Eco-friendly building credit calculation system

Abstract

The present invention relates to an eco-friendly building credit calculation system implemented to predict building construction costs reflecting building energy efficiency according to building specifications, comprising: a building database server that receives at least one building specification from at least one building, receives it from the construction company or building owner of the building at the time of construction, and stores it in a database; a user terminal that receives big data information reflecting the building specification, administrative district associated with the administrative address, and surrounding environment from the building database server; and a credit calculation server that estimates the LEED (Leadership in Energy and Environmental Design) credit score and the construction cost of the building through big data analysis based on the building specification received from the user terminal.

Description

Technology Field

[0001] The embodiments relate to an eco-friendly building credit calculation system, and more specifically, to an eco-friendly building credit calculation system implemented to predict building construction costs by reflecting building energy efficiency according to building specifications. Background Technology

[0003] LEED (Leadership in Energy and Environmental Design) is an eco-friendly building certification system applicable to all building types, such as housing, community developments, commercial interiors, new construction, Core & Shell, schools, medical institutions, and shops, and applicable to all stages of the building's lifecycle, including design, construction, and operation.

[0004] There are various types of LEED depending on the building type, and to obtain LEED certification, you can choose by each building type or select a certification method based on space usage and area.

[0005] Energy consumption in the building sector in Korea accounts for approximately 24% of total energy consumption and is increasing significantly every year.

[0006] Accordingly, various architectural and equipment planning methods are being introduced and applied to reduce energy consumption in buildings.

[0007] Architectural energy efficiency improvement methods based on high-insulation / high-performance building envelope technology, airtight design technology, low-energy building materials technology, and high-efficiency heat source equipment technology can calculate the energy savings resulting from their introduction with relative accuracy, but they have the limitation of being passive energy saving methods.

[0008] On the other hand, active building energy saving methods, which reduce building energy consumption by actively optimizing equipment control and integrally managing energy usage through BAS (Building Automation System) / BEMS (Building Energy Management System), have the advantage of being able to continuously reduce building energy consumption.

[0009] However, there is a problem in that it is difficult to accurately predict the energy saving effects resulting from the introduction and operation of BAS / BEMS, as the types of energy saving control methods performed through BAS / BEMS systems vary from system to system, and even for the same system, the performance during operation varies depending on the building environment in which it is operated.

[0010] Meanwhile, the aforementioned background technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and it cannot necessarily be considered publicly known technology disclosed to the general public prior to the filing of the present invention. Prior art literature

[0012] Korean Patent Publication No. 10-2018-0059729 (Published June 5, 2018) Korean Patent Publication No. 10-2023-0089672 (Published June 21, 2023) The problem to be solved

[0013] One aspect of the present invention provides an eco-friendly building credit calculation system that can predict building construction costs reflecting building energy efficiency according to building specifications by estimating the LEED (Leadership in Energy and Environmental Design) credit score and the construction cost of the building through big data analysis based on building specifications.

[0014] The problem to be solved by this specification is not limited to what is described above and can be extended to various matters that can be derived from the embodiments of the invention described below. means of solving the problem

[0016] An eco-friendly building credit calculation system according to one embodiment of the present invention includes: a user terminal that receives big data information reflecting the administrative district and surrounding environment associated with the building specifications and administrative address from a building database server that receives at least one building specification from at least one building, receives it from the construction company or building owner of the building at the time of construction, and stores it in a database; and a credit calculation server that estimates the LEED (Leadership in Energy and Environmental Design) credit score and the construction cost of the building through big data analysis based on the building specifications received from the user terminal.

[0017] In one embodiment, an eco-friendly building credit calculation system according to another embodiment of the present invention may further include an environmental measurement device installed at a location where LEED credit scores and construction costs are to be estimated, and which provides environmental information measured by height to a credit calculation server.

[0018] In one embodiment, the credit calculation server can estimate the LEED credit score and the construction cost of the building by additionally considering environmental information by height of the location where the building is to be constructed, received from an environmental measurement device during big data analysis.

[0019] In one embodiment, a credit calculation server according to another embodiment of the present invention may further include a first artificial intelligence that derives a first LEED credit score as an output with building specification information, environmental measurement information, big data information and other information as inputs, a second artificial intelligence that derives a second LEED credit score and energy saving information as an output with building energy consumption source information, energy saving content information, the first LEED credit score derived as an output of the first artificial intelligence and other information as inputs, and a third artificial intelligence that derives building estimated price information with the second LEED credit score, target level information, building specification information and other information as inputs, specification information, environmental measurement information, big data information and other information as inputs.

[0020] In one embodiment, a credit calculation server according to another embodiment of the present invention is equipped with an integrated artificial intelligence including a first artificial intelligence, a second artificial intelligence, and a third artificial intelligence, and the integrated artificial intelligence can automatically derive target level information, second LEED credit score information, and building estimated price information as output information by performing inference with building specification information, environmental measurement information, big data information, building energy consumption source information, and energy saving content information as inputs.

[0021] In one embodiment, the environmental measuring device may include a mounting wire that is suspended in the air to prevent a balloon, which is filled with a gas lighter than air and floats in the air, from flying away, and a plurality of measuring modules installed at regular heights along the mounting wire to measure environmental information at the height at which they are installed.

[0022] In one embodiment, the measurement module is formed in the shape of a polygonal column with all sides open, and is installed on the side of a floating frame that is floated in the air after a mounting wire is inserted vertically along the inner center and measures environmental information to be provided to a credit calculation server; and may include an upward induction unit connected to each upper side of the floating frame and configured to induce the upward movement of the floating frame or vary the position of the floating frame in the air.

[0023] In one embodiment, the measurement sensor may consist of at least one of an altitude sensor, an illuminance sensor, a temperature sensor, a humidity sensor, and a wind direction and speed weather sensor.

