CN113709006A - Flow determination method and device, storage medium and electronic device - Google Patents
Flow determination method and device, storage medium and electronic device Download PDFInfo
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- CN113709006A CN113709006A CN202111267633.5A CN202111267633A CN113709006A CN 113709006 A CN113709006 A CN 113709006A CN 202111267633 A CN202111267633 A CN 202111267633A CN 113709006 A CN113709006 A CN 113709006A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
Abstract
The embodiment of the invention provides a flow determination method and device, a storage medium and an electronic device, and relates to the technical field of intelligent traffic technologies. The method comprises the following steps: acquiring target information of a target object area; determining a buffer area of the target object area based on the attribute information of the target object area; determining intersection region information of the buffer region and a target region according to the buffer region; and determining the flow data of the buffer area based on the flow information of the target area and the intersection area information. By the method and the device, the problem of low regional flow determination precision is solved, and the effect of improving the flow determination precision and efficiency is achieved.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to a flow determination method, a flow determination device, a storage medium and an electronic device.
Background
With the popularization of network spatial information, people no longer satisfy simple spatial information query, and hope to further perform various spatial analyses.
For example, in the process of calculating the regional pedestrian volume by using the GIS, the GIS has a high requirement on the precision of spatial data, and the vector map has a large number of object units in each layer of a point, a line and a plane, so that the data volume is large. In the existing commercialized software, the processing efficiency is still too low for complex map analysis, and the requirement of spatial information online analysis cannot be met.
No effective solution is currently proposed to the above problems.
Disclosure of Invention
The embodiment of the invention provides a flow determination method, a flow determination device, a storage medium and an electronic device, which are used for at least solving the problem of low regional flow determination precision in the related technology.
According to an embodiment of the present invention, there is provided a traffic determination method including:
acquiring target information of a target object area, wherein the target information comprises attribute information of the target object area;
determining a buffer area of the target object area based on the attribute information of the target object area, wherein the buffer area is used for indicating a neighborhood range of the target object area;
determining intersection region information of the buffer region and a target region according to the buffer region;
determining traffic data of the buffer area based on the traffic information of the target area and the intersection area information, wherein the traffic information includes first traffic data of the target area.
In an exemplary embodiment, the determining the buffer area of the target object area based on the attribute information of the target object area includes:
determining a type of the target object region based on the attribute information;
under the condition that the target object area is determined to be of the first type, acquiring endpoint information of the target object area, wherein the endpoint information comprises endpoint label values of the target object area, and the endpoint label values are sequentially determined according to a preset sequence;
determining a first label difference value between a first endpoint and a second endpoint according to the endpoint label value, wherein the first endpoint is any endpoint included in the target object region, the second endpoint is any endpoint included in the target object region except the first endpoint, and the label value of the first endpoint is smaller than that of the second endpoint;
determining a first region between a first endpoint and a second endpoint according to the first endpoint and the second endpoint when the first index difference is equal to a first threshold;
and taking the first area as the buffer area.
In an exemplary embodiment, after determining the first index difference between the first endpoint and the second endpoint according to the endpoint index value, the method further comprises:
in the event that it is determined that the absolute value of the first index difference is greater than a first threshold, performing a first operation:
determining a second label difference value of the first endpoint and a third endpoint, wherein the third endpoint is any endpoint between the first endpoint and the second endpoint; determining a second region between the first endpoint and the third endpoint if the second index difference is equal to the first threshold; taking the second area as the buffer area;
performing the first operation if the absolute value of the second index difference is determined to be greater than a first threshold.
In an exemplary embodiment, the determining the type of the target object region based on the attribute information further includes:
under the condition that the target object area is determined to be of the second type, determining a third area by taking the target object area as a circle center and taking the target distance as a radius;
and taking the third area as the buffer area.
In an exemplary embodiment, the determining the type of the target object region based on the attribute information further includes:
determining a fourth region from a boundary of the target object region to an inside or an outside of the target object region in a predetermined direction in a case where the target object region is determined to be of a third type;
and taking the fourth area as the buffer area.
