RETRACTED ARTICLE: Study on mountain landslide distribution characteristics and 3D printing and its performance based on human machine interaction network
Landslide is a huge impact and destructive force in the world. Often leading to people’s lives and production suffers extremely significant damage. People have seriously changed the geographical environment and geological appearance and seriously restrict the rapid economic development. Human-machin...
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Veröffentlicht in: | Arabian journal of geosciences 2021, Vol.14 (14), Article 1381 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Landslide is a huge impact and destructive force in the world. Often leading to people’s lives and production suffers extremely significant damage. People have seriously changed the geographical environment and geological appearance and seriously restrict the rapid economic development. Human-machine interaction technology has emerged and applied and has been integrated into artificial intelligence technology. Human-machine interaction is also extended from the initial graphics page, gradually expanding to language interaction, gesture detection, and brain and computer. This paper studies the performance of graphical personalization and the help of the computer, thereby making the printing of the 3D printing machine more optimized and improved. Print 3D printers can be printed quickly by creating related models and designed and established for complicated model data systems. In addition, the nonlinear seismic risk model is determined by the atria of fuzzy object theory and disaster theory. For the study of regional earthquakes, there is a unique deformation mechanism and tomography mode, and the effective assessment indicators and weight selection methods are pointed to enhance landslide risk. Perform predecessor accuracy. Through 3D digital printing models and remote sensing images, the three-dimensional intelligent system is produced to quickly explain the characteristics of landslides and is a new experiment in the study of mountain landslide in the region. |
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ISSN: | 1866-7511 1866-7538 |
DOI: | 10.1007/s12517-021-07749-1 |