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빅데이터 기반 수도사고 위기대응 고도화 방안에 관한 연구
김호성(Ho-sung Kim),김종립(Jong-rip Kim),김재중(Jae-jong Kim),윤영민(Young-min Yoon),김대경(Dae-kyung Kim) 한국정보통신학회 2022 한국정보통신학회 종합학술대회 논문집 Vol.26 No.1
`19년 인천시 수돗물 적수 사고 발생에 따라 환경부에서는 수도운영관리 고도화, 체계적인 기술지원 및 사고대응을 위해 「수돗물 안전관리 종합대책」을 수립하여 수돗물 공급 전 과정의 스마트 상수도 관리 체계를 구축 중이다. 수도사고 위기대응 고도화를 위해서는 유량, 압력, 수위 등 실시간 수도운영 데이터의 신뢰성 확보와 더불어 빅데이터 분석기법을 활용한 사전 경보 알고리즘 개발 및 적용이 필수적이다. 본 논문에서는 수도운영 데이터 주요항목(유량, 압력, 수위 등)에 대한 데이터 기반의 다양한 통계기법을 활용해 최적 운영범위 선정, 감시경보체계 고도화를 위한 기반을 마련하고, 분석 결과를 K-water 운영 시스템 및 감식경보시스템과의 연계를 위한 시스템 모델링에 대해 연구한다. 또한, 취수장과 정수장 간 원수 탁도의 변화에 대한 교차 상관분석을 통해 도달시간 등에 대해 고찰하고, 취수장 펌프 가동에 따른 유량 변화 및 시간 지연을 고려한 원수 탁도 데이터를 적용하여 정수장 원수 탁도를 예측하는 모델에 관해 연구하고자 한다. In response to Incheon tap water accident in 2019, the Ministry of Environment has created the “Comprehensive Measure for Water Safety Management” to improve water operation management, provide systematic technical support, and respond to accidents. Accordingly, K-water is making a smart water supply management system for the entire process of tap water. In order to advance the response to water accidents, it is essential to secure the reliability of real-time water operation data such as flow rate, pressure, and water level, and to develop and apply a warning algorithm in advance using big data analysis techniques. In this paper, various statistical techniques are applied using water supply operation data (flow, pressure, water level, etc) to prepare the foundation for the selection of the optimal operating range and advancement of the monitoring and alarm system. In addition, the arrival time is analyzed through cross-correlation analysis of changes in raw water turbidity between the water intake and water treatment plants. The purpose of this paper is to study the model that predicts the raw water turbidity of a water treatment plant by applying raw water turbidity data considering the time delay according to the flow rate change.
최동훈,김민수,김종립,전재영,Choe, Dong-Hun,Kim, Min-Su,Kim, Jong-Rip,Jeon, Jae-Yeong 대한기계학회 2001 大韓機械學會論文集A Vol.25 No.9
Based on the exponential intervening variable, a new two-point approximation method is presented. This introduces the shifting level into each exponential intervening variable to avoid the lack of def inition of the conventional exponential intervening variables due to zero-or negative-valued design variables. Then a new quadratic approximation whose Hessian matrix has only diagonal elements of different values is proposed in terms of these intervening variables. These diagonal elements are determined in a closed form that corrects the typical error in the approximate gradient of the TANA series due to the lack of definition of exponential type intervening variables and their incomplete second-order terms. Also, a correction coefficient is multiplied to the pre-determined quadratic term to match the value of approximate function with that of the previous point. Finally, in order to show the numerical performance of the proposed method, a sequential approximate optimizer is developed and applied to solve six typical design problems. These optimization results are compared with those of TANA-3. These comparisons show that the proposed method gives more efficient and reliable results than TANA-3.
이점 대각 이차 근사화 기법과 통계적 제한조건을 적용한 강건 최적설계 기법
권용삼,김민수,김종립,최동훈,Kwon, Yong-Sam,Kim, Min-Soo,Kim, Jong-Rip,Choi, Dong-Hoon 대한기계학회 2002 大韓機械學會論文集A Vol.26 No.12
This study presents an efficient method for robust optimal design. In order to avoid the excessive evaluations of the exact performance functions, two-point diagonal quadratic approximation method is employed for approximating them during optimization process. This approximation method is one of the two point approximation methods. Therefore, the second order sensitivity information of the approximated performance functions are calculated by an analytical method. As a result, this enables one to avoid the expensive evaluations of the exact $2^{nd}$ derivatives of the performance functions unlike the conventional robust optimal design methods based on the gradient information. Finally, in order to show the numerical performance of the proposed method, one mathematical problem and two mechanical design problems are solved and their results are compared with those of the conventional methods.
이용복(Yong-Bok Lee),김종립(Jong-Rip Kim),최동훈(Dong-Hoon Choi),김광호(Kwang-Ho Kim),김창호(Chang-Ho Kim) 한국유체기계학회 2001 유체기계 연구개발 발표회 논문집 Vol.- No.-
The paper presents the optimal design of a oil-free two-stage compressor, which is driven by 75 ㎾ motor at an operating speed of 39,000 rpm, and the pressure ratio of which is up to 4. First, an attempt is made to obtain the optimal design of a bump bearing which supports a compressor rotor. Second, bump bearings and shaft are considered simultaneously, and the weighted sum of rotor weight and frictional torque is minimized. Finally, the optimal geometry of compressor wheel is considered. The mean efficiency and the minimum efficiency are maximized respectively. The results presented in this paper provide important design information necessary to reduce the energy loss.
관로 누수 탐지를 위한 GAN 기반의 지능형 감시시스템 구현
오승헌(Seung-Heon Oh),박승희(Seung-hee Park),김호성(Ho-sung Kim),김종립(Jong-rip Kim) 한국정보통신학회 2023 한국정보통신학회 종합학술대회 논문집 Vol.27 No.1
오늘날 수돗물 안전에 대한 사회적 요구가 높아짐에 따라, 상수도 全 과정의 효율적인 안전관리 및 위기 대응 강화를 위한 ICT 기반의 통합관제시스템 구축 필요성이 증대되고 있다. 특히 상수관로 상에 누수 사고 발생 시 신속한 위기 대응을 위한 실시간 지능형 통합관제 솔루션이 필요함에 따라, 본 논문에서는 관로 주변 CCTV 영상정보를 활용하여 누수 사고 발생 시 실시간 누수 객체 탐지를 위한 GAN(Generative Adversarial Networks) 기반의 지능형 감시시스템 구현방안을 제안한다. As the social demand for tap water safety increases today, the need to establish an ICT-based integrated control system for efficient safety management and crisis response in the entire water supply process is increasing. In particular, as there is a need for a real-time intelligent integrated control solution for rapid crisis response in the event of a water leakage accident on the water pipe, this paper uses GAN(Generative Adversarial Networks) Based on this, we propose an implementation plan for an intelligent surveillance system.