Visualization Elements in the Examination of Dangerous Production Facilities using an Unmanned Aircraft

Q4 Computer Science Scientific Visualization Pub Date : 2023-06-01 DOI:10.26583/sv.15.2.10
A.E. Kozlova, M. Narkevich, O. Logunova, K.E. Shakhmayeva
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Abstract

The paper considers the possibility of using visualization when preparing a task for frontal surface examination of hazardous industrial facilities using unmanned aerial vehicles. The research is based on the results of an experimental survey of buildings and structures of a large metallurgical enterprise in Russia. As initial data, photographs of buildings and structures obtained using a camera of an unmanned aerial vehicle and their drawings were used. When building a 3D model, the capabilities of Autodesk AutoCAD and Autodesk Revit were used. When building a 2D information model, a combination of a 3D model and a photograph of the object was used. The resulting 3D and 2D models are included in the structure of the flight chart as part of an applied digital platform in an automated decision-making system for expert assessment of the technical condition compliance of a hazardous production facility with regulatory requirements. Violation of regulatory requirements entails the occurrence of emergencies and incidents at an industrial enterprise. Visualization elements allow increasing the reliability of information entering the database of expert information.
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使用无人驾驶飞机检查危险生产设施中的可视化要素
本文考虑了在准备使用无人机进行危险工业设施正面检查任务时使用可视化的可能性。该研究基于对俄罗斯一家大型冶金企业建筑物和结构的实验调查结果。作为初始数据,使用了使用无人驾驶飞行器相机获得的建筑物和结构的照片及其图纸。在构建3D模型时,使用了Autodesk AutoCAD和Autodesk Revit的功能。在建立二维信息模型时,使用了三维模型和物体照片的组合。生成的3D和2D模型包含在飞行图的结构中,作为自动化决策系统中应用数字平台的一部分,用于专家评估危险生产设施的技术条件是否符合法规要求。违反法规要求,工业企业就会发生突发事件和事故。可视化元素允许增加进入专家信息数据库的信息的可靠性。
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来源期刊
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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