CN111401949A - Business activity calculation method and device and storage medium - Google Patents
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Abstract
The invention discloses a business vitality calculation method, a device and a storage medium, wherein the method comprises the steps of obtaining base contour data including the position of a base, determining the business category including map hotspots and map hotspot information including the positions of the map hotspots in a preset range according to the position of the base, classifying the map hotspots according to the business category, calculating the influence weight of various map hotspots, finally dividing the preset range into a plurality of areas, calculating the heat power value of each area according to the business category, the positions of the map hotspots and the influence weight of various map hotspots, wherein the heat power value is used for representing the business vitality of the areas; the method and the device fully consider the influence ranges of different types of map hotspots, visually display the business activity condition around the base, solve the problem of inaccurate data caused by the randomness of data filling in the Berlin noise algorithm, solve the problem of smoothness, and improve the accuracy of the calculation of the business activity condition around the base.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to a commercial activity calculation method, a commercial activity calculation device and a storage medium.
Background
Real estate investment has the characteristics of large investment and long period, and the income and the risk of the real estate are comprehensively influenced by various factors such as economic environment, natural environment, social environment and the like. In a real estate investment for profitability, it is its ultimate goal to achieve the greatest profitability and the best economic efficiency with the least risk and the least consumption. Therefore, whether the real estate decision is correct or not becomes the key point for success or failure of investment, and the business activity around the base is high or low, which is an extremely important support point for real estate decision.
Therefore, when real estate decision is made, it is necessary to obtain business activity conditions around the base, and to show thermodynamic conditions of the base, that is, business activity conditions, according to data such as names, categories, coordinate positions, and contours of business hotspots (POI) around the base.
In the prior art, a nuclear density map, Berlin noise, polynomial interpolation and the like are used for calculating the thermal force, but the methods for displaying the thermal force of a base have defects. The defect of the thermodynamic display of the nuclear density map is that when the number of samples is small enough, the density distribution function does not conform to the actual situation, so that the thermodynamic situation of the obtained base is not accurate enough; as a pseudorandom vector is determined, the function structure selection of the pseudorandom vector is very critical, the randomness of an image is very high, and the thermodynamic condition of an obtained base is not accurate enough; finally, the smoothness of the thermal display by polynomial interpolation is still insufficient.
Disclosure of Invention
The invention provides a commercial activity calculation method, a commercial activity calculation device and a storage medium, and aims to solve the problems that in the prior art, the base thermal condition is not accurate enough, and the smoothness of thermal display of the base is not enough.
A business vitality calculation method comprising:
obtaining base profile data, the base profile data including a location of the base;
determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
classifying the map hotspots according to the business categories, and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business activity in the preset range;
dividing the preset range into a plurality of areas, and calculating the heat value of each area according to the business category, the positions of the map hot spots and the influence weight of each type of map hot spots, wherein the heat value is used for representing the business vitality of the areas.
Further, after the calculating the thermal power value of each area according to the business category, the location of the map hot spot and the influence weight of each type of map hot spot, the method further includes:
mapping the thermal force value to a color interval using a color value;
and filling the color corresponding to the thermal force value into the corresponding area to obtain a visual thermal effect graph.
Further, the map hotspot information also includes a contour and an area of the map hotspot, the map hotspot is classified according to the business category, and the influence weight of each type of map hotspot is calculated, including:
classifying the map hotspots according to the business categories to obtain a plurality of map hotspot categories;
setting different preset weights for different map hotspot categories;
and calculating the influence weight of each type of map hot spots according to the preset weight, the outline and the area of the map hot spots.
Further, the calculating the thermal power value of each area according to the business category, the position of the map hot spot and the influence weight of each type of map hot spot comprises:
determining the categories of all the map hotspots in each area according to the positions of the map hotspots and the business categories;
and determining the heat power value of each area according to the influence weight of the map hotspots of each type.
Further, the dividing the preset range into a plurality of regions includes:
and dividing the preset range into m × m square grids.
A business vitality computing device comprising:
an acquisition module to acquire base profile data, the base profile data including a location of the base;
the determining module is used for determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
the first calculation module is used for classifying the map hotspots according to the business categories and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business activity within the preset range;
and the second calculation module is used for dividing the preset range into a plurality of areas, and calculating the heat value of each area according to the business category, the positions of the map hot spots and the influence weight of each type of map hot spots, wherein the heat value is used for representing the business activity of the area.
