Building Health Monitoring via Behavioral and Thermal Analysis
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Solution Overview
Problem
Infectious diseases spread through person-to-person contact and contact with contaminated surfaces, necessitating effective systems to limit disease transmission within buildings.
Innovation Solution
A health monitoring system that captures and analyzes behavioral data, using illness behavioral models to identify symptoms, issue alerts for additional screening, and integrate thermal sensors and video cameras to detect elevated body temperatures and abnormal behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If behavioral monitoring and illness detection systems are implemented, then disease transmission can be limited, but device complexity and cost increase
Solution Approach 1:
The system segments the monitoring function into multiple independent components: thermal sensors for temperature detection, video cameras for behavioral analysis, and a centralized processing system that integrates data from both sources. This segmentation allows each component to be optimized independently and facilitates easier implementation and maintenance.
Solution Approach 2:
The system employs multi-functional devices that serve multiple purposes. For example, video cameras not only capture behavioral data but also provide thermal imaging capabilities. The same camera system is used for both visual monitoring and temperature detection, reducing the overall number of devices needed while maintaining comprehensive monitoring capabilities.
2Measurement precision
If continuous monitoring of occupants is performed, then illness symptoms can be detected early, but loss of time and energy increase
Solution Approach 1:
Instead of continuous uninterrupted monitoring, the system employs periodic sampling of behavioral data and thermal readings. The system analyzes behavior patterns at intervals and compares them against established illness models, triggering detailed analysis only when anomalies are detected. This periodic approach reduces computational resources and time investment while maintaining effective symptom detection.
Solution Approach 2:
The system automatically generates alerts and notifications when illness symptoms are detected, enabling self-service response without requiring constant human intervention. The automated alert system notifies relevant personnel who can then take appropriate actions, reducing the time and energy that would otherwise be required for manual monitoring and response.
3Reliability
If multiple sensors and cameras are deployed throughout the building, then monitoring coverage is improved, but device complexity and installation requirements increase
Solution Approach 1:
The system merges thermal sensors and video cameras into integrated monitoring units that can be installed simultaneously at multiple locations. By combining these functions into unified systems, the installation process becomes more streamlined, and the building can be monitored comprehensively with fewer separate installation points. The merged system processes both thermal and visual data through a single centralized platform.
Data Source
AI summary
Methods and systems for monitoring occupant health within a building. An illustrative method may include storing one or more illness behavioral models, capturing and storing over time a history of behaviors for each of a plurality of occupants of the building, identifying one or more current behaviors of a particular one of the plurality of occupants, determining whether the current behaviors of the occupant match one or more of the behaviors defined in the one or more illness behavioral models, determining whether the current behaviors of the occupant deviate from behaviors captured and stored in the history of behaviors for the occupant, and issuing an alert directing that the occupant undergo additional health screening when the current behaviors of the occupant match one or more of the behaviors defined in the illness behavioral models or deviate from behaviors captured and stored in the history of behaviors for the occupant.