Site selection method and site selection device for business network and electronic equipment

Abstract

The invention provides a site selection method and device for a business network and electronic equipment. The method comprises the following steps: generating an electronic map of a target area, and performing rasterization division on the electronic map to obtain a raster map; at least updating the external data to a database of the website electronic map system in real time; at least determining information point data of each grid in the grid map according to the external data; determining a corresponding site selection evaluation formula according to the administrative region attributes of the grids, and calculating a site selection evaluation score of each grid according to the information point data and the corresponding site selection evaluation formula; and determining the address of the business network according to the size of the site selection evaluation score, and solving the technical problem of low site selection efficiency of the business network in the prior art.

Description

Technical Field

[0001] The present application relates to the technical field of geographic information systems, and in particular to a method for selecting a site for a business outlet, a site selection device, a computer-readable storage medium, and an electronic device. Background Art

[0002] At present, there are many business outlets, which are widely distributed in urban and rural areas across the country, and the resources in different regions are quite different. The location selection of bank business outlets is affected by many factors. However, the current general methods of location selection rely more on manual and experience-driven methods, which have the problem of low efficiency in location selection.

[0003] Therefore, there is an urgent need for an efficient method for selecting the location of business outlets. Summary of the invention

[0004] The embodiments of the present application provide a method for selecting a site for a business outlet, a site selection device, a computer-readable storage medium, and an electronic device to at least solve the technical problem of low site selection efficiency for business outlets in the prior art.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for site selection of business outlets is provided, comprising generating an electronic map of a target area, and rasterizing the electronic map to obtain a raster map; updating at least external data in real time to a database of an outlet electronic map system, wherein the external data at least includes location information of retail shops, population density of each location, and housing prices, and the outlet electronic map system is a system for managing location information of business outlets; determining at least information point data of each grid in the raster map based on the external data, wherein the information point data at least includes the number of retail shops and determines the corresponding population density and housing prices; determining a corresponding site selection evaluation formula based on the administrative area attributes of the grid, and calculating a site selection evaluation score of each grid based on the information point data and the corresponding site selection evaluation formula; and determining the address of the business outlet based on the size of the site selection evaluation score.

[0006] Optionally, the benefit data of the business outlets currently existing in the target area and the customer asset data in the customer management system are obtained to generate asset data, wherein the benefit data is at least economic benefit data generated within a certain period of time; the asset data is at least cleaned, converted and integrated to generate internal data; and the internal data is transmitted to the database of the electronic map system of the outlets through the data bus system.

[0007] Optionally, an initial site selection evaluation formula is constructed based on the external data, wherein the dependent variable of the initial site selection evaluation formula is the site selection evaluation score, the independent variable is the external data, and the weight of each external data in the initial site selection evaluation formula is an unknown number; the relationship between the site selection evaluation score of different administrative regions and the benefit data and the asset data is determined to obtain a score relationship; based on the internal data of each business outlet, the external data of the grid where the business outlet is located, and the score relationship, the weight corresponding to each external data is determined to obtain the site selection evaluation formula for different administrative regions.

[0008] Optionally, the external data also includes location information of banks, location information of small and medium-sized enterprises, location information of commercial gathering points and location information of transportation gathering points, wherein the commercial gathering points are locations where commercial activities are provided and where there is a large flow of people, and the transportation gathering points are locations where there is convenient transportation and where there is a large flow of people; based on the external data, at least the information point data of each of the grids in the electronic map is determined, including: for the same external data, when there are multiple different values ​​in one grid, calculating the average value of the multiple values, and using the average value as the information point data of the grid; based on the location information of the retail stores, the location information of the banks, the location information of the small and medium-sized enterprises, the location information of the commercial gathering points and the location information of the transportation gathering points, calculating the number of the retail stores, the number of banks, the number of small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points in each of the grids, and using the number of the retail stores, the number of banks, the number of small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points as the information point data of the grid.

[0009] Optionally, when the external data and the internal data change, determine whether the site selection evaluation scoring formula is still applicable; when the site selection evaluation formula is not applicable, update the weights in the site selection evaluation formula to obtain the updated site selection evaluation formula.

[0010] Optionally, the site selection evaluation scores of the grids are compared; the grid with the highest site selection evaluation score is determined as the site selection grid, and the position of the site selection grid is used as the address of the business outlet.

[0011] Optionally, the grid and the site selection evaluation score are rendered and displayed in the form of a heat map to generate a first heat map; the color depths in the first heat map are compared, and the location with the darkest color in the first heat map corresponds to the largest site selection evaluation score.

[0012] According to another aspect of an embodiment of the present invention, a device for selecting a location of a business outlet is provided, including:

[0013] A division unit generates an electronic map of the target area and performs raster division on the electronic map to obtain a raster map;

[0014] An updating unit, which updates at least external data in real time to a database of a network point electronic map system, wherein the external data at least includes location information of retail stores, population density and housing prices at each location, and the network point electronic map system is a system for managing location information of business outlets;

[0015] A first determining unit, based on the external data, determines at least information point data of each grid in the grid map, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price;

[0016] A calculation unit, which determines a corresponding site selection evaluation formula according to the administrative area attribute of the grid, and calculates the site selection evaluation score of each grid according to the information point data and the corresponding site selection evaluation formula;

[0017] The second determining unit determines the address of the business outlet according to the size of the site selection evaluation score.

[0018] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, including: the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods.

[0019] According to another aspect of an embodiment of the present invention, there is provided an electronic device, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the methods described above.

