CN107527520B - Big data-based smart parking cloud platform - Google Patents
Big data-based smart parking cloud platform Download PDFInfo
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- CN107527520B CN107527520B CN201710766328.8A CN201710766328A CN107527520B CN 107527520 B CN107527520 B CN 107527520B CN 201710766328 A CN201710766328 A CN 201710766328A CN 107527520 B CN107527520 B CN 107527520B
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—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
Abstract
The invention relates to the technical field of parking platforms, in particular to a smart parking cloud platform based on big data. The system comprises a background system and a mobile terminal, wherein the background system comprises a data storage module, a matching module, a current evaluation module, a future evaluation module and a recommendation module, parking lot data information, road data information and user data information are stored in the data storage module, the mobile terminal is used for collecting position information, expected parking duration, expected parking cost, a next destination, final selection and grading of a user and sending the data to the background system, and the mobile terminal is also used for receiving and displaying a final recommendation result. The intelligent parking cloud platform based on the big data can solve the problem that the user is difficult to select the best parking lot when using the existing parking platform, and can actively recommend the most suitable parking lot for the user.
Description
Technical Field
The invention relates to the technical field of parking platforms, in particular to a smart parking cloud platform based on big data.
Background
With the development of science and technology and the improvement of the material culture life of people, private cars are gradually entering the families of the general public. The existing automobile keeping quantity in a city is increased sharply, and the contradiction between the quantity of parking spaces and the demand in a crowded urban area is increasingly prominent. The popularization of automobiles brings convenience to people going out, but the contradiction between the rapidly increasing number of automobiles and the shortage of parking spaces is continuously excited. The traditional parking lot does not pay attention to the real-time state of the parking space and the guiding inside the parking lot, the management technology is backward, and the parking space utilization rate of the parking lot cannot be fully exerted.
In recent years, with the great heat of the internet and the rapid development of the cloud computing direction, various cloud products are continuously emerging, and great convenience is brought to the life of people. It is believed that the application of cloud computing to the construction of intelligent parking lots will solve the problem of urban parking difficulties to a large extent. Along with the construction of the smart city, the smart parking becomes an important index of the smart city.
At present, the parking cloud platform in China mainly presents real-time vacant parking space information of a parking lot to a user at an APP (application) end in a mode of cooperating with the parking lot, and provides functions of parking space reservation, parking lot navigation service, parking cost settlement and the like for the user. The existing parking cloud platform enables a user to select a proper parking lot by providing real-time vacant parking space information for the user, though convenience is provided for the user to a certain degree, the user cannot actively recommend the parking lot for the user, the user needs to inquire the position and the route of the parking lot and estimate the time required by the parking lot, and due to the fact that various factors influence the parking process, such as distance, time, traffic state, parking cost and the like, the existing parking cloud platform cannot enable the user to select the most proper parking lot.
Disclosure of Invention
The invention aims to provide a smart parking cloud platform based on big data, which can solve the problem that a user is difficult to select an optimal parking lot when using the existing parking platform and can initiatively recommend the optimal parking lot for the user.
In order to solve the technical problem, the patent provides the following basic technical scheme:
wisdom parking cloud platform based on big data includes:
the background system comprises a data storage module, a charging module, a parking space locking module, a matching module, a current evaluation module, a future evaluation module and a recommendation module, wherein parking lot data information, road data information, user data information and charging data information are stored in the data storage module, the parking lot data information comprises a parking lot position, a parking space number, a unit price and a current parking space state, the road data information comprises road distance, historical road condition data and current road condition data, the user data information comprises a user history record of each user, the user history record comprises a user position, parking duration, parking cost, a next destination, final selection and parking space evaluation, the charging data information comprises parking start time and the parking space number, and the parking space locking module is used for locking or unlocking the parking space, the system comprises a charging module, a matching module, a current evaluation module, a future evaluation module and a storage module, wherein the charging module can modify charging data information according to the parking space state of a parking lot, the charging module can generate a charge bill according to the charging data information and can control a parking space locking module to lock or unlock a parking space according to the payment state of the charge bill, the matching module can match similar users from all user history records according to the position, expected parking time, expected parking cost and an expected next destination of the current user, the matching module can generate a matching result according to the final selection of the similar users and parking space evaluation, the current evaluation module can calculate the road and the distance from the user to the parking lot according to the position of the current user and the position of the parking lot and generate a current evaluation result according to the current road condition data of the corresponding road, the distance and the current parking space state of the parking, the system comprises a future evaluation module, a recommendation module and a mobile terminal, wherein the future evaluation module can calculate the predicted road condition state of a road between a parking lot and a next destination according to historical road condition data and expected parking time of the road when a user leaves the parking lot, the future evaluation module can calculate a future evaluation result according to the distance between the parking lot and the next destination and the predicted road condition state, and the recommendation module can generate a final recommendation result according to a matching result, a current evaluation result and the future evaluation result and send the final recommendation result to the mobile terminal;
