KR101679750B1 - System for evaluating a brand using big data analysis to provide customized information - Google Patents

Abstract

The present invention relates to a system capable of automatically calculating the current and future leverage of a brand, designated by a client, by collecting information about the brand from an internal homepage and members through a big data server and analyzing the information through artificial intelligence algorithm. The system includes: a target setting part receiving a keyword of an investigation target brand; an application installed in a portable device of a member to collect a survey result about the brand and an interesting industrial area of the member; and a big data server collecting information about the brand from a predesignated internet homepage, collecting a result of the survey after the transmission of the survey to the application, collectively evaluating the brand for the determination of a brand quality based on the collected information, and calculating the future brand power for the determination of the future leverage of the brand.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a system and method for evaluating a brand,

The present invention relates to a system for evaluating a brand by big data analysis in order to provide customized information. More specifically, the present invention relates to a system for collecting information related to a brand designated by a client from an Internet homepage and members, And the system automatically calculates the current influence and the future influence of the brand.

In the modern age, individual users can freely create their own ideas through social media and various community sites, and publish their thoughts on the internet. Or electronic files, it is possible to acquire various and vast amounts of information through the Internet.

As such, data in a variety of properties and formats are circulating and accumulating in the Internet, and are increasing day by day.

These large data, also called big data, have the potential to be used in a variety of ways when they are handled appropriately for the purpose.

Therefore, big data utilization technology that collects desired information among large-scale data existing on the Internet, analyzes it and interprets it as desired information has appeared, and actual business is performed with information processed through big data utilization technology .

However, the current Big Data Utilization Service has a limited range of applications because it deals with information provided by the client when the client requests Big Data Analysis Technology.

In addition, current big data analysis technology has a problem that it can not grasp the latest tendency of any brand because it performs information collection and analysis only based on past information posted on the internet homepage.

In the information age, competitiveness is determined according to how much personal information is possessed by an individual. Nowadays, a display device for displaying customized information created through analysis of big data is used for a monitor, a beam projector, There is a limit to the personalization of professional information because it is done only in a form that other people can see together.

Patent Publication No. 10-2012-0087253: User-customized content providing system and user-customized content providing method

Accordingly, the present invention has been made in view of the above circumstances, and it is an object of the present invention to provide a method and system for collecting information related to a brand designated by a client by a Big Data Server from an Internet homepage and members, And to provide a system for calculating current influence and future influence of the system.

)과, 상기

기간 동안의 과거 가치레벨(

)과, 상기

의 기간 이후부터 현재까지의 기간(

)과, 상기

기간 동안의 과거 가치레벨(

)을 결합하여In order to achieve the above object, a system for evaluating a brand by big data analysis in order to provide customized information according to the technical idea of the present invention includes a target setting unit for inputting keywords of a survey target brand, An application for collecting a questionnaire result of the brand, an application for collecting the interested industrial zone of the member, information about the brand, and the like, And a big data server for performing an overall evaluation for judging the level of the brand with the collected information and calculating a future brand power for determining a degree of future influence of the brand, After the appearance of the brand, the period of the current 3/4 of the period until now (

),

Past value level during the period (

),

Period after the period of

),

Past value level during the period (

)

로 1차 미래 브랜드 파워(

)를 산출하며, 상기 빅데이터 서버는 상기 회원의 관심 산업 영역과 관련 있는 브랜드의 종합 평가 및 미래 브랜드 파워를 상기 애플리케이션으로 전송하는 것을 특징으로 한다.

The first future brand power (

), And the big data server transmits an overall evaluation of a brand related to the member's industrial area of interest and future brand power to the application.

및 상기

와, 상기 설문조사를 통해 산출된 현재 가치레벨(

)과, 상기 설문조사가 실시된 기간(

)을 결합하여 2차 미래 브랜드 파워(

)를 산출하며, 상기 2차 미래 브랜드 파워(

)는 상기 1차 미래 브랜드 파워(

)를 산출하는데 이용된 수학식에서 상기

를 상기

로, 상기

를 상기

로, 상기

을 상기

로, 상기

를 상기

로 치환하여 산출되고, 상기 1차 미래 브랜드 파워(

)와 상기 2차 미래 브랜드 파워(

)의 평균 값으로 미래 브랜드 파워(F)를 산출하는 것을 특징으로 할 수 있다.In addition, the big data server

And

And a current value level calculated through the survey (

), The period during which the survey was conducted (

) To create a second future brand power (

), And the second future brand power (

) Is the primary future brand power

In the equation used to calculate

Gt;

As a result,

Gt;

As a result,

Gt;

As a result,

Gt;

, And the primary future brand power ("

) And the second future brand power (

) Of the future brand power (F) as an average value of the future brand power (F).

Also, the Big Data Server analyzes the information collected from the Internet homepage using an Analytical Hierarchy Process (AHP) hierarchical analysis method to calculate a relative weight, performs a past evaluation, and transmits the collected information to the brand The current evaluation is performed to derive a median value by generating a normal distribution composed of the number of evaluation points on the x-axis and the number of evaluation points on the y-axis, And the overall evaluation is performed by applying the relative weight calculated in the past evaluation as a weight.

The apparatus of claim 1, further comprising a head wearable display device communicating with the application and displaying information received from the big data server, the display device comprising: a display installed at a position facing the wearer's eyes; An iris scanner disposed toward a side of the display to scan the iris of the wearer reflected on the display to confirm whether the member is stored in the display, and a biometric information collecting unit for detecting the electrocardiogram and the body temperature of the wearer, The bio-information collecting unit sequentially irradiates the wearer with a first laser having a wavelength between 1800 nm and 1950 nm and a second laser having a wavelength between 2000 nm and 2200 nm, and then receives the light transmitted through the skin, A non-invasive electrocardiogram analyzer for detecting the electrocardiogram of a wearer, Copied from the wearer of the first laser or the second it may be characterized in that the second measuring laser beams composed of the laser thermometer for detecting the temperature.

