CN110363434B - Method and device for determining delivery place of self-service teller machine - Google Patents
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Abstract
The invention discloses a method and a device for determining a delivery place of a self-service teller machine, wherein the method comprises the following steps: acquiring a monitoring image of each self-service teller machine deployed in each delivery area, and determining an advertising effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, wherein one or more self-service teller machines are deployed in each delivery area; acquiring service data of each self-service teller machine in each delivery area, and determining a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area; calculating a comprehensive effect index of each launching area according to the advertising effect index and the service effect index of each launching area based on a preset weight parameter; and determining a throwing place to be thrown into the self-service teller machine according to the comprehensive effect index of each throwing area. The invention can comprehensively analyze the advertising effect and the actual business effect of the self-service teller machine to determine the delivery place of the self-service teller machine.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a method and a device for determining a delivery place of a self-service teller machine.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
The self-service teller machine is an electronic device which is put in public places such as shopping malls, office buildings and the like by banks and is convenient for users to self-service business such as deposit and withdrawal. The bank puts in the self-service teller machine in the public places usually needs to pay high place renting fees, security fees, electricity consumption fees and the like, and the fees can increase the cost of putting in the self-service teller machine by the bank.
Therefore, the method and the device can effectively analyze the putting effect of the self-service teller machines in different putting places, help the banks to reasonably distribute the putting places of the self-service teller machines, save the cost and improve the income.
Disclosure of Invention
The embodiment of the invention provides a method for determining a delivery place of a self-service teller machine, which is used for solving the technical problem that no quantification basis exists when the delivery place of the self-service teller machine is determined in the prior art, and comprises the following steps: acquiring a monitoring image of each self-service teller machine deployed in each delivery area, and determining an advertising effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, wherein one or more self-service teller machines are deployed in each delivery area, and the position distance between the self-service teller machines does not exceed a preset threshold value; acquiring service data of each self-service teller machine in each delivery area, and determining a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area; based on a preset weight parameter, calculating a comprehensive effect index of each putting area according to the advertising effect index and the service effect index of each putting area, wherein the weight parameter comprises: a first weight value of the advertisement effect index and a second weight value of the service effect index; determining a throwing place of the self-service teller machine to be thrown according to the comprehensive effect index of each throwing area;
the method comprises the following steps of acquiring a monitoring image deployed in each self-service teller machine of each delivery area, and determining the advertising effect index of each delivery area according to the monitoring image of each self-service teller machine of each delivery area, wherein the advertising effect index comprises the following steps:
shooting a visual field area of each self-service teller machine according to a fixed time interval to obtain a plurality of monitoring images arranged by each self-service teller machine according to a time sequence in a preset time period;
traversing the multiple monitoring images, and calculating Euclidean distances between two adjacent images to obtain multiple Euclidean distances;
traversing the Euclidean distances, calculating the variance of two adjacent Euclidean distances, and recording the advertisement active times once under the condition that the variance of two adjacent Euclidean distances is larger than the sum of the average variance of the Euclidean distances and two standard deviations until the advertisement active times of each self-service teller in the preset time period are recorded;
determining an advertisement effect index of each self-service teller machine in the preset time period according to the advertisement activity times of each self-service teller machine in the preset time period;
calculating an average value of the advertising effect indexes of the self-service teller machines in each delivery area in the preset time period to obtain the advertising effect index of each delivery area;
the method includes the steps of obtaining service data of each self-service teller machine in each delivery area, and determining a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area, wherein the method includes the following steps:
acquiring service data of each self-service teller machine in the preset time period;
calculating a service effect index of each self-service teller machine in the set time period according to the service data of each self-service teller machine in the set time period;
and calculating the average value of the business effect indexes of the self-service teller machines in each releasing area in the preset time period to obtain the business effect index of each releasing area.
