EA034569B1 - Method and system for geomodelling a network of self-service machines - Google Patents

Abstract

The present technical solution relates, in general, to the field of processing digital data, and in particular to a method and a system for geomodelling a network of self-service machines. The technical result is in line with the technical problem being addressed and is focused on allowing automated determination of locations for installing self-service machines with reference to geoinformation data. The claimed result is achieved by a computer-realizable method for geomodelling a network of self-service machines, in which geographical information containing at least an area of proposed arrangement of at least one self-service machine is produced with the aid of a digital map; borders of an inhabited locality situated in said area are determined on the basis of said information; at least one installation point of at least one self-service machine is determined, wherein the point characterizes at least a building; a set of metrics containing at least financial transaction data in said area is produced; points of possible arrangement of self-service machines are determined and ranked on the basis of said metrics; and the determined one or more points of possible arrangement of self-service machines are shown on the digital map.

Description

Technical field

This technical solution, in General, relates to the field of digital data processing, and in particular to a method and system for geomodeling a network of self-service devices (CSS).

State of the art

To date, the analysis of information for locating the data center in various places is the processing of an array of statistical information in manual mode, which characterizes the subjective approaches in terms of identifying locations to expand the scope of bank customer service using the bank for performing transactions.

Inetco solutions known from the source of information [1] are known from the prior art, which partially try to solve the problem of automated calculation of the most relevant installation locations for new CSSs based on various metrics characterizing the use of CSS in a given territory.

However, the existing drawback is the lack of technical solutions in the field of linking the relevant locations of the geographic information with geo-information data, which will allow more accurately determine the location of the installation of the CSS taking into account the existing infrastructure.

Disclosure of Invention

The technical problem that this solution is aimed at is the automated determination of the places that are preferable for the installation of CSS with reference to the geo-informational data of the territory of the proposed installation.

The technical result coincides with the technical problem being solved and is aimed at providing the function of automated determination of the installation locations of the CSS with reference to geographic information data.

The claimed result is achieved due to the computer-implemented method of geomodeling of the network of CSS, which is obtained using a digital map of geographical information containing at least the area of the proposed location of at least one CSS; determining, based on said information, the boundaries of a settlement located in said region; determine at least one installation point of at least one CSS, and the point characterizes at least the building; get a set of metrics containing at least financial transaction data in the said area; determine and rank points of the possible location of the CSS on the basis of the mentioned metrics and display certain one or more points of the possible location of the CSS on a digital map.

In a particular embodiment of the method, information on the area of the proposed location of the control unit contains vector images of buildings, based on which the boundaries of the area are determined.

In a particular embodiment of the method, the set of metrics further includes statistical data of the region selected from the group: number of population, number of bank branches, places of financial transactions, or a combination thereof.

In a particular embodiment of the method, financial transaction data includes data received from POS-terminals and / or DC located in the area of the alleged installation of CSS.

In a particular embodiment of the method, the following parameters are determined for each CSS location point: geographical coordinates of the point and / or address of the point and / or estimated use efficiency.

In a particular embodiment of the method, the transaction data contains information about the types of transactions.

In a particular embodiment of the method, the type of CSS with the specified functionality is determined by the type of transaction for each point.

The claimed technical solution is also carried out due to the geomodelling system of the CSS network, which contains at least one processor and at least one memory containing machine-readable instructions that, when executed by the processor, implement the steps that generate a digital map by which geographical information is obtained, containing at least the region of the proposed location of at least one CSS; determining, based on said information, the boundaries of a settlement located in said region; determine at least one installation point of at least one CSS, and the point characterizes at least the building; get a set of metrics containing at least financial transaction data in the said area; determine and rank points of the possible location of the CSS on the basis of the mentioned metrics and display certain one or more points of the possible location of the CSS on a digital map.

