KR102292578B1 - System and method for brokeringof energy data - Google Patents

Abstract

An energy data brokerage system of the present invention includes a data integration module for interworking data transmission terminals and IoT measuring instruments of a plurality of consumers, and storing energy data collected through the data transmission terminals; a BM intermediary module that provides energy data to developer terminals through Open API; and a revenue distribution module for distributing revenue according to the related contract information when the revenue is generated by combining the developed BM of the developer terminal and a revenue module. Accordingly, a profit structure can be shared by distributing the revenue generated by brokering the supply of energy data and acquisition of the energy data required to develop the BM through energy data analysis.

Description

SYSTEM AND METHOD FOR BROKERINGOF ENERGY DATA

The present invention relates to an energy data intermediary system and method, and in particular, through energy data analysis, the securing of energy data required to develop a business model (hereinafter collectively referred to as 'BM') and supply of energy data, It relates to an energy data brokerage system and method that can share a revenue structure by distributing the revenue generated.

Recently, overseas, through the green button system, big data is used to provide direct services to consumers. The green button system is a system that creates a value-added service by allowing consumers to check their electricity, gas, and water usage online and, if desired, share their data with a trusted third party.

Wegowise and Energy Ai are representative companies that provide services using the green button. Wegowise provides an online platform that provides detailed energy consumption information by time period and device by analyzing consumers’ energy consumption patterns and prices. We provide a service that informs the energy saving know-how of the foundation.

In addition, the Apps for Energy application development contest is being held to develop energy-related apps by receiving sample data from Green Button. The purpose of this competition is to induce the development of various apps such as energy efficiency improvement.

As such, the key elements required to receive energy data and develop a BM through energy-related data analysis can be divided into securing energy data, developing an algorithm through data analysis, and understanding the business target industry. In Korea, from the point of view of a data analyst, it is possible to understand the business target industry relatively through Research and Development (R&D), but it is very difficult to secure energy data unless it is a stakeholder in the industry.

Green Button website (https://www.energy.gov/data/green-button)

The present invention is to solve the above problems, and through energy data analysis, energy data that can be shared in a profit structure can be shared by securing energy data required to develop a BM and distributing revenue generated by intermediating the supply of energy data It is to provide a data brokerage system and method.

In order to achieve the above object, the energy data brokerage system according to an embodiment of the present invention is a data integration module for interworking the IoT measuring device and the data transmission terminal of the consumer, and storing the energy data collected through the data transmission terminal ; a BM intermediary module that provides the energy data to a developer terminal through an Open API; And, when revenue is generated by combining the developed BM and monetization module of the developer terminal, a revenue distribution module for distributing revenue according to the related contract information; may include.

In addition, a publicity module that promotes energy data distribution for energy BM revenue distribution according to data provision and a promotion module for promoting energy data provision for BM development, wherein the data integration module includes: Collect the energy data by interworking the data transmission terminal to the consumer, and the BM intermediary module may provide the energy data by interworking with the developer terminal of the BM developer recruited through the promotion.

In addition, the data integration module, the data transmission terminal integrated data collection unit for collecting the energy data; a data classification unit for classifying the collected energy data by data type; a data management unit that maps data classified according to the data type with a type classification code, stores it as big data, and manages the data provider; and a data supply unit for supplying the energy data to the BM intermediary module.

Preferably, the integrated data collection unit may collect public data from a public data portal.

The data integration module may further include a data combining unit that combines the energy data and the public data, but groups and manages heterogeneous data according to correlation information.

Preferably, the data supply unit may supply the combined data to the BM intermediary module through the data combining unit.

In addition, the revenue distribution module, the data provider management unit for identifying the data provider utilized in the BM development at the time of commercialization of the monetization module; a related party contract management unit for adding the identified data provider to related party contract information; Revenue management unit for storing and managing the revenue information generated according to the commercial implementation of the monetization module for each BM; and a distribution management unit that distributes the revenue according to the related party contract information.

