WO2020032502A1

WO2020032502A1 - Method for platform for energy analysis and solution suggestion on basis of collection of big data on energy

Info

Publication number: WO2020032502A1
Application number: PCT/KR2019/009730
Authority: WO
Inventors: 허길수
Original assignee: 허길수
Priority date: 2018-08-08
Filing date: 2019-08-05
Publication date: 2020-02-13
Also published as: KR20200019284A; KR102115827B1

Abstract

A method for a platform for energy analysis and solution suggestion on the basis of collection of big data on energy is provided. The method for a platform for energy analysis and solution suggestion on the basis of collection of big data on energy comprises the steps of: collecting building-specific architectural data including at least building structures according to construction materials, building ages, building categories according to residential types, and building areas, building-specific construction environment data including at least building characteristics according to design specifications and the terrain around each building, and building-specific energy consumption amounts; matching the architectural data, the construction environment data, and the energy consumption amounts with a corresponding building, the location information of which has been input; requesting energy consumption amounts selected according to at least one of multiple pieces of information falling into the architectural data; and providing the building-specifically displayed energy consumption amounts overlapping with a location information-based map so as to be differentiated according to usage amounts.

Description

Method for energy analysis and solution presentation platform based on energy big data collection

The present invention relates to a method for an energy analysis and solution presentation platform based on energy big data collection. More specifically, the present invention relates to data on a region's energy use, including structure, age, type, area, shape, and surrounding topography. By presenting in conjunction, energy analysis and solution presentation platform that provides systematic and integrated use of energy use and matches and presents solutions such as energy saving policies and business plans applicable to the area to which the building belongs according to the current situation. It relates to a method for.

The data based on establishing and implementing the regional energy policy is the energy consumption such as the amount of electricity and gas consumed by the buildings in each region.

In the past, energy consumption savings were limited to personal problems residing in individual buildings, burdening residents with the savings. In addition, even if energy saving devices are applied to individual buildings, the energy saving efficiency of the entire area to which individual buildings belong is insignificant.

Therefore, effective energy saving is maximized only when applied to a wide range of areas, not limited to individual buildings. Recently, as a social issue, urban renewal new deal policies are established. To ensure that integrated energy policies, such as the Urban Renewal New Deal, achieve the best effect, local residents, energy policy planners and executives, and private energy managers should actively participate in the proposal.

On the other hand, the building is not only divided into residential or commercial use for a variety of uses, but even the building of the same use, there are a variety of building configurations, such as building structure, construction, residential type, building area according to the building material. In addition, the architectural design, which is a detailed design of the building, and the surrounding topography around the building may be different from building to building.

On the other hand, the conventional energy consumption is merely a degree of counting the energy consumption of each building. This analysis can be insignificant if you simply compare the energy consumption of each building without considering the purpose of the building, its configuration, detailed design, and surrounding topography.

Moreover, when selecting energy-vulnerable areas based on simple comparisons or selecting solutions such as policies or business plans applicable to the areas, analysis and solutions that do not correspond to the actual situation of the building such as the purpose of the building and the composition of the building are provided. Problems may arise that may be derived.

In addition, energy saving policies in vulnerable areas are not shared due to the closed administration of each area, so energy saving policies that have excellent effects in other areas are not available. Not introduced to at all. As a result, there is a limit to more effective implementation of savings policies in vulnerable areas.

The technical problem to be achieved by the present invention is to provide a systematic and integrated status of energy use by presenting the current state of energy use in conjunction with data such as structure, construction, type, area, shape, topography of the building, etc. In this regard, it provides a method for energy analysis and solution presentation platform based on energy big data collection that can match and present solutions such as energy saving policy and business plan applicable to the area where the building belongs.

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

According to an aspect of the present invention for achieving the above technical problem, the method for the energy analysis and solution presentation platform based on the energy big data collection is the building structure according to the building material, building age, building type according to the residence type, building area Collecting building data for each building including at least each building data, building characteristics according to detailed design matters, drying environment data for each building including at least the surrounding topography around the building, and energy consumption for each building; Matching building data, the building environment data, and the energy consumption with a corresponding building in which location information is written; requesting a selected energy consumption amount according to at least one of a plurality of pieces of information belonging to the building data; Location to distinguish the energy consumption displayed by the building by usage And providing an overlapping map based on the information.

In another embodiment, the energy consumption is at least one of the electricity consumption and the gas consumption, the energy consumption is a cumulative consumption of a predetermined period per unit area, and the location information is an open API based on Geographic Information Systerm (GIS) information. Open Application Program Interface).

In another embodiment, the building characteristic may include a direction of the building, an inclination direction and an inclination angle of the building site, and the surrounding terrain may include an inclination direction around the building, an inclination angle, and a distance from an adjacent building. .

