CN107527520A - Wisdom parking cloud platform based on big data - Google Patents
Wisdom parking cloud platform based on big data Download PDFInfo
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- CN107527520A CN107527520A CN201710766328.8A CN201710766328A CN107527520A CN 107527520 A CN107527520 A CN 107527520A CN 201710766328 A CN201710766328 A CN 201710766328A CN 107527520 A CN107527520 A CN 107527520A
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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
- G08G1/144—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces on portable or mobile units, e.g. personal digital assistant [PDA]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
- G06Q20/32—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
- G07B15/04—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems comprising devices to free a barrier, turnstile, or the like
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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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
- G08G1/0133—Traffic data processing for classifying traffic situation
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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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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- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Business, Economics & Management (AREA)
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- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Finance (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The present invention relates to landing technical field, in particular to a kind of wisdom parking cloud platform based on big data.It includes background system and mobile terminal, background system includes data memory module, matching module, evaluation module, following evaluation module and recommending module, parking data information, road data information, user data information are stored with data memory module, mobile terminal is used for gathering the positional information of user, expected parking duration, expected Parking Fee, next destination, final choice and scoring and sends these data to background system, and mobile terminal is also used for receiving the consequently recommended result of display.Wisdom parking cloud platform provided by the invention based on big data, when can solve the problem that user uses existing landing, it is difficult to the problem of selecting optimal parking lot, can be actively that user recommends most suitable parking lot.
Description
Technical field
The present invention relates to landing technical field, is put down in particular to a kind of wisdom parking cloud based on big data
Platform.
Background technology
With the development of science and technology, the raising of the material and cultural life of the people, private car just progress into general public
Family.The existing car ownership in city sharply increases, increasingly prominent in the quantity of crowded urban district parking stall and the contradiction of demand
Go out.The popularization of automobile offers convenience to the trip of people, but the contradiction between the automobile quantity and parking stall deficiency being skyrocketed through
Constantly intensify.Traditional parking lot is not concerned with the real-time status on parking stall and the guiding of inner part of parking lot, and administrative skill is also more
Fall behind, it is impossible to give full play to the parking stall utilization rate in parking lot.
In recent years, with internet+big heat, the fast development in cloud computing direction, various high in the clouds products continue to bring out, give
The life of people is with very big facility.Believe cloud computing to apply will largely solve city in structure intelligent parking lot
The problem of city's parking difficulty.Along with the construction of smart city, wisdom is stopped as the one of smart city each important indicator.
At present, the parking cloud platform in China with parking lot mainly by way of cooperating, by the real-time vacant parking stall in parking lot
Information is presented to user at APP ends, provides the user the functions such as parking stall reservation, parking ground navigation service, Parking Fee clearing.It is existing
Some parking cloud platforms allow user to select suitable parking lot by providing the user parking space information more than real-time empty, although certain
Provided users with the convenient in degree, but can not be actively that user recommends parking lot, user needs oneself inquiry parking lot
Position, route simultaneously estimate parking facility need time, due to exist many factors influence parking process, as distance, the time,
Traffic behavior, Parking Fee etc., present parking cloud platform can not make user select the most suitable parking lot of oneself.
The content of the invention
The invention is intended to provide a kind of wisdom parking cloud platform based on big data, it can solve the problem that user uses existing parking
During platform, it is difficult to the problem of selecting optimal parking lot, can be actively that user recommends most suitable parking lot.
