each parking lot and road segment within the preset range, for example, the color display is more red as the number of available parking lots is less. The more the idle parking spaces are, the more the color display is biased to green, so that a driver can clearly know the parking space conditions of nearby parking lots and road sections, and the influence on driving safety caused by too much distraction when the driver obtains parking guidance information is avoided.
Further, in one embodiment, as shown in FIG. 4, the method further includes steps S401-S403.
Step S401, acquiring real-time positioning information of each vehicle. Generally, when a vehicle is parked in a parking space, real-time positioning information is kept unchanged for a period of time. The real-time positioning information of each vehicle can be determined by equipment with a positioning function, such as a vehicle-mounted positioning device.
Step S402, acquiring the positioning information of each parking space and the license plate information of the current parked vehicle. It can be understood that when a parking space is parked with a vehicle, license plate information of the parked vehicle can be recognized by means of video recognition. The positioning information of each parking space can be obtained in advance, and at the moment, the current positioning information of the vehicle bound by the license plate information is the positioning information of the corresponding parking space.
Step S403, determining whether the real-time positioning information of the corresponding vehicle matches the positioning information of the parking space where the vehicle is parked according to the license plate information, and if not, determining that the vehicle is parked abnormally.
In the step, the real-time positioning information sent by the vehicle and the positioning information determined by the parking space can be compared, and if the vehicle is in a normal parking state and the video equipment near the parking space identifies the correct license plate, the positioning information determined by the two modes is almost completely overlapped; if the two kinds of positioning information are greatly different, it can be considered that the vehicle parked in the parking space is abnormal, including but not limited to illegal entry, fake-licensed vehicle, and the like, and at this time, it is determined that the vehicle is abnormally parked, so as to perform subsequent targeted processing.
Further, as shown in fig. 4, the method further includes steps S404-S405 in this embodiment.
In step S404, the parking information of the vehicle determined to be abnormally parked is recorded. The parking information includes a time point of entering the vehicle, the parking time, the license plate number and the like.
And S405, dispatching a patroller to go to a corresponding parking space for patrolling according to the parking information, and performing secondary confirmation on the parking state of the vehicle according to a patrolling result of the patroller.
In order to avoid the problems of false identification and the like, the parking space which is determined to have abnormal vehicles is manually identified and judged, a nearby inspector is enabled to go to the parking space for inspection, secondary confirmation is carried out according to inspection results uploaded by the inspector, and if the parking state of the vehicle is judged to be false in the prior art, the parking state of the vehicle is recovered to be a normally parked vehicle; if the fact that the vehicle is parked abnormally is determined again, the parking information of the vehicle is recorded and tracked continuously at the moment, meanwhile, photographing is carried out to obtain evidence, then corresponding arrearage data is calculated, and parking fee additional payment is completed through various means such as notification additional payment, annual inspection additional payment and court additional payment, so that illegal parking behaviors are regulated effectively.
Further, in one embodiment, the method further comprises the steps of: and issuing and updating the parking space change information of the in-road berths of each parking lot and each road section in the city in real time or at preset time intervals on the map according to the parking space information.
Specifically, the background server can actively release the parking space change information of the in-road berths of each parking lot and each road section to the outside in an APP (application), small program and other modes, so that a driver can plan a driving path, a target parking lot and a road section in advance before starting, and the convenience of driving vehicles in a city by the user is greatly improved.
Example two
The invention provides a smart parking management system 100 based on big data analysis, which is used for orderly managing parking spaces in a city, breaking through the island of the traditional urban parking information resource and getting through the information barrier between each parking space information and a driver so as to realize each function in the method. It should be noted that the implementation principle and the implementation manner of the intelligent parking management system 100 based on big data analysis are consistent with the above intelligent parking management method based on big data analysis, and therefore, the following description is omitted.
As shown in fig. 5, the intelligent parking management system 100 based on big data analysis includes:
the parking space information acquiring module 10 is used for acquiring parking space information of all parking lots and road sections in a city; the parking space information comprises positioning information of each parking space;
a parking state obtaining module 20, configured to obtain a real-time parking state of each parking space; the parking state comprises whether the vehicle is parked or not, license plate information of the parked vehicle, a parking time point and the current parking duration;
the positioning information receiving module 30 is configured to receive real-time positioning information sent by a target vehicle, and acquire parking space information within a preset range according to the real-time positioning information;
the free parking space screening module 40 is configured to screen out all the free parking space information within the preset range according to the parking space information within the preset range and the corresponding real-time parking state;
and the guidance information sending module 50 is configured to generate corresponding parking guidance information according to the free parking space information and send the parking guidance information to the target vehicle.
EXAMPLE III
The invention provides a terminal, which comprises a memory, a processor and a computer program stored in the memory, wherein the computer program realizes each step of the intelligent parking management method based on big data analysis according to any one of the above embodiments when being executed by the processor.
Example four
The present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the intelligent parking management method based on big data analysis according to any one of the above embodiments.
EXAMPLE five
The invention provides a computer program product comprising computer programs or instructions which, when processed and executed, implement the steps of the intelligent parking management method based on big data analysis according to any of the above embodiments.
