Method and server for determining evaluation information on amount of energy use of place of address

Abstract

The present invention relates to a method and a server for determining evaluation information on the amount of energy use of a place of address, the method comprising: identifying feature information about a place of address, and identifying law information related to a building of the place of address by using the feature information of the place of address; extracting energy-related information from the law information, and then calculating a reference value for determining evaluation information about the amount of energy use on the basis of the extracted energy-related information; identifying the current amount of energy use of the place of address, and comparing the current amount of energy use of the place of address with the reference value so as to determine evaluation information about the amount of energy use of the place of address; and providing, to a user terminal, result information in which a visual image based on the evaluation information is reflected on a map image including the place of address.

Description

Method and server for determining assessment information on energy usage at an address

[0001] The present invention relates to urban regeneration technology, and more particularly, to a method and server for determining evaluation information on energy usage at an address, which finds and visualizes aging buildings based on energy usage.

[0002] In buildings, homes, factories, and offices, energy (e.g., electricity, gas, etc.) usage is assessed monthly. This energy usage is influenced by occupant energy usage patterns, but it is also significantly influenced by the performance and aging of installed facilities (e.g., heating and cooling systems, fire protection systems, security systems, environmental systems, etc.). These facilities' performance and aging directly impact energy bills.

[0003] Meanwhile, the government currently offers benefits to buildings that conserve energy and resources through green building certification and zero-energy building certification. Furthermore, building owners and residents are exploring energy-saving measures to reduce their monthly energy bills.

[0004] However, individuals often don't know whether their buildings consume more or less energy than similar buildings, nor do they know which equipment or facilities need improvement. Consequently, they often resort to expensive diagnostics by experts.

[0005] Therefore, there is a need for a method that can easily provide individuals with information on the level of energy usage for their own addresses.

[0006] The present invention provides a method and server for determining evaluation information on energy usage of an address by using building code information related to the characteristic information of the address and actual energy usage for each address in a set area.

[0007] According to an embodiment of the present invention for achieving the above object, a method for determining evaluation information on energy usage at an address by a server may include: a step of confirming characteristic information on the address; a step of confirming legal information related to a building at the address using the characteristic information of the address; a step of extracting energy-related information from the legal information; a step of calculating a reference value for determining evaluation information on the energy usage based on the extracted energy-related information; a step of determining current energy usage at the address; a step of comparing the current energy usage at the address with the reference value to determine evaluation information on the energy usage at the address; and a step of providing result information in which a visual image based on the evaluation information is reflected on a map image including the address to a user terminal.

[0008] The step of calculating the above reference value may include the step of providing an interface for inputting whether to apply each of the energy-related information to the user terminal; the step of receiving an interaction with the interface from the user terminal; and the step of calculating the reference value by applying the energy-related information determined based on the interaction.

[0009] The step of checking the legal information related to the building may include the steps of: generating a first API prompt requesting the generative AI to extract the legal information related to the building at the address; providing the first API prompt to the generative AI; and receiving the legal information related to the building at the address from the generative AI.

[0010] The step of extracting the energy-related information may include the step of generating a second API prompt requesting the generative AI to extract the energy-related information from information in laws and regulations related to the building; the step of providing the second API prompt to the generative AI; and the step of receiving the energy-related information from the generative AI.

[0011] The step of calculating the above reference value may include a step of checking whether two or more energy-related information for the same subject exists in two or more different pieces of legal information.

[0012] In the step of confirming the existence, if two or more pieces of energy-related information are confirmed, the step of generating common energy-related information that satisfies both pieces of energy-related information may include; and a step of calculating a reference value for determining evaluation information on the energy usage based on the common energy-related information.

[0013] In the step of confirming the existence, if two or more pieces of energy-related information are confirmed, the step may include a step of providing an interface for inputting whether to apply each of the two or more pieces of energy-related information; a step of receiving an interaction with the interface from the user terminal; and a step of calculating the reference value by applying the energy-related information determined based on the interaction.

