KR102477609B1 - Place marketing optimizing system - Google Patents

Abstract

The present invention relates to a place marketing optimizing system, which includes: a web data server which searches and collects information on places registered on the portal site; and a management server which analyzes the data received from the web data server to generate and manage place score information.

Description

Place marketing optimizing system {Place marketing optimizing system}

The present invention relates to a place marketing optimization system.

Conventionally, the online member management method gives each member an ID, receives a subscription, stores it separately in the DB, and generates coupons, mileage, points, etc. to the ID created for each individual, and uses it instead of cash or uses it within the service. It was common to use

In this membership management system, all actions are performed based on the ID, and point accumulation and gift events are conducted based on the ID, so there is no exchange between the IDs of the members and only 1:1 communication with the server providing the system. .

In addition, as the marketing method diversifies, the corresponding demand is also increasing. In line with the demand, efforts to identify and analyze customer tastes and utilize them for marketing are also increasing.

The present invention has been made to solve the above problems, and an object of the present invention is to easily collect place information of a portal site through a web data server, organize and analyze the collected data through a management server, and score each place. is calculated, and based on these scores, an optimization system used for marketing is provided.

The technical problem of the present invention is not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

A place marketing optimization system according to an embodiment of the present invention includes a web data server that searches and collects place information registered on a portal site; and a management server analyzing data received from the web data server to generate and manage place score information.

In one embodiment, the web data server includes a data collection unit that searches and collects place information registered in a portal site; and a transmission unit for transmitting the data collected from the data collection unit to the management server.

In one embodiment, the management server may include: a transceiver for receiving data from the web data server and transmitting the organized data to a management terminal; a data extraction unit extracting data necessary for calculating a place score from data received from the web data server; a score calculation unit that organizes and analyzes the data extracted from the data extraction unit and calculates a score for each place; And marketing advertising phrases suitable for the marketing target by learning (deep learning) information on awareness, age group, or revisit rate of the marketing target and usable phrases or images through big data analysis using the place data stored by the data extraction unit. Alternatively, a keyword generation unit that automatically generates a search term; may be included.

A place marketing optimization system according to an embodiment of the present invention includes a tablet-type management terminal capable of communicating with the management server and receiving data to check place data and a list in a remote location; and a printer that communicates with the management terminal and outputs the place data and list organized by the score calculation unit.

In one embodiment, the printer may include a card terminal provided so that a person who wants to help marketing by outputting place data can make a card payment; and a noise reduction unit installed below the printer to reduce noise generated by operation of the printer.

In one embodiment, the noise reduction unit, an upper case which supports the printer, has an upper magnetic body coupled to one side, and has fitting grooves on both sides; a lower case supported on a bottom surface, coupled to a lower magnetic body on one side, and provided with fitting protrusions on both sides; It may include; a diaphragm positioned in an inner space formed by the upper case and the lower case.

In one embodiment, the diaphragm, the fitting hole formed on one side; and a central magnetic body formed at a position facing each other to generate mutual repulsive force with the upper magnetic body and the lower magnetic body.

The above-described problem solving means are merely exemplary and should not be construed as intended to limit the present disclosure. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description of the invention.

According to one aspect of the present invention described above, it is possible to easily collect place information of a portal site through a web data server, organize and analyze the collected data through a management server, calculate scores for each place, and use these scores for marketing based on to provide an optimization system.

Effects of the present invention are not limited to the effects mentioned above, and various effects may be included within a range apparent to those skilled in the art from the contents to be described below.