Further, the second calculation module is further configured to:
mapping the thermal force value to a color interval using a color value;
and filling the color corresponding to the thermal force value into the corresponding area to obtain a visual thermal effect graph.
Further, the first calculation module is specifically configured to:
classifying the map hotspots according to the business categories to obtain a plurality of map hotspot categories;
setting different preset weights for different map hotspot categories;
and calculating the influence weight of each type of map hot spots according to the preset weight, the outline and the area of the map hot spots.
A business vitality calculation apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above business vitality calculation method when executing the computer program.
A readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above-described business vitality calculation method.
According to the commercial activity calculation method, the device and the storage medium, the base profile data is obtained, the base profile data comprises the position of the base, the map hotspot information in the preset range is determined according to the position of the base, the map hotspot information comprises the commercial category of the map hotspot and the position of the map hotspot, the map hotspot is classified according to the commercial category, the influence weight of various map hotspots is calculated, the influence weight is the influence of various map hotspots on the commercial activity in the preset range, the preset range is divided into a plurality of areas, the thermal value of each area is calculated according to the commercial category, the position of the map hotspot and the influence weight of various map hotspots, and the thermal value is used for representing the commercial activity of the area; according to the method, the map hotspot information in the preset range of the base is obtained, the map hotspots are classified and the influence weight is calculated, and finally the influence weight of the map hotspot is displayed according to the longitude and latitude of the data, so that the influence ranges of different types of map hotspots are fully considered, the business vitality conditions around the base are visually displayed, the problem of inaccurate data caused by the randomness of data filling in a Berlin noise algorithm is solved, the problem of smoothness is also solved, and the accuracy of calculation of the business vitality conditions around the base is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of an application environment of a noise estimation method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for calculating commercial viability in accordance with an embodiment of the present invention;
FIG. 3 is another schematic flow chart diagram illustrating a method for calculating commercial viability in accordance with an embodiment of the present invention;
FIG. 4 is a flowchart illustrating an implementation of step S30 of the method for calculating business vitality according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a commercial viability computing apparatus in accordance with an embodiment of the present invention;
fig. 6 is another schematic structural diagram of a commercial activity computing apparatus according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The business vitality calculating method provided by the embodiment of the invention can be applied to the application environment shown in fig. 1, wherein the client communicates with the business vitality calculating device through a network. The method comprises the steps that after a commercial activity calculation device obtains contour data of a base, map hotspot information including commercial categories of map hotspots and positions of the map hotspots in a preset range of the base is determined according to the positions of the base, the map hotspots are classified according to the commercial categories, influence weights of various map hotspots are calculated, finally the preset range of the base is divided into a plurality of areas, thermodynamic values of the areas for representing the commercial activities of the areas are calculated, and after a client receives the thermodynamic values of the areas, the thermodynamic values of the areas are displayed to a client in the form of a thermodynamic effect graph. Among other things, the client may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The business activity computing apparatus may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In this embodiment, after the reception noise of each area is calculated, the client displays the thermal value of each area to the client in the form of a thermal effect graph, which is only an exemplary illustration.
In an embodiment, as shown in fig. 2, a method for calculating business vitality is provided, which is illustrated by using the business vitality calculating apparatus in fig. 1 as an example, and includes the following steps:
s10: base profile data is acquired, the base profile data including a location of a base.
Profile data of the azits input by the user is acquired, and the profile data of the azits comprises the positions of the azits.
The position of the base can be determined by longitude and latitude coordinates of the base outline, and the outline data of the base can comprise the area of the base, the base outline, the longitude coordinates and the latitude coordinates of the base outline. The profile data of the base can be received by the client and input by the user in the commercial activity computing device.
In this embodiment, the position of the base is determined by the latitude and longitude coordinates of the base profile as an exemplary description, in other embodiments, the position of the base may be determined by other manners, and the profile data of the base may include other data besides the position of the base, which is not described herein again.
S20: determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
after the position information of the base input by the user is obtained, map hotspot information of the periphery in a preset range of the base is obtained by taking the base as a center, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot.
The business category of the map hotspot (POI) includes: office buildings, cells, stores, banks, restaurants, shopping centers, and the like; the position of the map hot spot POI can be confirmed through the longitude and latitude coordinates of the map hot spot outline.
The method for acquiring the map hotspot information of the base comprises the following steps: and taking the base as a center, capturing real-time data of peripheral facilities of the target base in real time through API (application program interface) interfaces provided by third-party map service providers, urban government websites, house websites and other third-party websites, and then screening and analyzing the captured real-time data.
