Floor Plan Coverage Pairing for Building Component Auto-Configuration
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Solution Overview
Problem
Traditional building systems require manual and time-consuming configuration of operational parameters for distributed sensors, which is inefficient and often incompatible across different components, especially when integrating automation and cameras, due to the need for manual intervention and detailed network schemes.
Innovation Solution
A method and system for auto-configuration of building components using a mobile device to place components on a floor plan, estimate coverage regions, and automatically assign operational settings and pairings based on component classification and coverage overlap, allowing for automatic configuration of parameters like entry and exit delays and sensitivity adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of operational parameters is performed by experts, then compatibility and correctness of parameter settings are ensured, but time consumption and installation complexity increase significantly
Solution Approach 1:
The system automatically configures operational parameters by having components self-identify their types and locations, and the controller autonomously determines compatible parameters and their values based on component relationships, eliminating the need for manual expert configuration while ensuring compatibility
Solution Approach 2:
The system dynamically determines parameter values based on component types, locations, and relationships. Different parameter sets are automatically applied depending on the specific configuration scenario, allowing the system to adapt parameters to match compatibility requirements without manual intervention
2Productivity
If default parameter values are provided for common applications, then installation speed is improved, but adaptability to specific mounting locations and applications is reduced
Solution Approach 1:
The system transitions from static default parameters to dynamic parameter determination. The controller automatically selects and adjusts parameter values based on real-time component identification, location data, and compatibility analysis, enabling both rapid deployment and application-specific customization
Solution Approach 2:
The system applies different parameter settings to different components based on their specific mounting locations and application contexts. Each component receives customized parameters determined by its local characteristics and relationships with other components, rather than applying uniform defaults across all installations
3Reliability
If detailed network schemes are created manually by systems architects, then system compatibility and component pairing are ensured, but device complexity and installation effort increase
Solution Approach 1:
Components automatically transmit their identification information to the controller, which then autonomously analyzes compatibility requirements and determines appropriate parameter settings and pairings, eliminating the need for manual network scheme creation by architects
Solution Approach 2:
The system performs compatibility analysis and parameter configuration automatically during the installation process itself, rather than requiring pre-planning of detailed network schemes. The controller determines compatible parameters and pairings based on component relationships as they are installed
Data Source
AI summary
A method for auto-configuration of components in a building includes placing components on a floor plan using a mobile device equipped with a user interface. The coverage region of any given component is estimated and operational settings for each component, including pairing with other components, is automatically assigned based on classification of each component and estimated coverage regions.