the system comprises a mobile terminal, a background system and a parking lot, wherein the mobile terminal is used for collecting position information, expected parking time, expected parking cost, a next destination, final selection and grading of a user and sending the data to the background system, receiving and displaying a final recommendation result, and obtaining and paying a fee bill according to a parking space number of the parking lot;
the intelligent parking spaces are arranged in the parking lots, unique parking lot space numbers are arranged on the intelligent parking spaces, a space state detection module is installed on each intelligent parking space, the intelligent space detection module is used for detecting the state of the current parking space and uploading the detection result to a data storage module of a background system, the intelligent parking spaces can enter a locking or unlocking state after receiving a control signal of a space locking module, and when the intelligent parking spaces enter the locking state, vehicles outside the parking spaces can be forbidden to enter the parking spaces or vehicles inside the parking spaces can be forbidden to exit the parking spaces;
the traffic state detection system is arranged at each intersection and is used for detecting the jam condition of each road and uploading the detection result to the data storage module of the background system.
The working principle and the beneficial effects of the invention are as follows:
the mobile terminal can acquire the position information of the user, the user inputs information such as expected parking duration, expected parking cost and expected next destination through the mobile terminal, and the mobile terminal sends the information and the position information of the user to the background system;
the traffic state detection system arranged at each intersection detects the blocking condition of each road and uploads the detection result to the data storage module of the background system to form historical road condition information and current road condition information;
the matching module is used for analyzing a theoretical recommendation result according to the data of the mobile terminal, screening and matching user data information in the data storage module according to the data sent by the mobile terminal, further obtaining users most similar to the current user, and obtaining a matching result through the analysis of the final selection and parking space evaluation of the similar users;
the current evaluation module is used for analyzing the current specific state and analyzing a recommendation result suitable for the current state according to the specific state, and the current evaluation module obtains the current evaluation result through analyzing the parking space state of the parking lot, the distance from the user to the parking lot and the current road condition data from the user to the parking lot;
the future evaluation module is used for predicting future states and obtaining recommendation results suitable for the future states according to analysis of the future states, and the future evaluation module obtains the future evaluation results through analysis of the positions of the parking lots, the expected parking duration, the distances between the parking lots and the expected next destination and the historical road condition states of roads between the parking lots and the expected next destination;
the recommending module synthesizes the data of the matching result, the current evaluation result and the future evaluation result to generate a final recommending result;
the mobile terminal can display a final recommendation result to the user after receiving the final recommendation result, after the user finally selects the parking lot, the mobile terminal sends the final selection of the user and the score of the final selection to the background system, and the background system forms a user history record of data related to the recommendation and stores the user history record into user data information;
after a user drives into the intelligent parking space, the charging module detects that a vehicle drives into the parking space through the parking space state of the parking lot, controls the parking space locking module to lock the parking space, and simultaneously adds a new piece of charging data information; when the user does things and needs to get the car and leave, the parking lot parking space number can be acquired through the intelligent parking space, the parking lot parking space number is sent to the background system through the mobile terminal, the charging module acquires the unit price of the parking lot and the parking starting time according to the parking lot parking space number, the parking time and the parking cost are calculated, the cost bill is generated simultaneously, the user acquires and pays the cost bill through the mobile terminal, the charging module detects that the parking space locking module unlocks the parking space after the bill payment is finished, and the user can drive the car and leave.
According to the technical scheme, the matching module is arranged to search the user data record similar to the user, and the parking lot and the parking space are recommended to the current user according to the scores of other users, so that the parking lot and the parking space suitable for the current user can be quickly found; the road condition and the distance between the current position of the user and the parking lot and the state of the parking spaces of the parking lot are evaluated through the current evaluation module, so that the user can conveniently and quickly arrive at the parking lot, and the time for the user to arrive at the parking lot is reduced; the future evaluation module can predict road condition information when the user leaves the parking lot according to the historical data of the road condition, the expected next destination and the expected parking time, fully considers the factors of the future state, avoids the condition that the road between the recommended parking space and the next destination is in a blocked state when the user stops leaving after parking, or avoids the condition that the position of the recommended parking space needs to go around a long way to go to the next destination, and reduces unnecessary troubles of the vehicle owner; finally, the parking lot which is most suitable for the current user is found through screening the two processes of the user going to the parking lot and leaving the parking lot.
