CN114528361A - Parking point planning method, device, equipment and storage medium - Google Patents
Parking point planning method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the field of big data, and discloses a parking point planning method, a parking point planning device, parking point planning equipment and a storage medium, which are used for improving the accuracy of parking point planning. The method comprises the following steps: acquiring a starting point coordinate and a finishing point coordinate in the non-motor vehicle travel data; rasterizing a preset planar map to obtain a raster map layer, and converting a start point coordinate and an end point coordinate into a raster coordinate to obtain travel raster coordinate information; carrying out aggregation processing on the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle; obtaining original parking point data, and comparing the original parking point data with a parking thermodynamic diagram to obtain a hot door parking area; and drawing the target parking point according to the hot parking area to obtain a parking point planning map. In addition, the invention also relates to a block chain technology, and the parking point planning map can be stored in the block chain nodes. This scheme can be applied to in the smart city field to promote smart city's construction.
Description
Technical Field
The present invention relates to the field of data analysis, and in particular, to a method, an apparatus, a device, and a storage medium for planning a parking spot.
Background
Along with the development of internet technology, the unattended sharing bicycle brings convenience for people's trip, but also has appeared the problem of parking in disorder when providing convenience, leads to city face to be destroyed.
In order to effectively remedy the problem of disordered parking of the shared bicycle, the prior art generally clusters walking track data based on a data analysis technology so as to determine a parking point, but the walking track data cannot accurately reflect the parking requirement of the shared bicycle, so that the parking point is not accurately planned.
Disclosure of Invention
The invention provides a parking point planning method, a parking point planning device, parking point planning equipment and a storage medium, which are used for improving the accuracy of parking point planning.
The invention provides a parking point planning method in a first aspect, which comprises the following steps:
receiving a parking point planning request, and acquiring travel data of the non-motor vehicle through the parking point planning request, wherein the travel data comprises a starting point coordinate and a finishing point coordinate;
rasterizing a preset planar map to obtain a grid map layer, and converting the starting point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information;
performing aggregation processing on the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
obtaining original parking point data, and comparing the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area without the parking point;
and drawing a map of the target parking point according to the hot door parking area without the parking point to obtain a parking point planned map.
Optionally, in a first implementation manner of the first aspect of the present invention, the receiving a parking point planning request, and obtaining travel data of a non-motor vehicle through the parking point planning request, where the travel data includes a start point coordinate and an end point coordinate, includes:
receiving a parking point planning request, and extracting an identity identifier in the parking point planning request;
performing authority authentication on the identity identifier in the parking point planning request to obtain an authority authentication result;
and if the authority authentication result indicates that the identity identification has the data acquisition authority of the target shared bicycle platform, acquiring the starting point coordinate and the end point coordinate of the non-motor vehicle from the target shared bicycle platform to obtain the travel data.
Optionally, in a second implementation manner of the first aspect of the present invention, the rasterizing a preset planar map to obtain a grid map layer, and converting the start point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain trip grid coordinate information includes:
acquiring a preset plane map, and reading longitude and latitude coordinate information corresponding to the plane map;
performing pixel grid segmentation on longitude and latitude coordinate information in the planar map according to a cell with a preset size to obtain a grid map layer, wherein the grid map layer is used for indicating the corresponding relation between the longitude and latitude coordinate information and the pixel grid coordinate information;
and mapping the start point coordinate and the end point coordinate into a pixel grid coordinate according to the corresponding relation between the latitude coordinate information and the pixel grid coordinate information in the grid map layer to obtain the travel grid coordinate information.
Optionally, in a third implementation manner of the first aspect of the present invention, the aggregating the grid map layer and the trip grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle includes:
carrying out coordinate repetition frequency statistics on the travel grid coordinate information to obtain a maximum heat value with the maximum repetition frequency and a minimum heat value with the minimum repetition frequency;
setting a color rendering proportion value according to the maximum heat force value and the minimum heat force value, and calculating a heat force intensity value corresponding to each travel grid in the travel grid coordinate information according to the color rendering proportion value;
and according to the corresponding thermal strength value of each travel grid, performing color rendering on each travel grid in the travel grid coordinate information to obtain the parking thermodynamic diagram of the non-motor vehicle.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the color rendering is performed on each travel grid in the travel grid coordinate information according to a corresponding thermal strength value of each travel grid, so as to obtain a parking thermodynamic diagram of the non-motor vehicle, where the method includes:
setting a thermal palette according to the thermal strength value corresponding to each stroke grid, wherein the thermal palette is used for indicating the linear gradient color value corresponding to the thermal strength value corresponding to each stroke grid;
calculating a thermal color value corresponding to each stroke grid in the stroke grid coordinate information according to the thermal palette of each stroke grid;
and drawing the color of each stroke grid in the stroke grid coordinate information based on the thermal color value corresponding to each stroke grid to obtain the parking thermodynamic diagram of the non-motor vehicle.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the obtaining original parking point data, and comparing the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area without a parking point, includes:
extracting initial stroke grid information in the grid map layer according to the thermal color value of each stroke grid in the parking thermodynamic diagram, wherein the initial stroke grid information is used for indicating that the thermal color value is larger than a preset color value threshold;
obtaining original parking point data, and projecting the original parking point data into the grid map layer to obtain original parking point grid information corresponding to the original parking point data;
and comparing the initial travel grid information with the original parking point grid information to obtain target travel grid information without parking points, and determining a hot door parking area without parking points according to the target travel grid information without parking points.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the performing a map drawing of the target parking point according to the hot parking area without the parking point to obtain a parking point planned map includes:
drawing a target travel grid in the grid map layer according to the target travel grid information corresponding to the hot parking area without the parking point, so as to obtain a parking point planning layer;
and merging the parking point planning map layer and the plane map to obtain a parking point planning map.
