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KR-102963930-B1 - Smart xEMS communication system and method using spatial type-specific data analysis

KR102963930B1KR 102963930 B1KR102963930 B1KR 102963930B1KR-102963930-B1

Abstract

A smart xEMS communication system and method using data analysis by space type are disclosed. According to one aspect of the present invention, a smart xEMS communication system using data analysis by space type is provided, comprising: a back data DB for storing information on energy usage locations within a target space; a data collection unit for collecting energy data used in the target space; and an xEMS unit for dividing the space into city units, building units, and small-scale space units according to a preset scale for the target space, and analyzing the energy data based on the information on energy usage locations according to the divided spaces to predict energy usage by space unit.

Inventors

  • 박세현
  • 윤구원
  • 백영현
  • 김준식
  • 이상훈

Assignees

  • 중앙대학교 산학협력단

Dates

Publication Date
20260511
Application Date
20241224

Claims (10)

  1. Back data DB for storing information on energy usage locations within the target space; A data collection unit for collecting energy data used in the above-mentioned target space; and It includes an xEMS unit that divides the space into city units, building units, and small-scale space units according to a preset scale for the above-mentioned target space, and predicts energy consumption per space unit by analyzing the energy data based on the energy usage location information according to the divided spaces. The above xEMS unit determines partitioned space characteristics corresponding to area, scale, usage purpose, function, and number of users as energy usage location information, and further predicts the energy consumption by utilizing the said partitioned space characteristics, and The above data collection unit further collects user movement information for each separated partitioned space, and The above xEMS unit utilizes movement history based on user movement information to further subdivide the above divided spaces into finer spaces, and predicts energy usage corresponding to the finer spaces, thereby creating a smart xEMS communication system using space type-specific data analysis.
  2. In claim 1, The above xEMS unit is a smart xEMS communication system using space-type data analysis, which calculates carbon emissions corresponding to the energy consumption and derives and guides energy usage methods to meet target reduction amounts according to each carbon emission for each partitioned space.
  3. In claim 2, A smart xEMS communication system using space type-specific data analysis that sets target reduction amounts for the divided spaces according to characteristic information including the location, user status, and major industries of the target space.
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  6. In claim 1, A smart xEMS communication system using space-type data analysis, wherein the data collection unit further collects user information flowing into or out of the target space by time period and utilizes it further for predicting energy consumption.
  7. In claim 1, The above xEMS unit is a smart xEMS communication system using space type-specific data analysis, which sets different criteria for distinguishing between city units, building units, and small-scale space units according to the size of the target space itself and the number of users.
  8. In an xEMS communication method performed on a computing device, A step of dividing the space into city units, building units, and small space units according to a preset scale for the target space; A step of collecting energy data regarding the energy used in the above-mentioned target space; and The method includes a step of predicting energy usage per space unit by analyzing the energy data based on pre-stored energy usage location information according to the divided spaces of the target space, The above-mentioned predicting step determines partitioned space characteristics corresponding to area, scale, usage purpose, function, and number of users as energy usage location information, and further predicts the energy consumption by utilizing the said partitioned space characteristics. The above-mentioned collecting step further collects user movement volume information for each separated partitioned space, and The above-mentioned predicting step is a smart xEMS communication method using space-type data analysis, wherein the above-mentioned divided spaces are further subdivided into finer spaces by utilizing movement history based on the above-mentioned user movement information, and energy usage is predicted corresponding to the finer spaces.
  9. In claim 8, A smart xEMS communication method using space type-specific data analysis, further comprising the step of calculating carbon emissions corresponding to the above energy consumption, and deriving and guiding an energy usage method to satisfy the target reduction amount according to each carbon emission for each partitioned space.
  10. A computer program stored on a computer-readable medium for performing a smart xEMS communication method using spatial type-specific data analysis, said computer program causing a computer to perform the following steps, said steps being, A step of dividing the space into city units, building units, and small space units according to a preset scale for the target space; A step of collecting energy data used in the above target space; and The method includes a step of predicting energy usage per space unit by analyzing the energy data based on pre-stored energy usage location information according to the divided spaces of the target space, The above-mentioned predicting step determines partitioned space characteristics corresponding to area, scale, usage purpose, function, and number of users as energy usage location information, and further predicts the energy consumption by utilizing the said partitioned space characteristics. The above-mentioned collecting step further collects user movement volume information for each separated partitioned space, and The above-mentioned predicting step is a computer program stored on a computer-readable medium that utilizes movement history based on the user movement information to further subdivide the above-mentioned divided spaces into finer spaces and predicts energy usage corresponding to the finer spaces.

Description

Smart xEMS communication system and method using spatial type-specific data analysis The present invention relates to a smart xEMS communication system and method using spatial type-specific data analysis. In conventional technology, it was common practice to control energy usage in individual buildings or small spaces primarily through small-scale energy management systems (such as HEMS and BEMS). Existing systems focused on managing power supply and demand within each space and responding to power emergencies by restricting or cutting off power supply when necessary. For instance, the primary management methods involved gradually cutting off power during surges in demand or adjusting usage based on power reserve data. While such conventional technologies have contributed to the stabilization of power supply and demand, they had limitations in achieving long-term goals such as integrated energy management across various spatial units and carbon neutrality. In particular, although conventional technologies focused on controlling energy consumption, there has been a growing need for intelligent management systems that analyze energy data in real time and use this analysis for prediction and optimization. Furthermore, existing systems focused on overall power grid management rather than energy management tailored to spatial characteristics (cities, buildings, small-scale spaces), making it difficult to apply more detailed energy optimization and carbon reduction measures. FIG. 1 is a functional block diagram schematically illustrating the configuration of a smart xEMS communication system using spatial type-specific data analysis according to an embodiment of the present invention. FIGS. 2 and FIGS. 3 are drawings illustrating smart xEMS communication design methods according to spatial scale in each embodiment of the present invention. FIG. 4 is a flowchart illustrating the process of performing smart xEMS communication using spatial type-specific data analysis according to an embodiment of the present invention. FIG. 5 is a flowchart illustrating the process of performing smart xEMS communication using a fine space utilizing user movement amount within the space according to another embodiment of the present invention. The present invention is capable of various modifications and may have various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between. Terms such as "first," "second," etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, terms such as "first threshold," "second threshold," etc., to be described later may be pre-designated as thresholds that are substantially different or partially identical; however, since there is a possibility of confusion when expressed using the same word "threshold," the terms "first," "second," etc., will be used together for the convenience of distinction. The terms used herein are merely for describing specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as “comprising” or “having” are intended to indicate the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Furthermore, the components of the embodiments described with reference to each drawing are not limited to the respective embodiments and may be implemented to be included in other embodiments within the scope of maintaining the technical spirit of the present invention. It is also obvious that multiple embodiments may be re-implemented as a single embodiment that integrates multiple embodiments, even if a separate description is omitted. Furthermore, in the description referring to the attached drawings, identical components are assigned the same or related reference numerals regardless of drawing symbols, and redundant descriptions thereof are omitt