1 is a diagram showing a place marketing optimization system according to an embodiment of the present invention.
2 is a diagram showing a web data server of a place marketing optimization system according to an embodiment of the present invention.
3 is a diagram showing a management server of a place marketing optimization system according to an embodiment of the present invention.
4 is a diagram showing scores for each place calculated by a score calculation unit of a place marketing optimization system according to an embodiment of the present invention.
5 is a diagram showing a printer of a place marketing optimization system according to an embodiment of the present invention.
6 is a diagram showing a noise reduction unit of a printer according to an embodiment of the present invention.
7 is a view showing a state in which a card cleaner is applied to a printer according to an embodiment of the present invention.
8 to 10 are views showing a card cleaner according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The detailed description of the present invention which follows refers to the accompanying drawings which illustrate, by way of illustration, specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable one skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different from each other but are not necessarily mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in another embodiment without departing from the spirit and scope of the invention in connection with one embodiment.

Additionally, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the detailed description set forth below is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all equivalents as claimed by those claims. Like reference numbers in the drawings indicate the same or similar function throughout the various aspects.

On the other hand, throughout the present specification, when a certain component is said to "include", it means that it may further include other components, not excluding other components unless otherwise stated. In addition, a “unit” for a component used in this specification performs at least one function or operation. And "unit" may perform a function or operation by hardware, software, or a combination of hardware and software.

Terms including ordinal numbers, such as first and second, may be used to describe various components, but these components are not limited by the above terms. The terminology described above is only used for the purpose of distinguishing one component from another.

In this specification, the term "comprising" is intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, but one or more other features, numbers, or steps However, it should be understood that it does not preclude the possibility of existence or addition of operations, components, parts, or combinations thereof. It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle.

In addition, in describing the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be abbreviated or omitted.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a diagram showing a place marketing optimization system according to an embodiment of the present invention.

2 is a diagram showing a web data server of a place marketing optimization system according to an embodiment of the present invention.

3 is a diagram showing a management server of a place marketing optimization system according to an embodiment of the present invention.

4 is a diagram showing scores for each place calculated by a score calculation unit of a place marketing optimization system according to an embodiment of the present invention.

5 is a diagram showing a printer of a place marketing optimization system according to an embodiment of the present invention.

6 is a diagram showing a noise reduction unit of a printer according to an embodiment of the present invention.

7 is a view showing a state in which a card cleaner is applied to a printer according to an embodiment of the present invention.

8 to 10 are views showing a card cleaner according to an embodiment of the present invention.

The place marketing optimization system 10 according to an embodiment of the present invention may include a web data server 100 and a management server 200 .

In one embodiment, the web data server 100 may search and collect information about places registered in a portal site. Here, the portal site may be Naver.

In more detail, the web data server 100 may include a data collection unit 110 and a transmission unit 120.

The data collection unit 110 may search and collect place information registered on the portal site. Specifically, when a specific product is searched for on Naver Shopping, data such as reviews, number of reviews, registration date, rating, number of favorites, and price displayed on the corresponding product page or place list can be automatically collected.

The transmission unit 120 may transmit the data collected from the data collection unit 110 to the management server 200 .

In one embodiment, the management server 200 may generate and manage place point information by analyzing data received from the web data server 100 .

In more detail, the management server 200 may include a transmission/reception unit 210, a data extraction unit 220, a score calculation unit 230, and a keyword generation unit 240.

The transceiver 210 may receive data from the web data server 100 and transmit the organized data to the management terminal 300 .

The data extraction unit 220 may extract data necessary for calculating a place score from data received from the web data server 100 . Data necessary for calculating the place score may include reviews, number of reviews, price, number of steamed items, registration date, number of views, and the like.

The score calculation unit 230 may organize and analyze the data extracted from the data extraction unit 220 to calculate a score for each place and input the result into a list.

Here, the score for each place can calculate the click score, sales score, popularity, etc. based on data such as the number of reviews, the number of steamed meals, up-to-dateness based on the registration date, and the number of views. For example, as for the click score, the score of the place with the largest number of views among the place list may be set to 80, and the score for each place may be calculated based on the ratio of the number of views to 80 points.

The scores calculated in this way can be combined to calculate a total score for each place, and then entered into a list.