[0024] In one embodiment, the lifting induction unit may include: a rotating panel formed in the shape of a flat plate and connected to the upper side of a floating frame so as to be rotatably driven; an installation opening formed by penetrating the rotating panel in the shape of a disc; a driving ring formed in the shape of a circular ring corresponding to the shape of the installation opening and connected to the installation opening so as to be rotatably engaged; a driving gear installed to be rotatably driven on one side of the installation opening and connected by engaging with gear teeth installed along the outer surface of the driving ring through gear coupling, and rotating in a forward or reverse direction to rotate the driving ring; and a plurality of propellers installed at regular intervals along the inner surface of the driving ring and rotating together as the driving ring rotates to induce an upward thrust.

[0025] In one embodiment, the propeller comprises: an installation block installed on the inner circumference of a drive ring; an installation groove formed hollowly on the inner side of the installation block while forming an opening into the inner side of the drive ring; a first blade rotatably connected and installed on one side of the entrance of the installation groove, with a side surface that comes into contact with the inner circumference of the drive ring formed to be rounded in correspondence with the shape of the inner circumference of the drive ring; a second electromagnet installed on the other side of the entrance of the installation groove opposite to the first blade, with a side surface that comes into contact with the inner circumference of the drive ring formed to be rounded in correspondence with the shape of the inner circumference of the drive ring, and which engages with the first blade that is positioned upright at a right angle to the inner circumference of the drive ring when positioned upright at a right angle to the inner circumference of the drive ring, and a first electromagnet installed on one side of the installation groove where the rear end of the second blade is positioned and which is positioned in the installation groove where the rear end of the second blade is positioned. A switching device for individually switching the polarity of a first electromagnet and a second electromagnet; a first driving magnetic body installed at the rear end of a first blade that is seated in close contact with the first electromagnet, which causes the first blade to be seated in close contact with the inner surface of the driving ring as it moves away from the first electromagnet when the first electromagnet forms the same magnetism, and which causes the first blade to be seated in close contact with the inner surface of the driving ring as it attaches to the first electromagnet when the first electromagnet forms the opposite magnetism, thereby causing the first blade to be seated in close contact with the inner surface of the driving ring after moving away from the inner surface of the driving ring, and which can include a second driving magnetic body installed at the rear end of a second blade that is seated in close contact with the second electromagnet, which causes the second blade to be seated in close contact with the inner surface of the driving ring as it moves away from the second electromagnet when the second electromagnet forms the same magnetism, and which causes the second blade to be seated in close contact with the inner surface of the driving ring after it attaches to the second electromagnet when the second electromagnet forms the opposite magnetism.

[0026] In one embodiment, the first blade is rotatably connected and installed at one side of the entrance of the installation groove and is formed with a left-right symmetrical structure with respect to the second blade, and the blade body is formed such that one side in contact with the inner circumference of the driving ring is formed with a curved surface that is rounded in correspondence with the shape of the inner circumference of the driving ring, the front side in contact with the second blade is formed with a straight surface in a straight shape, the rear side where the first driving magnetic body is installed is formed to be parallel to the front side, and when the front curved surface is in contact with the inner circumference of the driving ring, the rear side in contact with the second blade is formed to be arranged perpendicular to the inner circumference of the driving ring; the blade body may include: a first fastening magnetic body installed on the front curved surface of the blade body; a second fastening magnetic body installed on the inner circumference of the driving ring facing the first fastening magnetic body while forming opposite polarity to the first fastening magnetic body; and a third fastening magnetic body installed on the front straight surface of the blade body, which fastens the second blade using magnetism when the blade body and the second blade are in contact. Effects of the invention

[0028] According to one aspect of the present invention described above, by estimating the LEED (Leadership in Energy and Environmental Design) credit score and the construction cost of the building through big data analysis based on building specifications, it is possible to predict the building construction cost that reflects the building energy efficiency according to the building specifications.

[0029] It should be understood that the effects of this specification are not limited to the matters described above and can be extended to various contents that can be derived from the detailed description of the embodiments of the invention below. Brief explanation of the drawing

[0031] FIG. 1 is a drawing showing an eco-friendly building credit calculation system according to one embodiment of the present invention. FIG. 2 is a drawing showing an eco-friendly building credit calculation system according to another embodiment of the present invention. Figure 3 is a drawing showing the environmental measuring device of Figure 2. Figure 4 is a diagram showing the LEED credit calculation method. Figure 5 is a diagram showing the method for calculating the LEED target level and determining the final price of a building. Figure 6 is a diagram illustrating a method for deriving an integrated artificial intelligence-based building estimated price. Figures 7 and 8 are drawings showing the rising induction section of Figure 2. Figures 9 and 10 are drawings showing the propeller of Figure 7. Specific details for implementing the invention

[0032] In describing the embodiments of this specification, if it is determined that a detailed description of known configurations or functions could obscure the essence of the embodiments of this specification, such detailed description is omitted. Additionally, parts of the drawings unrelated to the description of the embodiments of this specification have been omitted, and similar parts are denoted by similar reference numerals.

[0033] In the embodiments of this specification, when a component is described as being "connected," "combined," or "joined" with another component, this may include not only a direct connection but also an indirect connection in which another component exists in between. Furthermore, when a component is described as "comprising" or "having" another component, this means that, unless specifically stated otherwise, it does not exclude the other component but may include additional components.

[0034] In the embodiments of this specification, terms such as first, second, etc. are used solely for the purpose of distinguishing one component from another component and do not limit the order or importance of the components unless specifically stated otherwise. Accordingly, within the scope of the embodiments of this specification, the first component in an embodiment may be referred to as the second component in another embodiment, and likewise, the second component in an embodiment may be referred to as the first component in another embodiment.

