KR20100046504A - Smart business model supporting apparatus and a method thereof - Google Patents

Abstract

PURPOSE: An intelligent home business model supporting apparatus and a method thereof are provided to supply an intelligent home business model to a user according to the type and technologies of a user, thereby enabling the user to commercialize a corresponding product. CONSTITUTION: An input unit(1) inputs selection information for a unit service model. A database(2) stores an intelligent home business strategy and a profit model. An inferring unit(3) derives a hierarchical system of the unit service model according to an IVM(Industry Value-chain Mechanism). The inferring unit re-combines the intelligent home business strategy with the profit model to generate a unit business model. An output unit(4) outputs the unit business model.

Description

Smart Home Model Supporting Apparatus and a Method

The present invention relates to an intelligent home business model support apparatus and method for supporting a commercialization of an industry by providing a business model of an intelligent home (or a smart home, or a digital home, or a ubiquitous home, hereinafter called an intelligent home). Based on the industry value chain mechanism, input information for commercialization, such as the type of home service model, user type, and the technology possessed by the industry, is based on the industry value chain mechanism. The present invention relates to a device providing a model and a method of deriving an intelligent home business model using the device.

In general, the intelligent home is based on the wired / wireless communication network in the home, where wired / wireless A / V devices, information appliances, PDAs, mobile phones, and home automation control devices are interconnected to provide home automation, security, entertainment, education, healthcare, home banking It means a space that provides intelligent services such as home shopping, environment and energy management regardless of device, time and place. Therefore, the intelligent home provides intelligent residential services that can provide more convenient, safer, and enjoyable and beneficial life for residents in a simple living space that provides only living spaces and sleeping spaces according to past life patterns. At present, such intelligent home service is in the midst of commercialization due to the absence of a killer application, and the related market is not matured. Therefore, in order for businesses participating in the intelligent home industry to commercialize and grow related technologies, it is necessary to analyze the industrial value mechanism of the intelligent home industry and derive a business model. However, since there is no systematic tool for developing an intelligent home business model, the present invention can be used as a useful tool for businesses that have related technologies such as intelligent home system developers, element technology developers, and house designers. Can be.

The development of a conventional intelligent home business model is a manual work of a professional consultant, which takes development time and huge costs. In addition, the intelligent home industry is a convergence industry of IT technology such as wired and wireless communication, environment, energy, bio, medical, and construction, and thus there is a limit to deriving an appropriate business model by manual.

Meanwhile, IBM's Business Modeler and Oracle's Business Process Management (BPM) tools are available on the market as tools for evaluating and analyzing the processes in the business model that are already in place to support improvements. It is not a tool to provide commercialization information, but such a tool is currently in great demand.

Therefore, an object of the present invention has been proposed to solve the above problems in the prior art, an intelligent home business model support apparatus for providing a user with a specific technology or product in the field specific information to plan the commercialization and It provides an intelligent home business model derivation method using the same.

According to a preferred embodiment of the present invention for achieving the above object, the intelligent home business model support apparatus is a lively unit service model constituting the intelligent home service and input information about the user's service or product and company information An input means for receiving selection information about the intelligent home industry, a unit service model related to the intelligent home industry, and an intelligent home according to a combination of market information, technology information and company information associated with the unit service model, and the market information, technology information and company information A hierarchical system of the unit service model selected through the selection information according to a database storing business strategies, operations, and revenue models, and an industry value-chain mechanism (IVM); The data includes market information, technical information, and company information related to the input information. Matches the base to create a unit business model by recombining intelligent home business strategy, operation, and profit model, and when a plurality of unit business models are extracted, each unit business model is combined according to a predetermined service group and added to the unit business model. Inference means for generating a combined business model by integrating or calculating information on overlapping items, and output means for presenting a unit business model or a combined business model extracted by the inference means through an output device. have.

In this case, the reasoning means is to subdivide the unit service model based on the input information based on the industrial value chain mechanism, and extracts the unit business model for the service or product associated with the component can do.