[0014] A method for determining evaluation information on energy usage at an address according to an embodiment of the present invention may further include the steps of: verifying requirements for certification of the address; identifying the current status of a building at the address; calculating a cost for satisfying the requirements for certification based on the current status; verifying an incentive for obtaining the certification; and comparing the cost with the incentive to determine whether to proceed with the certification process.

[0015] In addition, a method for determining evaluation information on energy usage at an address according to an embodiment of the present invention includes a step of providing result information in which an additional visual image is reflected based on whether a procedure for authentication is in progress in a map image including the address to a user terminal, and the visual image and the additional visual image may have different distinction criteria.

[0016] A server for determining evaluation information on energy usage at an address according to an embodiment of the present invention for achieving the above task includes: a memory; a communication unit for performing wired or wireless network communication with a user terminal and each storage; and a processor connected to the memory and the communication unit and configured to execute commands included in the memory.

[0017] The processor may be configured to perform the steps of: confirming characteristic information for the address; confirming legal information related to a building at the address using the characteristic information of the address; extracting energy-related information from the legal information; calculating a reference value for determining evaluation information on the energy usage based on the extracted energy-related information; identifying the current energy usage of the address; comparing the current energy usage of the address with the reference value to determine evaluation information on the energy usage of the address; and providing result information in which a visual image based on the evaluation information is reflected on a map image including the address to a user terminal.

[0018] The present invention has the advantage of being able to easily and accurately analyze the level of energy usage by identifying the regulations of energy-related facilities through building laws and regulations based on the construction date of the address and the purpose of the facility, and identifying the level of energy usage based on the same purpose as the address.

[0019] FIG. 1 is a diagram showing a network environment of an energy diagnosis server according to a first embodiment of the present invention.

[0020] FIG. 2 is a diagram showing a network environment of an energy diagnosis server according to a second embodiment of the present invention.

[0021] Figure 3 is a block diagram of an energy diagnosis server according to a first embodiment of the present invention.

[0022] Figure 4 is a block diagram of an energy diagnosis server according to a second embodiment of the present invention.

[0023] FIG. 5 is a flowchart of a method for determining evaluation information on energy usage at an address according to a first embodiment of the present invention.

[0024] FIG. 6 is a flowchart of a method for determining evaluation information on energy usage at an address according to a second embodiment of the present invention.

[0025] Figure 7 is a flowchart of a zero-energy building certification diagnosis method according to an embodiment of the present invention.

[0026] FIG. 8 is a diagram illustrating a method of utilizing energy-related information when calculating a reference value according to an embodiment of the present invention.

[0027] FIG. 9 is a diagram that visualizes evaluation information on energy usage by address according to an embodiment of the present invention.

[0028] Hereinafter, embodiments disclosed in this specification will be described in detail with reference to the attached drawings. Regardless of the drawing reference numerals, identical or similar components will be assigned the same reference numerals, and redundant descriptions thereof will be omitted. Furthermore, when describing embodiments disclosed in this specification, if a detailed description of a related known technology is judged to obscure the gist of the embodiments disclosed in this specification, the detailed description thereof will be omitted.

[0029] Terms that include ordinal numbers, such as first, second, etc., may be used to describe various components, but the components are not limited by these terms. These terms are used solely to distinguish one component from another.

[0030] Singular expressions include plural expressions unless the context clearly indicates otherwise.

[0031] In this application, each step described may be performed regardless of the listed order, except in cases where a special causal relationship requires that the steps be performed in the listed order.

[0032] In this application, terms such as “include” or “have” are intended to specify the presence of a feature, number, step, operation, component, part or combination thereof described in the specification, but should be understood not to exclude in advance the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts or combinations thereof.

[0033] Hereinafter, the present invention will be described with reference to the attached drawings.