In order to solve the above-mentioned technical problem, this patent provides following basic technology scheme：
Wisdom parking cloud platform based on big data, including：
The background system include data memory module, accounting module, parking stall locking module, matching module, evaluation module,
Following evaluation module and recommending module, parking data information, road data information are stored with the data memory module, is used
User data information and metering data information, parking data information include parking location, parking position numbering, unit price and worked as
Preceding parking space state, road data information include distance, history road condition data and the current road condition data of road, user data information
User's history record comprising each user, user's history record include customer location, the duration that stops, Parking Fee,
Next destination, final choice and parking stall evaluation, metering data packet time started containing parking and parking position numbering,
Parking stall locking module is used for locking parking stall or unblock parking stall, and the accounting module can be according to parking position status modifier charging
Data message, the accounting module can generate expense bill according to metering data information, and can be according to the payment of expense bill
State control parking stall locking module locking or unblock parking stall, the matching module can stop according to the position of active user, expection
Car duration, it is expected Parking Fee and is expected to match similar user during next destination records from all user's histories, described
Can be according to the final choice of similar users and parking stall evaluation generation matching result with module, the evaluation module can
User is calculated to the road and distance in parking lot according to the position of active user and parking location, and working as according to corresponding road
Preceding road condition data, distance and the current parking space state in parking lot generation evaluation result, the following evaluation module can
According to the next destination of the expection of user and parking location, parking lot is calculated to the road and distance of next stop destination, institute
When parking lot can be left according to the history road condition data and expected parking duration calculation user of road by stating following evaluation module, stop
Parking lot reaches the predicting road conditions state of the road between next destination, and the following evaluation module can arrive down according to parking lot
The distance and predicting road conditions state computation of one destination go out following assessment result, the recommending module can according to matching result,
Evaluation result and following assessment result generate consequently recommended result and are sent to mobile terminal；
Mobile terminal, the mobile terminal be used for gathering the positional information of user, expected parking duration, expected Parking Fee, under
One destination, final choice and scoring simultaneously send these data to background system, and the mobile terminal is also aobvious for receiving
Show consequently recommended result, the mobile terminal, which is also used for numbering according to parking position, obtains and pay expense bill；
Intelligent car position, the intelligent car position are arranged on each parking lot, and intelligent car position is numbered provided with unique parking position,
Parking space state detection module is installed, intelligent car position detection module is used for detecting the state of current parking stall and will inspection on intelligent car position
Survey result to upload in the data memory module of background system, the intelligent car position can receive the control of parking stall locking module
Enter locking or released state after signal processed, when the intelligent car position enters lock-out state, the vehicle outside parking stall can be forbidden to sail
Enter in parking stall or forbid the vehicle in parking stall to roll parking stall away from；
Traffic condition detection system, traffic condition detection system are arranged on each crossing, and traffic condition detection system is used for detecting
The stopping state of each bar road simultaneously uploads to testing result in the data memory module of background system.
The present invention working principle and beneficial effect be：
Mobile terminal can obtain the positional information of user, and user inputs expected parking duration, expected parking by mobile terminal
These information and customer position information are sent to background system by information, the mobile terminals such as expense, expected next destination；
The stopping state of each bar road of traffic condition detection system detectio installed in each crossing simultaneously uploads to testing result
In the data memory module of background system, history of forming traffic information and current traffic information；
Matching module is used for going out theoretical recommendation results according to the data analysis of mobile terminal, and matching module is sent according to mobile terminal
Data screening matching is made to the user data information in data memory module, and then obtain the most similar to active user
Some users, the analysis evaluated by the final choice to these similar users and parking stall, obtain matching result；
Evaluation module is used for analyzing current particular state and the recommendation of suitable current state is analyzed according to particular state
As a result, evaluation module passes through to parking position state, user to the distance between parking lot and user to parking lot
Between current road condition data analysis, obtain evaluation result；
Following evaluation module is used for predicting the state in future and is obtained being adapted to pushing away for to-be according to the analysis to to-be
Result is recommended, following evaluation module passes through to parking location, it is contemplated that parking duration, the distance in parking lot and expected next destination
And the analysis of the history road condition of the road between parking lot and expected next destination obtains following assessment result；
The data of recommending module comprehensive matching result, evaluation result and following assessment result can be consequently recommended to generate
As a result；
Mobile terminal can be to show consequently recommended result after receiving to user, and user is mobile whole behind finally selection parking lot
The final choice of user and scoring to final choice are sent to background system by end, and background system is by the related number of this recommendation
It is deposited into according to a user's history record is formed in user data information；
After user drives into intelligent car position, accounting module has vehicle to drive into by parking position state-detection to the parking stall, control
Parking stall locking module locks parking stall, while adds a new metering data information；User finishes thing and picked up the car when leaving, can
Numbered with obtaining parking position by intelligent car position, sent parking position numbering to background system by mobile terminal,
Accounting module is numbered according to parking position obtains parking lot unit price and parking time started, and calculates parking duration and expense,
Expense bill is generated simultaneously, user is by acquisition for mobile terminal and pays expense bill, and accounting module detects that bill payment is complete
Parking stall locking module unblock parking stall is controlled after finishing, user and then can drive to leave.