In another embodiment, after the overlapping of the map, the building data, the building environment data, energy consumption, along with social environmental data including the income, class, and type of occupants of the building, area energy savings. Collecting the solution information for the energy saving data according to the region-specific solution, requesting a solution for reducing energy consumption for the user's building according to the input or non-input of the saving condition, and building the user's building. Matching and analyzing the solution information and the actual energy saving data according to the building data, the building environment data, and the social environment data, and selecting at least one solution applicable to the building of the user; For the solution with the selected solution Providing detailed reduction measures, and requesting the server of the relevant institution in the region where the user's building belongs to review whether the actual solution can be implemented for the solution selected by the user among the above-mentioned solutions, or correcting the detailed reduction measures of the selected solution. Proposing to the server of the corresponding institution may include.

In another embodiment, after the overlapping of the map, if there are a plurality of independent users in the building of the user, collecting the energy consumption for each space of the independent user, and analyzes the energy consumption for each space By analyzing the weak space of the energy consumption of the space of the building, and estimating the cause of leakage of the weak space based on the usage pattern of the independent user, building data and construction environment data.

In another embodiment, requesting an analysis of a weak area of consumption according to at least one selected from a plurality of pieces of information belonging to the building data and the building environment data, and analyzing the consumption amount of each building based on the selected information. It may include presenting a vulnerable area.

In addition, after the step of presenting the vulnerable area, along with the building data, the construction environment data, energy consumption, social environmental data including the income, class, residential form of the building residents, solution information for energy saving by region, Collecting actual energy saving data according to the regional solution, requesting a solution for reducing energy consumption for the vulnerable area according to input or non-entry of the saving condition, and building data for the requested vulnerable area. Matching and analyzing the solution information and the actual energy saving data according to the drying environment data and the social environment data, selecting at least one solution applicable to the vulnerable area, together with the selected solution Provide detailed saving measures for the solution Requesting the server of the relevant institution in the vulnerable region to review whether the actual step is possible for the selected step and the selected solution among the above-mentioned solutions, or propose a corrective solution to the server of the corresponding institution for the detailed reduction method of the selected solution. It may include the step.

In this case, the region-specific solution information may include a solution promoted by a corresponding organization to which the user building and the vulnerable area belong, and a solution promoted by another organization to which the user building and the vulnerable area do not belong.

In addition, the detailed reduction plan for the solution is information including the total amount required when executing the solution, the self-pay amount of the building owner, the estimated time when the energy savings and the self-pay amount is returned after the execution of the solution Can be.

Specific details of other embodiments are included in the detailed description and the drawings.

According to the present invention, the present state of energy use can be systematically and integratedly provided by presenting the state of energy use of the region in association with data such as the structure, construction, type, area, shape, and surrounding topography of the building.

Considering the purpose of the building, the structure of the building, detailed design details, and surrounding topography, more efficient policy planning and execution can be realized by matching solutions such as energy saving policies and business plans applicable to the area to which the building belongs. .

1 is a diagram illustrating an overall configuration including an energy analysis / solution system in which a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to an embodiment of the present invention is implemented.

2 is a configuration diagram of a current state analysis module of an energy analysis / solution system.

3 is a schematic diagram of a solution presentation module of an energy analysis / solution system.

4 is a flowchart of a method for an energy analysis and solution presentation platform based on implemented energy big data collection in accordance with an embodiment of the present invention.

FIG. 5 is an analysis result implemented according to FIG. 4 and illustrates a screen output of a user terminal by matching selected maps and energy consumption among a plurality of pieces of information belonging to building data to a map.

6 is a flow diagram of a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention.

7 is a view visually showing the building environment data for each building.

FIG. 8 is a screen outputting a solution proposed to be applicable to an area to which a user's building belongs to the user terminal according to FIG. 6.

9 is a flow diagram of a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention.

10 is a flow diagram of a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings and the contents described below. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosure may be made thorough and complete, and to fully convey the spirit of the present invention to those skilled in the art. Like numbers refer to like elements throughout the specification. Meanwhile, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" refers to the presence of one or more other components, steps, operations and / or elements in which the stated components, steps, operations and / or elements are known. Or does not exclude additions.

In addition, "part" to "module" generally refer to components, such as software (computer program) and hardware which are logically separable. Therefore, the module in the present embodiment indicates not only the module in the computer program but also the module in the hardware configuration. Therefore, in the present embodiment, a computer program for making them function as a module (a program for executing each step of the computer, a program for making the computer function as each means, a program for realizing each function in the computer) And a description of the system and method. However, for the sake of explanation, the words "save" and "save", which are equivalent to these, are used. However, when the embodiment is a computer program, these words are stored in the storage device or stored in the storage device. It means to control as. In addition, although "unit" to "module" may correspond one-to-one to a function, in implementation, one module may be comprised by one program, multiple modules may be comprised by one program, and conversely, one module may be made into a plural program. You may comprise. The multiple modules may be executed by one computer, or one module may be executed by multiple computers by a computer in a distributed or parallel environment. In addition, another module may be included in one module. In addition, in the following description, the term "connection" is also employed in the case of a logical connection (data exchange, instruction, reference relationship between data, etc.) in addition to the physical connection. The term "predetermined" or "predetermined" means that it is determined before the target process, and is not only before the process according to the present embodiment is started but also after the process according to the present embodiment is started. In the case of before processing, the meaning including what is determined according to the situation, state at that time, or the situation until then is used.