The display device may further include a head-mounted display device for displaying information received from the big data server in communication with the application, wherein the display device is installed at a position facing the wearer's eyes, And a display configured of light receiving elements for scanning the eyes of the wearer facing to check whether the member is stored in the big data server, wherein the display includes a light receiving element circuit and a light emitting element circuit together in a pixel, The light emitting element circuit includes: a light emitting switching transistor having a gate signal line connected to a gate terminal and a data signal line connected to a drain terminal; A driving transistor having a gate terminal connected to the source terminal of the light emitting switching transistor and a source terminal connected to the anode terminal of the light emitting element; A drain terminal connected to a source terminal of the switching transistor for light emission and a gate terminal of the driving transistor and the other terminal connected to a drain terminal of the driving transistor, A sensing transistor which is connected to the drain terminal of the transistor and whose gate terminal is connected to the common node Vcom; A scan switching transistor having a drain terminal connected to a source terminal of the sensing transistor, a gate terminal connected to the gate signal line, and a source terminal connected to a read out data line; And a scan capacitor having one end connected to the source terminal of the sensing transistor and the drain terminal of the switching transistor for scanning and the other end connected to the common terminal (Vcom). The switching transistor and the driving transistor for light- wherein the sensing transistor is a top gate type thin film transistor, the light emitting element of the edge portion of the display is lit while the display of the wearer scans the eyes, And the light receiving element at the central portion scans the eye.

According to the system for evaluating a brand by big data analysis in order to provide customized information as described above,

First, Big Data Server automatically collects and analyzes information from various sources through a predefined algorithm, which is determined by the client, and calculates the total evaluation and future brand power. It will be able to quickly acquire the reflected comprehensive information and information that can predict the future outlook.

Secondly, since members are provided with customized information about the brand in response to a request for a questionnaire about the brand from the member, the member can quickly and easily grasp the market trend, and the service provider, which provides the embodiment of the present invention, It becomes easier to do.

Third, Big Data Server collects and analyzes information of civil / criminal cases and complaints processing information on the internet for collecting data on the brand. Therefore, it is possible to grasp the authenticity of rumors spread on the Internet, .

Fourth, Big Data Server can easily grasp the market by extracting competitive products or competitors from the large data that are searched for, if the brand is a product or company, and by analyzing the size of competitors 'products or competitors' size.

Fifth, if the client wants to know the best way to advertise the brand and the cost, Big Data Server derives the publicity form and the expected publicity cost of the companies after deriving the competitive company, .

Sixth, if the government agency requests the publicity of the campaign through the present invention, it can provide the information of the campaign along with the customized information to the members, and measure the electrocardiogram and body temperature at the same time when the member views the campaign It will be possible to automatically collect public opinion on the campaign.

Seventh, the members can confirm the personal information received from the Big Data Server through the head wearable video device, thus helping the individual to compete according to the information age.

Eighth, the imaging device scans the iris of the wearer through the iris scanner or the light receiving element of the display, thereby confirming whether the user is a member, thereby preventing the customized information from being provided to the other person.

Ninth, since the iris scanner of the imaging device scans the iris of the wearer reflected on the display, it is possible to scan the iris side to obtain an incomplete image or to prevent the iris image from being obstructed by the eyelashes.

Tenth, the biometric information collecting part provided in the imaging device is composed of a non-invasive electrocardiogram analyzer and a laser thermometer to obtain reliable biometric information. The laser thermometer can measure the body temperature using an infrared laser irradiated by a noninvasive electrocardiogram analyzer So that it is possible to reduce the number of laser light sources for collecting biometric information, thereby saving manufacturing cost and power consumption.

1 is a block diagram of a system for evaluating a brand by big data analysis in order to provide customized information according to an embodiment of the present invention.
FIG. 2 is an example of a normal distribution graph of information collected from a member through a brand analysis sub-survey of a system for evaluating a brand by big data analysis in order to provide customized information according to an embodiment of the present invention.
3 is a diagram of an application and video device of a system for evaluating a brand in a big data analysis to provide tailored information in accordance with an embodiment of the present invention.
4 is a view showing a state in which a video device of a system for evaluating a brand by big data analysis is worn to provide customized information according to the first embodiment of the present invention.
5 is a circuit diagram of a light emitting element and a light receiving element which are present in one pixel of a display according to a second embodiment of the present invention;
6 is an enlarged view of a biometric information collecting unit of a system for evaluating a brand by big data analysis to provide customized information according to an embodiment of the present invention.

Hereinafter, an embodiment according to the technical idea of the present invention will be described as follows.

A system for evaluating a brand by a big data analysis in order to provide personalized information including the wearable video device 300 according to an embodiment of the present invention is a system in which a client or a member selects a specific brand or an industrial region that the client or the member wants to investigate, The Big Data Server 100 conducts a survey to members who have been attracted in advance, collects reliable public information, and collects related information from news, social media, portal sites, And collecting and analyzing the brand power of the target brand, thereby performing a comprehensive evaluation of the target brand and estimating future brand power.

The comprehensive evaluation of a brand is the evaluation of the level of recognition, the level of technology, the level of marketing and design of the brand by analyzing the collected information, and the sum of the evaluated value by a certain rule. As shown in FIG.

Future brand power is the objective value of the degree of influence of the future surveyed brand based on the value level value calculated during the comprehensive evaluation process of the brand.

A system for evaluating a brand by big data analysis in order to provide customized information according to an embodiment of the present invention will be described in detail with reference to a configuration. The embodiment of the present invention collects information on a designated brand from a predetermined Internet homepage and members And a big data server 100 for performing overall evaluation of the brand and future brand power calculation based on the collected information.

The Big Data Server 100 has the same hardware configuration as a typical Server. However, it contains a program module which is implemented in C language, C ++, Java, Visual Basic, Visual C, etc. and performs various functions in software.

In particular, the program module includes a function for selecting search target information from information posted on the Internet and an artificial intelligence algorithm for analyzing the collected large-scale data.

There are statistical techniques that apply statistical techniques to provide a means of mathematically grasping the nature of data sets.

