CN112201077A - Intelligent parking information processing method and system based on big data - Google Patents
Intelligent parking information processing method and system based on big data Download PDFInfo
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- CN112201077A CN112201077A CN202011043568.3A CN202011043568A CN112201077A CN 112201077 A CN112201077 A CN 112201077A CN 202011043568 A CN202011043568 A CN 202011043568A CN 112201077 A CN112201077 A CN 112201077A
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- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
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- G—PHYSICS
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- 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
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Abstract
The invention discloses a smart parking information processing method and a smart parking information processing system based on big data, which are applied to a big data cloud platform in communication connection with a plurality of mobile terminals, wherein the method comprises the following steps: acquiring a target place which is scheduled to be reached by driving of a user client; searching parking lot information in the preset range of the target place; when a parking lot exists in the search result, acquiring the number information of the vacant spaces of the parking lot; receiving an instruction of selecting one parking lot by the user client, and loading and navigating a route to the nearest parking lot of the parking lot; and adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked in the parking position. The method is based on the cloud platform constructed by the Internet big data, the parking lot information is associated with the requirements of the user, and the defect of asymmetric information between a driver and a parking space is overcome, so that the utilization rate of the parking space is improved, the traffic jam is relieved, and the use experience of the user is improved.
Description
Technical Field
The invention relates to the technical field of internet big data, in particular to an intelligent parking information processing method and system based on big data.
Background
With the rapid increase of the automobile holding capacity of residents, the gaps of urban parking spaces are huge, and the 'difficult parking' is a common urban disease. The shortage of parking spaces becomes a burden for people to drive and go out, and particularly, parking spaces are more difficult to find around more busy places. Most of parking management systems used in the current market only simply display vacant parking spaces, and mainly search the parking spaces by drivers, and during actual use, the existing parking management mode has the following defects: because the parking lot does not provide effectual parking stall guide information, therefore to the car owner who is unfamiliar with the parking stall overall arrangement in the parking lot, often need to spend more time and look for the parking stall, waste a large amount of time and energy of driver, in addition, there are a large amount of vehicles of parking in a certain region in the parking lot, and it has a lot of vacant parking stalls to park in other regions, lead to the in-process that the driver looked for the parking stall in parking lot more region, easily cause hindrance and vehicle scraping, influence the normal traffic in the parking lot, waste the time that the driver looked for the vehicle, be not convenient for carry out rational utilization to the region in the parking lot, need wait to queue when causing the vehicle to park, influence parking efficiency, the time of parking waiting has been increased.
In addition, parking resources are far from being fully utilized in the whole city. For some people who have private car parking spaces, the fixed idle time is also available every day; the system can effectively and fully utilize the resources, not only solves the problem of difficult parking, but also can increase extra income for the users who rent the parking spaces.
Therefore, at present, the number of parking spaces in a city is small, and how to quickly find the parking spaces needs to be solved urgently.
Disclosure of Invention
In view of the above, the invention provides an intelligent parking information processing method and system based on big data, which can solve the problem that parking spaces are difficult to find; the problem of information asymmetry between a driver and a parking space can be solved; therefore, the parking space utilization rate is improved, the manual management cost is reduced, and traffic jam is relieved.
In a first aspect, an embodiment of the present invention provides a smart parking information processing method based on big data, which is applied to a big data cloud platform in communication connection with a plurality of mobile terminals, and the method includes:
acquiring a target place which is scheduled to be reached by driving of a user client;
searching parking lot information in the preset range of the target place;
when a parking lot exists in the search result, acquiring the number information of the vacant spaces of the parking lot;
receiving an instruction of selecting one parking lot by the user client, and loading and navigating a route to the nearest parking lot of the parking lot;
and adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked in the parking position.
In one embodiment, further comprising:
when the target location in the search result does not have a parking lot, pushing a message of renting the parking place on time to the client side of the renting parking place in the preset range; the client side of the taxi position is a user who is registered through the cloud platform and is willing to rent the taxi position on time;
recommending a nearest parking space after receiving information that the client of the taxi parking space feeds back the parking space, and loading a route which navigates to the corresponding parking space of the client of the taxi parking space; the corresponding parking space is latitude and longitude coordinates of the corresponding parking space filled in by the user during registration on the map.