[0020] The technical solution of the present application is applied, firstly, an electronic map of the target area is generated, and the electronic map is grid-divided to obtain a grid map; secondly, at least external data is updated in real time to the database of the network point electronic map system; then, according to the external data, at least the information point data of each grid in the grid map is determined; then, the corresponding site selection evaluation formula is determined according to the administrative area attribute of the grid, and the site selection evaluation score of each grid is calculated according to the information point data and the corresponding site selection evaluation formula; finally, the address of the business outlet is determined according to the size of the site selection evaluation score. Compared with the prior art, the solution of the present application determines the information point data of each grid by using the map grid as the dimension, at least the external data updated in real time, determines the site selection scoring formula of the business outlet according to the attributes of different regions, calculates the site selection evaluation score of each grid according to the information point data and the site selection scoring formula, and determines the address of the business outlet according to the size of the score, thereby improving the scientificity and efficiency of site selection, thereby solving the problem of low site selection efficiency of business outlets in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0022] Figure 1 A hardware structure block diagram of a mobile terminal for executing a method for selecting a location of a business outlet provided in an embodiment of the present application is shown;

[0023] Figure 2 A schematic diagram of a process of selecting a location for a business outlet provided in accordance with an embodiment of the present application is shown;

[0024] Figure 3 A scatter plot showing the correlation between the city-standardized resource score and the asset scale of a business outlet according to a site selection method for a business outlet provided in an embodiment of the present application;

[0025] Figure 4 A scatter plot showing the correlation between the county-standardized resource score and the asset scale of the outlets according to a method for selecting a location for a business outlet provided in an embodiment of the present application;

[0026] Figure 5 A scatter plot showing the correlation between the rural-standardized resource score and the asset scale of a business outlet according to a site selection method for a business outlet provided in an embodiment of the present application;

[0027] Figure 6 A heat map of resource scores rendered using OpenLayers technology is shown according to a method for selecting a location of a business outlet provided in an embodiment of the present application;

[0028] Figure 7 A schematic diagram showing the main steps of a method for selecting a location for a business outlet provided in accordance with an embodiment of the present application is shown;

[0029] Figure 8 A structural block diagram of a site selection device for a business outlet provided according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0030] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0031] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] As introduced in the background technology, the existing technology has the problem of low efficiency in site selection for business outlets. To solve the above problem, the embodiments of the present application provide a site selection method, a site selection device, a computer-readable storage medium and an electronic device for a business outlet.

[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0035] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal for a method for selecting a location of a business outlet according to an embodiment of the present invention. Figure 1As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 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 also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is for illustration only and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0036] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the location selection method of the business outlets in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a 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 a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The specific example of the above-mentioned network 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 (Network Interface Controller, referred to as 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 to communicate with the Internet wirelessly.

[0037] In this embodiment, a method for selecting a location for a business outlet that runs on a mobile terminal, a computer terminal, or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0038] Figure 2 FIG. 1 is a flow chart of a method for selecting a location for a business outlet according to an embodiment of the present application. Figure 2As shown, the method comprises the following steps:

[0039] Step S201, generating an electronic map of the target area, and performing rasterization on the electronic map to obtain a raster map.

[0040] Specifically, the above-mentioned grid is also called a raster image, which refers to an image that is discretized in space and brightness. The raster image is a matrix. Any element in the matrix corresponds to a point in the pixel, and the matrix value corresponds to the grayscale value of the point, that is, a light spot on the electronic map.

[0041] Specifically, generating an electronic map of the target area and rasterizing it can subdivide the area into small blocks, each of which is called a grid, which can provide a clearer understanding of the geographic information and terrain features of the target area and facilitate subsequent analysis and evaluation.

[0042] Specifically, map rasterization can generate localized electronic maps through electronic map engine software and provide map page services of HTTP protocol. At the same time, according to the grid division method built into the electronic map engine, the map page is rasterized into 500 meters * 500 meters, and the grid identification, grid center point coordinates, grid four fixed point coordinates and other data are recorded.

[0043] Specifically, the electronic map engine uses web technology to provide a set of function libraries to drive and manage map data and implement rendering, query and other functions. All application software only needs to call the interface provided by the electronic map engine to complete the implementation of upper-level applications such as map movement, zooming, spatial query and other functions.

[0044] Step S202, at least updating the external data in real time to the database of the network electronic map system, the external data at least includes the location information of retail stores, the population density and housing prices of each location, and the network electronic map system is a system for managing the location information of business outlets.

[0045] Specifically, the above external data may mainly include: information point data of various types of small retail shops, small, medium and micro enterprises, peer banks, commercial gathering points, transportation gathering points, as well as data such as permanent population and housing price information.

[0046] Specifically, updating external data to the database of the electronic map system of outlets in real time helps to more accurately analyze the potential business opportunities and consumer groups at each location, thereby more effectively selecting the locations of business outlets. By analyzing external data such as the location information of retail goods, population density and housing prices, we can better understand market demand and competition, and choose suitable locations to open new outlets in a targeted manner, thereby improving the profitability and market share of the outlets.

[0047] Step S203, determining at least the information point data of each of the grids in the grid map according to the external data, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price.

[0048] Specifically, the above-mentioned Point of Information (POI) is metadata based on geographic location information in an electronic map, including four types of information: name, category, longitude and latitude, corresponding to a target object in real life, such as business, medical care, education, banking and other life entities.

[0049] Specifically, determining information point data based on external data helps determine the best locations for business outlets. By understanding the number of retail stores, population density, and housing prices in each grid, it is possible to analyze which areas have more potential customers and better spending power.

[0050] Step S204, determining a corresponding site selection evaluation formula according to the administrative area attributes of the grids, and calculating the site selection evaluation score of each of the grids according to the information point data and the corresponding site selection evaluation formula.

[0051] Specifically, by determining the corresponding site selection evaluation formula according to the administrative area attributes of the grid, the site selection advantages of each grid can be evaluated more accurately, and the site selection evaluation score of each grid can be calculated using information point data, so that the advantages and disadvantages of each grid can be more comprehensively understood, thereby making targeted planning and decision-making.

[0052] Step S205, determining the address of the business outlet according to the site selection evaluation score.

[0053] Specifically, the size of the site selection evaluation score can help determine the most suitable address for opening a business outlet. The higher the evaluation score, the more suitable the address is for opening an outlet, which may bring more customer traffic and higher turnover. Choosing the address of the business outlet based on the size of the site selection evaluation score will help improve the operating efficiency and profitability of the outlet. By evaluating and comparing each potential address, the most suitable address can be selected more scientifically.

[0054] In the above embodiment, first, an electronic map of the target area is generated, and the electronic map is grid-divided to obtain a grid map; second, at least the external data is updated in real time to the database of the network point electronic map system; then, according to the external data, at least the information point data of each grid in the grid map is determined; then, according to the administrative area attribute of the grid, the corresponding site selection evaluation formula is determined, and the site selection evaluation score of each grid is calculated according to the information point data and the corresponding site selection evaluation formula; finally, according to the size of the site selection evaluation score, the address of the business outlet is determined. Compared with the prior art, the scheme of the present application uses the map grid as a dimension, at least uses the real-time updated external data to determine the information point data of each grid, determines the site selection scoring formula of the business outlet according to the attributes of different regions, calculates the site selection evaluation score of each grid according to the information point data and the site selection scoring formula, and determines the address of the business outlet according to the size of the score, thereby improving the scientificity and efficiency of site selection, thereby solving the problem of low site selection efficiency of business outlets in the prior art.