The keyword generation unit 240 uses the place data stored by the data extraction unit 220 to learn information on awareness, age group, or repurchase rate of the marketing target product and usable phrases or images through big data analysis (deep running) to automatically generate marketing advertisement phrases or search terms suitable for the marketing target product.

The web data server and the management server mean a medium that stores data semi-permanently and can be read by a device, not a medium that stores data for a short moment, such as a register, cache, or memory. Specifically, examples of the storage medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc., but are not limited thereto. That is, the management server and the marketing server may be stored in various recording media on various servers accessible by a computer or various recording media on a user's computer. In addition, the medium may be distributed to computer systems connected by a network, and computer readable codes may be stored in a distributed manner.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

The management server 200 having the configuration described above may be implemented on a development environment management system (not shown in the drawing for convenience of description).

In the development environment, a plurality of developers use a plurality of development systems for software development, and each development system may develop and directly manage software components and software under the developer's control. Each development system uses Trusted Platform Module (TPM) standard technology, which ensures that software components are only available on licensed development systems. The Trusted Platform Module (TPM) is a kind of security device and can generate and manage security keys for data encryption.

The development environment management system may limit a developer's authority for use of software components and perform security authentication for a development system used by the developer.

When receiving a software component creation or modification permission request message from the development system, the development environment management system may process the software component creation or modification permission request message by checking authority information of the corresponding development system.

Here, the software component may include at least one of a source code, a binary including debugging information, a pure binary not including debugging information, a document for detailed description of the code, and a process formula model for understanding the code. can

The authority information may include at least one of read authority to read software components, storage authority to create and modify and store software components, and rights adjustment authority to adjust authority information.

When a software component is created or modified by any one development system that satisfies authority information, the development environment management system can store it and control it so that it can be shared by other development systems. This is because there are cases in which a module built by one development system must be used in another development system.

The development environment management system may build a database storing the creation or modification history of these software components. This is because it is possible to track how the value of a specific variable has changed step by step through the history information, and also to understand how the specific variable affects the value change of any other variable.

Specifically, the development environment management system includes the type of software component, creation/modification of the corresponding software component, creation/modification date of the corresponding software component, frequency of creation/modification of the corresponding software component, and creation/modification of the corresponding software component. History information can be created including authority information of the development system.

The development environment management system may assign an index whenever history information is created and store it in a history information database.

In this case, the development environment management system may build a history information database for each type of software component. That is, the development environment management system can build a history information database according to the importance of the software component, and the history information database of the software component corresponding to the highest importance category is a database update target for storage space management, as described later. may be excluded.

Alternatively, the development environment management system may build a history information database for each creation/modification date of the software component. For example, the development environment management system may build a history information database of a specific date and exclude the corresponding history information database from a database update target.

Alternatively, the development environment management system may build a history information database for each authority information. For example, the development environment management system builds a database of history information of software components by the development system corresponding to the authority to adjust authority information considered as the highest authority information, and updates the database with the history information database. can be excluded from

As described above, the development environment management system may update the history information database for efficient storage space management.

Specifically, the development environment management system may update the history information database when the index of the history information database reaches a preset index.

For example, the development environment management system may divide all indexes of the history information database into three sections in ascending order.

The development environment management system can unconditionally delete history information corresponding to the section including the lowest index among the three sections. The history information corresponding to the corresponding section can be regarded as a long time since the date of creation/modification, and the possibility that the corresponding history information will be referred to again is low, so it can be deleted without conditions.

The development environment management system may update the history information corresponding to the middle section among the three sections by determining whether to delete or maintain the history information according to the type of the software component. That is, the development environment management system can classify the importance according to the type of software component, and among the history information corresponding to the middle section among the three sections, only the history information corresponding to the type of software component with the highest importance is maintained and the remaining history The history information database may be updated by deleting all information.

Alternatively, the development environment management system may update the history information corresponding to the middle section among the three sections by determining whether to delete or maintain the history information according to the generation/modification frequency of software components. That is, among the history information corresponding to the middle section among the three sections, the history information database may be updated by deleting all of the history information whose generation/modification frequency is higher than the preset reference frequency and maintaining the remaining history information.