In one embodiment, after receiving the information that the client of the rental space feeds back the parking space, the method further includes:
and receiving a command of selecting one of the taxi spaces fed back by the client of the user, and loading and navigating to a taxi space route corresponding to the client of the taxi space.
In one embodiment, further comprising:
when the GPS positioning of the user client side is obtained to be consistent with the longitude and latitude coordinates of the corresponding rental parking space, and the feedback information of the user client side reaching the rental parking space is received, a payment order is generated and pushed to the user client side;
and receiving payment items of the user client, and extracting part of money according to a preset proportion and sending the part of money to the client of the taxi space.
In one embodiment, further comprising:
receiving evaluation information submitted by the user client; the evaluation information includes: and evaluating text, picture and/or video data of the used rental car space.
In a second aspect, an embodiment of the present invention further provides a system for processing intelligent parking information based on big data, including: the system comprises a plurality of mobile terminals and a big data cloud platform in communication connection with the mobile terminals; wherein the plurality of mobile terminals include: the user client is used for logging in the big data cloud platform by a user to find a parking space;
the parking lot client is used for issuing parking lot information after the big data cloud platform is registered;
the taxi parking space client is used for logging in the big data cloud platform and responding to the requirement for searching the parking space;
the big data cloud platform comprises:
the first acquisition module is used for acquiring a target place which is scheduled to be reached by driving of a user client;
the searching module is used for searching the parking lot information in the preset range of the target place;
the second acquisition module is used for acquiring the number information of the vacant spaces in the parking lot when the parking lot exists in the search result;
the receiving and loading module is used for receiving an instruction of selecting one parking lot from the user client and loading a route navigated to the nearest parking lot of the parking lot;
and the navigation module is used for adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked in the parking position.
In one embodiment, further comprising:
the pushing module is used for pushing a message of a taxi position on time to a taxi position client side in the preset range when the target location in the search result has no parking lot; the client side of the taxi position is a user who is registered through the cloud platform and is willing to rent the taxi position on time;
the system comprises a recommendation loading module, a client side and a server, wherein the recommendation loading module is used for recommending a nearest parking space after receiving information that the client side of the taxi parking space feeds back the parking space, and loading a route which is navigated to the corresponding parking space of the client side of the taxi parking space; the corresponding parking space is latitude and longitude coordinates of the corresponding parking space filled in by the user during registration on the map.
In one embodiment, the recommended loading module is further configured to receive an instruction that the user client selects a rental car space fed back by one of the rental car space clients after receiving information that the rental car space client feeds back a parking space, and load and navigate to a rental car space route corresponding to the rental car space client.
In one embodiment, further comprising:
the payment module is used for generating a payment order and pushing the payment order to the user client when the GPS positioning of the user client is obtained to be consistent with the longitude and latitude coordinates of the corresponding rental parking space and the feedback information of the user client reaching the rental parking space is received;
and the allocation module is used for receiving payment items of the user client, extracting part of money according to a preset proportion and sending the part of money to the client of the taxi space.
In one embodiment, further comprising:
the evaluation module is used for receiving evaluation information submitted by the user client; the evaluation information includes: and evaluating text, picture and/or video data of the used rental car space.
Compared with the prior art, the intelligent parking information processing method based on the big data provided by the embodiment of the invention has the advantages that the problem of information asymmetry between a driver and a parking space can be solved by the cloud platform constructed based on the internet big data; therefore, the parking space utilization rate is improved, the manual management cost is reduced, and traffic jam is relieved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method for processing intelligent parking information based on big data according to an embodiment of the present invention;
fig. 2 is a flowchart of another intelligent parking information processing method based on big data according to an embodiment of the present invention;
FIG. 3 is a block diagram of an intelligent parking information processing system based on big data according to an embodiment of the present invention;
fig. 4 is a block diagram of a big data cloud platform provided in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, an embodiment of the present invention provides a smart parking information processing method based on big data, which is applied to a big data cloud platform in communication connection with a plurality of mobile terminals, and the method includes:
s100, acquiring a target place which is scheduled to be reached by driving of a user client;
s200, searching parking lot information in the preset range of the target place;
s300, when a parking lot exists in the search result, acquiring the number information of vacant spaces in the parking lot;
s400, receiving an instruction of selecting one parking lot from the user client, and loading and navigating a route to the nearest parking lot of the parking lot;
s500, adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked.