The embodiment of the invention also provides a device for determining the putting place of the self-service teller machine, which is used for solving the technical problem that no quantification basis exists when the putting place of the self-service teller machine is determined in the prior art, and comprises the following components: the advertising effect index determining unit is used for acquiring a monitoring image of each self-service teller machine deployed in each delivery area and determining an advertising effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, wherein one or more self-service teller machines are deployed in each delivery area, and the position distance between the self-service teller machines does not exceed a preset threshold value; the business effect index determining unit is used for acquiring the business data of each self-service teller machine in each delivery area and determining the business effect index of each delivery area according to the business data of each self-service teller machine in each delivery area; the comprehensive effect index determining unit is used for calculating the comprehensive effect index of each putting area according to the advertising effect index and the service effect index of each putting area based on a preset weight parameter, wherein the weight parameter comprises the following components: a first weight value of the advertisement effect index and a second weight value of the service effect index; the releasing place determining unit is used for determining releasing places of the self-service teller machines to be released according to the comprehensive effect indexes of all releasing areas;
wherein the advertising effect index determining unit includes:
the self-service teller machine monitoring image acquisition module is used for shooting a visual field area of each self-service teller machine according to a fixed time interval to obtain a plurality of monitoring images arranged by each self-service teller machine according to a time sequence in a preset time period;
the monitoring image processing module is used for traversing the monitoring images, calculating the Euclidean distances between two adjacent images and obtaining a plurality of Euclidean distances;
the advertisement active time counting module is used for traversing the Euclidean distances, calculating the variance of two adjacent Euclidean distances, and recording the advertisement active time for one time under the condition that the variance of two adjacent Euclidean distances is larger than the sum of the average variance of the Euclidean distances and two standard deviations until the advertisement active time of each self-service teller in the preset time period is recorded;
the self-service teller machine advertisement effect index determining module is used for determining the advertisement effect index of each self-service teller machine in the preset time period according to the advertisement activity times of each self-service teller machine in the preset time period;
the delivery area advertising effect index determining module is used for calculating an average value of the advertising effect indexes of the self-service teller machines in each delivery area in the preset time period to obtain the advertising effect index of each delivery area;
wherein, the service effect index determining unit comprises:
the self-service teller machine service data acquisition module is used for acquiring service data of each self-service teller machine in the preset time period;
the self-service teller machine service effect index determining module is used for calculating the service effect index of each self-service teller machine in the set time period according to the service data of each self-service teller machine in the set time period;
and the releasing area business effect index determining module is used for obtaining an average value of the business effect indexes of the self-service teller machines in each releasing area in the preset time period to obtain the business effect index of each releasing area.
The embodiment of the invention also provides computer equipment for solving the technical problem that no quantification basis exists when the putting location of the self-service teller machine is determined in the prior art, the computer equipment comprises a memory, a processor and a computer program which is stored on the memory and can be operated on the processor, and the method for determining the putting location of the self-service teller machine is realized when the processor executes the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, which is used to solve the technical problem that there is no basis for quantification when determining a drop location of a self-service teller machine in the prior art.
In the embodiment of the invention, the existing hardware equipment of the bank self-service teller machine is used for acquiring the monitoring image of the self-service teller machine, the advertising effect index of the self-service teller machine is determined by analyzing the monitoring image, the business effect index of the self-service teller machine is determined by analyzing the actual business data of the self-service teller machine, the advertising effect index and the business effect index of the self-service teller machine are further synthesized, the comprehensive effect index of the self-service teller machine is obtained, whether the self-service teller machine is reasonably deployed in each delivery area is determined according to the comprehensive effect index of the self-service teller machine in each delivery area, a plurality of self-service teller machines can be arranged in each delivery area due to the fact that one self-service teller machine can be arranged in each delivery area, and the number of the self-service teller machines deployed in each delivery area can be determined according to the comprehensive effect index of the self-service teller machines in each delivery area.
By the embodiment of the invention, the advertising effect and the business effect of the self-service teller machine in the delivery area are comprehensively analyzed to determine whether the delivery area of the self-service teller machine is reasonable and whether the number of machines deployed in each delivery area is reasonable, so that the self-service teller machine to be delivered is reasonably distributed, the delivered self-service teller is properly adjusted, the reasonable distribution of resources is realized, the cost is saved, and the income is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
fig. 1 is a schematic diagram of a delivery management system of a self-service teller machine according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining a place for placing a self-service teller machine according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for determining a drop location of a self-service teller machine according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are used in an open-ended fashion, i.e., to mean including, but not limited to. Reference to the description of the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
According to the background content of the application, the current bank system does not have intelligent analysis aiming at a large number of external self-service teller machines, ignores the potential value brought by the advertising effect in areas with more pedestrian volume, cannot comprehensively consider the input-output ratio of the self-service teller machines in different delivery areas, and lacks the basis for making adjustment according to actual data.
In order to solve the technical problem that no quantification basis exists when the putting place of the self-service teller machine is determined in the prior art, the embodiment of the invention provides a putting management system of the self-service teller machine, which can determine the putting place of the self-service teller machine according to quantification data so as to realize reasonable distribution of resources of the self-service teller machine, save cost and improve income.
Fig. 1 is a schematic diagram of a self-service teller machine deposit management system provided in an embodiment of the present invention, as shown in fig. 1, the system may include: the system comprises a server 101 and self-service teller machines (FIG. 1 shows N delivery areas, namely a delivery area 102-1, a delivery area 102-2 and a delivery area …, wherein the delivery area 102-1 is provided with three self-service teller machines, namely a self-service teller machine A1, a self-service teller machine A2 and a self-service teller machine A3, the delivery area 102-2 is provided with one self-service teller machine, namely a self-service teller machine B, and the delivery area 102-N is provided with two self-service teller machines, namely a self-service teller machine C1 and a self-service teller machine C2).
