KR-20260063231-A - Method and system for facility recommendation service based on demographic analysis using artificial intelligence

KR20260063231AKR 20260063231 AKR20260063231 AKR 20260063231AKR-20260063231-A

Abstract

A method and system for a facility recommendation service based on demographic analysis using artificial intelligence are disclosed. A method for a facility recommendation service based on demographic analysis using artificial intelligence according to one aspect of the present invention comprises: a step of collecting facility information including location, usage type, operating personnel, capacity, and utilization rate for facilities located in a target area; a step of calculating an efficiency value for each facility by analyzing the facility information and demographic information regarding the number of people residing in the target area, change rate, and age group; and a step of determining facility recommendations for a converted facility or a new facility to convert the usage type based on the efficiency value and through artificial intelligence analysis.

Inventors

송광헌
이금탁
양승남
김창모
채화종
이진웅

Assignees

주식회사 피씨엔

Dates

Publication Date: 20260507
Application Date: 20241030

Claims (9)

A step of collecting facility information including location, usage type, operating personnel, capacity, and utilization rate for facilities located in a target area; A step of calculating efficiency figures for each facility based on an analysis of demographic information regarding the number of people, change rates, and age groups residing in the above-mentioned target area and the above-mentioned facility information; and A method for a facility recommendation service based on demographic analysis using artificial intelligence, comprising the step of determining facility recommendations for a converted facility or a new facility to convert the usage type based on the efficiency figures above through artificial intelligence analysis.
In paragraph 1, A facility recommendation service method based on demographic analysis using artificial intelligence, which determines the above facility recommendations by prioritizing them in order of utilization rate and operating personnel.
In paragraph 2, A facility recommendation service method based on demographic analysis using artificial intelligence, wherein when budget information is entered, the facility recommendations are determined based on the budget information.
In paragraph 1, A facility recommendation service method based on demographic analysis using artificial intelligence, which calculates and provides the expected utilization rate of each facility based on artificial intelligence analysis when applying the above facility recommendations.
In paragraph 4, A method for a facility recommendation service based on demographic analysis using artificial intelligence, further comprising the step of generating a predicted map image of a newly created private building when the facility recommendation is applied by artificial intelligence analysis.
In paragraph 5, A facility recommendation service method based on demographic analysis using artificial intelligence, which predicts and provides guidance on population changes corresponding to expected private buildings and facility changes according to the above facility recommendations.
A computer program stored on a computer-readable medium for performing a facility recommendation service method based on demographic analysis using artificial intelligence, wherein the computer program causes a computer to perform the following steps, and said steps are, A step of collecting facility information including location, usage type, operating personnel, capacity, and utilization rate for facilities located in a target area; A step of calculating efficiency figures for each facility based on an analysis of demographic information regarding the number of people, change rates, and age groups residing in the above-mentioned target area and the above-mentioned facility information; and A computer program stored on a computer-readable medium, comprising the step of determining facility recommendations for a converted facility or a new facility to convert the usage type based on artificial intelligence analysis using the above efficiency figures.
A demographic information DB that stores demographic information including information on the number of people, rate of change, and age groups residing in a target area; A facility database storing facility information including location, usage type, operating personnel, capacity, and utilization rate for facilities located in the above-mentioned target area; and A facility recommendation service system based on demographic analysis using artificial intelligence, comprising an artificial intelligence unit that calculates efficiency figures for each facility based on an analysis of demographic information and facility information regarding the above-mentioned target area, and determines facility recommendations for conversion facilities or new facilities to convert usage types based on artificial intelligence analysis using the efficiency figures.
In paragraph 8, A facility recommendation service system based on demographic analysis using artificial intelligence, wherein the artificial intelligence unit predicts newly created private buildings when the facility recommendation details are applied, and predicts population changes corresponding to the changes in facilities based on the private buildings and the facility recommendation details.

Description

Method and system for facility recommendation service based on demographic analysis using artificial intelligence The present invention relates to a method and system for a facility recommendation service based on demographic analysis using artificial intelligence. Recently, local populations have been declining rapidly, leading to increased interest among local governments in equitable regional development. The proportion of regions experiencing population decline is projected to increase from 58.2% in 2025 to 81.4% in 2040, and the physical decline of cities is expected to accelerate. Local governments operate various facilities, including public, welfare, and transportation infrastructure. In particular, regional areas are running diverse welfare facilities encompassing the elderly, children, and youth to address the declining population. However, the reality is that many facilities are operated inefficiently due to low utilization rates, and countermeasures are urgently needed. An efficient operational plan for facilities is needed to mitigate population decline and provide various benefits to residents. FIG. 1 is a functional block diagram illustrating the configuration of a facility recommendation service system based on demographic analysis using artificial intelligence according to an embodiment of the present invention. FIG. 2 is a flowchart schematically illustrating a facility recommendation service process according to one embodiment of the present invention. FIG. 3 is an exemplary diagram illustrating a result screen of a facility recommendation service for a target area according to an embodiment of the present invention. FIG. 4 is a flowchart illustrating the process of providing an expected scenario when applying facility recommendations according to an 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 omitted. In describing the present invention, if it is determined that a detailed description of related prior art could unnecessarily obscure the essence of the present invention, such detailed description is omitted. FIG. 1 is a functional block diagram illustrating the configuration of a facility recommendation service system based on demographic analysis using artificial intelligence according to one embodiment of the p