In an exemplary embodiment, the determining traffic data of the buffer area based on the traffic information of the target area and the intersection area information includes:
determining an area ratio of the target region to the buffer region based on the intersection region information;
determining the flow data based on the area ratio and the flow information.
According to another embodiment of the present invention, there is provided a flow rate determination apparatus including:
the information acquisition module is used for acquiring target information of a target object area, wherein the target information comprises attribute information of the target object area;
a region determining module, configured to determine a buffer region of the target object region based on attribute information of the target object region, where the buffer region is used to indicate a neighborhood range of the target object region;
the information determining module is used for determining intersection region information of the buffer region and the target region according to the buffer region;
a traffic determination module, configured to determine traffic data of the buffer area based on traffic information of the target area and the intersection area information, where the traffic information includes first traffic data of the target area.
In one exemplary embodiment, the region determining module includes:
a type determination unit configured to determine a type of the target object region based on the attribute information;
the endpoint determining unit is used for acquiring endpoint information of the target object area under the condition that the target object area is determined to be of a first type, wherein the endpoint information comprises endpoint label values of the target object area, and the endpoint label values are sequentially determined according to a preset sequence;
a first difference determining unit, configured to determine a first label difference between a first endpoint and a second endpoint according to the endpoint label value, where the first endpoint is any endpoint included in the target object region, the second endpoint is any endpoint included in the target object region except the first endpoint, and the label value of the first endpoint is smaller than the label value of the second endpoint;
a first area determination unit, configured to determine, when the first label difference is equal to a first threshold, a first area between a first endpoint and a second endpoint according to the first endpoint and the second endpoint;
a first buffer determination unit configured to take the first area as the buffer area.
According to a further embodiment of the present invention, there is also provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the monitored range of the flow is enlarged by determining the buffer area of the target object area, so that the flow information of the target object area in different areas can be more accurately determined, and errors caused in the process of carrying out space analysis on traditional proper amount data and grid data are avoided, therefore, the problem of low accuracy of determining the area flow can be solved, and the effects of improving the accuracy and efficiency of determining the area flow are achieved.
Drawings
Fig. 1 is a block diagram of a hardware structure of a mobile terminal of a traffic determination method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of traffic determination according to an embodiment of the present invention;
fig. 3 is a block diagram of a flow rate determination device according to an embodiment of the present invention;
FIG. 4 is a schematic illustration of types of target object regions in accordance with a specific embodiment of the present invention;
FIG. 5 is a diagram of an algorithm structure according to a specific embodiment of the present invention;
FIG. 6 is a diagram of buffer types, according to an embodiment of the present invention;
FIG. 7 is a prior art concept diagram one according to a specific embodiment of the present invention;
FIG. 8 is a prior art implementation drawing one in accordance with an exemplary embodiment of the present invention;
FIG. 9 is a schematic illustration of a second embodiment in accordance with the present invention;
FIG. 10 is a diagram of a second implementation in accordance with an exemplary embodiment of the present invention;
FIG. 11 is a graph of implementation results according to an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking an example of the method running on a mobile terminal, fig. 1 is a block diagram of a hardware structure of the mobile terminal of a traffic determination method according to an embodiment of the present invention. As shown in fig. 1, the mobile terminal may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program and a module of an application software, such as a computer program corresponding to the flow determination method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In this embodiment, a method for determining a flow rate is provided, and fig. 2 is a flowchart according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, acquiring target information of a target object area, wherein the target information comprises attribute information of the target object area;
in this embodiment, the target object region may (but is not limited to) be a line segment in the mesh image, may also be a polygonal, circular, elliptical, or sector region, and may also be other objects; the target information comprises information such as a starting point coordinate, an end point coordinate, a boundary coordinate, area information, a type of the target object area, an identification color and the like of the target object area in the grid image; the target information may be obtained by inputting in advance, may be obtained by recognizing the mesh image according to preset requirement information, and may be obtained by other means.
For example, the name of a certain street is input in advance, and then map information is identified, so that the information of the target street is obtained; or drawing a circle by taking a certain base station as the center of the circle and the target distance as the radius, and then identifying the map information in the circle, thereby obtaining the target information taking the circle as the target object area.
