Urban Design Digital Sand Table System
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Solution Overview
Problem
Existing digital sand table technologies are inadequate for urban design, particularly in handling urban design schemes, multi-source big data integration, and spatial form data, failing to meet the functional demands for urban design project management and coupling analysis.
Innovation Solution
A system for constructing an urban design digital sand table, comprising modules for constructing a digital environment, hierarchical element management, spatial indicator interpretation, spatial calculation tools, offline data extraction, and dynamic real-time editing, enabling the loading and management of urban design schemes within the urban environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing digital sand table technology is used for macroscopic geographical scale applications, then basic terrain display and analysis functions are achieved, but urban design scheme integration and multi-source big data coupling analysis capabilities are insufficient
Solution Approach 1:
The system divides urban design elements into hierarchical levels (building level, block level, neighborhood level, district level) and processes multi-source big data into separate modules (spatial data, attribute data, relationship data). This segmentation allows the system to handle complex urban design requirements by managing them in organized, manageable units while maintaining overall integration capability.
Solution Approach 2:
The system implements a nested structure where building-level details are contained within blocks, which are contained within neighborhoods, which are contained within districts. This nested organization enables the system to display and analyze urban design schemes at multiple scales simultaneously, integrating macroscopic geographical context with microscopic design details.
2Adaptability or versatility
If comprehensive multi-source big data and spatial form data are integrated for urban design, then coupling analysis capability is improved, but system complexity increases
Solution Approach 1:
The system introduces a sand table environment as an intermediary layer between multi-source big data and spatial form data. This environment provides a unified coordinate system, standardized data formats, and integrated processing mechanisms, thereby reducing the complexity of directly integrating diverse data sources while maintaining comprehensive coupling analysis capability.
Solution Approach 2:
The system creates a universal sand table platform that can handle multiple types of data (spatial, attribute, relationship) and perform various analysis functions (coupling analysis, visualization, evaluation) through a common architecture. This multi-functional design reduces overall system complexity by avoiding the need for separate specialized systems for each data type or analysis function.
3Measurement precision
If detailed urban design elements are displayed with high visual precision, then display quality is improved, but data processing and rendering time increases
Solution Approach 1:
The system implements dynamic display that adapts visual precision to user needs and system resources. It provides real-time interaction capabilities where the level of detail displayed can be adjusted dynamically based on the viewing scale, device performance, and user requirements, thereby maintaining high precision where needed while reducing processing load in other areas.
Solution Approach 2:
The system applies different levels of visual precision to different urban design elements based on their importance and the viewing context. Critical design elements receive high-resolution rendering while less critical elements use optimized lower-resolution representations, thereby achieving overall high display quality without uniformly high processing requirements across all elements.
Data Source
AI summary
A system for constructing an urban design digital sand table, the system includes the following modules. A sand table environment constructing module, configured to construct a digital environment of the urban design sand table. An element grading display module, configured to perform hierarchical management on urban design elements, and perform visual hierarchical display. A spatial indicator interpretation module, configured to articulate names, algorithms, and attributes for indicators in an indicator library of the urban design digital sand table. A spatial calculation tool module, configured to load a toolkit to calculate a selected range in the digital sand table. An offline data extraction module, configured to extract the data of the digital sand table so as to export two-dimensional or three-dimensional spatial data in an offline mode. A dynamic real-time editing module, configured to perform real-time editing operation on an urban digital design scheme loaded in the system.