In addition, a system or apparatus means that a plurality of computers, hardware, devices, and the like are connected and configured by a communication means such as a network (including a one-to-one communication connection). This is also the case when it is realized.

In addition, when a plurality of processes are performed for each process by each unit or each module or within each unit or module, the target information is read out from the storage device (memory) for each process, and then the process is performed. The result of the processing is written into the storage device. Therefore, the description may be omitted for reading input from the storage device before the processing and writing to the storage device after the processing. The storage device may include a hard disk, a random access memory (RAM), an external storage medium, a storage device via a communication line, a register in a central processing unit (CPU), and the like.

Hereinafter, an energy analysis / solution system in which a method for an energy analysis and solution presentation platform based on energy big data collection according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 3. FIG. 1 is a diagram illustrating an overall configuration including an energy analysis / solution system in which a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to an embodiment of the present invention is implemented, and FIG. 2. Is a configuration diagram of a current analysis module of an energy analysis / solution system, and FIG. 3 is a configuration diagram of a solution presentation module of an energy analysis / solution system.

Hereinafter, for convenience of description, a method for an energy analysis and solution presentation platform based on energy big data collection will be described as an example of hardware implementation in the system 200. However, the method for the energy analysis and solution presentation platform may be implemented as a computer program or a mobile application, embedded in an independent server, a cloud server, or another network server, which is separated from the outside, and executed through a mobile terminal program. Alternatively, the service may be provided to the user terminal 160 such as a wired terminal. In addition, the modules and parts of FIGS. 1-3 for implementing the method for the energy analysis and solution presentation platform may be distributed and processed in the servers shown in FIG. 1, other servers, and user terminals 160.

The overall configuration 100 for implementing a method for an energy analysis and solution presentation platform includes a map server 110, a building data server 120, a building environmental data server 130, an energy data server 140, Energy analysis / solution system 200 for receiving the data collected from these servers via the wired and wireless network 170 to output the energy use status for each building, matching the solution suitable for the area to which the building belongs, And a user terminal 160 that provides energy usage and solutions from the system 200 to residents, owners, or policy planners / executors of the building.

The map server 110 provides location information for each building, such as GPS latitude, longitude information, detailed address, and the like, and analyzes and analyzes graphically processed map data that visualizes the arrangement of buildings and roads. To the system 200. The location information of the map may be, for example, an Open Application Program Interface (API) based on Geographic Information Systerm (GIS) information for convenience of processing and production cost, and is not limited thereto. It is available.

The building data server 120 generates and stores building data such as address information for each building, a building structure according to building materials, a building age, a building type and a building area according to a residence type, and an energy analysis / solution system 200. To provide. The building data can be processed and generated by extracting data recorded in a building book and a land book of a public institution.

Specifically, the building structure is wood, block, brick, reinforced concrete according to the building material. RC tank and the like. The building age is the year the building was completed, and the building type can be a house type, a mall type, etc. according to the type of residence.In the case of a house type, it is divided into a single house, a multi-family house, a townhouse, a multi-family house, an apartment, and a multi-family house. Can be. The building area may be set to classify the area of the building for each area section.

The construction environment data server 130 generates and stores construction environment data for each building including at least address information of each building, building characteristics according to detailed design matters, and surrounding topography around the building, and an energy analysis / solution system ( 200). The construction environment data is other data that is not obtained by the building ledger and land ledger, and affects the energy performance of the building. The data are obtained from public institutions in each area, such as surveying the building site directly, or obtained from building plans and specifications. .

For example, building characteristics include the incense of the building, the inclination direction and inclination angle of the building site, the presence or absence of insulation, and the design items and facilities applied to the building, and the surrounding topography includes the inclination, inclination angle, and adjacent buildings around the building. Intervals and the like.

The energy data server 140 may generate and store electricity consumption and gas consumption collected by a public institution for each building in which address information is recorded, and transmit such consumption to the energy analysis / solution system 200. The energy consumption can be calculated as a cumulative consumption of a predetermined period per unit area for comparison accuracy. In addition, when there are a plurality of independent users in the corresponding building of the user, the energy data server 140 may collect energy consumption for each space of each independent user.

The user terminal 160 is a terminal that allows a user to request the energy analysis / solution system 200 for the energy use status and energy saving solution for each building. For example, a cellular phone, a smart phone, a tablet computer, It may be a laptop computer or a desktop computer.

The energy analysis / solution system 200 is a current state analysis module 210 and the building to present the energy use status of each building in a given area in conjunction with the data of the structure, age, type, area, shape, surrounding topography, etc. It includes a solution presentation module 220 matching the solution, such as energy saving policies, business plans applicable to the region.