The energy transmission terminal according to another embodiment of the present invention links energy data with a developer terminal that develops an energy industry BM through Open API, and then combines the developed BM with a monetization module to generate revenue, related contract information It is possible to provide the energy data to the energy data brokerage system that distributes the revenue according to the

In addition, the data transmission terminal, a data collection module for collecting the energy data in conjunction with the IoT measuring instrument of a plurality of consumers; and a data correction module for correcting the collected energy data.

In addition, the data transmission terminal may further include a personal information security module for de-identifying personal information on the collected energy data.

Energy data brokerage method according to another embodiment of the present invention includes the steps of: interworking the IoT measuring device and the data transmission terminal of the consumer through a data integration module, and storing the energy data collected through the data transmission terminal; providing the energy data to a developer terminal through an Open API through a BM intermediary module; And, when the revenue is generated by combining the developed BM and the monetization module of the developer terminal through the revenue distribution module, distributing the revenue according to the related contract information; may include.

In addition, prior to the step of storing the collected energy data, the step of promoting the energy BM profit distribution according to the data provision through the publicity module and performing the promotion of the energy data provision for BM development; may further include have.

Preferably, in the storing of the collected energy data, the energy data may be collected by linking the data transmission terminal to the consumer of the data provider recruited through the promotion.

Preferably, the step of providing the energy data to the developer terminal through the Open API may provide the energy data in conjunction with the developer terminal of the BM developer recruited through the promotion.

In addition, the step of storing the collected energy data may include: collecting the energy data with the data transmission terminal through an integrated data collection unit; classifying the collected energy data by data type through a data classification unit; mapping the data classified according to the data type with a type classification code through a data management unit and storing the data as big data; and supplying the energy data to the BM intermediary module through a data supply unit.

In addition, the step of storing the collected energy data may include: collecting public data from a public data portal through the integrated data collection unit; combining the energy data and the public data through a data combining unit; grouping and managing the heterogeneous data according to correlation information through the data combining unit; And, it may further include the step of supplying the combined data to the BM mediation module through the data supply unit.

In addition, the step of distributing revenue according to the relevant contract information may include: identifying a data provider utilized in the BM development at the time of commercialization of the monetization module through a data provider management unit; adding a data provider identified through a related party contract management unit to the related party contract information; Storing and managing the revenue information generated according to the commercial implementation of the monetization module through the revenue management unit for each BM; and distributing the revenue according to the related party contract information through the distribution management unit.

The energy data intermediary system and method according to the present invention as described above can share a revenue structure by distributing the revenue generated by intermediating the supply of energy data and securing energy data required to develop BM through energy data analysis. .

1 is a configuration diagram schematically showing an energy BM revenue distribution system according to an embodiment of the present invention.
2 is a block diagram showing the configuration of a data transmission terminal according to an embodiment of the present invention.
3 is a block diagram showing the configuration of an energy data mediation system according to an embodiment of the present invention.
4 is a flowchart illustrating an energy data mediation method according to an embodiment of the present invention.
5 is a flowchart illustrating a method for collecting energy data according to an embodiment of the present invention.
6 is a flowchart for explaining a BM mediation method according to an embodiment of the present invention.
7 is a flowchart for explaining a revenue distribution method according to an embodiment of the present invention.
8 is a flowchart illustrating a method for combining heterogeneous data according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings in order to clarify the technical spirit of the present invention. In describing the present invention, if it is determined that a detailed description of a related well-known function or component may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Elements having substantially the same functional configuration in the drawings are given the same reference numbers and reference numerals as much as possible even though they are shown in different drawings. For convenience of explanation, if necessary, the device and method will be described together.

1 is a configuration diagram schematically showing an energy BM revenue distribution system according to an embodiment of the present invention.

Referring to FIG. 1 , the energy BM revenue distribution system 1000 is interlocked with a plurality of consumers 11 , 13 , 15 , 17 and 19 , and energy data brokerage for storing energy data collected through the data transmission terminal 20 . It may include a system 100 and a developer terminal 50 that receives energy data.