Furthermore, the background system further comprises a reservation module, the mobile terminal is further used for sending reservation information and unlocking information to the background system, the reservation module can control the parking space locking module to lock a corresponding parking space according to the reservation information of the mobile terminal, and the reservation module can also control the parking space locking module to unlock the corresponding parking space according to the unlocking information of the mobile terminal.
After the user sees a proper parking space, the user can reserve the parking space to a background system through the mobile terminal, the situation that the user arrives at the parking lot and the parking space is occupied is prevented, and after the user arrives at the reserved parking space position, the corresponding parking space can be unlocked through the mobile terminal, so that the user can park.
Further, the reservation module maximally allows for reserving the parking space 30 minutes ahead.
Avoid bringing the loss for the parking area, reduce the influence to other people parks.
Furthermore, the intelligent parking space comprises a lifting frame, a control module and a communication module, wherein the lifting frame is provided with an upper parking space and a lower parking space, the control module is used for controlling the lifting frame to lift, the communication module is used for communicating with the background service system and the mobile terminal, the lower parking space is hidden underground, the lifting frame can control the upper parking space and the lower parking space to move up and down through ascending and descending, the control module can control the upper parking space to be higher than the ground to lock the upper parking space, and the controller can control the lower parking space to be lower than the ground to lock the lower parking space.
The lifting frame is provided with the upper parking space and the lower parking space, so that double-layer parking spaces can be constructed, the number of the parking spaces is expanded, the parking pressure is relieved, and the lower parking space can be hidden underground and does not occupy a fixed space when not needed; meanwhile, the lifting frame can realize the locking and unlocking of the parking space by controlling the positions of the upper parking space and the lower parking space, and further realize the functions of parking space reservation and charging by mutually matching with the reservation module, the parking space locking module and the charging module.
Further, the background system further comprises an owner management module, personal information, vehicle information and consumption data of an owner of the vehicle are stored in the owner management module, and the mobile terminal is further used for inquiring the personal information, the vehicle information and the consumption data of the user from the owner management module.
The user can conveniently inquire the consumption record of the user.
Further, the intelligent parking space detects the parking space state through a gravity sensor.
Gravity sensor detects the parking stall state, simple structure, and the accuracy is high.
Drawings
Fig. 1 is a logic block diagram of an embodiment of a big data-based smart parking cloud platform according to the present invention.
Detailed Description
The present invention will be described in further detail below by way of specific embodiments:
this embodiment wisdom parking cloud platform based on big data includes backstage system, mobile terminal, intelligent parking stall and traffic state detecting system, wherein:
the background system comprises a data storage module, a charging module, a parking space locking module, a matching module, a current evaluation module, a future evaluation module and a recommendation module, wherein parking lot data information, road data information, user data information and charging data information are stored in the data storage module, the parking lot data information comprises a parking lot position, a parking space number, a unit price and a current parking space state, the road data information comprises road distance, historical road condition data and current road condition data, the user data information comprises a user history record of each user, the user history record comprises a user position, parking duration, parking cost, a next destination, final selection and parking space evaluation, and the charging data information comprises parking start time and the parking space number of the parking lot;
the parking space locking module is used for locking or unlocking a parking space;
the charging module can modify the charging data information according to the parking space state of the parking lot, generate a charge bill according to the charging data information, and control the parking space locking module to lock or unlock the parking space according to the payment state of the charge bill;
the matching module can match similar users from all user history records according to the position of the current user, the expected parking duration, the expected parking cost and the expected next destination, and the matching module can generate a matching result according to the final selection of the similar users and the parking space evaluation;
the current evaluation module can calculate the road and the distance from the user to the parking lot according to the position of the current user and the position of the parking lot, and generates a current evaluation result according to the current road condition data and the distance of the corresponding road and the current parking space state of the parking lot;
the future evaluation module can calculate roads and routes from the parking lot to a next destination according to an expected next destination and the position of the parking lot, calculate the predicted road condition state of the roads between the parking lot and the next destination when the user leaves the parking lot according to historical road condition data of the roads and expected parking duration, and calculate a future evaluation result according to the routes from the parking lot to the next destination and the predicted road condition state;
the recommendation module can generate a final recommendation result according to the matching result, the current evaluation result and the future evaluation result and send the final recommendation result to the mobile terminal;