Alternatively, the development environment management system may update the history information corresponding to the middle section among the three sections by determining whether to delete or maintain the history information according to the authority information of the development system. That is, among the history information corresponding to the middle section of the three sections, the history information that is the authority to adjust the authority information that is considered the highest authority information is maintained as it is, and all the remaining history information is deleted. The historical information database can be updated. The development environment management system can maintain history information corresponding to the section including the highest index among the three sections as it is. The history information corresponding to the corresponding section can be regarded as having a relatively recent date of creation/modification, and since the possibility that the corresponding history information will be referred to again is high, it can be maintained as it is.

Some of the configurations of the management server 200 having the configuration described above may be implemented by artificial intelligence, and may further include a decision reason presentation module (not shown in the drawing for convenience of description).

The decision-making reason presentation module not only classifies and predicts the data given or input by the user, but also analyzes the causal relationship for the decision to find appropriate grounds and explains why the results presented by artificial intelligence are such. The reason can be explained at the user level. By enabling reliable decision-making between the user and artificial intelligence through the decision-making reason presentation module, feedback from the user can be appropriately reflected in the event of a problem or error. In addition, by having a decision-making reason presentation module, it is not possible to clearly explain the cause of why such results are generated for the results presented by artificial intelligence, so it is possible to relieve the user's distrust of artificial intelligence. If the learning proceeds appropriately, it is possible to prevent an overfitting problem in which an optimal solution within a region may be selected instead of an overall optimal solution.

In an embodiment, the decision reason presentation module may further include a model building module and a reason explanation interface module. The model building module can be implemented as a deep description learning module, an interpretable model generating module, and a model induction module. The deep description learning module is a modified deep learning technique that allows a deep neural network to learn explainable features. Nodes in the hidden layer can be trained to represent meaningful properties. For example, if you train a model that classifies images of arms and legs, each hidden node has the shape of a fingernail or toenail, the shape of a finger or toe, or the shape of a palm or sole. When the model determines that an image is a hand by learning to indicate a location, etc., the reason for the decision can be known through the activated hidden node. The basis for such a judgment may be expressed linguistically through a natural language generation model such as, for example, a recurrent neural network (RNN). RNN is a model of deep learning and a type of artificial neural network. It is for learning data that changes over time, such as time series data. get In the input control vector, the value is accepted after the input signal passes through the connection layer with the activation function, and the forget vector serves to reflect a part of the past input to the current input. And the output control vector accepts the value using the activation function considering the past value and the modified input value. And the final result is returned to the input again. Such a recurrent neural network is mainly used for classifying document emotions or recognizing handwriting, and can also be mainly used for voice recognition, time series prediction, or waveform generation. This is because even if the input data has a fixed shape without order, it can be processed according to an appropriate order.

In addition, in one embodiment, the in-depth description learning module may display a part based on an image to visually indicate it. For example, when an artificial intelligence system classifies a cat image, the existing system only derives whether the input image is a cat or not, but the deep explanation learning module derives whether it is a cat or not, and the basis (fur, whiskers, etc.) can be provided to

The interpretable model generation module can build structured data into an interpretable causal model. According to one embodiment, an interpretable model generation module can be built using BPL (bayesian program learning), and BPL is a method of learning to be expressed as a combination of small pieces, for example, learning a model that generates letters. When writing, the letters are divided into strokes to create the most reasonable combination of strokes. BPL can be imitated just like a human at a glance without a large amount of data, and as an evolved neural network (neural network model), when a new event is given, the probability value can be changed based on the event. In other words, BPL is not a method of changing only the weights of virtual variables, but also includes creating other virtual variables in the middle. Given a new environment, understanding the phenomenon in a different way. For example, if a coin is tossed 100 times and heads come up 60 times and tails 40 times, the probability of heads coming up is 60%, and then the next time it comes up tails This method lowers the probability of heads to 59.4%.

