CN113676522A - Property service information pushing method based on vehicle information - Google Patents
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- H—ELECTRICITY
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Abstract
The invention discloses a property service information pushing method based on vehicle information, and relates to the technical field of big data. The invention comprises the following steps: the parking spaces are divided through the dividing unit, the vehicle information is collected through the information collecting unit and uploaded to the controller, the behavior data corresponding to the private parking spaces are analyzed through the primary dividing unit, scheduling analysis is carried out through the analyzing unit according to the vehicle information and the behavior data, the adjustable parking space group is obtained, and the adjustable parking space group is pushed to the client side through the pushing unit. The real-time parking lot management system carries out data acquisition, analysis and mobilization by combining the property service information pushing system based on the vehicle information, and solves the problems that the existing property management system is poor in timeliness and cannot realize real-time distribution by combining the parking space use condition in real time; the linkage is poor, the rapid linkage of the parking space use data cannot be realized, and the parking space sharing of a temporary car and a private car cannot be realized; the sharing is poor, and the private parking stall is private occupation state, the problem of difficult realization sharing.
Description
Technical Field
The invention belongs to the technical field of big data, and particularly relates to a property service information pushing method based on vehicle information.
Background
With the development of big data, especially the development of network technology and database technology, a great deal of fussy information can be effectively collected, stored and processed, and can be applied to daily business management, thus becoming an effective management tool. For example, the chinese patent CN106503918A provides a property management system based on computer integration, and the parking management subsystem comprehensively considers the owner vehicles and social vehicles in the community, allows the owner to park when the actual number of vacant spaces is sufficient, and allows the social vehicles to park when the number of vacant spaces except the parking space reserved for the owner is sufficient, thereby improving the utilization rate of the site resources.
As chinese patents CN112509193A, CN207677782U, CN108960886A, CN111263126A, etc., and the like, there are many computer-and network-based property management systems on the market, but most of them focus on handling some simple matters, such as membership parking, convenient parking space renting function, etc., and these management systems play a role of safety precaution to some extent, but these measures have the following disadvantages:
(1) the timeliness is poor: real-time allocation cannot be realized in combination with the use condition of the parking spaces in real time;
(2) the linkage is poor: the quick linkage of the parking space use data cannot be realized, and the parking space sharing of a temporary car and a private car cannot be realized;
(3) the sharing performance is poor: the private parking space is in a private occupation state, and sharing is difficult to realize.
Disclosure of Invention
The invention aims to provide a property service information pushing method based on vehicle information, which is used for collecting, analyzing and mobilizing data by combining a property service information pushing system based on the vehicle information, so that the problems that the existing property management system is poor in timeliness and cannot be combined with the use condition of a parking space in real time to realize real-time distribution are solved; the linkage is poor, the rapid linkage of the parking space use data cannot be realized, and the parking space sharing of a temporary car and a private car cannot be realized; the sharing is poor, and the private parking stall is private occupation state, the problem of difficult realization sharing.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a property service information pushing method based on vehicle information, which comprises the following steps:
step S001: divide the parking stall through dividing the unit, divide into: private parking spaces and non-rented parking spaces are managed separately, and information sharing and linkage among the parking spaces are facilitated;
step S002: vehicle information is acquired through an information acquisition unit and uploaded to a controller, and real-time allocation is achieved in real time according to the use condition of the parking places;
step S003: behavior data corresponding to the private parking space are analyzed through the primary division unit, the behavior data comprise a high-frequency use time period, a medium-frequency use time period and a low-frequency use time period, real-time distribution is achieved in real time according to the use condition of the parking space, and quick linkage of the parking space use data is achieved;
step S004: the analysis unit is used for carrying out scheduling analysis according to the vehicle information and the behavior data to obtain a group of adjustable parking spots, so that parking spots of the temporary vehicle and the private vehicle are shared;
step S005: the adjustable parking space group is pushed to the client side through the pushing unit, and sharing is achieved.
Further, the vehicle information comprises private car information, temporary car information and vacancy information;
the private car information comprises license plate information, entrance time information and exit time information of the private car;
the temporary vehicle information comprises the license plate information, the approach time information and the pre-stay time information of the temporary vehicle, the parking space use condition is collected in real time, and the subsequent steps are convenient to process.