The second aspect of the present invention provides a parking spot planning apparatus, including:
the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving a parking point planning request and acquiring the travel data of the non-motor vehicle through the parking point planning request, and the travel data comprises a starting point coordinate and an end point coordinate;
the conversion module is used for rasterizing a preset planar map to obtain a grid map layer, and converting the starting point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information;
the aggregation module is used for aggregating the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
the comparison module is used for acquiring original parking point data and comparing the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area without a parking point;
and the drawing module is used for drawing a map of the target parking point according to the hot parking area without the parking point to obtain a parking point planned map.
Optionally, in a first implementation manner of the second aspect of the present invention, the receiving module is specifically configured to:
receiving a parking point planning request, and extracting an identity identifier in the parking point planning request;
performing authority authentication on the identity identifier in the parking point planning request to obtain an authority authentication result;
and if the authority authentication result indicates that the identity identification has the data acquisition authority of the target shared bicycle platform, acquiring the starting point coordinate and the end point coordinate of the non-motor vehicle from the target shared bicycle platform to obtain the travel data.
Optionally, in a second implementation manner of the second aspect of the present invention, the conversion module is specifically configured to:
acquiring a preset plane map, and reading longitude and latitude coordinate information corresponding to the plane map;
performing pixel grid segmentation on longitude and latitude coordinate information in the planar map according to a cell with a preset size to obtain a grid map layer, wherein the grid map layer is used for indicating the corresponding relation between the longitude and latitude coordinate information and the pixel grid coordinate information;
and mapping the start point coordinate and the end point coordinate into a pixel grid coordinate according to the corresponding relation between the latitude coordinate information and the pixel grid coordinate information in the grid map layer to obtain the travel grid coordinate information.
Optionally, in a third implementation manner of the second aspect of the present invention, the aggregation module includes:
the statistical unit is used for carrying out coordinate repetition frequency statistics on the travel grid coordinate information to obtain a maximum heat force value with the maximum repetition frequency and a minimum heat force value with the minimum repetition frequency;
the setting unit is used for setting a color rendering proportion value according to the maximum heat force value and the minimum heat force value and calculating a heat force intensity value corresponding to each travel grid in the travel grid coordinate information according to the color rendering proportion value;
and the rendering unit is used for performing color rendering on each travel grid in the travel grid coordinate information according to the corresponding thermal strength value of each travel grid to obtain the parking thermodynamic diagram of the non-motor vehicle.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the rendering unit is specifically configured to:
setting a thermal palette according to the thermal strength value corresponding to each stroke grid, wherein the thermal palette is used for indicating the linear gradient color value corresponding to the thermal strength value corresponding to each stroke grid;
calculating a thermal color value corresponding to each stroke grid in the stroke grid coordinate information according to the thermal palette of each stroke grid;
and drawing the color of each stroke grid in the stroke grid coordinate information based on the thermal color value corresponding to each stroke grid to obtain the parking thermodynamic diagram of the non-motor vehicle.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the comparing module is specifically configured to:
extracting initial stroke grid information in the grid map layer according to the thermal color value of each stroke grid in the parking thermodynamic diagram, wherein the initial stroke grid information is used for indicating that the thermal color value is larger than a preset color value threshold;
obtaining original parking point data, and projecting the original parking point data into the grid map layer to obtain original parking point grid information corresponding to the original parking point data;
and comparing the initial travel grid information with the original parking point grid information to obtain target travel grid information without parking points, and determining a hot door parking area without parking points according to the target travel grid information without parking points.
Optionally, in a sixth implementation manner of the second aspect of the present invention, the drawing module is specifically configured to:
drawing a target travel grid in the grid map layer according to the target travel grid information corresponding to the hot parking area without the parking point, so as to obtain a parking point planning layer;
and merging the parking point planning map layer and the plane map to obtain a parking point planning map.
A third aspect of the present invention provides a parking spot planning apparatus, comprising: a memory and at least one processor, the memory having stored therein a computer program; the at least one processor calls the computer program in the memory to cause the planning apparatus of the parking spot to perform the above-mentioned parking spot planning method.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein a computer program which, when run on a computer, causes the computer to execute the above-described method of parking spot planning.
