CN114155716A - Parking space management method, device, equipment and computer storage medium - Google Patents
Parking space management method, device, equipment and computer storage medium Download PDFInfo
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- G08G—TRAFFIC CONTROL SYSTEMS
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Abstract
The embodiment of the invention relates to the technical field of parking stall sales, and discloses a parking stall management method, which comprises the following steps: determining parking space design data; the parking space design data comprises a plurality of entities; analyzing the parking space design data to obtain entity characteristic information corresponding to each entity; determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information; and determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics. Through the mode, the embodiment of the invention improves the accuracy and efficiency of parking space management.
Description
Technical Field
The embodiment of the invention relates to the technical field of parking space management, in particular to a parking space management method, a parking space management device, parking space management equipment and a computer storage medium.
Background
At present, in parking space management, parking spaces are often required to be recommended, and the existing parking space recommendation depends on data analysis and evaluation capacity of developers or other more professional teams, so that the problem of low accuracy and/or efficiency exists in the existing parking space management.
Disclosure of Invention
In view of the foregoing problems, embodiments of the present invention provide a parking space management method, device, apparatus, and computer storage medium, which are used to solve the problem in the prior art that the accuracy and/or efficiency of parking space recommendation is low.
According to an aspect of an embodiment of the present invention, there is provided a parking space management method, including:
determining parking space design data; the parking space design data comprises a plurality of entities;
analyzing the parking space design data to obtain entity characteristic information corresponding to each entity;
determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information;
and determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
In an optional manner, the parking space characteristics include a parking space body element and a corresponding parking space element parameter; the parking space environment characteristics comprise at least one parking space environment element and corresponding environment element parameters; the method further comprises the following steps:
screening the plurality of entities according to the entity characteristic information to obtain at least one target entity block; the target entity block comprises at least one entity and meets target entity characteristic conditions; the target entity characteristic condition is one of a plurality of selectable entity characteristic conditions;
determining the parking space environment element or the parking space body element corresponding to the target entity block according to the target entity characteristic condition; the parking space environment element is one of a plurality of selectable environment elements; one of the selectable environmental elements corresponds to one of the selectable entity characteristic conditions;
and determining the corresponding environment element parameters or parking space element parameters according to the entity characteristic information of the target entity block.
In an optional manner, the method further comprises:
determining the scale information of the parking space design data;
determining at least one group of influence element groups and influence factors corresponding to the influence element groups according to the scale information, the parking space element parameters and the environment element parameters; the influence element group comprises the parking space body element and at least one parking space environment element;
and determining the recommendation degree according to the influence factor.
In an optional manner, the parking space element parameter includes a parking space element coordinate; the environment element parameters comprise environment element types and environment element coordinates; the method further comprises the following steps:
respectively determining the relative orientation information of the parking space body element and the parking space environment element according to the scale information, the parking space element coordinates and the environment element coordinates;
and determining the influence element group and the corresponding influence factor according to the relative orientation information and the environment element type.
In an optional manner, the method further comprises:
determining orientation influence conditions and factor polarities corresponding to the environment element types;
and determining the influence element group and the influence factor according to the relative orientation information, the orientation influence condition and the factor polarity.
In an optional manner, the method further comprises:
matching the relative azimuth information with the azimuth influence condition to obtain a matching result;
and determining the influence factor according to the matching result and the factor polarity.
In an optional manner, the method further comprises:
determining the sum of the impact factors of all the impact element groups;
and determining the price of the target parking space according to the sum of the influence factors and a preset basic price.
According to another aspect of the embodiments of the present invention, there is provided a parking space management device, including:
the first determining module is used for determining parking space design data; the parking space design data comprises a plurality of entities;
the analysis module is used for analyzing the parking space design data to obtain entity characteristic information corresponding to each entity;
the second determining module is used for determining the parking space characteristics of at least one target parking space and the parking space environment characteristics of the target parking space according to the entity characteristic information;
and the third determining module is used for determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
According to another aspect of the embodiments of the present invention, there is provided a parking space management device, including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation of the parking space management method.
According to another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium, where at least one executable instruction is stored, and when the executable instruction is executed on a parking space management device, the parking space management device is caused to perform an operation of the parking space management method according to any one of the above embodiments.