Step S204, determining a buffer area of the target object area based on the attribute information of the target object area, wherein the buffer area is used for indicating the neighborhood range of the target object area;
in this embodiment, the buffer area may be an area that extends a partial distance to the outside or both sides with the target object area as the central axis or center, or may be a partial area that extends to the inside of the boundary with the target object area as the boundary, or may be an area of another type; the buffer area may be continuous or discrete, and may be a part of the extension area or the whole extension area, and correspondingly, the neighborhood range of the target object area is the extension area.
For example, when the target object region is a line segment, the partial regions are extended to both sides with the line segment of the target as the central axis; when the object is a circular object, a part of area is expanded inwards or outwards the circle by taking the circle as a boundary starting point, and the expanded part of area is the buffer area.
Step S206, determining intersection region information of the buffer region and the target region according to the buffer region;
in this embodiment, the intersection region information of the buffer region and the target region is determined to determine an area ratio between a buffer fragment region of the buffer region located in the target region and the target region, and the buffer region may have a plurality of such buffer fragment regions, so that after determining the ratios of different buffer fragment regions, the corresponding flow information may be calculated respectively.
The target area can be a grid area in a grid map, a preset area or other types of areas; the number of the target areas can be multiple or a specified number; the shape of the target area can be a polygon, a circle, a sector and the like; the intersection region information may include (but is not limited to) information such as an area ratio between the buffer fragment region and the mesh region, boundary intersections of the buffer fragment region and the mesh region, and coordinates of the boundary intersections.
For example, a buffer area with a line segment as the central axis may pass through a plurality of mesh areas, at this time, the area ratio of the buffer fragment area of the buffer area located in different mesh areas to the corresponding mesh area is calculated respectively, and the boundary point and the coordinates of the buffer random area and the corresponding mesh area are identified.
Step S208, determining traffic data of the buffer area based on the traffic information of the target area and the intersection area information, where the traffic information includes the first traffic data of the target area.
In this embodiment, when the traffic information in the mesh region may be considered to be uniformly distributed, based on the area ratio between the buffer region and the target region and the traffic information in the mesh region, the traffic information in the corresponding buffer fragment region may be determined, and then the final traffic data in the buffer region may be determined by performing weighted overlap calculation according to the traffic information in the plurality of buffer fragment regions.
The traffic information may be the people traffic information in the unit time of the target area, the people traffic information of the target area in the target time, the data traffic information in the target area, and the like; the acquisition of the traffic information of the target area may (but is not limited to) be obtained by performing traffic recording of the mobile terminal on the base station, and may also be obtained by other manners; the first traffic data may be, but is not limited to, traffic information of the buffer fragment area in the target area, and may also be other traffic information.
For example, the information traffic of the mobile terminals is recorded in the base station, and the number of the corresponding mobile terminals is determined according to the information traffic, and then the number of pedestrians (users) is determined according to the number of the mobile terminals, so as to determine the people traffic information.
Through the steps, the intersection information between the buffer area and the target area of the target object area is determined, so that the flow data of the target object area in different areas can be accurately determined, the flow information of the target object area is further determined, errors caused in the process of carrying out space analysis on traditional proper data and grid data are avoided, the problem of low flow information determination accuracy is solved, and the flow determination accuracy and efficiency are improved.
The main body of the above steps may be a base station, a terminal, etc., but is not limited thereto.
In an optional embodiment, determining the buffer area of the target object area based on the attribute information of the target object area includes:
step S2042, determining the type of the target object area based on the attribute information;
step S2044, under the condition that the target object area is determined to be of the first type, acquiring endpoint information of the target object area, wherein the endpoint information comprises endpoint label values of the target object area, and the endpoint label values are sequentially determined according to a preset sequence;
step S2046, determining a first label difference between the first endpoint and the second endpoint according to the endpoint label value, where the first endpoint is any endpoint included in the target object region, the second endpoint is any endpoint included in the target object region except the first endpoint, and the label value of the first endpoint is smaller than the label value of the second endpoint;
step S2048, under the condition that the first label difference value is equal to the first threshold value, determining a first area between the first endpoint and the second endpoint according to the first endpoint and the second endpoint;
in step S20410, the first area is used as a buffer area.
