CN105488698B - Method and device for analyzing customer density in space area - Google Patents
Method and device for analyzing customer density in space area Download PDFInfo
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Abstract
The invention discloses a method and a device for analyzing customer density in a spatial area, belonging to the field of spatial analysis application of a geographic information system, wherein the method comprises the following steps: acquiring at least one spatial region and at least one client; screening at least one client meeting a preset analysis condition from at least one client according to at least one space region; and generating a final analysis result according to the at least one space region and the at least one client meeting the preset analysis condition. The invention can accurately acquire the density information of the client meeting certain preset conditions, and effectively provides more reasonable auxiliary information for resource allocation in the spatial region. In addition, different analysis parameters are set for different types of space regions, so that the analysis requirements of various types of space regions can be met.
Description
Technical Field
The invention relates to the field of spatial analysis application of a geographic information system, in particular to a method and equipment for analyzing customer density in a spatial area.
Background
The Geographic Information System (GIS) is a comprehensive discipline, which has been widely used in various fields in combination with geography, cartography, remote sensing and computer discipline, and is a computer System for inputting, storing, querying, analyzing, displaying and describing Geographic data. The most difference between the geographic information system and other information systems is that the spatial information can be stored and managed, various phenomena in a certain spatial area can be analyzed and processed, and the problems of complex planning, decision making and management are solved.
Spatial analysis is a main feature of a geographic information system, and is an analysis technique of spatial data based on the position and form of a geographic object, and aims to extract and transmit spatial information. Among them, density analysis is an important analysis method in spatial analysis.
The existing customer density analysis method mainly analyzes and generates a people stream density distribution diagram based on the position information of all customers. The analysis result can only reflect the distribution trend of the client, and the density information of the client meeting certain preset conditions cannot be accurately acquired, so that the reminding function for the client cannot be further accurately realized. In addition, in the existing analysis method, different spatial regions adopt the same analysis parameters, so that the analysis requirements of various types of spatial regions cannot be met.
Disclosure of Invention
The invention provides a method and equipment for analyzing customer density in a space area, which aim to solve the problem that the density information of customers meeting certain preset conditions cannot be accurately acquired by an analysis method in the prior art.
In a first aspect, the present invention provides a method for analyzing customer density in a spatial region, the method comprising:
acquiring at least one spatial region and at least one client;
screening at least one client meeting a preset analysis condition from the at least one client according to the at least one space region;
and generating a final analysis result according to the at least one space region and the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition.
As a preferred mode of the first aspect of the present invention, after the acquiring at least one spatial region and at least one client, the method further comprises:
and respectively acquiring analysis parameters of the at least one space area and customer information of the at least one customer, wherein the analysis parameters comprise an analysis radius, a reminding threshold and an analysis type, and the customer information comprises customer identity information, a customer position and a customer type.
As a preferable mode of the first aspect of the present invention, the screening, from the at least one customer, at least one customer meeting a preset analysis condition according to the at least one spatial region includes:
determining a spatial containment relationship of the at least one spatial region and the at least one customer according to the analysis radius of the at least one spatial region and the customer location of the at least one customer;
judging whether the analysis type of the at least one space region is matched with the customer type of the at least one customer contained in the at least one space region;
and if so, judging that the at least one client is the client meeting the preset analysis condition.
As a preferred mode of the first aspect of the present invention, the generating, according to the at least one spatial region and the at least one client meeting a preset analysis condition, a final analysis result, where the final analysis result is used to indicate that density information of the at least one client meeting a preset reminding condition includes:
within the analysis radius of each space region, respectively acquiring the relative density of the position of the at least one customer meeting the preset analysis condition, wherein the relative density of the position is used for indicating the number of other customers with the same customer type near the at least one customer meeting the preset analysis condition;
judging whether the relative density of the position of the at least one customer meeting the preset analysis condition is greater than or equal to the reminding threshold of the at least one space area;
if so, generating a final analysis result according to the relative density of the position of the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, client position, client type and the relative density of the position of the client.
In a second aspect, the present invention provides an apparatus for analyzing customer density in a spatial region, the apparatus comprising:
the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring at least one space region and at least one client;
the screening unit is used for screening at least one client meeting a preset analysis condition from the at least one client according to the at least one space region;
and the analysis unit is used for generating a final analysis result according to the at least one space region and the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition.