Brief Description of the Drawings

The signs and advantages of this technical solution will become apparent from the following detailed description of the invention and the accompanying drawings, in which:

FIG. 1 illustrates a sequence of steps for carrying out the claimed method;

FIG. 2 illustrates the steps of processing geographic information data;

FIG. 3 illustrates an example of the analysis of areas for the location of the CSS;

- 1 034569 FIG. 4 illustrates an example of generating CSS placements;

FIG. 5 illustrates a system for implementing the claimed method.

In FIG. Figure 6 shows an example of the interaction of the system (400) to obtain and process the necessary information to ensure the geomodeling process of the DC network.

Terms and Definitions

Below will be described the concepts and terms necessary for understanding this technical solution.

In this technical solution, a system means, including a computer system, a computer (electronic computer), CNC (numerical control), PLC (programmable logic controller), computerized control systems and any other devices that can perform a given, clearly defined sequence of operations (actions, instructions).

By a command processing device is meant an electronic unit or an integrated circuit (microprocessor) that executes machine instructions (programs).

A command processing device reads and executes machine instructions (programs) from one or more data storage devices. Hard drives (HDD), flash memory, ROM (read-only memory), solid state drives (SSD), optical drives can act as storage devices.

A program is a sequence of instructions intended for execution by a control device of a computer or a device for processing commands.

Geoinformation data (GIS data) - objects plotted on a geographic plan, such as roads, buildings, ponds, forests, etc.

Real objects can be divided into two abstract categories: discrete (houses, territorial zones, other buildings) and continuous (relief, precipitation, average annual temperature). Alternatively, synonyms are used for geodata, spatial data, or geospatial data.

Geoprocessing - performing a sequence of operations with geographic data, as a result of which new information is created.

Self-service device - a means of performing financial transactions, in particular an ATM or a payment terminal.

PAK (hardware and software complex) - a set of hardware and software tools that work together to perform one or more similar tasks.

The implementation of the invention

As shown in FIG. 1, a method for geomodeling a network of CSS (100) consists in performing steps aimed at processing various digital data. Processing is typically performed using a computing device, such as a computer or PAC. As input information for solving this problem, GIS data (101), which are digital maps of the territory of the alleged location of CSS, are received. GIS data (101) may have a raster and / or vector structure. The mentioned data, in particular, can display buildings located in a given territory, for example, bank branches, shops, public transport stops, metro stations, etc. GIS data can be processed using well-known software products, such as ArcGIS. GIS data can also be layered, such as a floor plan of a building. Minimally, the data layer can be represented in the form of coordinates of the object (s), values of the attribute (s). GIS data can be a heatmap. A heat map is a representation of a three-dimensional surface on a plane in which the third dimension is represented by color in accordance with a given palette - the correspondence between coordinate and color. If the surface is defined by values on a finite set of points (nodes), then field interpolation algorithms are used to construct the heat map — linear triangulation, the method of minimal curvature, kriging, etc.

In some embodiments, the GIS data is presented in two-dimensional (2D) or three-dimensional (3D) form.

In some embodiments, the GIS data (101) are received in real time from external data sources and are used for analysis separately, which allows you to effectively optimize the processing of GIS data.

GIS data (101) additionally contains metadata, which are data information describing their feature. For example, metadata may contain the following information: who, how and when created this GIS data (101), what license the data has, what is the scale of the data, etc., without limitation.

GIS data (101) can be presented in the data format FGDC, ISO19115 / ISO19139, INSPIRE, GOST R 52573-2006, not limited to.

In some embodiments, the GIS data (101) may be in the following coordinate systems: geographical, projection, and local.

- 2 034569

Coordinate systems are usually identified by their EPSG code.

GIS data (101) can be obtained in the following formats, not limited to: ESRI Shape,

CSV, OSM XML, GeoTIFF.

Next, at step (102), the processing of the obtained data is performed to determine the area of possible placement of CSS. After processing the GIS data, a set of metrics (103) is used, which relates to the area of the proposed location of the DC, based on which the processing of options for the possible location of the DC with the determination of geographical points of installation (104) is carried out. Next, the processed results are ranked and possible location options for the CSS are displayed on a digital GIS map (105).