To analyze large-scale data with statistical techniques, techniques for extracting valid information from collected articles and words are required. Artificial intelligence is included in the symbol processing technique used at this time.

The artificial intelligence in this description is a software technology that is applied engineeringly to imitate human intelligent behavior to solve a specific problem. It is a high-level artificial intelligence It does not.

The server is generally connected to an unspecified number of clients or other servers through a wired / wireless communication network such as the Internet, receives a request for performing a work of a client or another server, derives a result of the work, Computer software (web server program).

However, in the case of a series of application programs operating on the server in addition to the server program described above, it should be understood as a broad concept including various databases built in the inside.

Also, the big data server 100 is preferably operated by a database management program for storing large-scale data.

A database management program (DBMS) refers to a general data structure implemented in a storage space (hard disk or memory) of a computer system. A database manager is a type of data storage that can freely retrieve (delete), delete, edit, and add data. It is a relational type such as Oracle, Informix, Sybase, An object-oriented database management system (OODBMS) such as a database management system (RDBMS), Gemston, Orion and the like, and an XML-dedicated database such as Excelon, Tamino and Sekaiju (XML Native Database), and has appropriate fields or elements to achieve its function.

The Internet is an open network. It is an open network that provides services that exist in the upper layer of the TCP / IP protocol, such as HyperText Transfer Protocol (HTTP), Telnet, File Transfer Protocol (FTP), Domain Name System (DNS) Mail transfer protocol, Simple Network Management Protocol (SNMP), Network File Service (NFS), and Network Information Service (NIS).

The big data server 100 performs search and analysis based on keywords related to the brand inputted through the target setting unit 150. [ The target setting unit 150 is configured to receive a keyword related to a brand, and a person using the embodiment of the present invention, such as a client, a system administrator, or a member, is input. The target setting unit 150 may be implemented as being included in the application 200, or input through a separate computer device.

A brand is a symbol that means any object such as a specific company, technology, product, government policy, or politician. Therefore, the keywords related to the brand may be a brand name, an enterprise name, a technical name, a product name, a policy name, a politician's name, and the like.

If the configuration of the big data server 100 is described in more detail, an information collecting unit 110 collects information on the brand on the Internet homepage and members' surveys, A comprehensive analysis unit 120 for analyzing the technical level, marketing and design according to predetermined rules to perform comprehensive evaluation, combining the value level and the validity period of the brand to calculate future brand power, And a membership management unit 130 for storing background information including age, sex, and occupation.

The information collecting unit 110 retrieves and collects information about the target from the Internet homepage. Since the path for accessing the effective information differs according to the Internet homepage, and the written article has the character of a written or spoken language, It is necessary to subdivide.

Accordingly, the information collecting unit 110 may include a news information collecting unit 112 for collecting news related to the brand on the home page of the media company, and a community information collecting unit 112 for collecting and collecting a post related to the brand on a cafe, a blog, A credit information collecting unit 114 for collecting and collecting job announcements related to the brand on a job homepage and a credit information collecting unit 114 for collecting and collecting the creditworthiness and financial statement information of a company related to the brand, An information collecting unit 115, an administrative information collecting unit 116 for collecting and collecting civil / criminal cases and complaint reporting information related to the brand from the home page of the national institution, and an intellectual property right related to the brand, And a patent information collecting unit 117 for collecting patent information.

The news information collecting unit 112 searches for news including keywords related to the brand on the homepages of domestic and foreign media companies. The homepage of the press provides a keyword search function so that the news posted in the past can be easily searched. Therefore, the news information collection unit 112 catalogs the homepage of the media company to be searched in advance and stores an area where keyword search can be performed on the homepage and an interface for inquiring news, The result is inquired. Recently, there is a homepage with a comment system that allows users to leave their opinions on the news. The information related to the news collected by the news information collection unit 112 is used to evaluate the brand recognition and marketing.

The community information collection unit 113 searches for and collects posts related to the brand from cafes, blogs, community sites, and social media. A cafe is a homepage where people with a certain interest gather to exchange information and opinions. A blog is an individual who manages a blog, and the person who manages the blog posts various topics such as his own experience, information collected directly, It is a homepage. In Korea, cafes and blogs are offered free of charge to individual members in representative portal sites such as Naver and Next Cacao. The community site is a virtual community formed on the Internet. A community site is a social organization of individuals interacting through a specific medium, transcending geographic and political boundaries to pursue each other's interests and goals. If the above-mentioned cafes become huge, they will have the character of a community site. Domestic community sites include Dish Inside, Chubpu, and Ruri Web. Social media is a homepage where a large number of people can participate and share, especially where communication is achieved through relationship or friendship. The categories of social media include social network services (SNS), and the blogs described above have some similar characteristics. Typical social media include Facebook and Twitter. Since most community sites have a colloquial format, the community information collection unit 113 collects information related to the brand including expressions included in colloquialisms. The information collected by the community information collection unit 113 is used to evaluate the brand recognition, the skill level, and the marketing and design.

The job search information collection unit 114 searches for a job announcement related to a brand on a job homepage and collects the search result. The job homepage is a place where employees and employees can easily obtain job information by posting information related to job search and job search. In Korea, there are job Korea, worknet, and people. If the brand name is the name of the company, the company can search the job announcement posted on the job homepage to collect the employment hiring status. Generally, the job homepage lists the approximate size of the company, so the information can also be collected. If the brand is a product name or an engineering name, the information collected through the news information collection unit 112 or the community information collection unit 113 may be analyzed to obtain a list of related companies and then search for job announcements of the company. As the scale of business increases due to the increase of sales, companies naturally need new manpower. Therefore, it is possible to collect job information for reference in evaluating the degree of growth of the brand.

