Building Wellness Index for Real-Time Health Risk Detection
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Solution Overview
Problem
Current methods for managing building wellness lack efficiency and accuracy in collecting and processing data related to air and water quality, occupancy, and health metrics, making it difficult to quickly assess and respond to potential health risks such as viral contamination within buildings.
Innovation Solution
A computer-implemented system that collects and processes wellness parameters like occupancy data, air quality, water quality, and occupant health reports to calculate a building wellness index, using machine learning models and sensors to provide automated and data-driven insights for improving building safety and health conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to collect and process building wellness data, then device complexity is reduced, but measurement precision and productivity deteriorate
Solution Approach 1:
The patent introduces a building management system as an intermediary that automatically collects, processes, and analyzes wellness data from multiple sources including sensors, building systems, and external databases. This intermediary system resolves the contradiction by handling the complex data processing tasks that would be impossible manually, thereby achieving high measurement precision without requiring manual intervention in the complex processing workflow
Solution Approach 2:
The patent replaces manual mechanical data collection and analysis methods with automated electronic systems including IoT sensors, machine learning models, and data processing algorithms. This substitution enables precise real-time monitoring of air quality, occupancy, and other wellness parameters while eliminating the need for manual data gathering and analysis
2Productivity
If real-time wellness monitoring is implemented, then productivity is improved, but loss of time for data collection and processing increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing wellness data in real-time before crises occur. Machine learning models are trained in advance on historical data, and the system maintains ready-to-analyze data streams, enabling immediate response to health risks without time-consuming data collection or processing delays
Solution Approach 2:
The patent implements continuous real-time monitoring and processing of wellness data through always-on sensors and uninterrupted data analysis workflows. This continuity ensures that the system is constantly ready to detect and respond to health risks, eliminating idle time between data collection cycles and maintaining constant productivity
3Measurement precision
If comprehensive wellness parameters are collected, then measurement precision is improved, but device complexity and loss of information increase
Solution Approach 1:
The patent segments comprehensive wellness data into distinct categories including air quality parameters, occupancy data, water quality metrics, and maintenance records. Each segment is processed and analyzed separately by specialized algorithms, then integrated to form a complete wellness assessment. This segmentation manages data complexity while preserving all relevant information for accurate measurement
4Productivity
If automated systems are used to process wellness data, then productivity is improved, but device complexity increases
Solution Approach 1:
The building management system is designed as a universal multi-functional platform that handles diverse wellness data types, processes multiple building systems, and provides various analytics and alerts through a single integrated system. This universality improves productivity by consolidating multiple functions into one system while managing complexity through standardized interfaces and protocols
Data Source
AI summary
A system and a computer-implemented method of managing building wellness. The method may include the steps of: obtaining wellness parameters for a building (e.g., an office building) having an occupant(s); processing the wellness parameter to determine a current wellness index for the building and, based on the current wellness index, sending a message regarding the current wellness index to a recipient(s) (e.g., a building occupant), displaying the current wellness index for a user(s), and/or identifying a remediation action(s) to improve the current wellness index.