In summary, according to the intelligent parking management method, system, terminal and medium based on big data analysis provided by the invention, the parking space information in the urban area where the target vehicle is located is obtained, and then the nearby free parking space information is screened out according to the real-time positioning information of the target vehicle and sent to the target vehicle, so that the target vehicle can quickly find the free parking space when the target vehicle needs to park, meanwhile, the hidden parking space can be clearly and obviously known by the driver, the information barrier between the driver and the parking space in the city is opened, the driver can quickly park on an unfamiliar road section, and meanwhile, the utilization rate of each parking space is improved.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described or recited in any embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system or apparatus/terminal device and method can be implemented in other ways. For example, the above-described system or apparatus/terminal device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The invention is not limited solely to that described in the specification and embodiments, and additional advantages and modifications will readily occur to those skilled in the art, so that the invention is not limited to the specific details, representative apparatus, and illustrative examples shown and described herein, without departing from the spirit and scope of the general concept as defined by the appended claims and their equivalents.
Claims (10)
1. An intelligent parking management method based on big data analysis is characterized by comprising the following steps:
acquiring parking space information of all parking lots and road sections in a city; wherein the parking space information comprises positioning information of each parking space;
acquiring a real-time parking state of each parking space; the parking state comprises whether the vehicle is parked or not, license plate information of the parked vehicle, a parking time point and the current parking duration;
receiving real-time positioning information sent by a target vehicle, and acquiring parking space information within a preset range according to the real-time positioning information;
screening out all the idle parking space information in the preset range according to the parking space information in the preset range and the corresponding real-time parking state;
and generating corresponding parking guidance information according to the free parking space information and sending the corresponding parking guidance information to the target vehicle.
2. The intelligent parking management method based on big data analysis as claimed in claim 1, wherein the step of filtering out all the free parking space information in the preset range according to the parking space information in the preset range and the corresponding real-time parking status comprises:
and sequencing according to the number of the idle parking spaces or the distance relative to the target vehicle according to the idle parking space information of each parking lot and each road section in the preset range to generate a corresponding idle parking space list.
3. The intelligent parking management method based on big data analysis as claimed in claim 1, wherein the method further comprises:
acquiring dynamic parking data of each parking lot and each road section in the daytime and at night respectively;
dividing each parking lot and each road section into a first type of berth and a second type of berth according to the dynamic parking data; the number of idle parking spaces in the first class of berths in the daytime period is greater than that in the evening period, and the number of idle parking spaces in the second class of berths in the daytime period is less than that in the evening period;
in the parking guidance information, the first type of berth is preferentially recommended to the target vehicle needing parking in the daytime, and the second type of berth is preferentially recommended to the target vehicle needing parking in the evening.
4. The intelligent parking management method based on big data analysis as claimed in claim 1, wherein the method further comprises:
in the parking guidance information, displaying the position of each parking lot and each road section in a preset range and the corresponding number of idle parking spaces in a map according to the idle parking space information;
performing real-time grade determination on each parking lot and each road section according to a preset classification rule according to the absolute number of the idle parking spaces or the proportion of the number of the idle parking spaces in all parking spaces; wherein, each grade is mapped with different colors one by one;
and displaying corresponding colors for the marks of each parking lot and each road section in a preset range in the map according to the currently determined real-time level.
5. The intelligent parking management method based on big data analysis as claimed in claim 1, wherein the method further comprises:
acquiring real-time positioning information of each vehicle;
acquiring positioning information of each parking space and license plate information of a currently parked vehicle;
and judging whether the real-time positioning information of the corresponding vehicle is matched with the positioning information of the parking space where the corresponding vehicle is parked according to the license plate information, and if the result is negative, judging that the vehicle is abnormally parked.
6. The intelligent parking management method based on big data analysis as claimed in claim 5, further comprising:
recording parking information of the vehicle determined as the abnormal parking;
dispatching a patrolman to visit the corresponding parking space for patrolling according to the parking information, and carrying out secondary confirmation on the parking state of the vehicle according to the patrolman patrolling result.
7. The intelligent parking management method based on big data analysis as claimed in claim 1, wherein the method further comprises:
and issuing and updating the parking space change information of the in-road berths of each parking lot and each road section in the city in real time or at preset time intervals on the map according to the parking space information.
8. The utility model provides an wisdom parking management system based on big data analysis which characterized in that includes:
the parking space information acquisition module is used for acquiring parking space information of all parking lots and road sections in a city; wherein the parking space information comprises positioning information of each parking space;
the parking state acquisition module is used for acquiring the real-time parking state of each parking space; the parking state comprises whether the vehicle is parked or not, license plate information of the parked vehicle, a parking time point and the current parking duration;
the positioning information receiving module is used for receiving real-time positioning information sent by a target vehicle and acquiring parking space information within a preset range according to the real-time positioning information;
the free parking space screening module is used for screening out all free parking space information in the preset range according to the parking space information in the preset range and the corresponding real-time parking state;
and the guidance information sending module is used for generating corresponding parking guidance information according to the free parking space information and sending the parking guidance information to the target vehicle.
9. A terminal, characterized in that the terminal comprises a memory, a processor and a computer program stored in the memory, the computer program, when executed by the processor, implementing the steps of the intelligent parking management method based on big data analysis according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the big data analysis-based intelligent parking management method according to any one of claims 1-7.
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