According to the embodiment of the invention, the parking space design data is determined; the parking space design data comprises a plurality of entities; analyzing the parking space design data to obtain entity characteristic information corresponding to each entity; determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information; the method and the device for recommending the parking space solve the problems that in the prior art, a professional is required to analyze parking space data manually, and therefore the efficiency and the accuracy of the parking space recommendation are not high.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 shows a schematic flow chart of a parking space management method provided in an embodiment of the present invention;
fig. 2 is a schematic structural diagram illustrating a parking space management device according to an embodiment of the present invention;
fig. 3 shows a schematic structural diagram of the parking space management device provided in the embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.
Before the description of the embodiments of the present invention, the following terms are explained:
DWG: computer aided design software AutoCAD and software based on AutoCAD store a proprietary file format for design data, often as design data in the field of architectural engineering. The file structure of the DWG comprises the following parts: head (fixed), solid part (variable length), meter part (variable length), block solid part (variable length), and emergency head (fixed length).
Fig. 1 shows a flowchart of a parking space management method according to an embodiment of the present invention, where the method is executed by a computer processing device. The computer processing device may include a cell phone, a notebook computer, etc. As shown in fig. 1, the method comprises the steps of:
step 10: determining parking space design data; the parking space design data comprises a plurality of entities.
In an embodiment of the present invention, the parking space design data may be design drawings corresponding to the parking space, collected image data, and the like, and the entity refers to a parking space design element, such as a circle, a straight line, an arc, an ellipse, a text, a pattern fill, and the like, for designing the parking space.
In yet another embodiment of the present invention, the format of the design drawing may be a DWG file, and the entities may include type information shown in an entity type information table in table 1 below, where the type information includes a type name and a type feature, the type name is a name of each entity in the DWG file, the type feature is used to characterize a representation form and a role of each type of entity in the DWG file, and each type of entity may be identified in the DWG file according to the type feature.
| Name of type | Type features |
| ARC (ARC) | In the form of a circular arc |
| ATTRIBUTE (Block ATTRIBUTE) | Appear in blocks in the form of objects containing text |
| CIRCLE (round) | Appear in a full circle |
| LINE (straight LINE) | Appear as a single line segment |
| POLYLINE (polysemy line) | Appearing as two-dimensional straight line segments of variable width, as arcs, or as combinations of three-dimensional straight line segments, as arcs, of non-variable width |
| ELLIPSE (oval-shaped) | For drawing ellipses |
| TEXT (TEXT) | The text appearing in the form of a string of characters comprising symbols of numbers, words, or the like |
| MTEXT (Multi-line text) | In the form of multiple lines of text |
| HATCH (Pattern filling) | In the defined area, one or more hatching lines appear in the form of filling at specific angles and intervals |
| BLOCK (solid BLOCK) | Blocks composed of multiple entities, each block object being usable for rotation, scaling, etc |
Table 1 entity type information table
Step 20: and analyzing the parking space design data to obtain entity characteristic information corresponding to each entity.
In an embodiment of the invention, entity identification is performed on the parking space design data to obtain entity type information and entity attribute information of each entity, and the entity type information and the entity attribute information are used as entity characteristic information corresponding to the entity. The entity attribute information may be parameters of the type of entity such as coordinates, angles, colors, and string values.
When the parking space design data is a DWG file, the entity of each type and the entity attribute of the entity can be extracted from the parking space design data according to the entity type information table in step 10.
Step 30: and determining the parking space characteristics of at least one target parking space and the parking space environment characteristics of the target parking space according to the entity characteristic information.
In an embodiment of the present invention, the parking space characteristics may include a parking space body element and a parking space element parameter corresponding to the parking space body element, and the parking space environment characteristics include at least one parking space environment element and a corresponding environment element parameter. All entities included in the parking space design data can be analyzed and combined according to the entity characteristic information to obtain at least one entity block, and one entity block comprises at least one entity; an entity block is used for representing a complete parking space or a constituent element of a parking space environment. The elements of the parking space can be the elements of the parking space body, such as an ordinary parking space, a new energy parking space, a parking space number and the like. The parking space environment may be the wall, the broken road, the fire-fighting pile, the entrance and the exit, etc.
When the entity block is determined, a plurality of preset optional entity characteristic conditions can be matched with entity characteristic information, and the entity block and the corresponding entity block are determined according to a matching result, wherein one optional entity characteristic condition is used for representing one preset parking space environment element or parking space body element.