[0035] In the embodiments of this specification, distinct components are intended to clearly explain their respective features and do not imply that the components are necessarily separated. That is, multiple components may be integrated to form a single hardware or software unit, or a single component may be distributed to form multiple hardware or software units. Therefore, such integrated or distributed embodiments are included within the scope of the embodiments of this specification, even if not otherwise mentioned.

[0036] In this specification, the term "network" may encompass both wired and wireless networks. In this context, the network may refer to a communication network where data exchange between devices, systems, and devices can be performed, and is not limited to a specific network.

[0037] The embodiments described herein may have aspects that are entirely hardware, partially hardware and partially software, or entirely software. In this specification, terms such as “unit,” “device,” or “system” refer to computer-related entities, such as hardware, a combination of hardware and software, or software. For example, in this specification, a unit, module, device, or system, etc., may be, but are not limited to, a running process, processor, object, executable, thread of execution, program, and / or computer. For example, both an application running on a computer and the computer may correspond to a unit, module, device, or system, etc., in this specification.

[0038] Furthermore, in this specification, the term "device" may refer not only to mobile devices such as smartphones, tablet PCs, wearable devices, and Head Mounted Displays (HMDs), but also to fixed devices such as PCs or home appliances equipped with display functions. Additionally, as an example, the term "device" may refer to an in-vehicle cluster or an IoT (Internet of Things) device. In other words, in this specification, the term "device" may refer to any device capable of running an application and is not limited to a specific type. For convenience of explanation, the term "device" is used below to refer to a device on which an application runs.

[0039] In this specification, the communication method of the network is not limited, and connections between each component may not be connected using the same network method. The network may include not only communication methods utilizing communication networks (e.g., mobile communication networks, wired internet, wireless internet, broadcasting networks, satellite networks, etc.) but also short-range wireless communication between devices. For example, the network may include any communication method that allows objects to network with each other and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or any other method. For example, wired and / or networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed ​​Downlink Packet Access (HSDPA), Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, Wireless MAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) It may refer to a communication network based on one or more communication methods selected from the group consisting of systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access) and ultrasonic communication, but is not limited thereto.

[0040] The components described in the various embodiments do not necessarily mean essential components, and some may be optional components. Accordingly, embodiments consisting of a subset of the components described in the embodiments are also included within the scope of the embodiments of this specification. Furthermore, embodiments including other components in addition to the components described in the various embodiments are also included within the scope of the embodiments of this specification.

[0041] Hereinafter, embodiments of the present specification will be examined in detail with reference to the drawings.

[0042] FIG. 1 is a drawing showing an eco-friendly building credit calculation system according to one embodiment of the present invention.

[0043] Referring to FIG. 1, an eco-friendly building credit calculation system (10) according to one embodiment of the present invention includes a building database server (100), a user terminal (200), and a credit calculation server (300).

[0044] The building database server (100) stores at least one building specification received from at least one building by receiving it from the construction company or building owner of the building at the time of construction and storing it in a database.

[0045] The user terminal (200) receives big data information from the building database server (100) that reflects the specifications of the building, the administrative district associated with the administrative address, and the surrounding environment.

[0046] Here, the user terminal (200) may be composed of one or more devices and is a broad concept meaning various types of information communication devices and multimedia devices that support wired and wireless networks, such as desktop computers (PCs), as well as mobile communication devices widely used by the general public, such as notebooks, smartphones, and tablet PCs.

[0047] And, the network (N) may include, for example, wireless communication, wired communication, optical ultrasound, or a combination thereof. BAN (Body Area Network), satellite communication, cellular communication, Bluetooth, NFC (Near Field Communication), IrDA (Infrared Data Association standard), WiFi (Wireless Fidelity), and WiMAX (Worldwide Interoperability for Microwave access) are examples of wireless communication that may be included in the communication path, and Ethernet, DSL (Digital Subscriber Line), FTTH (Fiber to the Home), and POTS (Plain Old Telephone Service) are examples of wired communication that may be included in the communication network. Additionally, the communication network may traverse multiple network topologies and distances. For example, the communication network may include a direct connection, PAN (Personal Area Network), LAN (Local Area Network), MAN (Metropolitan Area Network), WAN (Wide Area Network), or any combination thereof. In addition, it may be implemented through a Low Power Wide Area Network including LoRaWAN, NB-Fi, and RPMA. However, regarding the network (N), the description of the communication network is not limited to the communication network described above, and any modern data communication network may be applied.

[0048] The credit calculation server (300) estimates the LEED (Leadership in Energy and Environmental Design) credit score and the construction cost of the building through big data analysis based on the building specifications received from the user terminal (200).

[0049] Here, LEED (Leadership in Energy and Environmental Design) refers to an eco-friendly building certification system applicable to all building types, namely residential, community development, commercial interior, new construction, Core & Shell, schools, medical institutions, and shops, and applicable to all stages of the building's lifecycle, such as design, construction, and operation.

[0050] There are various types of LEED depending on the building type, and to obtain LEED certification, you can choose by each building type or select a certification method based on space usage and area.

[0051] In one embodiment, the credit calculation server (300) can receive building specifications including an administrative address, use, number of floors, and total floor area from a user terminal (200) and store them in the building database server (100).

[0052] In one embodiment, the credit calculation server (300) can estimate a first LEED credit score through big data analysis by reflecting the administrative district and surrounding environment associated with the building specifications and administrative address.

[0053] In one embodiment, the credit calculation server (300) can determine the energy saving rate based on probability according to reliability theory by determining the building energy consumption source according to the building specifications and the heating and cooling equipment according to the building specifications and the energy checklist.

[0054] Here, the energy checklist refers to various building facilities including the thermal transmittance, lighting, systems, cooling equipment, heating equipment, or other equipment of the building in question, and the energy saving rate can be evaluated by calculating the energy consumption for each household and unit of the applicant housing, as well as the energy consumption for standard housing.

