CN112581789A - Visual parking space information acquisition method and device - Google Patents
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- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
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Abstract
The invention provides a visual parking space information acquisition method and device, and relates to the technical field of data processing. The method comprises the following steps: acquiring scale parameters of a target parking lot and parking space parameters of all parking spaces; the parking space parameters comprise the states of parking spaces; and generating a visual model according to the scale parameters and the parking space parameters. The parking spaces in the visual model are represented by different colors, so that a user can visually know the actual conditions of the parking spaces through the visual model; acquiring a parking space selection instruction input by a user, and determining a target parking space included in the parking space selection instruction; searching a target parking space in the visual model; and acquiring all information of the target parking space, and marking all the information of the target parking space in the visual model. The parking space information can be accurately acquired by the user, and the parking space information can be checked in a visual mode, so that the convenience of information checking is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a visual parking space information acquisition method and device.
Background
With the development and progress of science and technology and economy, more and more people own private vehicles, and the parking of the private vehicles requires additional parking places for car owners to buy or rent. At present, when a general car owner buys or rents a parking space, a salesperson needs to consult the parking space which can be sold or rented by the salesperson, and the salesperson goes to the field to check different parking spaces, so that the time and the energy are wasted. Meanwhile, the user can not accurately judge whether the vehicle can be put down or not by checking the parking space with naked eyes.
Disclosure of Invention
The invention aims to provide a visual parking space information acquisition method and device, which are used for solving the problem that parking space information cannot be accurately acquired in the prior art.
In a first aspect, an embodiment of the present application provides a visual parking space information obtaining method, where the method includes:
acquiring scale parameters of a target parking lot and parking space parameters of all parking spaces; the parking space parameters comprise the states of parking spaces;
generating a visual model according to the scale parameters and the parking space parameters; wherein, all parking spaces in the visual model adopt different colors to represent the states;
acquiring a parking space selection instruction input by a user, and determining a target parking space included in the parking space selection instruction;
searching a target parking space in the visual model;
and acquiring all information of the target parking space, and marking all the information of the target parking space in the visual model.
In the implementation process, after the scale parameters of the target parking lot and the parking space parameters of all parking spaces are obtained, the visual model is generated, and a user can visually know the actual conditions of the parking spaces through the visual model. And then, a parking space selection instruction input by a user is acquired, a target parking space is found in the visual model, simultaneously, all information of the target parking space is acquired, and the information is marked in the visual model, so that the user can accurately acquire parking space information and visually check the information, and the convenience of information checking is improved.
In some embodiments of the present invention, after the step of generating the visual model according to the scale parameter and the parking space parameter, the method further includes:
acquiring vehicle type parameters of a vehicle input by a user;
determining a plurality of parking places to be selected according to the vehicle type parameters and the parking place parameters;
generating a vehicle model according to the vehicle type parameters, and placing the vehicle model in each parking space to be selected in the visual model; the vehicle model comprises a vehicle door fully-opened state and a vehicle door fully-closed state.
In some embodiments of the present invention, after the step of generating the visual model according to the scale parameter and the parking space parameter, the method further includes:
acquiring vehicle type parameters of a vehicle input by a user;
determining a plurality of parking places to be selected according to the vehicle type parameters and the parking place parameters;
determining the route of each parking space to be selected for entering and exiting the target parking lot according to the visual model;
and calculating the time length of the vehicle entering and exiting the target parking lot according to the route.
In some embodiments of the invention, the method further comprises:
acquiring all parking spaces in a target parking lot in a renting state;
acquiring the rent and the due date of the parking space in the renting state;
if the difference between the current date and the due date is smaller than a preset threshold, generating payment reminding information for reminding the user of paying;
and if the current date is larger than the expiration date, generating payment reminding information for reminding the user of paying and charging reminding information for reminding the property party of charging.