Further, in step S003, the method for analyzing the behavior data corresponding to the private parking space by the primary classification unit includes:
step S031: dividing a day into n time intervals, and sequentially marking the time intervals as time intervals j, j being 1, 2, 3, … and n, wherein n is ≧ 6;
step S032: optionally selecting a private parking place i, and acquiring license plate information bound by the private parking place i;
step S033: calling the entry time information and the exit time information of the private car corresponding to the private parking place i in nearly one month from the database;
step S034: acquiring the total times of entering a private car in each time period in a month, and dividing the use time period corresponding to the private parking space i into a use position high frequency band, a use position middle frequency band and a use position low frequency band;
step S035: acquiring each-time entering and corresponding leaving time information of a private car corresponding to a private parking space i in a month close to a high-frequency using frequency band, and acquiring a high-frequency using time period;
acquiring the time information of each entrance and the corresponding exit of a private car corresponding to a private parking space i in a month close to the middle-frequency band of the parking space, and acquiring the middle-frequency use period;
the rest is the low-frequency use time period of the private parking space;
and repeating the steps S032 to S035 until the corresponding behavior data analysis of all private parking spaces is completed.
Further, the step S034 of obtaining the total number of times of entering the private car in each time period in the last month, and the method of dividing the use time period corresponding to the private car position i into a position-using high frequency band, a position-using middle frequency band and a position-using low frequency band includes:
marking the total entering times of the private cars as Cij in each time period in one month;
when Cij ≧ Cc1, marking time interval j as a position utilization high-frequency segment of private parking space i;
when Cc2 ≦ Cij < Cc1, marking the time interval j as a position using intermediate frequency range of the private parking space i;
when Cij < Cc2, marking the time interval j as a position using low-frequency interval of the private parking space i;
wherein Cc1 and Cc2 are preset values.
Further, in step S035, the step of obtaining the high-frequency use time period includes:
calculating the time length of each parking according to the time information of each entrance and the corresponding exit of the private car;
calculating a parking average value marked as Tij according to the time length of each parking;
acquiring the longest m parking times in the parking time lengths, wherein the m parking times are respectively marked as Tik, k is 1, 2, 3, … and m, and m is not less than 3;
calculating the high section parking time delay Rij,
acquiring the earliest time of the entry time of a private car corresponding to a private parking space i, wherein the earliest time plus a high-section parking delay Rij is the parking space end time;
and marking the starting time to the ending time of the bit high frequency band as a high frequency using period.
Further, in step S035, the method of obtaining the time period of the intermediate frequency usage includes the steps of:
calculating the time length of each parking according to the time information of each entrance and the corresponding exit of the private car;
calculating a parking average value marked as Tij according to the time length of each parking;
calculating the mid-section parking delay Zij,
wherein, Tij max is the longest parking time in the parking time;
acquiring the starting time of the using position intermediate frequency band, wherein the starting time of the using position intermediate frequency band plus the middle-section parking redundant time Zij is the using position ending time;
and marking the starting time to the ending time of the used bit middle frequency band as an intermediate frequency using period.
Further, in step S004, the analysis unit performs scheduling analysis according to the vehicle information and the behavior data, and the method for acquiring the adjustable vehicle position group includes:
step S041: acquiring the time of the information acquisition unit acquiring the temporary vehicle information, marking the time as the temporary vehicle entering time, and acquiring the pre-stay time of the temporary vehicle;
step S042: acquiring temporary vehicle entering time and residual vacancy information;
step S043: acquiring behavior data corresponding to the residual vacant positions when the temporary vehicle enters the field;
step S044: marking the un-rented parking spaces in the rest of the vacant spaces as adjustable parking space groups;
step S045: if the number of the non-rented parking spaces in the adjustable parking space group is less than or equal to E1, sequentially extracting the remaining vacant spaces corresponding to the low-frequency use time period and the medium-frequency use time period, and marking the vacant spaces into the adjustable parking space group;
wherein E1 is a preset value.
Further, the step S045 further includes a step of sorting the adjustable shift groups corresponding to the intermediate frequency usage period:
step S0451: acquiring residual vacant positions corresponding to the intermediate frequency using time periods in the adjustable parking space groups, and marking the vacant positions as intermediate frequency parking spaces;
step S0452: acquiring the earliest approach time of a vehicle in a medium-frequency use period corresponding to a medium-frequency parking space in a month, and marking the earliest approach time as the earliest historical parking time;
step S0453: adding the temporary vehicle approach time to the pre-stopping time to obtain the pre-departure time;
step S0454: acquiring the time difference between the historical earliest parking moment and the temporary vehicle driving away moment;
the temporary vehicle is pre-driven to be arranged at the forefront of the adjustable parking spaces which are farthest away from the historical earliest parking time, and the rest adjustable parking spaces are analogized in sequence to form an ordered adjustable parking space group.