The credit information collection unit 115 collects the financial status and credit information of a company when the brand is a corporation or when a company related to the brand exists. A company's financial position is information about the sales and expenses incurred in the operation of the company. It is organized into financial statements, income statement, financial statement, cash flow statement and balance sheet. The company's financial status information includes details such as the amount spent on marketing, allowing the company to know how much money it spent on promotions over the past year. Financial status information can easily be obtained from a brokerage firm's homepage or a homepage providing stock information if it is a listed company. In addition, the credit information refers to the credit rating of the company, which is the information that comprehensively assesses the credit status, such as the management status and financial ability of the evaluated company. Credit information can be obtained from the homepage of Seoul Credit Rating Information, Nice Evaluation Information, etc. The information collected by the credit information collection unit 115 is used to evaluate the marketing of the brand.

The administrative information collection unit 116 searches for civil / criminal cases, civil complaints, and processing cases related to the brand on a homepage such as a court or a government office, among national homepage homepages. If the brand is a person or a corporation, unlike the facts known to the public, a complaint may have occurred due to disputes or pollution. The information collected by the administrative information collection unit 116 becomes reference data on the popularity of the brand, and is information that allows the client to objectively determine the popularity of the current brand.

The patent information collecting unit 117 is a configuration for searching for an intellectual property right filed or registered through an agency such as the Patent Office or the Copyright Association. By collecting intellectual property information related to the brand, it becomes possible to objectively judge the technical power of the brand. The search target may be the intellectual property rights of the competitor in competition with the brand and the brand. Internet homepages that can search for intellectual property rights include Kryptis and NDSL. The information collected by the patent information collection unit 117 is used to evaluate the skill level and design of the brand.

Each of the components included in the information collecting unit 110 is configured with an Internet homepage to be searched in advance and the location of the web page to be searched is set in advance do.

Information collected through the information collecting unit 110 can be viewed as past information since it is information posted on the Internet homepage at various times in time from present to past.

In order to analyze large-scale data collected by the information collection unit 110, the comprehensive analysis unit 120 has a detailed configuration according to the type of information to be analyzed. The comprehensive analysis unit 120 includes a competitor derivation unit 122 for deriving a competitor through a keyword having a high citation frequency from the information collected by the information collection unit 110, A publicity cost calculation unit 124 for calculating a marketing form and a required cost of a competitor derived from the competitor derivation unit 122 and a publicity cost calculation unit 124 for analyzing the information collected by the information collection unit 110, And a future prediction unit 128 for calculating the future brand power by combining the validity period of the value level and the brand.

The competitor derivation unit 122 analyzes information collected in a large amount using predetermined statistical techniques. Particularly, the competitor derivation unit 122 searches for information related to the brand, especially about the competitive brand, and recognizes the company name, the product name, and the brand name mentioned in the collected information together with the brand. The competitor derivation unit 122 obtains more specific information by collecting related information again by the information collecting unit 110 using the name of the searched competitive brand as a keyword instead of finding only the name of the competitive brand. The acquired competitive brand is communicated to the clients when they transmit information about the brand, helping them to know the competitors, competitive technologies and competitive products that the client has not been aware of.

The publicity cost calculator 124 is used to deduce the anticipated marketing costs associated with the brand designated by the client. The advertisement cost calculation unit 124 separately collects advertisements related to the brand from the information collected in the entire information collecting unit 110 to list the advertisement types of the brands and transmits the advertisements related to the brands collected by the credit information collecting unit 115 The estimated marketing cost is calculated by referring to the marketing cost in the financial state information of the company. If the financial status information of the company related to the brand can not be obtained, the advertisement type of the competitor acquired in the competitor derivation unit 122 is collected, and the marketing cost is calculated by referring to the marketing cost in the information on the financial status of the competitor can do. It is desirable for competitors to target firms with similar size or sales by comparing their financial status with those related to the brand. The marketing cost calculated by the publicity cost calculating unit 124 is transmitted together with the advertisement type and the expected marketing cost, so that the client who intends to perform the related marketing can estimate the estimated cost.

The brand analysis unit 126 analyzes the brand of the search target and performs the comprehensive evaluation. In particular, since the recognition degree, the skill level, the marketing and the design of the target brand are evaluated based on the information collected by the comprehensive analysis unit 120 and the information collected through the survey conducted through the application 200, It becomes possible to provide the public with the public's perceptions at an objective value.

The brand analysis unit 126 expresses the overall evaluation of the brand with a score. The brand analysis unit 126 analyzes the information collected from the Internet homepage with the information collection unit 110 to perform the past evaluation. In addition, the relative weight is calculated by using the Analytic Hierarchy Process (AHP), which is one of the hierarchical analysis methods after the past evaluation. First, the brand analysis unit 126 creates a comparison matrix table that performs past evaluations with respect to brand recognition, technology level, and marketing and design items. At this time, if the calculated past evaluation values are combined by a certain rule, the past value level is calculated. Then, the relative weight for each element is calculated based on the value input to each node of the prepared comparison matrix table. When the creation of the comparison matrix table is completed, the brand analysis unit 126 calculates a normalized value for each node, and then calculates a relative weight by an average of the normalized values.

Awareness Technology
level Marketing design Awareness Technology
level Marketing design opponent
importance Awareness One 5 2 3 0.492 0.417 0.533 0.462 0.476 Technology
level 1/5 One 1/4 1/2 0.098 0.083 0.067 0.077 0.081 Marketing 1/2 4 One 2 0.246 0.333 0.267 0.308 0.288 design 1/3 2 1/2 One 0.164 0.167 0.133 0.154 0.154 system 2.03 12 3.75 6.5 One One One One One value
level 24.28

Table 1 shows an example in which the brand analysis unit 126 calculates the past value level and the relative weight of the brand.

Since the information collected by the comprehensive analysis unit 120 is information that has been posted on the Internet homepage in the past based on the present, it includes comprehensive information about the brand from the past to the present. Therefore, the analysis based on only the information collected by the comprehensive analysis unit 120 is judged as a past evaluation of the brand.

In addition, the brand analysis unit 126 performs the current evaluation by converting the survey results collected from the member through the application 200 into a normal distribution. The x-axis of the normal distribution is composed of evaluation scores, and the y-axis is composed of the number of evaluation scores. A normal distribution is generated for each of brand awareness, skill level, marketing and design (see FIG. Members' evaluations of brands collected through surveys are information collected directly from members within just a few hours, so they assess the current status of the brand under investigation. The present value level is calculated by combining a median derived from the generation of a normal distribution for each of the brand awareness, skill level, marketing, and design by a certain rule.