In a second aspect, an embodiment of the present application provides a visual parking stall information acquisition device, and the device includes:
the modeling parameter acquisition module is used for acquiring the scale parameters of the target parking lot and the parking space parameters of all parking spaces; the parking space parameters comprise the states of parking spaces;
the model generation module is used for generating a visual model according to the scale parameters and the parking space parameters; wherein, all parking spaces in the visual model adopt different colors to represent the states;
the system comprises a selection instruction acquisition module, a parking space selection module and a parking space selection module, wherein the selection instruction acquisition module is used for acquiring a parking space selection instruction input by a user and determining a target parking space included in the parking space selection instruction;
the target parking space determining module is used for searching a target parking space in the visual model;
and the parking space information acquisition and marking module is used for acquiring all information of the target parking space and marking all the information of the target parking space in the visual model.
In some embodiments of the invention, the apparatus further comprises:
the first vehicle type parameter acquisition module is used for acquiring vehicle type parameters of a vehicle input by a user;
the first parking place determining module is used for determining a plurality of parking places to be selected according to the vehicle type parameters and the parking place parameters;
the visual display module is used for generating a vehicle model according to the vehicle type parameters and placing the vehicle model in each parking place to be selected in the visual model; the vehicle model comprises a vehicle door fully-opened state and a vehicle door fully-closed state.
In some embodiments of the invention, the apparatus further comprises:
the second vehicle type parameter acquisition module is used for acquiring vehicle type parameters of the vehicle input by a user;
the second candidate parking space determining module is used for determining a plurality of candidate parking spaces according to the vehicle type parameters and the parking space parameters;
the route determining module is used for determining the route of each parking space to be selected for entering and exiting the target parking lot according to the visual model;
and the time length calculating module is used for calculating the time length of the vehicle entering and exiting the target parking lot according to the route.
In some embodiments of the invention, the apparatus further comprises:
the system comprises a renting parking space acquisition module, a parking space management module and a parking space management module, wherein the renting parking space acquisition module is used for acquiring all parking spaces in a renting state in a target parking lot;
the system comprises a renting information acquisition module, a parking information processing module and a parking information processing module, wherein the renting information acquisition module is used for acquiring rent and expiration date of a parking space in a renting state;
the payment reminding module is used for generating payment reminding information for reminding the user of paying if the difference between the current date and the due date is smaller than a preset threshold;
and the overdue reminding module is used for generating payment reminding information for reminding the user of paying and charge reminding information for reminding the property party of charging if the current date is greater than the expiration date.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a visualized parking space information obtaining method according to an embodiment of the present invention;
fig. 2 is a block diagram of a structure of a visual parking space information acquiring device according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-a visual parking space information acquisition device; 110-a modeling parameter acquisition module; 120-a model generation module; 130-select instruction acquisition module; 140-target parking space determination module; 150-a parking space information acquisition and marking module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "disposed" and "connected" are to be interpreted broadly, e.g., as being either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a flowchart of a visualized parking space information obtaining method according to an embodiment of the present invention. The visualized parking space information acquisition method comprises the following steps:
step S110: acquiring scale parameters of a target parking lot and parking space parameters of all parking spaces; wherein, the parking space parameter includes the state of parking space.
The target parking lot is a parking lot for which the user needs to purchase or lease a parking space, wherein the target parking lot can be a parking lot in a residential area where the user lives or a parking lot near an office area where the user works.
The scale parameter of the target parking lot may include a size parameter of the entire target parking lot, a position of a fixed object existing in the target parking lot, and the like, wherein the fixed object may be a bearing wall, a wall, and the like. The parking space parameters comprise the size of the parking space, the position of the parking space in the target parking lot and the state of the parking space, wherein the state of the parking space can comprise a to-be-sold state, a to-be-rented state, a rented state and a sold state. The parking space parameters can be counted by related property workers and stored or updated in a database, and can also be acquired according to drawings of developers.
Step S120: generating a visual model according to the scale parameters and the parking space parameters; wherein, all parking stalls in the visual model adopt different colours to represent their states.
When the visual model is generated according to the scale parameter and the parking space parameter of the target parking lot, the three-dimensional visual model can be generated according to the size parameter and the size and the position of the parking space of the parking lot, and the planar visual model can also be generated, so that a user can conveniently check the parking space in the target parking lot. Meanwhile, different colors are adopted in the visual model to represent the state of the parking space, for example, dark red is adopted to represent the rented state, light red is adopted to represent the to-be-rented state, black is adopted to represent the sold state, and white is adopted to represent the to-be-sold state.