In technical scheme, recorded by setting matching module to find the user data similar to user, according to
The scoring of other users is that active user recommends parking lot and parking stall, can be quickly found out parking lot and the car of suitable active user
Position；State by evaluation module to user current location to the road conditions between parking lot, distance and parking position
Assessment is made, facilitates user quickly to reach parking lot, reduces the time that user reaches parking lot；Following evaluation module being capable of basis
Road conditions historical data, expected next destination and expected down time, prediction user leave traffic information during parking lot, fully
The factor of to-be is considered, user is avoided the occurrence of and stops end when leaving, from the parking stall of recommendation to next destination
Road be in the situation of blocked state, or the position for the parking stall recommended occur needs to take a roundabout way and can just go next purpose
The situation on ground, reduce the unnecessary trouble of car owner；By user is gone to parking lot and leave parking lot two processes sieve
Choosing, eventually find the parking lot of most suitable active user.
Further, the background system also includes predetermined module, and the mobile terminal is additionally operable to send in advance to background system
Determine information and unlocking information, the predetermined module can control parking stall locking module locking phase according to the predetermined information of mobile terminal
The parking stall answered, the predetermined module can also control parking stall locking module to unlock corresponding car according to the unlocking information of mobile terminal
Position.
User is set to prevent use by mobile terminal to the predetermined parking stall of background system after suitable parking stall is seen
Family reaches parking lot and the occupied situation in parking stall occurs, and after user reaches predetermined parking stall position, can be solved by mobile terminal
Corresponding parking stall is locked, realizes parking.
Further, the maximum allowable 30 minutes predetermined parking stalls in advance of the predetermined module.
Avoid bringing loss to parking lot, reduce the influence stopped to other people.
Further, the intelligent car position includes the crane provided with upper parking stall and parking space, for controlling crane to lift
Control module and hidden for the communication module with the background service system and communication of mobile terminal, the parking space
In underground, the crane can control upper parking stall and parking space to move up and down by raising and lowering, the control module energy
Enough to lock upper parking stall by controlling upper parking stall to be kept above the state of ground, the controller can be by making parking space keep low
Parking space is locked in the state of ground.
Upper parking stall and parking space are set by crane, double-layer parking parking stall can be built, expand parking stall quantity, alleviation stops
Car pressure, when not needed, parking space can be hidden in underground, prevent take up fixed space；Crane can pass through control simultaneously
Upper parking stall and the position of parking space, realize the locking and unblock of parking stall, so with predetermined module, parking stall locking module and charging
Module, which cooperates, realizes the predetermined function with charging charge in parking stall.
Further, the background system also includes car owner's management module, is stored with car owner's in car owner's management module
Personal information, information of vehicles and consumption data, the mobile terminal are additionally operable to car owner's management module inquiry user's oneself
Personal information, information of vehicles and consumption data.
It is easy to user to inquire about the consumer record of oneself.
Further, the intelligent car position detects parking space state by gravity sensor.
Gravity sensor detects parking space state, simple in construction, and accuracy is high.
Brief description of the drawings
Fig. 1 is the logic diagram in wisdom parking cloud platform embodiment of the present invention based on big data.
