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CN107527520A - Wisdom parking cloud platform based on big data - Google Patents

Wisdom parking cloud platform based on big data Download PDF

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Publication number
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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China
Prior art keywords
parking
module
user
data
parking stall
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Granted
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CN201710766328.8A
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Chinese (zh)
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CN107527520B (en
Inventor
李腾
张靖
武春岭
李贺华
喻杰
熊智雍
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Chongqing College of Electronic Engineering
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Chongqing College of Electronic Engineering
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Priority to CN201710766328.8A priority Critical patent/CN107527520B/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/141Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • G08G1/144Traffic 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]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/30Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/32Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02Arrangements 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
    • G07B15/04Arrangements 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
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0129Traffic data processing for creating historical data or processing based on historical data
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0133Traffic data processing for classifying traffic situation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/145Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
    • G08G1/148Management of a network of parking areas

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • 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

Wisdom parking cloud platform based on big data
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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CN116312023A (en) * 2022-12-01 2023-06-23 深圳市神州路路通网络科技有限公司 Guiding parking method, guiding parking device, guiding parking equipment and storage medium
CN117133144A (en) * 2023-07-12 2023-11-28 中交一公局第六工程有限公司 Smart city parking lot parking space prediction method and system based on Internet of things
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