As a preferable mode of the second aspect of the present invention, the acquiring unit is further configured to:
and respectively acquiring analysis parameters of the at least one space area and customer information of the at least one customer, wherein the analysis parameters comprise an analysis radius, a reminding threshold and an analysis type, and the customer information comprises customer identity information, a customer position and a customer type.
As a preferred mode of the second aspect of the present invention, the screening unit is specifically configured to:
determining a spatial containment relationship of the at least one spatial region and the at least one customer according to the analysis radius of the at least one spatial region and the customer location of the at least one customer;
judging whether the analysis type of the at least one space region is matched with the customer type of the at least one customer contained in the at least one space region;
and if so, judging that the at least one client is the client meeting the preset analysis condition.
As a preferred mode of the second aspect of the present invention, the analysis unit is specifically configured to:
within the analysis radius of each space region, respectively acquiring the relative density of the position of the at least one customer meeting the preset analysis condition, wherein the relative density of the position is used for indicating the number of other customers with the same customer type near the at least one customer meeting the preset analysis condition;
judging whether the relative density of the position of the at least one customer meeting the preset analysis condition is greater than or equal to the reminding threshold of the at least one space area;
if so, generating a final analysis result according to the relative density of the position of the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, client position, client type and the relative density of the position of the client.
The method and the device for analyzing the density of the clients in the spatial area can accurately analyze and acquire the density information of the clients meeting certain preset conditions, the density information not only can reflect the distribution trend of the clients meeting certain preset conditions, but also contains other detailed information of the clients, and more reasonable auxiliary information is effectively provided for resource allocation in the spatial area. In addition, different analysis parameters are set for different types of space regions, so that the analysis requirements of the space regions of various types can be met, and the analysis of the client density meeting certain preset conditions in the space regions of different types is realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for analyzing customer density in a spatial area according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for analyzing customer density in a spatial area according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an analysis apparatus for spatial region customer density according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides an analysis method of customer density in a spatial area, which is mainly applied to a geographic information system, fully utilizes the spatial analysis advantage of the geographic information system in the specific analysis process, converts the obtained spatial areas of different types and specific customers in the spatial areas from the original geographic coordinate system to a projection coordinate system, then analyzes and processes the converted surface data set and point data set, and finally realizes the analysis of the specific customer density in the spatial areas of different types.
An embodiment of the present invention provides a method for analyzing a spatial area customer density, which is shown in fig. 1 and includes:
101. acquiring at least one spatial region and at least one client;
102. screening at least one client meeting a preset analysis condition from at least one client according to at least one space region;
103. and generating a final analysis result according to the at least one space region and the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition.
The method for analyzing the density of the clients in the spatial area can accurately analyze and acquire the density information of the clients meeting certain preset conditions, the density information not only can reflect the distribution trend of the clients meeting certain preset conditions, but also contains other detailed information of the clients, and more reasonable auxiliary information is effectively provided for resource allocation in the spatial area.
An embodiment of the present invention provides a method for analyzing a spatial area customer density, which is shown in fig. 2 and includes:
201. at least one spatial region is obtained, and analysis parameters of the at least one spatial region are obtained.
At least one spatial region which needs to be subjected to customer density analysis is acquired, wherein the number of the acquired spatial regions is determined according to the actual situation, and the acquisition mode and the number of the spatial regions are not limited in the embodiment of the invention. Specifically, the obtained initial coordinates of the at least one spatial region are a geographic coordinate system, and in the geographic coordinate system, the at least one spatial region is a plane data set and is marked as a plane data set R.
And analyzing parameters of the acquired at least one space region comprise an analyzing radius, a reminding threshold and an analyzing type. The analysis radius is used for determining an effective analysis radius of the position of the client in the space area, and the unit is meter; the reminding threshold is used for indicating whether the distribution density of the positions of the clients in the space area reaches the reminding standard of the space area, and the unit is one; the analysis type is used to match the type of the client in the spatial region. Specifically, the analysis radius, the reminder threshold, and the analysis type are all attribute fields of the facet data set R, labeled F _ R, F _ V and F _ T, respectively.
Specifically, when the analysis is performed based on the geographic information system, the surface data set R needs to be subjected to coordinate transformation, and is transformed into the projection coordinate system, and the transformed result is labeled as the surface data set R0. Then, a buffer is created for the face data set R0, the buffer radius for any one spatial region is equal to the analysis radius F _ R for that spatial region, and the result after creating the buffer is labeled as the face data set R1.