Thus, in one embodiment of the present invention, step 30 further comprises:
step 301: screening the plurality of entities according to the entity characteristic information to obtain at least one target entity block; the target entity block comprises at least one entity and meets target entity characteristic conditions; the target entity characteristic condition is one of a plurality of selectable entity characteristic conditions.
In one embodiment of the invention, the optional entity characteristic condition is used for representing a preset parking space environment element or a parking space body element; that is, at least one entity corresponding to the entity characteristic information satisfying the optional entity characteristic condition may constitute one target entity block, and one target entity block corresponds to one parking space environment element or parking space body element.
Wherein the selectable entity characteristic condition is a screening condition for at least one item of entity characteristic information. The parking space environment elements can be environment composition elements such as walls, broken roads, fire piles, entrances and exits in the parking space environment, and the parking space body elements can be ordinary parking spaces, new energy parking spaces, parking space numbers and the like.
Step 302: determining the parking space environment element or the parking space body element corresponding to the target entity block according to the target entity characteristic condition; the parking space environment element is one of a plurality of selectable environment elements; one of the selectable environmental elements corresponds to one of the selectable entity characteristic conditions.
In one embodiment of the invention, optional entity characteristic conditions are used to characterize conditions that are satisfied by an entity type and an entity attribute. And determining the parking space environment elements or the parking space body elements mapped by the target entity characteristic conditions as the parking space environment elements or the parking space body elements corresponding to the target entity blocks according to the mapping relation between the target entity characteristic conditions and the parking space environment elements or the parking space body elements.
Specifically, the following table 2 may be referred to determine a parking space environment element or a parking space body element corresponding to the target entity block.
| Parking space environment element/parking space body element | Target entity characteristic conditions |
| Parking space | The entity comprises a Polyline type rectangle, and the number of points in the entity is a preset number (such as 5); and the length of the rectangle belongs to a first preset interval (such as [4000,4800]Unit mm) and width in a second predetermined interval (e.g., [2000,2300 ]]Unit mm) |
| Wall body | The entity comprises Polyline types, and the number of the points is a preset number (for example, the number can be 7,9, 11 and 13) |
| Center post | The entity comprises a rectangle of Polyline type; and the length and width of the rectangle belong to a third preset interval (such as [0.4,.6 ]) respectively]Unit mm) |
| Parking space number | The entity type is TEXT and the TEXT TEXT conforms to a regular expression: [ A-G ]][0-9]{3} the coordinates of the entity are in the rectangular range corresponding to the identified parking space body element |
| Fire hydrant | The entity comprises equilateral triangles of Polyline type, and the number of points is 4 |
| New energy vehicleBit | The entity type is Block, the entity comprises a sub-entity of MText or Text type, and the Text attribute comprises a preset typeface (such as charging); and the coordinates of the fruiting body are on the vehicle Within the rectangular range corresponding to the body element |
| Elevator room | The entity type comprises a first preset graphic characteristic for characterizing the elevator |
| Broken end road | The entity type is Block and comprises a second preset graphic characteristic for representing the broken head path |
| Congested road | The entity type is Block and comprises a third preset graphic feature for representing the deceleration strip identification |
Table 2 entity characteristic conditions and element mapping table
Step 303: and determining the corresponding environment element parameters or parking space element parameters according to the entity characteristic information of the target entity block.
In an embodiment of the present invention, the entity characteristic information of the target entity block is determined as the parking space element parameter or the parking space element parameter corresponding to the target entity block.
Step 40: and determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
In an embodiment of the invention, an influence element group which can influence the use of the parking space and an influence factor corresponding to the influence element group are determined according to the relative relationship between the parking space environment characteristic and the parking space characteristic, and finally, the recommendation degree of the target parking space is determined according to the influence factors corresponding to all the influence element groups.
The influence element group comprises a parking space body element and at least one parking space environment element and is used for representing an element combination which can influence the recommendation degree of a parking space. The relative relationship may include a numerical value of the feature and a relative distance relationship in direction. The influence factor is used for representing the influence degree of the element combination on the recommendation degree of the parking space, and the influence degree can be positive or negative.
In another embodiment of the present invention, the value of the impact factor may be determined according to the relative distance between the features, the feature relationship may be matched with the preset orientation impact condition, and the positive or negative of the corresponding impact factor may be determined according to the matched orientation impact condition, so as to integrate the positive or negative of the factor and the value of the factor to obtain the impact factor value.
Thus, in a further embodiment of the present invention, step 40 further comprises:
step 401: and determining the scale information of the parking space design data.