In the technical scheme provided by the invention, a parking point planning request is received, and the travel data of the non-motor vehicle is obtained through the parking point planning request, wherein the travel data comprises a starting point coordinate and an end point coordinate; rasterizing a preset planar map to obtain a grid map layer, and converting the starting point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information; performing aggregation processing on the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle; obtaining original parking point data, and comparing the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area without the parking point; and drawing a map of the target parking point according to the hot door parking area without the parking point to obtain a parking point planned map. According to the embodiment of the invention, the travel data of the non-motor vehicle is obtained, the start point coordinates and the end point coordinates in the travel data are aggregated into the plane map to generate the parking thermodynamic diagram of the non-motor vehicle, and the hot parking area of the unplanned parking point is obtained by comparing the original parking point data with the original parking point data, so that the parking point planning map of the hot parking area is generated.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a method for planning a parking spot according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of a parking spot planning method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an embodiment of a parking spot planning apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another embodiment of a parking spot planning apparatus according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a parking spot planning apparatus according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a device, equipment and a storage medium for planning a parking point, which are used for improving the accuracy of parking point planning.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Moreover, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It can be understood that the execution subject of the present invention may be a planning apparatus for a parking spot, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
For convenience of understanding, a specific flow of an embodiment of the present invention is described below, and referring to fig. 1, an embodiment of a method for planning a parking spot in an embodiment of the present invention includes:
101. receiving a parking point planning request, and acquiring travel data of the non-motor vehicle through the parking point planning request, wherein the travel data comprises a starting point coordinate and a finishing point coordinate;
it should be noted that, in order to more reasonably plan the parking spots of the non-motor vehicles and promote the construction process of the smart city, the travel data of the non-motor vehicles are obtained through a big data algorithm, wherein the travel data sources of the non-motor vehicles comprise non-motor vehicle travel big data provided by a shared bicycle platform, an internet map platform and a transportation platform.
In this embodiment, the travel data of the non-motor vehicle includes a start point coordinate, an end point coordinate, a departure time and an arrival time, the server obtains the travel data of the non-motor vehicle within a preset time period through the parking point planning request, such as the travel data of the non-motor vehicle within a week, or the travel data of the non-motor vehicle within a month, and the like, specifically without limitation, that is, the travel data of the non-motor vehicle is used to indicate the start point coordinate and the end point coordinate of the non-motor vehicle within the preset time period, it should be noted that both the start point coordinate and the end point coordinate include a plurality of coordinate information, the travel data provides data support for subsequent parking point planning, and the accuracy of parking point planning can be improved by using massive travel data.
102. Rasterizing a preset planar map to obtain a raster map layer, and converting a start point coordinate and an end point coordinate into a raster coordinate according to the raster map layer to obtain travel raster coordinate information;
it should be noted that, because the planar map is in a data expression form in which a basic voxel (private) describes a shape and an image, and is high in complexity in data processing, in order to improve data processing efficiency, the server divides the planar map of the two-dimensional plane in a grid mosaic form to obtain a grid map layer, so that the computability of the map is improved, complex planar graphic data is simplified, and the efficiency of subsequent parking spot planning is improved.
In this embodiment, according to the accuracy requirement of parking spot planning, the server performs rasterization and segmentation on a preset planar map through a preset geographic space analysis script turf to obtain a grid map layer, and converts a start point coordinate and an end point coordinate in a planar coordinate form into grid coordinates according to the association relationship between each grid coordinate and the planar coordinate in the grid map layer to obtain stroke grid coordinate information, where the stroke grid coordinate information is used to indicate the grid coordinate corresponding to each start point coordinate or end point coordinate. According to the method and the device, the grid processing can be rapidly carried out on the plane map, and then the parking point planning efficiency is improved.
103. Carrying out aggregation processing on the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
it should be noted that, in order to reasonably plan the parking spots of the non-motor vehicles in the hot-door parking areas, the server identifies the hot-door parking areas in the plane map by drawing the parking thermodynamic diagrams of the non-motor vehicles, specifically, the server synthesizes a script through the preset thermodynamic diagrams, and calculates a thermal force value of each grid in the travel grid coordinate information, wherein the thermal force value is used for indicating a color value of the corresponding grid in the preset thermal palette, for example, if "# 00ff 00" in the preset thermal palette indicates a weakest thermal force value and "# 00 ffff" indicates a strongest thermal force value, then the thermal force of one grid may be any one color value in "# 00ff 00" - "00 ffff", which is not limited in particular, and the present embodiment can quickly generate the parking spots of the non-motor vehicles, thereby improving the efficiency of subsequent parking spot planning.
In this embodiment, the thermal value of each grid includes a color value of the corresponding grid in a preset thermal palette, and also includes a transparency value of the corresponding grid, the server calculates the transparency value corresponding to each grid after determining the strongest thermal value and the weakest thermal value according to the thermal value of each grid, and the server superimposes the color values according to the transparency value corresponding to each grid when performing aggregation processing on the grid map layer and the stroke grid coordinate information, so as to obtain the parking thermodynamic diagram of the non-motor vehicle. According to the embodiment, the color values corresponding to each grid in the parking thermodynamic diagram can not be mutually covered, but the mutual superimposed thermodynamic effect is achieved, and the hot door parking area is more intuitively displayed in the parking thermodynamic diagram.