Further, if the parking space arranged at the forefront in the adjustable parking space group and the time difference between the preset departure time of the temporary vehicle and the historical earliest parking time is less than or equal to T1, marking the residual vacant space corresponding to the high-frequency use time interval into the adjustable parking space group and arranging the vacant spaces before the parking space between the preset departure time of the temporary vehicle and the historical earliest parking time is less than or equal to T1;
wherein, T1 is a preset value.
Further, the method also comprises a step of sequencing the adjustable parking lot group corresponding to the high-frequency use time period:
step S0411: acquiring residual vacant positions corresponding to high-frequency use time periods in the adjustable parking lot, and marking the vacant positions as high-frequency parking lots;
step S0412: acquiring the earliest approach time of a vehicle in a high-frequency use time period corresponding to a high-frequency parking stall in a month, and marking the earliest approach time as the earliest historical approach time;
step S0413: adding the temporary vehicle approach time to the pre-stopping time to obtain the pre-departure time;
step S0414: acquiring the time difference between the earliest historical approach moment and the moment when the temporary vehicle is driven away in advance;
arranging the adjustable parking spaces, which are farthest away from the historical earliest approach moment, of the temporary vehicle at the forefront, and analogizing the rest of the adjustable parking spaces in sequence to form an ordered adjustable parking space group;
the ordered adjustable parking lot groups are pushed to the client side through the pushing unit, and a user selects a parking lot through the client side;
the client is also used for sending the tune away information to the user of the temporary vehicle when the private parking space is occupied by the temporary vehicle and the private vehicle enters the parking place to be parked.
The invention has the following beneficial effects:
the invention provides a property service information pushing system based on vehicle information, which is used for collecting, analyzing and mobilizing data, and dividing parking spaces by a dividing unit into the following parts: private parking spaces and non-rented parking spaces are managed separately, and information sharing and linkage among the parking spaces are facilitated; vehicle information is acquired through an information acquisition unit and uploaded to a controller, and real-time allocation is achieved in real time according to the use condition of the parking places; behavior data corresponding to the private parking space are analyzed through the primary division unit, the behavior data comprise a high-frequency use time period, a medium-frequency use time period and a low-frequency use time period, real-time distribution is achieved in real time according to the use condition of the parking space, and quick linkage of the parking space use data is achieved; the analysis unit is used for carrying out scheduling analysis according to the vehicle information and the behavior data to obtain a group of adjustable parking spots, so that parking spots of the temporary vehicle and the private vehicle are shared; the adjustable parking space group is pushed to the client side through the pushing unit, and sharing is achieved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a property service information pushing system based on vehicle information 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.
The first embodiment is as follows:
referring to fig. 1, the present invention is a property service information pushing method based on vehicle information, which is implemented by a property service information pushing system based on vehicle information, and the property service information pushing system based on vehicle information includes:
the unit of dividing, it is used for dividing the parking stall, divide into according to the situation of selling of parking stall: private parking spaces and non-rented parking spaces;
the information acquisition unit is used for acquiring vehicle information, uploading the vehicle information to the controller, and realizing real-time allocation by combining the use condition of the parking places in real time; as an embodiment provided by the present invention, preferably, the vehicle information includes private car information, temporary car information, and vacancy information;
the private car information comprises license plate information, entrance time information and exit time information of the private car;
the temporary vehicle information comprises the license plate information, the approach time information and the pre-stay time information of the temporary vehicle, and the parking space use condition is collected in real time, so that the subsequent steps can be conveniently processed;
the primary division unit is used for analyzing behavior data corresponding to the private parking space, the behavior data comprise a high-frequency use time interval, a medium-frequency use time interval and a low-frequency use time interval, real-time distribution is achieved by combining the parking space use condition in real time, and quick linkage of the parking space use data is achieved
The analysis unit is used for carrying out scheduling analysis according to the vehicle information and the behavior data to obtain an adjustable parking space group so as to share the parking spaces of the temporary vehicle and the private vehicle;
and the pushing unit pushes the adjustable parking space group to the client side to realize sharing.