Because each self-service teller machine is provided with a camera, the embodiment of the invention uses the camera on each self-service teller machine to shoot the visual field area of each self-service teller machine according to a fixed time interval, so as to obtain a plurality of monitoring images of each self-service teller machine arranged in time sequence within a preset time period (for example, one day, one week, one month, one quarter, one year, and the like).
Each self-service teller machine is communicated with the server 101, and the collected monitoring image is uploaded to the server 101 in real time or at regular time, so that the server 101 can analyze the passenger flow volume data of each self-service teller machine in a preset time period according to the monitoring image of each self-service teller machine, and the advertising effect index of each self-service teller machine is obtained; since a bank usually deploys a plurality of self-service teller machines in some areas with large passenger flow (e.g., train stations, shopping malls, etc.), the advertising effect index of each delivery area can be obtained by averaging the advertising effect indexes of the self-service teller machines in each delivery area in the embodiment of the present invention.
In addition, since the server 101 can obtain the service data of each self-service teller machine, the service effect index of each self-service teller machine can be determined according to the service data of each self-service teller machine; similarly, for a delivery area where a plurality of self-service teller machines are deployed, the business effect indexes of the self-service teller machines in each delivery area can be averaged to obtain the business effect index of each delivery area.
After determining the advertisement effect index and the business effect index of each delivery area, the server 101 may calculate a comprehensive effect index of each delivery area based on a first weight value configured for the advertisement effect index in advance and a second weight value configured for the business effect index, and further determine a delivery location to be delivered to the self-service teller machine according to the comprehensive effect index of each delivery area. It should be noted that, according to the comprehensive effect index of each putting area, the putting area of the self-service teller machine to be put in may be determined, which area the self-service teller machine to be put in is to be put in, and preferably, after the putting area of the self-service teller machine to be put in is determined, a specific putting place of the self-service teller machine to be put in the putting area may also be determined according to the comprehensive effect index of each self-service teller machine in the putting area.
In an alternative embodiment, the server 101 may further determine, according to the composite effect index of each drop zone, the number of self-service teller machines that should be deployed in each drop zone, and further adjust the number of self-service teller machines in each drop zone.
The embodiment of the invention also provides a method for determining a delivery place of the self-service teller machine, which can be applied to but not limited to the delivery management system of the self-service teller machine shown in fig. 1.
Fig. 2 is a flowchart of a method for determining a drop location of a self-service teller machine according to an embodiment of the present invention, as shown in fig. 2, the method may include the following steps:
s201, acquiring a monitoring image of each self-service teller machine deployed in each delivery area, and determining an advertising effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, wherein one or more self-service teller machines are deployed in each delivery area, and the position distance between the self-service teller machines does not exceed a preset threshold value.
It should be noted that the drop-in areas in the embodiments of the present invention refer to areas where self-service teller machines are deployed, and each drop-in area may be deployed with one self-service teller machine or multiple self-service teller machines. The automatic teller machine can be divided into different throwing areas according to the positions among the automatic teller machines, wherein the position distance of the automatic teller machines divided into the same throwing area does not exceed a preset threshold value.
In an optional implementation manner, the step S201 may be specifically implemented by the following steps: shooting a visual field area of each self-service teller machine according to a fixed time interval to obtain a plurality of monitoring images arranged by each self-service teller machine according to a time sequence in a preset time period; traversing a plurality of monitoring images, and calculating Euclidean distances between two adjacent images to obtain a plurality of Euclidean distances; traversing a plurality of Euclidean distances, calculating the variance of two adjacent Euclidean distances, and recording the advertisement active times once under the condition that the variance of two adjacent Euclidean distances is larger than the sum of the average variance of the Euclidean distances and two standard deviations until the advertisement active times of each self-service teller in a preset time period are recorded; determining an advertisement effect index of each self-service teller machine in a preset time period according to the advertisement activity times of each self-service teller machine in the preset time period; and calculating the average value of the advertising effect indexes of the self-service teller machines in each putting area in a preset time period to obtain the advertising effect index of each putting area.
Specifically, when the advertising effect index of a single self-service teller machine is determined, the embodiment of the invention automatically samples and analyzes the change condition of the color vector of the fixed pixel point at a certain time interval (for example, 15 seconds) by using a camera which runs 24 hours per day on each self-service teller machine, obtains the proportion of the sampling change time period to the whole day, and obtains the visual field activity (a decimal of 0-1); and then carrying out average operation on the visual field activity of all self-service teller machines in the delivery area to obtain an advertisement activity index of the delivery area, wherein the index is used as an output result of an advertisement effect after the index is collected in a quarterly or annual average manner and is recorded as alpha { n }, and n represents the number of the delivery areas.
