Development of a VR simulator for educating CFD-computed internal environment of piglet house

Kim, Rack-woo; Kim, Jun-Gyu; Lee, In-Bok; Yeo, Uk-Hyeon; Lee, Sang-yeon

doi:10.1016/j.biosystemseng.2019.10.024

Cited by 16 publications

(5 citation statements)

References 39 publications

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“…Although the evaluation of the 3D landscape design effect not only includes concentrated areas of green and blue, but gray in the glass curtain wall, with a strong sense of science and technology, the above three colors are typical representatives of low carbon emission and play a boosting role in the quantitative and qualitative research of green and low carbon. This is consistent with the research results of Kim 2021) who used VR technology for the visualized analysis of human and animal sensory recognition in the fields of environment, color, and carbon emission [61][62][63]. Moreover, this research also has some limitations.…”

Section: Discussionsupporting

confidence: 90%

Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference

Lin

Wang

et al. 2022

Land

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Three-dimensional geovisualization in landscape design can be used to evaluate the efforts of mitigating CO2 emissions. This study evaluated subjects’ emotional preferences for 3D landscape design through an eye movement tracking experiment. In the case that the color of the building materials was positively correlated with low carbon emissions, green, blue, and gray were typical representatives of low carbon emissions. Through the eye movement tracking experiment, subjects’ emotional preferences for different building colors were obtained. The results show that the fixation trajectory is consistent with the preset green and energy saving parameters, and the design effect of the architectural landscape can be evaluated by detecting virtual eye movement tracking. There is a coupling relationship between virtual eye movement tracking, expert interviews, and evaluation results, so that it presents a logical relationship between virtual eye movement, the color of low-carbon materials, and carbon emissions. In addition, the affective preference analysis and entropy weight method confirmed their effectiveness in the evaluation of the 3D landscape design effect, which had a positive impact on the CO2 emission reduction of the construction industry. These results will contribute to the development of 3D landscape design in the architecture industry and provide new ideas and methods for the carbon peak project.

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Section: Discussionsupporting

confidence: 90%

Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference

Lin

Wang

et al. 2022

Land

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“…(4) Combine with new technologies: By combining with other technologies, CFD is more advanced, intelligent, and visual. Kim et al [88] applied the results of CFD calculations, such as internal airflow, air temperature, humidity, and gas, to a VR simulator.…”

Section: Applications Of Cfdmentioning

confidence: 99%

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

et al. 2023

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The environment in livestock and poultry houses plays an important role in the growth and reproduction of livestock and poultry. In order to obtain the environmental conditions of livestock and poultry houses in a timely and reliable manner, and eliminate adverse environmental factors, scholars have been exploring various methods to obtain and predict environmental factors. This paper reviewed the literature from the last 10 years, specifically focusing on technologies for detecting environmental factors in livestock and poultry houses, which can be mainly divided into three categories: research on the environmental monitoring and control of livestock and poultry houses based on detection equipment and wireless sensor technology; research on the distribution and regularity of environmental factors in livestock and poultry houses based on a mathematical model; research on the environmental simulation and detection of livestock and poultry houses based on computer technology. The current testing methods have their advantages and disadvantages. When studying environmental factors, researchers should choose the most appropriate method for data acquisition according to the actual situation. The proposed recommendations for achieving this goal are as follows: (1) The control of environmental factors should be combined with the physiological response of livestock and poultry. The needs of animals should be considered; (2) Novel approaches need to be developed to integrate energy requirements into the environmental regulation of livestock and poultry houses; (3) It is necessary to research and develop control models and strategies that can predict the environment in the houses, and the transient simulation method should be further explored; (4) Improve environmental detection and control accuracy through the coupling of different technologies.

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“…Although VR has been widely applied as an educational method in industry, there are a few researches about VR in agriculture domain. For instance, Kim et al developed an educational simulator by VR technology for a better farmer education compared with two-dimensional screens [156]. Besides, a VR simulator that contributes to technical training of maintenance of agricultural machinery was developed [157].…”

Section: E Virtual Reality (Vr) and Augmented Reality (Ar)mentioning

confidence: 99%

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

Yang

Shu

Chen

et al. 2021

IEEE/CAA J. Autom. Sinica

244

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With the deep combination of both modern information technology and traditional agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come. Smart agriculture provides solutions for agricultural intelligence and automation. However, information security issues cannot be ignored with the development of agriculture brought by modern information technology. In this paper, three typical development modes of smart agriculture (precision agriculture, facility agriculture, and order agriculture) are presented. Then, 7 key technologies and 11 key applications are derived from the above modes. Based on the above technologies and applications, 6 security and privacy countermeasures (authentication and access control, privacy-preserving, blockchain-based solutions for data integrity, cryptography and key management, physical countermeasures, and intrusion detection systems) are summarized and discussed. Moreover, the security challenges of smart agriculture are analyzed and organized into two aspects: 1) agricultural production, and 2) information technology. Most current research projects have not taken agricultural equipment as potential security threats. Therefore, we did some additional experiments based on solar insecticidal lamps Internet of Things, and the results indicate that agricultural equipment has an impact on agricultural security. Finally, more technologies (5G communication, fog computing, Internet of Everything, renewable energy management system, software defined network, virtual reality, augmented reality, and cyber security datasets for smart agriculture) are described as the future research directions of smart agriculture.

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Development of a VR simulator for educating CFD-computed internal environment of piglet house

Cited by 16 publications

References 39 publications

Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference

Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

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