Example two:
a property service information pushing method based on vehicle information comprises the following steps:
step S001: divide the parking stall through dividing the unit, divide into: private parking spaces and non-rented parking spaces are managed separately, and information sharing and linkage among the parking spaces are facilitated;
step S002: the method comprises the steps that vehicle information is collected through an information collection unit and uploaded to a controller, and real-time allocation is achieved in real time according to the use condition of parking spaces, and preferably, the vehicle information comprises private car information, temporary car information and vacancy information;
the private car information comprises license plate information, entrance time information and exit time information of the private car;
the temporary vehicle information comprises the license plate information, the approach time information and the pre-stay time information of the temporary vehicle, and the parking space use condition is collected in real time, so that the subsequent steps can be conveniently processed;
step S003: behavior data corresponding to the private parking space are analyzed through the primary division unit, the behavior data comprise a high-frequency use time period, a medium-frequency use time period and a low-frequency use time period, real-time distribution is achieved in real time according to the use condition of the parking space, and quick linkage of the parking space use data is achieved;
step S004: the analysis unit is used for carrying out scheduling analysis according to the vehicle information and the behavior data to obtain a group of adjustable parking spots, so that parking spots of the temporary vehicle and the private vehicle are shared;
step S005: the adjustable parking space group is pushed to the client side through the pushing unit, and sharing is achieved.
As an embodiment provided by the present invention, preferably, in step S003, the method for analyzing the behavior data corresponding to the private parking space by the primary separation unit includes:
step S031: dividing a day into n time intervals, and sequentially marking the time intervals as time intervals j, j being 1, 2, 3, … and n, wherein n is ≧ 6;
step S032: optionally selecting a private parking place i, and acquiring license plate information bound by the private parking place i;
step S033: calling the entry time information and the exit time information of the private car corresponding to the private parking place i in nearly one month from the database;
step S034: acquiring the total times of entering a private car in each time period in a month, and dividing the use time period corresponding to the private parking space i into a use position high frequency band, a use position middle frequency band and a use position low frequency band;
step S035: acquiring each-time entering and corresponding leaving time information of a private car corresponding to a private parking space i in a month close to a high-frequency using frequency band, and acquiring a high-frequency using time period;
acquiring the time information of each entrance and the corresponding exit of a private car corresponding to a private parking space i in a month close to the middle-frequency band of the parking space, and acquiring the middle-frequency use period;
the rest is the low-frequency use time period of the private parking space;
and repeating the steps S032-S035 until the corresponding behavior data analysis of all private parking spaces is completed, and according to the behavior habits of the user, analyzing the high-frequency use time interval, the medium-frequency use time interval and the low-frequency use time interval of the user by adopting big data, managing in different time intervals, and realizing the maximization of parking space sharing.
As an embodiment provided by the present invention, preferably, in step S034, the method for obtaining the total number of times of entering a private car in each time period in a month, and dividing the use time period corresponding to the private car position i into a high-frequency use position band, a medium-frequency use position band, and a low-frequency use position band includes:
marking the total entering times of the private cars as Cij in each time period in one month;
when Cij ≧ Cc1, marking time interval j as a position utilization high-frequency segment of private parking space i;
when Cc2 ≦ Cij < Cc1, marking the time interval j as a position using intermediate frequency range of the private parking space i;
when Cij < Cc2, marking the time interval j as a position using low-frequency interval of the private parking space i;
wherein Cc1 and Cc2 are preset values.
As an embodiment provided by the present invention, preferably, the step S035 of obtaining the high-frequency using time period, the step of obtaining the time period of each entering and the corresponding leaving of the private car corresponding to the private car space i includes:
calculating the time length of each parking according to the time information of each entrance and the corresponding exit of the private car;
calculating a parking average value marked as Tij according to the time length of each parking;
acquiring the longest m parking times in the parking time lengths, wherein the m parking times are respectively marked as Tik, k is 1, 2, 3, … and m, and m is not less than 3;
calculating the high section parking time delay Rij,
acquiring the earliest time of the entry time of a private car corresponding to a private parking space i, wherein the earliest time plus a high-section parking delay Rij is the parking space end time;
and marking the starting time to the ending time of the bit high frequency band as a high frequency using period.