Because the color value R multiplied by G multiplied by B of each pixel point on the image can be converted into a three-dimensional vector (R, G, B), the embodiment of the invention shoots the visual field area of each self-service teller machine according to a fixed time interval to obtain a plurality of monitoring images which are arranged by each self-service teller machine according to the time sequence in a preset time period, and then each monitoring image is stored as the three-dimensional vector of the fixed pixel point on the image. In calculating the euclidean distance between two adjacent images, the distance between three-dimensional vectors of pixel points at the same position on the adjacent images can be calculated, and assuming that a pixel point at a certain position in the previous image in the adjacent images is represented as a three-dimensional vector a (x1, y1, z1) and a pixel point at the same position in the next image is represented as a three-dimensional vector b (x2, y2, z2), the euclidean distance between two three-dimensional vectors can be expressed as follows:
if the monitoring images are acquired at intervals of 15 seconds every day, the number of the monitoring images acquired every day is 5760, and the number of columns of three-dimensional vector numerical values of corresponding pixel points is 5760; and calculating the variance of two adjacent numerical values, recording the primary activity number if the variance is more than two standard deviations of the average variance of the full-number array, and taking the ratio of the total activity times of the day to the total number of the collected monitoring images as the advertising effect index of the day.
It should be noted that, when selecting the fixed-position pixel, one pixel may be selected from the pixels spaced by a preset number (for example, 50 pixels) on each image, and the euclidean distance between two adjacent images may be an average value of a plurality of euclidean distances calculated according to the selected pixels.
S202, acquiring service data of each self-service teller machine in each delivery area, and determining a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area.
In an optional implementation manner, the step S202 may be specifically implemented by the following steps: acquiring service data of each self-service teller machine in a preset time period; calculating a service effect index of each self-service teller machine in a set time period according to the service data of each self-service teller machine in the set time period; and calculating the average value of the business effect indexes of the self-service teller machines in each releasing area in a preset time period to obtain the business effect index of each releasing area.
Specifically, when the business effect index of a single self-service teller machine is determined, the embodiment of the invention obtains the successful login times or business execution times of a user of the single self-service teller machine every day, then performs average operation on the login times or business execution times of all self-service teller machines in a release area to obtain the business effect index of the release area, the index is used as an output result of business effect after being collected for quarterly or annual average, and is recorded as beta { n }, and n represents the number of the release areas.
It should be noted that the service data of the self-service teller machine acquired in the embodiment of the present invention includes, but is not limited to, data of any one of the following services: login, balance inquiry, withdrawal, deposit, transfer, password modification and the like.
Preferably, when the service effect index of the self-service teller machine is determined according to the service data of the self-service teller machine, different weight values can be set for different types of services, and the service effect index of the self-service teller machine is determined by performing weighted average on the service data of different types of services of the self-service teller machine.
S203, based on the preset weight parameters, calculating the comprehensive effect index of each putting area according to the advertising effect index and the service effect index of each putting area, wherein the weight parameters comprise: a first weight value of the advertisement effect index and a second weight value of the service effect index. Optionally, the weight parameter may be configured by a bank operator, and the first weight of the advertisement effect index is denoted as w 1; recording a second weight of the service effect index as w 2; wherein w1+ w2 is 1.
It should be noted that the combined effectiveness index of each delivery area is equal to the product of the advertisement effectiveness index and the first weight value, plus the product of the service effectiveness index and the second weight value. Recording the comprehensive effect index of each putting area as Sn(ii) a Then there is Sn＝w1α{n}+w2β{n}。
And S204, determining a throwing place to be thrown into the self-service teller machine according to the comprehensive effect indexes of all throwing areas.
Due to SnThere may be many decimal places, and therefore, in order to more intuitively display the composite effect index and make the output result readable, as an alternative implementation, the embodiment of the present invention may be implemented by performing the following steps: obtaining the maximum value S of the comprehensive effect index of each putting areamaxAnd minimum value Smin(ii) a The maximum value S of the comprehensive effect indexes of all the throwing areasmaxAnd a first constant value Y1Respectively substituting the nonlinear equation Y into the equation2X-1+ b independent variable X and dependent variable Y, and putting each throwing areaMinimum value S of domain synthesis effect indexminAnd a second constant value Y2Respectively substituting the nonlinear equation Y into the equation2X-1Obtaining an equation set related to the coefficients a and b from the independent variable X and the dependent variable Y of the + b, and solving the equation set to obtain the values of the coefficients a and b; substituting the values of the coefficients a and b into a nonlinear equation Y ═ alog2X-1+ b, calculating the comprehensive effect index S of each throwing areanCorresponding function value Yn(ii) a According to the comprehensive effect index S of each putting areanCorresponding function value YnAnd sequencing each putting area, and determining putting places to be put in the self-service teller machine according to sequencing results.
