Visualization of Environmental Sensing Data in the Lake-Oriented Digital Twin World: Poyang Lake as an Example

被引:11
作者
Chen, Hao [1 ]
Fang, Chaoyang [1 ,2 ]
Xiao, Xin [1 ,2 ]
机构
[1] Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Peoples R China
[2] Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang 330022, Peoples R China
关键词
digital twin; environmental sensing data; Internet of Things; 3D visualization; Poyang Lake; INTEGRATION; DESIGN; VIDEO;
D O I
10.3390/rs15051193
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Access to real-time environmental sensing data is key to representing real-time environmental changes in the digital twin of lakes. The visualization of environmental sensing data is an important part of establishing a digital twin of lakes. In the past, environmental sensing data display methods were either charts or two-dimensional map-based visualization methods. Breaking through the traditional visualization methods of environmental sensing data and realizing a multi-dimensional and multi-view display of environmental sensing data in a digital twin of lakes is something that this particular paper tries to resolve. This study proposes a visualization framework to integrate, manage, analyze, and visualize the environmental sensing data in the digital twin of lakes. In addition, this study also seeks to realize the coupling expression of geospatial data and long-term monitoring sequence data. Different visualization methods are used to realize the visualization of environmental sensing data in the digital twin of lakes. Using vector and scalar visualization methods to display ambient wireless sensor monitoring data in a digital twin of lakes provides researchers with richer visualization methods and means for deeper analysis. Using video fusion technology to display environmental sensing video surveillance data strengthens the integration of the virtual environment and real space and saves time for position identification using video surveillance. These findings may also help realize the integration and management of real-time environmental sensing data in a digital twin of lakes. The visualization framework uses various visualization methods to express the monitoring data of environmental wireless sensors and increases the means of visualizing environmental sensing data in the world of a lake digital twin. This visualization framework is also a general approach that can be applied to all similar lakes, or other geographical scenarios where environmental sensing devices are deployed. The establishment of a digital twin of Poyang Lake has certain practical significance for improving the digital management level of Poyang Lake and monitoring its ecological changes. Poyang Lake is used as an example to verify the proposed framework and method, which shows that the framework can be applied to the construction of a lake-oriented digital twin.
引用
收藏
页数:21
相关论文
共 56 条
[41]   Big data visual analytics for exploratory earth system simulation analysis [J].
Steed, Chad A. ;
Ricciuto, Daniel M. ;
Shipman, Galen ;
Smith, Brian ;
Thornton, Peter E. ;
Wang, Dali ;
Shi, Xiaoying ;
Williams, Dean N. .
COMPUTERS & GEOSCIENCES, 2013, 61 :71-82
[42]   Utilizing BIM and GIS for Representation and Visualization of 3D Cadastre [J].
Sun, Jing ;
Mi, Siying ;
Olsson, Per-ola ;
Paulsson, Jenny ;
Harrie, Lars .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (11)
[43]   Digital twin modeling [J].
Tao, Fei ;
Xiao, Bin ;
Qi, Qinglin ;
Cheng, Jiangfeng ;
Ji, Ping .
JOURNAL OF MANUFACTURING SYSTEMS, 2022, 64 :372-389
[44]   Digital twins in smart farming [J].
Verdouw, Cor ;
Tekinerdogan, Bedir ;
Beulens, Adrie ;
Wolfert, Sjaak .
AGRICULTURAL SYSTEMS, 2021, 189
[45]   An Interactive Data Visualization Framework for Exploring Geospatial Environmental Datasets and Model Predictions [J].
Walker, Jeffrey D. ;
Letcher, Benjamin H. ;
Rodgers, Kirk D. ;
Muhlfeld, Clint C. ;
D'Angelo, Vincent S. .
WATER, 2020, 12 (10) :1-20
[46]   Construction of Ecological Environment Information System Based on Big Data: A Case Study on Dongting Lake Ecological Area [J].
Wan, Diandi ;
Yin, Shaohua .
MOBILE INFORMATION SYSTEMS, 2021, 2021
[47]   Effects of Video Placement and Spatial Context Presentation on Path Reconstruction Tasks with Contextualized Videos [J].
Wang, Yi ;
Bowman, Doug ;
Krum, David ;
Coelho, Enylton ;
Smith-Jackson, Tonya ;
Bailey, David ;
Peck, Sarah ;
Anand, Swethan ;
Kennedy, Trevor ;
Abdrazakov, Yernar .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2008, 14 (06) :1755-1762
[48]   Contextualized videos: Combining videos with environment models to support situational understanding [J].
Wang, Yi ;
Krum, David M. ;
Coelho, Enylton M. ;
Bowman, Doug A. .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2007, 13 (06) :1568-1575
[49]   Digital twins supported equipment maintenance model in intelligent water conservancy [J].
Wang, Zhoukai ;
Jia, Weina ;
Wang, Kening ;
Wang, Yichuan ;
Hua, Qiaozhi .
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
[50]   A framework for quantitative analysis and differentiated marketing of tourism destination image based on visual content of photos [J].
Xiao, Xin ;
Fang, Chaoyang ;
Lin, Hui ;
Chen, Jingfu .
TOURISM MANAGEMENT, 2022, 93