As an embodiment provided by the present invention, preferably, in step S035, the method for obtaining the time period of the intermediate frequency usage includes:
calculating the time length of each parking according to the time information of each entrance and the corresponding exit of the private car;
calculating a parking average value marked as Tij according to the time length of each parking;
calculating the mid-section parking delay Zij,
wherein, Tij max is the longest parking time in the parking time;
acquiring the starting time of the using position intermediate frequency band, wherein the starting time of the using position intermediate frequency band plus the middle-section parking redundant time Zij is the using position ending time;
and marking the starting time to the ending time of the used bit middle frequency band as an intermediate frequency using period.
As an embodiment provided by the present invention, preferably, in step S004, the method for obtaining the adjustable vehicle location group by performing scheduling analysis by the analysis unit according to the vehicle information and the behavior data is as follows:
step S041: acquiring the time of the information acquisition unit acquiring the temporary vehicle information, marking the time as the temporary vehicle entering time, and acquiring the pre-stay time of the temporary vehicle;
step S042: acquiring temporary vehicle entering time and residual vacancy information;
step S043: acquiring behavior data corresponding to the residual vacant positions when the temporary vehicle enters the field;
step S044: marking the un-rented parking spaces in the rest of the vacant spaces as adjustable parking space groups;
step S045: if the number of the non-rented parking spaces in the adjustable parking space group is less than or equal to E1, sequentially extracting the remaining vacant spaces corresponding to the low-frequency use time period and the medium-frequency use time period, and marking the vacant spaces into the adjustable parking space group;
wherein E1 is a preset value.
As an embodiment provided by the present invention, preferably, the step S045 further includes a step of sorting the adjustable shift groups corresponding to the intermediate frequency usage period:
step S0451: acquiring residual vacant positions corresponding to the intermediate frequency using time periods in the adjustable parking space groups, and marking the vacant positions as intermediate frequency parking spaces;
step S0452: acquiring the earliest approach time of a vehicle in a medium-frequency use period corresponding to a medium-frequency parking space in a month, and marking the earliest approach time as the earliest historical parking time;
step S0453: adding the temporary vehicle approach time to the pre-stopping time to obtain the pre-departure time;
step S0454: acquiring the time difference between the historical earliest parking moment and the temporary vehicle driving away moment;
the temporary vehicle is pre-driven to be arranged at the forefront of the adjustable parking spaces which are farthest away from the historical earliest parking time, and the rest adjustable parking spaces are analogized in sequence to form an ordered adjustable parking space group.
As an embodiment provided by the present invention, preferably, if the parking space arranged at the forefront in the adjustable parking space group and the time difference between the predicted driving time of the temporary vehicle and the historical earliest parking time is less than or equal to T1, the remaining empty space corresponding to the high-frequency usage time period is marked into the adjustable parking space group and is arranged before the parking space between the predicted driving time of the temporary vehicle and the historical earliest parking time is less than or equal to T1;
wherein, T1 is a preset value.
As an embodiment provided by the present invention, preferably, the method further includes a step of sorting the adjustable parking lot groups corresponding to the high-frequency usage time period:
step S0411: acquiring residual vacant positions corresponding to high-frequency use time periods in the adjustable parking lot, and marking the vacant positions as high-frequency parking lots;
step S0412: acquiring the earliest approach time of a vehicle in a high-frequency use time period corresponding to a high-frequency parking stall in a month, and marking the earliest approach time as the earliest historical approach time;
step S0413: adding the temporary vehicle approach time to the pre-stopping time to obtain the pre-departure time;
step S0414: acquiring the time difference between the earliest historical approach moment and the moment when the temporary vehicle is driven away in advance;
arranging the adjustable parking spaces, which are farthest away from the historical earliest approach moment, of the temporary vehicle at the forefront, and analogizing the rest of the adjustable parking spaces in sequence to form an ordered adjustable parking space group;
the ordered adjustable parking lot groups are pushed to the client side through the pushing unit, and a user selects a parking lot through the client side;
the client is also used for sending the tune away information to the user of the temporary vehicle when the private parking space is occupied by the temporary vehicle and the private vehicle enters the parking place to be parked.