[0055] At this time, the credit calculation server (300) can calculate the total energy cost according to the determined energy saving rate.

[0056] In one embodiment, the credit calculation server (300) can calculate an Energy and Atmosphere (EA) score based on the energy saving rate and determine a second LEED credit score corresponding to the LEED target level and the minimum score based on the LEED target level.

[0057] Here, the EA score refers to the evaluation score for energy and atmosphere.

[0058] In one embodiment, the credit calculation server (300) can determine a third LEED credit score according to the building specifications based on big data regarding each building specification and calculate the difference between the second and third LEED credit scores to calculate a second LEED credit score.

[0059] Here, the third LEED credit score refers to the LEED credit score determined according to the building specifications based on big data for each building specification stored in the building database server (100).

[0060] In one embodiment, the credit calculation server (300) can calculate the difference between the first and second LEED credit scores to determine the required score according to the LEED target level.

[0061] In one embodiment, the credit calculation server (300) determines whether the required score determined as described above is 0 or less.

[0062] For example, if the required score exceeds 0, the process of recalculating the second LEED credit score can be controlled to be performed repeatedly until the required score becomes 0 or less.

[0063] If the required score is 0 or less, the second LEED credit determination process and the required score determination process can be controlled so that they are no longer performed.

[0064] At this time, the total energy score and LEED level for the building can be set during the second LEED credit score determination and required score determination process.

[0065] In one embodiment, the credit calculation server (300) can calculate the total energy cost based on the calculated energy saving rate, the total payback, and the payback period.

[0066] That is, the credit calculation server (300) determines whether the determined second LEED credit score is the same as the pre-set second LEED credit score based on the total additional construction costs, total payback, LEED level determination and payback period.

[0067] In this case, if the second LEED credit scores are identical, the building specifications based on the LEED target level and the estimated price based on the building specifications can be finally determined.

[0068] If the second LEED credit score is different, the second LEED credit score and the required score are recalculated to finally determine the estimated price for building construction.

[0069] As a result, the eco-friendly building credit calculation system (10) according to one embodiment of the present invention can more easily predict building construction costs that reflect building energy efficiency according to building specifications, predict additional building construction costs that can improve building energy efficiency ratings through big data analysis reflecting building specifications, and thus build buildings more efficiently, determine building energy consumption sources according to building specifications and energy checklists, and more efficiently determine energy saving rates and LEED credit scores according to probability based on reliability theory.

[0071] FIG. 2 is a drawing showing an eco-friendly building credit calculation system according to another embodiment of the present invention.

[0072] Referring to FIG. 2, an eco-friendly building credit calculation system (20) according to another embodiment of the present invention includes a building database server (100), a user terminal (200), a credit calculation server (300), and an environmental measurement device (400).

[0073] Here, the building database server (100), user terminal (200), and credit calculation server (300) are identical to the components of FIG. 1, so their descriptions will be omitted to avoid duplication of descriptions.

[0074] An environmental measuring device (400) is installed at a location where the LEED credit score and construction costs are to be estimated, measures environmental information (e.g., altitude information, illuminance information, temperature information, humidity information, and wind direction and speed weather information, etc.) by height, and then provides it to a credit calculation server (300).

[0075] In one embodiment, the credit calculation server (300) can estimate the LEED credit score and the construction cost of the building by additionally considering the environmental information by height of the place where the building is to be constructed, which is received from the environmental measurement device (400) during big data analysis.

[0076] In one embodiment, the environment measuring device (400) may include a balloon (410), a mounting wire (420), and a plurality of measuring modules (430-1 to 430-N).

[0077] The balloon (410) is filled with a gas lighter than air, such as helium gas or hydrogen gas, and floats in the air and is supported by a mounting wire (420).

[0078] The mounting wire (420) is mounted in the air to prevent the balloon (410) from flying away.

[0079] A plurality of measurement modules (430-1 to 430-N) are installed at regular heights (e.g., every 5m to 10m, etc.) along the mounting wire (420) to measure environmental information at the height at which they are installed, and then transmit the measured environmental information to the credit calculation server (300) via the network (N) using a communication module (not shown in the drawing for convenience of explanation) that they have provided themselves.

[0080] An eco-friendly building credit calculation system (20) according to another embodiment of the present invention having the configuration described above can calculate construction costs more objectively and effectively by considering various environmental factors at the location where the building is installed when calculating construction costs.

[0081] Figure 3 is a drawing showing the measurement module of Figure 2.

[0082] Referring to FIG. 3, the measurement module (430) includes a floating frame (431), at least one type of measurement sensor (432-1 to 432-N) and a rising induction unit (500).

[0083] The floating frame (431) is formed in the shape of a polygonal column with all sides open, and is equipped with components such as at least one type of measuring sensor (432-1 to 432-N) and a rising guide (500), and is installed so that a mounting wire (420) is inserted through the inner center in the vertical direction and is then installed to be floated in the air.

[0084] Here, the floating frame (431) is not limited to a triangular prism shape as shown in FIG. 3, and any polygonal prism shape can be applied without being restricted by its name.

[0085] At least one type of measurement sensor (432-1 to 432-N) is installed on the side of the floating frame (431) and measures environmental information to be provided to the credit calculation server (300).

[0086] In one embodiment, the measurement sensor (432) may consist of at least one of an altitude sensor, an illuminance sensor, a temperature sensor, a humidity sensor, and a wind direction / wind speed weather sensor, and any sensing device capable of measuring other environmental factors may be applied without being restricted by its name.

[0087] The rising induction unit (500) is connected to each upper side of the floating frame (431) and induces the rising of the floating frame (431) or varies the position of the floating frame (431) in the air.

[0088] The measurement module (430) having the configuration described above can be configured to continuously float in the air using the ascent guide (500) even when the balloon (410) alone is insufficient for buoyancy, and also to enable the buoyancy frame (431) to move in the up and down or horizontal direction in the air using the ascent guide (500) to acquire sensing information using the measurement sensor (432) at a specific location.