In addition, the inference means corresponds to the specific unit business model in the database when the combined business model removes the specific unit business model included in the combined business model based on the user's selection information through the input means. Information about the unit service model may be extracted and removed from the combined business model or settled.

In addition, the inference means provides information on the unification of the infrastructure configuration, the elimination of duplicated devices, and the provision of an integrated solution between different unit service models when the service group between the unit service models is different. It is also possible to combine or settle the extracted unit business model in correspondence with.

In addition, the inference means determines and provides the unnecessary unit service model to the user based on the user's financial level and product yield based on the input information with respect to the combined unit business model, and according to the user's selection Information corresponding to the service model may be removed or settled from the combined unit business model.

On the other hand, the intelligent home business model derivation method using the intelligent home business model support apparatus according to the present invention inputs the input information for the user's service or product and the company and the selection information for the pleasant unit service model constituting the intelligent home The inference means for extracting the unit business model including information on the intelligent home business strategy, operation, and profit model through the first step received through the means is based on the unit service model based on the service or product of the user. A second step of subdividing the second step; and a third step of deriving the hierarchical system of the unit service model through an industry value analysis based on the service or product by the reasoning means. Market information, technical information, and company information associated with the input information of the user in each system. Is matched with a database to provide a corresponding unit business model.

In this case, in the third step, the hierarchical system may be classified through a probability statistical method or an artificial intelligence technique.

In addition, the fifth step of the inference means to derive a modular business model, a packaged business model by combining with other business models that are related to the service group of the predetermined unit service model when the derived unit business model is a plurality It may further include.

In the fifth step, the unit service corresponding to the specific unit business model in the database when the inference means removes the specific unit business model included in the combined business model according to the user's selection The method may further include extracting information about the model to remove or settle the combined business model.

In addition, in the fifth step, if the reasoning means is different in the service group between the unit business model, the information on the unification of the infrastructure configuration, elimination of duplicated devices, providing an integrated solution between different unit service models according to the user's selection The method may further include generating a combined unit business model by combining or settlement of the extracted unit business models corresponding to different unit service models.

In addition, in the fifth step, the unnecessary unit service model is determined based on the user's financial level and product yield based on the input information with respect to the unit business model combined with the inference means, and the user's selection through the input means. The method may further include removing or calculating information corresponding to the unnecessary unit service model from the combined unit business model.

As described above, the effects of the intelligent home business model support apparatus and the intelligent home business model derivation method using the same according to the present invention are as follows.

First, the present invention can be utilized as a useful tool for the user to commercialize the product by providing an intelligent home business model suitable for the user according to the type of the user, the user holding technology (or product) and the service model.

Second, tools for evaluating and analyzing the processes of business models already in place are available in some markets, but no tools provide specific intelligent home business models themselves, but can only be provided by manual consultants from expert consultants. However, the present invention provides a customized business model through intelligent home industry value chain analysis of the user's corresponding product, thereby reducing commercialization planning time and cost, and providing objective information related to the business concept.

The present invention relates to an apparatus for providing a business model of an intelligent home and a method of operating the intelligent home service. The present invention relates to a variety of input information for commercialization, such as a type of intelligent home service model, a user type, and an industry-owned technology. It is about device and business model derivation method that provides business strategy, operation and profit model for user to commercialize intelligent home service model based on mechanism. Hereinafter, the details of the present invention will be described with reference to the accompanying drawings.

1 is a block diagram of an intelligent home business model support apparatus according to the present invention. An input means 1 through which a user selects and inputs a specific item through a graphical user interface (GUI) screen, and various types of smart home industries. Intelligent home business strategy, operation, and profit model based on Industry Value-chain Mechanism (IMM) in conjunction with a database (2) that stores market information, technical information, and corporate information, and user input information. Inference means (3) for generating a unit business model for and the output means (4) for presenting items related to the inferred business model to the user through the output device.

Such an intelligent home business model support apparatus may be a means for providing a user with which type of technology to commercialize what type of business model to provide what type of service. Therefore, the user can use the derived business model as a tool to select and choose according to the situation, manpower size and holding capital.