104. Obtaining original parking point data, and comparing the original parking point data with a parking thermodynamic diagram to obtain a hot door parking area without the parking point;
in this embodiment, in order to avoid repeated planning of the parking points of the non-motor vehicles, the server obtains original parking point data corresponding to the planned parking points through the shared bicycle platform, the internet map platform and/or the transportation platform, and compares the original parking point data with the hot parking area in the parking thermodynamic diagram to obtain the hot parking area without the parking points. The method and the device can identify the position information of unplanned parking points in the parking thermodynamic diagram, and provide data support for subsequent parking point planning.
In this embodiment, the original parking point data is used to indicate coordinate information of the original parking point in the plane map, and after the server obtains the original parking point data, the server further converts the coordinate information in the original parking point data into grid coordinate information in a grid map layer to obtain original grid coordinate information. And the server extracts a hot door parking area according to the heat value of each grid in the parking thermodynamic diagram, and compares the original grid coordinate information with the hot door parking area to obtain target grid coordinate information which does not contain the original grid coordinate information in the hot door parking area, wherein the target grid coordinate information is used for indicating the hot door parking area without the parking point. The hot door parking area without the parking points can be identified in the hot door parking area, so that the parking point planning can be carried out according to the hot door parking area subsequently.
105. And drawing a map of the target parking point according to the hot parking area without the parking point to obtain a parking point planned map.
In the embodiment, after the hot-door parking area without the parking point is obtained, the server draws the target parking point in the grid map layer to obtain the parking point planning layer, and then projects the parking point planning layer into the plane map to obtain the parking point planning map. The method and the device can plan the range of the parking points in the plane map, and improve data reference for offline construction of the parking points.
Further, the server stores the parking point plan map in a block chain database, which is not limited herein.
According to the embodiment of the invention, the travel data of the non-motor vehicle is obtained, the start point coordinates and the end point coordinates in the travel data are aggregated into the plane map to generate the parking thermodynamic diagram of the non-motor vehicle, and the hot parking area of the unplanned parking point is obtained by comparing the original parking point data with the original parking point data, so that the parking point planning map of the hot parking area is generated. This scheme can be applied to in the smart city field to promote smart city's construction.
Referring to fig. 2, another embodiment of the method for planning a parking spot according to the embodiment of the present invention includes:
201. receiving a parking point planning request, and acquiring travel data of the non-motor vehicle through the parking point planning request, wherein the travel data comprises a starting point coordinate and a finishing point coordinate;
specifically, the server receives a parking point planning request and extracts an identity identifier in the parking point planning request; the server carries out authority authentication on the identity identification in the parking point planning request to obtain an authority authentication result; and if the authority authentication result indicates that the identity identification has the data acquisition authority of the target shared bicycle platform, the server acquires the starting point coordinate and the end point coordinate of the non-motor vehicle from the target shared bicycle platform to obtain the travel data.
In this embodiment, in order to improve the security of the travel data, after receiving the parking point planning request, the server extracts the identity identifier in the parking point planning request, where the identity identifier may be account information of the request terminal or may be requester identity information of the request terminal, and is not specifically limited, and the server searches the authority information corresponding to the identity identifier from the preset authority table to obtain the authority authentication result, and if the authority authentication result indicates that the identity identifier has the data acquisition authority of the target shared bicycle platform, the server acquires the travel data of the non-motor vehicle from the target shared bicycle platform through the preset data acquisition script, and extracts a start point coordinate and an end point coordinate in the travel data.
202. Rasterizing a preset planar map to obtain a grid map layer, and converting a start point coordinate and an end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information;
specifically, the server acquires a preset plane map and reads longitude and latitude coordinate information corresponding to the plane map; the method comprises the following steps that a server carries out pixel grid segmentation on longitude and latitude coordinate information in a plane map according to a cell with a preset size to obtain a grid map layer, wherein the grid map layer is used for indicating the corresponding relation between the longitude and latitude coordinate information and pixel grid coordinate information; and the server maps the start point coordinate and the end point coordinate into a pixel grid coordinate according to the corresponding relation between the latitude coordinate information and the pixel grid coordinate information in the grid map layer to obtain the travel grid coordinate information.
In this embodiment, because the longitude and latitude coordinate information included in the planar map is difficult to perform thermodynamic diagram drawing, after the latitude and longitude coordinate information corresponding to the planar map is read by the server, the planar map is subjected to pixel grid division according to the unit grids with preset sizes to obtain a grid map layer, and if the unit grids with preset sizes are the unit grids with the size of 10m × 10m, the planar map is divided into the pixel grids composed of the unit grids with the size of 10m × 10m according to the longitude and latitude coordinate information, and each pixel corresponds to one unit grid, so that the grid map layer is obtained. And the server maps the start point coordinate and the end point coordinate in the travel data to the corresponding pixel grid in the grid map layer according to the corresponding relation between the latitude coordinate information and the pixel grid coordinate information in the grid map layer to obtain travel grid coordinate information, wherein the travel grid coordinate information is used for indicating the grid information of the start point coordinate or the end point coordinate in the grid map layer. According to the embodiment, the map segmentation precision (cell size) can be flexibly set according to specific requirements, so that the parking spot can be more flexibly planned.