Then, the brand analysis unit 126 performs an overall evaluation by combining the past evaluation value and the current evaluation value.

Relative weight Median Overall assessment Awareness 0.476 7.3 10.775 Skill level 0.081 3.0 3.243 Marketing 0.288 7.8 10.046 design 0.154 6.1 7.040 system One 24.2 31.104 Current value level 24.2

As shown in Table 2, the comprehensive evaluation is performed by calculating the score by applying the weight of the relative weight calculated in the past evaluation to the median value derived from the current evaluation. Since the past evaluation is based on the past information of the latest information gathered from the beginning of the brand and the current evaluation is derived using only the current information collected from the members for a few hours, Is a comprehensive result that reflects the past and present state of.

The future predicting unit 128 calculates future brand power. Future brand power is based on past and current brand influence, and how future influence will influence future brand by current standard. Future brand power is an objective comparable indicator that can determine the level of market dominance or loyalty of the brand in the future.

The values used include a past value level (see Table 1) evaluated before calculating the relative weight by the brand analysis unit 126, a present value level obtained by converting the survey result collected from the member into a normal distribution, The period up to the present is used. At this time, the appearance of a brand is when the brand is released to the public.

The formula for calculating future brand power (F) is as follows.

은 브랜드의 등장 후 현재까지 기간 중 오래된 3/4에 해당하는 기간이고,

은

기간 동안 브랜드의 과거 가치레벨이다. 정보수집부(110)에서 수집된 정보 중 게시된 시일이 포함된 정보에서 가장 오래된 정보를 추출하는 것으로 브랜드가 등장한 시일을 판단할 수 있다. 또한, 브랜드 분석부(126)는 게시된 시일이 포함된 정보 중

의 기간에 포함된 정보만으로 브랜드의 과거 가치레벨(

)을 산출할 수 있다.

는

의 기간 이후부터 현재까지의 남은 1/4의 기간이고,

는

기간 동안 브랜드의 과거 가치레벨이다.

과

의 기간은 년(年), 월(月), 일(日) 또는 시간, 분, 초 중 어느 하나로 표현될 수 있으며, 동일 단위로 표현된다.In Equation (1)

Is the period corresponding to the old 3/4 of the period since the brand's appearance,

silver

It is the past value level of the brand during the period. It is possible to determine the seal appearance of the brand by extracting the oldest information from the information including the posted seal among the information collected by the information collecting unit 110. [ Also, the brand analysis unit 126 may store the information including the posted date

Of the brand's past value level

) Can be calculated.

The

Lt; / RTI > period from the period of < RTI ID = 0.0 >

The

It is the past value level of the brand during the period.

and

The period of time can be expressed as either year, month, day, or hour, minute, or second, and is expressed in the same unit.

을 해당되는 기간인

으로 미분하고,

를

로 미분하는 것으로

과

의 순간 가치레벨을 산출할 수 있다.The prediction unit 128 predicts

To the corresponding period

≪ / RTI >

To

By differentiation into

and

Can be calculated.

과

의 순간 가치레벨의 비교를 통해 가치레벨이 최근에 이를수록 확대 또는 수축되고 있는지를 판단할 수 있다.Also,

and

It is possible to determine whether the value level is increasing or contracting more recently as the value level is compared.

If Equations (2) and (3) are substituted into Equation (1), it will be possible to express the degree to which the brand will be influenced in future by an objective numerical value.

)으로, 상기 최근의 기간을 남은 1/4 기간(

)인 것으로 정의하였다. 이로써 최근 변동된 브랜드의 영향력이 반영하게 되므로, 산출된 미래 브래드 파워는 보다 높은 정확도를 가질 수 있게 된다.Brands may expand or contract over time. Therefore, the level of influence of past brands can be significantly different from recent influences. In this example, the past period is divided into 3/4 period (

), The 1/4 period remaining in the latest period (

). This reflects the influence of recent changes in the brand, so that the calculated future Brad power can have higher accuracy.

)를 산출할 수 있게 된다.In this way, the future prediction unit 128 predicts the future future brand power

) Can be calculated.

)를 산출한다. 2차 미래 브랜드 파워(

)는 과거 평가에 이용된 1/4기간 동안의 과거 가치레벨과, 애플리케이션(200)으로 획득된 현재 가치레벨로, 즉 상기

및

와, 현재 가치레벨(

)을 이용하여 산출된다.

는 회원의 설문조사를 통해 획득된 브랜드의 현재 가치레벨이다.

는 일정한 기간을 종합한 것이 아닌, 현재 설문조사로 단기에 수집된 정보로 산출된 값이므로

는 1인 것으로 한다. 2차 미래 브랜드 파워(

)는 수학식 1의

를

로,

를

로,

을

로,

를

으로 치환하는 것으로 산출한다.In addition, the future prediction unit 128 predicts future brand power

). Second Future Brand Power (

) Represents the past value level for the 1/4 period used in the past evaluation and the current value level obtained by the application 200,

And

And the current value level (

).

Is the current value level of a brand acquired through a member survey.

Is not a sum of a certain period of time, but is a value calculated from information collected in the short term by the current survey

Quot; 1 ". Second Future Brand Power (

) Is expressed by Equation (1)

To

in,

To

in,

of

in,

To

. ≪ / RTI >

)와 2차 미래 브랜드 파워(

)의 평균 값으로 보다 더 정확한 미래 브랜드 파워(F)를 산출할 수 있게 된다.The future prediction unit 128 predicts the future future brand power

) And the second future brand power (

) Can be calculated more accurately by the average value of the future brand power (F).

Typical brand assessment techniques focus on calculating the value of a brand as an amount. However, the influence of a brand does not necessarily increase in direct proportion to the amount of investment, and future income is not necessarily guaranteed by brand value. In addition, there are various factors that cause the value of the brand to be lost, and thus the existing methods of converting the value of the brand into the amount have problems in its effectiveness.