the background system also comprises a reservation module, the mobile terminal is also used for sending reservation information and unlocking information to the background system, the reservation module can control the parking space locking module to lock a corresponding parking space according to the reservation information of the mobile terminal, and the reservation module can also control the parking space locking module to unlock the corresponding parking space according to the unlocking information of the mobile terminal;
the mobile terminal is used for collecting position information, expected parking time, expected parking cost, a next destination, final selection and grading of a user and sending the data to the background system, the mobile terminal is further used for receiving and displaying a final recommendation result, and the mobile terminal is further used for obtaining and paying a cost bill according to the parking space number of the parking lot;
the intelligent parking spaces are arranged in the parking lots, the intelligent parking spaces are provided with unique parking lot space numbers, the intelligent parking spaces are provided with space state detection modules, the intelligent space detection modules are used for detecting the states of the current parking spaces and uploading the detection results to the data storage modules of the background system, the intelligent parking spaces can enter a locking state or an unlocking state after receiving control signals of the space locking modules, when the intelligent parking spaces enter the locking state, vehicles outside the parking spaces can be forbidden to drive into the parking spaces or vehicles inside the parking spaces can be forbidden to drive out of the parking spaces, the intelligent parking spaces comprise lifting frames provided with loading spaces and unloading spaces, control modules used for controlling the lifting frames to lift and a communication module used for communicating with the background service system and the mobile terminal, the unloading spaces are hidden underground, and the lifting frames can control the loading spaces and the unloading spaces to move up and down through lifting and descending, the control module can lock an upper parking space by controlling the upper parking space to be kept higher than the ground, and the controller can lock a lower parking space by keeping the lower parking space lower than the ground;
the traffic state detection system is arranged at each intersection and is used for detecting the jam condition of each road and uploading the detection result to the data storage module of the background system.
The embodiment also discloses a parking lot recommendation method for the intelligent parking cloud platform based on the big data, and the method comprises the following steps:
sending a request, wherein the mobile terminal sends a parking place recommendation request and request related information to a background service system;
generating recommendation, generating a final recommendation result by the background service system, and sending the final recommendation result to the mobile terminal;
feeding back a result, wherein the mobile terminal acquires the final selection of the user and the score of the final selection, and sends the final selection and the score of the final selection to the background system;
and reserving the parking space, and reserving the designated parking space through the mobile terminal by the user.
Wherein the request related information comprises a current user's location, an expected parking duration, an expected parking fee and an expected next destination, and generating the recommendation specifically comprises the steps of:
s1: the background server receives request related information;
s2: the matching module matches people similar to the user from the data storage module according to the position information, the expected parking duration, the expected parking cost and the next destination, and generates a matching result according to the final selection of the people and the grade of the final selection;
s3: the current evaluation module calculates the path and the distance from the user to the parking lot according to the position of the user and the position of the parking lot, and calculates a current evaluation result according to the current traffic state of the corresponding path, the distance from the vehicle owner and the state of the parking lot;
s4: the future evaluation module is used for calculating a path and a distance from a parking lot to a next destination according to a next destination expected by a user and the position of the parking lot, judging a road jam state of the user in the process of leaving the parking lot to reach the next destination according to road historical road condition data and expected parking time, and obtaining a future evaluation result according to the distance from the next destination to the parking lot and the future jam state;
s5: the recommending module can generate a final recommending result according to the matching result, the current evaluating result and the future evaluating result.
The step of S2 of generating a recommendation step includes the steps of:
s2-1: the matching module selects a user history record which has a difference with the user position not more than a preset position value from the data storage module according to the user position;
s2-2: the matching module calculates the similarity between each selected user history record and the current user;
s2-3: the matching module takes the product of the score of the final selection and the similarity of the user as the prediction score of the parking lot corresponding to the final selection, and calculates the prediction score of the parking lot corresponding to the final selection of each selected user history record;
s2-4: the matching module counts the parking lots and the forecast points corresponding to the final selections in each selected user history record to obtain a parking lot list, the occurrence times of each parking lot and the forecast point total points of each parking lot;
s2-4: the matching module calculates the average forecast score of each parking lot in the parking lot list;
s2-5: the matching module selects the first N parking lots with the highest average prediction score as a matching result, and in this embodiment, N =5 is selected.