The utility model provides a property service information propelling movement method based on vehicle information, combines the property service information propelling movement system based on vehicle information, carries out data acquisition, analysis, moves, divides into the parking stall through dividing the unit: private parking spaces and non-rented parking spaces are managed separately, and information sharing and linkage among the parking spaces are facilitated; vehicle information is acquired through an information acquisition unit and uploaded to a controller, and real-time allocation is achieved in real time according to the use condition of the parking places; behavior data corresponding to the private parking space are analyzed through the primary division unit, the behavior data comprise a high-frequency use time period, a medium-frequency use time period and a low-frequency use time period, real-time distribution is achieved in real time according to the use condition of the parking space, and quick linkage of the parking space use data is achieved; the analysis unit is used for carrying out scheduling analysis according to the vehicle information and the behavior data to obtain a group of adjustable parking spots, so that parking spots of the temporary vehicle and the private vehicle are shared; the adjustable parking space group is pushed to the client side through the pushing unit, and sharing is achieved.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. A property service information pushing method based on vehicle information is characterized by comprising the following steps:
step S001: divide the parking stall through dividing the unit, divide into: private parking spaces and non-rented parking spaces;
step S002: vehicle information is acquired through an information acquisition unit and uploaded to a controller;
step S003: analyzing behavior data corresponding to the private parking space through a primary division unit, wherein the behavior data comprise a high-frequency use time period, a medium-frequency use time period and a low-frequency use time period;
step S004: scheduling analysis is carried out through an analysis unit according to the vehicle information and the behavior data, and an adjustable train location group is obtained;
step S005: the adjustable parking space group is pushed to the client side through the pushing unit.
2. The property service information pushing method based on the vehicle information as claimed in claim 1, wherein the vehicle information includes private car information, temporary car information, vacancy information;
the private car information comprises license plate information, entrance time information and exit time information of the private car;
the temporary vehicle information comprises the license plate information, the entrance time information and the pre-stay time information of the temporary vehicle.
3. The property service information pushing method based on vehicle information as claimed in claim 2, wherein in step S003, the method for analyzing the behavior data corresponding to the private parking space by the primary classification unit includes:
step S031: dividing a day into n time intervals, and sequentially marking the time intervals as time intervals j, j being 1, 2, 3, … and n, wherein n is ≧ 6;
step S032: optionally selecting a private parking place i, and acquiring license plate information bound by the private parking place i;
step S033: calling the entry time information and the exit time information of the private car corresponding to the private parking place i in nearly one month from the database;
step S034: acquiring the total times of entering a private car in each time period in a month, and dividing the use time period corresponding to the private parking space i into a use position high frequency band, a use position middle frequency band and a use position low frequency band;
step S035: acquiring each-time entering and corresponding leaving time information of a private car corresponding to a private parking space i in a month close to a high-frequency using frequency band, and acquiring a high-frequency using time period;
acquiring the time information of each entrance and the corresponding exit of a private car corresponding to a private parking space i in a month close to the middle-frequency band of the parking space, and acquiring the middle-frequency use period;
the rest is the low-frequency use time period of the private parking space;
and repeating the steps S032 to S035 until the corresponding behavior data analysis of all private parking spaces is completed.
4. The property service information pushing method according to claim 3, wherein the step S034 of obtaining the total number of times of entering a private car in each time period in a month is that a method of dividing the use time period corresponding to the private car space i into a space-using high frequency band, a space-using middle frequency band and a space-using low frequency band is as follows:
marking the total entering times of the private cars as Cij in each time period in one month;
when Cij ≧ Cc1, marking time interval j as a position utilization high-frequency segment of private parking space i;
when Cc2 ≦ Cij < Cc1, marking the time interval j as a position using intermediate frequency range of the private parking space i;
when Cij < Cc2, marking the time interval j as a position using low-frequency interval of the private parking space i;
wherein Cc1 and Cc2 are preset values.
5. The property service information pushing method based on the vehicle information as claimed in claim 3, wherein the step S035 acquires the high frequency use period, the step of acquiring the time period of the high frequency use period is that:
calculating the time length of each parking according to the time information of each entrance and the corresponding exit of the private car;
calculating a parking average value marked as Tij according to the time length of each parking;
acquiring the longest m parking times in the parking time lengths, wherein the m parking times are respectively marked as Tik, k is 1, 2, 3, … and m, and m is not less than 3;
calculating the high section parking time delay Rij,
acquiring the earliest time of the entry time of a private car corresponding to a private parking space i, wherein the earliest time plus a high-section parking delay Rij is the parking space end time;
and marking the starting time to the ending time of the bit high frequency band as a high frequency using period.
