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다양한 지표모형을 활용한 토양수분 예측 성능 평가 연구
장예근 ( Jang Ye-geun ),신승훈 ( Sin Seoung-hun ),이태화 ( Lee Tae-hwa ),장원석 ( Jang Won-seok ),신용철 ( Shin Yong-chul ),장근창 ( Jang Keun-chang ),천정화 ( Chun Jung-hwa ),김종건 ( Kim Jong-gun ) 한국농공학회 2022 한국농공학회논문집 Vol.64 No.1
Soil moisture is significantly related to crop growth and plays an important role in irrigation management. To predict soil moisture, various process-based model has been developed and used in the world. Various models (Land surface model) may have different performance depending on the model parameters and structures that causes the different model output for the same modeling condition. In this study, the three land surface models (Noah Land Surface Model, Soil Water Atmosphere Plant, Community Land Model) were used to compare the model performance (soil moisture prediction) and develop the multi-model simulation. At first, the genetic algorithm was used to estimate the optimal soil parameters for each model, and the parameters were used to predict soil moisture in the study area. Then, we used the multi-model approach based on Bayesian model averaging (BMA). The results derived from this approach showed a better match to the measurements than the results from the original single land surface model. In addition, identifying the strengths and weaknesses of the single model and utilizing multi-model methods can help to increase the accuracy of soil moisture prediction.
장예근 ( Yegeun Jang ),김채현 ( Chae Hyeon Kim ),조준휘 ( Jun Hwi Cho ),정회준 ( Hoe Jun Jung ),지봉준 ( Bongjun Ji ),연재흠 ( Jaeheum Yeon ),임경재 ( Kyoung Jae Lim ) 한국농공학회 2022 한국농공학회 학술대회초록집 Vol.2022 No.-
The concepts and technologies of the digital twin are getting introduced to the agricultural engineering field to produce a virtual representation of agricultural infrastructure for real-time communication between the infrastructure on-site and its 3D model that is mimically reproduced in the virtual environment. At the 2021 Korea Society of Agricultural Engineers annual conference, This research team introduced how building information model can be displayed on the GIS-based digital twin platform. Based on the result this research team achieved, this study introduces how a digital map can be visualized on top of the BIM-GIS-based digital twin system. To achieve the research objective of this study, the source code of the digital twin platform had to be revised to load a geo JSON data source. In detail, a terrain JSON link associated with a digital map that we want to visualize on top of the GIS-BIM digital twin platform should be inserted into the file path. After that, the function of ‘clamp to ground’ should be revised as “true” to visualize the digital map on top of the existing digital twin system. After revising the existing source code, the digital map was successfully located where the user wants to put it. Therefore, since this study successfully demonstrated how to visualize not only building information model but also a digital map on the 3D GIS-based digital twin platform, the primary purpose of the digital twin could be taken one step closer to its practicality. This study is expected to be connected with the next research associated with the GIS-based digital twin platform in the agricultural engineering field.
멀티 디스플레이 시스템을 이용한 농업용 사회기반시설물 진단법
김채현 ( Chae Hyeon Kim ),장예근 ( Yegeun Jang ),조준휘 ( Jun Hwi Cho ),지봉준 ( Bongjun Ji ),연재흠 ( Jaeheum Yeon ),송유섭 ( Yooseob Song ),강호영 ( Julian Kang ) 한국농공학회 2022 한국농공학회 학술대회초록집 Vol.2022 No.-
Since construction materials employed to construct the infrastructure are often exposed to water and moisture, the life of the infrastructure is rapidly reduced than originally expected due to their aging acceleration. In particular, the surfaces of agricultural infrastructure, which cannot avoid contact with water, deteriorate faster than other infrastructures because moss and moisture-saturated sediments make them quickly deteriorate. Therefore, the inspection of agricultural infrastructure should be frequently and periodically performed. However, the existing infrastructure damage inspection methods are labor-intensive and huge indirect cost loss inevitable. Therefore, using a digital twin technology and a multi-display system, a new method is introduced that can detect damages to the agricultural infrastructures indoors rather than in the field. The multi-display system was operated on the BIM CAVE application developed by Dr. Julian Kang of Texas A&M University after revising the existing BIM CAVE application source code to be compatible with Autodesk Navisworks 2022. For producing a 3D model of agricultural infrastructure, aerial photography was performed using a drone with an ultra-high-definition camera attached. Also, a digitally twined 3D model of the infrastructure that reflected its on-site condition was created using photogrammetry based on taken photos. A simple survey (Kangwon National University IRB 2022-01-005-001) was conducted to investigate whether or not the proposed method enhances the sense of presence or the perception when the user tries to look for the damages to the agricultural infrastructure in the virtual environment. As a result, the proposed method could be an advanced infrastructure health monitoring approach if some minor technical limitations of the commercial software are overcome.