Also, in one embodiment, the interpretable model generation module may be implemented through a probabilistic approach. Probabilistic approaches can produce learning effects with just a few samples, similar to learning that there are also medium-length chairs when shown a long chair and a short chair, for example. In other words, it is a technology that learns by filling in insufficient data on its own. Depending on embodiments, the probabilistic approach may include a function of correcting probabilities and programs by itself through mathematical calculations.

Also, in one embodiment, the interpretable model generation module may be implemented using And-Or-Graph. And-Or-Graph is an AND/OR graph that represents the condition and conclusion relationship of a rule and the AND/OR relationship in the form of a graph. Since the intermediate and final data derived by artificial intelligence are structured, the decision process of the model is logically presented. It has advantages that are easy to explain. That is, a graph is represented by AND nodes and OR nodes. Both AND nodes must be processed, and only one OR node can be processed. By using the AND/OR graph, a set of scattered rules can be viewed in a single structure, and the logical relationship between each sentence can be easily grasped.

The model induction module can infer arbitrary black box models as explainable models. In one embodiment, the model induction module can be implemented as local interpretable model-agnostic explanations (LIME), which makes arbitrary black box models locally explainable through sparse linear combinations around already explainable data. can be made For example, if a black box model that classifies an image judges an image to be a heart, it compares the pixels representing the heart with the given image to determine which part is the heart. Can you provide a basis for this?

In addition, in an embodiment, the model induction module may be implemented as a Bayesian rule list (BRL) that expresses a model as a series of if-then conditional statements. BRL makes it possible to understand complex models by breaking a high-dimensional, multivariate feature space into simple, already interpretable conditional statements.

The above-described in-depth description learning module, interpretable model generation module, and model induction module may operate independently of each other or in combination with each other, and their implementation order may also vary according to embodiments.

Next, the reason explanation interface module can express the explanation of artificial intelligence's decision-making in a way that users can understand. The reason explanation interface module may include, as essential items, that the presented explanation is repetitive, includes all necessary explanations, does not include unnecessary explanations, and has an appropriate amount. In other words, the user can easily provide the user with language, tables, images, graphs, formulas, etc., including language, tables, images, graphs, formulas, etc. .

Also, the reason explanation interface module may receive a user's correction command. To this end, the reason explanation interface module may include, as essential items, that the explanation should be flexible, that the user's feedback should be respected, that gradual changes should be observed, and the like, for correctability. With respect to the explanation presented in this way, it is possible to evaluate and develop the effect of the reason explanation interface module by receiving feedback from the user on the clarity and usability of the explanation.

In another embodiment, the decision-making reason presentation module may be formed as a causal model. A causal model may be formed by combining deep learning and a Markov random field. First, the probability distribution of the deep Markov random field model is modeled from the learning data, and the structure of the Markov random field representing the conditional independence among random variables is learned. By inferring the structure-learned latent function of a Markov random field with a deep neural network, as the number of input variables increases, the problem of exponentially increasing the number of parameters required for the latent function is mitigated, and complex complexities without constraints on variable association relationships can be learned. According to the embodiment, after learning the class classification problem like attributes and super categories, which are subtasks, it is possible to perform effective expression by linearly combining them in the output step. In addition, it may include an interactive learning algorithm that allows a person to check whether the causal relationship has been correctly learned and correct it by giving feedback.

In another embodiment, the decision reason presentation module may be implemented as an analysis module. As a technique for regression analysis of time series functions into multivariate Gaussian based on various kernels, it is possible to explain given time series data based on the kernel combination found above by learning the optimal kernel combination that expresses the kernel in the Gaussian process. Furthermore, even when there are multiple time series data, it is possible to explain the common features of multiple time series data by learning a combination of kernels that are commonly expressed and kernels that express characteristics of each time series data. By writing the combination of kernels found through the time-series data analysis model in natural language, it is possible to explain to the user the decision-making process and reason derived by artificial intelligence in natural language.