In one embodiment of the invention, the scale information is used to represent the scaling of the entities in the space design data to the size of each element constituting the real space environment.
Step 402: and determining at least one group of influence element groups and influence factors corresponding to the influence element groups according to the scale information, the parking space element parameters and the environment element parameters.
In an embodiment of the present invention, the influence element group includes the parking space body element and at least one parking space environment element, and the influence element group is used to represent an element combination that may influence the parking space recommendation degree. If parking stall body element can be non-new forms of energy parking stall, parking stall environmental element is fire control stake or wall body, because fire control stake or wall body probably cause the influence to the use of parking stall, consequently non-new forms of energy parking stall and fire control stake constitute a set of influence element group, and non-new forms of energy parking stall and wall body also constitute a set of influence element group.
Optionally, the parking space body element may be a new energy parking space, and the parking space environment element is a charging pile, so that the new energy parking space and the charging pile form a group of influencing element groups.
Therefore, the environment element parameters include environment element types and environment element coordinates, and the influence element groups, such as the non-new energy parking spaces and the fire piles, can be determined according to the environment element types. Considering that the position of the parking space is generally fixed, the influence of the parking space environment elements on the parking space is directly related to the relative position of the parking space and the vehicle, such as whether the distance between a wall and the parking space is close to the switch influencing the vehicle door, whether some parking space environment elements causing traffic obstacles are the direction of the head of the parking space, and the like.
In an embodiment of the present invention, the influence factor corresponding to the influence element group may be determined according to the environment element coordinates and the relative orientation information between the parking space element coordinates included in the parking space element parameters, and further, considering that the parking space design data has a certain scaling with the real parking space environment, the relative orientation information is determined by combining the scale information, the parking space element coordinates, and the environment element coordinates.
Thus, in yet another embodiment of the present invention, the slot element parameter includes a slot element coordinate; the environment element parameters include an environment element type and environment element coordinates. The parking space element coordinates refer to the coordinates of the parking space body elements in the parking space design files, and the environment element coordinates refer to the coordinates of each parking space environment element in the parking space design files.
Step 402 further comprises: step 4021: and respectively determining the relative orientation information of the parking space body element and the parking space environment element according to the scale information, the parking space element coordinates and the environment element coordinates.
In one embodiment of the invention, the relative orientation information includes information such as relative direction and relative distance between the parking space body element and the parking space environment element. The relative direction can be an angle between the parking space environment coordinate and the parking space body coordinate, and the relative distance can be a linear distance between the parking space environment coordinate and the parking space body coordinate. For example, for a parking space body element that is a non-new energy parking space, a parking space environment element that is a congested road, the relative direction information may be that the congested road is 10 meters away from the 30-degree direction of the head of the non-new energy parking space.
Step 4022: and determining the influence element group and the corresponding influence factor according to the relative orientation information and the environment element type.
In an embodiment of the invention, one environment element type corresponds to at least one orientation influence condition, and the orientation influence condition is used for representing what relative orientation the parking space environment element of the environment element type forms with the parking space body, so that the user experience and the value of the parking space are influenced, and the recommendation degree of the parking space is influenced. For example, for the environmental element type of the wall, the orientation influence condition may be within a certain distance from the parking space body element. The influence factors are used for representing influence values of the influence element groups on parking experience and value of the parking space, the influence values are positive and negative, and the larger the influence value is, the larger the recommendation degree of the parking space is.
In yet another embodiment of the present invention, an orientation affecting condition corresponds to a polarity (i.e., positive or negative) of an affecting factor, the orientation affecting condition is matched with at least one orientation affecting condition corresponding to the environment element type, the absolute value of the affecting factor is determined according to the polarity of the affecting factor corresponding to the matched orientation affecting condition, and then according to the distance value in the relative orientation information. Wherein the larger the distance value, the smaller the absolute value of the influence factor.
In a further embodiment of the invention, a position influencing condition may also directly correspond to the value of an influencing factor, so that the position influencing condition may be directly mapped with the value of the influencing factor.
Considering that the influence of the parking space environment element on the usage experience of the parking space positively and negatively depends on the type of the parking space environment element itself, such as whether the parking space environment element is an obstacle type influencing parking or a facility type facilitating parking or charging, and on the other hand, the degree of influence is also influenced by the distance between the parking space environment element and the parking space, in an embodiment of the present invention, the step 4022 further includes:
step 221: and determining the orientation influence condition and the factor polarity corresponding to the environment element type.