Through the implementation mode, the maximum value S of the comprehensive effect index of each throwing area can be obtainedmaxIs equalized to a first constant value Y1(e.g., Y)1100), the minimum value pair of the comprehensive effect indexes of all the throwing areas is equal to a second constant value Y2(e.g., Y)2＝10)。
In the embodiment of the invention, the existing hardware equipment of the self-service teller machine of the bank is used for collecting the monitoring image of the self-service teller machine, after the monitoring image of the self-service teller machine is obtained, analyzing the monitoring image to determine the advertising effect index of the self-service teller machine, analyzing the actual service data of the self-service teller machine to determine the service effect index of the self-service teller machine, then the advertising effect index and the business effect index of the self-service teller machine are integrated, the integrated effect index of the self-service teller machine is obtained through calculation, and finally whether the self-service teller machine is reasonably deployed in each delivery area is determined according to the integrated effect index of the self-service teller machine in each delivery area, because each delivery area may be provided with one self-service teller machine or a plurality of self-service teller machines, the number of the self-service teller machines deployed in each delivery area can be determined according to the comprehensive effect index of the self-service teller machines in each delivery area.
By the method for determining the delivery places of the self-service teller machines, provided by the embodiment of the invention, the advertising effect and the business effect of the self-service teller machines in the delivery areas are comprehensively analyzed to determine whether the delivery areas of the self-service teller machines are reasonable and whether the number of machines deployed in each delivery area is reasonable, so that the self-service teller machines to be delivered are reasonably distributed, the delivered self-service teller machines are properly adjusted, the reasonable distribution of resources is realized, the cost is saved, and the benefit is improved.
The embodiment of the invention also provides a device for determining the putting place of the self-service teller machine, which is described in the following embodiment. Because the principle of the embodiment of the device for solving the problems is similar to the method for determining the delivery location of the self-service teller machine, reference may be made to the implementation of the embodiment of the method for implementing the embodiment of the device, and repeated details are not described again.
Fig. 3 is a schematic diagram of an apparatus for determining a drop location of a self-service teller machine according to an embodiment of the present invention, as shown in fig. 3, the apparatus may include: an advertising effectiveness index determination unit 31, a service effectiveness index determination unit 32, a composite effectiveness index determination unit 33, and a place of impression determination unit 34.
The advertisement effect index determining unit 31 is configured to acquire a monitoring image of each self-service teller machine deployed in each delivery area, and determine an advertisement effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, where one or more self-service teller machines are deployed in each delivery area, and a position distance between each self-service teller machine does not exceed a preset threshold value; the service effect index determining unit 32 is configured to obtain service data of each self-service teller machine in each delivery area, and determine a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area; the comprehensive effect index determining unit 33 is configured to calculate, based on a preconfigured weight parameter, a comprehensive effect index of each serving area according to the advertisement effect index and the service effect index of each serving area, where the weight parameter includes: a first weight value of the advertisement effect index and a second weight value of the service effect index; and the release location determining unit 34 is used for determining release locations to be released into the self-service teller machine according to the comprehensive effect indexes of the release areas.
As can be seen from the above, in the apparatus for determining a drop-in location of a self-service teller machine provided in the embodiment of the present invention, the existing hardware device of the self-service teller machine of a bank is used to collect a monitoring image of the self-service teller machine, the collected monitoring image of the self-service teller machine is obtained through the advertisement effect index determining unit 31, and the monitoring image is analyzed to determine the advertisement effect index of the self-service teller machine; analyzing the actual service data of the self-service teller machine through a service effect index determining unit 32 to determine a service effect index of the self-service teller machine; the comprehensive effect index of the self-service teller machine is calculated and obtained through the comprehensive effect index determining unit 33 based on the preconfigured weight parameters according to the advertisement effect index and the business effect index of the self-service teller machine, so that whether the self-service teller machine is deployed in each delivery area is determined to be reasonable according to the comprehensive effect index of the self-service teller machine in each delivery area, and as one self-service teller machine or a plurality of self-service teller machines can be deployed in each delivery area, the number of the self-service teller machines deployed in each delivery area can be determined according to the comprehensive effect index of the self-service teller machine in each delivery area.
By the device for determining the delivery places of the self-service teller machines, provided by the embodiment of the invention, the advertising effect and the business effect of the self-service teller machines in the delivery areas are comprehensively analyzed to determine whether the delivery areas of the self-service teller machines are reasonable and whether the number of machines deployed in each delivery area is reasonable, so that the self-service teller machines to be delivered are reasonably distributed, the delivered self-service teller machines are properly adjusted, the reasonable distribution of resources is realized, the cost is saved, and the benefit is improved.