[0055] In one embodiment of the present application, at least external data is updated in real time to the database of the electronic map system of the outlets, including: obtaining the efficiency data of the business outlets currently existing in the above-mentioned target area and the customer asset data in the customer management system to generate asset data, wherein the above-mentioned efficiency data is at least the economic efficiency data generated within a certain period of time; performing at least data cleaning, data conversion and data integration on the above-mentioned asset data to generate internal data; and transmitting the above-mentioned internal data to the database of the electronic map system of the outlets through the data bus system.

[0056] Specifically, obtaining the profit data of the business outlets in the current target area and the customer asset data in the customer management system will help analyze the current market economic conditions and customer asset conditions, so as to better select suitable outlet location locations. By analyzing the profit data and customer asset data, it is possible to determine which areas have higher economic activity and the number of potential customers, as well as the customer's asset level, so as to more accurately determine the location of the outlets. Through data cleaning, conversion and integration, the generated internal data can provide more information and reference. By transmitting the internal data to the database of the outlet electronic map system through the data bus system, real-time updating and sharing of data can be further realized, providing more timely and accurate support for outlet location decisions, thereby further realizing real-time monitoring and analysis of the profit data and customer asset data of business outlets.

[0057] In order to make various factors more objectively and comprehensively considered in the site selection decision process, thereby further improving the efficiency and accuracy of site selection decisions, in one embodiment of the present application, before determining the corresponding site selection evaluation formula according to the administrative area attributes of the above-mentioned grid, the above-mentioned site selection method also includes: constructing an initial site selection evaluation formula based on the above-mentioned external data, the above-mentioned initial site selection evaluation formula is a dependent variable of the site selection evaluation score, the independent variable is the above-mentioned external data, and the weight of each of the above-mentioned external data in the above-mentioned initial site selection evaluation formula is an unknown number; determining the relationship between the above-mentioned site selection evaluation scores of different above-mentioned administrative regions and the above-mentioned benefit data and the above-mentioned asset data, and obtaining a score relationship; determining the weights corresponding to the above-mentioned external data according to the above-mentioned internal data of each of the above-mentioned business outlets, the above-mentioned external data of the above-mentioned grid where the above-mentioned business outlets are located, and the above-mentioned score relationship, and obtaining the above-mentioned site selection evaluation formula for different administrative regions.

[0058] Specifically, through the analysis and modeling of external data, we can quantify the impact of different factors on site selection evaluation, determine the relationship between the site selection evaluation scores of different administrative regions and the benefit data and asset data, more accurately evaluate the potential benefits and risks of site selection, and provide a scientific basis for the final site selection decision. According to the internal data of each business outlet, the external data of the grid where the business outlet is located, and the score relationship, the weight corresponding to each external data is determined. By determining the site selection evaluation formula for different administrative regions and determining the weight of each external data, the scores of different site selections can be quantitatively evaluated and provided as a reference in the decision-making process.

[0059] Specifically, the modeling and weight adjustment module needs to build a data model and set model weights. That is, by analyzing the information point data within the grid and the business outlet efficiency information and customer AUM value data of the outlets within the grid, using modeling methods such as correlation analysis and multivariate linear regression analysis, the same large area and the same size area are taken for modeling, and a meso-level layout model for outlet site selection is built.

[0060] At the same time, according to the different regional attributes of the grid (i.e., administrative regions), three different resource scoring formulas (i.e., site selection evaluation formulas) are obtained for cities, county towns, and rural areas: 1) Total resource score of cities = 0.176*house price-0.483*population+0.578*various types of retail small shops-0.101*number of small and medium-sized enterprises-0.524*number of peer banks-0.009*number of commercial gathering points-0.325*number of transportation gathering points; 2) Total resource score of county towns = 0.060*house price+ 0.280*population-0.876*various types of small retail shops+0.290*number of small, medium and micro enterprises-0.575*number of peer banks+1.381*number of commercial gathering points+0.114*number of transportation gathering points; 3) Total rural resource score = 0.051*housing price+0.210*population-0.841*various types of small retail shops+0.736*number of small, medium and micro enterprises+0.105*number of peer banks+0.284*number of commercial gathering points+0.157*number of transportation gathering points.

[0061] Specifically, the above-mentioned meso-level layout model analyzes the relationship between the size of outlets and indicators such as the population around the outlets, housing prices, retail shops, small and medium-sized enterprises, the number of outlets of the same industry, commercial and transportation resources, and the number of our bank's outlets in the surrounding areas, optimizes the existing outlet location selection model, comprehensively considers factors such as commercial resources, population resources, competition from the same industry, and whether it is our bank's outlet, and combines the regional characteristics of the outlet distribution to establish a meso-level layout model score that is suitable for cities, county towns, and rural areas respectively.

[0062] In another embodiment, the external data also includes location information of banks, location information of small and medium-sized enterprises, location information of commercial gathering points and location information of transportation gathering points, wherein the commercial gathering points are locations where commercial activities are provided and where there is a large flow of people, and the transportation gathering points are locations where there is convenient transportation and where there is a large flow of people; based on the external data, at least the information point data of each of the grids in the electronic map is determined, including: for the same external data, when there are multiple different values ​​in one grid, calculating the average value of the multiple values, and using the average value as the information point data of the grid; based on the location information of the retail stores, the location information of the banks, the location information of the small and medium-sized enterprises, the location information of the commercial gathering points and the location information of the transportation gathering points, calculating the number of the retail stores, the number of banks, the number of small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points in each grid, and using the number of the retail stores, the number of banks, the number of small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points as the information point data of the grid.

[0063] Specifically, by taking the average of different values ​​as the information point data of the grid, the overall situation of the area can be more accurately reflected, which helps to conduct comprehensive evaluation and analysis. By calculating the number of commercial gathering points and retail shops in each grid, the level of commercial activities in the area can be understood, which helps to determine whether there is enough potential passenger flow to support new business outlets. By calculating the number of transportation gathering points in each grid, the transportation convenience of the area can be understood, which helps to choose locations with convenient transportation to establish business outlets. By calculating the number of retail shops and small and medium-sized enterprises in each grid, the competition situation can be understood, which helps to choose to establish business outlets in areas away from fierce competition. By calculating the number of banks in each grid, the financial service needs of the region can be understood, which helps to choose locations that meet customer needs to establish business outlets, thereby further determining the best business outlet location selection strategy.