Referring to FIG. 2, the current state analysis module 210 includes a map information receiver 211, a building data collector 212, a dry environment data collector 213, an electricity consumption collector 214, and a gas consumption collector ( 215, the request receiving unit 216, the merging unit 217, the consumption analysis unit 217, and the weak area analysis unit 219.

The map information receiving unit 211 receives location information for each building from the map server 110, and the building data collecting unit 212 receives the building information according to the address information and building materials for each building from the building data server 120. Receive building data including at least a structure, a building age, a building type according to a residence type, and a building area.

The dry environment data collection unit 213 receives, from the dry environment data server 130, dry environment data for each building including at least address information for each building, building characteristics according to detailed design matters, and surrounding topography around the building. Receive.

The electricity consumption collector 214 and the gas consumption collector 215 are provided with electricity consumption and gas consumption per building from the energy data server 140. In addition, the electricity consumption collector 214 and the gas consumption collector 215 may collect energy consumption for each space of each independent user when there are a plurality of independent users in a corresponding building of the user.

The request receiving unit 216 may, from the user terminal 160, request a request for a selected energy consumption amount according to at least one of a plurality of pieces of information belonging to building data, or at least one of a plurality of pieces of information belonging to building data and construction environment data. As a result, a request may be received requesting an analysis of areas of weak consumption.

The merging unit 217 matches the map information, the building data, the construction environment data, and the energy consumption with the corresponding building where the location information is written through the address information for each building.

The consumption analysis unit 217 analyzes the energy consumption based on at least one information selected by the user from among a plurality of pieces of information belonging to the building data transmitted in response to the energy consumption request from the request receiving unit 216, and the period desired by the user. The result of overlapping the map based on the location information is provided to the user terminal 160 to distinguish the energy consumption displayed for each building according to the amount of consumption.

The weak area analysis unit 219 receives an analysis request for the weak area of consumption from the request receiving unit 216 according to at least one information selected by the user from among a plurality of pieces of information belonging to the building data and the construction environment data. On the basis of this, the consumption of each building can be analyzed to suggest vulnerable areas.

In addition, the weak area analysis unit 219 analyzes the energy consumption for each space of an independent user using each space belonging to the building according to a request received from the request receiving unit 216 to determine the energy consumption of the space of the building. The weak space can be analyzed, and the cause of leakage of the weak space can be estimated based on the usage pattern of the independent user, the building data, and the construction environment data.

Meanwhile, referring to FIG. 3, the solution presentation module 220 may include an information collector 221, a solution requester 222, a solution selector 223, and a solution presenter 224.

The information collecting unit 221 collects the social data, the regional energy saving solution information, and the actual energy saving data according to the regional solution together with the building data, the dry environment data, and the energy consumption, which are matched and stored from the merger 217. can do.

The social environment data includes data on the income, the class, and the type of residence of the building occupants. For example, the information on the income of each building occupant, the average income information of the region to which the building belongs, and the classification of the poorest and second-class people. The type of residence such as class, number of building occupants, age, elderly living alone, and missing family.

The regional solution information may be a policy or business plan for energy saving in each region, for example, solar panels, auxiliary abatement devices, policies applied with renewable energy technology, replacement of existing electric or gas facilities, energy savings, etc. Mileage offerings, energy savings education, consulting services, and the introduction of a private energy community.

The regional solution may include a solution promoted by a corresponding organization to which a user building and a vulnerable area belong, and a solution promoted by another organization that does not belong to the user building and the vulnerable area.

The solution request unit 222 receives a solution request for reducing energy consumption for a user's building or a vulnerable area according to whether a user or a policy planner / executor inputs a saving condition.

The saving condition may be an amount of energy savings or savings desired by the user, a user's income information, a self-pay amount for the solution, and an estimated time point at which the self-pay amount is returned. If the saving condition is not entered, all applicable policies can be retrieved without limitation of the above-mentioned conditions.

The solution selection unit 223 matches and analyzes solution information and actual energy saving data according to building data, construction environment data, and social environment data of the requested user's building or vulnerable area, and is applicable to the user's building or vulnerable area. Select at least one solution.

The solution presenting unit 224 presents a detailed reduction method for the solution together with the selected solution, and requests the server of the corresponding institution in the area where the user's building belongs or the vulnerable area to see if the selected solution can be actually implemented. Or, you can receive suggestions for corrective solutions on your institution's servers for detailed savings on selected solutions.

The detailed reduction plan for the solution may include a total amount required when executing the solution, a self-pay amount of the building owner, an energy saving amount and an estimated time point at which the self-pay amount is returned after the execution of the solution.

Hereinafter, a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5. This embodiment proposes a weak area with excessive energy consumption and energy consumption by buildings linked with building data at the request of a policy planner / executor who is in charge of users, public works, or private energy management. 4 is a flowchart illustrating a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to an embodiment of the present invention, and FIG. 5 is an analysis result implemented according to FIG. 4 and belongs to building data. It is a screen output of the user terminal by matching the selected information and energy consumption of the plurality of information on the map.