In an optional embodiment, in the apparatus for determining a place to be placed by a self-service teller machine according to an embodiment of the present invention, the advertising effectiveness index determining unit 31 may specifically include: the monitoring image acquisition module 311 is configured to capture a visual field area of each self-service teller machine at fixed time intervals to obtain multiple monitoring images arranged by each self-service teller machine in time sequence within a preset time period; the monitoring image processing module 312 is configured to traverse a plurality of monitoring images, and calculate an euclidean distance between two adjacent images to obtain a plurality of euclidean distances; the advertisement active time counting module 313 is used for traversing a plurality of Euclidean distances, calculating the variance of two adjacent Euclidean distances, and recording the advertisement active time for one time under the condition that the variance of two adjacent Euclidean distances is larger than the sum of the average variance of the Euclidean distances and two standard deviations until the advertisement active time of each self-service teller in a preset time period is recorded; the self-service teller machine advertisement effect index determining module 314 is used for determining the advertisement effect index of each self-service teller machine in a preset time period according to the advertisement activity times of each self-service teller machine in the preset time period; and the advertisement effect index determining module 315 is configured to obtain an average value of the advertisement effect indexes of the self-service teller machines in each delivery area within a preset time period, so as to obtain the advertisement effect index of each delivery area.
In an optional embodiment, in the apparatus for determining a drop location of a self-service teller machine according to an embodiment of the present invention, the business effect index determining unit 32 may specifically include: a self-service teller machine service data obtaining module 321, configured to obtain service data of each self-service teller machine within a preset time period; the self-service teller machine service effect index determining module 322 is configured to calculate a service effect index of each self-service teller machine within a set time period according to service data of each self-service teller machine within the set time period; and the releasing area business effect index determining module 323 is used for obtaining an average value of the business effect indexes of the self-service teller machines in each releasing area in a preset time period to obtain the business effect index of each releasing area.
In an alternative embodiment, in the apparatus for determining a drop location of a self-service teller machine according to an embodiment of the present invention, the drop location determining unit 34 includes: a data screening module 341, configured to obtain a maximum value S of the composite effect indexes of each delivery areamaxAnd minimum value Smin(ii) a A numerical planning processing module 342, configured to set a maximum value S of the composite effect index of each delivery areamaxAnd a first constant value Y1Respectively substituting the nonlinear equation Y into the equation2X-1+ b, and the minimum value S of the comprehensive effect index of each throwing area in the independent variable X and the dependent variable YminAnd a second constant value Y2Respectively substituting the nonlinear equation Y into the equation2X-1+ b in the independent variable X and the dependent variable YSolving a system of equations related to the coefficients a and b to obtain values of the coefficients a and b; an exponential serialization processing module 343 for substituting the values of the coefficients a and b into the nonlinear equation Y ═ alog2X-1+ b, calculating the comprehensive effect index S of each throwing areanCorresponding function value Yn(ii) a A throwing location determining module 344 for determining the composite effect index S according to each throwing areanCorresponding function value YnAnd sequencing each putting area, and determining putting places to be put in the self-service teller machine according to sequencing results.
The embodiment of the invention also provides computer equipment for solving the technical problem that no quantification basis exists when the putting location of the self-service teller machine is determined in the prior art, the computer equipment comprises a memory, a processor and a computer program which is stored on the memory and can be operated on the processor, and the method for determining the putting location of the self-service teller machine is realized when the processor executes the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, which is used to solve the technical problem that there is no basis for quantification when determining a drop location of a self-service teller machine in the prior art.