For example, the position information of the base input by the user is acquired as a Shenzhen city A cell, map hotspot information in a 1km range around the Shenzhen city A cell, business category information of an office building, a cell, a shop, a bank, a restaurant, a shopping center and the like and corresponding position information are acquired with the Shenzhen city A cell as a center.
In this embodiment, the preset range of 1km is an exemplary description, and in other embodiments, the preset range may be other ranges, which is not described herein again.
It should be noted that, when map hotspot information is acquired through the API interface provided by the third-party map service provider, because the API requests each time have a quantity limitation, the map needs to be cut into rectangular areas by using a recursive method to ensure the integrity of the acquired map hotspot information, and the principle of acquiring map hotspot information by using API interfaces of other third-party platforms is similar. The method for cutting the map into the rectangular area by using the recursion method comprises the following steps: the bounding box of the base is used as a root node, the base is divided into a plurality of rectangles, and the number of map hot spots in each rectangle is less than 1000.
For example, based on Shenzhen, the number of map hotspots in Shenzhen is greater than 1000, and the manner of cutting the map into rectangular regions by using the recursive method is as follows: if the map hot spots in the rectangles exceed 1000, dividing Shenzhen into 4 equal small rectangles, and recursively creating 4-way trees, wherein the number of the map hot spots in each minimum rectangle is less than 1000.
S30: classifying the map hotspots according to the business categories, and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business vitality within a preset range.
After map hotspot information in a preset range is determined according to the position of the base, classification is carried out according to the business categories of all the acquired map hotspots, and influence weights of various map hotspots are calculated, wherein the influence weights are influences of the various map hotspots on business vitality in the preset range.
The map hot spots are classified according to business categories, the map hot spots can be classified into different POI categories according to the business categories of the map hot spots, the POI categories mainly comprise seven major categories of catering services, living services, shopping services, sports and leisure services, company enterprises, commercial residences and financial insurance services, and each major category comprises a plurality of minor categories.
For example, after map hotspots of an office building, a cell, a shop, a supermarket, a bank, a school, a restaurant, a shopping center, and the like are acquired, the office building and the cell are classified as commercial houses, the shop is classified as a life service, the bank is classified as a financial insurance service, the restaurant is classified as a dining service, and the shopping center and the supermarket are classified as a shopping service.
In this embodiment, the classification of map hotspots of office buildings, cells, shops, supermarkets, banks, schools, restaurants, shopping centers, and the like into different map hotspot categories is merely an exemplary illustration, and in other embodiments, there are classification manners of other map hotspot categories, which are not described herein again.
S40: the preset range is divided into a plurality of areas, the thermodynamic value of each area is calculated according to the business category, the position of the map hot spot and the influence weight of various map hot spots, and the thermodynamic value is used for representing the business activity of the areas.
After map hotspots are classified according to business categories and influence weights of various map hotspots are calculated, a preset range of a base is divided into a plurality of areas, and a heat value of each area is calculated according to the business categories, the positions of the map hotspots and the influence weights of the various map hotspots, wherein the heat value is used for representing the business activity of the area.
Specifically, the calculating the thermodynamic value of each area according to the business category, the location of the map hot spot and the influence weight of various map hot spots includes:
s41: and determining the categories of all map hot spots in each area according to the positions and business categories of the map hot spots.
After the preset range is divided into a plurality of areas, all map hot spots in each area are determined according to the position of each map hot spot, and the category of each map hot spot is determined according to the business category of each map hot spot. All map hotspots in each area can be determined according to the longitude and latitude coordinates of each map hotspot and the longitude and latitude coordinates of each area, and the category of all map hotspots in each area is further determined according to all map hotspots in each area.
S42: and determining the heat value of each area according to the influence weight of the hot spots of various maps.
After determining the categories of all map hot spots in each area according to the positions of the map hot spots, calculating the heat value of each area according to the categories of all map hot spots and the corresponding influence weights of the categories.
For example, there are two categories of business residences and financial insurance services in region 1, where the influence weight of business residences is n1, and the influence weight of financial insurance is n2, then the heat value in region 1 is n1+ n2, i.e., the business vitality of region 1 is n1+ n 2.
In this embodiment, the thermal value in the area 1 is n1+ n2 as an exemplary illustration, and in other embodiments, the thermal value in the area 1 has other calculation manners, which is not described herein again.
The preset range of the base is divided into a plurality of areas, and the preset range is divided into m × m square grids. The grid size is determined by cutting a preset range with the base as the center into m × m grids which are small enough, wherein the size of each grid has no fixed number and can be determined according to the required pattern precision and smoothness, algorithm time overhead and the like.