Step S130: and acquiring a parking space selection instruction input by a user, and determining a target parking space included in the parking space selection instruction.
Step S140: and searching a target parking space in the visual model.
Step S150: and acquiring all information of the target parking space, and marking all the information of the target parking space in the visual model.
The user can input a parking space selection instruction comprising a target parking space, then the target parking space is searched in the visual model according to the parking space selection instruction input by the user, after the target parking space is searched, all information of the target parking space is acquired and marked in the visual model, and the user can directly and visually check the target parking space in the visual model conveniently.
In some embodiments of the present invention, after the step of generating the visual model according to the scale parameter and the parking space parameter, the parking space information may be obtained more generally by the following method. Firstly, vehicle type parameters of a vehicle input by a user are obtained, a plurality of parking spaces to be selected are determined according to the vehicle type parameters and the parking space parameters, a vehicle model is generated according to the vehicle type parameters, and the vehicle model is placed in each parking space to be selected in a visual model, wherein the vehicle model comprises a vehicle door fully-open state and a vehicle door fully-closed state.
After the user inputs the vehicle type parameters of the user, the parking place to be selected can be determined according to the vehicle type parameters and the parking place parameters. For example, if there are three parking spaces, the parking space parameter is the size of the parking space, and the size parameter of the first parking space includes a length of 3.20 meters, a width of 1.60 meters, and a height of 1.80 meters; the size parameters of the second parking space comprise that the length is 5.00 meters, the width is 2.00 meters, and the height is 2.00 meters; the size parameters of the third parking space comprise that the length is 8.70 meters, the width is 2.50 meters, and the height is 2.00 meters. And the vehicle type parameters input by the user comprise the size parameters of the vehicle, the length is 4.3 meters, the width is 1.8 meters, and the height is 1.4 meters, so that the second parking space and the third parking space can be determined as parking spaces to be selected according to the vehicle type parameters and the parking space parameters. In addition, the vehicle type parameters can also comprise the type of the vehicle, then a vehicle model which is the same as the vehicle of the user can be generated according to the vehicle type parameters, and the vehicle model is placed in the visual model, so that the simulation process that the vehicle stops in the parking space to be selected is realized. Therefore, the user can acquire the parking space information more intuitively and accurately.
In some embodiments of the present invention, after the step of generating the visual model according to the scale parameter and the parking space parameter, the method further includes the following process. Firstly, acquiring vehicle type parameters of a vehicle input by a user; and finally, calculating the time length for the vehicle to enter and exit the target parking lot according to the route so as to facilitate the user to select according to the time length.
For example, if three parking spaces to be selected are determined according to the vehicle type parameters and the parking space parameters of the vehicle input by the user, the total length of the route from the first parking space to the entrance and the exit of the target parking lot is 50 meters, and the total length of the route from the second parking space to the entrance and the exit of the target parking lot is 20 meters; the total length of the route from the third parking space to the entrance and the exit of the target parking lot is 15 meters. And then, the time length of the vehicle entering and exiting the target parking lot at each parking space to be selected can be calculated according to the starting speed of the vehicle and the average speed of the vehicle running in the parking lot. If the calculated time length of the route corresponding to the first parking space is 40 seconds, the calculated time length of the route corresponding to the second parking space is 16 seconds, and the calculated time length of the route corresponding to the third parking space is 12.5 seconds, the user can accurately acquire parking space information according to the time length.
In some embodiments of the invention, the method further comprises: acquiring all parking spaces in a target parking lot in a renting state; acquiring the rent and the due date of the parking space in the renting state; if the difference between the current date and the due date is smaller than a preset threshold, generating payment reminding information for reminding the user of paying; and if the current date is larger than the expiration date, generating payment reminding information for reminding the user of paying and charging reminding information for reminding the property party of charging.