The plurality of consumers (11, 13, 15, 17, 19) is a home consumer (11), a building / factory consumer (13), an electric vehicle (15), a renewable power generation (17), an energy storage system (Energy Storage System, hereinafter) Commonly referred to as 'ESS', 19) may include tangible consumers. Here, the home consumer 11 may include members living in single-family houses and multi-family houses. The plurality of consumers 11 , 13 , 15 , 17 and 19 may provide energy data generated from Internet of Things (IoT) instruments such as gas meters, water meters, and electricity meters installed in advance to the data transmission terminal 20 . have.

The plurality of consumers 11 , 13 , 15 , 17 and 19 may be consumers of the data sharer. The data sharer may participate in the energy data sharing recruitment through the promotion of the energy data intermediary system 100 . By participating as an energy data sharer, the data transmission terminal 20 may be linked with an IoT measuring device. Accordingly, the data transmission terminal 20 may collect energy data provided by the IoT measuring device.

Since the data transmission terminal 20 has different properties of energy data according to the type of data provider, the energy data collected from the IoT instrument may be corrected. The data transmission terminal 20 may support the BM developer to minimize the processing operation of additional energy data. This data transmission terminal 20 may be implemented as an edge system provided by the energy data brokerage system 100 .

The data transmission terminal 20 may provide energy data to the energy data intermediary system 100 . That is, the data provider is a data transmission terminal that voluntarily transmits energy data to a home consumer (11), a building/factory consumer (13), an electric vehicle (15) owner, a renewable power generation (17) operator or operator, an ESS (19) operator, etc. It can be provided to the energy data brokerage system 100 through (20). At this time, you can obtain consent for personal information or energy ownership. Energy data is provided to the energy BM through the energy data brokerage system 100, and when revenue is generated according to the contribution of the data provider, a profit distribution according to the energy data provision may be received.

The developer terminal 50 may develop a core algorithm, artificial intelligence model, and program of the energy industry BM based on data analysis through energy data supply. The service can be performed through the energy data brokerage system 100 without directly performing the service for the developed product in the developer terminal 50 .

The developer terminal 50 may supply a core module of BM to the energy data brokerage system 100 and help develop a monetization service (hereinafter collectively referred to as a 'monetization module') through collaboration. At this time, if you generate revenue through the energy data brokerage system 100, you can receive a revenue distribution according to the contract. A BM developer may be a developer or developer who has the technology but cannot directly obtain data from the energy industry.

The developer terminal 50 may be implemented as a terminal equipped with a computing capability by mounting a microprocessor, such as a desktop computer, a notebook computer, a workstation, a tablet PC, a web pad, a smart phone, and the like.

Energy data brokerage system 100 intermediaries data providers and data analysis-based BM developers to directly operate data collection and storage, supply, revenue distribution management, contract management, and BM-based monetization modules to maximize profits through the energy industry market to realize

The energy data brokerage system 100 collects energy data through the data transmission terminal 20 in order for the broker to operate the energy BM revenue distribution system, and distributes revenue according to future BM development through data type classification and data provider management It is possible to generate information that is the basis of the city.

In addition, the energy data brokerage system 100 performs publicity and guidance on the revenue distribution system, and publicity and guidance on the provision of collected energy data for developers online, and for developers in the form of open APIs based on big data. Energy data supply and developed BM-based monetization module can be operated.

That is, the energy data intermediary system 100 links the energy data through the developer terminal 50 and the Open API, and then combines the developed BM of the developer terminal 50 and the monetization module 140 to generate revenue, Profits can be distributed according to relevant contract information

Accordingly, the energy data brokerage system 100 may perform revenue management and settlement management. And the energy data brokerage system 100 can support developers to help in analysis and BM development by collecting public data and combining it with energy data.

Energy data brokerage system 100, the revenue generated through BM, etc., the data provider and BM developer, and the intermediary related to the BM may be settled according to the revenue sharing contract, and the revenue may be shared.

The energy data brokerage system 100 may be implemented as a cloud server, and may mediate energy data between the data transmission terminal 20 and the developer terminal 50 connected through a network.

The energy BM revenue distribution system 1000 presents a win-win model for all data providers, BM developers, and intermediaries through this ecosystem configuration, so data in the energy industry where data distribution is relatively closed compared to other industries You can create a new business base.