[0064] Specifically, based on the POI information point coordinate information loaded in the network electronic map system application database and the geographical location information of the permanent population and housing prices, combined with the 500m*500m grid coordinates divided in the map rasterization module, the information points located in each grid are calculated. If there are multiple different data information in a grid (such as housing price data), the data result of this grid is calculated according to the mean.

[0065] In another embodiment, the method further includes: when the external data and the internal data change, determining whether the site selection evaluation formula is still applicable; when the site selection evaluation formula is not applicable, updating the weights in the site selection evaluation formula to obtain an updated site selection evaluation formula.

[0066] Specifically, when external and internal data change, the original site selection scoring formula may no longer be applicable. Therefore, it is necessary to re-evaluate the importance of site selection factors and adjust the corresponding weights to obtain an updated site selection scoring formula. According to the latest data and situation, the selection factors should be re-evaluated to further ensure the effectiveness of the site selection scoring formula, so as to better reflect the changes in the current market and consumer demand, make more optimized site selection decisions, better grasp market opportunities, and make the site selection process more objective.

[0067] Specifically, for the weights of various influencing factors in the above resource scoring formula, after continuous data update and optimization, the weight configuration needs to be continuously adjusted. The weight management submodule of the network point electronic map system can be used to make real-time adjustments to the weights in the resource scoring formula.

[0068] In order to further determine the location of the business outlets through a scientific site selection evaluation method, in one embodiment of the present application, the address of the above-mentioned business outlets is determined according to the size of the above-mentioned site selection evaluation score, including: comparing the sizes of the site selection evaluation scores of each of the above-mentioned grids; determining the above-mentioned grid with the highest site selection evaluation score as the site selection grid, and using the location of the above-mentioned site selection grid as the address of the above-mentioned business outlets.

[0069] Specifically, comparing the site selection evaluation scores of each grid helps to determine the most suitable location for establishing a business outlet. By scoring each grid, the influence of subjective factors on the site selection decision can be avoided, ensuring that the site selection decision is based on objective evaluation criteria. The grid with the highest site selection evaluation score often has the most superior conditions and location. The grid with the highest site selection evaluation score is determined as the site selection grid, and its location is selected as the address of the business outlet.

[0070] Specifically, before comparing the site selection evaluation scores of each grid, it is necessary to calculate the site selection evaluation score of each grid through the total resource score formula and the resource information data in the grid, and use the method of finding the cumulative distribution function of the probability density function, that is, (Y uses probability*100 to convert the total resource score into a percentage resource score. After calculating the grid's site selection evaluation score, a correlation analysis is performed with the network asset scale (network efficiency and customer AUM) of the business outlets in the grid as follows:

[0071] like Figure 3 As shown, there is a certain degree of correlation between the standardized resource score of a city and the size of its retail assets. The goodness of fit is 0.229, indicating that the correlation is weak and the distribution of points is relatively dispersed, indicating that the standardized resource score is not the only determinant of the size of outlet assets. Other factors need to be considered comprehensively when allocating and planning resources.

[0072] like Figure 4 As shown, the goodness of fit between the standardized resource score of the county and the scale of retail assets of outlets is 0.419, and the distribution of points is generally linear, mainly concentrated at the position of 0.20 on the horizontal axis and 20000.0000 on the vertical axis. Counties with a score of 0.20 often have an asset scale of outlets of around 20,000, while counties with lower or higher scores may have outlet assets of different scales.

[0073] like Figure 5 As shown in the figure, the goodness of fit between the standardized resource score of rural areas and the size of retail assets of outlets is 0.411, and the distribution of points is mainly concentrated in the positions with a score of 0.20 and a size between 20000.0000 and 40000.0000, indicating that rural areas within this range have relatively similar resource scores and size of retail assets of outlets.

[0074] In another embodiment, the site selection evaluation scores of each of the above-mentioned grids are compared, including: rendering and displaying the above-mentioned grids and the above-mentioned site selection evaluation scores in the form of a heat map to generate a first heat map; comparing the color depths in the above-mentioned first heat map, and the position with the darkest color in the above-mentioned first heat map corresponds to the largest site selection evaluation score.

[0075] Specifically, the grids and site selection evaluation scores are rendered and displayed in the form of a heat map. The first heat map generated can intuitively display the distribution of site selection evaluation scores of different grids. The depth of color can be used to quickly compare the scores of various locations. The location with the darkest color corresponds to the largest site selection evaluation score, which can more quickly find the most optimal site location and further improve site selection efficiency. The distribution of areas with high site selection evaluation scores can be more intuitively discovered through the display of the heat map, providing a reference for subsequent decision-making.

[0076] Specifically, the above rendering adopts OpenLayers technology. OpenLayers is an open source JavaScript library for rendering geographic data on Web maps. It uses vector and raster rendering technology to display different types of geographic data and provides multiple rendering methods, including vector rendering, tile rendering, and vector tile rendering.

[0077] like Figure 6 As shown in the figure, after all grids are divided and the total resource score in the grids is calculated, the network point electronic map platform renders the grids and the total resource score in the form of a heat map based on OpenLayers. By distinguishing and displaying the scores in different intervals with multiple colors, the resource scores in the target area can be displayed very intuitively, and the location analysis of the target point and the resource situation of the site to be selected can be very intuitively displayed, which can provide diversified data support and reference for network site selection planners.

[0078] Specifically, after obtaining the heat map, it also includes a network site recommendation module, that is, through rasterization division and resource score calculation and rendering, the network electronic map system can recommend specific locations suitable for opening business outlets to operation managers within the user's planning area and give recommended business formats.

[0079] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the method for selecting a location for business outlets of the present application will be described in detail below in conjunction with specific embodiments.