6. The property service information pushing method based on the vehicle information as claimed in claim 3, wherein the step S035 obtains a use-intermediate frequency band, each time of the entering and the corresponding leaving time information of the private car corresponding to the next month private car space i, and the method for obtaining the intermediate frequency use period comprises:
calculating the time length of each parking according to the time information of each entrance and the corresponding exit of the private car;
calculating a parking average value marked as Tij according to the time length of each parking;
calculating the mid-section parking delay Zij,
wherein, Tij max is the longest parking time in the parking time;
acquiring the starting time of the using position intermediate frequency band, wherein the starting time of the using position intermediate frequency band plus the middle-section parking redundant time Zij is the using position ending time;
and marking the starting time to the ending time of the used bit middle frequency band as an intermediate frequency using period.
7. The property service information pushing method based on vehicle information as claimed in claim 1, wherein the method for obtaining the adjustable vehicle location group through the scheduling analysis performed by the analysis unit according to the vehicle information and the behavior data in step S004 is as follows:
step S041: acquiring the time of the information acquisition unit acquiring the temporary vehicle information, marking the time as the temporary vehicle entering time, and acquiring the pre-stay time of the temporary vehicle;
step S042: acquiring temporary vehicle entering time and residual vacancy information;
step S043: acquiring behavior data corresponding to the residual vacant positions when the temporary vehicle enters the field;
step S044: marking the un-rented parking spaces in the rest of the vacant spaces as adjustable parking space groups;
step S045: if the number of the non-rented parking spaces in the adjustable parking space group is less than or equal to E1, sequentially extracting the remaining vacant spaces corresponding to the low-frequency use time period and the medium-frequency use time period, and marking the vacant spaces into the adjustable parking space group;
wherein E1 is a preset value.
8. The property service information pushing method based on the vehicle information as claimed in claim 7, wherein the step S045 further comprises a step of sorting the adjustable car group corresponding to the intermediate frequency using period:
step S0451: acquiring residual vacant positions corresponding to the intermediate frequency using time periods in the adjustable parking space groups, and marking the vacant positions as intermediate frequency parking spaces;
step S0452: acquiring the earliest approach time of a vehicle in a medium-frequency use period corresponding to a medium-frequency parking space in a month, and marking the earliest approach time as the earliest historical parking time;
step S0453: adding the temporary vehicle approach time to the pre-stopping time to obtain the pre-departure time;
step S0454: acquiring the time difference between the historical earliest parking moment and the temporary vehicle driving away moment;
the temporary vehicle is pre-driven to be arranged at the forefront of the adjustable parking spaces which are farthest away from the historical earliest parking time, and the rest adjustable parking spaces are analogized in sequence to form an ordered adjustable parking space group.
9. The property service information pushing method according to claim 8, wherein if the parking space in the adjustable parking space group is the most front, and the time difference between the predicted departure time of the temporary vehicle and the historical earliest parking time is less than or equal to T1, the remaining empty spaces corresponding to the high-frequency usage time period are marked into the adjustable parking space group and are arranged before the parking space between the predicted departure time of the temporary vehicle and the historical earliest parking time is less than or equal to T1;
wherein, T1 is a preset value.
10. The property service information pushing method based on vehicle information according to claim 9, further comprising a step of sorting the adjustable parking lot groups corresponding to the high-frequency use period:
step S0411: acquiring residual vacant positions corresponding to high-frequency use time periods in the adjustable parking lot, and marking the vacant positions as high-frequency parking lots;
step S0412: acquiring the earliest approach time of a vehicle in a high-frequency use time period corresponding to a high-frequency parking stall in a month, and marking the earliest approach time as the earliest historical approach time;
step S0413: adding the temporary vehicle approach time to the pre-stopping time to obtain the pre-departure time;
step S0414: acquiring the time difference between the earliest historical approach moment and the moment when the temporary vehicle is driven away in advance;
arranging the adjustable parking spaces, which are farthest away from the historical earliest approach moment, of the temporary vehicle at the forefront, and analogizing the rest of the adjustable parking spaces in sequence to form an ordered adjustable parking space group;
the ordered adjustable parking lot groups are pushed to the client side through the pushing unit, and a user selects a parking lot through the client side;
the client is also used for sending the tune away information to the user of the temporary vehicle when the private parking space is occupied by the temporary vehicle and the private vehicle enters the parking place to be parked.
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