In this embodiment, when the difference value of the first index is equal to the preset value, it is described that there is no other endpoint between the first endpoint and the second endpoint, at this time, the first endpoint and the second endpoint may be considered as adjacent endpoints, and an object between the first endpoint and the second endpoint is a target object area for which the buffer area needs to be determined.
The first type target object area may be a broken line segment including a plurality of end points, and the line segment between adjacent end points may be a straight line segment or a curved line segment; the endpoint information may also (but is not limited to) include information such as the number of endpoints, coordinates, etc.; the first index difference may be, but is not limited to, the absolute value of the difference between the two endpoint index values.
For example, a long curve segment may be divided into a plurality of short curve segments, the end point index values of which are 1, 2, 3, and 4 in sequence, then when determining the buffer area, selecting end point 1 and end point 2, where the difference between the end point index values of the end point 1 and the end point 2 is 1, and is equal to a preset value 1, so that at this time, the line segment between the end point 1 and the end point 2 may be considered as the line segment that needs to determine the buffer area, and then, the line segment between the end point 1 and the end point 2 is used as the middle axis and extends for a certain distance on both sides, and the extended distance is used as the buffer area.
It should be noted that after the target line segment is determined, the buffer area of the target line segment may be determined by using an SVG buffer area visualization analysis method technology, or may be determined in other manners.
In an optional embodiment, after determining the first index difference between the first endpoint and the second endpoint according to the endpoint index value, the method further comprises:
in step S20412, in the case where it is determined that the absolute value of the first index difference is greater than the first threshold, a first operation is performed:
determining a second label difference value between the first end point and a third end point, wherein the third end point is any end point between the first end point and the second end point; determining a second region between the first endpoint and the third endpoint in the case that the second index difference is equal to the first threshold; taking the second area as a buffer area;
in step S20414, in the case where it is determined that the absolute value of the second index difference is greater than the first threshold value, a first operation is performed.
In this embodiment, when the absolute value of the first index difference is greater than the first threshold, it indicates that there may be another broken line segment between the first endpoint and the second endpoint, and thus it is necessary to further determine another broken line segment, and then determine the buffer area.
The second index difference may be an absolute value of a difference between the index value of the first endpoint and the index value of the third endpoint, or may be the difference itself.
For example, when the index of the second endpoint is 3, the absolute value of the difference of the first index between the first endpoint and the second endpoint is greater than the first preset value 1, which indicates that there are other endpoints between the first endpoint and the second endpoint, so that the endpoint with the index of 2 is selected as the third endpoint, and the difference of the second index between the first endpoint and the second endpoint is less than 1, so that the line segment between the first endpoint and the third endpoint can be said to be the target line segment, and then the buffer area of the line segment is determined; correspondingly, when the reference numeral of the second end point is 4 and the reference numeral of the third end point is 3, it means that there are other broken line segments between the first end point and the third end point, and thus the aforementioned operations need to be repeated.
In an optional embodiment, determining the type of the target object region based on the attribute information further comprises:
step S20416, determining a third area with the target object area as a circle center and the target distance as a radius under the condition that the target object area is determined to be of the second type;
in step S20418, the third area is set as a buffer area.
In this embodiment, the second type may be a base station or a single point, and a buffer area of a circular area is constructed around the base station or the single point to obtain a maximum buffer range.
In an optional embodiment, determining the type of the target object region based on the attribute information further comprises:
step S20420, in the case where the target object region is determined to be of the third type, determining a fourth region from the boundary of the target object region toward the inside or outside of the target object region in the predetermined direction;
in step S20422, the fourth area is set as a buffer area.
In this embodiment, when the target object region is a predetermined region, the boundary of the predetermined region is used as a central axis region and extends a predetermined distance inside or outside the central axis region to construct a buffer region.