[0080] This embodiment relates to a specific method for selecting a site for a business outlet, including the following steps:

[0081] Step 1: Generate an electronic map of the target area and rasterize the electronic map to obtain a raster map;

[0082] Step 2: Aggregate the purchased external data and the internal data of the related business system and save them in the database of the branch electronic map system;

[0083] Step 3: Build a data model and set the weights in the model;

[0084] Step 4: Calculate the site selection evaluation scores of all grids;

[0085] Step 5: Render the grids and the corresponding site selection evaluation scores in the form of a heat map;

[0086] Step 6: Through the grid and the rendering of the site selection evaluation score corresponding to the grid, the network electronic map system can recommend specific locations suitable for opening business outlets to operation managers within the user's planning area and give recommended business formats;

[0087] The main process of this process can be found in Figure 7 shown.

[0088] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0089] The embodiment of the present application also provides a site selection device for a business outlet. It should be noted that the site selection device for a business outlet in the embodiment of the present application can be used to execute the site selection method for a business outlet provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0090] The following is an introduction to the site selection device for business outlets provided in an embodiment of the present application.

[0091] Figure 8 Schematic diagram of a site selection device for a business outlet according to an embodiment of the present application. Figure 8 As shown, the device comprises:

[0092] The division unit 10 generates an electronic map of the target area and performs raster division on the electronic map to obtain a raster map.

[0093] Specifically, the above-mentioned grid is also called a raster image, which refers to an image that is discretized in space and brightness. The raster image is a matrix. Any element in the matrix corresponds to a point in the pixel, and the matrix value corresponds to the grayscale value of the point, that is, a light spot on the electronic map.

[0094] Specifically, generating an electronic map of the target area and rasterizing it can subdivide the area into small blocks, each of which is called a grid, which can provide a clearer understanding of the geographic information and terrain features of the target area and facilitate subsequent analysis and evaluation.

[0095] Specifically, map rasterization can generate localized electronic maps through electronic map engine software and provide map page services of HTTP protocol. At the same time, according to the grid division method built into the electronic map engine, the map page is rasterized into 500 meters * 500 meters, and the grid identification, grid center point coordinates, grid four fixed point coordinates and other data are recorded.

[0096] Specifically, the electronic map engine uses web technology to provide a set of function libraries to drive and manage map data and implement rendering, query and other functions. All application software only needs to call the interface provided by the electronic map engine to complete the implementation of upper-level applications such as map movement, zooming, spatial query and other functions.

[0097] The updating unit 20 at least updates the external data to the database of the network electronic map system in real time. The external data at least includes the location information of retail stores, the population density and housing prices of each location. The network electronic map system is a system for managing the location information of business outlets.

[0098] Specifically, the above external data may mainly include: information point data of various types of small retail shops, small, medium and micro enterprises, peer banks, commercial gathering points, transportation gathering points, as well as data such as permanent population and housing price information.

[0099] Specifically, updating external data to the database of the electronic map system of outlets in real time helps to more accurately analyze the potential business opportunities and consumer groups at each location, thereby more effectively selecting the locations of business outlets. By analyzing external data such as the location information of retail goods, population density and housing prices, we can better understand market demand and competition, and choose suitable locations to open new outlets in a targeted manner, thereby improving the profitability and market share of the outlets.

[0100] The first determining unit 30 determines at least information point data of each of the grids in the grid map according to the external data, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price.

[0101] Specifically, the above-mentioned Point of Information (POI) is metadata based on geographic location information in an electronic map, including four types of information: name, category, longitude and latitude, corresponding to a target object in real life, such as business, medical care, education, banking and other life entities.

[0102] Specifically, determining information point data based on external data helps determine the best locations for business outlets. By understanding the number of retail stores, population density, and housing prices in each grid, it is possible to analyze which areas have more potential customers and better spending power.

[0103] The calculation unit 40 determines a corresponding site selection evaluation formula according to the administrative area attributes of the grids, and calculates the site selection evaluation score of each of the grids according to the information point data and the corresponding site selection evaluation formula.

[0104] Specifically, by determining the corresponding site selection evaluation formula according to the administrative area attributes of the grid, the site selection advantages of each grid can be evaluated more accurately, and the site selection evaluation score of each grid can be calculated using information point data, so that the advantages and disadvantages of each grid can be more comprehensively understood, thereby making targeted planning and decision-making.

[0105] The second determining unit 50 determines the address of the business outlet according to the size of the site selection evaluation score.

[0106] Specifically, the size of the site selection evaluation score can help determine the most suitable address for opening a business outlet. The higher the evaluation score, the more suitable the address is for opening an outlet, which may bring more customer traffic and higher turnover. Choosing the address of the business outlet based on the size of the site selection evaluation score will help improve the operating efficiency and profitability of the outlet. By evaluating and comparing each potential address, the most suitable address can be selected more scientifically.

[0107] In the above embodiment, first, an electronic map of the target area is generated, and the electronic map is grid-divided to obtain a grid map; second, at least the external data is updated in real time to the database of the network point electronic map system; then, according to the external data, at least the information point data of each grid in the grid map is determined; then, according to the administrative area attribute of the grid, the corresponding site selection evaluation formula is determined, and the site selection evaluation score of each grid is calculated according to the information point data and the corresponding site selection evaluation formula; finally, according to the size of the site selection evaluation score, the address of the business outlet is determined. Compared with the prior art, the scheme of the present application uses the map grid as a dimension, at least uses the real-time updated external data to determine the information point data of each grid, determines the site selection scoring formula of the business outlet according to the attributes of different regions, calculates the site selection evaluation score of each grid according to the information point data and the site selection scoring formula, and determines the address of the business outlet according to the size of the score, thereby improving the scientificity and efficiency of site selection, thereby solving the problem of low site selection efficiency of business outlets in the prior art.

[0108] In one embodiment of the present application, the update unit includes an acquisition module, a generation module and a transmission module, wherein the acquisition module is used to acquire the efficiency data of the business outlets currently existing in the above-mentioned target area and the customer asset data in the customer management system to generate asset data, and the above-mentioned efficiency data is at least the economic efficiency data generated within a certain period of time; the generation module is used to perform at least data cleaning, data conversion and data integration on the above-mentioned asset data to generate internal data; the transmission module is used to transmit the above-mentioned internal data to the database of the above-mentioned branch electronic map system through the data bus system.