Through such a decision-making reason presentation module, by visualizing and texting the decision-making process of artificial intelligence from the user's point of view, it is possible to explain the components involved in the decision-making process, and at the same time analyze the correlation of complex models to determine the cause It can be divided into elements and result elements. In particular, it is written in the form of an automatic report that users can easily understand, so that artificial intelligence can interact with humans more precisely by providing reasons as well as the results of analyzing data.

The place marketing optimization system 10 according to an embodiment of the present invention may further include a management terminal 300 and a printer 400 .

The management terminal 300 communicates with the management server 200 and receives data to enable place data and list confirmation even at a remote location, and may be implemented in a tablet type. Through this management terminal 300, a manager or a user who wants to use the present invention can easily check place data and a list even from a remote location.

The printer 400 communicates with the management terminal 300 and can output organized place data and a list from the score calculating unit 230 . That is, when a manager or a user who wants to use the present invention requests a print job through the management terminal 300, the printer 400 communicates with the management terminal 300 to output place data and a list roll. The printer 400 may be disposed together with the management terminal 300 in a space providing services where a manager or a user who wants to use the present invention is located.

The printer 400 may include a card terminal 410 and a noise reduction unit 420 .

In one embodiment, the card terminal 410 may be provided so that a person seeking help in marketing by outputting place data can make a card payment. That is, a user desiring to use the present invention, excluding the manager, must pay a certain amount to output place data and a list.

In one embodiment, the noise reduction unit 420 is installed below the printer 400 to reduce noise generated by the operation of the printer 400 . In more detail, the noise reduction unit 420 may include an upper case 421 , a lower case 422 , and a diaphragm 423 .

The upper case 421 supports the printer 400, has an upper magnetic body 4211 coupled to one side, and may be provided with fitting grooves 4212 on both sides.

The lower case 422 is supported on the bottom surface and coupled to the lower magnetic body 4221 on one side, and fitting protrusions 4222 may be provided on both sides.

The diaphragm 423 may be located in an inner space formed by the upper case 421 and the lower case 422 .

The diaphragm 423 may form a central magnetic body 4231 at a position where the upper magnetic body 4211 and the lower magnetic body 4221 face each other so that repulsive force is generated.

The upper case 421 and the lower case 422 may be mutually coupled and fixed in an interference fitting manner by fitting grooves 4212 and fitting protrusions 4222, respectively. At this time, the diaphragm 423 may be inserted into the fitting protrusion 4222 through the fitting hole 4232 formed on one side and seated on the seating ( ) surface where the fitting protrusion 4222 is formed, and in that state, the fitting groove ( As the 4212 and the fitting protrusion 4222 are coupled, the diaphragm 423 will be installed in the inner space formed by the upper case 421 and the lower case 422 .

As the diaphragm 423 moves up and down by the repulsive force between the central magnetic body 4231, the upper magnetic body 4211, and the lower magnetic body 4221, noise or vibration generated by the operation of the printer 400 can be reduced. can

The printer 400 according to an embodiment of the present invention is installed on one side of the printer 400 and moves in the forward and backward directions after the credit card C is inserted, such as foreign substances such as dust on the credit card C. It may further include a card cleaner 500 to remove. Through this, the user's consumption satisfaction can be improved.

The card cleaner 500 may include a housing 510 , a card moving unit 520 , a first roller 530 , a second roller 540 and an automatic moving unit 550 .

The housing 510 is installed on one side of the printer 400, and a card moving unit 520 is formed along one side.

The card moving unit 520 is a housing along one side of the housing 510 from the rear end of the housing 510 so that the credit card C can move to the front end of the housing 510 after being inserted into the rear end of the housing 510 ( 510), the first roller 530 and the second roller 540 are installed while facing each other in the vertical direction.