In an optional embodiment, determining the traffic data of the buffer area based on the traffic information of the target area and the intersection area information includes:
step S2082, based on the intersection region information, determining the area ratio of the target region and the buffer region;
step S2084, flow data is determined based on the area ratio and the flow information.
In this embodiment, in the case that the target region is the one obtained by the GIS tesson area analysis method , the flow information in the region can be seen as being uniformly distributed in groups, so that by determining the area ratio of the target region to the buffer region, the ratio of the flow information of the buffer region to the flow information of the target region can be determined, and the flow information of the buffer region can be determined.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, a flow rate determining apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and the description already made is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a block diagram of a flow rate determination device according to an embodiment of the present invention, and as shown in fig. 3, the device includes:
the information acquisition module 32 is configured to acquire target information of a target object region, where the target information includes attribute information of the target object region;
a region determining module 34, configured to determine a buffer region of the target object region based on the attribute information of the target object region, where the buffer region is used to indicate a neighborhood range of the target object region;
an information determining module 36, configured to determine intersection region information between the buffer region and the target region according to the buffer region;
and a traffic determining module 38, configured to determine traffic data of the buffer area based on traffic information of the target area and intersection area information, where the traffic information includes first traffic data of the target area.
In an alternative embodiment, the region determination module 34 includes:
a type determining unit 342 for determining a type of the target object region based on the attribute information;
an endpoint determining unit 344, configured to, when it is determined that a target object region is of a first type, obtain endpoint information of the target object region, where the endpoint information includes an endpoint number and endpoint index values of the target object region, and the endpoint index values are sequentially determined according to a predetermined order;
a first difference determining unit 346, configured to determine a first labeled difference between a first endpoint and a second endpoint according to an endpoint label value, where the first endpoint is any endpoint included in the target object region, the second endpoint is any endpoint included in the target object region except the first endpoint, and the label value of the first endpoint is smaller than the label value of the second endpoint;
a first region determining unit 348 for determining a first region between the first endpoint and the second endpoint according to the first endpoint and the second endpoint in case that the first index difference value is equal to the first threshold value;
a first buffer determination unit 3410 configured to determine the first region as a buffer region.
In an optional embodiment, the region determining module 34 further includes:
a first operation unit 3412 for performing a first operation, in a case where it is determined that an absolute value of the first index difference is greater than a first threshold value after determining the first index difference between the first endpoint and the second endpoint according to the endpoint index value:
determining a second label difference value between the first end point and a third end point, wherein the third end point is any end point between the first end point and the second end point; determining a second region between the first endpoint and the third endpoint in the case that the second index difference is equal to the first threshold; taking the second area as a buffer area;
a second difference value determining unit 3414 for performing the first operation in a case where it is determined that the absolute value of the second index difference value is greater than the first threshold value.
In an optional embodiment, the region determining module 34 further includes:
a second region determining unit 3416, configured to determine a third region with the target object region as a center and the target distance as a radius, when the target object region is determined to be of the second type;
a second buffer determining unit 3418 configured to determine the third region as a buffer region.
In an optional embodiment, the region determining module 34 further includes:
a third region determining unit 3420 for determining a fourth region from the boundary of the target object region toward the inside or outside of the target object region in the predetermined direction in the case where the target object region is determined to be of the third type;
a third buffer determination unit 3422 configured to take the fourth area as a buffer area.
In an alternative embodiment, the flow determination module 38 includes:
an area ratio determination unit 382 for determining an area ratio of the target area to the buffer area based on the intersection area information;
a data determination unit 384 for determining the flow data based on the area ratio and the flow information.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
The present invention will be described with reference to specific examples.
Buffer analysis
Buffer analysis is an important method for proximity (proximity) analysis of geographic information systems, and comprises a buffer generation algorithm and an application mode. The buffer area generation is to calculate the neighborhood with the distance (i.e. buffer radius) of R around any point, line and plane space object. The basic idea of the algorithm is to determine a neighborhood of a given set of spatial objects, the size of the neighborhood being determined by the neighborhood radius R. Thus, the object
Buffer area of
The definition is as follows:
(ii) a Wherein the content of the first and second substances,
the buffer area with radius R is the total distance
D is less than or equal to the set of points for R, d generally being the minimum Euclidean distance. For a collection of objects
The buffer B with radius R is the union of the buffers of the individual objects, i.e.:
。
as shown in fig. 4, the buffer generation algorithm generally requires separate calculations around points, lines and surface objects for different applications.