Specifically, after all parking spaces in the renting state are acquired, the rent of the parking spaces in the renting state is acquired to be 200 yuan per month, and the expiration date is 2019, 10 months and 10 days. If the current date is 2019, 10, 5 and the preset threshold value is 7, the difference between the current date and the due date is 5, and the difference is smaller than the preset threshold value, payment reminding information for reminding the user of paying is generated so as to remind the user of paying the rent in time. If the current date is 2019, 10, 15 and the current date is greater than the expiration date, payment reminding information for reminding the user of paying and charging reminding information for reminding the property side of charging are generated, the property side is reminded to intervene in charging in time while the user is reminded of paying the rent, and the situation that the user forgets to pay or finds other situations in time is avoided.
Based on the same inventive concept, the present invention further provides a visual parking space information obtaining apparatus 100, please refer to fig. 2, and fig. 2 is a block diagram of a structure of the visual parking space information obtaining apparatus according to an embodiment of the present invention. This visual parking stall information acquisition device 100 includes:
the modeling parameter acquiring module 110 is configured to acquire a scale parameter of the target parking lot and parking space parameters of all parking spaces therein; the parking space parameters comprise the states of parking spaces;
the model generation module 120 is used for generating a visual model according to the scale parameter and the parking space parameter; wherein, all parking spaces in the visual model adopt different colors to represent the states;
a selection instruction obtaining module 130, configured to obtain a parking space selection instruction input by a user, and determine a target parking space included in the parking space selection instruction;
the target parking space determining module 140 is configured to search a target parking space in the visualization model;
and the parking space information acquiring and labeling module 150 is configured to acquire all information of the target parking space and label all the information of the target parking space in the visual model.
In some embodiments of the invention, the apparatus further comprises:
the first vehicle type parameter acquisition module is used for acquiring vehicle type parameters of a vehicle input by a user;
the first parking place determining module is used for determining a plurality of parking places to be selected according to the vehicle type parameters and the parking place parameters;
the visual display module is used for generating a vehicle model according to the vehicle type parameters and placing the vehicle model in each parking place to be selected in the visual model; the vehicle model comprises a vehicle door fully-opened state and a vehicle door fully-closed state.
In some embodiments of the invention, the apparatus further comprises:
the second vehicle type parameter acquisition module is used for acquiring vehicle type parameters of the vehicle input by a user;
the second candidate parking space determining module is used for determining a plurality of candidate parking spaces according to the vehicle type parameters and the parking space parameters;
the route determining module is used for determining the route of each parking space to be selected for entering and exiting the target parking lot according to the visual model;
and the time length calculating module is used for calculating the time length of the vehicle entering and exiting the target parking lot according to the route.
In some embodiments of the invention, the apparatus further comprises:
the system comprises a renting parking space acquisition module, a parking space management module and a parking space management module, wherein the renting parking space acquisition module is used for acquiring all parking spaces in a renting state in a target parking lot;
the system comprises a renting information acquisition module, a parking information processing module and a parking information processing module, wherein the renting information acquisition module is used for acquiring rent and expiration date of a parking space in a renting state;
the payment reminding module is used for generating payment reminding information for reminding the user of paying if the difference between the current date and the due date is smaller than a preset threshold;
and the overdue reminding module is used for generating payment reminding information for reminding the user of paying and charge reminding information for reminding the property party of charging if the current date is greater than the expiration date.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the visual parking space information acquiring device 100 provided in the embodiment of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the embodiment of the application provides a visual parking space information acquisition method and device, and relates to the technical field of data processing. The method comprises the following steps: acquiring scale parameters of a target parking lot and parking space parameters of all parking spaces; the parking space parameters comprise the states of parking spaces; generating a visual model according to the scale parameters and the parking space parameters; wherein, all parking spaces in the visual model adopt different colors to represent the states; acquiring a parking space selection instruction input by a user, and determining a target parking space included in the parking space selection instruction; searching a target parking space in the visual model; and acquiring all information of the target parking space, and marking all the information of the target parking space in the visual model. After the scale parameters of the target parking lot and the parking space parameters of all the parking spaces are obtained, a visual model is generated, and a user can visually know the actual conditions of the parking spaces through the visual model. And then, a parking space selection instruction input by a user is acquired, a target parking space is found in the visual model, simultaneously, all information of the target parking space is acquired, and the information is marked in the visual model, so that the user can accurately acquire parking space information and visually check the information, and the convenience of information checking is improved.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A visual parking space information acquisition method is characterized by comprising the following steps:
acquiring scale parameters of a target parking lot and parking space parameters of all parking spaces; the parking space parameters comprise the states of parking spaces;
generating a visual model according to the scale parameter and the parking space parameter; wherein, all parking spaces in the visual model adopt different colors to represent the states;
the method comprises the steps of obtaining a parking space selection instruction input by a user, and determining a target parking space included in the parking space selection instruction;
searching the target parking space in the visual model;
and acquiring all information of the target parking space, and marking all the information of the target parking space in the visual model.