In S2-2, there are various algorithms for calculating the similarity between the user in the user history record and the current user, such as a Cosine-based similarity calculation method, a Correlation-based similarity calculation method, an Adjusted Cosine (Adjusted Cosine) similarity calculation method, and the like, and in this embodiment, the simplest weighted sum is used to calculate the similarity between the user and the current user, that is: and calculating the absolute value of the difference between each parameter (position, expected parking time, expected parking cost and expected next destination) in the user history record and the current user, weighting the differences, and summing the weighted differences to obtain the value serving as the similarity of the user history record and the user.
The step of S3 of generating a recommendation step includes the steps of:
s3-1: the current evaluation module selects M parking lots closest to the user from the data storage module, wherein M is 10 in the embodiment;
s3-2: the current evaluation module acquires the parking space states of M parking lots and counts the number of empty parking spaces of each parking lot;
s3-3: the current evaluation module calculates the path and the distance from the current position of the user to each parking lot;
s3-4: the current evaluation module acquires current road condition data of each path, wherein the data is between 1 and 10, 1 represents that the road is smooth, and 10 represents that the road is very congested;
s3-5: the current evaluation module carries out prediction on the path of each vehicle factory to obtain predicted time, the predicted time is obtained by calculating theoretical time through the path and correcting the theoretical data according to current road condition data, the product of theoretical practice and the current road condition data is directly adopted as the predicted time, and the unit of the predicted time is minutes;
s3-6; the current evaluation module comprehensively estimates the time and the number of the empty parking spaces, scores the M parking lots, takes the sum of X times of the reciprocal of the estimated time and the number of the empty parking spaces as a parking lot score, and takes the first N parking lots with the highest score as a current evaluation result. In this embodiment, X =100 is taken.
The step of S4 of generating a recommendation step includes the steps of:
s4-1: the future evaluation module selects M parking lots closest to the user from the data storage module;
s4-2: the future evaluation module calculates a path and a distance from each parking lot to a user estimated destination;
s4-3: the future evaluation module calculates the time of the user leaving the parking lot according to the estimated parking time of the user;
s4-4: the future evaluation module estimates the road condition state of each path when the user leaves according to the historical road condition data, and in the embodiment, the average value of the road condition data of each path in the first ten days of the time period is used as a road condition estimated value;
s4-5: the future evaluation module predicts the path from each parking lot to the expected next destination to obtain predicted time, wherein the predicted time is obtained by calculating theoretical time through the path and correcting theoretical data according to road condition predicted values, the product of theoretical practice and the road condition predicted values is directly adopted as the predicted time, and the predicted time unit is minutes;
s4-5: the future evaluation module takes the first N parking lots with the shortest estimated time as future evaluation results.
The step of S5 of generating a recommendation step includes the steps of:
s5-1: the recommending module counts the occurrence times of each parking lot in the matching result, the current evaluation result and the future evaluation result;
and S5-2, taking the 3 parking lots with the largest occurrence number as a final recommendation result by the recommendation module.
The parking space reservation comprises the following steps:
s1: the mobile terminal sends a parking space reservation instruction to the background system;
s2: the background system sends preset information to the corresponding lifting parking spaces according to the preset instructions;
s3: the control module of the lifting parking space receives the preset information and controls the upper parking space to exceed the ground height or controls the lower parking space to be lower than the ground height according to the preset information;
s4: a user sends unlocking information to a lifting parking space through a mobile terminal;
s5: and verifying the lifting parking spaces to a background system according to the unlocking information, unlocking the corresponding parking spaces if the verification is successful, and refusing to unlock if the verification is failed.
In the implementation, a matching module is arranged to search for user data records similar to the user, and a parking lot and a parking space are recommended to the current user according to scores of other users, so that the parking lot and the parking space suitable for the current user can be quickly found; the road condition and the distance between the current position of the user and the parking lot and the state of the parking spaces of the parking lot are evaluated through the current evaluation module, so that the user can conveniently and quickly arrive at the parking lot, and the time for the user to arrive at the parking lot is reduced; the future evaluation module can predict road condition information when a user leaves a parking lot according to historical road condition data, an expected next destination and expected parking time, fully considers the factors of future states, avoids the situation that when the user stops leaving after parking, a road between a recommended parking space and the next destination is in a blocked state, or the situation that the position of the recommended parking space needs to go to the next destination by going around a long way, reduces unnecessary troubles of a vehicle owner, and finally finds the parking lot which is most suitable for the current user by screening the two processes of the user going to the parking lot and leaving the parking lot.
