KR-20260064803-A - DIGITAL TWIN-BASED CARBON SPACE MAP AND ENERGY MANAGEMENT SOLUTION SYSTEM
Abstract
The present invention relates to a digital twin-based carbon spatial map and energy management solution system, comprising a data collection unit that collects energy data including carbon emissions for areas requiring control over energy production and consumption, a virtual space construction unit that constructs a 3D virtual space based on facility information of the area using digital twin technology for areas and regions to be analyzed, and a service provision unit that provides carbon spatial maps and energy management services. By doing so, energy data including carbon emissions is collected for areas and regions requiring measurement and diagnosis of energy production and consumption details, a digital twin-based virtual space is constructed for the area, an energy control solution is provided through simulation analysis, and the predicted and analyzed carbon absorption amount can be visualized on the carbon spatial map.
Inventors
- 이종욱
Assignees
- 삼부기술 주식회사
Dates
- Publication Date
- 20260508
- Application Date
- 20241029
Claims (5)
- A data collection unit that collects energy data, including carbon emissions, for areas requiring control over energy production and consumption, A virtual space construction unit that constructs a 3D virtual space based on facility information of the area and region to be analyzed using digital twin technology, and A digital twin-based carbon space map and energy management solution system characterized by including a service provider that provides carbon space maps and energy management services.
- In paragraph 1, A digital twin-based carbon spatial map and energy management solution system characterized by the above-mentioned data collection unit collecting energy data including carbon emissions by utilizing drones, LiDAR, and IoT sensors for areas requiring control over energy production and consumption, storing the collected energy data on a network server through a gateway of a wireless communication network, and visualizing the collected signals through a web service to verify the measurement data.
- In paragraph 1, The above-mentioned virtual space construction unit collects spatial data for digital twin construction and a digital twin construction unit that constructs a digital twin, and It includes a control service provider that performs continuous control and monitoring of the relevant area, propagates event situations when events occur, responds to disaster situations, simulates energy infrastructure through a virtual space, and provides control services including energy prediction services through artificial intelligence analysis based on analysis data. A digital twin-based carbon spatial map and energy management solution system characterized by the above-mentioned digital twin construction unit collecting spatial information by zone and type by dividing the area into multiple sections, analyzing numerical information of the spatial information, and constructing a digital surface model using aerial photographs of the overall project demonstration area and data collected using drones.
- In paragraph 3, The above-mentioned control service provider includes a data classification unit that collects, classifies, and refines artificial intelligence (hereinafter referred to as 'AI') prediction data, A data transformation and preprocessing unit that transforms and preprocesses collected, classified, and refined data, A data analysis and model design unit that designs an energy model by analyzing the above AI prediction data, and It includes an energy consumption and power generation prediction unit that predicts energy consumption and power generation through the designed energy model, and The above data classification unit constructs training data by exploring data dimensions and data types for each variable including housing characteristics, home appliances, annual consumption, and consumption costs in solar-powered housing complexes, deleting unnecessary columns, and removing outliers. The above data conversion and preprocessing unit performs preprocessing on daily peak and valley loads and unit data by set period, converts historical data into set period units, merges with weather information, and The above data analysis and model design unit separates the data into rest time and working time to reduce the impact of resident activities, and analyzes the above AI prediction data to improve the accuracy of energy consumption-related data, The above-mentioned energy usage and power generation prediction unit analyzes energy usage for building energy consumption, distributed power sources, and power generation, and predicts the location, tilt angle, and direction of each solar panel to increase power generation efficiency by utilizing solar irradiance efficiency data, including solar radiation and sunlight, when selecting distributed energy locations, thereby forming a digital twin-based carbon space map and energy management solution system.
- In paragraph 1, The above service provider visualizes and maps carbon emission and absorption information at the spatial level of cities and regions, and creates a carbon spatial map reflecting greenhouse gas emission and absorption information for each region and spatial unit, and A digital twin-based carbon space map and energy management solution system characterized by visualizing carbon space big data, calculating carbon absorption amounts through carbon emission data and spatial information data based on the carbon space big data, and providing data services linked with a carbon space map data model and a carbon space map API.