[0109] Specifically, obtaining the profit data of the business outlets in the current target area and the customer asset data in the customer management system will help analyze the current market economic conditions and customer asset conditions, so as to better select suitable outlet location locations. By analyzing the profit data and customer asset data, it is possible to determine which areas have higher economic activity and the number of potential customers, as well as the customer's asset level, so as to more accurately determine the location of the outlets. Through data cleaning, conversion and integration, the generated internal data can provide more information and reference. By transmitting the internal data to the database of the outlet electronic map system through the data bus system, real-time updating and sharing of data can be further realized, providing more timely and accurate support for outlet location decisions, thereby further realizing real-time monitoring and analysis of the profit data and customer asset data of business outlets.

[0110] In order to make various factors more objectively and comprehensively considered in the site selection decision process, thereby further improving the efficiency and accuracy of site selection decisions, in one embodiment of the present application, the site selection device of the above-mentioned business outlets also includes a construction unit, a third determination unit, and a fourth determination unit, wherein the construction unit is used to construct an initial site selection evaluation formula based on the above-mentioned external data, and the above-mentioned initial site selection evaluation formula is a dependent variable that is a site selection evaluation score, and the independent variable is the above-mentioned external data, and the weight of each of the above-mentioned external data in the above-mentioned initial site selection evaluation formula is an unknown number; the third determination unit is used to determine the relationship between the above-mentioned site selection evaluation scores of different administrative regions and the above-mentioned benefit data and the above-mentioned asset data, and obtain a score relationship; the fourth determination unit is used to determine the weights corresponding to the above-mentioned external data based on the above-mentioned internal data of each of the above-mentioned business outlets, the above-mentioned external data of the above-mentioned grid where the above-mentioned business outlets are located, and the above-mentioned score relationship, and obtain the above-mentioned site selection evaluation formula for different administrative regions.

[0111] Specifically, through the analysis and modeling of external data, we can quantify the impact of different factors on site selection evaluation, determine the relationship between the site selection evaluation scores of different administrative regions and the benefit data and asset data, more accurately evaluate the potential benefits and risks of site selection, and provide a scientific basis for the final site selection decision. According to the internal data of each business outlet, the external data of the grid where the business outlet is located, and the score relationship, the weight corresponding to each external data is determined. By determining the site selection evaluation formula for different administrative regions and determining the weight of each external data, the scores of different site selections can be quantitatively evaluated and provided as a reference in the decision-making process.

[0112] Specifically, the modeling and weight adjustment module needs to build a data model and set model weights. That is, by analyzing the information point data within the grid and the business outlet efficiency information and customer AUM value data of the outlets within the grid, using modeling methods such as correlation analysis and multivariate linear regression analysis, the same large area and the same size area are taken for modeling, and a meso-level layout model for outlet site selection is built.

[0113] At the same time, according to the different regional attributes of the grid (i.e., administrative regions), three different resource scoring formulas (i.e., site selection evaluation formulas) are obtained for cities, county towns, and rural areas: 1) Total resource score of cities = 0.176*house price-0.483*population+0.578*various types of retail small shops-0.101*number of small and medium-sized enterprises-0.524*number of peer banks-0.009*number of commercial gathering points-0.325*number of transportation gathering points; 2) Total resource score of county towns = 0.060*house price+ 0.280*population-0.876*various types of small retail shops+0.290*number of small, medium and micro enterprises-0.575*number of peer banks+1.381*number of commercial gathering points+0.114*number of transportation gathering points; 3) Total rural resource score = 0.051*housing price+0.210*population-0.841*various types of small retail shops+0.736*number of small, medium and micro enterprises+0.105*number of peer banks+0.284*number of commercial gathering points+0.157*number of transportation gathering points.

[0114] Specifically, the above-mentioned meso-level layout model analyzes the relationship between the size of outlets and indicators such as the population around the outlets, housing prices, retail shops, small and medium-sized enterprises, the number of outlets of the same industry, commercial and transportation resources, and the number of our bank's outlets in the surrounding areas, optimizes the existing outlet location selection model, comprehensively considers factors such as commercial resources, population resources, competition from the same industry, and whether it is our bank's outlet, and combines the regional characteristics of the outlet distribution to establish a meso-level layout model score that is suitable for cities, county towns, and rural areas respectively.

[0115] In another embodiment, the external data also includes location information of banks, location information of small and medium-sized enterprises, location information of commercial gathering points and location information of transportation gathering points, where commercial gathering points are locations where commercial activities are provided and where there is a large flow of people, and transportation gathering points are locations where there is convenient transportation and where there is a large flow of people; the first determination unit includes a first calculation module and a second calculation module, wherein the first calculation module is used to calculate the average value of multiple values ​​of the same external data when there are multiple different values ​​in one grid, and use the average value as the information point data of the grid; the second calculation module is used to calculate the number of the retail stores, the number of banks, the number of small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points in each of the above-mentioned grids based on the location information of the retail stores, the location information of the banks, the location information of the small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points, and use the number of the retail stores, the number of banks, the number of small and medium-sized enterprises, the number of commercial gathering points and the number of transportation gathering points as the information point data of the grid.

[0116] Specifically, by taking the average of different values ​​as the information point data of the grid, the overall situation of the area can be more accurately reflected, which helps to conduct comprehensive evaluation and analysis. By calculating the number of commercial gathering points and retail shops in each grid, the level of commercial activities in the area can be understood, which helps to determine whether there is enough potential passenger flow to support new business outlets. By calculating the number of transportation gathering points in each grid, the transportation convenience of the area can be understood, which helps to choose locations with convenient transportation to establish business outlets. By calculating the number of retail shops and small and medium-sized enterprises in each grid, the competition situation can be understood, which helps to choose to establish business outlets in areas away from fierce competition. By calculating the number of banks in each grid, the financial service needs of the region can be understood, which helps to choose locations that meet customer needs to establish business outlets, thereby further determining the best business outlet location selection strategy.

[0117] Specifically, based on the POI information point coordinate information loaded in the network electronic map system application database and the geographical location information of the permanent population and housing prices, combined with the 500m*500m grid coordinates divided in the map rasterization module, the information points located in each grid are calculated. If there are multiple different data information in a grid (such as housing price data), the data result of this grid is calculated according to the mean.

[0118] In another embodiment, the site selection device for the business outlets further includes a fifth determination unit and a second updating unit, wherein the fifth determination unit is used to determine whether the site selection evaluation formula is still applicable when the external data and the internal data change; and the second determination unit is used to update the weights in the site selection evaluation formula when the site selection evaluation formula is not applicable, so as to obtain the updated site selection evaluation formula.