[0090] FIG. 4 is a diagram illustrating a method for calculating LEED credits. Referring to FIG. 4, a credit calculation server (300) connected to a user terminal (200) can obtain building specification information including an administrative address, use, number of floors, and total floor area from the user terminal (200). (S401) Afterwards, the credit calculation server (300) can estimate a first LEED credit score through big data analysis of building specifications that are stored in a building database, which are building specifications that were previously stored in a building database by a construction company or building owner during building construction, or building specifications obtained during the building completion permit review by a district office or relevant government agency, by reflecting the administrative district and surrounding environment associated with the building specifications and the administrative address. (S402) Afterwards, the credit calculation server (300) can determine the building energy consumption source through a heating and cooling system and an energy checklist based on the building specifications. Here, for each energy consumption source, the energy saving rate can be determined according to the probability based on reliability theory. (S403) For example, the energy saving rate is evaluated by calculating the energy consumption of each household and unit of the applicant housing and the energy consumption for a standard housing, and can be determined based on the following Equation 1. For example, in Equation 1 is the energy saving rate of a unit multi-family dwelling, and is the total exclusive area of ​​the unit multi-unit housing, and is the total exclusive area of ​​the housing for application, and TESR(r) may mean the energy saving rate.

[0091] [Mathematical Formula 1]

[0092]

[0094] After that, the credit calculation server (300) can determine a second LEED credit score by calculating an EA score based on the energy saving rate (S404). Here, the second LEED credit score may correspond to the minimum score of the determined LEED target level. After that, the credit calculation server (300) can determine a required score based on the difference between the first and second LEED credit scores (S405). For example, the required score may be the score required to reach the determined LEED target level as described above. For example, the required score may be determined based on the following mathematical formula 2.

[0095] [Mathematical Formula 2]

[0096]

[0098] In Mathematical Formula 2, LC(x) is the first LEED credit score calculated through big data by reflecting the administrative district and surrounding environment associated with the building specifications and administrative address, and LC(y) may be the second LEED credit score corresponding to the minimum score according to the LEED objective. In addition, is the minimum score based on the LEED target level, and EA(t) is the EA score based on the energy saving rate, and The required score may be as described above, but is not limited thereto.

[0099] After that, the credit calculation server (300) can determine energy savings for each building energy consumption source. Here, the energy savings rate and EA score may differ through energy savings for each building energy consumption source. After that, the credit calculation server (300) can recalculate the second LEED credit score based on the energy savings to update the required score, and can repeat the process described above until the required score becomes 0 or less. (S406) After that, the credit calculation server (300) can determine the building specifications according to the LEED target level and the estimated price according to the building specifications. (S407)

[0100] For example, the estimated price based on building specifications can be determined by analyzing big data regarding building specifications to calculate the total payback, which is the sum of the water payback calculated through the water credit score and the energy payback derived through the energy saving rate, and by dividing the total additional construction costs by the total payback to determine the payback period. Here, based on the total additional construction costs, total payback, LEED level, and payback period, the building specifications according to the LEED target level and the estimated price based on the building specifications can be finally determined by comparing them with a pre-set LEED credit score.

[0101] Here, for example, as described above, separate calculation processes may be required to finally determine building specifications and the resulting estimated price according to the LEED target level. However, the information reflected in the aforementioned calculation processes may be closely related to one another, and a method for processing them in an integrated manner may be necessary. Considering the above, a method for parameterizing building specifications and calculating the estimated price according to the LEED target level through more specific factors is described. For example, artificial intelligence (AI) and machine learning (ML) technologies may be applied for this purpose, but are not limited to these.

[0102] FIG. 5 is a diagram illustrating a method for calculating a LEED target level and determining the final price of a building. Referring to FIG. 5, a first LEED credit score can be calculated through building specification information, environmental measurement information, and big data information. Here, as an example, the first LEED credit score can be performed by a first artificial intelligence (610). Here, the first artificial intelligence (610) may be equipped with a learning model that is learned based on a plurality of building specification information, surrounding environment information, big data information, and other information. As an example, the learning model may be a learning model that has completed learning based on previously derived LEED credit score information, and is not limited to a specific embodiment. Subsequently, building specification information, environmental measurement information, and big data information are provided as input to the first artificial intelligence (610), and after performing inference based on parameters set within the first artificial intelligence (610), the first LEED credit score may be derived as output. Here, the building specification information may be information obtained as described above. For example, the parameters set within the first artificial intelligence (610) may be parameters set by reflecting each building specification. As a more specific example, features related to the total floor area, building height, number of floors, and other building characteristics may be set as a single parameter, and weights may be set differently for each parameter. Also, for example, the environmental measurement information may be environmental information measured through the environmental measurement device (400) of FIGS. 2 and FIGS. 3. That is, it may be information measured in relation to the calculation of LEED credits, and this may be as shown in FIGS. 2 and FIGS. 3. Here, parameters related to each environmental measurement information may be set within the first artificial intelligence (610). In addition, big data information related to the building may be data acquired from the outside and accumulated information related to the building, and is not limited to a specific form.The first artificial intelligence (610) can automatically calculate the first LEED credit score through the information described above, and can increase its accuracy through a learning model for the existing LEED credit score calculation method. After the first LEED credit score is calculated, the second LEED credit score can be calculated through the second artificial intelligence (620) based on information regarding building energy consumption sources and energy saving content. For example, the second artificial intelligence (620) may be equipped with a learning model that is learned based on building energy consumption source information, first LEED credit score information, and information related to energy saving. For example, the learning model may be a learning model that has completed learning based on the second credit score calculation information, with a previously derived target level and a minimum score corresponding to the target level. Here, the second artificial intelligence (620) may be trained by reflecting the reliability theory described above. Additionally, the second artificial intelligence (620) can perform learning based on variables for each of mathematical formulas 1 and 2, and can operate by setting weights for each parameter based on this. As a specific example, the second artificial intelligence (620) can calculate an EA score based on the building's energy consumption source and energy saving content, derive a second LEED credit score, and set parameters for each operation of comparing the required score. That is, since the second artificial intelligence (620) is set based on the learned parameters for each of the aforementioned operations, it is possible to calculate the target level and the second LEED credit score according to the target level without repeatedly performing the process of updating the required score. As an example, the second artificial intelligence (620) can derive the second LEED credit score by performing inference with the first LEED credit score derived from the first artificial intelligence (610), building energy consumption source information, and energy saving content information as input.Here, for example, the second artificial intelligence (620) can derive energy saving content information as output, and this information can be fed back to the second artificial intelligence (620) learning model. Through the above description, the second artificial intelligence (620) can derive energy saving content information that must be set based on the building energy consumption source, along with the target level and the second LEED credit score information.