2. The method of claim 1, wherein after the step of generating a visualization model based on the scale parameter and the parking space parameter, the method further comprises:
acquiring vehicle type parameters of a vehicle input by a user;
determining a plurality of parking spaces to be selected according to the vehicle type parameters and the parking space parameters;
generating a vehicle model according to the vehicle type parameters, and placing the vehicle model in each parking space to be selected in the visual model; wherein the vehicle model comprises a fully open state and a fully closed state of the vehicle door.
3. The method of claim 1, wherein after the step of generating a visualization model based on the scale parameter and the parking space parameter, the method further comprises:
acquiring vehicle type parameters of a vehicle input by a user;
determining a plurality of parking spaces to be selected according to the vehicle type parameters and the parking space parameters;
determining the route of each parking space to be selected for entering and exiting the target parking lot according to the visual model;
and calculating the time length of the vehicle entering and exiting the target parking lot according to the route.
4. The method of claim 1, further comprising:
acquiring all parking spaces in a renting state in the target parking lot;
acquiring the rent and the due date of the parking space in the renting state;
if the difference between the current date and the due date is smaller than a preset threshold value, generating payment reminding information for reminding the user of paying;
and if the current date is larger than the expiration date, generating payment reminding information for reminding the user of paying and charging reminding information for reminding the property party of charging.
5. The utility model provides a visual parking stall information acquisition device which characterized in that, the device includes:
the modeling parameter acquisition module is used for acquiring the scale parameters of the target parking lot and the parking space parameters of all parking spaces; the parking space parameters comprise the states of parking spaces;
the model generation module is used for generating a visual model according to the scale parameter and the parking space parameter; wherein, all parking spaces in the visual model adopt different colors to represent the states;
the system comprises a selection instruction acquisition module, a parking space selection module and a parking space selection module, wherein the selection instruction acquisition module is used for acquiring a parking space selection instruction input by a user and determining a target parking space included in the parking space selection instruction;
the target parking space determining module is used for searching the target parking space in the visual model;
and the parking space information acquisition and marking module is used for acquiring all information of the target parking space and marking all the information of the target parking space in the visual model.
6. The apparatus of claim 5, further comprising:
the first vehicle type parameter acquisition module is used for acquiring vehicle type parameters of a vehicle input by a user;
the first parking place determining module is used for determining a plurality of parking places to be selected according to the vehicle type parameters and the parking place parameters;
the visual display module is used for generating a vehicle model according to the vehicle type parameters and placing the vehicle model in each parking space to be selected in the visual model; wherein the vehicle model comprises a fully open state and a fully closed state of the vehicle door.
7. The apparatus of claim 5, further comprising:
the second vehicle type parameter acquisition module is used for acquiring vehicle type parameters of the vehicle input by a user;
the second candidate parking space determining module is used for determining a plurality of candidate parking spaces according to the vehicle type parameters and the parking space parameters;
the route determining module is used for determining the route of each parking space to be selected for entering and exiting the target parking lot according to the visual model;
and the time length calculating module is used for calculating the time length of the vehicle entering and exiting the target parking lot according to the route.