Embodiment
Below by embodiment, the present invention is further detailed explanation：
Wisdom parking cloud platform of the present embodiment based on big data includes background system, mobile terminal, intelligent car position and traffic shape
State detecting system, wherein：
Background system includes data memory module, accounting module, parking stall locking module, matching module, evaluation module, future
Evaluation module and recommending module, be stored with data memory module parking data information, road data information, number of users it is believed that
Breath and metering data information, parking data information include parking location, parking position numbering, unit price and current parking stall shape
State, road data information include distance, history road condition data and the current road condition data of road, and user data information includes each
The user's history record of individual user, user's history record includes customer location, stop duration, Parking Fee, next destination, most
Selection and parking stall evaluation eventually, metering data packet time started containing parking and parking position numbering；
Parking stall locking module is used for locking parking stall or unblock parking stall；
Accounting module can be believed according to parking position status modifier metering data information, accounting module according to metering data
Generation expense bill is ceased, and the locking of parking stall locking module or unblock parking stall can be controlled according to the pay status of expense bill；
Matching module can be according to the position of active user, expected parking duration, expected Parking Fee and expected next destination
Similar user is matched from all user's histories record, the final choice and parking stall that matching module can be according to similar users
Evaluation generation matching result；
Evaluation module can calculate road and road of the user to parking lot according to the position of active user and parking location
Journey, and evaluation result is generated according to the current road condition data of corresponding road, distance and the current parking space state in parking lot；
Following evaluation module can calculate parking lot to next stop mesh according to the next destination of expection of user and parking location
Ground road and distance, following evaluation module can be according to the history road condition data of road and expected parking duration calculation user
When leaving parking lot, parking lot reaches the predicting road conditions state of the road between next destination, and following evaluation module being capable of root
Go out following assessment result according to the distance and predicting road conditions state computation in parking lot to next destination；
Recommending module can generate consequently recommended result and send according to matching result, evaluation result and following assessment result
To mobile terminal；
Background system also includes predetermined module, and mobile terminal is additionally operable to send predetermined information and unlocking information to background system, in advance
Cover half block can control parking stall locking module to lock corresponding parking stall according to the predetermined information of mobile terminal, and predetermined module can also
Parking stall locking module is controlled to unlock corresponding parking stall according to the unlocking information of mobile terminal；
Mobile terminal, mobile terminal are used for gathering the positional information of user, expected parking duration, expected Parking Fee, next mesh
Ground, final choice and scoring and send these data to background system, mobile terminal also be used for receive display finally push away
Result is recommended, mobile terminal, which is also used for numbering according to parking position, obtains and pay expense bill；
Intelligent car position, intelligent car position are arranged on each parking lot, and intelligent car position is numbered provided with unique parking position, intelligence
Parking space state detection module is installed, intelligent car position detection module is used for detecting the state of current parking stall and ties detection on parking stall
Fruit is uploaded in the data memory module of background system, and intelligent car position can be after the control signal of parking stall locking module be received
Into locking or released state, when intelligent car position enters lock-out state, the vehicle outside parking stall can be forbidden to drive into parking stall or prohibit
Only the vehicle in parking stall rolls parking stall away from, and intelligent car position includes the crane provided with upper parking stall and parking space, for controlling crane
The control module of lifting and it is hidden in ground for the communication module with background service system and communication of mobile terminal, parking space
Under, crane can control upper parking stall and parking space to move up and down by raising and lowering, and control module can be by control
Parking stall is kept above the state of ground to lock upper parking stall, and controller can be by making parking space keep below the state of ground to lock
Parking space, in the present embodiment, intelligent car position detects parking space state by gravity sensor；
Traffic condition detection system, traffic condition detection system are arranged on each crossing, and traffic condition detection system is used for detecting
The stopping state of each bar road simultaneously uploads to testing result in the data memory module of background system.
A kind of parking lot recommendation side for the above-mentioned wisdom parking cloud platform based on big data is also disclosed in the present embodiment
Method, this method comprise the following steps：
Request is sent, mobile terminal sends parking stall recommendation request and request relevant information to background service system；
Generation is recommended, and background service system generates consequently recommended result, and consequently recommended result is sent into mobile terminal；
Feedback result, acquisition for mobile terminal user final choice and the scoring to final choice, and by final choice and to final
The scoring of selection is sent to background system；
Parking stall makes a reservation for, and user passes through the predetermined specified parking stall of mobile terminal.