[0103] Afterward, the second LEED credit score can be provided as input to the third artificial intelligence (630). Here, the third artificial intelligence (630) may be equipped with a learning model that is learned based on the building's estimated price according to the building's specification-based target level, and may derive the building's estimated price through the second LEED credit score. As a specific example, the third artificial intelligence (630) may calculate a credit score for a configuration related to the building's specifications, determine the payback accordingly, and set the information as a parameter. Additionally, it may determine the total payback by summing the energy payback derived from the energy saving rate, and set the payback period as a parameter by dividing the total additional construction cost by the total payback. Furthermore, the third artificial intelligence (630) may set parameters for the total additional construction cost, total payback, LEED level, and payback period, and assign weights to each. As described above, the third artificial intelligence (630) can perform inference with the second LEED credit score, building specification information, target level information and other information as input to derive the building estimate price as output.

[0104] Here, as an example, FIG. 6 is a diagram illustrating a method for deriving an estimated building price based on integrated artificial intelligence. Referring to FIG. 6, the aforementioned first artificial intelligence (610), second artificial intelligence (620), and third artificial intelligence (630) can be configured and operated as a single integrated artificial intelligence (600). That is, the credit calculation server (300) can derive output information by performing inference by providing building-related information and LEED credit-related information, respectively, as input information. As a more specific example, the integrated artificial intelligence (600) may receive building specification information, environmental measurement information, big data information, building energy consumption source information, and energy saving content information as input. Additionally, the integrated artificial intelligence (600) may acquire other building-related information, but is not limited thereto. After that, the integrated artificial intelligence (600) can derive output information such as a target level, a second LEED credit score based on the target level, and building price estimation information based thereon, based on the first artificial intelligence (610), the second artificial intelligence (620), and the third artificial intelligence (630) described above. That is, the repetition of a series of operations for building price estimation can be omitted through the method of FIG. 6. In addition, since the operation is performed through an artificial intelligence-based learning model, the accuracy of the estimated price can be improved.

[0105] In addition, as an additional example, FIGS. 7 and FIGS. 8 are drawings showing the rising induction section of FIGS. 2.

[0106] Referring to FIGS. 7 and 8, the rising guide (500) includes a rotating panel (510), an installation opening (520), a driving ring (530), a driving gear (540), and a plurality of propellers (550).

[0107] The rotation panel (510) is formed in the shape of a flat plate and is connected to the upper side of the floating frame (431) to enable rotational driving, and is equipped with components such as an installation opening (520), a driving ring (530), a driving gear (540), and a plurality of propellers (550).

[0108] The installation opening (520) is formed by penetrating the rotation panel (510) in a disc shape so that the driving ring (530) can be connected and installed to be engaged and rotatable.

[0109] The driving ring (530) is formed in the shape of a circular ring corresponding to the shape of the installation opening (520) and is connected to the installation opening (520) so as to be rotatable, and is driven by a driving gear (540).

[0110] The drive gear (540) is installed on one side of the installation opening (520) to enable rotational driving, and is connected by engaging with the gear teeth installed along the outer surface of the drive ring (530) through gear coupling, and rotates in a forward or reverse direction to rotate the drive ring (530).

[0111] Multiple propellers (550) are installed at regular intervals along the inner surface of the drive ring (530), and rotate together as the drive ring (530) rotates to induce upward thrust.

[0112] The rising induction unit (500) having the configuration described above can not only allow the balloon (410) to be continuously lifted in the air even when the lifting force is insufficient with only the balloon (410), but also control the lifting frame (431) to move in the air in a vertical, horizontal, or inclined direction by adjusting the connection angle of the rotating panel (510).

[0113] Figures 9 and 10 are drawings showing the propeller of Figure 7.

[0114] Referring to FIGS. 9 and 10, the propeller (550) includes an installation block (551), an installation groove (552), a first blade (553), a second blade (554), a first electromagnet (555), a second electromagnet (556), a switching device (557), a first driving magnetic body (558), and a second driving magnetic body (559).

[0115] The installation block (551) is installed on the inner surface of the drive ring (530).

[0116] The installation groove (552) is formed hollowly on the inner side of the installation block (551) while forming an opening on the inner side of the driving ring (530).

[0117] The first blade (553) is rotatably connected and installed at one side of the entrance of the installation groove (552), and the side surface (5531a) that is in close contact with the inner circumference of the driving ring (530) is formed to be rounded to correspond to the shape of the inner circumference of the driving ring (530).

[0118] In one embodiment, the first blade (553) may include a blade body (5531), a first fastening magnetic body (5532), a second fastening magnetic body (5533), and a third fastening magnetic body (5534).