203. Carrying out coordinate repetition frequency statistics on the travel grid coordinate information to obtain a maximum heat value with the maximum repetition frequency and a minimum heat value with the minimum repetition frequency;
in the embodiment, the thermodynamic diagram is used for indicating the relative hot degree of the parking point, so that the server performs coordinate repetition frequency statistics on the travel grid coordinate information to obtain a maximum repetition frequency value and a minimum repetition frequency value, sets the maximum repetition frequency value as a maximum heat value, and sets the minimum repetition frequency value as a minimum heat value.
204. Setting a color rendering proportion value according to the maximum heat force value and the minimum heat force value, and calculating a heat force intensity value corresponding to each travel grid in the travel grid coordinate information according to the color rendering proportion value;
in this embodiment, for the thermodynamic strength values corresponding to different thermal force values, the server determines a color rendering ratio value according to the thermodynamic ranges indicated by the maximum thermal force value and the minimum thermodynamic value, and then calculates the thermodynamic strength value corresponding to each stroke grid in the stroke grid coordinate information according to the color rendering ratio value, for example, the maximum thermal force value is 10, the minimum thermodynamic value is 1, then the color rendering ratio value is 1/10, if the thermal force value corresponding to a certain stroke grid is 5, the thermodynamic strength value corresponding to the stroke grid is 5/10 ═ 0.5, the thermodynamic strength value is used for rendering the color value of each subsequent stroke grid, and the rendering efficiency of the parking thermodynamic diagram can be improved.
205. According to the corresponding thermal strength value of each travel grid, performing color rendering on each travel grid in the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
specifically, the server sets a thermal palette according to the thermal strength value corresponding to each stroke grid, and the thermal palette is used for indicating the linear gradient color value corresponding to the thermal strength value corresponding to each stroke grid; the server calculates the thermal color value corresponding to each stroke grid in the stroke grid coordinate information according to the thermal palette of each stroke grid; and the server draws the color of each stroke grid in the stroke grid coordinate information based on the thermal color value corresponding to each stroke grid to obtain the parking thermodynamic diagram of the non-motor vehicle.
In this embodiment, the server sets a thermal palette according to a thermal range indicated by a maximum thermal value and a minimum thermal value, where the thermal palette includes a start color value and an end color value, the thermal palette is used to indicate a linear gradient color value corresponding to a thermal intensity value corresponding to each stroke grid, and the server calculates the thermal color value corresponding to each stroke grid in the stroke grid coordinate information according to the thermal palette of each stroke grid, for example, the start color value corresponding to the minimum thermal value is "# 00ff 00", the end color value corresponding to the maximum thermal value is "# 00 ffff", and if the thermal intensity value corresponding to one of the stroke grids is 0.5, the thermal color value of the stroke grid is a median value between the start color value and the end color value, that is, "# 00ff 88", which is not specifically limited. And the server performs color drawing on each travel grid according to the thermal color value corresponding to each travel grid, so as to obtain the parking thermodynamic diagram of the non-motor vehicle. The embodiment can accurately calculate the heat value of each grid, thereby improving the accuracy of the parking point planning.
206. Obtaining original parking point data, and comparing the original parking point data with a parking thermodynamic diagram to obtain a hot door parking area without the parking point;
specifically, the server extracts initial stroke grid information in the grid map layer according to the thermal color value of each stroke grid in the parking thermodynamic diagram, wherein the initial stroke grid information is used for indicating that the thermal color value is larger than a preset color value threshold; the method comprises the steps that a server obtains original parking point data and projects the original parking point data into a grid map layer to obtain original parking point grid information corresponding to the original parking point data; and the server compares the initial stroke grid information with the original parking point grid information to obtain target stroke grid information without the parking point, and determines a hot door parking area without the parking point according to the target stroke grid information without the parking point.
In the embodiment, in order to identify a hot door parking area without a parking point from a parking thermodynamic diagram, a server judges whether a thermodynamic color value of each travel grid is greater than a preset color value threshold value, and extracts grid information in which a thermodynamic color value in a grid map layer is greater than the preset color value threshold value to obtain initial travel grid information, wherein the initial travel grid information is used for indicating the hot door parking area. The embodiment can effectively avoid repeated planning of the parking points, thereby improving the planning efficiency of the non-motor vehicle parking points.
207. And drawing a map of the target parking point according to the hot parking area without the parking point to obtain a parking point planned map.
Specifically, the server draws a target travel grid in a grid map layer according to target travel grid information corresponding to a hot parking area without a parking point, so as to obtain a parking point planning layer; and the server combines the parking point planning map layer with the plane map to obtain the parking point planning map.