Next, we consider in more detail the stages of the claimed method (100).

In FIG. Figure 2 presents a detail of the stage of processing GIS data (102).

One of the features of GIS data (101) is their layered organization.

Each layer usually contains information of one type. In this case, the data is organized by the type of object (point, line, polygon), and so on by the meaningful information. For example, one layer may be rivers, another may be roads, and a third may be the borders of countries. This property largely determines the ability to analyze and process various types of data. Different types and formats of data can act as a layer.

Layers can be grouped to help manage information.

For example, if different types of roads are in different layers, they can be grouped into a single group of Roads.

The types of data and terms that are most often used to define the concept of a layer are given below: theme (theme) - a common name for one data layer in any format; coverage — the name for the data layer obtained using Arcinfo software and in a special format; shape-file - name for the data layer obtained using Arcview software and located in a special Shape format; set of objects (feature class) - a common name for a group of objects of the same type (point, line, polygon) that have the same attribute information.

According to the digital information received, which determines the area of possible location of the public property, the first step is to determine the boundaries of the settlement (201) or its part, for example, a district / microdistrict. The determination can be carried out by geographical coordinates, information from the cadastre, the presence of buildings, etc.

Next, the boundaries of the buildings (202) are determined on the selected area. As shown in FIG. 3, areas (310, 320) are determined on the digital map for the alleged placement of CSS. Using the example of a region (310), one or more zones (311) are defined on it, which contains objects (312) that are analyzed as locations for the installation of the CSS. Object (312) can be selected one or more. In this case, the building (312) is determined, the territory of which can be considered as an installation of CSS. Buildings or other structures (312) are determined based on vector models presented as GIS data on a digital map.

After that, at step (203), for each object (312), at least its type is determined, for example, a residential building, a retail area, a bus stop, etc., which is suitable for the installation of a control unit. It is also additionally determined the possibility of the location of the CSS, in particular, on the street, indoors / building. If the possibility of installation inside the object is determined (312), then the parameters of access to the inside of the object are also taken into account, for example, the presence of a pass mode for access to the location of the DC. For each selected area (310, 320), a set of metrics (103) is determined, based on which the most relevant places for installing the CSS are calculated. These metrics may include, but are not limited to, population density in a selected area, the presence of branches of financial organizations (banks, credit organizations), the presence of retail space or other places of financial transactions, the number of transactional transactions with existing social networks, the number of people divided by age and gender groups or combinations thereof.

Information about the number and type of transactions in the area of the proposed installation of the terminal (310, 320) can come from POS-terminals located in trade offices or other places of transactions or from already established ones. In addition to the number of transactions, the set of metrics may include the type of transactions, both committed and requested, but not executed using existing CSS. By the number and type of transactions, it is possible to determine the functionality that should be implemented for the intended placement of CSS.

Data on the population of the analyzed area can be obtained from external data sources, for example, data from the census data banks, sociological studies, etc. Based on the information received, objects (312) of the region (311) are determined that are most relevant for the installation of CSS.

Additionally, external means of fixing the flow of population in the area of the proposed installation of CSS can be used. As such devices can be used surveillance cameras connected to a video analytics tool that provides counting the number of people, as well as recognition of age and gender groups. Also, as a means of calculating the number of people engaged in transactional transactions, the means of calculating customer flow installed at points of sale (stores, shopping centers, markets) can be used. Such devices may also be implemented as cameras and / or presence sensors.

Along with the data of transaction processing operators received, for example, from cash registers and / or POS terminals in retail outlets, information on transaction execution methods, in particular, using payment cards or contactless payments, for example, with using NFC tools (smartphone, smart watch, tablet). The obtained metrics for each region (310, 320) are processed by specialized computing tools, with the help of which, at step (104), one or more CSS locations are determined. Depending on the type of object (312), the structural feature of the object (312) is also determined, for example, the presence of fastening means (wall, frame), and the CSS form factor (built-in, stationary).