[0034] FIG. 1 is a diagram illustrating a network environment of an energy diagnosis server according to a first embodiment of the present invention. Referring to FIG. 1, the network of the energy diagnosis server according to the first embodiment of the present invention is composed of an address characteristic information storage (10), a legal information storage (20), a zero energy information storage (30), an energy usage information storage (40), and an energy diagnosis server (100).

[0035] The address characteristic information storage (10) is an Internet-based device that stores or manages address characteristic information, i.e., a server or system on the Internet. For example, the address characteristic information storage (10) may be at least one of a server or system of the Government24 website that stores and allows viewing of information such as building registers (i.e., building management registers), a server or system of Hometax that allows viewing of business registration certificates for the address in question, a server or system of an administrative agency (e.g., city hall, district office, county office, etc.) that allows checking building permit information, and a server or system that provides information such as annual sales, number of regular residents (including number of regular workers), etc.

[0036] Here, address characteristic information includes the completion date, address, purpose, and industry of the building at the address, and may further include the number of permanent residents, total floor area, annual sales, and structure of the building.

[0037] A zero-energy information repository (20) is an Internet-based server or system that stores information for zero-energy certification. For example, the zero-energy information repository (20) may be a server or system of a zero-energy building certification system.

[0038] An energy usage information storage (30) is an Internet server or system that stores and provides information on actual energy usage at an address. For example, the energy usage information storage (30) may be at least one of a server or system of the Korea Electric Power Corporation, a server or system of a regional city gas company such as Seoul City Gas or Busan City Gas, or a server or system of a district heating company. Accordingly, energy usage may be electricity usage, gas usage, or both.

[0039] The energy diagnosis server (100) is connected to the address characteristic information storage (10), the zero energy information storage (20), and the energy usage information storage (30) via a wired or wireless network, and requests information from each storage (10 to 30) or collects the information through crawling. In addition, the energy diagnosis server (100) stores information on laws (including enforcement decrees) related to buildings corresponding to the characteristic information of each address. The legal information is based on the legal information related to facilities / buildings provided by the National Law Information Center of the Ministry of Government Legislation. In addition to the Building Act and the Housing Act, the legal information may include legal information related to fire facilities, environmental facilities, crime prevention facilities, hazardous materials, etc.

[0040] Through this, the energy diagnosis server (100) uses its own stored legal information and information collected from each storage (10 to 30) to perform a method of determining evaluation information on energy usage at an address according to an embodiment of the present invention. In addition, the energy diagnosis server (100) can perform an energy usage diagnosis for the address in question to calculate the type of energy-related facility to be repaired or replaced, as well as the cost of repair or replacement.

[0041] The user terminal (200) can be connected to the energy diagnosis server (100) via a wired or wireless network, and can request and receive various information from the energy diagnosis server (100). The user terminal (200) can be a terminal that can use the Internet, such as a desktop, laptop, tablet PC, or mobile device. In the case of a mobile device, the user terminal (200) can download a mobile app provided by the energy diagnosis server (100), request various information from the energy diagnosis server (100) through the mobile app, and receive the information.

[0042] FIG. 2 is a diagram illustrating a network environment of an energy diagnosis server according to a second embodiment of the present invention. Referring to FIG. 2, the network of the energy diagnosis server according to the second embodiment of the present invention is generally identical to the network of the energy diagnosis server according to the first embodiment of the present invention. However, the network of the energy diagnosis server according to the second embodiment of the present invention may be configured to further include a generative AI (artificial intelligence) (300).

[0043] The generative AI (300) is an artificial intelligence that can be used by anyone, and there can be at least one. The generative AI (300) can be implemented as a computer device or multiple computer devices that provide commands, codes, files, content, services, etc. In addition, the generative AI (300) can communicate with other servers and terminals that construct the system through a network to send and receive information. For example, the generative AI (300) is a computer device or multiple computer devices that provide services such as Amazon's "chatGPT", Microsoft's "bing chat", and Google's "bard". The generative AI (300) can receive an API (Application Programming Interface) prompt provided by the energy diagnosis server (100) through API communication, generate a response corresponding to a question of the received API prompt, and provide the response to the energy diagnosis server (100).