2 is a block diagram showing the configuration of a data transmission terminal according to an embodiment of the present invention.

Referring to FIGS. 1 and 2 , the data transmission terminal 20 interlocks energy data through the Open API with the developer terminal 50 that develops the energy industry BM, and then combines the developed BM with the monetization module to make a profit When this occurs, it is possible to provide energy data to the energy data brokerage system 100 that distributes revenue according to the relevant contract information.

The data transmission terminal 20 may include a data collection module 21 and a data correction module 23 . Furthermore, the data transmission terminals 20_1 , 20_3 , and 20_5 may further include a personal information security module 25 .

The data collection module 21 may collect energy data by interworking with an IoT measuring device.

The data correction module 23 may correct the collected energy data. The data correction module 23 may include correction for standardizing energy data provided from a plurality of consumers 11 , 13 , 15 , 17 , 19 to data defined by the energy data brokerage system 100 . The data correction module 23 may correct energy data including identification information for identifying data providers. The data correction module 23 may generate API data by processing energy data according to data processing rules. Data processing rules may be defined by an intermediary or developer of the energy data mediation system 100 . Meanwhile, in data processing, in addition to changing an item in one data, a new type of data may be created by changing several items at the same time. It is also possible to create new types of data by applying different data processing rules to API data that has already been processed once.

Personal information may be included in power consumption measurement information of the home consumer 11 , power consumption measurement information of the building/factory consumer 13 , and charge/discharge measurement information of the electric vehicle 15 . Accordingly, it is possible to prevent personal information from being transmitted by de-identifying personal information through the personal information security module 25 .

The personal information security module 25 may de-identify personal information for the collected measurement data. Here, de-identification processing refers to a process of converting part or all of personal information so that a specific individual cannot be identified.

Factors that identify an individual include an identifier that can directly identify a specific individual by itself, such as name, address, social security number, date of birth, phone number, email address, medical record number, etc., age, gender, region of residence, nationality, etc. , a quasi-identifier that can be identified by combining with other information such as a homepage address (URL).

De-identification processing methods include pseudonymization that replaces other values among personally identifiable factors, aggregate processing that shows only the aggregate value of data but does not show individual data, deletion of data that erases some identification factors, hides exact data values and converts data into category values. There are categorizations that transform, and data masking methods that make important identifiers invisible.

The International Organization for Standardization ISO/IEC 20889 standard defines the 'de-identification process' as 'the process of removing the link between the data subject and the set of identification attributes', and the 'de-identification technique' refers to the 'degree of association of information with the personal data subject'. It is defined as a method of transforming a data set for the purpose of reducing

3 is a block diagram showing the configuration of an energy data mediation system according to an embodiment of the present invention.

Referring to FIG. 3 , the energy data brokerage system 100 includes a public relations module 110 , a data integration module 120 , a BM brokerage module 130 , a monetization module 140 , a revenue distribution module 150 , and a database. (Database, hereinafter referred to as 'DB', 160) may be included.

The publicity module 110 may perform a promotion for the distribution of energy BM revenue according to the provision of energy data and a promotion for the provision of energy data for BM development. The promotion module 110 may perform online promotion for energy BM revenue distribution. Here, the online promotion may provide content through a social network service (SNS), a blog, a homepage, a search engine, and the like. Through this publicity, interest in generating revenue through data provision can be generated, and data providers can be recruited.

The promotion module 110 may promote the provision of energy data for BM development. The publicity module 110 may promote by providing data specifications and sample data for developers online. An example of online promotion is posting on a blog or homepage. Through this publicity, interest in BM development through securing energy data can be raised and developers can be recruited. The publicity module 110 may provide data specification and sampling data to the developer terminal 50 . Here, the data specification may refer to information on attributes occupying a large proportion among a plurality of data constituting big data. Also, the sampling data may refer to data occupying a certain portion of actual big data. The developer can match the provided data specification with the sampling data, compare the attribute information included in the metadata with the attribute of the sampling data, verify reliability, and determine whether it is suitable for BM development.

The data integration module 120 may link the IoT measuring device of the data provider and the data transmission terminal 20 , collect energy data through the data transmission terminal 20 , and store the energy data in the DB 160 .

