US 2020/0378938 A1Published application

Indoor radon prediction system and method for radon reduction

AssigneeBetterlife Co., Ltd.

InventorJae Sung LEE

Life of this patent

Estimating the term…

Loading patent…

Abstract

An indoor radon prediction system and method for radon reduction is disclosed, the system including: a soil environment measurement module installed in soil surrounding a specific indoor space, and measuring environmental information data of temperature and humidity for the soil surrounding the corresponding specific indoor space; an indoor environment measurement module installed in the specific indoor space and measuring environmental information data of temperature and humidity for the corresponding specific indoor space; an indoor radon measurement module installed in a specific indoor space and measuring radon concentration data of the corresponding specific indoor space; a Korea Meteorological Administration (KMA) weather station management server constructing a database (DB) of big data information for surrounding weather conditions of the specific indoor space, thereby storing and managing the DB; and an indoor radon prediction management server.

Claims17

Dependent claims

An indoor radon prediction system for radon reduction, the system comprising:

a soil environment measurement module installed in soil surrounding a specific indoor space, and measuring environmental information data of temperature and humidity for the soil surrounding the corresponding specific indoor space;
an indoor environment measurement module installed in the specific indoor space and measuring environmental information data of temperature and humidity for the corresponding specific indoor space;
an indoor radon measurement module installed in the specific indoor space and measuring radon concentration data of the corresponding specific indoor space;
a Korea Meteorological Administration (KMA) weather station management server constructing a database (DB) of big data information for surrounding weather conditions of the specific indoor space, thereby storing and managing the DB;
and
an indoor radon prediction management server receiving the radon concentration data for the corresponding specific indoor space measured for a certain period of time from the indoor radon measurement module, generating an annual standard graph of the radon average concentration by time for the corresponding specific indoor space on the basis of the received radon concentration data, reflecting the big data information about the surrounding weather conditions for the corresponding specific indoor space managed by the KMA weather station management server and the environmental information data measured from the soil environment measurement module and the indoor environment measurement module, respectively, in the produced annual standard graph of the radon average concentration by time, in addition, calculating the estimated radon measurement value applying a correction index for each preset environmental element, generating an hourly, daily, monthly, and yearly radon concentration prediction graph for the corresponding specific indoor space on the basis of the calculated estimated radon measurement value, and constructing a DB for the radon concentration prediction graph, thereby storing and managing the DB.

3 more elements

An indoor radon prediction method for radon reduction as the method using a system comprising a soil environment measurement module, an indoor environment measurement module, an indoor radon measurement module, and an indoor radon prediction management server, the method comprising:

step (a) of measuring environmental information data of temperature and humidity for soil surrounding specific indoor space through the soil environment measurement module;
step (b) of measuring environmental information data of temperature and humidity for the specific indoor space through the indoor environment measurement module;
step (c) of measuring radon concentration data of the specific indoor space through the indoor radon measurement module;
step (d) of generating an annual standard graph of the radon average concentration by time for the corresponding specific indoor space on the basis of the radon concentration data of the corresponding specific indoor space measured for a certain period of time in step (c) through the indoor radon prediction management server;
step (e) of reflecting the big data information about the surrounding weather conditions for the corresponding specific indoor space managed by an external Korea Meteorological Administration (KMA) weather station management server and the environmental information data measured in step (a) and step (b), respectively, into the annual standard graph of the radon average concentration by time produced in step (d) through the indoor radon prediction management server, in addition, calculating estimated radon measurement value applying a correction index for each preset environmental element;
and
step (f) of, after generating the hourly, daily, monthly, and yearly radon concentration prediction graph for the corresponding specific indoor space on the basis of the estimated radon measurement value calculated in step (e) through the indoor radon prediction management server, constructing a DB for the radon concentration prediction graph, thereby storing and managing the DB.

4 more elements

Dependencies are inferred from the claim text.