For example, the preset range of the base is 1km, m is 100, that is, the outline within the range of 1km of the base is divided into 100 × 100 square grids, one grid is set about every 10 meters in consideration of the time overhead of the algorithm, the graphic accuracy and the like, and after the preset range of the base is divided into 100 × 100 square grids, the thermal value of each grid is calculated according to the business category, the position of the map hot spot and the influence weight of each map hot spot, so as to obtain the business activity condition of each grid. The greater the thermodynamic value, the higher the commercial viability of the corresponding area.
In the embodiment, by acquiring base profile data, the base profile data comprises the position of a base, determining map hotspot information in a preset range according to the position and business category of the base, the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot, classifying the map hotspot according to the business category, calculating the influence weight of various map hotspots, wherein the influence weight is the influence of various map hotspots on business vitality in the preset range, finally dividing the preset range into a plurality of areas, calculating the heat power value of each area according to the business category, the position of the map hotspot and the influence weight of various map hotspots, and the heat power value is used for representing the business vitality of the areas; according to the method, the map hotspot information in the preset range of the base is obtained, the map hotspots are classified and the influence weight is calculated, the influence weight of the map hotspot is displayed according to the longitude and latitude of the data, the influence ranges of map hotspots of different types are fully considered, the business vitality conditions around the base are visually displayed, the problem of inaccurate data caused by the randomness of data filling in a Berlin noise algorithm is solved, the smoothness problem is solved, the accuracy of calculation of the business vitality conditions around the base is improved, and the real estate decision can be conveniently carried out by a subsequent ground producer according to the business vitality of each area.
In an embodiment, as shown in fig. 3, after the step S40, namely dividing the preset range into a plurality of areas, and calculating the thermal value of each area according to the business category, the location of the map hot spot, and the influence weight of each type of map hot spot, the method specifically includes the following steps:
s51: the thermal value is mapped to a color interval using a color value.
Different color intervals are divided according to the magnitude of the thermal value, the larger the thermal value is, the larger the color value is, and the darker the color mapped by the thermal value is. Wherein the correspondence of thermal values to color values is a method using color values mapped to a blue-to-red hexadecimal color interval.
For example, the thermal value may be visualized as a blue interval when the thermal value is small, the thermal value may be visualized as a green interval when the thermal value is medium, and the thermal value may be visualized as a red interval when the thermal value is large.
In this embodiment, the magnitude level of the thermal force value and the corresponding color interval are only exemplary illustrations, and in other embodiments, the magnitude level of the thermal force value and the corresponding color interval may be other, which is not described herein again.
S52: and filling the color corresponding to the thermal force value into the corresponding area to obtain a visual thermal effect graph.
Dividing the preset range into a plurality of areas, calculating the thermal value of each area according to the business category, the position of the map hot spot and the influence weight of various map hot spots, and filling the color corresponding to the thermal value into each area to finally obtain a visual thermal effect graph. In this embodiment, the color depth is used as the color differentiation, and the darker the color is, the larger the thermal value is, and the higher the commercial activity of the corresponding region is.
In this embodiment, the thermal effect diagram is merely an exemplary illustration, and in other embodiments, for example, the intensity of the chromaticity of red and blue may also be used as the visualization color, which is not described herein again.
In this embodiment, after calculating the thermal value of each area according to the business category, the position of the map hotspot and the influence weight of various map hotspots, mapping the thermal value to a color interval by using a color value, filling the color corresponding to the thermal value into the corresponding area to obtain a visual thermal effect graph, distinguishing the thermal value in different colors according to the thermal value, and filling the corresponding color into each area to visually display the thermal effect graph.
In an embodiment, the map hotspot information further includes a contour and an area of the map hotspot, as shown in fig. 5, in step S30, the map hotspot is classified according to a business category, and the influence weight of each type of map hotspot is calculated, which specifically includes the following steps:
s31: and classifying the map hotspots according to the business categories to obtain a plurality of map hotspot categories.
After map hotspot information in a preset range is determined according to the position of the base, the map hotspot information is classified according to the business categories of all the acquired map hotspots to obtain a plurality of map hotspot categories.
The map hotspot categories mainly comprise seven major categories of catering services, life services, shopping services, sports and leisure services, company enterprises, commercial residences and financial insurance services, and each major category comprises a plurality of minor categories.