The lifting frame is provided with the upper parking space and the lower parking space, so that double-layer parking spaces can be constructed, the number of the parking spaces is expanded, the parking pressure is relieved, and the lower parking space can be hidden underground and does not occupy a fixed space when not needed; meanwhile, the lifting frame can realize the locking and unlocking of the parking space by controlling the positions of the upper parking space and the lower parking space, and further realize the functions of parking space reservation and charging by mutually matching with the reservation module, the parking space locking module and the charging module.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (2)
1. Wisdom parking cloud platform based on big data, including backstage system and mobile terminal, its characterized in that: the background system comprises a data storage module, a charging module, a parking space locking module, a matching module, a current evaluation module, a future evaluation module and a recommendation module, wherein parking lot data information, road data information, user data information and charging data information are stored in the data storage module, the parking lot data information comprises a parking lot position, a parking space number, a unit price and a current parking space state, the road data information comprises road distance, historical road condition data and current road condition data, the user data information comprises a user history record of each user, the user history record comprises a user position, parking duration, parking cost, a next destination, final selection and parking space evaluation, the charging data information comprises parking start time and the parking space number, and the parking space locking module is used for locking or unlocking the parking space, the system comprises a charging module, a matching module, a current evaluation module and a parking lot locking module, wherein the charging module can modify charging data information according to the parking lot parking space state, the charging module can generate a charge bill according to the charging data information and can control the parking space locking module to lock or unlock a parking space according to the payment state of the charge bill, the matching module can match similar users from all user history records according to the position of a current user, expected parking time, expected parking cost and an expected next destination, the matching module calculates the similarity of the users by adopting a cosine-based similarity algorithm and matches similar users from all user history records according to the similarity of the users, the matching module can generate a matching result according to the final selection of the similar users and parking space evaluation, the current evaluation module can calculate the road and the distance from the user to the parking lot according to the position of the current user and the, the future evaluation module can calculate the predicted road condition state of the road between the parking lot and the next destination when the user leaves the parking lot according to the historical road condition data of the road and the expected parking time, the future evaluation module can calculate the future evaluation result according to the distance between the parking lot and the next destination and the predicted road condition state, and the recommendation module can generate a final recommendation result according to the matching result, the current evaluation result and the future evaluation result and send the final recommendation result to the mobile terminal;
the mobile terminal is used for collecting position information, expected parking time, expected parking cost, a next destination, final selection and grading of a user and sending the data to the background system, the mobile terminal is further used for receiving and displaying a final recommendation result, and the mobile terminal is further used for obtaining and paying a cost bill according to the parking space number of the parking lot;
further comprising: the intelligent parking spaces are arranged in the parking lots, unique parking lot space numbers are arranged on the intelligent parking spaces, a space state detection module is installed on each intelligent parking space, the intelligent space detection module is used for detecting the state of the current parking space and uploading the detection result to a data storage module of a background system, the intelligent parking spaces can enter a locking or unlocking state after receiving a control signal of a space locking module, and when the intelligent parking spaces enter the locking state, vehicles outside the parking spaces can be forbidden to enter the parking spaces or vehicles inside the parking spaces can be forbidden to exit the parking spaces;
the traffic state detection system is arranged at each intersection and is used for detecting the congestion condition of each road and uploading the detection result to the data storage module of the background system;
the background system also comprises a reservation module, the mobile terminal is also used for sending reservation information and unlocking information to the background system, the reservation module can control the parking space locking module to lock a corresponding parking space according to the reservation information of the mobile terminal, and the reservation module can also control the parking space locking module to unlock the corresponding parking space according to the unlocking information of the mobile terminal;
the reservation module is used for reserving a parking space 30 minutes ahead of maximum allowance;
the intelligent parking space comprises a lifting frame provided with an upper parking space and a lower parking space, a control module used for controlling the lifting frame to lift and a communication module used for communicating with the background system and the mobile terminal, wherein the lower parking space is hidden underground, the lifting frame can control the upper parking space and the lower parking space to move up and down through rising and falling, the control module can lock the upper parking space by controlling the upper parking space to be kept higher than the ground, and the controller can lock the lower parking space by keeping the lower parking space lower than the ground;
the background system further comprises an owner management module, personal information, vehicle information and consumption data of an owner of the vehicle are stored in the owner management module, and the mobile terminal is further used for inquiring the personal information, the vehicle information and the consumption data of a user from the owner management module.
2. The big-data-based smart parking cloud platform of claim 1, wherein: the intelligent parking space detects the state of the parking space through the gravity sensor.
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| CN111223322A (en) * | 2020-02-24 | 2020-06-02 | 广东机电职业技术学院 | Automatic parking and picking method and system based on big data and artificial intelligence |
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