Description
Digital Twin-Based Carbon Space Map and Energy Management Solution System The present invention relates to a digital twin-based carbon spatial map and energy management solution system, and more specifically, to a digital twin-based carbon spatial map and energy management solution system capable of collecting energy data including carbon emissions for regions and areas requiring measurement and diagnosis of energy production and consumption details, constructing a digital twin-based virtual space for said area, providing an energy control solution through simulation analysis, and visualizing predicted and analyzed carbon absorption amounts on a carbon spatial map. A digital twin is a digital information construct regarding machines, physical devices, systems, processes, people, and the like. Once created, a digital twin can be used to represent a machine as a digital representation of the actual system. Digital twins are created to have the same form and behavior as their counterparts. Additionally, digital twins can mirror the state of a machine within a larger system. For example, sensors can be placed on a machine to capture real-time (or near-real-time) data from a physical object and relay it back to a remote digital twin. Typically, digital twins are used to simulate or otherwise mimic the behavior of a machine or physical device within a virtual world. By doing so, digital twins can display the structural components of a machine, show the lifecycle and/or design stages, and make them visible through a user interface. For example, the following patent documents 1 and 2 disclose a technology to which digital twin technology is applied. Patent Document 1 describes a switchboard monitoring system and a monitoring method for constructing a virtual switchboard using digital twin technology, which analyzes time-series data of a detection sensor installed inside a power enclosure such as a switchboard, and prevents fire by monitoring the results of the visual analysis of the deterioration state inside the switchboard through a switchboard screen that is virtually implemented using digital twin technology. Patent Document 2 describes an intelligent transportation system configuration including a configurable digital twin interface for a passenger car for displaying a set of vehicle states to a user of the vehicle. Meanwhile, as the sense of crisis regarding the environment and energy intensifies globally, efforts are continuing to resolve environmental problems by reducing greenhouse gases through carbon emission reduction, based on an awareness of the importance of energy management. As part of these efforts, carbon spatial mapping technology is being developed. The above carbon spatial map visualizes sectoral carbon emissions generated by urban activities, such as buildings, transportation, and land use, as well as the absorption amounts of urban carbon sinks, based on spatial units. Through these carbon spatial maps, anyone can view information on carbon emissions and absorption by land use zone (such as urban areas and agricultural/forestry areas) and administrative district (such as towns, townships, and dongs), and compare statistics by region. As a result, information on similar carbon spatial map cases and data construction can also be found domestically and internationally. In particular, carbon spatial maps can be used by local governments as basic survey data to reflect carbon neutrality elements in the process of formulating urban plans. Accordingly, it is expected that data-driven urban planning can be established by utilizing carbon spatial maps, including the development of compact spatial structures with low carbon emissions, the determination of park locations to expand carbon sinks, and the creation of new public transportation routes to reduce road carbon emissions. As such, there is a need to develop carbon spatial mapping and energy management solution technologies utilizing digital twin technology to reduce greenhouse gases and achieve carbon neutrality. FIG. 1 is a configuration diagram of a digital twin-based carbon spatial map and energy management solution system according to a preferred embodiment of the present invention. FIG. 2 is a diagram illustrating the detailed functions of the solution system illustrated in FIG. 1. A digital twin-based carbon space map and energy management solution system according to a preferred embodiment of the present invention will be described in detail below with reference to the attached drawings. FIG. 1 is a configuration diagram of a digital twin-based carbon space map and energy management solution system according to a preferred embodiment of the present invention, and FIG. 2 is a diagram illustrating the detailed functions of the solution system shown in FIG. 1. As illustrated in FIG. 1 and FIG. 2, a digital twin-based carbon space map and energy management solution system (10) according to a preferred embodiment of the present invention inclu