In summary, the method for determining the delivery location of the self-service teller machine provided by the embodiment of the invention can analyze the user flow of the delivery area of the self-service teller machine by using the existing bank self-service teller machine hardware equipment to obtain the advertisement effect index of the delivery area, obtain the actual business effect index of the delivery area by combining the actual business data of the self-service teller machine of the delivery area, calculate the comprehensive effect index of each delivery area by comprehensively considering the advertisement effect and the actual business effect, determine the resource allocation of the original self-service teller machine and the newly added self-service teller machine according to the comprehensive effect index of each delivery area, save the investment cost of bank enterprises, and improve the income. In addition, the numerical value planning is utilized to process the output comprehensive effect index, so that the readability of the output result can be improved, and the result display is clearer.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A method of determining a drop location for a self-service teller machine, comprising:
acquiring a monitoring image of each self-service teller machine deployed in each delivery area, and determining an advertising effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, wherein one or more self-service teller machines are deployed in each delivery area, and the position distance between the self-service teller machines does not exceed a preset threshold value;
acquiring service data of each self-service teller machine in each delivery area, and determining a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area;
based on a preset weight parameter, calculating a comprehensive effect index of each putting area according to the advertising effect index and the service effect index of each putting area, wherein the weight parameter comprises: a first weight value of the advertisement effect index and a second weight value of the service effect index;
determining a throwing place of the self-service teller machine to be thrown according to the comprehensive effect index of each throwing area;
the method comprises the following steps of acquiring a monitoring image deployed in each self-service teller machine of each delivery area, and determining the advertising effect index of each delivery area according to the monitoring image of each self-service teller machine of each delivery area, wherein the advertising effect index comprises the following steps:
shooting a visual field area of each self-service teller machine according to a fixed time interval to obtain a plurality of monitoring images arranged by each self-service teller machine according to a time sequence in a preset time period;
traversing the multiple monitoring images, and calculating Euclidean distances between two adjacent images to obtain multiple Euclidean distances;
traversing the Euclidean distances, calculating the variance of two adjacent Euclidean distances, and recording the advertisement active times once under the condition that the variance of two adjacent Euclidean distances is larger than the sum of the average variance of the Euclidean distances and two standard deviations until the advertisement active times of each self-service teller in the preset time period are recorded;
determining an advertisement effect index of each self-service teller machine in the preset time period according to the advertisement activity times of each self-service teller machine in the preset time period;
calculating an average value of the advertising effect indexes of the self-service teller machines in each delivery area in the preset time period to obtain the advertising effect index of each delivery area;
the method includes the steps of obtaining service data of each self-service teller machine in each delivery area, and determining a service effect index of each delivery area according to the service data of each self-service teller machine in each delivery area, wherein the method includes the following steps:
acquiring service data of each self-service teller machine in the preset time period;
calculating a service effect index of each self-service teller machine in the set time period according to the service data of each self-service teller machine in the set time period;
and calculating the average value of the business effect indexes of the self-service teller machines in each releasing area in the preset time period to obtain the business effect index of each releasing area.
2. The method of claim 1, wherein determining a drop location to drop the self-service teller machine based on the composite effectiveness index for each drop zone comprises:
obtaining the maximum value S of the comprehensive effect index of each putting areamaxAnd minimum value Smin；
The maximum value S of the comprehensive effect indexes of all the throwing areasmaxAnd a first constant value Y1Respectively substituting into non-linesEquation of property Y-alog2X-1+ b, and the minimum value S of the comprehensive effect index of each throwing area in the independent variable X and the dependent variable YminAnd a second constant value Y2Respectively substituting the nonlinear equation Y into the equation2X-1Obtaining an equation set related to the coefficients a and b from the independent variable X and the dependent variable Y of the + b, and solving the equation set to obtain the values of the coefficients a and b;
substituting the values of the coefficients a and b into a nonlinear equation Y ═ alog2X-1+ b, calculating the comprehensive effect index S of each throwing areanCorresponding function value Yn；
According to the comprehensive effect index S of each putting areanCorresponding function value YnAnd sequencing each putting area, and determining putting places to be put in the self-service teller machine according to sequencing results.
3. An apparatus for determining a drop location for a self-service teller machine, comprising:
the advertising effect index determining unit is used for acquiring a monitoring image of each self-service teller machine deployed in each delivery area and determining an advertising effect index of each delivery area according to the monitoring image of each self-service teller machine in each delivery area, wherein one or more self-service teller machines are deployed in each delivery area, and the position distance between the self-service teller machines does not exceed a preset threshold value;
the business effect index determining unit is used for acquiring the business data of each self-service teller machine in each delivery area and determining the business effect index of each delivery area according to the business data of each self-service teller machine in each delivery area;
the comprehensive effect index determining unit is used for calculating the comprehensive effect index of each putting area according to the advertising effect index and the service effect index of each putting area based on a preset weight parameter, wherein the weight parameter comprises: a first weight value of the advertisement effect index and a second weight value of the service effect index;
the releasing place determining unit is used for determining releasing places of the self-service teller machines to be released according to the comprehensive effect indexes of all releasing areas;
wherein the advertising effect index determining unit includes:
the self-service teller machine monitoring image acquisition module is used for shooting a visual field area of each self-service teller machine according to a fixed time interval to obtain a plurality of monitoring images arranged by each self-service teller machine according to a time sequence in a preset time period;
the monitoring image processing module is used for traversing the monitoring images, calculating the Euclidean distances between two adjacent images and obtaining a plurality of Euclidean distances;
the advertisement active time counting module is used for traversing the Euclidean distances, calculating the variance of two adjacent Euclidean distances, and recording the advertisement active time for one time under the condition that the variance of two adjacent Euclidean distances is larger than the sum of the average variance of the Euclidean distances and two standard deviations until the advertisement active time of each self-service teller in the preset time period is recorded;
the self-service teller machine advertisement effect index determining module is used for determining the advertisement effect index of each self-service teller machine in the preset time period according to the advertisement activity times of each self-service teller machine in the preset time period;
the delivery area advertising effect index determining module is used for calculating an average value of the advertising effect indexes of the self-service teller machines in each delivery area in the preset time period to obtain the advertising effect index of each delivery area;
wherein, the service effect index determining unit comprises:
the self-service teller machine service data acquisition module is used for acquiring service data of each self-service teller machine in the preset time period;
the self-service teller machine service effect index determining module is used for calculating the service effect index of each self-service teller machine in the set time period according to the service data of each self-service teller machine in the set time period;
and the releasing area business effect index determining module is used for obtaining an average value of the business effect indexes of the self-service teller machines in each releasing area in the preset time period to obtain the business effect index of each releasing area.