The point buffer area usually takes a point as a circle center and a certain radius as a distance to calculate a circle area and uses the circle area as a buffer area. The line buffer is usually centered on the line and calculates the area of the parallel strip polygon at a distance from the center axis. The face buffer is a buffer that computes a distance from the boundaries of the face polygon outward, inward, or across the entire polygon to generate a new polygon. Aiming at different application scenes, special processing can be carried out on target elements to obtain irregular buffer areas, for example, a point data storage angle can be obtained, a sector buffer area can be obtained, line elements are cut off, each line segment is respectively provided with a buffer area, the irregular buffer areas and the like can be obtained, and the method is closer to the actual requirement
In the actual use process, a buffer area can be designed according to the thought of a house-wood algorithm and by using a random preprocessing technology to generate a random algorithm, namely, an object to be solved is randomly divided, and a final buffer area is obtained by using a recursive algorithm.
For example, the recursive equation description may be as shown in equation (1):
in the formula (I), the compound is shown in the specification,
to finally slow downThe area is punched out, and the position of the area is punched out,
and
are local buffer areas, and i and j are respectively end point label values.
Secondly, algorithm flow design:
in the actual use process, the recursive flow of the buffer generation random algorithm is shown in fig. 5, where a is a buffer for finding a broken line segment formed by an endpoint 1 and an endpoint n. A decomposes the problem into 2 randomly sized sub-problems B1 and B2 during the solution process. Similarly, B1 and B2 continue to resolve the problem as in a until the problem cannot be resolved, the 2 polygons can be directly merged, and the result of merging is passed to the parent problem in the recursive direction until the problem is passed to the parent problem a.
Furthermore, for conveniently and visually checking the buffer area, the buffer area analysis and the visualization of the SVG multiple application mode can be combined, and the specific method comprises the following steps:
by adopting the SVG buffer zone visualization analysis method technology, the buffer zones under multiple application modes can be expressed on the SVG, including surface buffering, double buffering, internal buffering, external buffering and negative buffering, specifically, as shown in FIG. 6, FIG. 6 shows the results of respectively applying multiple buffer zone modes to a certain planar object.
It should be noted that, in combination with the spatial association method, other geographic elements within the influence range of the target element can be perfectly matched, but the buffer area itself cannot obtain the traffic information well. Therefore, after the buffer area is dynamically established for the target element, the corresponding relation between the target element and the space grid is established by combining a space analysis method, and more accurate grid flow data is obtained through calculation.
Furthermore, the traditional grid statistical method can only simulate the flow distribution of the urban space from a macroscopic view, and the research granularity provided by the method is still not fine and smooth for the influence range of specific elements.
As shown in fig. 7-8, for the flow statistics in the grid region, such as the road element is in the region grid, the flow in the region grid is calculated, and the flow of the road in the section is derived, although the region grid is already the refined thiessen polygon, the granularity is still too large for the flow calculation of a specific element, and the calculation result is not accurate enough.
As shown in fig. 9-11, in the embodiment of the present invention, a GIS buffer analysis and a region grid are combined to perform a spatial analysis, so as to obtain a space fragment between the grid and the buffer, at this time, only an area ratio of the space fragment between the region grid and the double buffer needs to be calculated, and a traffic of the space fragment between the region grid and the double buffer is calculated based on the area ratio, and finally, traffic data within an influence range of the buffer is derived therefrom. It should be noted that, when the flow rate information in the area grid is analyzed through the GIS buffer area, the flow rate of the space debris can be determined by determining the area ratio, which can be regarded as uniform distribution of the flow rate information in the area grid.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.