In addition, the data integration module 120 may collect energy data by linking the data transmission terminal 20 to the consumers of data providers recruited through publicity.

The data integration module 120 may include an integrated data collection unit 121 , a data classification unit 123 , a data management unit 125 , a data combining unit 127 , and a data supply unit 129 .

The integrated data collection unit 121 may collect energy data from the data transmission terminal 20 . The integrated data collection unit 121 may collectively collect energy data in real time. The integrated data collection unit 121 may collect public data from a public data portal. Here, the public data may include weather, environment, traffic, city statistical data, and the like.

The data classification unit 123 may classify the collected energy data by data type. The data classification unit 123 may store energy data in the DB 160 through the data management unit 125 in consideration of the characteristics of big data. Here, the data type may be divided into energy data generated from electricity, gas, and water meters, and detailed types of energy consuming device information, member information, and public data.

The data management unit 125 may map data classified according to data types with type classification codes, store them as big data, and manage data providers. Here, the type classification code may be a code according to the classification of the type of consumer, the type of distributed power supply, the electric vehicle, and the like. The data management unit 125 may manage registration/modification/history/performance of energy data for each identified data provider.

The data combining unit 127 combines energy data and public data, but may manage heterogeneous data by grouping it according to correlation information. In other words, data combination refers to the operation of tying heterogeneous data so that a correlation is established. Here, the correlation relationship may mean correlation information based on common data items such as the same time and place.

The data combining unit 127 may provide grouped data by combining public data and energy data (power, water, gas, and heating) to the data supply unit 129 .

The data supply unit 129 may supply the energy data stored in the DB 160 to the BM mediation module 130 . In addition, the data combined through the data combining unit 127 may be supplied to the BM mediation module 130 .

The BM intermediary module 130 may link energy data with the developer terminal 50 through the Open API.

The BM intermediary module 130 may provide energy data by interworking with the developer terminal 50 of BM developers recruited through publicity. That is, an Open API-based data inquiry link function may be provided through the BM intermediary module 130 to provide energy data stored as big data to the developer.

BM intermediary module 130 may link public data (weather, environment, traffic, city statistical data) and energy data (power, water, gas, heating) combined data to the developer terminal 50 . In order to link the energy data provided through the Open API, the BM intermediary module 130 may set the URL, the provision method and authentication information of the Open API system. In addition, for the case of linking energy data based on a data file, a list mapped with type classification codes of customers, instruments, locations, facilities, devices, etc. of consumers may be set in the BM mediation module 130 .

The monetization module 140 may combine the developed BM of the developer terminal 50 and the monetization module 140 . The monetization module 140 may generate revenue by combining the developed energy BM program, algorithm, artificial intelligence model, and the like. Accordingly, by implementing the commercialization of the monetization module 140, the revenue information generated in the monetization module 140 can be managed and stored for each BM.

When revenue is generated by combining the developed BM of the developer terminal 50 and the monetization module 140, the revenue distribution module 150 may distribute the revenue according to the related contract information. If we define profit distribution, distribution is the pre-allocation of resources on the premise of certain actions, and distribution is the fair distribution of income or results for the purpose of final consumption.

The revenue distribution module 150 may include a data provider management unit 151 , a related contract management unit 153 , a revenue management unit 155 , and a distribution management unit 157 .

The data provider management unit 151 may identify a data provider utilized for BM development at the commercialization time of the monetization module 140 . Energy data used for each BM may be different. The data provider management unit 151 may manage the data providers for each BM by identifying the data providers of energy data utilized in the BM associated with the monetization module 140 .

When the BM development is completed and linked to the monetization module 140 , the related contract management unit 153 may establish a related contract between the developer and the intermediary, and generate a list including related contract information. Also, the related party contract management unit 153 may add the identified data provider to the related party contract information.

The revenue management unit 155 may store and manage revenue information generated according to the commercialization of the monetization module for each BM.