In an embodiment of the present invention, as described above, one environment element type corresponds to at least one orientation influence condition, where the orientation influence condition is used to characterize what relative orientation the parking space environment element of the environment element type forms with the parking space body, which may affect the user experience and value of the parking space, thereby affecting the recommendation degree of the parking space.
The factor polarity refers to the positive and negative of the influence factor, the influence factor is positive, and the influence of the influence factor group representing the type of the environment element on the recommendation degree of the parking space is positive, such as convenience for a user to use or rent and sell, or negative, so that the larger the value of the influence factor is, the larger the recommendation degree of the parking space is. Specifically, the mapping relationship between the orientation affecting condition and the affecting factor can include that shown in the table 3 orientation affecting condition and affecting factor mapping table.
| Type of environmental element | Azimuth influence Condition | Polarity of influence factor | Absolute value of influence factor |
| Broken end road | The direction of the head of the parking space is provided with a head-off mark and is within a preset range (such as 10 meters) | Negative pole | 15% |
| Congested road | Road sign with congestion in parking space preset range (such as 15 meters) | |
10% |
| Wall near main driving door | The side edge of the parking lot is parallel to the long edge of the wall body and is far away from the long edge<0.8 m | |
10% |
| Wall near the secondary driving door | The side edge of the parking stall is parallel to the long edge of the wall body and is far away from the long edge<0.5 m | |
10% |
| Central post for influencing main driving door | Distance between vehicle head vertex of side edge of parking lot and center pillar>0.5 m | Negative pole | 8% |
| Middle post influencing vice driving door | Distance between vehicle head vertex of side edge of parking lot and center pillar>0.5 m | Negative pole | 8% |
| Close to the fire hydrant | Distance between 4 sides of rectangular parking space and fire hydrant<1 m | Negative pole | 3% |
| Near the entrance | Is just | 10% |
TABLE 3 Azimuth Effect conditions and Effect factors mapping Table
Step 222: and determining the influence element group and the influence factor according to the relative orientation information, the orientation influence condition and the factor polarity.
In one embodiment of the present invention, the relative orientation information is matched with the orientation influence condition, the absolute value of the influence factor is determined according to the degree of matching, and the influence element group and the corresponding influence factor are determined according to the factor polarity corresponding to the orientation influence condition in combination with the absolute value.
Thus, in yet another embodiment of the present invention, step 222 further comprises:
step 2221: and matching the relative azimuth information with the azimuth influence condition to obtain a matching result.
In an embodiment of the present invention, the matching result includes a satisfaction degree of the orientation affecting condition, for example, the orientation affecting condition includes an affecting distance threshold and an affecting angle threshold, the relative orientation information includes a relative distance and a relative angle, the matching result includes a first similarity between the relative distance and the affecting distance threshold, and a second similarity between the relative angle and the affecting angle threshold, and the greater the first similarity and the second similarity, the greater the satisfaction degree of the orientation affecting condition.
Step 2222: and determining the influence factor according to the matching result and the factor polarity.
In one embodiment of the invention, the factor absolute value of the influence factor is determined according to the matching result, and the influence factor is comprehensively determined according to the factor polarity and the factor absolute value.
In another embodiment of the present invention, the first similarity and the second similarity in step 2221 may be respectively compared with a preset similarity interval, and the absolute value of the factor of the influence factor may be determined according to the absolute value of the factor corresponding to the similarity interval where the first similarity and the second similarity are located.
Step 403: and determining the recommendation degree according to the influence factor.
In one embodiment of the invention, the sum of the influence factors of all the influence element groups is determined, and the recommendation degree of the target parking space is determined according to the sum of the influence factors.
In another embodiment of the invention, a parking space recommendation list can be determined from all parking spaces in the parking space design data according to the recommendation degree and pushed to the user, and all parking spaces in the parking space recommendation list are arranged from high to low according to the recommendation degree, so that the user can select the parking space with the best parking experience according to the parking space recommendation list.
In still another embodiment of the present invention, after step 403, the method further comprises:
step 4031: determining the sum of the impact factors for all of the groups of impact elements.
In an embodiment of the present invention, considering the determination mode of the influence factor, the influence factor is polar, so that the influence factors of all the influence element groups corresponding to the target parking space can be summed to obtain the influence factor
Step 4032: and determining the price of the target parking space according to the sum of the influence factors and a preset basic price.