[0044] Here, the response provided by the generative AI (300) may be information on laws (including enforcement decrees) related to a building corresponding to the characteristic information of the address, and may be energy-related information included in the laws and regulations.

[0045] In the case of using a generative AI (300), the energy diagnosis server (100) may not have a database that stores legal information.

[0046] FIG. 3 is a block diagram of an energy diagnosis server according to a first embodiment of the present invention, and relates to an energy diagnosis server (100) applied to a network according to the first embodiment of the present invention. The energy diagnosis server (100) is a server that determines evaluation information on energy usage at an address according to an embodiment of the present invention.

[0047] Referring to FIG. 3, the energy diagnosis server (100) according to the first embodiment of the present invention may include a communication unit (110), an input unit (120), an output unit (130), a memory (140), a processor (150), and a law database (160).

[0048] The communication unit (110) can communicate with the user terminal (200) and various storages (10 to 40) via a network in a wired / wireless manner.

[0049] The input unit (120) can receive various information through the user's manipulation and input actions. Such an input unit can be a touch screen module, a keyboard, a mouse, a button, a camera, a stylus, a microphone, etc.

[0050] The output unit (130) can output various information. The output unit (130) can be a display device, a speaker, a vibration generating device, a tactile generating device, etc.

[0051] The memory (140) functions as a storage medium and can store a plurality of application programs running on the energy diagnosis server (100), data for the operation of the energy diagnosis server (100), and commands. In addition, a mobile application (mobile app) for a user terminal (200), i.e., a mobile terminal, can be stored in the memory (140). This memory (140) can be provided in the form of various storage devices such as hardware, ROM, RAM, flash drive, hard drive, etc., or can be provided in the form of web storage.

[0052] The processor (150) can perform a function of determining energy usage for each address and an energy diagnosis function by controlling the overall operation of the communication unit (110), input unit (120), output unit (130), memory (140), and database (160).

[0053] In order to determine the energy usage for each address, the processor (150) identifies the characteristic information of the address, checks the legal information corresponding to the identified characteristic information through the legal database (160), identifies energy-related information from the legal information, and calculates a reference value (hereinafter referred to as “first reference value”) based on the identified energy-related information. The reference value can be calculated by reflecting the identified energy-related information in a preset reference value corresponding to the characteristic information of the address, or by calculating a change amount using the identified energy-related information and then reflecting the change amount in the set reference value.

[0054] Then, the processor (150) compares the actual energy usage of the address with the calculated first reference value to determine evaluation information on how much the actual energy usage is higher or lower than the first reference value, and can display the result information reflecting a visual image based on the evaluation information corresponding to the address or provide it to the user terminal (200).

[0055] Here, the established energy standard is calculated by reflecting the change in average energy consumption for buildings with the same usage characteristics as the address, as determined by energy-related information specified in relevant laws and regulations. Buildings with the same usage characteristics as the address may either be buildings with the same purpose and industry as the address, or buildings with the same purpose and industry as the address and at least one of the following characteristics—annual sales, number of full-time employees (number of employees), or workplace area—that falls within the established margin of error.

[0056] Energy-related information includes information related to energy-related facilities such as heating, cooling, hot water, ventilation, lighting, insulation, and environmental facilities (e.g., wastewater and exhaust gas facilities). For example, energy-related information may include standards for the use of insulation materials, standards for the use of windows, performance standards for emission reduction devices, installation standards for fire protection facilities, installation standards for lighting, and performance standards for air conditioners. Since new energy-related information is added or updated whenever building-related laws are revised, the applicable building-related laws may differ depending on the completion date of the building, and thus, the energy-related information may differ accordingly.