In the embodiment, the parking lot information is retrieved aiming at the destination by acquiring the destination to which the user drives, wherein the retrieval range is 300 meters around the destination as a circle center; when a plurality of pieces of parking lot information exist in the searched result, further acquiring all pieces of number information with vacant spaces; then receiving a parking lot selected by a user according to the preference, and recording a route from a navigation map to the nearest parking place of the parking lot; when a user drives and goes to, the optimal route is continuously adjusted, and the jam time is reduced until the user is guided to drive and park. According to the method, data of an island in the parking lot are effectively integrated into the big data cloud platform, a vehicle owner can see parking space information in real time, and the vehicle can quickly guide flow to other parking spaces or nearby parking lots when the parking spaces are short or no parking spaces exist; may help remind the user going to carefully select a mode of transportation; avoid causing time waste because of seeking the parking stall.
The problem that the user is difficult to find the parking space when going out is also solved, the parking lot information and the user's demand are associated, and the defect that the information between a driver and the parking space is asymmetric is overcome, so that the utilization rate of the parking space is improved, the manual management cost is reduced, the traffic capacity of searching the parking space is reduced, the traffic jam is relieved, and the user use experience is improved.
In one embodiment, in order to further fully utilize social resources, the private parking space can be also incorporated into the big data cloud platform; the users of private parking spaces become users who intentionally rent the parking spaces on time through registration;
referring to fig. 2, the method further includes:
s301, when the target location in the search result has no parking lot, pushing a message of renting the parking space on time to the client side of the renting parking space within the preset range; the client side of the taxi position is a user who is registered through the cloud platform and is willing to rent the taxi position on time;
s302, recommending a nearest parking space after receiving information that the client of the taxi parking space feeds back the parking space, and loading a route which navigates to the corresponding parking space of the client of the taxi parking space; the corresponding parking space is latitude and longitude coordinates of the corresponding parking space filled in by the user during registration on the map.
And continuing to execute the step S500 to realize parking in place.
By bringing the private parking spaces into the big data platform and integrating social resources, the online data flow replaces the offline vehicle flow, the parking spaces do not need to be found in a turning way like the prior pocket, the idle parking space query and navigation can be carried out only by opening a mobile phone, and the parking spaces around or near the destination are clear at a glance, so that the parking is convenient, and the traffic jam caused by blind finding of the parking spaces can be reduced; and the user does not need to worry about the penalty ticket for illegal parking.
Further, the step S302 may further include: and after receiving the information that the client side of the taxi spaces feeds back the parking spaces, receiving an instruction that the client side of the user selects the taxi spaces fed back by one client side of the taxi spaces, and loading and navigating to the taxi space route corresponding to the client side of the taxi spaces.
That is to say, when there are many rental spaces, the user may also select the rental space autonomously according to preferences, such as the distance between the rental space and the destination, the size of the rental space, the location of the rental space, historical evaluation of using the rental space, and the like. And after the user selects, generating a corresponding rental order, and loading and navigating to the rental parking space selected by the user.
In one embodiment, as shown with reference to FIG. 2, the method includes the steps of:
s303, when the GPS positioning of the user client is obtained to be consistent with the longitude and latitude coordinates of the corresponding rental parking space and the feedback information of the user client reaching the rental parking space is received, generating a payment order and pushing the payment order to the user client;
s304, receiving payment items of the user client, extracting part of money according to a preset proportion, and sending the money to the taxi space client.
After a user drives a car and parks in a position, whether GPS positioning information of a user client is consistent with longitude and latitude of a corresponding taxi position (provided during registration) is judged, then a payment order can be generated after feedback information of the parked position sent by the user client is received, and the payment amount can be charged according to one-time cost in specified time or hour; the payment mode can adopt the existing payment system. And after receiving the payment, the big data cloud platform can allocate the payment to the client account of the rental car space according to a certain proportion. The calculation of the payment amount, the payment mode and the proportion division are not limited in the embodiment of the disclosure.
Further, as shown in fig. 2, the method further includes:
s305, receiving evaluation information submitted by the user client; the evaluation information includes: and evaluating text, picture and/or video data of the used rental car space.
In the embodiment, the functions of online payment and online evaluation of the client are realized; the use experience of the user is greatly improved; wherein the content of the evaluation is not limited to characters, pictures or videos; the evaluation content can be used for reference of other subsequent users, and the big data platform can also grade the users of the taxi spaces based on the evaluation content; the service quality is better improved by supervising and urging the users of the taxi parking spaces.