4. The apparatus of claim 3, wherein the launch location determining unit comprises:
a data screening module for obtaining the maximum value S of the comprehensive effect index of each throwing areamaxAnd minimum value Smin；
A numerical planning processing module for processing the maximum value S of the comprehensive effect index of each throwing areamaxAnd a first constant value Y1Respectively substituting the nonlinear equation Y into the equation2X-1+ b, and the minimum value S of the comprehensive effect index of each throwing area in the independent variable X and the dependent variable YminAnd a second constant value Y2Respectively substituting the nonlinear equation Y into the equation2X-1Obtaining an equation set related to the coefficients a and b from the independent variable X and the dependent variable Y of the + b, and solving the equation set to obtain the values of the coefficients a and b;
an exponential serialization processing module for substituting the values of the coefficients a and b into a nonlinear equation Y ═ alog2X-1+ b, calculating the comprehensive effect index S of each throwing areanCorresponding function value Yn；
A putting location determining module for determining the comprehensive effect index S according to each putting areanCorresponding function value YnAnd sequencing each putting area, and determining putting places to be put in the self-service teller machine according to sequencing results.
5. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method of determining a place for placing at a self-service teller machine according to any one of claims 1 to 2.
6. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method for determining a drop location of a self-service teller machine according to any one of claims 1 to 2.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2731086A1 (en) * | 2012-11-12 | 2014-05-14 | friendlyway AG | Cash management for automated teller machines |
| CN105894234A (en) * | 2016-04-05 | 2016-08-24 | 北京京东尚科信息技术有限公司 | Data processing method and data processing system for calculating throwing position of self-service parcel cabinet |
| CN106484748A (en) * | 2015-09-02 | 2017-03-08 | 阿里巴巴集团控股有限公司 | A kind of method and device for determining that point of interest POI lays demand |
| TWM553838U (en) * | 2017-09-15 | 2018-01-01 | 臺灣土地銀行股份有限公司 | Analyzing system for automated teller machine disposition |
| CN107730022A (en) * | 2016-08-12 | 2018-02-23 | 中国移动通信集团河北有限公司 | A kind of network point distribution appraisal procedure and device |
| CN108985845A (en) * | 2018-07-18 | 2018-12-11 | 北京旷视科技有限公司 | Broadcast monitoring method, apparatus and system |
| CN109325695A (en) * | 2018-09-29 | 2019-02-12 | 深圳市华耀智慧科技有限公司 | Unmanned retailing vehicle launches control method, device, electronic equipment and storage medium |
-
2019
- 2019-07-18 CN CN201910648707.6A patent/CN110363434B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2731086A1 (en) * | 2012-11-12 | 2014-05-14 | friendlyway AG | Cash management for automated teller machines |
| CN106484748A (en) * | 2015-09-02 | 2017-03-08 | 阿里巴巴集团控股有限公司 | A kind of method and device for determining that point of interest POI lays demand |
| CN105894234A (en) * | 2016-04-05 | 2016-08-24 | 北京京东尚科信息技术有限公司 | Data processing method and data processing system for calculating throwing position of self-service parcel cabinet |
| CN107730022A (en) * | 2016-08-12 | 2018-02-23 | 中国移动通信集团河北有限公司 | A kind of network point distribution appraisal procedure and device |
| TWM553838U (en) * | 2017-09-15 | 2018-01-01 | 臺灣土地銀行股份有限公司 | Analyzing system for automated teller machine disposition |
| CN108985845A (en) * | 2018-07-18 | 2018-12-11 | 北京旷视科技有限公司 | Broadcast monitoring method, apparatus and system |
| CN109325695A (en) * | 2018-09-29 | 2019-02-12 | 深圳市华耀智慧科技有限公司 | Unmanned retailing vehicle launches control method, device, electronic equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| ATM management prediction using Artificial Intelligence techniques: A survey;Seyed Mohammad Hossein Hasheminejad 等;《Intelligent Decision Technologies》;20170930;第375-398页 * |
| 给定区域内ATM机的最优数量和选址问题;康坛 等;《中国运筹学会第八届学术交流会论文集》;20060702;第401-405页 * |
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