The problem of module discrimination and identification in the field of landscape design is the focus of researchers. Based on multimodal intelligent computing, this paper constructs a landscape design system based on deep neural network. The article first uses a deep neural network to train multimodal garden landscape images, and then performs pooling and convolution operations on garden landscape images on the multimodal training model of convergence speed on the edge and solve the problem of low model accuracy. In the simulation process, the neural network module of MATLAB software is used to extract the spatiotemporal features of the dynamic garden landscape image from the three directions of the bottom block of the garden to achieve feature complementarity. This method only uses 15% of the features of the original feature set. The complexity of the recognition system also reduces the recognition error rate. The experimental results show that by adopting the design of feature series fusion, maximum value fusion, and multiplicative fusion in the score layer, the feature series fusion achieves a high accuracy rate under the multiplicative fusion of the three modalities, reaching 77.1%, and the test error is within 0.118, which effectively improves the multimodal characteristics of the integrated landscape and makes the modeling results more accurate.

On the premise of being familiar with ArcGIS Server technology, we build the architecture of the entire platform, including the basic support layer, data layer, service platform layer, and application layer, and build the entire environment of the platform. We make electronic maps through Arc Map, and collect, organize, and improve spatial data and attribute data, so as to achieve satisfactory accuracy and visual comfort. This study implements various map services under the Dojo framework, including basic map operations, information display and query, marker points, eagle eye diagrams, measurement, printing, and other functions, and uses JavaScript technology to improve user experience. We publish various services through ArcGIS Server, and realize fast and error-free invocation of each service. Based on the theory of runoff and runoff, ArcGIS software was used to study the hydrological information of the watershed, and to determine the catchment area threshold and hydrological response unit. Combined with the GIS spatial analysis method, the numerical simulation of rainfall and runoff in the study case area was carried out, and the variation of the annual rainfall-runoff coefficient was obtained. This study selects an area where stock planning was first proposed as the object of this research. Briefly, we introduce the construction of three-dimensional public space in a certain area, select thirteen typical three-dimensional public spaces as representatives for public evaluation, and explore their existing problems, mainly including the lack of adaptability of space functions and the lack of diversity in space design, privatization of operation management, low level of public perception, etc. Since then, in response to the public problems of the three-dimensional public space in a certain area, a targeted three-dimensional public space optimization strategy is proposed from the four levels of planning policy, urban design, management subject, and user subject.

Abstract:In order to reveal the failure mechanism of slope foundation, based on the limit analysis method and the limit equilibrium method, a formula for calculating the bearing capacity of slope foundation considering the influence of soil slope behind the slope is constructed. The calculation program of soil coefficient of slope foundation has been compiled by using FORTRAN language, analyzing the influence of the internal friction angle of slope foundation soil, slope of the slope beside basis up (bottom) of the foundation, from the foundation to slope top and relative depth of foundation to slope foundation bearing capacity upper bound, the coefficients of exertion of the soil on behind the slope foundation with different foundation embedment are obtained. Coefficient of bearing capacity of slope foundation and coefficient of exertion can be used in the theoretical analysis and design of slope foundations.

In this paper, through the in-depth study of advanced intelligent extensive data analysis and the design of the model of the environment design automatic layout intelligent sensor network, we realize the environment design intuitive layout smart sensor network based on advanced thoughtful and extensive data analysis. According to the non-beacon-enabling CSMA/CA algorithm of the MAC layer of a single node in intelligent sensor network, the analysis model of the node MAC layer of the innovative sensor network based on the Markov chain is established. The mathematical calculation method of node MAC layer delay is obtained through the analysis and calculation of nodes’ Markov state transfer process in this model. By analyzing the internal composition of design grooming, data support, analysis modeling, and platform in environmental design big data and the relationship between each part, the industrial extensive data analysis modeling method system is formed based on the CRISP-DM model, based on which the demand analysis of the industrial comprehensive data analysis modeling platform is carried out, and the overall architecture of the platform is formed; this paper proposes an automatic layout algorithm based on strategy iteration for each. Each type of environment design is modeled, and the layout scheme is sequentially generated. The applicability, aesthetics, and comfort are considered, but the design information provided by the space contour can be regarded to develop a reasonable layout scheme. The experimental results show the rationality and versatility of the automatic layout schemes, proving the practicality and time-saving nature of the work.