Information is also used on the proximity to the analyzed areas of the location of the CA of the branches of banks serving the data of the CA, as well as to organizations providing technical maintenance of the CA. In addition, the degree of protection of objects (312) and remoteness from police stations for operational regulation in case of illegal or vandal actions in relation to the public administration are taken into account.

The information characterizing the metrics is processed by a system implemented on the basis of a PAK or a single computing device. In conjunction with the GIS data from the data of the regions (310, 320) and for each object (312), calculated by the system as valid for placing the CSS, a digital mark (symbol, pictogram) is generated in each mentioned area, which is displayed on a digital map containing at least the geographical coordinates of the object (312) for the installation of CSS. In addition, information is generated with the address of the object (312), the floor of the accommodation unit, etc.

For each analyzed location of the public address, the parameter of the ratio of the presence of bank deposits in the analyzed area to the number of population is also calculated. The calculation can be carried out using a dynamic model of the predicted activity of transactional operations in the field of analysis of the allocation of CSS. Forecasting can be carried out on the basis of gender and age groups of the population and the presence of bank deposits in given groups. Additionally, the appearance of new organizations that implement jobs and appeal to the bank for the issuer of bank salary cards can be taken into account.

If a public transport stop is defined as object (312), then at least the number of public transport routes passing through this stop will be used as a weighting factor.

In the case of metro stations, the passenger flow of this station for a certain time period is taken into account. Passenger traffic data can be obtained from access systems (turnstiles) or using cameras installed at the station.

When analyzing the facility (312) for the location of the DC, when determining metrics that reflect the population density, the number of people with disabilities can be taken into account, which allows identifying objects (312) that contain means for accessing the DC of this category of users, in particular ramps, elevators etc.

For each potential object (312), an efficiency indicator is determined on the basis of the mentioned metrics, which depends on the forecasted number of transactions for a given CSS.

The obtained information about the metrics in the areas of the alleged location of the CSS (310, 320) and GIS data are aggregated and processed by a specialized computing device.

As shown in FIG. 4, after processing the metrics and GIS data on a digital map, several ranked options for placing CSS are formed (313-315). For each calculated location of the installation of the CSS is calculated the predicted performance of the CSS. Additionally, the address of the proposed installation site is displayed.

Also, if the CSS is proposed for installation in a multi-storey building, the floor of its installation and the access mode are determined. Additionally, based on the processed data on the installation of the DC in a specific part of the building, for example, from the end of the building, the exact coordinates of the location of the DC are formed for their further use in applications for navigation to the location of the DC, for example, 2GIS application.

Additionally, the type of CSS with the corresponding functionality can be determined by a given set of metrics that are involved in the processing of data for a specific area (310, 320).

In FIG. 5 shows a system (400) that implements the steps of the claimed method (100).

In general, system (400) comprises components such as one or more processors (401), at least one memory (402), data storage means (403), input / output interfaces (404), and I / O means (405) ), a means of networking (406), which are combined via a universal bus (410).

The processor (401) performs the basic computational operations necessary for processing data when performing method (100). The processor (401) executes the necessary machine-readable instructions,

- 4 034569 contained in RAM (402).

Memory (402), as a rule, is made in the form of RAM and contains the necessary software logic that provides the required functionality.

The data storage means (403) can be implemented in the form of HDD, SSD disks, array raids, flash memory, optical information storage devices (CD, DVD, MD, Blue-Ray disks), etc. Means (403) allow long-term storage of various types of information, for example, the history of processing transactional requests (logs), user identifiers, etc.

Interfaces (404) are standard tools for connecting and working with a server (400), for example, USB, RS232, RJ45, LPT, COM, HDMI, PS / 2, Lightning, FireWire, etc.

The choice of interfaces (404) depends on the specific system (400), which can be implemented on the basis of a wide class of devices, for example, a personal computer, mainframe, laptop, server cluster, thin client, smartphone, etc.