The comprehensive evaluation and future brand power of the present invention do not have a large proportion of the information related to money in the calculation process. In addition, since the current state of the brand and future prospects are evaluated on a certain basis, the degree of influence of the brands can be objectively judged by comparing the brands evaluated on the same standard. Therefore, the comprehensive evaluation and future brand power calculated in the present invention can be utilized for various market analysis activities such as determination of success of a specific brand's promotion strategy, analysis of a competitor in a specific industrial field, identification of a rapidly emerging brand, Adding a variable to the value of the value makes it possible to translate the brand value as well.

An embodiment of the present invention includes an application (200) installed in a member's portable device (20) to selectively download customized information among information on a target analyzed by a big data server (100).

The application 200 refers to a set of computer programs designed to perform a specific task and is also referred to as an application program. The application 200 in the embodiment of the present invention specifically refers to an application program that can be installed in a mobile device such as a mobile device 20, i.e., a smart phone, a PDA, or a tablet PC.

A person who intends to use the embodiment of the present invention installs the application 200 on his or her portable device 20. [ When the application 200 is first executed in the portable device 20, the member information collection unit 210 of the application 200 receives the interested industrial area and background information of the person to be a member. The industrial area of interest refers to existing industries such as electric car industry, natural energy industry, food and beverage industry, and additional companies or brands can be added according to the needs of members. Background information may include information such as age, gender, residence, occupation, income, hobbies, interests, and the like. When the information input is completed, the input information is transmitted to the big data server 100. The big data server 100 receiving the interested industrial zone and the background information stores the corresponding information in the member management unit 130 and registers it as a member.

The Big Data Server 100 provides information such as latest news determined to be of interest according to the interested industrial area and background information input by the member, and latest issues obtained by analyzing various Internet homepages. In addition, the big data server 100 transmits the comprehensive evaluation of the brand related to the interested industrial area of the member and the future brand power to the application 200.

The member management unit 130 of the big data server 100 requests the survey periodically to provide information to the members. Surveys are conducted in such a way that 1 to 10 points are selected for evaluation of recognition, skill level, marketing and design related to the surveyed brand requested by other members or clients. In addition, the questionnaire may further include a question about the satisfaction of the information provided by the big data server 100. When the member responds to all the surveys, the big data server 100 uses the information that the member replies to analyze about the survey target brand. Since members are composed of multiple members, collecting a large number of opinions through surveys will enable them to grasp the overall current public opinion on the subject brand.

The big data server 100 performs comprehensive analysis on the customized information to be transmitted to the application 200 according to the interested industrial area of the member collected by the member information collecting unit 210 of the application 200 and the response result of the background information and the survey (120). In particular, the information provided to each member through the responses to the repeated questionnaire will be adjusted to provide the member with the information they want most.

An administrator managing an embodiment of the present invention may provide members who have responded to the survey with additional items in addition to the information to encourage members to actively respond to the survey.

The member obtains the evaluation information on the brand of the industrial area of interest from the big data server 100, so that it is possible to perform the market analysis more reliably and easily.

In addition, the embodiment of the present invention includes a brand information posting unit 160 that publicly publishes some of the information analyzed by the big data server 100 on the Internet. The brand information publishing unit 160 provides information that can be used by the public since the brand information publishing unit 160 is implemented as a homepage that can be accessed by anyone from the outside via the Internet and displays a part of the information analyzed by the big data server 100. The publicity effect of the embodiment of the present invention can be enjoyed through the information disclosed through the brand information publishing unit 160. [

3 and 4, an embodiment of the present invention includes a head wearable imaging device 300 that communicates with an application 200 to display the customized information. The video device 300 refers to a display device that can be worn on the head, and includes a display 310 installed to face the wearer's head, particularly the wearer's eyes, to provide visual information to the wearer. The video device 300 may include a spectacular display device or a helmet type display device. To wear the video equipment 300, a wearer is attached to both sides or the upper side of the video equipment 300 such that the wearer's head is wrapped around the wearer's ear.

The video apparatus 300 includes a monocular-type display apparatus having one display 310 unit for displaying contents or a binocular-type display apparatus having a plurality of display 310 units capable of displaying a three- -type display device. The binocular display device may selectively operate one of the display 310 units of the plurality of display 310 units.

The video apparatus 300 can be connected to the portable apparatus 20 in which the application 200 is installed using a communication unit and a connector in a wired or wireless manner.

As shown in the figure, the embodiment of the present invention is implemented by connecting the smartphone of the member having the application 200 and the video device 300 connected to each other. However, when the video device 300 is connected to the smart phone, , The video device 300 itself can be the portable device 20. In this case,

The video apparatus 300 displays the information received from the big data server 100 by the application 200 so that the member 200 can inquire the member, thereby providing an environment that the third party can not peek into. Since the video device 300 is a device to be worn on the human body, it is easy to detect the biometric information of the wearer to identify the person using this feature.

The video device 300 includes an iris scanner 320 disposed on the side of the display 310 to face the display 310 and scan the iris of the wearer reflected on the display 310. [ The iris scan refers to a process of photographing an iris to recognize an iris pattern and analyzing an iris pattern that can be seen between the pupil and the sclera in the image of the iris. In order to store the iris information of a plurality of members in the big data server 100, the iris image is preferably analyzed and then converted into a 512-byte digital template and stored.

The application 200 is installed in the member's portable device 20 and acquires the iris image of the member with the iris scanner 320 at the first execution and transmits the iris image to the big data server 100. The iris scanner 320 The iris image of the wearer is scanned and compared with the iris image stored in the big data server 100, thereby confirming whether the same person is the same person.

In particular, the iris scanner 320 has a feature of scanning the wearer's iris, which is disposed on the side of the display 310 in the display device 300 and reflected on the display 310. Since the iris scanner 320 is disposed on the side of the display 310 and faces the wearer's eyes immediately, only the side image of the iris can be obtained, so that the recognition rate is lowered. In addition, since eyelashes are formed around a human eye, it becomes more difficult to acquire iris images by the eyelashes when the iris scanner 320 is disposed on the side of the display 310 and faces the wearer's eyes immediately. When the iris scanner 320 is disposed on the side of the display 310 as in the first embodiment and the iris of the wearer reflected on the display 310 is scanned, not only a frontal image of the iris can be obtained, Thereby preventing iris image acquisition from being disturbed.