Wherein, ask the position of relevant information including active user, expected parking duration, expected Parking Fee and it is expected under
One destination, generation recommendation specifically include following steps：
S1：Background server receives request relevant information；
S2：Matching module is according to positional information, expected parking duration, expected Parking Fee, next destination from data storage mould
The people similar to user is matched in block, the scoring according to the final choice of these people and to final choice, generates matching result；
S3：Position of the evaluation module according to user, parking location, path and distance of the user to parking lot are calculated, and
Go out evaluation result according to the current traffic condition of respective paths, with car owner's distance, parking lot state computation；
S4：Following evaluation module is expected the position of next stop destination and parking lot according to user and calculates parking lot to the next stop
The path of destination and distance, following evaluation module judge that user leaves according to road history road condition data, expected parking duration
Parking lot reaches the road congestion state during next destination, and following evaluation module is according to next destination to parking lot
Distance and following blocked state draw following assessment result；
S5：Recommending module can generate consequently recommended result according to matching result, evaluation result, following assessment result.
The S2 steps of generation recommendation step comprise the following steps：
S2-1：Matching module is selected to differ with customer location and preset no more than position according to customer location from data memory module
The user's history record of value；
S2-2：Matching module calculates each user's history selected record and the similarity of active user；
S2-3：Stop corresponding to matching module using the product of the scoring to final choice and user's similarity as the final choice
The prediction in parking lot point, matching module calculate the pre- of the parking lot corresponding to the final choice of each user's history selected record
Survey and divide；
S2-4：Matching module counts the parking lot and prediction corresponding to the final choice in each user's history selected record
Point, obtain parking lot list and each parking lot occurrence number and the prediction point total score in each parking lot；
S2-4：Matching module calculates the consensus forecast point in each parking lot in the list of parking lot；
S2-5：Matching module chooses consensus forecast and divides highest top n parking lot as matching result, and N=5 are taken in the present embodiment.
The similarity that the user in user's history record and active user are calculated in S2-2 has many algorithms, is such as based on cosine
（Cosine-based）Similarity algorithm, based on association（Correlation-based）Similarity algorithm, adjustment cosine
（Adjusted Cosine）Similarity algorithm etc., in the present embodiment, the similar of user is calculated using simplest weighted sum
Degree, i.e.,：Calculate each parameter in user's history record（Position, expected parking duration, expected Parking Fee, expected next mesh
Ground）With the absolute value of the difference of active user, and to being summed after these weighted differences, gone through using resulting value as the user
The Records of the Historian records the similarity with user.
The S3 steps of generation recommendation step comprise the following steps：
S3-1：Evaluation module selects the M parking lot nearest from user distance from data memory module, in the present embodiment
M takes 10；
S3-2：Evaluation module obtains the parking space state in M parking lot, counts the empty parking space quantity in each parking lot；
S3-3：Evaluation module is calculated from user current location to the path in each parking lot and distance；
S3-4：Evaluation module obtains the current road condition data in each path, and for the data between 1 to 10,1 represents road
Unimpeded, 10 represent road very congestion；
S3-5：Evaluation module is estimated to the path of each depot, obtains the estimated time, and the estimated time is to pass through distance
The theoretical time is calculated, and according to current road condition data, is obtained after being modified to gross data, the present embodiment is directly using reason
By the product of practice and current road condition data as the estimated time, estimated time unit is minute；
S3-6；Evaluation module synthesis estimated time and empty parking space quantity, score M parking lot, in the present embodiment
Using reciprocal X times of estimated time and empty parking space quantity and score as parking lot, with the highest top n parking lot work that scores
For evaluation result.In the present embodiment, X=100 are taken.
