• 대한토목학회논문집
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• 제32권2D호
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• pp.159-166
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• 2012

건설시공현장에서 콘크리트 타설시 거푸집과 동바리 등의 가설 구조물만으로 유동상태의 콘크리트 자중 및 각종 시공하중을 지지한다. 그러나 타설 중 복잡한 동선과 타설 충격, 지반 침하 등으로 가설구조물에 하중집중이 발생할 수 있으며, 집중하중으로 인하여 발생하는 가설구조물의 불안정은 안전사고의 원인이 된다. 따라서 기존의 건설시공 안전관리방법으로 건설시공 안전관리를 하는데 한계가 있으며, 시공 중 콘크리트 타설 및 양생과정에서 가설구조물의 안전성을 높이기 위해서 콘크리트 타설 프로세스를 지속적으로 모니터링할 필요가 있다. 본 연구에서는 건설시공 안전관리를 위한 USN(Ubiquitous Sensor Network) 기반의 실시간 모니터링 시스템을 제시한다. USN 기반의 실시간 모니터링 시스템은 콘크리트 타설시 거푸집 처짐, 동바리의 하중변화 등을 실시간으로 측정하며, 무선으로 데이터를 전송하여 시공현장 상황을 실시간으로 모니터링한다. 가시설 구조물 모형에 대한 실험에서 측정된 데이터를 허용기준치와 비교한 결과 하중초과 및 거푸집의 이상변형 발생 시 경고초치를 통해 작업자의 작업 중단 및 즉각적인 대피, 신속한 사후 대처 등을 알림으로써 시공현장에서 발생 가능한 사고를 미연에 방지할 수 있다는 것을 보여줬다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.579-580
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• 2017

최근 실험실에서 시약에 의한 안전사고가 늘어남에 따라 시약을 안전하게 관리하기 위한 시스템들이 개발되고 있다. 기존 시스템은 웹 페이지를 통해 시약장을 모니터링하고 관리하지만 시약장의 내부 환경 변화를 고려하거나 원격 모니터링 및 제어 기능은 미비한 실정이다. 이를 해결하기 위해 본 논문에서는 시약장 내부에 적재되어 있는 시약의 변질을 예측하고 원격모니터링 및 제어가 가능한 시스템을 제안한다. 시약장 내부에 부착된 온도, 습도 센서에서 측정한 값과 시약의 유효기간을 통해 시약의 변질을 예측하고 관리자에게 경고 메시지를 전송한다. 관리자는 어플리케이션을 통해 시약장을 모니터링 및 제어한다. 시약의 변질을 사전에 예측하고 원격으로 시약장을 관리함으로써 시약에 의한 안전사고를 줄일 수 있을 것으로 사료된다.

• Nuclear Engineering and Technology
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• 제40권1호
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• pp.49-68
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• 2008

The purpose of this paper is to extensively review the condition monitoring (CM) techniques using empirical models in an effort to reduce or eliminate unexpected downtimes in general industry, and to illustrate the feasibility of applying them to the nuclear industry. CM provides on-time warnings of system states to enable the optimal scheduling of maintenance and, ultimately, plant uptime is maximized. Currently, most maintenance processes tend to be either reactive, or part of scheduled, or preventive maintenance. Such maintenance is being increasingly reported as a poor practice for two reasons: first, the component does not necessarily require maintenance, thus the maintenance cost is wasted, and secondly, failure catalysts are introduced into properly working components, which is worse. This paper first summarizes the technical aspects of CM including state estimation and state monitoring. The mathematical background of CM is mature enough even for commercial use in the nuclear industry. Considering the current computational capabilities of CM, its application is not limited by technical difficulties, but by a lack of desire on the part of industry to implement it. For practical applications in the nuclear industry, it may be more important to clarify and quantify the negative impact of unexpected outcomes or failures in CM than it is to investigate its advantages. In other words, while issues regarding accuracy have been targeted to date, the concerns regarding robustness should now be concentrated on. Standardizing the anticipated failures and the possibly harsh operating conditions, and then evaluating the impact of the proposed CM under those conditions may be necessary. In order to make the CM techniques practical for the nuclear industry in the future, it is recommended that a prototype CM system be applied to a secondary system in which most of the components are non-safety grade. Recently, many activities to enhance the safety and efficiency of the secondary system have been encouraged. With the application of CM to nuclear power plants, it is expected to increase profit while addressing safety and economic issues.

• 한국건축시공학회지
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• 제21권5호
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• pp.397-408
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• 2021

건설업은 업무상 재해 발생빈도와 사망자 수가 다른 산업군에 비해 높아 가장 위험한 산업군으로 불린다. 정부는 건설 현장에서 발생하는 산업 재해를 줄이고 예방하기 위해 CCTV 설치 의무화를 발표했다. 건설 현장의 안전 관리자는 CCTV 관제를 통해 현장의 잠재된 위험성을 찾아 제거하고 재해를 예방한다. 하지만 장시간 관제 업무는 피로도가 매우 높아 중요한 상황을 놓치는 경우가 많다. 따라서 본 연구는 딥러닝 기반 컴퓨터 비전 모형 중 개체 분할인 YOLACT와 다중 객체 추적 기법인 SORT을 적용하여 다중 클래스 다중 객체 추적 시스템을 개발하였다. 건설 현장에서 촬영한 영상으로 제안한 방법론의 성능을 MS COCO와 MOT 평가지표로 평가하였다. SORT는 YOLACT의 의존성이 높아서 작은 객체가 적은 데이터셋을 학습한 모형의 성능으로 먼 거리의 물체를 추적하는 성능이 떨어지지만, 크기가 큰 객체에서 뛰어난 성능을 나타냈다. 본 연구로 인해 딥러닝 기반 컴퓨터 비전 기법들의 안전 관제 업무에 보조 역할로 업무상 재해를 예방할 수 있을 것으로 판단된다.