In an embodiment of the present invention, the price P of the target parking space may be determined according to the following formula:
P=Pbase*(1+∑factori)；
wherein, Pbase is the preset basic price; and sigma factor is the sum of the influencing factors.
Specifically, Pbase may be determined according to the parking space price big data or the historical price data of the target parking space.
The parking space management method provided by the embodiment of the invention determines the design data of the parking space; the parking space design data comprises a plurality of entities; analyzing the parking space design data to obtain entity characteristic information corresponding to each entity; determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information; the recommendation degree of the target parking space is determined according to the parking space characteristics and the parking space environment characteristics, so that the problem that in the prior art, a professional person is required to manually analyze parking space data, and therefore the efficiency and the accuracy of the recommendation of the parking space are not high is solved.
Fig. 2 shows a schematic structural diagram of a parking space management device provided in an embodiment of the present invention. As shown in fig. 2, the apparatus 50 includes: a first determination module 501, a parsing module 502, a second determination module 503, and a third determination module 504.
The first determining module 501 is configured to determine parking space design data; the parking space design data comprises a plurality of entities;
an analyzing module 502, configured to analyze the parking space design data to obtain entity feature information corresponding to each entity;
a second determining module 503, configured to determine, according to the entity feature information, a parking space feature of at least one target parking space and a parking space environment feature of the target parking space;
a third determining module 504, configured to determine the recommendation degree of the target parking space according to the parking space characteristic and the parking space environment characteristic.
The operation executed by the parking space management device provided by the embodiment of the invention is substantially the same as the operation process of the embodiment of the parking space management method, and is not repeated.
The parking space management device provided by the embodiment of the invention determines the design data of the parking space; the parking space design data comprises a plurality of entities; analyzing the parking space design data to obtain entity characteristic information corresponding to each entity; determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information; the method comprises the steps of determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics, so that the problem that in the prior art, a professional is required to manually analyze parking space data, and therefore the efficiency and the accuracy of the recommendation of the parking space are not high is solved.
Fig. 3 is a schematic structural diagram of a parking space management device according to an embodiment of the present invention, and a specific embodiment of the present invention does not limit a specific implementation of the parking space management device.
As shown in fig. 3, the parking space management device may include: a processor (processor)602, a communication Interface 604, a memory 606, and a communication bus 608.
Wherein: the processor 602, communication interface 604, and memory 606 communicate with one another via a communication bus 608. A communication interface 604 for communicating with network elements of other devices, such as clients or other servers. The processor 602 is configured to execute the program 610, and may specifically execute the relevant steps in the embodiment of the parking space management method.
In particular, program 610 may include program code comprising computer-executable instructions.
The processor 602 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The parking space management device comprises one or more processors which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 606 for storing a program 610. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Specifically, the program 610 may be invoked by the processor 602 to enable the parking space management device to perform the following operations:
determining parking space design data; the parking space design data comprises a plurality of entities;
analyzing the parking space design data to obtain entity characteristic information corresponding to each entity;
determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information;
and determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
The operation executed by the parking space management device provided by the embodiment of the invention is substantially the same as the operation process of the embodiment of the parking space management method, and is not repeated.
The parking space management equipment provided by the embodiment of the invention determines the design data of the parking space; the parking space design data comprises a plurality of entities; analyzing the parking space design data to obtain entity characteristic information corresponding to each entity; determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information; the method comprises the steps of determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics, so that the problem that in the prior art, a professional is required to manually analyze parking space data, and therefore the efficiency and the accuracy of the recommendation of the parking space are not high is solved.
The embodiment of the invention provides a computer-readable storage medium, wherein at least one executable instruction is stored in the storage medium, and when the executable instruction runs on a parking space management device, the parking space management device executes a parking space management method in any method embodiment.
The executable instructions may be specifically configured to cause the parking space management device to perform the following operations:
determining parking space design data; the parking space design data comprises a plurality of entities;
analyzing the parking space design data to obtain entity characteristic information corresponding to each entity;
determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information;
and determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
The operation executed by the computer storage medium provided by the embodiment of the invention is substantially the same as the operation process of the embodiment of the parking space management method, and is not repeated.
