Building Automation for Automated Radon Detection and Mitigation
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Solution Overview
Problem
Conventional radon sensors are limited in their ability to monitor and respond to radon levels in a centralized and automated manner, particularly in non-residential settings, failing to provide effective mitigation strategies for varying radon levels across large areas such as buildings or campuses.
Innovation Solution
Integration of radon sensors into a building automation system that allows for remote monitoring and automated response to unsafe radon levels, incorporating communication networks and actuators to adjust ventilation and other systems to mitigate radon levels, while also enabling trend analysis and alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional radon sensors are used as standalone devices with audio alarms, then users can detect radon levels on-site, but the system lacks centralized monitoring and automated mitigation capabilities for large areas
Solution Approach 1:
The patent combines multiple radon sensors, communication networks, and mitigation actuators into a unified building automation system. The sensors are integrated with a communication network that connects to a remote monitoring platform, which automatically controls mitigation devices such as ventilation systems. This merging enables centralized monitoring and automated response across multiple locations without requiring manual intervention at each sensor site.
Solution Approach 2:
The building automation system is designed to perform multiple functions: detecting radon levels, transmitting data remotely, analyzing trends, generating alerts, and controlling mitigation devices. This multi-functional approach allows a single integrated system to replace multiple standalone devices and manual processes, achieving both centralized monitoring and automated mitigation while managing system complexity through standardized protocols and interfaces.
2Reliability
If radon sensors are integrated into a building automation system with remote monitoring, then centralized monitoring and automated response are enabled, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces a communication network as an intermediary layer between the radon sensors and the remote monitoring platform. This intermediary handles data transmission, processing, and relay, allowing sensors to be distributed across multiple locations while maintaining reliable centralized monitoring. The communication infrastructure acts as a mediator that manages the complexity of connecting numerous sensors and actuators without requiring direct point-to-point connections between all system components.
Solution Approach 2:
The system implements continuous feedback loops where radon sensors monitor environmental conditions, transmit data to the remote platform, which then analyzes the data and automatically adjusts mitigation actuators in response. This feedback mechanism enhances reliability by ensuring real-time monitoring and automated correction of unsafe conditions, while the standardized feedback protocols help manage system complexity through predictable interaction patterns.
3Productivity
If automated mitigation systems are implemented to respond to unsafe radon levels, then response time and safety are improved, but system complexity and cost increase
Solution Approach 1:
The building automation system is configured to automatically respond to unsafe radon levels without requiring manual intervention. When sensors detect radon concentrations exceeding predetermined thresholds, the system automatically activates mitigation actuators such as ventilation systems or air purifiers. This self-service capability improves response efficiency by eliminating delays associated with human detection and action, while the automated control logic manages system complexity through pre-programmed response protocols.
Solution Approach 2:
The system implements predetermined response thresholds and automated mitigation protocols in advance. Before unsafe conditions occur, the system is pre-configured with safety thresholds, response criteria, and mitigation strategies. When radon levels approach or exceed these pre-established thresholds, the system automatically initiates appropriate mitigation actions. This preliminary preparation enables rapid response to unsafe conditions while managing complexity through pre-planned response frameworks rather than requiring complex real-time decision-making.
Data Source
AI summary
Radon detection or sensing is provided within a building automation system for a site (e.g., building or campus). As such, one or more short-term and/or long-term radon levels may be detected or monitored. The radon levels are monitored from a remote location. The building automation system may be programmed to automatically respond to a specific (e.g., unsafe) radon level and/or a change in one or more radon levels, or combinations thereof, in order to mitigate or reduce the monitored or detected radon levels. Trending, pattern comparison between radon level and other measured information, automated response, interaction or response between different radon sensors, or combinations thereof may be provided by integrating one or more radon sensors into a building automation system.