Based on the same inventive concept, the embodiment of the invention also provides an intelligent parking information processing system based on big data, and as the principle of the problem solved by the system is similar to the intelligent parking information processing method based on big data, the implementation of the system can refer to the implementation of the method, and repeated details are not repeated.
An embodiment of the present invention further provides an intelligent parking information processing system based on big data, which is shown in fig. 3 and includes: the system comprises a plurality of mobile terminals and a big data cloud platform 4 in communication connection with the mobile terminals; wherein the plurality of mobile terminals include: the user client 1 is used for logging in the big data cloud platform by a user to find a parking space;
the parking lot client 2 is used for issuing parking lot information after the big data cloud platform is registered;
the taxi parking space client 3 is used for logging in the big data cloud platform and responding to the requirement for searching the parking space;
referring to fig. 4, the big data cloud platform 4 includes:
a first obtaining module 41, configured to obtain a target location that a user client intends to reach when driving;
the searching module 42 is configured to search for the parking lot information within the preset range of the target location;
a second obtaining module 43, configured to obtain information that a parking lot has a number of available spaces when the parking lot exists in the search result;
a receiving and loading module 44, configured to receive an instruction that the user client selects one of the parking lots, and load a route navigated to a closest parking space in the parking lot;
and the navigation module 45 is used for adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked in the parking position.
In one embodiment, further comprising:
the pushing module 51 is configured to, when the target location in the search result does not have a parking lot, push a message of a taxi slot on time to a taxi slot client within the preset range; the client side of the taxi position is a user who is registered through the cloud platform and is willing to rent the taxi position on time;
the recommendation loading module 52 is configured to recommend a nearest parking space after receiving information that a parking space is fed back by a client of a rental parking space, and load a route navigated to the parking space corresponding to the client of the rental parking space; the corresponding parking space is latitude and longitude coordinates of the corresponding parking space filled in by the user during registration on the map.
In an embodiment, the recommended loading module 52 is further configured to receive, after receiving information that the client of the rental car has fed back the parking space, an instruction that the client of the user selects the rental car space fed back by one of the clients of the rental car, and load and navigate to the route of the rental car space corresponding to the client of the rental car space.
In one embodiment, further comprising:
the payment module 53 is configured to generate a payment order and push the payment order to the user client when the GPS location of the user client is obtained to be consistent with the longitude and latitude coordinates of the corresponding rental car space and when feedback information that the user client arrives at the rental car space is received;
and the allocation module 54 is configured to receive payment terms of the user client, extract a part of money according to a preset proportion, and send the part of money to the taxi space client.
In one embodiment, further comprising:
an evaluation module 55, configured to receive evaluation information submitted by the user client; the evaluation information includes: and evaluating text, picture and/or video data of the used rental car space.
The mobile client can access or log in the big data cloud platform in the form of APP, WeChat public numbers or WeChat small programs.
The intelligent parking information processing system based on the big data provided by the embodiment of the invention breaks the asymmetric barrier between a parking lot and a driver by relying on advanced means such as an internet big data technology, a wireless communication technology, a computer network technology and the like and combining a big data cloud platform, and brings the asymmetrical barrier into a private parking space of a third party in the society, so that urban idle resources are fully utilized, and the utilization rate of the parking space is improved; the user can provide multiple convenient means such as parking stall searching, reservation, online payment for the car owner through multiple ways such as cell-phone APP/little letter public number/applet, promotes user's use and experiences.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and are not limited. Although the present invention has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. The intelligent parking information processing method based on big data is applied to a big data cloud platform in communication connection with a plurality of mobile terminals, and comprises the following steps:
acquiring a target place which is scheduled to be reached by driving of a user client;
searching parking lot information in the preset range of the target place;
when a parking lot exists in the search result, acquiring the number information of the vacant spaces of the parking lot;
receiving an instruction of selecting one parking lot by the user client, and loading and navigating a route to the nearest parking lot of the parking lot;
and adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked in the parking position.
