Radon management system using radon detector

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Solution Overview

Problem

Existing radon detection systems lack efficient real-time monitoring and management of radon concentration indoors and outdoors, particularly in environments like classrooms, leading to potential health risks due to inadequate ventilation and lack of systematic exposure control.

Innovation Solution

A radon management system utilizing radon detectors that collect and analyze alpha particle concentration data, convert it into a database, and provide cloud computing services to manage and alert users to radon levels, with integrated radon reduction facilities for ventilation control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If periodic ventilation is performed by residents to reduce radon gas, then radon concentration can be reduced, but during cold winter or at night, proper ventilation is not performed, leading to radon accumulation and health risks

Engineering Contradiction:
Improveradon exposure riskVSAvoidventilation operation consistency
Core Design Contradiction:
Object-affected harmful factorsVSEase of operation

Solution Approach 1:

The radon management system automatically performs monitoring and control operations without requiring resident intervention. The system self-manages radon concentration monitoring, data analysis, and ventilation control, ensuring consistent operation regardless of weather conditions or time of day.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors radon concentration levels and provides real-time feedback through the radon management server. When radon levels exceed safe thresholds, the system automatically triggers ventilation operations and notifies residents, creating a closed-loop control system that maintains consistent protection.

Inventive Principle:
Principle #23Feedback

2Object-affected harmful factors

If no systematic management is implemented in classrooms, then operational simplicity is maintained, but student health is compromised due to uncontrolled radon exposure

Engineering Contradiction:
Improvestudent radon exposureVSAvoidmanagement system structure
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The radon management system is designed to serve multiple functions: monitoring radon concentrations, storing data in databases, analyzing trends, controlling ventilation, and providing notifications. This multi-functional approach consolidates what could be multiple separate systems into one unified platform, making it suitable for schools while maintaining comprehensive protection.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The radon management server acts as an intermediary between radon detectors, ventilation systems, and users. It collects data from detectors, processes information, and triggers appropriate responses, simplifying the overall system architecture while enabling systematic management of radon exposure in classrooms.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If real-time radon monitoring is implemented indoors and outdoors, then radon concentration data can be obtained continuously, but system complexity and data management requirements increase

Engineering Contradiction:
Improveradon concentration measurement continuityVSAvoiddata management system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system merges indoor and outdoor radon monitoring into a unified management platform. The radon management server consolidates data from multiple detectors, standardizes data formats, and provides centralized access through cloud computing services, simplifying data management while maintaining continuous monitoring capabilities.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system transitions from local data storage to cloud-based database management, adding a network dimension to the architecture. This allows continuous monitoring data to be stored, accessed, and analyzed remotely through the radon management server, reducing on-site complexity while maintaining measurement continuity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables real-time and periodic monitoring of radon concentrations, providing alerts and recommendations for reducing exposure, ensuring compliance with safety standards and enhancing user safety through efficient ventilation management.

Implementation Method 1

detect in real time alpha particles present in the specific space

Methodology Applied
Scientific EffectAlpha particle detection: Radiation

Implementation Method 2

count for a measurement time preset based on the output alpha particle detection signal to calculate an alpha particle concentration value

Methodology Applied
Scientific EffectParticle counting: Radiation

Data Source

PatentEP3893188B1Radon management system using radon detector
Publication Date: 2026.03.25 FTLAB
  • EP3893188B1 patent drawingFigure 1
  • EP3893188B1 patent drawingFigure 2

AI summary

A radon management system using a radon detector is proposed. The system includes: at least one radon detector installed in a specific space indoors or outdoors, and configured to detect in real time alpha particles present in the specific space, output a predetermined alpha particle detection signal, count for a preset measurement time to calculate and transmit an alpha particle concentration value, and transmit unique device identification information; and a radon management server configured to collect the unique device identification information and alpha particle concentration value, calculate and quantify an average value of the collected alpha particle concentration values to be converted into a database for each radon detector, store and manage the average value, compare the alpha particle concentration value and the average values of the previously stored alpha particle concentration value to each other to calculate a change amount thereof, and generate radon generation event information data.