In this embodiment, after obtaining the target trip grid information, the server renders the target trip grid information into a grid map layer to obtain a parking point planning layer, and projects the parking point planning layer into a plane map to obtain a synthetic map, i.e., a parking point planning map. The method and the device can quickly draw the planned parking points into the plane map, so that the planned parking point map can intuitively reflect the areas of the parking points to be planned.
In the embodiment of the invention, the parking thermodynamic diagram is generated according to the thermodynamic strength value by acquiring the travel data of the non-motor vehicle, aggregating the starting point coordinates and the end point coordinates in the travel data into the plane map, determining the thermodynamic color value according to the thermodynamic strength value and the thermodynamic color value, and then obtaining the hot door parking area of the unplanned parking point by comparing with the original parking point data, thereby generating the parking point planning map of the hot door parking area. This scheme can be applied to in the smart city field to promote smart city's construction.
With reference to fig. 3, the method for planning a parking spot in the embodiment of the present invention is described above, and a device for planning a parking spot in the embodiment of the present invention is described below, where an embodiment of the device for planning a parking spot in the embodiment of the present invention includes:
the receiving module 301 is configured to receive a parking point planning request, and obtain travel data of the non-motor vehicle through the parking point planning request, where the travel data includes a start point coordinate and an end point coordinate;
the conversion module 302 is configured to perform rasterization processing on a preset planar map to obtain a grid map layer, and convert the start point coordinate and the end point coordinate into a grid coordinate according to the grid map layer to obtain travel grid coordinate information;
the aggregation module 303 is configured to aggregate the grid map layer and the trip grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
the comparison module 304 is configured to obtain original parking point data, and compare the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area where no parking point is set;
and the drawing module 305 is configured to perform map drawing on the target parking point according to the hot parking area without the parking point, so as to obtain a planned parking point map.
Further, the parking point plan map is stored in the block chain database, which is not limited herein.
According to the embodiment of the invention, the travel data of the non-motor vehicle is obtained, the start point coordinates and the end point coordinates in the travel data are aggregated into the plane map to generate the parking thermodynamic diagram of the non-motor vehicle, and the hot parking area of the unplanned parking point is obtained by comparing the original parking point data with the original parking point data, so that the parking point planning map of the hot parking area is generated. This scheme can be applied to in the smart city field to promote smart city's construction.
Referring to fig. 4, another embodiment of the parking spot planning apparatus according to the embodiment of the present invention includes:
the receiving module 301 is configured to receive a parking spot planning request, and obtain travel data of the non-motor vehicle through the parking spot planning request, where the travel data includes a start point coordinate and an end point coordinate;
the conversion module 302 is configured to perform rasterization processing on a preset planar map to obtain a grid map layer, and convert the start point coordinate and the end point coordinate into a grid coordinate according to the grid map layer to obtain travel grid coordinate information;
the aggregation module 303 is configured to aggregate the grid map layer and the trip grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
the comparison module 304 is configured to obtain original parking point data, and compare the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area where no parking point is set;
and the drawing module 305 is configured to perform map drawing on the target parking point according to the hot parking area without the parking point, so as to obtain a planned parking point map.
Optionally, the receiving module 301 is specifically configured to:
receiving a parking point planning request, and extracting an identity identifier in the parking point planning request;
performing authority authentication on the identity identifier in the parking point planning request to obtain an authority authentication result;
and if the authority authentication result indicates that the identity identification has the data acquisition authority of the target shared bicycle platform, acquiring the starting point coordinate and the end point coordinate of the non-motor vehicle from the target shared bicycle platform to obtain the travel data.
Optionally, the conversion module 302 is specifically configured to:
acquiring a preset plane map, and reading longitude and latitude coordinate information corresponding to the plane map;
performing pixel grid segmentation on longitude and latitude coordinate information in the planar map according to a cell with a preset size to obtain a grid map layer, wherein the grid map layer is used for indicating the corresponding relation between the longitude and latitude coordinate information and the pixel grid coordinate information;
and mapping the start point coordinate and the end point coordinate into a pixel grid coordinate according to the corresponding relation between the latitude coordinate information and the pixel grid coordinate information in the grid map layer to obtain the travel grid coordinate information.
Optionally, the aggregation module 303 includes:
a counting unit 3031, configured to perform coordinate repetition number counting on the stroke grid coordinate information to obtain a maximum thermal force value with the maximum repetition number and a minimum thermal force value with the minimum repetition number;
a setting unit 3032, configured to set a color rendering ratio value according to the maximum heat force value and the minimum heat force value, and calculate a heat force intensity value corresponding to each travel grid in the travel grid coordinate information according to the color rendering ratio value;
and a rendering unit 3033, configured to perform color rendering on each travel grid in the travel grid coordinate information according to the corresponding thermal intensity value of each travel grid, so as to obtain a parking thermodynamic diagram of the non-motor vehicle.