[0057] The change is the change in energy consumption according to revised laws and regulations, as determined by energy-related information. For example, if the 1997 Building Act stipulates a 3cm insulation thickness, but the 2005 Building Act stipulates a 5cm insulation thickness, then the cooling and heating efficiency of the building will increase, leading to a decrease in energy consumption. For example, if window installation standards are strengthened from standard to double-glazed windows, the cooling and heating efficiency of the building will increase, leading to a decrease in energy consumption. Another example is if lighting installation standards are revised from incandescent to LED, the building's energy consumption will decrease. Conversely, buildings subject to revised laws mandating wastewater treatment facilities or emission reduction facilities will see increased energy consumption compared to previous buildings due to the installation of new equipment. Therefore, the processor (150) calculates the change in energy based on this energy-related information and sets the calculated energy amount as the change for the address or building at the address.

[0058] For the energy diagnosis function, the processor (150) determines the status of energy-related facilities at a given address or building at the given address, and identifies facilities requiring maintenance or replacement among the identified energy-related facilities. Here, the status of energy-related facilities may include the name, installation date, performance (specification), etc. of the energy-related facilities.

[0059] And for the energy diagnosis function, the processor (150) determines the conditions for certification of a zero-energy building, that is, the conditions of energy-related facilities, and among the energy-related facilities determined for the address or the building at the address, determines the facilities that need to be repaired or replaced for certification of a zero-energy building, calculates the required cost, compares it with the cost benefits provided according to the zero-energy building certification, and determines whether to proceed with the certification process for the zero-energy building. When the processor (150) determines whether to proceed with the certification process for the zero-energy building, it can provide result information in which an additional visual image based on whether to proceed with the certification process is reflected in a map image including the address to the user terminal (200). At this time, the visual image and the additional visual image may have different distinction criteria, and the different distinction criteria may be achieved by differentiating brightness or saturation, differentiating color and brightness, or differentiating color and indicator (e.g., marker).

[0060] The database (160) stores various laws related to buildings and can provide the relevant law information upon request from the processor (150).

[0061] FIG. 4 is a block diagram of an energy diagnosis server according to a second embodiment of the present invention, and relates to an energy diagnosis server (100) applied to a network according to the second embodiment of the present invention.

[0062] Referring to FIG. 4, the energy diagnosis server (100) according to the second embodiment of the present invention may have the same overall configuration as the energy diagnosis server (100) according to the first embodiment of the present invention. However, the energy diagnosis server (100) according to the second embodiment of the present invention has a difference in that it does not have a database (160) compared to the energy diagnosis server (100) according to the first embodiment of the present invention.

[0063] Accordingly, the processor (150) of the energy diagnosis server (100) according to the second embodiment of the present invention can perform the function of determining energy usage for each address and the energy diagnosis function by controlling the overall operation of the communication unit (110), input unit (120), output unit (130), and memory (140). At this time, the processor (150) can perform the function of determining energy usage and the energy diagnosis function by using the information collected from each storage (10 to 30) and the generative AI (300).

[0064] In addition, the communication unit (110) can communicate with the user terminal (200) and various storages (10 to 30) via a network in a wired / wireless manner, and can perform API communication with the generative AI (300).

[0065] FIG. 5 is a flowchart illustrating a method for determining evaluation information on energy usage at an address according to a first embodiment of the present invention, and is for a case where a change in a reference value is used. Referring to FIG. 5 , in step (S501), the energy diagnosis server (100) verifies characteristic information for a specific address among the addresses in a set area, i.e., the first address, through the address characteristic information storage (10).

[0066] In step (S502), the energy diagnosis server (100) uses the characteristic information of the first address to check the legal information related to the building. At this time, the energy diagnosis server (100) uses the legal information related to the building stored in its own database (160) or uses the generative AI (300) to check the legal information related to the first address.

