Building Data Health Scoring for Occupant-Driven Performance Updates
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Solution Overview
Problem
Building systems often operate inefficiently, affecting user health, energy usage, and environmental pollution, with existing solutions failing to comprehensively integrate external scoring models and occupant feedback to optimize building performance.
Innovation Solution
A building system that integrates external scoring models and occupant feedback to generate scores for building health, space health, and environmental impact, implementing updates to improve scores through updates to operating settings, maintenance, and new system additions, while providing user interfaces for feedback validation and recommendation display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If building systems operate autonomously without external scoring models, then system simplicity is maintained, but building performance optimization and health monitoring are insufficient
Solution Approach 1:
The patent introduces external scoring models as intermediary components that assess building system performance without requiring fundamental changes to the core building systems. These models act as mediators between building operations and optimization goals, providing performance scores that guide improvements while maintaining system autonomy and simplicity.
Solution Approach 2:
The building performance optimization system is segmented into independent modular components: data collection from building systems, external scoring model evaluation, performance gap analysis, and recommendation generation. This segmentation allows each component to function independently, improving overall performance without proportionally increasing system complexity.
2Reliability
If comprehensive building monitoring is implemented, then building health and user wellbeing are improved, but data processing complexity and computational requirements increase
Solution Approach 1:
The patent extracts the complex data processing and scoring computation functions from the building management system and relocates them to external scoring models. This extraction allows the building system to maintain reliable monitoring while minimizing local data processing complexity by leveraging external computational resources.
Solution Approach 2:
The system implements feedback loops where performance scores from external models are continuously fed back to guide building system adjustments. This feedback mechanism improves building health monitoring reliability by using processed performance data to drive corrective actions, while the automated nature of feedback reduces manual data processing complexity.
3Measurement precision
If external scoring models are integrated into building systems, then performance measurement accuracy is improved, but system adaptability to different building types decreases
Solution Approach 1:
The patent implements dynamic scoring model selection and configuration that adapts to different building types, sizes, and functions. The system can dynamically adjust which external scoring models are applied and how they are weighted, maintaining measurement precision across diverse building portfolios while preserving adaptability to specific building characteristics.
Solution Approach 2:
The building performance management system is designed with universal architecture that can accommodate multiple external scoring models and building types through a common interface framework. This multi-functionality allows the same system infrastructure to support precise performance measurement across residential, commercial, industrial, and public buildings without sacrificing adaptability.
4Object-generated harmful factors
If frequent building system updates are implemented to improve scores, then environmental sustainability and energy efficiency are enhanced, but operational disruption and maintenance costs increase
Solution Approach 1:
The patent employs preliminary action by using external scoring models to identify performance gaps and prioritize optimization opportunities before implementing changes. This advance planning allows building operators to schedule updates during optimal times, minimizing operational disruption while achieving environmental sustainability goals through targeted, pre-planned improvements.
Solution Approach 2:
The system optimizes building performance by making targeted parameter changes (such as temperature setpoints, equipment schedules, or operational modes) rather than requiring complete system overhauls. These incremental parameter adjustments reduce environmental harmful factors while minimizing operational disruption and maintenance costs compared to comprehensive system replacements.
Data Source
AI summary
A building system operates to receive building data from one or more building data sources associated with the building, wherein at least a portion of the building data is associated with control of the one or more environmental conditions of the building and generate, based on the building data, one or more data quality indicators for the building data received from the one or more building data sources, the one or more data quality indicators indicating quality levels of the building data. The building system operates to generate user interface data configured to cause a user device to display a user interface providing indications of the one or more data quality indicators.