First, the present condition analysis module 210 includes, from the building data server 120, the building environment data server 130, and the energy data server 140, building data for each building, building environment data for each building, and each Collect energy consumption per building (S410).

In detail, the building data collection unit 212 includes, from the building data server 120, a building including at least address information for each building, a building structure according to a building material, a building age, a building type according to a residence type, and a building area. Receive data.

The building data includes at least address information for each building, building structure according to building materials, building age, building type according to residence type, and building area. The building data can be processed and generated by extracting data recorded in a building book and a land book of a public institution.

Here, the building structure is wood, block, brick, reinforced concrete according to the building material. RC tank and the like. The building age is the year the building was completed, and the building type can be a house type, a mall type, etc. according to the type of residence.In the case of a house type, it is divided into a single house, a multi-family house, a townhouse, a multi-family house, an apartment, and a multi-family house. Can be. The building area may be set to classify the area of the building for each area section.

The construction environment data is other data that is not obtained as a building ledger and a land ledger, which are obtained by public institutions in each region, such as a survey of a building site directly, or from a building plan or a specification.

The electricity consumption collector 214 and the gas consumption collector 215 are provided with at least one of electricity consumption and gas consumption per building from the energy data server 140.

Data related to energy consumption is electricity consumption and gas consumption collected by public institutions for each building where address information is recorded, and may be calculated as a cumulative consumption amount for a predetermined period per unit area for comparison accuracy.

Next, the merging unit 217 matches the map information, the building data, the construction environment data, and the energy consumption received from the map server 110 with the corresponding building where the location information is written through the address information for each building (S420). ).

The map information is location information for each building, for example, GPS position, longitude information, detailed address, and the like, and is graphically processed map data visualizing an arrangement of buildings and roads. The location information of the map may be an open API based on GIS information for convenience of processing and production cost.

Subsequently, the request receiving unit 216 receives, from the user terminal 160, at least one selected by a user or a policy planner / executor among a plurality of pieces of information belonging to the building data, and a request for inputting an energy consumption amount selected by the user. Receive (S430).

The energy consumption selected by the user may be any one of electricity consumption and gas consumption.

Subsequently, on the basis of the request transmitted from the request receiving unit 216, the consumption analysis unit 217 overlaps the amount of electricity or gas consumption displayed for each building according to the amount of usage and provides it to the screen of the user terminal 160 ( S440).

For example, as shown in FIG. 5, when a user selects a building structure from among building data, for example, a wood structure, a block group, a reinforced concrete group, and then selects a specific section of electricity consumption, according to the building structure of each building The electricity consumption may be provided on the screen for the user's convenience.

In addition, the consumption analysis unit 217 may perform progress of solutions such as energy saving policies or business plans that are actually implemented in the area explored by the user, and / or actual energy savings / quantity after the solution is implemented, self-pay, time of recovery thereof, and the like. Related information can be provided in a user interface similar to FIG. 8.

According to this embodiment, by presenting the energy use status of the area in conjunction with the data of the structure, age, type, area, shape, surrounding topography, etc. of the building, the energy use status of each building in the area can be systematically and integrated. have. Compared to the case where the energy consumption of all buildings is displayed on the map, the user selects the information of the building data that needs to be intensively reviewed and selects and monitors the energy consumption for the building, and thus requires the energy saving. It has the advantage of more accurate understanding of structure, construction, type, area, etc.

Next, the request receiving unit 216 receives a request for analysis of the vulnerable area of consumption according to at least one selected from a plurality of pieces of information belonging to building data and construction environment data (S450).

The vulnerable area is an area where energy consumption is excessive, based on a combination of at least one of a reference value of each item, an average value of the reference value and a weighted reference value, and an average value of each item for which the energy consumption is set for each piece of the building data and the construction environment data.

Subsequently, the vulnerable area analysis unit 219 analyzes the consumption amount of each building based on the selection information received from the request receiving unit 216 to present the vulnerable area (S460).

Analysis of vulnerable areas includes building structures selected by the user, age, type, area, inclination of the building, the inclination and inclination angle of the building site, the presence of insulation, the design items and facilities applied to the building, the inclination and angle around the building, It is a process of selecting areas where excessive consumption is calculated by reference values, etc., as vulnerable areas in consideration of the distance from adjacent buildings.

As shown in FIG. 8, the energy-vulnerable tenement home area is selected as a vulnerable area and displayed on the user terminal 160 as the underweight management area of A5.

According to the present embodiment, the user may not only select the weak areas by simply comparing the energy consumption of each building without considering all the above items, but also may select the weak areas based on the items selected by the user. . Accordingly, the vulnerable areas can be selected from the viewpoint of the items belonging to the information of the building data and the construction environment data, and the analysis of the vulnerable areas can yield more meaningful results.

In addition, the energy consumption or the result of the vulnerable area provided through the step S440 or S460 provides the general residents with the exact consumption status of the residential building, and the personnel in charge of public service support monitor the energy status in an integrated manner for policy planning / enforcement. In addition to being used as a policy guide for Korea, energy blind spots can be identified and managed. In addition, private energy managers can target building residents who need energy consulting, training, and promotion of savings.