The distribution management unit 157 may distribute the revenue according to the relevant contract information. That is, the distribution management unit 157 may distribute the revenue in units of a preset period according to the settlement rules according to the contract information while the revenue is generated. Here, the preset period may be monthly settlement as an example. Thereafter, the distribution management unit 157 may notify the person concerned about the distribution of revenue and pay the profit.

The DB 160 may store the integratedly collected energy data as big data. Also, the DB 160 may store public data. The DB 160 may store data in which heterogeneous data is combined as big data.

The DB 160 may be implemented in NoSQL, RDB, HDFS, or the like.

NoSQL (Not Only SQL) provides faster read/write functions than general RDB, and horizontal scaling and load balancing are possible, but ACID (Atomicity_Atomicity, Consistency_Consistency, Isolation_Isolation_Persistence) guarantee is not available. It can be used frequently due to the characteristics of a storage medium that cannot be stored, or it can be used to store data requiring short-term storage.

RDB (Relation Database) is suitable for storing structured data, and ACID (Atomicity_Atomicity, Consistency_Consistency, Isolation_Isolation_Durability_Persistence) is guaranteed, but it cannot be provided to users due to the characteristics of the storage medium that is difficult to expand horizontally. It can be used to store data (eg, real-time processing results, batch processing results, management logs of the management system, etc.).

HDFS (Hadoop Distributed File System) is a file-based storage that can be expanded horizontally, can process large-capacity data based on HDD, and because of the characteristics of a storage medium suitable for batch work, data that needs to be stored for a long time, raw It can be used to store most data such as data, pre-processing data, and real-time processing results.

The control module 170 may control the overall operation in the energy data brokerage system 100 .

Accordingly, the energy data brokerage system 100 can share the revenue structure by distributing the revenue generated by intermediarying the supply of energy data and securing the energy data required to develop the BM through energy data analysis.

4 is a flowchart illustrating an energy data mediation method according to an embodiment of the present invention.

Referring to FIGS. 3 and 4 , the energy data intermediary system 100 interworks the IoT measuring device of the consumer and the data transmission terminal 20 through the data integration module 120 , and the data collected through the data transmission terminal 20 Energy data may be stored (S210).

Thereafter, energy data may be provided to the developer terminal 50 through the Open API through the BM intermediary module 130 (S220).

And, when the revenue is generated by combining the developed BM of the developer terminal 50 and the monetization module 140 , the revenue may be distributed according to the contract information related to the related party through the revenue distribution module 150 ( S230 ).

Accordingly, the energy data mediation method can share the revenue structure by distributing the revenue generated by securing energy data required to develop BM through energy data analysis and intermediarying the supply of energy data.

5 is a flowchart illustrating a method for collecting energy data according to an embodiment of the present invention.

Referring to FIGS. 3 and 5 , promotion of energy BM profit distribution according to the provision of energy data and the provision of energy data for BM development may be performed through the promotion module 110 ( S310 ). The promotion module 120 may perform online promotion for energy BM revenue distribution. Here, the online promotion may provide content through a social network service (SNS), a blog, a homepage, a search engine, and the like. Through this publicity, interest in generating revenue through data provision can be generated, and data providers can be recruited.

Thereafter, data providers may be recruited through publicity, and the data transmission terminal 20 may be linked to the recruited consumers of the data providers ( S320 ). The data transmission terminal 20 may be installed at the consumer of the data provider. When there is personal information, the data transmission terminal 20 including the personal information security module 25 may be installed. The data transmission terminal 20 may collect and correct energy data from the IoT instrument.

Energy data may be collected from the data transmission terminal 20 through the integrated data collection unit 121 ( S330 ).

The energy data collected through the data classification unit 123 may be classified by data type (S340). A data provider may be identified through the data classification unit 123 . Accordingly, registration/modification/history/performance of energy data for each data provider identified through the data management unit 125 may be managed.

In addition, the data classified according to the data type may be mapped with the type classification code through the data management unit 125 and stored as big data. Here, the type classification code may be a code according to the classification of the type of consumer, the type of distributed power supply, the electric vehicle, and the like. In addition, energy data may be supplied to the BM mediation module 130 through the data supply unit 129 (S350).