[0119] The blade body (5531) is rotatably connected and installed on one side of the entrance of the installation groove (552) and is formed with a left-right symmetrical structure with the second blade (554). A curved surface (5531a) is formed so that one side in contact with the inner circumference of the driving ring (530) is rounded to correspond to the shape of the inner circumference of the driving ring (530), and the front side in contact with the second blade (554) is formed as a straight surface (5531b) in a straight shape. A rear side (5531c) where the first driving magnetic body (558) is installed is formed to be parallel to the front side (i.e., the straight surface (5531b)). As shown in FIG. 6, when the front curved surface (5531a) is in contact with the inner circumference of the driving ring (530), the rear side (5531d) in contact with the second blade (554) is positioned perpendicular to the inner circumference of the driving ring (530). It is formed.

[0120] The first fastening magnetic body (5532) is installed on the shear curved surface (5531a) of the blade body (5531) so that it can be attached to the second fastening magnetic body (5533).

[0121] The second fastening magnetic body (5533) is installed on the inner surface of the driving ring (530) facing the first fastening magnetic body (5532) while forming opposite polarity to the first fastening magnetic body (5532).

[0122] The third connecting magnetic body (5534) is installed on the front straight surface (5531b) of the blade body (5531), and when the blade body (5531) and the second blade (554) are in close contact, the second blade (554) is connected using magnetism so that when the first electromagnet (555) and the first driving magnetic body (558) form the same polarity, the blade body (5531) is maintained in a state attached to the inner surface of the driving ring (530). When the first electromagnet (555) and the first driving magnetic body (558) form opposite polarities, the connection with the second connecting magnetic body (5533) is released by the attractive force of the first electromagnet (555) pulling the first driving magnetic body (558), so that the blade body (5531) is separated from the inner surface of the driving ring (530).

[0123] The second blade (554) is rotatably connected and installed on the other side of the entrance of the installation groove (552) while facing the first blade (553), and the side surface that comes into contact with the inner surface of the drive ring (530) is formed to be rounded to correspond to the shape of the inner surface of the drive ring (530), and when it stands upright at a right angle to the inner surface of the drive ring (530), it engages with the first blade (553) which also stands upright at a right angle to the inner surface of the drive ring (530).

[0124] Here, the second blade (554) has the same configuration as the first blade (553) described above, and the blade body (5531), first fastening magnetic body (5532), second fastening magnetic body (5533), and third fastening magnetic body (5534), etc. of the first blade (553) can be applied in the same way; therefore, to avoid duplication of explanation, the description thereof will be omitted.

[0125] The first electromagnet (555) forms a “+” polarity or a “-” polarity by means of a switching device (557) and is installed on one side of the installation groove (552) where the rear end of the first blade (553) disposed in the installation groove (552) is seated.

[0126] The second electromagnet (556) forms a “+” polarity or a “-” polarity by means of a switching device (557) and is installed on the other side of the installation groove (552) where the rear end of the second blade (554) placed in the installation groove (552) is seated.

[0127] The switching device (557) individually switches the polarity of the first electromagnet (555) and the second electromagnet (556).

[0128] In one embodiment, the switching device (557) can cause the first blade (553) to stand upright by switching the first electromagnet (555) on with the same magnetism as the first driving magnetic body (558) to induce it to be attached to the first driving magnetic body (558) as shown in FIG. 7, or the second blade (554) to stand upright by switching the second electromagnet (556) on with the same magnetism as the second driving magnetic body (559) to induce it to be attached to the second driving magnetic body (559).

[0129] Additionally, the switching device (557) can simultaneously switch the first electromagnet (555) and the second electromagnet (556) to have the same magnetic properties as the first driving magnetic body (558) and the second driving magnetic body (559) so that the first blade (553) and the second blade (554) can be simultaneously brought into close contact with each other and stand upright, and can also selectively switch the first electromagnet (555) or the second electromagnet (556) to have the same magnetic properties as the first driving magnetic body (558) or the second driving magnetic body (559) so that the first blade (553) or the second blade (554) can stand upright independently.

[0130] The first driving magnetic body (558) is installed at the rear end of the first blade (553) which is seated in close contact with the first electromagnet (555). When the first electromagnet (555) is switched on to form the same magnetism, the first blade (553) moves away from the first electromagnet (555) and is positioned to be in close contact with the inner surface of the driving ring (530). When the first electromagnet (555) forms the opposite magnetism, the first blade (553) moves away from the inner surface of the driving ring (530) and is positioned to be perpendicular to the inner surface of the driving ring (530) as it is attached to the first electromagnet (555).

[0131] The second driving magnetic body (559) is installed at the rear end of the second blade (554) which is seated in close contact with the second electromagnet (556). When the second electromagnet (556) forms the same magnetic field, the second blade (554) moves away from the second electromagnet (556) and is positioned to be in close contact with the inner surface of the driving ring (530). When the second electromagnet (556) forms the opposite magnetic field, the second blade (554) moves away from the inner surface of the driving ring (530) and is positioned to be perpendicular to the inner surface of the driving ring (530) as it is attached to the second electromagnet (556).

[0132] A propeller (550) having the configuration described above can selectively control the propulsion force even in the case of the same rotational drive by selectively controlling the uprighting of the first blade (553) and the second blade (554).

[0133] The embodiments described above may be implemented at least partially as computer programs and recorded on computer-readable recording media. Computer-readable recording media on which programs for implementing the embodiments are recorded include all types of recording devices in which data readable by a computer is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, optical data storage devices, etc. Additionally, computer-readable recording media may be distributed across networked computer systems, so that computer-readable code is stored and executed in a distributed manner. Furthermore, functional programs, codes, and code segments for implementing the embodiments will be readily understood by a person skilled in the art to which the embodiments pertain.