[0067] In step (S503), the energy diagnosis server (100) extracts energy-related information from legal information related to the first address. At this time, the energy diagnosis server (100) extracts energy-related information using an algorithm for extracting energy-related information of the processor (150) or using a generative AI (300).

[0068] In step (S504), the energy diagnosis server (100) calculates the amount of change for each of the extracted energy-related information, and adds up the calculated amounts of change to calculate the amount of change from the reference value.

[0069] In step (S505), the diagnostic server (100) calculates a first reference value by applying the change amount of the reference value calculated in step S504 to the reference value previously calculated and stored based on the characteristic information of the first address.

[0070] Meanwhile, after extracting energy-related information through step S503, the diagnostic server (100) may further perform a step of checking whether two or more pieces of energy-related information exist for the same object in two or more different pieces of legal information. That is, the diagnostic server (100) may further perform a step of checking whether multiple pieces of energy-related information exist for one object in different pieces of legal information. In this case, if two or more pieces of energy-related information are confirmed, the diagnostic server (100) may generate common energy-related information that satisfies both pieces of energy-related information, and may calculate a first reference value for determining evaluation information for the energy usage based on the common energy-related information. The two or more pieces of energy-related information may be different reference values ​​for the same energy-related information. For example, for a heating facility as a target, the first law may regulate the heating efficiency as Grade 1, while the second law may regulate the heating efficiency as Grade 2. Alternatively, two or more energy-related pieces of information may be provided, for example, in the case of insulation materials, where the first law regulates the specifications of insulation materials, and the second law regulates the specifications and materials (materials) of insulation materials.

[0071] And when two or more pieces of energy-related information are confirmed, the diagnostic server (100) provides the user terminal (200) with an interface that allows the user to input whether to apply each of the two or more pieces of energy-related information, and when receiving an interaction from the user terminal (200) regarding the provided interface, the diagnostic server (100) can calculate the first reference value by applying the energy-related information determined based on the received interaction.

[0072] In step (S506), energy usage is collected and identified from the energy usage information storage (30). The actual energy usage collected at this time is energy usage over a set period. For example, the energy usage may be energy usage over the most recent month, energy usage over six months from the current date, or energy usage over one year from the current date.

[0073] In step (S507), the energy diagnosis server (100) compares the actual energy usage of the first address with the first reference value, calculates a difference value of (+) or (-) between the actual energy usage and the first reference value, and determines evaluation information on the energy usage of the first address with the calculated difference value. Here, the evaluation information on the energy usage can be determined as a level. For example, if the difference value is (+)1 to (+)10, it can be determined as (+)1 level, if the difference value is (+)11 to (+)20, it can be determined as (+)2 level, if the difference value is (-)1 to (-)10, it can be determined as (-)1 level, if the difference value is (-)11 to (-)20, it can be determined as (-)2 level. Here, the range of the difference value for each level can be arbitrarily set by the designer.

[0074] In step (S508), the processor (150) determines the evaluation information for the energy usage, i.e., the visual image corresponding to the level, and outputs the result information reflecting the determined visual image to the output unit (130) or / and the user terminal (200) by displaying it on the building at the first address on the map as shown in FIG. 9.

[0075] FIG. 6 is a flowchart of a method for determining evaluation information on energy usage at an address according to a second embodiment of the present invention, for the case where a generative AI (300) is used.

[0076] Referring to FIG. 6, in step (S601), the energy diagnosis server (100) checks the characteristic information for a specific address among the addresses of the set area, i.e., the first address, through the address characteristic information storage (10).

[0077] In step (S602), the energy diagnosis server (100) uses the characteristic information of the first address to generate a first API prompt requesting extraction of building-related laws related to the characteristic information of the first address.

[0078] In step (S603), the energy diagnosis server (100) provides a first API prompt to the generative AI (300) through API communication to request extraction of building-related laws related to the characteristic information of the first address.