2 to 4 illustrate examples of related input items input to the GUI input device of FIG. 1 and may be input in a menu-driven manner or in a hierarchical structure.

First, FIG. 2 may be classified and input into a system developer, an element technology developer, and a house designer according to a user type of an intelligent home business model supporting device.

3A to 3B illustrate a classification system on a value chain of an intelligent home industry, and a user may select and input his / her business field or a specific holding technology.

The input is divided into a large category, a middle category, and a small category, as shown, so that the user's business field can be divided and selected, so that the reasoning means can grasp exactly what the user's business field is.

Thereafter, the user who runs the business may select an intelligent home service for applying his / her business contents. That is, the user selects at least one or more individual unit service models included in the intelligent home service illustrated in FIG. 4 through the database, and the user's business content and the unit service model to which the business contents are applied in the intelligent home service are applied. Input information may be provided to the inference means through the input means.

In addition, the inference means subdivids the configuration of the unit service model selected by the user by using a value chain based IVM system of a specific intelligent home product or service based on the input information, and then refines the configuration. Among the components to which the user's business content is applied can be presented, and the most optimized configuration among the second components included in the component can be presented.

Referring to FIG. 5 in detail, if a specific unit service model (A product or A service) is layered using the IVM system, it can be subdivided into parts of ①, ① ', and ① ”. At this time, the parts can be supplied included in the business content of the user (company A).

Also, in order to construct the specific unit service model, the part of ① 'must include the part of ② which is most preferred in the database, and the part of ① ”must include the part of ③ and ③' which are the most preferred in the database. In this case, the inference means may present market information, technical information, and company information on the parts of ②, ③, and ③ ', and present a product having the highest preference for the parts of ②, ③, and ③'.

In this way, the reasoning means is the market for the companies B and C finally presented as the highest preference among the information on the parts of ②, ③ and ③ 'included in the business content of other companies as shown in FIG. Unit business model containing information on the strategy, operation, and profit model derived from the combination of A's business contents and the parts of ②, ③, and ③ 'by matching information, technical information, and company information to the database. Can be generated.

That is, the inference means presents specific information (preferences, price information, quality) about a product or service that is linked to or out of the service content of the service provider included in the business content of the service provider, and the user's business content. By constructing the optimal unit service model in conjunction with the service provider, it provides a detailed unit business model that contains information on the components that are linked to the operator's business content.

In other words, the value chain analysis of the unit service model constituting the intelligent home service can suggest the optimal condition for the commercialization of the product by a specific company having a specific technology or a specific part.

In addition, the inference means may be utilized as a search algorithm combining intelligent home business strategy, operation, and profit models in conjunction with user input information. This will be described with reference to FIGS. 6 to 7.

The user may select a plurality of unit service models from the input information, and the inference means may also provide a plurality of unit business models calculated when the business content of the operator is applied to the individual unit service model.

In this case, the inference means may provide a modular business model by combining when the unit service model belongs to the same service group on the same database.

That is, in the modular business model, when the unit service model selected on the user's business content forms the same service group, the modular business model combines or deletes the same parts that are linked to each other in the unit business model calculated in the same service group, The information on the integrated business model for the operation, profit model, and necessary technology calculated when the intelligent home service is calculated by presenting the configuration linking the operation between the selected unit service models is included.

In addition, a plurality of modular business models generated by combining the plurality of unit business models with the same service group may be generated. Accordingly, the inference means may present the packaged business model by combining the modular business model again, and the difference in the overlapped business contents or technical methods between the modular business models through the finally generated packaged business model. To overcome.

6 illustrates an example of the above-described contents, wherein the inference means is a unit business model such as a gas sensing business model, a fire extinguisher control business model, a window control business model, and an air conditioner control business model as inputs of a business content and a service model of an operator. This shows what was created.

The unit business model may be combined with the same service group by the inference means. For example, the gas sensing business model and the fire extinguisher control business model may be combined into a modular business model for disaster prevention, and the window control business model and the air conditioner control business model may be combined into a modular business model for air control.