202. At least one client is obtained, and client information of the at least one client is obtained.
After the at least one spatial region is acquired in the above steps, at least one client is further acquired, and the acquired initial coordinate of the at least one client is also a geographic coordinate system. Client information for any one of the clients is stored in a client location information table, the client information including client identity information, client location and client type. Specifically, for any client, the table includes a longitude field, a latitude field, and a client type field, labeled X, Y and FT, respectively, corresponding thereto, where longitude X and latitude Y indicate the client location of the client.
The real-time position of any client in the client position information table is inquired, the inquiry result is marked as a table T, and the real-time position in the embodiment of the invention refers to the position information of the client in the last two hours. And converting the table T into a point data set P according to the longitude field X and the latitude field Y obtained by query, wherein the point data set P comprises a client type field FT.
Specifically, when the analysis is performed based on the geographic information system, the point data set P needs to be subjected to coordinate conversion, and is converted into the projection coordinate system, and the converted result is labeled as a point data set P1.
203. And determining the spatial containment relationship between the at least one spatial region and the at least one client according to the analysis radius of the at least one spatial region and the client position of the at least one client.
After the at least one space area and the at least one client are obtained, the space containing relationship between the at least one space area and the at least one client is determined according to the analysis radius of the at least one space area and the client position of the at least one client, namely, any client corresponds to the analysis radius range of the space area where the client is located.
Specifically, when the analysis is performed based on the geographic information system, a plane buffer is generated using the analysis radius of the plane data set R1, and then the spatial connection analysis is performed by connecting the point data set P1.
204. Judging whether the analysis type of the at least one space region is matched with the client type of the at least one client contained in the at least one space region; if yes, determining that the at least one customer is a customer meeting the preset analysis condition, and continuing to execute step 205; if not, go to step 208.
After any client is corresponding to the analysis radius range of the space region where the client is located, all clients with client types matched with the analysis types of the space region are further found from the space regions, namely all clients meeting preset analysis conditions are found. In this embodiment, the client meeting the preset analysis condition refers to a client that is within an analysis radius range of a certain spatial region and is matched with an analysis type of the spatial region.
Specifically, when the analysis is performed based on the geographic information system, the spatial connection analysis is performed by connecting the face data set R1 with the point data set P1, and the result is labeled as a point data set P2. An analysis radius field F _ R, a reminding threshold field F _ V and an analysis type field F _ T are added into the point data set P2 through field information of a connection surface data set R1; then, the point data set P2 is cleaned to find out the point elements with the same analysis type field F _ T and the same customer type field FT in the spatial area, where each point element corresponds to a location of a customer meeting the preset analysis condition. These dot elements are stored, and the storage result is denoted as a dot data set P3, whose primary key is a dot number field F _ ID.
After the step, a part of clients which do not meet the preset analysis conditions can be excluded, so that the subsequent analysis is only performed on the clients which meet the preset analysis conditions.
205. And respectively acquiring the relative density of the position of at least one client meeting the preset analysis condition in the respective analysis radius of at least one space area.
After finding out all clients meeting the preset analysis condition, respectively obtaining the relative density of the position of at least one client meeting the preset analysis condition in the range of the respective analysis radius of at least one space area, wherein the relative density of the position is used for indicating the number of other clients which are close to the at least one client meeting the preset analysis condition and have the same client type as the client.
Specifically, when the analysis is performed based on the geographic information system, the distance between each point element in the point data set P3 and other point elements within the analysis radius F _ R of the space region is calculated respectively, and the output result is recorded as a distance relation table TD1, which includes an input point number field FID1, a related point number field FID2, and a customer type field FT1 of the input point, where the customer type field FT1 of the input point is equal to the customer type field FT of the point element in the point data set P3.
The distance relation table TD1 is processed by associating the point data set P3 with the relevant point number field FID2 to obtain the client type field FT2 of the relevant point. A point element in which the customer type field FT1 of the input point is equal to the customer type field FT2 of the relevant point is output as the distance relationship table TD 2.
The input point number field FID1 of the distance relation table TD2 is counted, and the output result is recorded as table TS 1. The table TS1 includes an input point number field FID1 indicating the number of a customer who satisfies a preset analysis condition, and a statistical number field F _ C indicating the number of other customers in the vicinity of the customer who are of the same customer type as the customer.
After the step, all the found clients meeting the preset analysis conditions can be classified according to the client types, and then the number of other clients which are close to each client meeting the preset analysis conditions and have the same client type as the client of the client is counted respectively, namely the relative density of the position of at least one client meeting the preset analysis conditions is counted respectively.
