활성슬러지 폐수처리장 진단 소프트웨어

손건태,이재은 한국환경과학회 1999 한국환경과학회지 Vol.8 No.5

The diagnostic software for the wastewater treatment plant using activated-sluge process is developed in order to increase the efficiency of management of the wastewater treatment plant. This software is based on the expert system and the visualized user interface including the diagnosis of quantitative and qualitative data. For the generalization of this software, the initialization of each unit process and updating the files can be possible.

산업 플랜트를 위한 안전 진단 및 검사 로봇 개발

최준현,주성현,안예찬,국태용 제어로봇시스템학회 2021 제어로봇시스템학회 국내학술대회 논문집 Vol.2021 No.6

In this paper, we present safety diagnosis and inspection robots to solve the difficulties of safety inspection for industrial plants. Industrial plant sites require safety diagnosis and inspection, but there are various problems such as gas explosions and suffocation deaths. Therefore, there is a need for a safety diagnosis robot that performs safety diagnosis on instead of the operator. we conducted experiments in several plant environments to demonstrate our system.

A study of the development of a condition-based maintenance system for an LNG FPSO

Hwang, H.J.,Lee, J.H.,Hwang, J.S.,Jun, H.B. Elsevier 2018 Ocean engineering Vol.164 No.-

<P><B>Abstract</B></P> <P>In general, the equipment failures or accidents of offshore plants during operation and maintenance (O&M) period cause catastrophic damage. Thus, it is necessary to undertake proactive maintenance in advance in order to avoid abnormal situations. Currently, owing to the emergence of information communication technologies (ICTs) and sensor technologies, it is possible to gather the health status data of important equipment and use this information for maintenance during the O&M period. It sheds light on condition-based maintenance (CBM) strategy. In this study, we introduce a case study on the development of a CBM system (CBMS) for an oil and gas offshore plant, i.e. liquefied natural gas floating production storage and offloading vessel (LNG FPSO). The study includes the introduction of the system architecture, main components, diagnostics and prognostics methods of the system, as well as a discussion of its implementation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Operation and maintenance period of offshore plant is important. </LI> <LI> An increasing need to reduce operating costs of offshore plant through advanced maintenance methods. </LI> <LI> Dealing with a case study of the development of condition-based maintenance system for an offshore plant. </LI> <LI> Introduction of system architecture, components, diagnostics and prognostics methods, and implementation issues. </LI> </UL> </P>

Progress of loop-mediated isothermal amplification technique in molecular diagnosis of plant diseases

Dung Tien Le,Nam Tuan Vu 한국응용생명화학회 2017 Applied Biological Chemistry (Appl Biol Chem) Vol.60 No.2

Effective disease management of crops is crucial to sustain food security and safeguard potential losses in crop production that worth billions of dollars. The key to success in plant disease management is having the ability to detect the causal pathogen(s) early and accurately. Polymerase chain reaction (PCR) has been a gold standard in nucleic acid-based diagnostics. Apart from PCR, within the last decade, the development of a technique called ‘‘loop-mediated isothermal amplification’’ or LAMP has facilitated the development of hundreds of simple assays for plant disease diagnostics. There are now more than 200 LAMP publications per year, of which 20% identify plant disease pathogens. Among them, LAMP assays are available for pathogen detection of 50 plant viruses, 20 bacterial plant diseases, 7 fungal plant diseases and several phytoplasmas. Here, we provide a comprehensive analysis of all LAMP assays available for detecting plant diseases, including various detection chemistries used. We also discuss how to avoid pitfalls when developing LAMP assays. Finally, we offer perspectives of the applications of LAMP in plant disease management, addressing the questions as to which extent the assays are helpful and whether they should be used outside the laboratory. This review will be a ‘‘handbook’’ for researchers developing LAMP assays for plant disease diagnostics.

