Forest digital twin: A new tool for forest management practices based on Spatio-Temporal Data, 3D simulation Engine, and intelligent interactive environment

Qiu, Hanqing; Zhang, Huaiqing; Lei, Kexin; Zhang, Huacong; Hu, Xingtao

doi:10.1016/j.compag.2023.108416

Cited by 3 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The solid material C enters the raw material C hopper with the conveyor belt. When encountering a special scenario, the visualized production line does not rely on calculating the motion paths of 3D models for display but instead creates a large number of corresponding animations for fixed equipment movements [31][32][33] . Playing fixed animations only involves retrieving animation resources and does not involve the calculation of 3D modeling motion paths or rendering of images.…”

Section: Simulated Production Line and Visualized Production Linementioning

confidence: 99%

“…Note that the blue pipeline represents the delivery of aqueous liquid component A, the yellow pipeline represents the delivery of oily liquid B, and the black pipeline represents the delivery of the mixed liquid. The other colors in the figure represent the actual appearance of the equipment in reality.When encountering a special scenario, the visualized production line does not rely on calculating the motion paths of 3D models for display but instead creates a large number of corresponding animations for fixed equipment movements[31][32][33] . Playing fixed animations only involves retrieving animation resources and does not involve the calculation of 3D modeling motion paths or rendering of images.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Synchronizing Controlled Logistics Terminals between Simulated and Visualized Production Lines Using An ASTAK Method

Wang,

DONG,

wang

et al. 2024

Preprint

View full text Add to dashboard Cite

In a fully automated factory, the Visualized Production Line serves as a crucial tool for management personnel to understand production progress and monitor the manufacturing process. The synchronization between the visualized line and the actual production line significantly impacts the efficiency of production supervision. Taking Controlled Logistics Terminals as an example, this article proposes the AS-TA-KS Method, which encompasses three steps: Animation Simplification, Timing Alignment, and Keyframe Synchronization. This method aims to achieve precise synchronization between the Simulated Production Line and the Visualized Production Line, while ensuring that the process data of the simulated line is not directly accessed. The experiment demonstrates that the method can maintain the time difference between simulated and visualized production line below an average of 0.08 seconds, with a synchronization rate of 99.97%. Our method advances the state-of-the-art method by an average of 5.22%. This case provides support for the real-time and reliability of modern intelligent manufacturing.

show abstract

Section: Simulated Production Line and Visualized Production Linementioning

confidence: 99%

mentioning

confidence: 99%

Synchronizing Controlled Logistics Terminals between Simulated and Visualized Production Lines Using An ASTAK Method

Wang,

DONG,

wang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…These systems support the real-time monitoring and management of spatial objects to achieve sustainable development in a rapidly changing world [6,7]. Such systems are developed with the use of new technologies [1,2,8,9] that exchange data with digital twins [10]. Data collection systems and automated systems for generating digital models in real-time are needed to develop and update the digital twins [11].…”

Section: Introductionmentioning

confidence: 99%

“…Digital twin models recognize the importance of vegetation and trees not only in urban spaces. Real-world trees and forests are represented with the use of TIM [5,13,31] and Forest Digital Twin (FDT) models [8,13]. Based on the CityGML standard, trees can be modeled at LOD0 through LOD4 level of detail [32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Geometry of Tree Trunks Using LiDAR Data

Tarsha Kurdi,

Gharineiat,

Lewandowicz

et al. 2024

Forests

View full text Add to dashboard Cite

The effective development of digital twins of real-world objects requires sophisticated data collection techniques and algorithms for the automated modeling of individual objects. In City Information Modeling (CIM) systems, individual buildings can be modeled automatically at the second Level of Detail or LOD2. Similarly, for Tree Information Modeling (TIM) and building Forest Digital Twins (FDT), automated solutions for the 3D modeling of individual trees at different levels of detail are required. The existing algorithms support the automated modeling of trees by generating models of the canopy and the lower part of the trunk. Our argument for this work is that the structure of tree trunk and branches is as important as canopy shape. As such, the aim of the research is to develop an algorithm for automatically modeling tree trunks based on data from point clouds obtained through laser scanning. Aiming to generate 3D models of tree trunks, the suggested approach starts with extracting the trunk point cloud, which is then segmented into single stems. Subsets of point clouds, representing individual branches, are measured using Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS). Trunks and branches are generated by fitting cylinders to the layered subsets of the point cloud. The individual stems are modeled by a structure of slices. The accuracy of the model is calculated by determining the fitness of cylinders to the point cloud. Despite the huge variation in trunk geometric forms, the proposed modeling approach can gain an accuracy of better than 4 cm in the constructed tree trunk models. As the developed tree models are represented in a matrix format, the solution enables automatic comparisons of tree elements over time, which is necessary for monitoring changes in forest stands. Due to the existence of large variations in tree trunk geometry, the performance of the proposed modeling approach deserves further investigation on its generality to other types of trees in multiple areas.

show abstract

Digital Twins in Agriculture: A Review of Recent Progress and Open Issues

Wang

2024

Electronics

View full text Add to dashboard Cite

Digital twin technology is expected to transform agriculture. By creating the virtual representation of a physical entity, it assists food producers in monitoring, predicting, and optimizing the production process remotely and even autonomously. However, the progress in this area is relatively slower than in industries like manufacturing. A systematic investigation of agricultural digital twins’ current status and progress is imperative. With seventy published papers, this work elaborated on the studies targeting agricultural digital twins from overall trends, focused areas (including domains, processes, and topics), reference architectures, and open questions, which could help scholars examine their research agenda and support the further development of digital twins in agriculture.

show abstract

Forest digital twin: A new tool for forest management practices based on Spatio-Temporal Data, 3D simulation Engine, and intelligent interactive environment

Cited by 3 publications

References 20 publications

Synchronizing Controlled Logistics Terminals between Simulated and Visualized Production Lines Using An ASTAK Method

Synchronizing Controlled Logistics Terminals between Simulated and Visualized Production Lines Using An ASTAK Method

Modeling the Geometry of Tree Trunks Using LiDAR Data

Digital Twins in Agriculture: A Review of Recent Progress and Open Issues

Contact Info

Product

Resources

About