For example, after map hotspots of an office building, a cell, a shop, a supermarket, a bank, a school, a restaurant, a shopping center, and the like are acquired, the office building and the cell are classified as commercial houses, the shop is classified as a life service, the bank is classified as a financial insurance service, the restaurant is classified as a dining service, and the shopping center and the supermarket are classified as a shopping service.
In this embodiment, the map hotspot categories are dining service, life service, shopping service, sports and leisure service, company enterprise, business residence, and financial insurance service, which are only exemplary illustrations, and in other embodiments, the map hotspot categories may be other, and are not described herein again.
S32: and setting different preset weights for different map hotspot categories.
After obtaining a plurality of map hotspot categories, different preset weights are set for different map hotspot categories, the preset weight of each map hotspot category can be determined by a client in a user-defined manner, and the preset weight is determined according to the influence degree of each map hotspot category on the commercial activity in the area.
For example, the preset weight of the catering service is N1, the preset weight of the living service is N2, the preset weight of the shopping service is N3, the preset weight of the sports leisure service is N4, the preset weight of the company enterprise is N5, the preset weight of the business residence is N6, and the preset weight of the financial insurance service is N7.
In this embodiment, the type of each map hotspot and the corresponding preset weight thereof are only exemplary, and in other embodiments, the type of each map hotspot and the corresponding preset weight thereof may be other, which is not described herein again.
S33: and calculating the influence weight of various map hot spots according to the preset weight and the outline and the area of the map hot spots.
After different preset weights are set for different map hotspot types, the influence weight of each type of map hotspot is calculated according to the preset weight of each type of map hotspot and the outline and area of the map hotspot.
Specifically, the influence weight of the map hot spot with the contour is greater than that of the map hot spot without the contour, so if the map hot spot has the contour, the weight is increased on the basis of the preset weight, and the influence weight is increased in proportion to the area of the map hot spot contour, so the increased weight is increased in proportion to the area of the map hot spot.
For example, a map hotspot of a sports leisure service has no contour, a map hotspot of a dining service has a contour and an area of X, a map hotspot of a commercial residence has a contour and an area of 2X, the weights of the dining service and the commercial residence are increased, and the ratio of the impact weight of the dining service to the impact weight of the commercial residence is 1: 2.
In the embodiment, map hotspots are classified according to business categories to obtain a plurality of map hotspot categories, different preset weights are set for different map hotspot categories, influence weights of various map hotspots are calculated according to the preset weights, outlines and areas of the map hotspots, the influence weights of different map hotspot categories are further determined according to the outlines and the areas of the map hotspots, calculation of the influence weights of the different map hotspot categories is refined, the calculated influence weights of the various categories are more accurate, and a smoother heat value can be obtained subsequently.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, a business vitality calculating apparatus is provided, and the business vitality calculating apparatus corresponds to the business vitality calculating methods in the above embodiments one to one. As shown in fig. 5, the commercial activity calculation apparatus includes an acquisition module 501, a determination module 502, a first calculation module 503, and a second calculation module 504. The functional modules are explained in detail as follows:
an obtaining module 501, configured to obtain base profile data, where the base profile data includes a location of the base;
a determining module 502, configured to determine map hotspot information within a preset range according to the location of the base, where the map hotspot information includes a business category of a map hotspot and a location of the map hotspot;
a first calculating module 503, configured to classify the map hotspots according to the business category, and calculate influence weights of various map hotspots, where the influence weights are influences of the various map hotspots on business activity within the preset range;
the second calculating module 504 is configured to divide the preset range into a plurality of areas, and calculate a thermal value of each area according to the category of the map hot spot, the location of the map hot spot, and the influence weight of each type of map hot spot, where the thermal value is used to represent the business activity of the area.
The first calculating module 503 is specifically configured to:
classifying the map hotspots according to the business categories to obtain a plurality of map hotspot categories;
setting different preset weights for different map hotspot categories;
and calculating the influence weight of each type of map hot spots according to the preset weight, the outline and the area of the map hot spots.
The second calculating module 504 is specifically configured to:
determining the categories of all map hotspots in each region according to the positions of the map hotspots;
and determining the heat power value of each area according to the influence weight of the map hotspots of each type.
Wherein the second computing module 504 is further configured to:
mapping the thermal force value to a color interval using a color value;
and filling the color corresponding to the thermal force value into the corresponding area to obtain a visual thermal effect graph.
The second calculating module 504 is specifically configured to:
and dividing the preset range into m × m square grids.
