Building Design System Using Peripheral Data Models
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Solution Overview
Problem
Conventional building design methods are inefficient and often fail to meet client requirements due to inaccurate initial specifications, leading to time-consuming and labor-intensive design processes with potential for unreasonable designs and high modification needs.
Innovation Solution
A building design system that includes a cadastral land parcel evaluating device and scheme generating device, which uses location and peripheral information to create multiple data models and design schemes, allowing for efficient generation of optimized building designs that meet specific indicators and user demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional building design methods are used with manual data collection and iterative design adjustments, then designers can create building designs, but the design process consumes large amounts of time and energy with low efficiency
Solution Approach 1:
The system performs preliminary actions by automatically collecting and analyzing peripheral information (economy, community, transportation) and generating multiple data models (economic vitality, economic value, noise analysis, viewshed analysis) before the design process begins. This pre-processing of data eliminates the need for manual data collection and iterative adjustments during design, directly improving efficiency and reducing time consumption.
Solution Approach 2:
The patent introduces an intermediary system (the building design system with automated data collection and analysis modules) that mediates between the raw peripheral information and the final design schemes. This intermediary automatically processes and structures the data, replacing manual iterative adjustments and significantly reducing design time while maintaining high productivity.
2Adaptability or versatility
If designers manually adjust and feedback design schemes repeatedly to meet client requirements, then design modifications can be made, but the process consumes large amounts of time and energy
Solution Approach 1:
The system performs preliminary analysis of client requirements and generates multiple pre-evaluated design schemes that already consider various requirements. By pre-processing and pre-evaluating designs against multiple criteria, the system reduces the need for repeated manual adjustments and feedback loops, thereby maintaining adaptability while significantly reducing modification time.
Solution Approach 2:
The patent implements an automated feedback mechanism where the system evaluates design schemes against multiple data models and requirements, then automatically adjusts and generates improved schemes. This automated feedback loop replaces manual iterative adjustments, maintaining high adaptability to client requirements while reducing the time and energy consumed in the modification process.
3Ease of operation
If conventional design software with simple functionality is used, then the software is easy to operate, but it cannot provide quick and accurate design schemes requiring repetitive operations
Solution Approach 1:
The patent transforms a simple design software into a multi-functional system that automatically performs data collection, peripheral information analysis, multiple data model generation, and design scheme evaluation. By integrating multiple functions into one system, it maintains ease of operation (users only need to input basic requirements) while dramatically improving productivity through automated comprehensive analysis and rapid scheme generation.
Solution Approach 2:
The system implements self-service by automatically collecting peripheral information, generating data models, and creating multiple design schemes without requiring repetitive manual operations from designers. The software serves itself by automating the complex analytical tasks, maintaining simplicity for the user while achieving high-speed accurate design scheme generation.
4Productivity
If inaccurate requirements are provided by real estate developers, then the design process can begin, but the final design scheme has problems requiring huge modifications
Solution Approach 1:
The system performs preliminary validation and analysis of the requirements provided by real estate developers against multiple data models (economic vitality, economic value, noise analysis, viewshed analysis). By pre-identifying inconsistencies or inaccuracies in the requirements before the main design process, the system prevents propagation of errors and reduces the need for huge modifications later, thereby improving scheme accuracy while reducing modification time.
Data Source
AI summary
A building design method, device, system and storage medium, which obtains the location information of the target cadastral land parcel, and based on such location information, obtains peripheral information of the target cadastral land parcel such as the economy information, community information and transportation information, and based on such economy information, community information and transportation information, controls the cadastral land parcel evaluating device to generate multiple data models of the target cadastral land parcel; such multiple data models comprise economic vitality model, economic value model, noise analysis model and viewshed analysis model, then obtains the indicator data of the target cadastral land parcel such as floor area ratio, land area, city, land usage, functional composition, and the building density, and finally controls the scheme generating device to generate multiple building design schemes based on the data model and the indicator data.