The S4 steps of generation recommendation step comprise the following steps：
S4-1：Following evaluation module selects the M parking lot nearest from user distance from data memory module；
S4-2：Following evaluation module calculates the path that destination is estimated from each parking lot to user and distance；
S4-3：Following evaluation module estimates parking duration according to user's, calculates the time that user leaves parking lot；
S4-4：Following evaluation module estimates road condition of each path when user leaves, this reality according to history road condition data
Apply the average value in example using every paths in the road condition data of preceding ten days of the period and be used as road conditions discreet value；
S4-5：Following evaluation module is estimated to the path of each parking lot to expected next destination, obtains the estimated time,
Estimated time is to calculate theoretical time by distance, and according to road conditions discreet value, is obtained after being modified to gross data, originally
For embodiment directly using theory practice and the product of road conditions discreet value as the estimated time, estimated time unit is minute；
S4-5：Following evaluation module is used as following assessment result using estimated time most short top n parking lot.
The S5 steps of generation recommendation step comprise the following steps：
S5-1：Time that each parking lot occurs in recommending module statistical match result, evaluation result, following assessment result
Number；
S5-2:Recommending module is used as consequently recommended result using 3 most parking lots of occurrence number.
Parking stall is predetermined to include following steps：
S1：Mobile terminal sends parking stall predetermined instruction to background system；
S2：Background system sends predetermined information according to predetermined instruction to corresponding lifting parking stall；
S3：The control module of lifting parking stall receives predetermined information, controls upper parking stall to exceed ground level or control according to predetermined information
Parking space processed is less than ground level；
S4：User sends unlocking information by mobile terminal to lifting parking stall；
S5：Lift parking stall to be verified to background system according to unlocking information, be proved to be successful, unlock corresponding parking stall, authentication failed is then refused
Unblock absolutely.
Recorded in this implementation by setting matching module to find the user data similar to user, according to commenting for other users
It is divided into active user and recommends parking lot and parking stall, the parking lot and parking stall of suitable active user can be quickly found out；By current
Evaluation module makes assessment to user current location to the state of the road conditions between parking lot, distance and parking position, side
Just user quickly reaches parking lot, reduces the time that user reaches parking lot；Following evaluation module can be according to road conditions history number
Traffic information during parking lot is left, has taken into full account future according to, expected next destination and expected down time, prediction user
The factor of state, avoid the occurrence of user and stop end when leaving, be in from the parking stall of recommendation to the road next destination
The situation of blocked state, or the position for the parking stall recommended occur need to take a roundabout way just go the situation of next destination,
Reduce the unnecessary trouble of car owner, by parking lot is gone to user and leave parking lot two processes screening, finally look for
To the parking lot of most suitable active user.
Upper parking stall and parking space are set by crane, double-layer parking parking stall can be built, expand parking stall quantity, alleviation stops
Car pressure, when not needed, parking space can be hidden in underground, prevent take up fixed space；Crane can pass through control simultaneously
Upper parking stall and the position of parking space, realize the locking and unblock of parking stall, so with predetermined module, parking stall locking module and charging
Module, which cooperates, realizes the predetermined function with charging charge in parking stall.
Above-described is only embodiments of the invention, and the general knowledge such as known concrete structure and characteristic is not made herein in scheme
Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date
Ordinary technical knowledge, prior art all in the field can be known, and with using normal experiment hand before the date
The ability of section, one skilled in the art can improve and implement under the enlightenment that the application provides with reference to self-ability
This programme, some typical known features or known method should not implement the application as one skilled in the art
Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, it can also make
Go out several modifications and improvements, these should also be considered as protection scope of the present invention, these effects implemented all without the influence present invention
Fruit and practical applicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification
The records such as body embodiment can be used for the content for explaining claim.