8. The apparatus of claim 5, further comprising:
the taxi parking space acquisition module is used for acquiring all taxi parking spaces in the target parking lot in a taxi state;
the renting information acquisition module is used for acquiring the rent and the expiration date of the parking space in the renting state;
the payment reminding module is used for generating payment reminding information for reminding the user of paying if the difference between the current date and the due date is smaller than a preset threshold value;
and the overdue reminding module is used for generating payment reminding information for reminding the user of paying and charge reminding information for reminding the property party of charging if the current date is greater than the expiration date.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117409611A (en) * | 2023-10-25 | 2024-01-16 | 武汉理工大学 | Intelligent parking guiding system based on large underground parking garage |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080027793A1 (en) * | 2006-07-28 | 2008-01-31 | Nicolaas Joseph Taylor | Method of parking permit issuance |
| CN103942977A (en) * | 2014-04-23 | 2014-07-23 | 上海思亮信息技术股份有限公司 | Parking space management system and management method thereof |
| CN105844716A (en) * | 2016-01-06 | 2016-08-10 | 乐卡汽车智能科技（北京）有限公司 | Information processing method and system, and terminal device |
| CN105931494A (en) * | 2016-07-15 | 2016-09-07 | 江苏银光智能系统工程有限公司 | System and method for accurately acquiring parking spaces |
| CN106469469A (en) * | 2016-08-31 | 2017-03-01 | 北京悦畅科技有限公司 | A kind of method and system realizing the lease control of Parking position |
| CN106971615A (en) * | 2017-05-23 | 2017-07-21 | 盛仕昌 | Parking charge method and device |
| CN110047318A (en) * | 2019-04-12 | 2019-07-23 | 深圳壹账通智能科技有限公司 | Periphery parking stall method for pushing, device and computer readable storage medium |
| CN111179448A (en) * | 2020-01-10 | 2020-05-19 | 长沙理工大学 | Method and system for managing parking spaces of community |
| CN111354218A (en) * | 2020-03-06 | 2020-06-30 | 遂宁市锐毅科技有限公司 | Parking space management method and system |
| CN111627246A (en) * | 2020-06-12 | 2020-09-04 | 桂林电子科技大学 | Intelligent parking space recommendation method based on image recognition and user preference |
| WO2020241988A1 (en) * | 2019-05-28 | 2020-12-03 | 엘지전자 주식회사 | Method for vehicle to communicate with network in wireless communication system, and vehicle therefor |
-
2020
- 2020-12-10 CN CN202011432198.2A patent/CN112581789A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080027793A1 (en) * | 2006-07-28 | 2008-01-31 | Nicolaas Joseph Taylor | Method of parking permit issuance |
| CN103942977A (en) * | 2014-04-23 | 2014-07-23 | 上海思亮信息技术股份有限公司 | Parking space management system and management method thereof |
| CN105844716A (en) * | 2016-01-06 | 2016-08-10 | 乐卡汽车智能科技（北京）有限公司 | Information processing method and system, and terminal device |
| CN105931494A (en) * | 2016-07-15 | 2016-09-07 | 江苏银光智能系统工程有限公司 | System and method for accurately acquiring parking spaces |
| CN106469469A (en) * | 2016-08-31 | 2017-03-01 | 北京悦畅科技有限公司 | A kind of method and system realizing the lease control of Parking position |
| CN106971615A (en) * | 2017-05-23 | 2017-07-21 | 盛仕昌 | Parking charge method and device |
| CN110047318A (en) * | 2019-04-12 | 2019-07-23 | 深圳壹账通智能科技有限公司 | Periphery parking stall method for pushing, device and computer readable storage medium |
| WO2020241988A1 (en) * | 2019-05-28 | 2020-12-03 | 엘지전자 주식회사 | Method for vehicle to communicate with network in wireless communication system, and vehicle therefor |
| CN111179448A (en) * | 2020-01-10 | 2020-05-19 | 长沙理工大学 | Method and system for managing parking spaces of community |
| CN111354218A (en) * | 2020-03-06 | 2020-06-30 | 遂宁市锐毅科技有限公司 | Parking space management method and system |
| CN111627246A (en) * | 2020-06-12 | 2020-09-04 | 桂林电子科技大学 | Intelligent parking space recommendation method based on image recognition and user preference |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117409611A (en) * | 2023-10-25 | 2024-01-16 | 武汉理工大学 | Intelligent parking guiding system based on large underground parking garage |
| CN117409611B (en) * | 2023-10-25 | 2024-04-26 | 武汉理工大学 | Intelligent parking guiding system based on large underground parking garage |
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