[0079] In step (S604), the energy diagnosis server (100) receives building-related laws related to the characteristic information of the first address as a response corresponding to the first API prompt from the generative AI (300).

[0080] In step (S605), the energy diagnosis server (100) generates a second API prompt requesting the extraction of energy-related information for the first address. In step (S606), the energy diagnosis server (100) provides the building-related laws related to the characteristic information of the first address received in step S604, along with the second API prompt, to the generative AI (300) through API communication, thereby requesting the extraction of energy-related information.

[0081] In step (S607), the energy diagnosis server (100) receives energy-related information included in building-related laws related to the characteristic information of the first address as a response corresponding to the second API prompt from the generative AI (300).

[0082] Then, the energy diagnosis server (100) performs the aforementioned S504 to S508 processes.

[0083] Figure 7 is a flowchart illustrating a zero-energy building certification diagnosis method according to an embodiment of the present invention. Referring to Figure 7, in step (S701), the energy diagnosis server (100) verifies requirements for zero-energy building certification through the zero-energy information storage (20).

[0084] In step (S702), the energy diagnosis server (100) uses the building register of the address characteristic information storage (10) to determine the facility status of the building at the first address. In step (S703), the energy diagnosis server (100) compares the determined facility status of the building at the first address with the requirements for certification as a zero-energy building, determines the facilities that satisfy the requirements, and calculates the preparation cost for repair or replacement of the corresponding facilities.

[0085] In step (S704), the energy diagnosis server (100) checks the benefits (incentives) for zero-energy building certification through the zero-energy information storage (20), and in step (S705), determines the benefit cost according to the incentive, and compares the determined benefit cost with the preparation cost.

[0086] In step (S706), the energy diagnosis server (100) determines that it is a gain if the benefit cost is higher than the preparation cost, and determines that it is a loss if the benefit cost is lower than the preparation cost.

[0087] In step (S707), if the energy diagnosis server (100) determines that it is advantageous, it guides the user terminal (200) of the owner of the first address to proceed with the certification process for a zero-energy building, or notifies the output unit (130) of the progress of the certification process for a zero-energy building.

[0088] On the other hand, in step (S708), if the energy diagnosis server (100) determines that there is a loss, it guides the user terminal (200) of the owner of the first address to abandon the certification procedure for the zero-energy building, or notifies the output unit (130) of the abandonment of the certification of the zero-energy building.

[0089] FIG. 8 is a diagram illustrating a method for utilizing energy-related information when calculating a reference value according to an embodiment of the present invention. As illustrated in FIG. 8, the energy diagnosis server (100) may provide each piece of energy-related information confirmed through step S503 or step S607 to the user terminal (200) so that it may be displayed as a law matching interface on the screen of the user terminal (200).

[0090] The legal matching interface displayed on the screen for each energy-related information can be activated or deactivated by the user by clicking on the interface.

[0091] If a user activates a law matching interface, the energy-related information from the activated interface is input as a factor in calculating the change in baseline. Conversely, if the user deactivates a law matching interface, the energy-related information from the deactivated interface is excluded from the factor in calculating the change in baseline.

[0092] Accordingly, the energy diagnosis server (100) can calculate the amount of change in the reference value by using only the energy-related information activated by the user's selection, and can calculate the first reference value based on the activated energy-related information thus calculated.

[0093] The technical features disclosed in each embodiment of the present invention are not limited to that embodiment, and, unless they are mutually incompatible, the technical features disclosed in each embodiment may be combined and applied to different embodiments.

[0094] Therefore, although each embodiment focuses on its own technical features, each technical feature can be applied in combination with each other as long as they are not mutually incompatible.

[0095] The present invention is not limited to the above-described embodiments and the attached drawings, and various modifications and variations are possible within the scope of those skilled in the art. Therefore, the scope of the present invention should be defined not only by the claims of this specification but also by equivalents thereof.