In addition, for better iris scanning, the display 310 maintains a state in which only the edge area in which the iris is not reflected is kept on during the iris scan, so that glare can be prevented and the iris can be more clearly reflected. In addition, the display 310 may be implemented by bonding or coating a material such as a ceramic with good reflection on the surface.

The display 310 of the video apparatus 300 includes light emitting elements that are installed at positions facing the wearer's eyes and display information received from the big data server 100, (The iris scanner 320 in the configuration shown in FIG. 4 is omitted)

The light receiving element of the display 310 acquires the iris image of the wearer or detects the overall eye movement of the wearer's pupil, pupil, eyelid and the like. The feature of acquiring the iris image and confirming whether the iris image is the same person is the same as the first embodiment.

Referring to FIG. 5, the display 310 of the second embodiment can obtain a scanning effect having the same resolution as the resolution of the display 310 by incorporating an amorphous thin film transistor (TFT) as a light receiving element in each pixel.

The light emitting device of the display 310 may be a bottom emission AMOLED of a back light emitting structure. When the light of the light emitting element goes downward, a photo-current flows to the light receiving element by the light, and the light has a different positive current depending on the position of the object facing the glass And a capacitor is charged by the current to read the charged voltage through a read out IC during a scan signal so that a scan is performed. To this end, a light emitting element for outputting an image and a light receiving element for scanning a facing image are arranged in a plurality of pixels.

 Specifically, the display 310 is formed with a light receiving element circuit and a light emitting element circuit together in a pixel. The light emitting element circuit includes a light emitting switching transistor TS1 in which a gate signal line Gate is connected to a gate terminal and a data signal line Data is connected to a drain terminal and a gate terminal is connected to a source terminal One end of which is connected to the source terminal of the light emitting switching transistor TS1 and the gate terminal of the driving transistor TD and the other end of which is connected to the anode terminal of the light emitting element OLED, And a light emitting capacitor C1 connected to the drain terminal of the driving transistor TD. The light emitting element circuit comprises two transistors (TS1, TD), one capacitor (C1) and a light emitting element (OLED). In the above-described circuit, the data voltage input to the data signal line Data is stored in the light-emitting capacitor C1 while the signal coming through the gate signal line Gate is at a high level, The current flowing through the driving transistor TD is adjusted by the data voltage. The adjusted current flows through the light emitting device OLED and the intensity of the light emitted when the current flowing through the light emitting device OLED is adjusted is adjusted.

The light receiving element circuit includes a sensing transistor TP whose drain terminal is connected to the drain terminal of the driving transistor TD and whose gate terminal is connected to the common terminal Vcom and a drain terminal connected to the source terminal of the sensing transistor TP A scan switching transistor TS2 connected at one end to the gate signal line Gate and a source terminal connected to a read out data line Read out data, And a scan capacitor C2 connected to the drain terminal of the scan switching transistor TS2 and the other end connected to the common terminal Vcom. That is, the light-receiving element circuit is composed of two transistors TP and TS2 and one capacitor. The gate terminal voltage of the sensing transistor TP is always held at the voltage of the common terminal Vcom of -5 V and light is received and the photo current flows from VDD to charge the scan capacitor C2, The signal coming from the gate is read out through the read out data line (read out data).

As shown, the drain terminal of the driving transistor TD and the drain terminal of the sensing transistor TP are commonly connected to VDD. That is, the light emitting element and the light receiving element are built in one pixel, and the light emitting element circuit and the light receiving element circuit are simultaneously driven by using the VDD lines as one.

The light emitting element is a bottom emission structure that emits light to the wearer in order to output information to the display 310. The light receiving element senses light on the back side to scan a scene facing the display 310 do. Since the light receiving element senses the light on the back side as described above, the sensing transistor TP included in the equivalent circuit of the light receiving element must structurally eliminate the light blocking effect by the gate line. Therefore, in order to eliminate the light blocking effect by the existing gate line and to keep the dark current of the light receiving element low, the sensing transistor TP is composed of a top gate type thin film transistor, The included switching transistor TS1 for light emission and the driving transistor TD are composed of a bottom gate type thin film transistor.

In addition, the display 310 of the second embodiment illuminates the light emitting element at the edge portion of the display 310 while scanning the wearer ' s eyes to acquire the iris image of the wearer, The device scans the wearer's eyes.

As a result of scanning the wearer's eyes entirely by including a light receiving element that scans the face of the display 310 itself as in the second embodiment, it is possible to accurately acquire a frontal image of the iris, The iris image acquisition is prevented from being disturbed by the object.

If a member confirms the likelihood of the information received through questionnaire, it will cause inconvenience to use. Therefore, as shown in FIG. 6, the video apparatus 300 according to the embodiment of the present invention further includes a biometric information collecting unit 330 for detecting the electrocardiogram and the body temperature of the wearer. The application 200 collects the biometric information of the wearer with the biometric information collection unit 330 provided in the video apparatus 300 while the wearer of the video apparatus 300 inquires the information provided by the big data server 100, To the server (100). The big data server 100 analyzes the information retrieved by the wearer of the video apparatus 300 and the biometric information collected through the biometric information collection unit 330 to analyze the likelihood of the wearer with respect to the information. For example, if the body temperature is elevated or the electrocardiogram value is elevated during the inquiry of any information provided by the wearer of the visual device 300, it is determined that the user feels excited by the information.