206. Judging whether the relative density of the position of at least one customer meeting the preset analysis condition is greater than or equal to the reminding threshold of each space area; if yes, determining that the at least one client meeting the preset analysis condition is a client meeting the preset reminding condition, and continuing to execute step 207; if not, go to step 208.
On the basis of the above steps, the statistical relative density of the location of at least one client meeting the preset analysis condition, that is, the number of other clients of the same type as the client of the client near the at least one client meeting the preset analysis condition, is respectively compared with the respective reminding threshold of the space area containing the client, that is, the statistical number F _ C and the reminding threshold F _ V of the space area are compared. If the statistical quantity F _ C is larger than or equal to the reminding threshold value F _ V, the at least one client meeting the preset analysis condition is determined to be the client meeting the preset reminding condition, and the final analysis process of the next step can be carried out. In this embodiment, the client meeting the preset reminding condition refers to a client whose position has a relative density greater than or equal to the reminding threshold of the space area on the basis of meeting the preset analysis condition.
It should be noted that, the statistical quantity F _ C is the quantity of other customers of the same type as the customer of the customer near a customer satisfying the predetermined analysis condition, that is, the customer itself is not counted in the statistical quantity F _ C, that is, the actual statistical quantity is one more than the statistical quantity F _ C. Since the statistical quantity F _ C represents a relative density in practical applications, and all the statistical quantities are relative values, the actual statistical quantity is usually replaced by the statistical quantity F _ C. If the value of the statistical quantity F _ C is small in practical application, that is, if the statistical quantity F _ C is different from the actual statistical quantity by one, the statistical quantity F _ C may be subjected to an addition process.
207. And generating a final analysis result according to the relative density of the position of at least one client meeting the preset reminding condition.
And generating a final analysis result according to the relative density of the position of the at least one client meeting the preset reminding condition obtained in the step 206, wherein the analysis result is used for indicating the density information of the at least one client meeting the preset reminding condition, and the density information comprises client identity information, client position, client type and the relative density of the position of the client.
Specifically, when the analysis is performed based on the geographic information system, the point number field FID1 in the connection table TS1 and the point number field F _ ID in the point data set P3 are input. After the connection is completed, fields such as an analysis radius F _ R, a reminder threshold F _ V, a longitude X, a latitude Y, a client type FT, and a statistical number F _ C are added to the table TS 1.
In table TS1, the client information and the relative density information that satisfy the preset reminding condition are queried, and the RESULT is stored in table T _ RESULT, where table T _ RESULT includes the client identity information, the client location, the client type, and the relative density of the location where the client is located.
208. The analysis of the spatial region customer density is ended.
The method for analyzing the density of the clients in the spatial area can accurately analyze and acquire the density information of the clients meeting certain preset conditions, the density information not only can reflect the distribution trend of the clients meeting certain preset conditions, but also contains other detailed information of the clients, and more reasonable auxiliary information is effectively provided for resource allocation in the spatial area. In addition, different analysis parameters are set for different types of space regions, so that the analysis requirements of the space regions of various types can be met, and the analysis of the client density meeting certain preset conditions in the space regions of different types is realized.
It should be noted that the above-mentioned embodiments of the method are described as a series of actions for simplicity of description, but those skilled in the art should understand that the present invention is not limited by the described sequence of actions. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
An embodiment of the present invention further provides an apparatus for analyzing a spatial area customer density, which is shown in fig. 3 and includes:
an obtaining unit 31, configured to obtain at least one spatial region and at least one client;
a screening unit 32, configured to screen at least one client meeting a preset analysis condition from at least one client according to at least one spatial region;
and the analysis unit 33 is configured to generate a final analysis result according to the at least one spatial region and the at least one client meeting the preset analysis condition, where the final analysis result is used to indicate density information of the at least one client meeting the preset analysis condition.
Preferably, the obtaining unit 31 is further configured to:
respectively obtaining analysis parameters of at least one space area and customer information of at least one customer, wherein the analysis parameters comprise the analysis radius, a reminding threshold value and an analysis type, and the customer information comprises customer identity information, a customer position and a customer type.
Preferably, the screening unit 32 is specifically configured to:
determining a spatial containment relationship of the at least one spatial region and the at least one customer according to the analysis radius of the at least one spatial region and the customer location of the at least one customer;
judging whether the analysis type of the at least one space region is matched with the customer type of the at least one customer contained in the at least one space region;
and if so, judging that the at least one client is the client meeting the preset analysis condition.