Claims

1. In the method of determining the evaluation information on the energy usage of an address by the server, A step of verifying characteristic information for the above address; A step of confirming legal information related to a building at the above address using the characteristic information of the above address; A step of extracting energy-related information from the above legal information; A step of calculating a reference value for determining evaluation information on the energy usage based on the extracted energy-related information; A step of determining the current energy usage of the above address; A step of comparing the current energy usage of the address with the reference value to determine evaluation information on the energy usage of the address; and A method for determining evaluation information on energy usage of an address, comprising the step of providing result information in which a visual image based on the evaluation information is reflected on a map image including the address to a user terminal.

2. In paragraph 1, The steps for calculating the above criteria are: A step of providing an interface for inputting whether to apply each of the energy-related information to the user terminal; A step of receiving an interaction for the interface from the user terminal; and A method for determining evaluation information on energy usage at an address, comprising a step of calculating the reference value by applying energy-related information determined based on the above interaction.

3. In paragraph 1, The steps to check the legal information related to the above building are: A step of generating a first API prompt requesting the generative AI to extract laws and regulations related to the building at the above address; a step of providing the first API prompt to the generative AI; and A method for determining evaluation information on energy usage at an address, comprising the step of receiving legal information related to a building at the address from the generative AI.

4. In paragraph 1, The step of extracting the above energy-related information is A step of generating a second API prompt requesting the generative AI to extract the energy-related information from the information in the laws and regulations related to the building; a step of providing the second API prompt to the generative AI; and A method for determining evaluation information on energy usage at an address, comprising the step of receiving energy-related information from the generative AI.

5. In paragraph 1, The steps for calculating the above criteria are: A method for determining assessment information on energy usage at an address, comprising the step of determining whether two or more energy-related information for the same object exists in two or more different pieces of legal information.

6. In paragraph 5, In the step of confirming the existence, if two or more pieces of energy-related information are confirmed, a step of generating common energy-related information that satisfies both pieces of energy-related information; and A method for determining evaluation information on energy usage at an address, comprising the step of calculating a reference value for determining evaluation information on energy usage based on the common energy-related information.

7. In paragraph 5, In the step of confirming the existence, if two or more pieces of energy-related information are confirmed, a step of providing an interface for inputting whether to apply each of the two or more pieces of energy-related information; A step of receiving an interaction for the interface from the user terminal; and A method for determining evaluation information on energy usage at an address, comprising a step of calculating the reference value by applying energy-related information determined based on the above interaction.

8. In paragraph 1, A step for verifying the requirements for authentication for the above address; Step of identifying the current status of the building at the above address; A step of calculating the cost to satisfy the requirements for the above certification compared to the above status; A step of verifying incentives for obtaining the above certification; and A method for determining evaluation information on energy usage at an address, comprising the step of comparing the above cost and the above incentive to determine whether to proceed with the procedure for the above certification.

9. In paragraph 8, A step of providing result information in which an additional visual image is reflected based on whether the procedure for authentication is in progress on a map image containing the address on the user terminal, A method for determining evaluation information on energy usage of an address, wherein the above visual image and the above additional visual image have different classification criteria.

10. In a server that determines evaluation information on energy usage at an address, memory; A communication unit that performs wired or wireless network communication with the user terminal and each storage; and A processor connected to the memory and the communication unit and configured to execute instructions included in the memory, The above processor, A step of verifying characteristic information for the above address; A step of confirming legal information related to a building at the above address using the characteristic information of the above address; A step of extracting energy-related information from the above legal information; A step of calculating a reference value for determining evaluation information on the energy usage based on the extracted energy-related information; A step of determining the current energy usage of the above address; A step of comparing the current energy usage of the address with the reference value to determine evaluation information on the energy usage of the address; and A server for determining evaluation information on energy usage of an address, configured to perform a step of providing result information in which a visual image based on the evaluation information is reflected on a map image including the address to a user terminal.

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