[0119] Specifically, when external and internal data change, the original site selection scoring formula may no longer be applicable. Therefore, it is necessary to re-evaluate the importance of site selection factors and adjust the corresponding weights to obtain an updated site selection scoring formula. According to the latest data and situation, the selection factors should be re-evaluated to further ensure the effectiveness of the site selection scoring formula, so as to better reflect the changes in the current market and consumer demand, make more optimized site selection decisions, better grasp market opportunities, and make the site selection process more objective.

[0120] Specifically, for the weights of various influencing factors in the above resource scoring formula, after continuous data update and optimization, the weight configuration needs to be continuously adjusted. The weight management submodule of the network point electronic map system can be used to make real-time adjustments to the weights in the resource scoring formula.

[0121] In order to further determine the location of the business outlets through a scientific site selection evaluation method, in one embodiment of the present application, the second determination unit includes a first comparison module and a determination module, wherein the first comparison module is used to compare the site selection evaluation scores of each of the above-mentioned grids; the determination module is used to determine that the above-mentioned grid with the highest site selection evaluation score is the site selection grid, and the location of the above-mentioned site selection grid is used as the address of the above-mentioned business outlets.

[0122] Specifically, comparing the site selection evaluation scores of each grid helps to determine the most suitable location for establishing a business outlet. By scoring each grid, the influence of subjective factors on the site selection decision can be avoided, ensuring that the site selection decision is based on objective evaluation criteria. The grid with the highest site selection evaluation score often has the most superior conditions and location. The grid with the highest site selection evaluation score is determined as the site selection grid, and its location is selected as the address of the business outlet.

[0123] Specifically, before comparing the site selection evaluation scores of each grid, it is necessary to calculate the site selection evaluation score of each grid through the total resource score formula and the resource information data in the grid, and use the method of finding the cumulative distribution function of the probability density function, that is, Convert the total resource score to a percentile resource score.

[0124] In another embodiment, the first comparison module includes a rendering submodule and a second comparison submodule, wherein the rendering submodule is used to render and display the above-mentioned grid and the above-mentioned site selection evaluation score in the form of a heat map to generate a first heat map; the second comparison submodule compares the color depth in the above-mentioned first heat map, and the position with the darkest color in the above-mentioned first heat map corresponds to the largest above-mentioned site selection evaluation score.

[0125] Specifically, the grids and site selection evaluation scores are rendered and displayed in the form of a heat map. The first heat map generated can intuitively display the distribution of site selection evaluation scores of different grids. The depth of color can be used to quickly compare the scores of various locations. The location with the darkest color corresponds to the largest site selection evaluation score, which can more quickly find the most optimal site location and further improve site selection efficiency. The distribution of areas with high site selection evaluation scores can be more intuitively discovered through the display of the heat map, providing a reference for subsequent decision-making.

[0126] Specifically, the above rendering adopts OpenLayers technology. OpenLayers is an open source JavaScript library for rendering geographic data on Web maps. It uses vector and raster rendering technology to display different types of geographic data and provides multiple rendering methods, including vector rendering, tile rendering, and vector tile rendering.

[0127] Specifically, after obtaining the heat map, it also includes a network site recommendation module, that is, through rasterization division and resource score calculation and rendering, the network electronic map system can recommend specific locations suitable for opening business outlets to operation managers within the user's planning area and give recommended business formats.

[0128] The above-mentioned business outlet location selection device includes a processor and a memory, and the above-mentioned division unit, update unit, first determination unit, calculation unit, and second determination unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions. The above-mentioned modules are all located in the same processor; or, the above-mentioned modules are located in different processors in any combination.

[0129] The processor contains a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and new functions can be predicted by adjusting kernel parameters.

[0130] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0131] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the location selection method for business outlets, the method comprising:

[0132] Step S201, generating an electronic map of the target area, and performing rasterization on the electronic map to obtain a raster map.

[0133] Step S202, at least updating the external data in real time to the database of the network electronic map system, the external data at least includes the location information of retail stores, the population density and housing prices of each location, and the network electronic map system is a system for managing the location information of business outlets.

[0134] Step S203, determining at least the information point data of each of the grids in the grid map according to the external data, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price.

[0135] Step S204, determining a corresponding site selection evaluation formula according to the administrative area attributes of the grids, and calculating the site selection evaluation score of each of the grids according to the information point data and the corresponding site selection evaluation formula.

[0136] Step S205, determining the address of the business outlet according to the site selection evaluation score.

[0137] An embodiment of the present invention provides a processor, the processor is used to run a program, wherein when the program is run, the method for selecting a location for a business outlet is executed, the method comprising:

[0138] Step S201, generating an electronic map of the target area, and performing rasterization on the electronic map to obtain a raster map.

[0139] Step S202, at least updating the external data in real time to the database of the network electronic map system, the external data at least includes the location information of retail stores, the population density and housing prices of each location, and the network electronic map system is a system for managing the location information of business outlets.

[0140] Step S203, determining at least the information point data of each of the grids in the grid map according to the external data, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price.

[0141] Step S204, determining a corresponding site selection evaluation formula according to the administrative area attributes of the grids, and calculating the site selection evaluation score of each of the grids according to the information point data and the corresponding site selection evaluation formula.

[0142] Step S205, determining the address of the business outlet according to the site selection evaluation score.

[0143] An embodiment of the present invention provides a device, the device including a processor, a memory, and a program stored in the memory and executable on the processor, and when the processor executes the program, at least the following steps are implemented:

[0144] Step S201, generating an electronic map of the target area, and performing rasterization on the electronic map to obtain a raster map.

[0145] Step S202, at least updating the external data in real time to the database of the network electronic map system, the external data at least includes the location information of retail stores, the population density and housing prices of each location, and the network electronic map system is a system for managing the location information of business outlets.

[0146] Step S203, determining at least the information point data of each of the grids in the grid map according to the external data, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price.

[0147] Step S204, determining a corresponding site selection evaluation formula according to the administrative area attributes of the grids, and calculating the site selection evaluation score of each of the grids according to the information point data and the corresponding site selection evaluation formula.

[0148] Step S205, determining the address of the business outlet according to the site selection evaluation score.

[0149] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0150] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0151] Step S201, generating an electronic map of the target area, and performing rasterization on the electronic map to obtain a raster map.