For the specific definition of the commercial activity calculating device, reference may be made to the above definition of the commercial activity calculating method, which is not described herein again. The various modules in the commercial viability computing means described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a business vitality computing apparatus is provided, which may be a computer device, the internal structure of which may be as shown in fig. 6. The commercial viability computing device comprises a processor, a memory, a network interface, a display screen and an input device connected by a system bus. Wherein the processor of the commercial viability computing means is arranged to provide computing and control capabilities. The memory of the commercial activity computing device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the commercial viability computing device is used for communicating with an external server through a network connection. The computer program is executed by a processor to implement a business vitality calculation method.
In one embodiment, a commercial viability computing apparatus is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
obtaining base profile data, the base profile data including a location of the base;
determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
classifying the map hotspots according to the business categories, and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business activity in the preset range;
dividing the preset range into a plurality of areas, and calculating the heat value of each area according to the category of the map hot spot, the position of the map hot spot and the influence weight of each type of map hot spot, wherein the heat value is used for representing the commercial activity of the area.
In one embodiment, a readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, performs the steps of:
obtaining base profile data, the base profile data including a location of the base;
determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
classifying the map hotspots according to the business categories, and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business activity in the preset range;
dividing the preset range into a plurality of areas, and calculating the heat value of each area according to the category of the map hot spot, the position of the map hot spot and the influence weight of each type of map hot spot, wherein the heat value is used for representing the commercial activity of the area.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method of business vitality calculation, comprising:
obtaining base profile data, the base profile data including a location of the base;
determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
classifying the map hotspots according to the business categories, and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business activity in the preset range;
dividing the preset range into a plurality of areas, and calculating the heat value of each area according to the business category, the positions of the map hot spots and the influence weight of each type of map hot spots, wherein the heat value is used for representing the business vitality of the areas.
2. The business vitality calculation method of claim 1, wherein after calculating the heating power value of each of the areas according to the business category, the location of the map hotspot, and the influence weight of each type of map hotspot, the method further comprises:
mapping the thermal force value to a color interval using a color value;
and filling the color corresponding to the thermal force value into the corresponding area to obtain a visual thermal effect graph.
3. The business activity calculation method of claim 2, wherein the map hotspot information further comprises a contour and an area of the map hotspot, and the classifying the map hotspot according to the business category and calculating the influence weight of each type of the map hotspot comprises:
classifying the map hotspots according to the business categories to obtain a plurality of map hotspot categories;
setting different preset weights for different map hotspot categories;
and calculating the influence weight of each type of map hot spots according to the preset weight, the outline and the area of the map hot spots.
4. The business vitality calculation method of claim 3, wherein calculating the thermodynamic value of each of the areas according to the business category, the location of the map hotspot, and the influence weight of each type of map hotspot comprises:
determining the categories of all the map hotspots in each area according to the positions of the map hotspots and the business categories;
and determining the heat power value of each area according to the influence weight of the map hotspots of each type.
5. The business vitality calculation method according to any one of claims 1 to 4, wherein the dividing the preset range into a plurality of areas comprises:
and dividing the preset range into m × m square grids.
6. A business vitality calculation apparatus, comprising:
an acquisition module to acquire base profile data, the base profile data including a location of the base;
the determining module is used for determining map hotspot information within a preset range according to the position of the base, wherein the map hotspot information comprises the business category of the map hotspot and the position of the map hotspot;
the first calculation module is used for classifying the map hotspots according to the business categories and calculating influence weights of various map hotspots, wherein the influence weights are influences of the various map hotspots on business activity within the preset range;
and the second calculation module is used for dividing the preset range into a plurality of areas, and calculating the heat value of each area according to the business category, the position of the map hot spot and the influence weight of each type of map hot spot, wherein the heat value is used for representing the business activity of the area.
7. The business vitality calculation apparatus of claim 6, wherein the second calculation module is further to:
mapping the thermal force value to a color interval using a color value;
and filling the color corresponding to the thermal force value into the corresponding area to obtain a visual thermal effect graph.
8. The business vitality calculation apparatus of claim 6, wherein the first calculation module is specifically configured to:
classifying the map hotspots according to the business categories to obtain a plurality of map hotspot categories;
setting different preset weights for different map hotspot categories;
and calculating the influence weight of each type of map hot spots according to the preset weight, the outline and the area of the map hot spots.
9. A commercial viability computing apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the commercial viability computing method according to any one of claims 1 to 5.
10. A readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the business vitality calculation method according to any one of claims 1 to 5.
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Application publication date: 20200710 |