Hereinafter, a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention will be described with reference to FIGS. 1 to 3 and 6 to 8. This embodiment proposes an energy saving solution for the area to which the user's building belongs at the request of the user who owns or lives the building. FIG. 6 is a flowchart illustrating a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention, FIG. 7 is a view visually showing building environment data for each building, and FIG. 8. 6 is a screen outputting a solution proposed to be applicable to an area to which a user's building belongs to a user terminal according to FIG. 6.

First, the information collecting unit 221 is the building data, construction environment data, energy consumption, and matched and stored from the merger 217, social environment data, solution information for energy saving by region, actual energy saving data according to the solution by region To collect (S610).

The regional solution information may be a policy or a business plan for energy saving in each region, for example, an energy saving technology policy to which a solar panel, an auxiliary abatement device, renewable energy technology is applied, a replacement business of an existing electric or gas facility, It can be energy saving education, consulting education, and introduction of the private energy community.

Next, the solution request unit 222 receives a solution request for reducing energy consumption for the area to which the user's building belongs, according to whether the user enters the saving condition from the user (S620).

In this case, the saving conditions entered by the user include the energy savings or savings desired by the user, the self-payment amount for the solution, the estimated time point at which the self-payment is returned, the income information of the user belonging to the social environment data, the hierarchy and the living type. And at least one of them. If the saving condition is not entered, all applicable policies can be retrieved without limitation of the above-mentioned conditions.

Subsequently, the solution selection unit 223 matches and analyzes solution information and actual energy saving data according to building data, construction environment data, and social environment data of the requested user's building (S630).

Subsequently, the solution selector 223 selects at least one solution applicable to the area to which the user's building belongs (S640).

The solution selection unit 223 selects a solution applicable to the area in consideration of the total amount required when executing the solution, the self-pay amount of the building owner, the estimated time point at which the energy savings and the self-pay amount are returned after the execution of the solution, and the like. Choose.

Subsequently, the solution presenting unit 224 presents a detailed reduction method for the solution together with the selected solution (S650).

The detailed reduction plan may include at least one from the total amount, self-pay, post-execution energy savings, and the estimated time point at which the self-pay amount is required to execute the solution according to the energy saving technology policy, education, consulting, community, etc. . For example, as shown in FIG. 8, the area to which the user's building belongs is selected as an old multi-family dense area or a low-rise old house residence as in A2, A3 or A4 according to building data, construction environment data, and social environment data. When the user inputs the saving condition, a policy or a business plan applicable to the user's region may be presented.

As can be seen in FIG. 8, a suitable solution may be different for each building-related data of the user, and in some cases, solutions in other regions besides one's own region may also be presented.

When the user selects the solution shown in FIG. 8, the solution presenter 224 may provide the user terminal 160 with a detailed reduction method for the solution, and the detailed reduction method may include at least one of the above items. .

For example, when the solution presenting unit 224 presents a solar panel installation project as an energy saving technology policy, the solution selecting unit 223 together with the building data, the building orientation, which is the dry environment data shown in FIG. 7. , Height, the inclination direction and angle of the building site, the distance between the adjacent building, etc. are comprehensively taken into consideration. In particular, the above-mentioned business is recommended to the user in consideration of the scent of the building classified by color shown in FIG. 7. The solution is not only a facility installation business plan, but also a comprehensive consideration of building data, construction environment data, income data, etc., in addition to the energy saving technology policy, the mileage business such as electricity bill reduction, etc. It may be consulting or training.

Next, the solution presenting unit 224 requests the server of the relevant institution in the region where the user's building belongs to review the actual solution of the solution selected by the user, or applies the corrected solution for the detailed reduction method of the selected solution. Receive the proposal to the server of the institution (S660).

According to the present embodiment, by accurately diagnosing the use of the building, the configuration of the building, detailed design matters, and surrounding topography, matching solutions such as energy saving policies, business plans, etc. applicable to the area to which the building belongs, and saving energy, Accurately deliver optimized solutions up to copayment and redemption. In addition, by allowing the user to propose modifications to the detailed reduction plan of the proposed solution, the policy planner / executor can realize effective policy planning and execution.

Hereinafter, a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention will be described with reference to FIGS. 1 to 3 and 7 to 9. This embodiment presents an energy saving solution for vulnerable areas at the request of a policy planner / executor involved in public service support or private energy management that establishes, proceeds, trains, or consults an energy saving policy. 9 is a flow diagram of a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention. This embodiment differs from the embodiment of FIG. 6 in that it is a policy planner / executor and a vulnerable area in terms of the requesting subject and the analysis area, and the implementation of each step is similar to that of FIG. .

First, the information collecting unit 221 is the building data, construction environment data, energy consumption, and matched and stored from the merger 217, social environment data, solution information for energy saving by region, actual energy saving data according to the solution by region To collect (S910).