[0134] Although the present specification has been described above with reference to the embodiments illustrated in the drawings, this is merely illustrative and those skilled in the art will understand that various modifications and variations of the embodiments are possible therefrom. However, such modifications should be considered to be within the technical scope of protection of the present specification. Accordingly, the true technical scope of protection of the present specification should be determined to include other implementations, other embodiments, and equivalents to the claims based on the technical spirit of the appended claims. Explanation of the symbols

[0136] 10, 20: Eco-friendly Building Credit Calculation System 100: Building Database Server 200: User terminal 300: Credit Calculation Server

Claims

Claim 1 A building database server that receives at least one building specification from at least one building, receives it from the construction company or building owner of the building at the time of construction, and stores it in a database; a user terminal that receives big data information reflecting the building specification, administrative district associated with the administrative address, and surrounding environment from the building database server; a credit calculation server that estimates the LEED (Leadership in Energy and Environmental Design) credit score and the construction cost of the building through big data analysis based on the building specification received from the user terminal; and an environmental measurement device installed at a location to estimate the LEED credit score and construction cost, which provides environmental information measured at different heights to the credit calculation server, wherein the environmental measurement device includes a balloon filled with a gas lighter than air and floated in the air, a mounting wire that supports the balloon in the air to prevent it from flying away, and a plurality of measurement modules installed at regular intervals along the mounting wire to measure environmental information at the height at which they are installed. The above-described measurement module comprises a floating frame and an upward induction member, wherein the floating frame is formed in the shape of a polygonal column with all sides open, and is installed so that the mounting wire is inserted vertically along the inner center and is floated in the air, and the upward induction member is installed on the side of the floating frame and is connected to each upper side of the floating frame and at least one type of measurement sensor that measures environmental information to be provided to the credit calculation server, and is characterized by inducing the upward movement of the floating frame or varying the position of the floating frame in the air, in an eco-friendly building credit calculation system. Claim 2 delete Claim 3 In claim 1, the credit calculation server is an eco-friendly building credit calculation system that estimates the LEED credit score and the construction cost of the building by additionally considering environmental information by height of the location where the building is to be constructed, received from the environmental measurement device during big data analysis. Claim 4 In paragraph 3, the credit calculation server further comprises: a first artificial intelligence that derives a first LEED credit score as an output with building specification information, environmental measurement information, big data information, and other information as inputs; a second artificial intelligence that derives a second LEED credit score and energy saving information as an output with building energy consumption source information, energy saving information, the first LEED credit score derived as an output of the first artificial intelligence, and other information as inputs; and a third artificial intelligence that derives building estimated price information with specification information, environmental measurement information, big data information, and other information as inputs with the second LEED credit score, target level information, building specification information, and other information as inputs. Claim 5 In claim 4, the credit calculation server comprises an integrated artificial intelligence including the first artificial intelligence, the second artificial intelligence, and the third artificial intelligence, and the integrated artificial intelligence performs inference with the building specification information, the environmental measurement information, the big data information, the building energy consumption source information, and the energy saving content information as inputs to automatically derive the target level information, the second LEED credit score information, and the building estimated price information as output information, an eco-friendly building credit calculation system. Claim 6 delete Claim 7 delete Claim 8 An eco-friendly building credit calculation system according to claim 1, wherein the measurement sensor comprises at least one of an altitude sensor, an illuminance sensor, a temperature sensor, a humidity sensor, and a wind direction and speed weather sensor. Claim 9 An eco-friendly building credit calculation system comprising, in claim 1, a rising induction member, a rotating panel formed in the shape of a flat plate and connected to the upper side of the floating frame so as to be rotatable; an installation opening formed by penetrating the rotating panel in the shape of a disc; a driving ring formed in the shape of a circular ring corresponding to the shape of the installation opening and connected to the installation opening so as to be rotatable; a driving gear installed to be rotatable on one side of the installation opening and connected to the gear teeth installed along the outer surface of the driving ring by gear coupling, and rotating in a forward or reverse direction to rotate the driving ring; and a plurality of propellers installed at regular intervals along the inner surface of the driving ring and rotating together as the driving ring rotates to induce an upward propulsion force. Claim 10 In claim 9, the propeller comprises: an installation block installed on the inner circumference of the drive ring; an installation groove formed hollowly on the inner side of the installation block while forming an opening into the inner side of the drive ring; a first blade rotatably connected and installed on one side of the entrance of the installation groove, the side surface in contact with the inner circumference of the drive ring being formed to be rounded in correspondence with the shape of the inner circumference of the drive ring; a second blade rotatably connected and installed on the other side of the entrance of the installation groove opposite the first blade, the side surface in contact with the inner circumference of the drive ring being formed to be rounded in correspondence with the shape of the inner circumference of the drive ring, and interlocking with the first blade so as to be in contact with the first blade when standing upright at a right angle to the inner circumference of the drive ring; a first electromagnet installed on one side of the installation groove where the rear end of the first blade disposed in the installation groove is seated; and the rear end of the second blade disposed in the installation groove where the rear end of the second blade is seated A second electromagnet installed on the other side; a switching device for individually switching the polarity of the first electromagnet and the second electromagnet; and a first driving magnetic body installed at the rear end of the first blade that is seated in close contact with the first electromagnet, wherein when the first electromagnet forms the same magnetism, the first blade moves away from the first electromagnet to be in close contact with the inner surface of the driving ring, and when the first electromagnet forms the opposite magnetism, the first blade moves away from the inner surface of the driving ring and is erected perpendicular to the inner surface of the driving ring as it attaches to the first electromagnet.An eco-friendly building credit calculation system comprising: a second driving magnetic body installed at the rear end of the second blade that is seated in close contact with the second electromagnet, wherein when the second electromagnet forms the same magnetism, the second blade moves away from the second electromagnet to be in close contact with the inner surface of the driving ring, and when the second electromagnet forms the opposite magnetism, the second blade moves away from the inner surface of the driving ring and is then set upright to be perpendicular to the inner surface of the driving ring as it attaches to the second electromagnet.

Images