The first roller 530 is installed on the upper side of the card moving unit 520 while facing the second roller 540 to remove foreign matter attached to the upper surface of the credit card (C) moving along the card moving unit 520. do.

The second roller 540 is installed on the lower side of the card moving unit 520 while facing the first roller 530 to remove foreign substances attached to the lower surface of the credit card C moving along the card moving unit 520. do.

In one embodiment, the first roller 530 may include a front roller 531 , a rear roller 532 , and a cleaning belt 533 .

Here, the second roller 540 has a vertically symmetrical structure with the first roller 530 to be described later, and includes a front roller 531, a rear roller 532, a cleaning belt 533, and the like of the first roller 530. Since the configurations can be equally applied, the description thereof will be omitted to avoid duplication of description.

The front roller 531 is installed on the upper side of the rear end of the card moving unit 520 while supporting the inward surface of the rear end of the cleaning belt 533 and facing the rear roller 532. When a driving request is transmitted, the rear roller 532 and rotate in the same direction.

The rear roller 532 supports the front inward surface of the cleaning belt 533 and is installed on the upper side of the front end of the card moving unit 520 while facing the front roller 531, and when a drive request is transmitted, the front roller 531 and rotate in the same direction.

The cleaning belt 533 has its rear end supported by the rear end roller 532 and its front end supported by the front end roller 531 so that its lower outward surface is on the upper surface of the credit card C inserted into the card moving unit 520. It is installed to be in close contact, and as the front roller 531 and the rear roller 532 rotate and drive, foreign substances such as dust attached to the upper surface of the credit card C rotate in the opposite direction to the moving direction of the credit card C. Remove

The automatic movement unit 550 is installed on one side of the housing 510, and when a credit card (C) is inserted into the rear end of the card movement unit 520, the credit card (C) is engaged and then along the card movement unit 520. The credit card (C) is moved to the front of the housing (510). The card cleaner 500 according to another embodiment having the configuration as described above, the credit card (C) moves along the card moving unit 520 without the need for the user to hold the credit card (C) and move it along the card moving unit. When inserted into the 520, the automatic movement unit 550 grips the credit card (C) and automatically moves it along the card movement unit 520, thereby improving customer convenience.

The automatic moving unit 550 includes a slider 551, a fastening groove 552, a fastening plate 553, and drive gears 554a and 544b.

The slider 551 is connected to one side of the housing 510 and slides in the forward and backward directions along one side of the housing 510, and a fastening groove 552 is formed at the rear end.

In one embodiment, the slider 551 is a sliding guide groove extending along the upper and lower sides of one side of the housing 510 on the upper and lower sides of the contact surface of the slider 551 facing the one side of the housing 510 ( For convenience of explanation, fastening protrusions 551b and 551c for fastening (not shown in the drawing) may be provided and may not be separated from the housing 510 .

The fastening groove 552 is at the rear end of the slider 551 while facing the card moving unit 520 so that the credit card C inserted into the rear end of the card moving unit 520 can be simultaneously inserted into the rear end of the slider 551. is formed

In one embodiment, it is preferable that the fastening groove 552 forms an inclined surface 511a at the upper end of the rear end so that the credit card C can be easily inserted.

The fastening plate 553 is supported and installed on the lower side of the fastening groove 552 by a plurality of elastic means 553a, and is in close contact with the lower side of the credit card C inserted into the fastening groove 552, so that the credit card ( C) to conclude.

The drive gears 554a and 544b are installed on the upper and lower sides of the slider 551, respectively, and are partially exposed to the contact surface of the slider 551 facing one side of the housing 510, The upper rail (R1) and the lower rail (R2), which are formed to extend in the front and rear directions along the upper and lower sides of one side, respectively, are engaged and connected to each other, and are simultaneously rotated in the forward or reverse direction to move the slider 551.

According to the configuration described above, when the credit card (C) is inserted into the card moving unit 520, the automatic moving unit 550 grips the credit card (C) and automatically moves it along the card moving unit 520, thereby providing customer convenience. It is possible to improve customer satisfaction by further improving and removing foreign substances such as dust attached to the credit card (C).