Optionally, the rendering unit 3033 is specifically configured to:
setting a thermal palette according to the thermal strength value corresponding to each stroke grid, wherein the thermal palette is used for indicating the linear gradient color value corresponding to the thermal strength value corresponding to each stroke grid;
calculating a thermal color value corresponding to each stroke grid in the stroke grid coordinate information according to the thermal palette of each stroke grid;
and drawing the color of each stroke grid in the stroke grid coordinate information based on the thermal color value corresponding to each stroke grid to obtain the parking thermodynamic diagram of the non-motor vehicle.
Optionally, the alignment module 304 is specifically configured to:
extracting initial stroke grid information in the grid map layer according to the thermal color value of each stroke grid in the parking thermodynamic diagram, wherein the initial stroke grid information is used for indicating that the thermal color value is larger than a preset color value threshold;
obtaining original parking point data, and projecting the original parking point data into the grid map layer to obtain original parking point grid information corresponding to the original parking point data;
and comparing the initial travel grid information with the original parking point grid information to obtain target travel grid information without parking points, and determining a hot door parking area without parking points according to the target travel grid information without parking points.
Optionally, the drawing module 305 is specifically configured to:
drawing a target travel grid in the grid map layer according to the target travel grid information corresponding to the hot parking area without the parking point, so as to obtain a parking point planning layer;
and merging the parking point planning map layer and the plane map to obtain a parking point planning map.
In the embodiment of the invention, the parking thermodynamic diagram is generated according to the thermodynamic strength value by acquiring the travel data of the non-motor vehicle, aggregating the starting point coordinates and the end point coordinates in the travel data into the plane map, determining the thermodynamic color value according to the thermodynamic strength value and the thermodynamic color value, and then obtaining the hot door parking area of the unplanned parking point by comparing with the original parking point data, thereby generating the parking point planning map of the hot door parking area. This scheme can be applied to in the smart city field to promote smart city's construction.
Fig. 3 and 4 describe the parking spot planning apparatus in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the parking spot planning apparatus in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 5 is a schematic structural diagram of a parking spot planning apparatus 500 according to an embodiment of the present invention, which may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) for storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of computer program operations in the planning apparatus 500 for a parking spot. Still further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of computer program operations in the storage medium 530 on the planning device 500 at the parking spot.
The planning device 500 for a docking station may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, and the like. It will be appreciated by those skilled in the art that the parking spot planning apparatus configuration shown in fig. 5 does not constitute a limitation of the parking spot planning apparatus and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
The present invention also provides a computer device comprising a memory and a processor, the memory having stored therein a computer readable computer program, which, when executed by the processor, causes the processor to perform the steps of the method for planning a parking spot in the above embodiments.
The invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, which may also be a volatile computer-readable storage medium, having stored thereon a computer program which, when run on a computer, causes the computer to carry out the steps of the method for planning a parking spot.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit 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 invention may be embodied in the form of a software product, which is stored in a storage medium and includes several computer programs to enable 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 invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for planning a parking spot, the method comprising:
receiving a parking point planning request, and acquiring travel data of the non-motor vehicle through the parking point planning request, wherein the travel data comprises a starting point coordinate and a terminal point coordinate;
rasterizing a preset planar map to obtain a grid map layer, and converting the starting point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information;
performing aggregation processing on the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
obtaining original parking point data, and comparing the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area without the parking point;
and drawing a map of the target parking point according to the hot door parking area without the parking point to obtain a parking point planned map.
2. The method for parking spot planning as claimed in claim 1, wherein said receiving a parking spot planning request and obtaining travel data of a non-motor vehicle through the parking spot planning request, the travel data comprising start point coordinates and end point coordinates, comprises:
receiving a parking point planning request, and extracting an identity identifier in the parking point planning request;
performing authority authentication on the identity identifier in the parking point planning request to obtain an authority authentication result;
and if the authority authentication result indicates that the identity identification has the data acquisition authority of the target shared bicycle platform, acquiring the starting point coordinate and the end point coordinate of the non-motor vehicle from the target shared bicycle platform to obtain the travel data.
3. The method for planning a parking spot according to claim 1, wherein the rasterizing a preset planar map to obtain a grid map layer, and converting the start point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information includes:
acquiring a preset plane map, and reading longitude and latitude coordinate information corresponding to the plane map;
performing pixel grid segmentation on longitude and latitude coordinate information in the planar map according to a cell with a preset size to obtain a grid map layer, wherein the grid map layer is used for indicating the corresponding relation between the longitude and latitude coordinate information and the pixel grid coordinate information;
and mapping the start point coordinate and the end point coordinate into a pixel grid coordinate according to the corresponding relation between the latitude coordinate information and the pixel grid coordinate information in the grid map layer to obtain the travel grid coordinate information.
4. The method for planning a parking spot according to claim 1, wherein the aggregating the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle includes:
carrying out coordinate repetition frequency statistics on the travel grid coordinate information to obtain a maximum heat value with the maximum repetition frequency and a minimum heat value with the minimum repetition frequency;
setting a color rendering proportion value according to the maximum heat force value and the minimum heat force value, and calculating a heat force intensity value corresponding to each travel grid in the travel grid coordinate information according to the color rendering proportion value;
and according to the corresponding thermal strength value of each travel grid, performing color rendering on each travel grid in the travel grid coordinate information to obtain the parking thermodynamic diagram of the non-motor vehicle.
