Abstract
Building a livable rural environment is the main process to achieve rural revitalization. An ideal rural environment contains many factors, such as health, safety, convenience and comfort. On the basis of livability, it can also be transformed into a livable ecological environment by promoting harmony between man and nature, thus responding to the policies and calls for sustainable development. At present, the research on ecological and livable environment mainly focuses on environmental improvement and ecological regulation, thus neglecting the research on space environment itself. Under this background, this paper completes the optimization of rural environment public space by introducing data simulation technology and combining high-precision real-time digital images, and then uses HLA to design the system to complete the simulation. The system can receive the data and configuration parameter information of each subsystem, and also can apply the system entity data and information of both sides of space confrontation to complete the target processing. The system itself is mainly divided into three parts: visual display, visual representation and data analysis modules. It can effectively complete the population calculation, building area calculation, living area calculation and proportion analysis of the target rural areas, so as to facilitate decision-makers to conduct reasonable regulation on the design of public space environment by studying data characteristics. This paper analyzes the transformation of rural public space environment by combining data simulation technology with high-precision digital real-time images.
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Yin, C., Zhang, X. Role of high-precision real-time digital image based on data simulation in the construction of rural public space environment. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08376-6
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DOI: https://doi.org/10.1007/s00500-023-08376-6