As I / O data means (405), a keyboard, joystick, display (touch screen), projector, touchpad, mouse, trackball, light pen, speakers, microphone, etc. can be used.

Network communication tools (406) are selected from devices that provide network reception and data transfer, for example, an Ethernet card, WLAN / Wi-Fi module, Bluetooth module, BLE module, NFC module, IrDa, RFID module, GSM modem, etc. Using means (405), the organization of data exchange between the server (400) and the USB (300) is provided via a wired or wireless data channel, for example, WAN, PAN, LAN, Intranet, Internet, WLAN, WMAN or GSM.

In FIG. Figure 6 shows an example of the interaction of the system (400) to obtain and process the necessary information to ensure the geomodeling process of the DC network.

As mentioned above, from the territorial objects (440), analyzed for the deployment of the public domain, various information is received, forming metrics for the zones of the public domain location.

The information received from objects (440) is transmitted via a data transmission network, such as the Internet (450), to the metrics database (420), as well as to the GIS system (430). The GIS system (430) stores up-to-date geographical information about the territory of objects (440), in particular, addresses of objects, borders of territories, municipal districts, bank branches, companies, trading places, bus stops, etc.

Using a GIS system (430), an up-to-date digital map of the analyzed area of CSS placement is formed with the definition of objects for the installation of CSS.

The computational work is carried out using the system (400), with the help of which the process (401) is used to process the data stored in the system (430), and the metrics database (420), to determine the installation locations of the DC and their geographical coordinates.

Sources of information.

Electronic resource: URL: https://www.inetco.com/blog/2016/09/using-transaction-insights-to-improveatm-placement/ (accessed: 12.21.2017).

Claims (9)

CLAIM 1. A computer-implemented method for geomodeling a network of self-service devices (CS), comprising the steps of obtaining, using a digital map, geographic information containing at least the area of the intended location of at least one CSS; determining, based on said information, the boundaries of a settlement located in said region; determining at least one point of the proposed installation location of at least one CSS, the point characterizing a structure suitable for installing the CSS; get a set of metrics containing at least financial transaction data in the mentioned area, received from POS-terminals and / or CS located in the area of the alleged installation of CSS; determine, on the basis of the obtained set of metrics, at least the efficiency of using the CSS at the prospective points of their placement, ranking the points and displaying certain one or more points of the proposed location of the CSS on a digital map. 2. The method according to claim 1, characterized in that they determine and display on a digital map the coverage areas of the bank's service areas. 3. The method according to claim 1, characterized in that the location area is a city, district, region, street. 4. The method according to claim 1, characterized in that the information on the area of the proposed location of the CSS contains vector images of buildings, based on which the boundaries of the region are determined. - 5 034569 5. The method according to claim 1, characterized in that the set of metrics further includes statistical data of the region selected from the group: number of population, number of bank branches, places of financial transactions, or a combination thereof. 6. The method according to claim 1, characterized in that for each location point of the CSS determine the following parameters: geographical coordinates of the point and / or address of the point. 7. The method according to claim 1, characterized in that the transaction data contains information about the types of transactions. 8. The method according to claim 7, characterized in that according to the type of transaction for each point, the type of CSS with the specified functionality is determined. 9. A geomodeling system for a network of self-service devices (CSS), comprising at least one processor and at least one memory containing machine-readable instructions, which, when executed by the processor, implement the steps of generating a digital map for receiving geographic information containing at least the area of the proposed location of at least one CSS; determining, based on said information, the boundaries of a settlement located in said region; determining at least one point of the proposed installation location of at least one CSS, the point characterizing at least a structure suitable for installing the CSS; get a set of metrics containing at least financial transaction data in the mentioned area, received from POS-terminals and / or CS located in the area of the alleged installation of CSS; determine, on the basis of the obtained set of metrics, at least the efficiency of using the CSS at the prospective points of their placement, ranking the points and displaying certain one or more points of the proposed location of the CSS on a digital map.