Consistency check algorithm for validation and re-diagnosis to improve the accuracy of abnormality diagnosis in nuclear power plants

김근희,김재민,신지현,이승준 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.10

The diagnosis of abnormalities in a nuclear power plant is essential to maintain power plant safety. When an abnormal event occurs, the operator diagnoses the event and selects the appropriate abnormal operating procedures and sub-procedures to implement the necessary measures. To support this, abnormality diagnosis systems using data-driven methods such as artificial neural networks and convolutional neural networks have been developed. However, data-driven models cannot always guarantee an accurate diagnosis because they cannot simulate all possible abnormal events. Therefore, abnormality diagnosis systems should be able to detect their own potential misdiagnosis. This paper proposes a rulebased diagnostic validation algorithm using a previously developed two-stage diagnosis model in abnormal situations. We analyzed the diagnostic results of the sub-procedure stage when the first diagnostic results were inaccurate and derived a rule to filter the inconsistent sub-procedure diagnostic results, which may be inaccurate diagnoses. In a case study, two abnormality diagnosis models were built using gated recurrent units and long short-term memory cells, and consistency checks on the diagnostic results from both models were performed to detect any inconsistencies. Based on this, a re-diagnosis was performed to select the label of the second-best value in the first diagnosis, after which the diagnosis accuracy increased. That is, the model proposed in this study made it possible to detect diagnostic failures by the developed consistency check of the sub-procedure diagnostic results. The consistency check process has the advantage that the operator can review the results and increase the diagnosis success rate by performing additional re-diagnoses. The developed model is expected to have increased applicability as an operator support system in terms of selecting the appropriate AOPs and subprocedures with re-diagnosis, thereby further increasing abnormal event diagnostic accuracy

Development of safety diagnostic robot for industrial plant environment

Jun-Hyeon Choi,Ye-Chan An,Sung-Hyeon Joo,Tae-Yong Kuc 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

In this paper, a robot for safety diagnosis is presented to solve the problem of safety diagnosis at industrial plant sites. Safety diagnosis is essential for industrial plants because accidents at industrial plants cause huge economic losses as well as casualties. However, safety diagnosis is difficult due to various dangers such as suffocation and gas explosions in industrial factories. Therefore, we have developed a robot that performs safety diagnoses instead of humans. We designed a mobile robot with various environmental sensors for safety diagnosis and autonomous navigation and installed autonomous mission performance software to enable unmanned safety diagnosis. When a robot receives a mission from the manager, it plans suitable for the mission and moves autonomously through an autonomous navigation algorithm and conducts safety diagnosis at the target point. It also visually shows the current state through the user interface and informs the user of the current diagnostic results. In this paper, we tested robots in an industrial plant environment and confirmed that robots can replace humans.