Although the preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and is common in the art to which the present invention pertains without departing from the gist of the present invention claimed in the claims. Of course, various modifications are possible by those with knowledge of, and these modifications should not be individually understood from the technical spirit or prospect of the present invention.

10. Place Marketing Optimization System
100. Web data server
200. Management server
300. Management terminal
400. Printer

Claims (3)

A web data server that searches and collects information on places registered on the portal site; and
A management server that analyzes the data received from the web data server to generate and manage place score information;
The web data server,
a data collection unit that searches and collects place information registered on the portal site; and
And a transmission unit for transmitting the data collected from the data collection unit to the management server,
The management server,
a transmitting/receiving unit for receiving data from the web data server and transmitting the organized data to a management terminal;
a data extraction unit extracting data necessary for calculating a place score from data received from the web data server;
a score calculation unit that organizes and analyzes the data extracted from the data extraction unit and calculates a score for each place; and
Using the place data stored by the data extraction unit, marketing advertisement phrases suitable for the marketing target by learning (deep learning) information on awareness, age group, or revisit rate of the marketing target and usable phrases or images through big data analysis A keyword generator that automatically generates a search term; includes;
a tablet-type management terminal that communicates with the management server, receives data, and enables place data and list confirmation at a remote location; and
A printer that communicates with the management terminal and outputs the place data and list organized by the score calculation unit;
the printer,
a card terminal provided so that a person who wants to help marketing by outputting place data can make a card payment; and
A noise reduction unit installed below the printer to reduce noise generated by the operation of the printer;
The noise reduction unit,
an upper case supporting the printer, coupled to an upper magnetic body on one side, and having fitting grooves on both sides;
a lower case supported on a bottom surface, coupled to a lower magnetic body on one side, and provided with fitting protrusions on both sides;
And a diaphragm located in an inner space formed by the upper case and the lower case.
The diaphragm is
Fitting hole formed on one side; and
A central magnetic body formed at a position facing each other to generate mutual repulsive force with the upper magnetic body and the lower magnetic body;
The diaphragm is inserted into the fitting protrusion through the fitting hole, seated on a seating surface where the fitting protrusion is formed, and installed in an inner space formed by the upper case and the lower case,
the printer,
A card cleaner installed on one side to remove foreign substances from the credit card; further comprising,
The card cleaner,
A housing installed on one side of the printer;
a card moving unit extending from the rear end of the housing to the front end of the housing along one side of the housing so that a credit card can be moved to the front end of the housing after being inserted into the rear end of the housing;
a first roller facing the second roller and installed above the card moving unit to remove foreign matter adhering to the upper surface of the credit card moving along the card moving unit;
a second roller facing the first roller and installed below the card moving unit to remove foreign substances attached to the lower surface of the credit card moving along the card moving unit; and
An automatic moving unit installed on one side of the housing to move the credit card to the front of the housing along the card moving unit after fastening the credit card when the credit card is inserted into the rear end of the card moving unit,
The first roller,
a front roller supporting an inward surface of the rear end of the cleaning belt, facing the rear roller, installed above the rear end of the card moving unit, and rotationally driven in the same direction as the rear roller when a driving request is received;
a rear roller that supports an inward surface of the front end of the cleaning belt, is installed above the front end of the card moving unit while facing the front roller, and rotates in the same direction as the front roller when a driving request is received; and
The rear end is supported by the rear end roller, and the front end is supported by the front end roller so that the lower outward surface is in close contact with the upper surface of the trial card inserted into the card moving unit, and the front end roller and the rear end roller are driven to rotate. A system for optimizing place marketing, comprising: a cleaning belt which rotates in a direction opposite to the moving direction of the credit card according to the direction in which the credit card moves and removes foreign substances attached to the upper surface of the credit card.
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