Through such a process of combining into a modular business model, the inference means integrates the modular business model as shown by integrating the overlapping or related contents such as profit structure, operation, and necessary skills in the information of each unit business model. Can be generated. The creation of such a modular business model, for example, can solve problems such as technology processing problems such as communication configuration between a single service model and problems such as duplication cost in an intelligent home service configuration of the same service family.

In addition, the inference means may combine the modular business model having a different service group to generate a packaged business model such as disaster prevention and environment, and the above-described modular business model through the packaged business model. In addition to solving problems such as overlapping technology or cost processing in configuration, solutions such as unification of infrastructure composition among unit service models of different service groups, elimination of redundant devices, and optimization methods for providing integrated solutions can be proposed. .

In this way, the inference means may present a range in which the business content of the operator can be expanded when constructing the business model in the package form. That is, the reasoning means analyzes the business capability such as financial information and product yield included in the business content of the operator, and removes unnecessary unit service models according to the judgment of the reasoning means or the user's selection information, thereby providing more unit services than necessary. Adding models can solve the cost burden.

Through the combining process as described above, since the reasoning means have the same purpose of the unit service model belonging to the same service group, the operation generated when the linkage configuration of the unit service model belonging to the same service group configured in the intelligent home service, By providing information on the profit model and the required technology, it is possible to provide an opportunity to configure the unit service model to be linked to each other.

In addition, the inference means separately presents a unit service model that can be expanded by the user's business content in the service group including the unit service model selected by the user, as a difference in configuration between the existing unit service models composed by different operators It can provide strategic information such as addressing differences in communication methods or delays in linkage operations among unit service models belonging to the same service group, and providing opportunities to expand the scope of the user's business. have.

In addition, by presenting a modular business model that combines a plurality of unit service models of the same operator, the additional cost required to solve the additional problems as described above in the actual intelligent home service deployment due to the unit service model configuration of different operators The problem can be solved by giving the same provider the opportunity to integrate unit service models within the same service family.

On the other hand, Figure 7 shows an embodiment of the output result in accordance with the present invention, a user who is producing a communication module, such as Zigbee (Zigbee) wired and wireless home network system of the database corresponding to their business field as input information The reasoning means outputs the result of selecting the single-unit lighting management service model from the unit service model included in the intelligent home service to be applied to the house.

As shown in FIG. 7, the inference means subdivides the unit service model based on the business content of the user based on the input information, and thus the component can be processed by the user alone and is linked with other business fields. For the required components, the most preferred components may be selected and provided to the user.

In addition, the inference means may provide information on the strategy, operation, profit model and necessary technology predicted by applying the business field of the operator to the unit service model. Thus, the proposed business model allows the user to decide on the commercialization of the business model and, if necessary, take advantage of cooperation or outsourcing with related companies.

8 illustrates a method for deriving a business model of the present invention. First, a user inputs his type (system developer, element technology developer, home designer, etc.), his or her own technology or products, and a necessary service model step by step. (S2). Intelligent home product IVM-based inference engine derives hierarchical system of relevant products through industrial value analysis of input products and provides appropriate business models (S4, S6). At this time, the market information, technical information, and company information stored in the DB are used (S5). The search and reasoning method of the optimal business model can be accomplished through probabilistic statistical methods, artificial intelligence techniques, or by conventional database management techniques. In addition, the derived unit business model can be combined or extended with other relevant business models to derive a modular business model and a packaged business model. Thereafter, the user may select a provided business model, and when dissatisfied, the user may be provided with other business models by correcting and inputting user input information (S8).

1 is a block diagram of an intelligent home business model support apparatus of the present invention.

2 to 4 are diagrams for one embodiment of related input items input to the GUI input device of FIG.

5 illustrates an IVM scheme based on a value chain of a particular intelligent home product or service.

6 illustrates one embodiment of extension and combining of a unit business model in accordance with the present invention.

