Semantic Building Automation Modeling for Faster Project Generation
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Solution Overview
Problem
The complexity of building automation projects involves interplay among different experts with varying backgrounds, often requiring tedious adaptations and lacking consistent documentation, leading to inefficiencies and repeated efforts in each new project.
Innovation Solution
A computer-implemented method for generating building automation projects by receiving structural information, automatically extracting equipment information using methods like computer vision and data fusion, extending the semantic model with application information, and generating a project adaptable for loading on building automation devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual processing of structural information is used to create building automation projects, then experts can adapt and customize projects according to specific needs, but the process becomes complex, time-consuming, and requires coordination of multiple experts with different backgrounds
Solution Approach 1:
The patent introduces a semantic model as an intermediary layer between structural information and building automation projects. This semantic model automatically extracts and structures equipment information from various input formats (architectural drawings, HVAC schemas, electrical schemas), serving as a mediator that translates diverse inputs into a standardized format that can be extended with application information and converted into final projects, thereby reducing the need for manual coordination among multiple experts
Solution Approach 2:
The patent performs preliminary extraction and structuring of equipment information from structural information before the actual project creation process. By pre-processing the structural information into a semantic model with standardized equipment data, the system prepares the foundation in advance, allowing subsequent project generation to be more efficient and requiring less manual adaptation work
2Adaptability or versatility
If manual processing and adaptation is performed at each stage of building automation project creation, then projects can be customized for specific buildings, but previous work and experiences cannot be sufficiently taken into account for other projects
Solution Approach 1:
The patent creates a reusable semantic model structure that captures equipment information in a standardized format. This semantic model serves as a template or copy that can be extended with different application information for various projects, allowing previous work and experiences to be reused across multiple projects while still allowing customization through the extension process
Solution Approach 2:
The semantic model is designed as a universal structure that can handle different types of structural information (architectural drawings, HVAC schemas, electrical schemas) and generate different types of building automation projects. This multi-functional approach allows the same core methodology to be applied across diverse projects, reducing development time while maintaining adaptability
3Stability of the object's composition
If consistent documentation and uniform description are implemented across all building automation projects, then information consistency is improved, but the initial processing and coordination requirements increase
Solution Approach 1:
The semantic model acts as an intermediary that enforces consistent documentation standards by automatically extracting and structuring equipment information in a uniform format from various input sources. This intermediary layer handles the complexity of standardization, providing consistent output without requiring manual coordination to establish and maintain documentation standards across projects
Data Source
AI summary
Various embodiments of the teachings herein include a computer-implemented method for generating a building automation project of a building automation system. The method may include: receiving structural information regarding building equipment; generating a semantic model of the building automation system, including automatically extracting equipment information from the structural information; extending the semantic model of the building automation system by providing application information; and generating, based on the equipment information and application information of the extended semantic model, a building automation project adapted for loading on a building automation device.