식물 미세먼지 제거 학습을 위한 교과융합형 문제해결 프로그램의 개발과 적용

곽혜란 한국실과교육학회 2022 한국실과교육학회지 Vol.35 No.1

The purpose of this study is to develop a convergent problem-solving program for elementary school students to learn the ability to remove fine dust from plants and apply it in practice to verify the educational effect of improving the convergent problem-solving ability. To this end, the problem was solved by using the problem-solving learning process, but <classroom fine dust is becoming more serious>, the subject of this study, was intended to be solved using subject convergent knowledge. To this end, horticulture-information-mathematics were selected as related subjects, and a problem-solving learning program based on an integrated curriculum was constructed and applied into practice, and the effect was analyzed. At this time, as for the educational effect, the quantitative survey method analyzed the problem-solving ability and the plant fine dust removal capability, and the qualitative survey method analyzed using activity sheets produced with illustrations for each stage of problem-solving class.. Problem-solving ability showed statistically significant difference for all positive questions (p<.05), and it was particularly effective for questions that required various convergent problem solving. The ability to understand plant fine dust was mainly effective for knowledge and technical questions. The activity sheets used according to the convergent problem-solving stage were produced as illustrations of all the study papers used in the tram to enhance understanding. In recognizing and identifying the cause of the problem, we learned to understand the current status of fine dust and the principle of removing fine dust from plants, compare air purifiers and fine dust removal plants, and understand growth diagnostic kits, housing design, and fine dust data algorithms. In the search for methods to solve problems, fine dust data was expressed in a flow chart and other various ways, and hypothesis verification and supplementation include the contents corresponding to finding fine dust removal plants and creating a classroom garden for fine dust removal. 본 연구의 목적은 초등학생들 대상으로 식물 미세먼지 제거능력 학습을 위한 융합적 문제해결 프로그램을 개발하고 이를 현장에 적용하여 교과융합적 문제해결능력이 향상되는 교육적 효과를 검증하는데 있다. 이를 위해 문제해결학습과정을 이용하여 문제를 해결하되 본 연구의 주제인 <교실 미세먼지가 심각해지고 있다>를 교과융합적 지식을 활용하여 해결하고자 하였다. 이를 위해 관련 교과로 원예-정보-수학을 선정하여 교과통합적 융합교과 기반의 문제해결학습프로그램을 구성하고 현장에 적용한 후 효과를 분석하였다. 이때 교육적 효과로는 양적 조사방법은 문제해결 능력, 식물 미세먼지 제거역량을 분석하였으며 질적 조사방법은 문제해결 수업단계별 일러스트로 제작한 활동지를 활용하여 분석하였다. 문제해결 능력은 긍정성 문항에 대해 모두 통계적으로 유효한 차이가 났으며(p<.05) 특히 다양한 융합적 문제해결을 요하는 문항들에 대해 특히 효과가 있었다. 요인분석결과도 다양한 문제해결지식을 요하는 능력 개선효과에 특히 의미가 있었다. 식물 미세먼지 이해역량에서의 지식, 기술, 태도 영역에서는 주로 지식과 기술 영역학습에서 효과적이었던 것으로 나타났다. 융합교과 프로그램에 기반한 문제해결 학습모형 단계별로 활용한 활동지는 융복합적 교과지식 전달이 자칫 이해가 힘들 수 있는 점을 일러스트를 적극 활용함으로서 이해를 쉽도록 하였으며 <교실 미세먼지 해결하기>라는 현실문제를 원예, 수학, 정보의 3교과를 연계하여 문제인식 및 원인파악-문제해결을 위한 지식탐색-문제해결을 위한 방법탐색-문제해결검증 및 보완 순서에 따라 해결해나갈 수 있었다.

원자로냉각재펌프 진단시스템을 이용한 설비 건전성 검증 방안

김희찬 한국에너지학회 2023 에너지공학 Vol.32 No.3

In Korea, nuclear power plants that have reached the end of their life are allowed to continue operating after being reviewed by the supervisory and regulatory authorities. In the United States, the nuclear power plants nearing end of life are planned to continued operating. They are trying to improve the reliability of nuclear power plants and safety of nuclear power plants by applying the lastest technologies such as artificial intelligence and digital technology to regulatory requirements. Ensuring the safety of power plants by applying the latest 4th industrial technology is emerging as a necessity for continue operation. In this paper, introducing the case of system development applying the 4th industrial technology such as the latest facilities monitoring system and digital twin technology Integrated control technology to reactor coolant pump facilities. It is intended to present research directions for securing facility integrity of operating nuclear power plants, permits for continued operation, and securing safe operation.