2. The intelligent parking information processing method based on big data according to claim 1, further comprising:
when the target location in the search result does not have a parking lot, pushing a message of renting the parking place on time to the client side of the renting parking place in the preset range; the client side of the taxi position is a user who is registered through the cloud platform and is willing to rent the taxi position on time;
recommending a nearest parking space after receiving information that the client of the taxi parking space feeds back the parking space, and loading a route which navigates to the corresponding parking space of the client of the taxi parking space; the corresponding parking space is latitude and longitude coordinates of the corresponding parking space filled in by the user during registration on the map.
3. The intelligent parking information processing method based on big data as claimed in claim 2, further comprising, after receiving information that the parking space is fed back by the client of the rental space:
and receiving a command of selecting one of the taxi spaces fed back by the client of the user, and loading and navigating to a taxi space route corresponding to the client of the taxi space.
4. The intelligent parking information processing method based on big data according to claim 2 or 3, further comprising:
when the GPS positioning of the user client side is obtained to be consistent with the longitude and latitude coordinates of the corresponding rental parking space, and the feedback information of the user client side reaching the rental parking space is received, a payment order is generated and pushed to the user client side;
and receiving payment items of the user client, and extracting part of money according to a preset proportion and sending the part of money to the client of the taxi space.
5. The intelligent parking information processing method based on big data according to claim 4, further comprising:
receiving evaluation information submitted by the user client; the evaluation information includes: and evaluating text, picture and/or video data of the used rental car space.
6. An intelligent parking information processing system based on big data is characterized by comprising: the system comprises a plurality of mobile terminals and a big data cloud platform in communication connection with the mobile terminals; wherein the plurality of mobile terminals include: the user client is used for logging in the big data cloud platform by a user to find a parking space;
the parking lot client is used for issuing parking lot information after the big data cloud platform is registered;
the taxi parking space client is used for logging in the big data cloud platform and responding to the requirement for searching the parking space;
the big data cloud platform comprises:
the first acquisition module is used for acquiring a target place which is scheduled to be reached by driving of a user client;
the searching module is used for searching the parking lot information in the preset range of the target place;
the second acquisition module is used for acquiring the number information of the vacant spaces in the parking lot when the parking lot exists in the search result;
the receiving and loading module is used for receiving an instruction of selecting one parking lot from the user client and loading a route navigated to the nearest parking lot of the parking lot;
and the navigation module is used for adjusting the optimal route in real time according to the driving route of the self vehicle corresponding to the user client side until the self vehicle is parked in the parking position.
7. The intelligent big-data-based parking information processing system according to claim 6, further comprising:
the pushing module is used for pushing a message of a taxi position on time to a taxi position client side in the preset range when the target location in the search result has no parking lot; the client side of the taxi position is a user who is registered through the cloud platform and is willing to rent the taxi position on time;
the system comprises a recommendation loading module, a client side and a server, wherein the recommendation loading module is used for recommending a nearest parking space after receiving information that the client side of the taxi parking space feeds back the parking space, and loading a route which is navigated to the corresponding parking space of the client side of the taxi parking space; the corresponding parking space is latitude and longitude coordinates of the corresponding parking space filled in by the user during registration on the map.
8. The intelligent parking information processing system based on big data as claimed in claim 7, wherein the recommended loading module is further configured to receive an instruction that the user client selects a taxi slot fed back by one of the taxi slot clients after receiving information that the taxi slot is fed back by the taxi slot client, and load and navigate to a taxi slot route corresponding to the taxi slot client.
9. The intelligent parking information processing system based on big data according to claim 7 or 8, further comprising:
the payment module is used for generating a payment order and pushing the payment order to the user client when the GPS positioning of the user client is obtained to be consistent with the longitude and latitude coordinates of the corresponding rental parking space and the feedback information of the user client reaching the rental parking space is received;
and the allocation module is used for receiving payment items of the user client, extracting part of money according to a preset proportion and sending the part of money to the client of the taxi space.
10. The intelligent big-data-based parking information processing system according to claim 9, further comprising:
the evaluation module is used for receiving evaluation information submitted by the user client; the evaluation information includes: and evaluating text, picture and/or video data of the used rental car space.
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| CN110379198A (en) * | 2019-07-31 | 2019-10-25 | 南京晓庄学院 | A kind of city intelligent stopping guide system and its parking guide method |
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| CN115116264A (en) * | 2022-06-22 | 2022-09-27 | 四川智胜慧旅科技有限公司 | Scenic spot traffic comprehensive control method |
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