It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining flow, comprising:
acquiring target information of a target object area, wherein the target information comprises attribute information of the target object area;
determining a buffer area of the target object area based on the attribute information of the target object area, wherein the buffer area is used for indicating a neighborhood range of the target object area;
determining intersection region information of the buffer region and a target region according to the buffer region;
determining traffic data of the buffer area based on the traffic information of the target area and the intersection area information, wherein the traffic information includes first traffic data of the target area.
2. The method of claim 1, wherein the determining a buffer area of the target object area based on the attribute information of the target object area comprises:
determining a type of the target object region based on the attribute information;
under the condition that the target object area is determined to be of the first type, acquiring endpoint information of the target object area, wherein the endpoint information comprises endpoint label values of the target object area, and the endpoint label values are sequentially determined according to a preset sequence;
determining a first label difference value between a first endpoint and a second endpoint according to the endpoint label value, wherein the first endpoint is any endpoint included in the target object region, the second endpoint is any endpoint included in the target object region except the first endpoint, and the label value of the first endpoint is smaller than that of the second endpoint;
determining a first region between a first endpoint and a second endpoint according to the first endpoint and the second endpoint when the first index difference is equal to a first threshold;
and taking the first area as the buffer area.
3. The method of claim 2, wherein after said determining a first index difference value between a first endpoint and a second endpoint based on said endpoint index value, said method further comprises:
in the event that it is determined that the absolute value of the first index difference is greater than a first threshold, performing a first operation:
determining a second label difference value of the first endpoint and a third endpoint, wherein the third endpoint is any endpoint between the first endpoint and the second endpoint; determining a second region between the first endpoint and the third endpoint if the second index difference is equal to the first threshold; taking the second area as the buffer area;
performing the first operation if the absolute value of the second index difference is determined to be greater than a first threshold.
4. The method of claim 2, wherein the determining the type of the target object region based on the attribute information further comprises:
under the condition that the target object area is determined to be of the second type, determining a third area by taking the target object area as a circle center and taking the target distance as a radius;
and taking the third area as the buffer area.
5. The method of claim 2, wherein the determining the type of the target object region based on the attribute information further comprises:
determining a fourth region from a boundary of the target object region to an inside or an outside of the target object region in a predetermined direction in a case where the target object region is determined to be of a third type;
and taking the fourth area as the buffer area.
6. The method of claim 1, wherein the determining traffic data for the buffer region based on the traffic information for the target region and the intersection region information comprises:
determining an area ratio of the target region to the buffer region based on the intersection region information;
determining the flow data based on the area ratio and the flow information.
7. A flow rate determination device, comprising:
the information acquisition module is used for acquiring target information of a target object area, wherein the target information comprises attribute information of the target object area;
a region determining module, configured to determine a buffer region of the target object region based on attribute information of the target object region, where the buffer region is used to indicate a neighborhood range of the target object region;
the information determining module is used for determining intersection region information of the buffer region and the target region according to the buffer region;
a traffic determination module, configured to determine traffic data of the buffer area based on traffic information of the target area and the intersection area information, where the traffic information includes first traffic data of the target area.
8. The apparatus of claim 7, wherein the region determining module comprises:
a type determination unit configured to determine a type of the target object region based on the attribute information;
the endpoint determining unit is used for acquiring endpoint information of the target object area under the condition that the target object area is determined to be of a first type, wherein the endpoint information comprises endpoint label values of the target object area, and the endpoint label values are sequentially determined according to a preset sequence;
a first difference determining unit, configured to determine a first label difference between a first endpoint and a second endpoint according to the endpoint label value, where the first endpoint is any endpoint included in the target object region, the second endpoint is any endpoint included in the target object region except the first endpoint, and the label value of the first endpoint is smaller than the label value of the second endpoint;
a first area determination unit, configured to determine, when the first label difference is equal to a first threshold, a first area between a first endpoint and a second endpoint according to the first endpoint and the second endpoint;
a first buffer determination unit configured to take the first area as the buffer area.
9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 6 when executed.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 6.
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| CN114399625A (en) * | 2022-03-24 | 2022-04-26 | 北京闪马智建科技有限公司 | Position determination method and device, storage medium and electronic device |
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