[0152] Step S202, at least updating the external data in real time to the database of the network electronic map system, the external data at least includes the location information of retail stores, the population density and housing prices of each location, and the network electronic map system is a system for managing the location information of business outlets.

[0153] Step S203, determining at least the information point data of each of the grids in the grid map according to the external data, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price.

[0154] Step S204, determining a corresponding site selection evaluation formula according to the administrative area attributes of the grids, and calculating the site selection evaluation score of each of the grids according to the information point data and the corresponding site selection evaluation formula.

[0155] Step S205, determining the address of the business outlet according to the site selection evaluation score.

[0156] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0157] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0158] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0159] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0160] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0161] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0162] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0163] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes and other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0164] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0165] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0166] In the above embodiment, first, an electronic map of the target area is generated, and the electronic map is grid-divided to obtain a grid map; second, at least the external data is updated in real time to the database of the network point electronic map system; then, according to the external data, at least the information point data of each grid in the grid map is determined; then, according to the administrative area attribute of the grid, the corresponding site selection evaluation formula is determined, and the site selection evaluation score of each grid is calculated according to the information point data and the corresponding site selection evaluation formula; finally, according to the size of the site selection evaluation score, the address of the business outlet is determined. Compared with the prior art, the scheme of the present application uses the map grid as a dimension, at least uses the real-time updated external data to determine the information point data of each grid, determines the site selection scoring formula of the business outlet according to the attributes of different regions, calculates the site selection evaluation score of each grid according to the information point data and the site selection scoring formula, and determines the address of the business outlet according to the size of the score, thereby improving the scientificity and efficiency of site selection, thereby solving the problem of low site selection efficiency of business outlets in the prior art.

[0167] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for selecting a location for a business outlet, characterized in that: include: Generate an electronic map of the target area, and rasterize the electronic map to obtain a raster map; At least updating external data in real time to a database of a network point electronic map system, wherein the external data at least includes location information of retail stores, population density and housing prices at each location, and the network point electronic map system is a system for managing location information of business outlets; According to the external data, at least information point data of each grid in the grid map is determined, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price; Determining a corresponding site selection evaluation formula according to the administrative area attributes of the grid, and calculating a site selection evaluation score of each grid according to the information point data and the corresponding site selection evaluation formula; The address of the business outlet is determined according to the size of the site selection evaluation score.

2. The method for selecting a business outlet according to claim 1, characterized in that: At least update the external data to the database of the network point electronic map system in real time, including: Acquire the benefit data of the business outlets existing in the target area and the customer asset data in the customer management system to generate asset data, wherein the benefit data is at least the economic benefit data generated within a certain period of time; At least performing data cleaning, data conversion and data integration on the asset data to generate internal data; The internal data is transmitted to the database of the network point electronic map system through the data bus system.

3. The method for selecting a business outlet site according to claim 2, characterized in that: Before determining the corresponding site selection evaluation formula according to the administrative area attribute of the grid, the site selection method further includes: According to the external data, an initial site selection evaluation formula is constructed, wherein the dependent variable of the initial site selection evaluation formula is the site selection evaluation score, the independent variable is the external data, and the weight of each external data in the initial site selection evaluation formula is an unknown number; Determine a relationship between the site selection evaluation scores of different administrative regions and the benefit data and the asset data to obtain a score relationship; According to the internal data of each business outlet, the external data of the grid where the business outlet is located, and the score relationship, the weight corresponding to each external data is determined to obtain the site selection evaluation formula for different administrative regions.

4. The method for selecting a location for a business outlet according to claim 1, characterized in that: The external data also includes location information of banks, location information of small and medium-sized enterprises, location information of commercial gathering points and location information of transportation gathering points. The commercial gathering points are locations where commercial activities are provided and where there is a large flow of people. The transportation gathering points are locations where there is convenient transportation and where there is a large flow of people. Determining at least information point data of each grid in the electronic map according to the external data includes: For the same external data, when there are multiple different values ​​in one grid, the average value of the multiple values ​​is calculated, and the average value is used as the information point data of the grid; Based on the location information of the retail shops, the location information of the banks, the location information of the SMEs, the location information of the commercial gathering points and the location information of the transportation gathering points, the number of the retail shops, the number of the banks, the number of the SMEs, the number of the commercial gathering points and the number of the transportation gathering points in each grid are calculated, and the number of the retail shops, the number of the banks, the number of the SMEs, the number of the commercial gathering points and the number of the transportation gathering points are used as the information point data of the grid.

5. The method for selecting a business outlet site according to claim 3, characterized in that: The method further comprises: In the case where the external data and the internal data change, determining whether the site selection evaluation formula is still applicable; When the site selection evaluation formula is not applicable, the weight in the site selection evaluation formula is updated to obtain the updated site selection evaluation formula.

6. The method for selecting a location for a business outlet according to claim 1, characterized in that: Determining the address of the business outlet according to the site selection evaluation score includes: Comparing the site selection evaluation scores of the grids; The grid with the highest site selection evaluation score is determined as a site selection grid, and the position of the site selection grid is used as the address of the business outlet.

7. The method for selecting a location for a business outlet according to claim 6, characterized in that: Comparing the site selection evaluation scores of the grids includes: Rendering and displaying the grid and the site selection evaluation score in the form of a heat map to generate a first heat map; By comparing the color depths in the first heat map, the location with the darkest color in the first heat map corresponds to the largest site selection evaluation score.

8. A site selection device for a business outlet, characterized in that: include: A division unit generates an electronic map of the target area and performs raster division on the electronic map to obtain a raster map; An updating unit, which updates at least external data in real time to a database of a network point electronic map system, wherein the external data at least includes location information of retail stores, population density and housing prices at each location, and the network point electronic map system is a system for managing location information of business outlets; A first determining unit, based on the external data, determines at least information point data of each grid in the grid map, wherein the information point data at least includes the number of the retail shops and determines the corresponding population density and the housing price; A calculation unit, which determines a corresponding site selection evaluation formula according to the administrative area attribute of the grid, and calculates the site selection evaluation score of each grid according to the information point data and the corresponding site selection evaluation formula; The second determining unit determines the address of the business outlet according to the size of the site selection evaluation score.

9. A computer-readable storage medium, characterized in that: include: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for selecting a location for a business outlet according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing the location selection method for business outlets as described in any one of claims 1 to 7.

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