Claims (6)
1. the wisdom parking cloud platform based on big data, including background system and mobile terminal, it is characterised in that：
The background system include data memory module, accounting module, parking stall locking module, matching module, evaluation module,
Following evaluation module and recommending module, parking data information, road data information are stored with the data memory module, is used
User data information and metering data information, parking data information include parking location, parking position numbering, unit price and worked as
Preceding parking space state, road data information include distance, history road condition data and the current road condition data of road, user data information
User's history record comprising each user, user's history record include customer location, the duration that stops, Parking Fee,
Next destination, final choice and parking stall evaluation, metering data packet time started containing parking and parking position numbering,
Parking stall locking module is used for locking parking stall or unblock parking stall, and the accounting module can be according to parking position status modifier charging
Data message, the accounting module can generate expense bill according to metering data information, and can be according to the payment of expense bill
State control parking stall locking module locking or unblock parking stall, the matching module can stop according to the position of active user, expection
Car duration, it is expected Parking Fee and is expected to match similar user during next destination records from all user's histories, described
Can be according to the final choice of similar users and parking stall evaluation generation matching result with module, the evaluation module can
User is calculated to the road and distance in parking lot according to the position of active user and parking location, and working as according to corresponding road
Preceding road condition data, distance and the current parking space state in parking lot generation evaluation result, the following evaluation module can
According to the next destination of the expection of user and parking location, parking lot is calculated to the road and distance of next stop destination, institute
When parking lot can be left according to the history road condition data and expected parking duration calculation user of road by stating following evaluation module, stop
Parking lot reaches the predicting road conditions state of the road between next destination, and the following evaluation module can arrive down according to parking lot
The distance and predicting road conditions state computation of one destination go out following assessment result, the recommending module can according to matching result,
Evaluation result and following assessment result generate consequently recommended result and are sent to mobile terminal；
The mobile terminal be used for gathering the positional information of user, expected parking duration, expected Parking Fee, next destination,
Final choice and scoring simultaneously send these data to background system, and the mobile terminal is also consequently recommended for receiving display
As a result, the mobile terminal, which is also used for being numbered according to parking position, obtains and pays expense bill；Also include：
Intelligent car position, the intelligent car position are arranged on each parking lot, and intelligent car position is numbered provided with unique parking position,
Parking space state detection module is installed, intelligent car position detection module is used for detecting the state of current parking stall and will inspection on intelligent car position
Survey result to upload in the data memory module of background system, the intelligent car position can receive the control of parking stall locking module
Enter locking or released state after signal processed, when the intelligent car position enters lock-out state, the vehicle outside parking stall can be forbidden to sail
Enter in parking stall or forbid the vehicle in parking stall to roll parking stall away from；
Traffic condition detection system, traffic condition detection system are arranged on each crossing, and traffic condition detection system is used for detecting
The stopping state of each bar road simultaneously uploads to testing result in the data memory module of background system.
2. the wisdom parking cloud platform based on big data as claimed in claim 1, it is characterised in that：The background system also wraps
Predetermined module is included, the mobile terminal is additionally operable to send predetermined information and unlocking information, the predetermined module energy to background system
Enough to control parking stall locking module to lock corresponding parking stall according to the predetermined information of mobile terminal, the predetermined module can also basis
The unlocking information control parking stall locking module of mobile terminal unlocks corresponding parking stall.
3. the wisdom parking cloud platform based on big data as claimed in claim 2, it is characterised in that：The predetermined module is maximum
Allow 30 minutes predetermined parking stalls in advance.
4. the wisdom parking cloud platform based on big data as claimed in claim 3, it is characterised in that：The intelligent car position includes
Crane provided with upper parking stall and parking space, for control crane lift control module and for the background service
The communication module of system and communication of mobile terminal, the parking space are hidden in underground, the crane can by rising and
Decline the upper parking stall of control and parking space moves up and down, the control module can be by controlling upper parking stall to be kept above the state of ground
To lock upper parking stall, the controller can be by making parking space keep below the state of ground to lock parking space.
5. the wisdom parking cloud platform based on big data as claimed in claim 1, it is characterised in that：The background system also wraps
Car owner's management module is included, personal information, information of vehicles and the consumption data of car owner, institute are stored with car owner's management module
State personal information from user oneself to car owner's management module, information of vehicles and consumption data that mobile terminal is additionally operable to inquire about.
6. the parking cloud platform of the wisdom based on big data as described in any one of claim 1 to 5, it is characterised in that：The intelligence
Energy parking stall parking space state is detected by gravity sensor.
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