 The biometric information collecting unit 330 sequentially irradiates the wearer with two infrared laser beams having different wavelengths, receives the light transmitted through the skin, compares the amount of light absorbed by the human body, and detects the non-invasive electrocardiogram And inspectors 331, 332, 333. The non-invasive electrocardiograph analyzer 331, 332, 333 irradiates a first laser 331 having a wavelength between 1800 nm and 1950 nm and a second laser 332 having a wavelength between 2000 nm and 2200 nm to transmit the light, 333), it is possible to obtain the RR interval value of the electrocardiogram by comparing the degree of absorption or scattering of the light received by the human body, and the RR interval is increased or decreased to deduce the blood glucose level, heart rate and body temperature .

 The biometric information collecting unit 330 further includes a laser thermometer 336 for measuring the radiation energy generated by irradiating the wearer with an infrared laser and detecting the body temperature. The laser thermometer does not include a separate laser irradiation part and detects the body temperature by measuring the radiant energy generated from the first laser or the second laser irradiated by the noninvasive electrocardiogram analyzer 331, 332, 333. Thereby, the number of parts constituting the laser thermometer can be reduced, and the image display apparatus 300 can be further reduced in size and weight, and manufacturing is facilitated, and energy for driving the laser thermometer can be saved.

Since the biological information collecting unit 330 irradiates the human body with the infrared laser light, it is preferable that the biological information collecting unit 330 is disposed at a position not adjacent to the wearer's eyes.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It is clear that the present invention can be suitably modified and applied in the same manner. Therefore, the above description does not limit the scope of the present invention, which is defined by the limitations of the following claims.

20: portable device 100: big data server
110: information collection unit 112: news information collection unit
113: Community information collecting unit 114: Job information collecting unit
115: credit information collection unit 116: administrative information collection unit
117: Patent information collecting section 120: General analysis section
122: competitor derivation part 124: publicity cost calculation part
126: Brand Analysis Division 128:
130: Member management unit 150: Target setting unit
160: Brand information publishing unit 200: Application
210: Member information collecting unit 300: Video equipment
310: Display 320: Iris Scanner
330: biometric information collecting unit 331: first laser
332: second laser 333: light receiving part
336: Laser thermometer

Claims (5)

A target setting unit for receiving a keyword of a survey target brand;
An application that is installed in a member's portable device and collects survey results of the brand and an industry area of interest of the member;
Collecting the information on the brand on a predetermined Internet homepage, collecting the results after transmitting the survey to the application, collectively evaluating the level of the brand with the collected information, and evaluating the degree of future influence of the brand And a big data server for calculating the future brand power for judging,
The big data server stores a period corresponding to the old 3/4 of the period until the present

),

Past value level during the period (

),

Period after the period of

),

Past value level during the period (

)

The first future brand power (

),
Wherein the Big Data Server transmits a comprehensive evaluation of a brand related to the member's interested industrial area and a future brand power to the application, and evaluates the brand by big data analysis to provide customized information. The method of claim 1, wherein the big data server
remind

And

And a current value level calculated through the survey (

), The period during which the survey was conducted (

) To create a second future brand power (

),
The second future brand power (

) Is the primary future brand power

In the equation used to calculate

Gt;

As a result,

Gt;

As a result,

Gt;

As a result,

Gt;

, ≪ / RTI >
The primary future brand power (

) And the second future brand power (

) Of the future brand power (F) is calculated as an average value of the future brand power (F). The method of claim 2, wherein the big data server
The information gathered from the Internet homepage is analyzed by the Analytical Hierarchy Process (AHP) hierarchical analysis method, and the relative weight is calculated,
The information gathered through the questionnaire was subjected to a current evaluation in which a median value was generated by generating a normal distribution consisting of the number of evaluation points on the x-axis and the number of evaluation points on the x-axis for each of the brand awareness, skill level, marketing and design after,
And evaluating the brand by big data analysis in order to provide customized information by applying the relative weight calculated in the past evaluation to the intermediate value derived from the current evaluation as a weight. . The method of claim 3,
Further comprising a head-mounted video device communicating with the application to display information received from the big data server,
The display device includes a display installed at a position facing a wearer's eye, and a display device disposed on a side of the display for checking whether the user's iris is reflected on the display, And a biometric information collecting unit for detecting the electrocardiogram and the body temperature of the wearer,
The bio-information collecting unit sequentially irradiates the wearer with a first laser having a wavelength between 1800 nm and 1950 nm and a second laser having a wavelength between 2000 nm and 2200 nm, and then receives the light transmitted through the skin, A non-invasive electrocardiogram analyzer for detecting an electrocardiogram of a wearer, and a laser thermometer for measuring the temperature of the first laser or the second laser light copied from the wearer, A system that evaluates brands with big data analysis to provide. The method of claim 3,
Further comprising a head-mounted video device communicating with the application to display information received from the big data server,
The display device includes a light emitting element that is installed at a position facing a wearer's eye and displays the information, and a display device including a light receiving element that scans the eyes of the wearer facing the user to check whether the member is stored in the big data server Lt; / RTI >
The display includes a light-receiving element circuit and a light-emitting element circuit together in a pixel,
The light emitting element circuit includes: a light emitting switching transistor having a gate signal line connected to a gate terminal and a data signal line connected to a drain terminal; A driving transistor having a gate terminal connected to the source terminal of the light emitting switching transistor and a source terminal connected to the anode terminal of the light emitting element; And a light emitting capacitor having one end connected to the source terminal of the light emitting switching transistor and the gate terminal of the driving transistor and the other end connected to the drain terminal of the driving transistor,
The light-receiving element circuit includes: a sensing transistor having a drain terminal connected to a drain terminal of the driving transistor, and a gate terminal connected to a common terminal (Vcom); A scan switching transistor having a drain terminal connected to a source terminal of the sensing transistor, a gate terminal connected to the gate signal line, and a source terminal connected to a read out data line; A scan capacitor having one end connected to the source terminal of the sensing transistor and the drain terminal of the scan switching transistor and the other end connected to the common terminal (Vcom)
The light emitting switching transistor and the driving transistor are a bottom gate type thin film transistor, and the sensing transistor is a top gate type thin film transistor,
Characterized in that the light emitting element at the edge of the display is illuminated while the display is scanning the wearer's eye and the light receiving element at the center of the display scans the eye. To evaluate the brand.

Images