Preferably, the analysis unit 33 is specifically configured to:
within the analysis radius of each space region, respectively acquiring the relative density of the position of at least one client meeting the preset analysis condition, wherein the relative density of the position is used for indicating the number of other clients with the same client type near the at least one client meeting the preset analysis condition;
judging whether the relative density of the position of at least one customer meeting the preset analysis condition is greater than or equal to the reminding threshold of each space area;
if so, generating a final analysis result according to the relative density of the position of at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, the client position, the client type and the relative density of the position of the client.
The density information of the clients meeting certain preset conditions can be accurately analyzed and obtained, the density information not only can reflect the distribution trend of the clients meeting certain preset conditions, but also contains other detailed information of the clients, and more reasonable auxiliary information is effectively provided for resource allocation in the space area. In addition, different analysis parameters are set for different types of space regions, so that the analysis requirements of the space regions of various types can be met, and the analysis of the client density meeting certain preset conditions in the space regions of different types is realized.
It should be noted that, when the analysis device for the spatial area customer density provided in the foregoing embodiment performs analysis on the spatial area customer density, the above-mentioned division of each functional module is merely used as an example, and in practical applications, the above-mentioned functions may be distributed to different functional modules according to needs, so as to complete all or part of the functions described above. In addition, the analysis device for the customer density in the space area and the analysis method for the customer density in the space area provided by the above embodiments belong to the same concept, and specific implementation processes thereof are referred to as method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (4)
1. A method for analyzing customer density in a spatial region, the method comprising:
acquiring at least one spatial region and at least one client; respectively acquiring analysis parameters of the at least one space region and customer information of the at least one customer, wherein the analysis parameters comprise an analysis radius, a reminding threshold and an analysis type, and the customer information comprises customer identity information, a customer position and a customer type;
determining a spatial containment relationship of the at least one spatial region and the at least one customer according to the analysis radius of the at least one spatial region and the customer location of the at least one customer; judging whether the analysis type of the at least one space region is matched with the customer type of the at least one customer contained in the at least one space region; if yes, judging that the at least one customer is a customer meeting preset analysis conditions;
and generating a final analysis result according to the at least one space region and the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, a client position, a client type and the relative density of the position where the client is located.
2. The method according to claim 1, wherein the generating a final analysis result according to the at least one spatial region and the at least one customer satisfying a preset analysis condition, the final analysis result indicating density information of the at least one customer satisfying the preset analysis condition comprises:
within the analysis radius of each space region, respectively acquiring the relative density of the position of the at least one customer meeting the preset analysis condition, wherein the relative density of the position is used for indicating the number of other customers with the same customer type near the at least one customer meeting the preset analysis condition;
judging whether the relative density of the position of the at least one customer meeting the preset analysis condition is greater than or equal to the reminding threshold of the at least one space area;
if so, generating a final analysis result according to the relative density of the position of the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, client position, client type and the relative density of the position of the client.
3. An apparatus for analyzing customer density for a spatial region, the apparatus comprising:
the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring at least one space region and at least one client; respectively acquiring analysis parameters of the at least one space region and customer information of the at least one customer, wherein the analysis parameters comprise an analysis radius, a reminding threshold and an analysis type, and the customer information comprises customer identity information, a customer position and a customer type;
the screening unit is used for determining the spatial inclusion relationship between the at least one spatial area and the at least one customer according to the analysis radius of the at least one spatial area and the customer position of the at least one customer; judging whether the analysis type of the at least one space region is matched with the customer type of the at least one customer contained in the at least one space region; if yes, judging that the at least one customer is a customer meeting preset analysis conditions;
and the analysis unit is used for generating a final analysis result according to the at least one space region and the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, a client position, a client type and the relative density of the position of the client.
4. The device according to claim 3, characterized in that the analysis unit is specifically configured to:
within the analysis radius of each space region, respectively acquiring the relative density of the position of the at least one customer meeting the preset analysis condition, wherein the relative density of the position is used for indicating the number of other customers with the same customer type near the at least one customer meeting the preset analysis condition;
judging whether the relative density of the position of the at least one customer meeting the preset analysis condition is greater than or equal to the reminding threshold of the at least one space area;
if so, generating a final analysis result according to the relative density of the position of the at least one client meeting the preset analysis condition, wherein the final analysis result is used for indicating the density information of the at least one client meeting the preset analysis condition, and the density information comprises client identity information, client position, client type and the relative density of the position of the client.
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