Next, the solution request unit 222 receives a solution request for reducing energy consumption for the vulnerable area from the user terminal 160 according to whether the policy planner or the like enters saving conditions (S920).

In this case, the vulnerable area is determined by a policy planner, etc., by reselecting the areas shown in steps S450 and S460 of FIG. 4, for example, the energy-vulnerable tenement house area of A5 of FIG. 8 is reselected or a subsequent process of FIG. 4. Proceeds to can be determined.

Subsequently, the solution selection unit 223 matches and analyzes the solution information and the actual energy saving data according to the requested building data, dry environment data, and social environment data of the building residents of the vulnerable area (S930).

Subsequently, the solution selector 223 selects at least one solution applicable to the vulnerable region (S940).

The solution selection unit 223 estimates the total amount required when executing the solution according to the energy saving technology policy, education, consulting, community, etc., the self-pay of the building owner, the execution of the solution, and the energy saving amount and the self-pay amount of money. Choose a solution that is applicable to your area.

Subsequently, the solution presenting unit 224 presents a detailed reduction method for the solution together with the selected solution (S950).

For example, as shown in FIG. 8, a policy or a business plan applicable to the area may be presented according to the energy-vulnerable townhouse area selected as the vulnerable area and the saving condition input by the user.

As can be seen in Figure 8, in addition to the solution to be implemented / in progress in the region to which the vulnerable area, in some cases, solutions outside the vulnerable region may also be presented together.

When the policy planner or the like selects the solution shown in FIG. 8, the solution presenter 224 may provide the user terminal 160 with a detailed method of reducing the solution selected from the energy saving technology policy, education, consulting, community, and the like. The detailed reduction plan may include a total amount required when executing the solution, a self-pay amount of the building owner, and an estimated time point at which the energy savings and the self-pay amount are returned after the execution of the solution.

Next, the solution presenting unit 224 requests the server of the institution in the vulnerable region to review whether the solution selected by the policy planner or the like among the proposed solutions can be actually implemented, or the revised solution for the detailed reduction method of the selected solution. The proposal to the server is received (S960).

According to the present embodiment, by accurately diagnosing the use of the building, the configuration of the building, the detailed design matters and the surrounding topography, matching solutions such as energy saving policies and business plans applicable to vulnerable areas, energy savings, self Accurately deliver optimized solutions up to the point of levy and return. In addition, policy planners can contribute to efficient policy planning and execution by suggesting revised proposals to reduce the detailed solutions.

Hereinafter, a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention will be described with reference to FIGS. 1 to 3 and 10. The present embodiment analyzes the vulnerable space and the cause of leakage when there are a plurality of users in the user's building, such as an independent user, for example, a space that is independently traded or divided as an owner or a tenant. 10 is a flow diagram of a method for an energy analysis and solution presentation platform based on implemented energy big data collection according to another embodiment of the present invention.

First, when there are a plurality of independent users in the corresponding building of the user, the energy data server 140 collects energy consumption for each independent user's space, and the electricity consumption collecting unit 214 and the gas consumption collecting unit 215 respectively. The energy consumption is collected for each space of the independent user (S1010).

Next, the vulnerable area analysis unit 219 analyzes the energy consumption for each space of an independent user using each space belonging to the building according to a request received from the request receiving unit 216, and the energy consumption of the space of the building. Analyze the vulnerable space (S1020).

Vulnerable spaces may be selected simply by excessive energy consumption within the building, or may be based on energy from other buildings that have similarities to the building data, the building environment data, and the building environment's social environment data. It may be chosen whether the consumption is excessive.

Subsequently, the fragile area analysis unit 219 estimates the cause of leakage of the fragile space based on the usage pattern of the independent user, the building, the building data having the above-described similarity, and the building environment data of the building (S1030).

Leaks cause independent users to consume excessive energy, the presence of insulation, deterioration of electrical facilities, abnormal wiring and electrical installations, failure to install energy-saving facilities such as solar panels, building ages, building types according to residence type, building fragrance, and buildings. It may be the inclination direction and the inclination angle of the site, the distance from the adjacent building, and the like.

Although not shown in the drawing, to receive a solution for a building including a vulnerable space, the user terminal 160 may be used to perform the steps of FIG. 6 or 9.

According to the present embodiment, when there are a plurality of independent users in a building such as a user, not only a more energy vulnerable space can be confirmed, but also a variety of data can be taken into consideration to accurately diagnose the cause of the leakage, thereby saving energy in the future. It is easy to set the direction for establishing a solution for this, and the amount of savings can be further increased.

Steps according to the components constituting the energy analysis / solution system 200 shown in Figs. 1 to 3 or the embodiments shown in Figs. 4, 6, 9, and 10 are used to implement the program. In the form of a computer-readable recording medium. Here, the computer-readable recording medium refers to a recording medium which accumulates information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read by a computer. Examples of such recording media that can be separated from a computer include, for example, portable storage, flexible disks, magneto-optical disks, CD-ROMs, CD-R / Ws, DVDs, DATs, memory cards, and the like. In addition, a solid state disk (SSD), a hard disk, a ROM, or the like is a recording medium fixed to a mobile device and a computer.