• 한국농공학회논문집
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• 제63권3호
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• pp.47-57
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• 2021

Drought monitoring over paddy field area is an important role as the frequency and intensity of drought due to climate change increases. This study analyzed the applicability of drought monitoring on paddy crops using MODIS-based field surveys. As a satellite-based drought index using evapotranspiration for quantitative drought determination, ESI (Evaporative Stress Index), was applied and calculated through the ratio of MODIS- based actual and potential evapotranspiration. For the irrigated areas of Idong, Gosam, Geumgwang, and Madun reservoirs the availability of irrigation water supply, ponding depth, precipitation, paddy growth were investigated for the paddy field within one grid of MODIS. In addition, the percentile-based ESI drought severity was calculated to compare the growth process of paddy and changes in the drought category of ESI. The Idong area was irrigated about a week later than other reservoirs for the period of water supply, transplanting, and water drainage and the ESI drought category tended to be different. The Gosam, Geumgwang, and Madun area expressed moderate drought prior to the farming season, and indicated normal as the water was supplied. During the water drainage, the drought category intensified, indicating that the water available on land was decreasing. These results demonstrated that the MODIS-based ESI could be an effective tool for agricultural drought monitoring over paddy field area.

• 대한지역사회영양학회지
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• 제21권1호
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• pp.84-92
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• 2016

Objectives: This study was performed to develop a food safety education program for school foodservice employees and evaluate its effectiveness. Methods: Food safety education programs were made into two levels; one for new employees in school foodservice and another for employees in charge of Critical Control Point (CCP) monitoring. The programs were for 40-minute-long lecture using PowerPoint. The effectiveness of these programs were assessed based on eleven evaluation items by school foodservice dieticians (n=30) and the Hazard Analysis Critical Control Point (HACCP) specialist (n=13). All statistical analyses are conducted by SPSS package program (ver 20.0). Results: According to the results of evaluating the food safety education program by dietitian and HACCP specialist, the overall satisfaction score was 4.14, evaluated by 5 point scale. There were no significant difference in results of evaluation between dieticians and HACCP specialists. The score of 'it is helpful to work' and 'pictures, images and charts are pertinent to study' were higher than others while the score of 'education contents is pleasant and interesting' and 'screen is pleasant and interesting' were the lowest among all evaluation items. Conclusions: To increase the school foodservice quality, employees should be offered regular food safety education and training through effective education media including prerequisite program and HACCP manual for school foodservice.

• Nuclear Engineering and Technology
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• 제52권4호
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• pp.784-790
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• 2020

The accelerated corrosion by Flow Accelerated Corrosion (FAC) has caused unexpected rupture of piping, hindering the safety of nuclear power plants (NPPs) and sometimes causing personal injury. For the safety, it may be necessary to select some pipes in terms of condition monitoring and to measure the change in thickness of pipes in real time. Direct current potential drop (DCPD) method has advantages in on-line monitoring of pipe wall thinning. However, it has a disadvantage in that it is difficult to quantify thinning due to various thinning shapes and thus there is a limitation in application. The machine learning approach has advantages in that it can be easily applied because the machine can learn the signals of various thinning shapes and can identify the thinning using these. In this paper, finite element analysis (FEA) was performed by applying direct current to a carbon steel pipe and measuring the potential drop. The fundamental machine learning was carried out and the piping thinning model was developed. In this process, the features of DCPD to thinning were proposed.

• 대한인간공학회지
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• 제29권4호
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• pp.661-665
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• 2010

Current subway station's office employee must perform safety management tasks by monitoring the various safety management systems. But these monitoring systems are limited in effective situational awareness and response to a state of emergency immediately. It is necessary to develop an integrated safety management system display. In this study, we developed subway station safety management system's (CCTV, fire detection & alarm system, screen door control equipment) integrated prototype display with ecological interface design framework and evaluated prototype display interface's usability with GOMS model. The result was that the ecological interface's performance was better than existing safety management system's interface.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3554-3570
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• 2021

With the rapid development of the Chinese water project, the safety monitoring of dams is urgently needed. Many drawbacks exist in dams, such as high monitoring costs, a limited equipment service life, long-term monitoring difficulties. MEMS sensors have the advantages of low cost, high precision, easy installation, and simplicity, so they have broad application prospects in engineering measurements. This paper designs intelligent monitoring based on the collaborative measurement of dual MEMS sensors. The system first determines the endpoint coordinates of the sensor array by the coordinate transformation relationship in the monitoring system and then obtains the dam settlement according to the endpoint coordinates. Next, this paper proposes a dual-MEMS sensor collaborative measurement algorithm that builds a mathematical model of the dual-sensor measurement. The monitoring system realizes mutual compensation between sensor measurement data by calculating the motion constraint matrix between the two sensors. Compared with the single-sensor measurement, the dual-sensor measurement algorithm is more accurate and can improve the reliability of long-term monitoring data. Finally, the experimental results show that the dam subsidence monitoring system proposed in this paper fully meets the engineering monitoring accuracy needs, and the dual-sensor collaborative measurement system is more stable than the single-sensor monitoring system.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.579-582
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• 2002

For train service, safety and reliability is an inevitable performance. Specially, turn-out system of the railway for safety because of actual part. Hence the management is strictly executed over turn-out systems of the railway. Also number of turn-out system need to monitoring systems. In this paper, the data multi-acquisition system for monitoring it is necessary to reduce the cost from the expensive characteristics of multi-monitoring system according to the importance of each data because this system is based on communication of one to several units. We designed the data multi-acquisition system using numbers of micro-controller and the experiment was executed to the actual turn-out system.