That is, an Open API-based data inquiry link function may be provided through the BM intermediary module 130 to provide energy data stored as big data to the developer.

6 is a flowchart for explaining a BM mediation method according to an embodiment of the present invention.

Referring to FIGS. 3 and 6 , a promotion for providing energy data for BM development may be performed through the promotion module 110 ( S410 ). The publicity module 110 may promote by providing data specifications and sample data for developers online. An example of online promotion is posting on a blog or homepage. Through this publicity, interest in BM development through securing energy data can be raised and developers can be recruited (S420).

The BM intermediary module 130 may develop a BM by providing energy data in conjunction with the developer terminal 50 of the BM developer recruited through publicity (S430). That is, the BM intermediary module 130 may be linked to supply energy data required for BM development by granting an Open API access right. Accordingly, the developer can start BM development by applying the supplied energy data to data analysis / artificial intelligence model application, etc., and can complete the development with the energy BM algorithm, artificial intelligence model and program.

Thereafter, the developed BM of the developer terminal 50 and the monetization module 140 may be combined (S440). The monetization module 140 may generate revenue by combining the developed energy BM program, algorithm, artificial intelligence model, and the like. This commercializes the monetization module 140 to manage and store the revenue information generated in the monetization module 140 for each BM.

Thereafter, contract information between the developer and the intermediary may be stored and managed through the related contract management unit 153 ( S450 ).

7 is a flowchart for explaining a revenue distribution method according to an embodiment of the present invention.

Referring to FIGS. 3 and 7 , the data provider management unit 151 may identify a data provider utilized for BM development at the commercialization time of the monetization module 140 ( S510 ).

The related party contract management unit 153 may add the identified data provider to the related party contract information ( S520 ). The revenue management unit 155 may store and manage revenue information generated according to the commercialization of the monetization module for each BM.

The distribution management unit 157 may distribute the revenue according to the relevant contract information. That is, the distribution management unit 157 may distribute the revenue in units of a preset period according to the settlement rules according to the contract information while the revenue is generated. Here, the preset period may be monthly settlement as an example.

Thereafter, it is possible to notify the person concerned about the distribution of revenue and pay the profit (S540).

When the contract information is revised in the future, it can be reflected in the contract information.

8 is a flowchart illustrating a method for combining heterogeneous data according to an embodiment of the present invention.

3 and 8 may combine energy data and public data according to a developer's request (S610). Public data may refer to environmental information such as weather and fine dust, and solar power generation information.

Heterogeneous data may be grouped according to correlation information (S620). Combination of data refers to the operation of tying heterogeneous data so that a correlation is established. Here, the correlation relationship may mean correlation information based on common data items such as the same time and place.

It is possible to supply the combined data through the BM mediation module 130 (S630).

After that, the developer can develop the BM by applying the supplied combined data to data analysis, artificial intelligence model, program, etc.

So far, the present invention has been described in detail with reference to the preferred embodiments shown in the drawings. These embodiments are not intended to limit the invention, but merely to illustrate, and should be considered in an illustrative rather than a limiting point of view. The true technical protection scope of the present invention should be determined by the technical spirit of the appended claims rather than the above description. Although specific terms are used in this specification, they are only used for the purpose of describing the concept of the present invention and are not used to limit the meaning or scope of the present invention described in the claims. Each step of the present invention does not necessarily have to be performed in the order described, and may be performed in parallel, selectively, or individually. Those of ordinary skill in the art to which the present invention pertains will understand that various modifications and equivalent other embodiments are possible without departing from the essential technical spirit of the present invention as claimed in the claims. It is to be understood that equivalents include both currently known equivalents as well as equivalents developed in the future, ie, all elements invented to perform the same function, regardless of structure.