In addition, in the above, it is described that all the components constituting the embodiment of the present invention is combined to operate as one, the present invention is not necessarily limited to these embodiments. In other words, within the scope of the present invention, all of the components may be selectively operated in combination with one or more. In addition, although all of the components may be implemented as one independent hardware, each or all of the components may be selectively combined to perform a program module that performs some or all functions combined in one or a plurality of hardware. It may be implemented as a computer program having.

Although the present invention has been described in detail with reference to exemplary embodiments above, those skilled in the art to which the present invention pertains can make various modifications without departing from the scope of the present invention. I will understand. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by all changes or modifications derived from the claims and the equivalent concepts as well as the following claims.

Claims

Building data for each building that includes at least building structure, building age, building type by residence type, and building area, building area according to building material, building characteristics according to detailed design matters, and at least each building's surrounding topography. Collecting dry environmental data for each building and energy consumption for each building;

Matching the building data, the building environment data, and the energy consumption with a corresponding building in which location information is written;

Requesting a selected energy consumption amount according to at least one of a plurality of pieces of information belonging to the building data; And

A method for energy analysis and solution presentation platform based on energy big data collection, comprising: providing energy consumption displayed for each building by overlapping a map based on location information to be distinguished according to usage.
The method of claim 1,

The energy consumption is at least one of the electricity consumption and the gas consumption, the energy consumption is a cumulative consumption of a predetermined period per unit area, and the location information is an Open Application Program Interface (API) based on Geographic Information Systerm (GIS) information. For energy analysis and solution presentation platforms based on in-energy big data collection.
The method of claim 1,

The building characteristics include the incense of the building, the inclination direction and inclination angle of the building site, the presence or absence of insulation, and the design items and facilities applied to the building, and the surrounding topography includes the inclination direction around the building, the inclination angle, the adjacent building and A method for an energy analysis and solution presentation platform based on energy big data collection that includes intervals of time.
The method of claim 1,

After providing the map overlapping,

Along with the building data, the construction environment data, energy consumption, social environment data including the income, class, residential form of the building occupants, solution information for energy saving by region, actual energy saving data according to the regional solution step;

Requesting a solution for reducing energy consumption for the user's building according to the input or non-input of the saving condition;

Matching and analyzing the solution information and the actual energy saving data according to the building data, the building environment data, and the social environment data of the building of the requested user;

Selecting at least one solution applicable to the building of the user;

Presenting a detailed reduction plan for the solution together with the selected solution; And

Asking the server of the relevant institution in the area where the user's building belongs to review the actual solution of the solution selected by the user, or suggesting a corrective solution to the server of the relevant institution for the detailed reduction method of the selected solution. A method for an energy analysis and solution presentation platform based on energy big data collection that includes steps.
The method of claim 1,

After providing the map overlapping,

Collecting energy consumption for each independent user's space when there are a plurality of independent users in the building of the user;

Analyzing the energy consumption for each space to analyze a space vulnerable to the energy consumption of the space of the building; And

A method for an energy analysis and solution presentation platform based on energy big data collection, comprising estimating leak sources in vulnerable spaces based on usage patterns of independent users, building data, and building environment data.
The method of claim 1,

Requesting an analysis of a weak area of consumption according to at least one selected from a plurality of pieces of information belonging to the building data and the building environment data; And

A method for energy analysis and solution presentation platform based on energy big data collection, comprising the step of analyzing the consumption of each building based on the selected information and presenting vulnerable areas.
The method of claim 6,

After presenting the vulnerable area,

Along with the building data, the construction environment data, energy consumption, social environment data including the income, class, residential form of the building occupants, solution information for energy saving by region, actual energy saving data according to the regional solution step;

Requesting a solution for reducing energy consumption for the vulnerable area according to input or non-input of the saving condition;

Matching and analyzing the solution information and the actual energy saving data according to the building data, the building environment data, and the social environment data for the requested vulnerable area;

Selecting at least one solution applicable to the vulnerable area;

Presenting a detailed reduction plan for the solution together with the selected solution; And

Requesting a server of a corresponding institution in the vulnerable region to review whether the selected one of the proposed solutions can be actually implemented, or suggesting a corrective solution to the server of the corresponding institution for detailed reduction of the selected solution. A method for an energy analysis and solution presentation platform based on energy big data collection.
The method according to claim 4 or 7,

The solution information for each region may include energy analysis based on energy big data collection, including a solution promoted by a corresponding organization to which the user building and the vulnerable area belong, and a solution promoted by the user building and another organization that does not belong to the vulnerable area. Method for solution presentation platform.
The method according to claim 4 or 7,

The detailed reduction scheme for the solution is energy big which is information including the total amount required when executing the solution, the self-pay amount of the building owner, and an estimated time point at which the energy saving amount and the self-pay amount are returned after the execution of the solution. A method for energy analysis and solution presentation platforms based on data collection.