The computer storage medium provided by the embodiment of the invention determines the parking space design data; the parking space design data comprises a plurality of entities; analyzing the parking space design data to obtain entity characteristic information corresponding to each entity; determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information; the recommendation degree of the target parking space is determined according to the parking space characteristics and the parking space environment characteristics, so that the problem that in the prior art, a professional is required to manually analyze parking space data, and the efficiency and the accuracy of the recommendation of the parking space are not high is solved.
The embodiment of the invention provides a parking space management device, which is used for executing the parking space management method.
The embodiment of the invention provides a computer program, and the computer program can be called by a processor to enable parking space management equipment to execute the parking space management method in any method embodiment.
An embodiment of the present invention provides a computer program product, where the computer program product includes a computer program stored on a computer-readable storage medium, where the computer program includes program instructions, and when the program instructions are run on a computer, the computer is caused to execute the parking space management method in any of the above method embodiments.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. A parking space management method is characterized by comprising the following steps:
determining parking space design data; the parking space design data comprises a plurality of entities;
analyzing the parking space design data to obtain entity characteristic information corresponding to each entity;
determining parking space characteristics of at least one target parking space and parking space environment characteristics of the target parking space according to the entity characteristic information;
and determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
2. The method of claim 1, wherein the parking spot characteristics include a parking spot body element and a corresponding parking spot element parameter; the parking space environment characteristics comprise at least one parking space environment element and corresponding environment element parameters; the determining of the parking space characteristics of at least one target parking space and the parking space environment characteristics of the target parking space according to the entity characteristic information includes:
screening the plurality of entities according to the entity characteristic information to obtain at least one target entity block; the target entity block comprises at least one entity and meets target entity characteristic conditions; the target entity characteristic condition is one of a plurality of selectable entity characteristic conditions;
determining the parking space environment element or the parking space body element corresponding to the target entity block according to the target entity characteristic condition; the parking space environment element is one of a plurality of selectable environment elements; one of the selectable environmental elements corresponds to one of the selectable entity characteristic conditions;
and determining the corresponding environment element parameters or parking space element parameters according to the entity characteristic information of the target entity block.
3. The method of claim 2, wherein the determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics comprises:
determining the scale information of the parking space design data;
determining at least one group of influence element groups and influence factors corresponding to the influence element groups according to the scale information, the parking space element parameters and the environment element parameters; the influence element group comprises the parking space body element and at least one parking space environment element;
and determining the recommendation degree according to the influence factor.
4. The method of claim 3, wherein the slot element parameters include slot element coordinates; the environment element parameters comprise environment element types and environment element coordinates; the determining at least one group of influence element groups and influence factors corresponding to the influence element groups according to the scale information, the parking space element parameters and the environment element parameters comprises:
respectively determining the relative orientation information of the parking space body element and the parking space environment element according to the scale information, the parking space element coordinates and the environment element coordinates;
and determining the influence element group and the corresponding influence factor according to the relative orientation information and the environment element type.
5. The method of claim 4, wherein said determining said set of influencing elements and corresponding said influencing factors based on said relative orientation information and said environmental element type comprises:
determining orientation influence conditions and factor polarities corresponding to the environment element types;
and determining the influence element group and the influence factor according to the relative orientation information, the orientation influence condition and the factor polarity.
6. The method of claim 4, wherein said determining said set of influence elements and said influence factor based on said relative bearing information, bearing influence conditions, and factor polarity comprises:
matching the relative azimuth information with the azimuth influence condition to obtain a matching result;
and determining the influence factor according to the matching result and the factor polarity.
7. The method of claim 3, further comprising:
determining the sum of the impact factors of all the impact element groups;
and determining the price of the target parking space according to the sum of the influence factors and a preset basic price.
8. The utility model provides a parking stall management device which characterized in that, the device includes:
the first determining module is used for determining parking space design data; the parking space design data comprises a plurality of entities;
the analysis module is used for analyzing the parking space design data to obtain entity characteristic information corresponding to each entity;
the second determining module is used for determining the parking space characteristics of at least one target parking space and the parking space environment characteristics of the target parking space according to the entity characteristic information;
and the third determining module is used for determining the recommendation degree of the target parking space according to the parking space characteristics and the parking space environment characteristics.
9. The utility model provides a parking stall management equipment which characterized in that includes: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation of the parking space management method according to any one of claims 1-7.
10. A computer-readable storage medium having stored thereon at least one executable instruction, which when executed on a space management device, causes the space management device to perform operations of the space management method according to any one of claims 1 to 7.
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