하수처리시설 사례 별 강우발생 유무에 따른 유입수 분석 평가

최랑규,정진도 한국방재안전학회 2019 한국방재안전학회 논문집 Vol.12 No.3

Currently in 2018, Korea has over 600 operating sewage disposal facilities. The law requires a sewage treatment plant to treat 500 tons or more of water per day, and a small-decentralized sewage treatment facility in a community to treat 50 tons or more to less than 500 tons of water per day. However, most facilities fulfill neither the quantity nor the quality requirements from the original design for such reasons as inflow of rainwater and ground water due to deterioration of pipelines and unauthorized input of wastewater in the pipelines. The research has selected 2 representative cases among the technical diagnosif sewage pipelines in many regions within the country to use it as the baseline of: hourly flowrate and BOD water quality analysis in both clear and rainy days, proper plant operation through inflow rate and ratio calculation, and diagnostic evaluation for deterioration of the pipelines and their accessary structures. This also suggests facilities that treats 500 tons or more of inflow per day to sample and analyze the water hourly for 24 hours once a week in both clear weather and rainy weather considering the influence of rainfall on a regular basis. 현재 한국 내 공공하수처리시설은 2018년 현재 600개 이상 운영 되고 있으며 하수종말처리시설은 법적으로 유입수량이 일일 500톤 이상 설계되어 운영되는 처리시설을 말한다. 마을 하수도는 50톤 이상 500톤 미만 유입되는 소규모 하수처리시설을 의미한다. 그러나 설계유입수량과 수질이 유사한 처리시설은 거의 없다. 이러한 현실은 하수관로의 노후화로 인한 빗물의 유입, 지하수의 침입과 하수관로에 폐수의 무단 투입 등으로 설계유입수량과 수질이 실제 현실과 많이 다른 것은 어쩔 수 없는 현실이다. 본 연구에서는 국내 많은 지역 하수관로 기술진단을 실시한 것 중 대표적 사례 2개소의 하수관로를 선정하여 청천시와 강우시 시간대별 유량 및 BOD 수질분석, 침입수 유량 및 비율 산정을 통해 하수처리시설의 적절한 운영과 하수관로와 그 부속 시설의 노후화 진단평가를 위한 기초자료로 활용하고자 하며, 일일 500톤 이상 공공하수처리시설 유입수 분석을 청천시 주1회 24시간 동안 시간대별 채수 및 분석, 우천시 강우영향일 고려하여 동일시간대 채수 및 분석을 주기적으로 실시하는 것을 제안한다.

Occurrence and Multiplex PCR Detection of Citrus Yellow Vein Clearing Virus in Korea

Taemin Jin,Ji-Kwang Kim,Hee-Seong Byun,Hong-Soo Choi,Byeongjin Cha,곽혜련,김미경 한국식물병리학회 2024 Plant Pathology Journal Vol.40 No.1

Citrus yellow vein clearing virus (CYVCV) is a member of the Alphaflexiviridae family that causes yellow vein clearing symptoms on citrus leaves. A total of 118 leaf samples from nine regions of six provinces in Korea were collected from various citrus species in 2020 and 2021. Viral diagnosis using next-generation sequencing and reverse transcription polymerase chain reaction (RT-PCR) identified four viruses: citrus tristeza virus, citrus leaf blotch virus, citrus vein enation virus, and CYVCV. A CYVCV incidence of 9.3% was observed in six host plants, including calamansi, kumquat, Persian lime, and Eureka lemon. Among the citrus infected by CYVCV, only three samples showed a single infection; the other showed a mixed infection with other viruses. Eureka lemon and Persian lime exhibited yellow vein clearing, leaf distortion, and water-soak symptom underside of the leaves, while the other hosts showed only yellowing symptoms on the leaves. The complete genome sequences were obtained from five CYVCV isolates. Comparison of the isolates reported from the different geographical regions and hosts revealed the high sequence identity (95.2% to 98.8%). Phylogenetic analysis indicated that all the five isolates from Korea were clustered into same clade but were not distinctly apart from isolates from China, Pakistan, India, and Türkiye. To develop an efficient diagnosis system for the four viruses, a simultaneous detection method was constructed using multiplex RT-PCR. Sensitivity evaluation, simplex RT-PCR, and stability testing were conducted to verify the multiplex RT-PCR system developed in this study. This information will be useful for developing effective disease management strategies for citrus growers in Korea.