11, 13, 15, 17, 19: a plurality of consumers 20: data transmission terminal
50: developer terminal 100: energy data brokerage system
110: public relations module 120: data integration module
121: integrated data collection unit 123: data classification unit
125: data management unit 127: data combining unit
129: data supply 130: BM mediation module
140: monetization module 150: revenue distribution module
151: data provider management unit 153: stakeholder contract management unit
155: revenue management unit 157: distribution management unit
160: DB 170: control module

Claims (17)

a data integration module for interworking IoT measuring instruments and data transmission terminals of a plurality of consumers, and for storing energy data collected through the data transmission terminals;
a BM intermediary module that provides the energy data to a developer terminal through an Open API;
When the revenue is generated by combining the developed BM and the monetization module of the developer terminal, a revenue distribution module for distributing the revenue according to the relevant contract information; and,
Including; and a public relations module that promotes energy data distribution for energy BM revenue distribution according to data provision and energy data provision for BM development.
The data integration module,
an integrated data collection unit that collects the energy data from the data transmission terminal, and collects the energy data by linking the data transmission terminal to the consumer of the data provider collected through the promotion;
a data classification unit that classifies the collected energy data by data type and identifies a data provider;
a data management unit that maps data classified according to the data type with a type classification code, stores it as big data, and manages the identified data provider; and,
Includes; a data supply unit for supplying the energy data to the BM mediation module;
Energy data brokerage system, characterized in that the publicity module provides data specification and sampling data. According to claim 1,
The BM mediation module is an energy data mediation system, characterized in that it provides the energy data in conjunction with the developer terminal of the BM developer recruited through the promotion. delete According to claim 1,
The energy data brokerage system, characterized in that the integrated data collection unit collects public data from a public data portal. 5. The method of claim 4,
The data integration module,
Energy data brokerage system, characterized in that it further comprises a data combining unit that combines the energy data and the public data, and manages by grouping heterogeneous data according to correlation information. 6. The method of claim 5,
The data supply unit energy data intermediary system, characterized in that for supplying the combined data to the BM intermediary module through the data combining unit. According to claim 1,
The revenue distribution module is
a data provider management unit that identifies the data provider utilized in the BM development at the commercialization time of the monetization module;
a related party contract management unit for adding the identified data provider to related party contract information;
Revenue management unit for storing and managing the revenue information generated according to the commercial implementation of the monetization module for each BM; and,
Energy data brokerage system comprising a; distribution management unit for distributing the revenue according to the contract information related to the related party. delete delete delete performing a promotion for energy data distribution for energy data provision through the publicity module and for energy data provision for BM development;
Interworking the IoT measuring device and the data transmission terminal of the consumer through the data integration module, and storing the energy data collected through the data transmission terminal;
providing the energy data to a developer terminal through an Open API through a BM intermediary module; and,
When revenue is generated by combining the developed BM of the developer terminal and the monetization module through the revenue distribution module, distributing the revenue according to the related contract information; includes,
Storing the collected energy data includes:
Collecting the energy data by the data transmission terminal through the integrated data collection unit, collecting the energy data by linking the data transmission terminal to the consumer of the data provider recruited through the promotion;
classifying the collected energy data by data type through a data classification unit, and identifying the data provider;
mapping the data classified according to the data type with a type classification code through a data management unit, storing the data as big data, and managing the identified data provider; and,
Including; supplying the energy data to the BM mediation module through a data supply unit,
Energy data brokerage method, characterized in that the publicity module provides data specification and sampling data. delete delete 12. The method of claim 11,
The step of providing the energy data to the developer terminal through the Open API,
Energy data brokerage method, characterized in that for providing the energy data in conjunction with the developer terminal of the BM developer recruited through the promotion. delete 12. The method of claim 11,
Storing the collected energy data comprises:
collecting public data from a public data portal through the integrated data collection unit;
combining the energy data and the public data through a data combining unit;
grouping and managing heterogeneous data according to correlation information through the data combining unit; and,
Energy data mediation method, characterized in that it further comprises the step of supplying the combined data to the BM mediation module through the data supply unit. 12. The method of claim 11,
The step of distributing revenue according to the related contract information is,
Identifying the data provider utilized in the BM development at the time of commercialization of the monetization module through the data provider management unit;
adding a data provider identified through a related party contract management unit to the related party contract information;
Storing and managing the revenue information generated according to the commercial implementation of the monetization module through the revenue management unit for each BM; and,
Energy data brokerage method comprising a; distributing the revenue according to the contract information of the parties through the distribution management unit.

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