7 is a diagram illustrating an embodiment of an intelligent home business model support apparatus of the present invention.

8 is a view showing a business model derivation method of the present invention.

Explanation of symbols on the main parts of the drawings

1: input means

2: database

3: means of reasoning

4: output means

Claims (11)

Input means for receiving input information on a service or product and company information of a user and selection information on a preferred unit service model constituting an intelligent home service; It stores the unit service model related to the intelligent home industry, the market information, the technology information and the company information associated with the unit service model, and the intelligent home business strategy, operation and profit model according to the combination of the market information, the technology information and the company information. Database; Deriving a hierarchical system of the unit service model selected through the selection information according to an industry value-chain mechanism (IVM), and market information and technical information associated with the input information among the information of each system By reconstructing the intelligent home business strategy, operation, and profit model by matching the company information with the database, and generating a unit business model, and when a plurality of unit business models are extracted, each unit business model is combined according to a preset service group. Inference means for generating a combined business model by integrating or calculating information on an overlapping item in the unit business model; And Output means for presenting the unit business model or the combined business model extracted by the inference means through an output device; Intelligent home business model support device, characterized in that made, including. The method according to claim 1, The inference means may be configured to subdivide the unit service model based on the input information based on the industrial value chain mechanism, and extract a unit business model for a service or a product associated with the element. Home Business Model Support. The method according to claim 1, The inference means removes a specific unit business model included in the combined business model based on the user's selection information through the input means, the unit corresponding to the specific unit business model in the database. Intelligent home business model support apparatus, characterized in that to extract information about the service model to remove or settle from the combined business model. The method according to claim 1, When the service group between the unit service models is different, the inference means provides information on the unification of the infrastructure configuration, the elimination of duplicated devices, and the provision of an integrated solution between the different unit service models, and corresponds to different unit service models according to the user's selection. Intelligent home business model support device, characterized in that for combining or calculating the extracted unit business model. The method according to claim 1, The inference means determines the unnecessary unit service model based on the input information of the combined unit business model and provides the user with the unnecessary unit service model based on the input information. Intelligent home business model support apparatus, characterized in that for removing or calculating the corresponding information in the combined unit business model. A first step of receiving input information on a service or product of a user and an enterprise, and selection information on a desired unit service model constituting an intelligent home through an input means; A second step of inferring means for extracting a unit business model including information on an intelligent home business strategy, operation, and a profit model, subdividing the unit service model into components based on the user's service or product; A third step of the inference means deriving a hierarchical system of the unit service model through an industrial value analysis of the granular components based on the service or product; And A fourth step of providing a unit business model corresponding to the database by matching market information, technical information, and company information associated with the input information of the user in each system from which the inference means is derived; Intelligent home business model derivation method using an intelligent home business model support device comprising a. The method according to claim 6, In the third step, the hierarchical system is classified by a probabilistic statistical method or an artificial intelligence technique. The method according to claim 6, The derived unit business model may further include a fifth step of deriving a modular business model and a packaged business model through combining with other relevant business models according to the service group of the preset unit service model. Intelligent Home Business Model Derivation Method Using Home Business Model Supporting Device. The method according to claim 8, In the fifth step, when the combined business model to remove the specific unit business model included in the combined business model according to the user's selection, the inference means unit service corresponding to the specific unit business model in the database And extracting or removing the information about the model from the combined business model and calculating the intelligent home business model. The method according to claim 8, In the fifth step, if the service group between the unit business model is different, the reasoning means is different according to the user's selection by providing information on the unification of the infrastructure configuration, elimination of duplicated devices, providing an integrated solution between different unit service model A method of deriving an intelligent home business model using an intelligent home business model support apparatus, further comprising: generating a combined unit business model by combining or calculating the extracted unit business model corresponding to the unit service model. The method according to claim 8, In the fifth step, the inference means for the combined unit business model based on the input information determines the unnecessary unit service model based on the user's financial level, product yield, the user's selection through the input means And removing or calculating the information corresponding to the unnecessary unit service model from the combined unit business model.

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