KEYWORDS: 3D modeling, Fire, Data modeling, Visualization, Visual process modeling, Roads, Image visualization, Materials properties, Design and modelling, Combustion
In the research of 3D linear scene construction, the scene construction method based on time or data is difficult to be event-centered, and there is the problem of data redundancy in the construction process. The event driver drives the change in the impact factor of an event during transaction dispatch by calling the corresponding event execution function to finally solve the problem and prevent the transaction from piling up. Based on linear reference model and event-driven, this paper proposes an event-driven model under linear reference system, and then realizes the construction of 3D linear scene driven by event model. Firstly, the basic event model is established by combining the characteristics of linear scene data band distribution. According to the types and logical relations of events in linear scene, the events are classified and the event coding rules under linear reference system are designed to make the event change drive the model attribute change in linear scene. The unified mapping relationship between events and objects is established, and the linear scene construction rules based on event-driven model are designed. Finally, experiments on the construction of dynamic highway scenes were conducted, and the construction of 3D linear scenes based on the event-driven model was realized, and the smoothness of scene rendering was significantly improved compared with the traditional method. The feasibility of efficient construction of 3D linear scenes based on event-driven model is verified. It is of great significance for highway emergency security.
KEYWORDS: 3D modeling, Safety, Semantics, Modeling, Data modeling, Equipment, Geographic information systems, Instrument modeling, 3D displays, Visual process modeling
Aiming at the problems of complex scene objects, lack of correlation between them, close coupling between modelling knowledge and modelling process, and low flexibility of scene configuration in dam safety monitoring scene construction, this paper proposes a multi-level semantic constraint method for dam safety monitoring scene construction. First, based on the analysis of the characteristics of dam safety monitoring scene modelling operations and modelling knowledge expression, modelling knowledge is extracted from spatial pose semantic constraints, spatial layout semantic constraints and component combination semantic constraints, and modelling knowledge and modelling operations are stored in a parametric way. Then, after the multi-level semantic constraint rules constrain and guide the way the scenario objects are combined, the dam safety monitoring scenario is generated. A prototype dam safety monitoring system is developed based on this approach to validate the effectiveness of the method.
Monomerization is one of the important aspects of tilt photography models in practical applications, but the monomerized models lack rich semantic information. In this paper, a multi-scale coupling mechanism of semantic information and monomerization model is designed. Firstly, semantic consistency processing is performed on the crowd source data to obtain rich semantic information. Then, a semantic information classification table is constructed, and two-dimensional semantic information based on CityGML level of detail fusion rules are designed to join the multi-scale functional areas based on CityGML. Finally, multi-scale semantic information is assigned to the monolithic model based on the inclusion relationship between functional areas and buildings. The results of this paper show that the proposed method can integrate the query of the structure and location of 3D monolithic models as well as their rich semantic information, thus providing data support for the application of 2D and 3D systems for data analysis.
KEYWORDS: 3D modeling, Engineering, Distortion, Roads, Data modeling, 3D projection, Visual process modeling, Visualization, Systems modeling, Geographic information systems
At present, when the ultra-long linear 3D model is loaded in the 3D scene, it is difficult to adapt the ultra-long line model to the terrain model due to the influence of projection distortion. At present, some solutions mainly focus on the model rendering level, without considering the necessity of linear engineering construction, which is hard to encounter the requirements of 3D visualization in the meadow of linear engineering management. Therefore, this paper conducts research from two aspects of projection distortion calculation and analysis, linear engineering independent coordinate system establishment and so on, and puts forward the method of line model loading based on linear independent coordinate system piecewise technology. Firstly, the linear engineering projection distortion is calculated and analyzed. Then, based on the requirements of linear engineering construction accuracy, multiple independent coordinate systems that meet the accuracy requirements are constructed according to the characteristics of linear engineering. Finally, the 3D model of the ultra-long line is piecewise loaded, and the influence caused by the distortion of the projection length is apportioned through each independent coordinate system. The practical consequence indicate that this method can virtually optimize the difficult problem of model and terrain acclimatization caused by projection distortion, and meet the rendering requirements of linear engineering 3D models.
At present, in the related research of 3D line scene, the multi-scale expression method is mostly used to describe the detail degree of geographical features, and there is a lack of a method to describe objects from the perspective of granularity, so it is hard to meet the application requirements of objects in different scenarios. This paper introduces quotient space theory and proposes a representation method of highway geographic entities at different granularity levels. Firstly, the conditions that can be divided into highway geographical entities within the same granularity are determined. Then, the granularity partition model of highway geographic entities is constructed from three aspects: text similarity, literal similarity and semantic distance similarity. Finally, each quotient space is organized by the theory of quotient space particle size synthesis, and the whole geographical entity is divided into multiple granularities, and the experimental verification is carried out. The results show that the method can well meet the multi-level and multi-granularity requirements of geographic entities, and realize the hierarchical optimization of expressway scenes.
KEYWORDS: Data modeling, Data storage, Geographic information systems, Visualization, Data acquisition, Visibility, Signal processing, Mining, Matrices, Analytical research
Spatio-temporal field data is one of the primary forms of digital representation of geographic objects, characterized by massive, multidimensional, complex evolution and analysis-oriented, etc. The organization, management, and analysis of the above data have become important bottlenecks of existing information systems. Moreover, the analysis of dynamic evolution behavior of Spatio-temporal field data is less studied. The correlation between attributes and time is not studied enough, making it difficult to carry out smooth and accurate dynamic simulation and expression in the scene. Therefore, this paper proposes a dynamic organization and description scheme of Spatio-temporal field data based on tensor Tucker decomposition. Firstly, the Spatio-temporal field data is organized based on tensor Tucker decomposition, and the original Spatio-temporal field data is chunked according to time. The Spatio-temporal field data sub-packaging mechanism and dynamic evolution description scheme are designed based on the description document and the field data structure itself; Design time-space field data attributes and the expression relationship of time attributes. Finally, the Spatio-temporal deformation field data model in ground subsidence monitoring is used for applied research. The experimental results show that the dynamic evolution method of Spatio-temporal field data based on tensor decomposition proposed in this paper can achieve accurate dynamic simulation representation of Spatio-temporal field data in geographic scenes.
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