5. The method for planning a parking spot according to claim 4, wherein the step of performing color rendering on each travel grid in the travel grid coordinate information according to the corresponding thermal strength value of each travel grid to obtain a parking thermodynamic diagram of the non-motor vehicle comprises:
setting a thermal palette according to the corresponding thermal strength value of each stroke grid, wherein the thermal palette is used for indicating the linear gradient color value corresponding to the corresponding thermal strength value of each stroke grid;
calculating a thermal color value corresponding to each stroke grid in the stroke grid coordinate information according to the thermal palette of each stroke grid;
and drawing the color of each stroke grid in the stroke grid coordinate information based on the thermal color value corresponding to each stroke grid to obtain the parking thermodynamic diagram of the non-motor vehicle.
6. The method for planning a parking spot according to any one of claims 1 to 5, wherein the obtaining of the original parking spot data and the comparing of the original parking spot data with the parking thermodynamic diagram to obtain a hot parking area without a parking spot comprises:
extracting initial stroke grid information in the grid map layer according to the thermal color value of each stroke grid in the parking thermodynamic diagram, wherein the initial stroke grid information is used for indicating that the thermal color value is larger than a preset color value threshold;
obtaining original parking point data, and projecting the original parking point data into the grid map layer to obtain original parking point grid information corresponding to the original parking point data;
and comparing the initial travel grid information with the original parking point grid information to obtain target travel grid information without parking points, and determining a hot door parking area without parking points according to the target travel grid information without parking points.
7. The method for planning a parking spot according to claim 6, wherein the step of performing a map drawing of a target parking spot according to the hot parking area without a parking spot to obtain a parking spot planning map comprises:
drawing a target travel grid in the grid map layer according to the target travel grid information corresponding to the hot parking area without the parking point, so as to obtain a parking point planning layer;
and merging the parking point planning map layer and the plane map to obtain a parking point planning map.
8. A parking spot planning apparatus, comprising:
the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving a parking point planning request and acquiring the travel data of the non-motor vehicle through the parking point planning request, and the travel data comprises a starting point coordinate and an end point coordinate;
the conversion module is used for rasterizing a preset planar map to obtain a grid map layer, and converting the starting point coordinate and the end point coordinate into grid coordinates according to the grid map layer to obtain travel grid coordinate information;
the aggregation module is used for aggregating the grid map layer and the travel grid coordinate information to obtain a parking thermodynamic diagram of the non-motor vehicle;
the comparison module is used for acquiring original parking point data and comparing the original parking point data with the parking thermodynamic diagram to obtain a hot door parking area without a parking point;
and the drawing module is used for drawing a map of the target parking point according to the hot parking area without the parking point to obtain a parking point planned map.
9. A parking spot planning apparatus, characterized in that the parking spot planning apparatus comprises: a memory and at least one processor, the memory having stored therein a computer program;
the at least one processor calls the computer program in the memory to cause the planning apparatus of parking spots to perform the method of planning parking spots according to any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method for planning a parking spot according to any one of claims 1 to 7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107944618A (en) * | 2017-11-20 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Planing method of layouting, device and the electronic equipment of shared vehicle |
| CN110033176A (en) * | 2019-03-26 | 2019-07-19 | 武汉大学 | Shared bicycle space-time big data mining analysis method and device |
| CN110675728A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Generation method, device and equipment of thermodynamic diagram and computer readable storage medium |
| CN110969291A (en) * | 2019-11-21 | 2020-04-07 | 上海钧正网络科技有限公司 | Shared vehicle path planning method and device, computer equipment and storage medium |
| CN112598802A (en) * | 2020-12-29 | 2021-04-02 | 武汉中海庭数据技术有限公司 | Thermodynamic diagram generation method and system based on crowdsourcing data |
| CN113706200A (en) * | 2021-08-30 | 2021-11-26 | 连尚(北京)网络科技有限公司 | Method, apparatus, medium, and program product for determining a bicycle dispatch plan |
-
2022
- 2022-02-16 CN CN202210140835.1A patent/CN114528361A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107944618A (en) * | 2017-11-20 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Planing method of layouting, device and the electronic equipment of shared vehicle |
| CN110675728A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Generation method, device and equipment of thermodynamic diagram and computer readable storage medium |
| CN110033176A (en) * | 2019-03-26 | 2019-07-19 | 武汉大学 | Shared bicycle space-time big data mining analysis method and device |
| CN110969291A (en) * | 2019-11-21 | 2020-04-07 | 上海钧正网络科技有限公司 | Shared vehicle path planning method and device, computer equipment and storage medium |
| CN112598802A (en) * | 2020-12-29 | 2021-04-02 | 武汉中海庭数据技术有限公司 | Thermodynamic diagram generation method and system based on crowdsourcing data |
| CN113706200A (en) * | 2021-08-30 | 2021-11-26 | 连尚(北京)网络科技有限公司 | Method, apparatus, medium, and program product for determining a bicycle dispatch plan |
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