KR-20260062124-A - System and method for correcting human infection information to improve the accuracy of assessing the risk of virus transmission in an indoor environment

KR20260062124AKR 20260062124 AKR20260062124 AKR 20260062124AKR-20260062124-A

Abstract

A human infection information correction system for improving the accuracy of evaluating the risk of virus transmission in an indoor environment according to an embodiment of the present invention comprises: a sensor unit for measuring environmental data, which is a variable for calculating the risk of infection caused by virus transmission in an indoor space; a human infection information collection unit for collecting human infection information to correct an initial infection risk value to be calculated based on the environmental data; and a data processing unit for calculating an infection risk score for each environmental data based on the environmental data, integrating it to calculate the initial infection risk value, calculating a correction index based on the human infection information, summing the correction index according to weights to calculate a correction value, applying the correction value to the initial infection risk value to calculate a corrected infection risk value, and calculating a final infection risk normalized score based on the corrected infection risk value. The environmental data may include the carbon dioxide concentration, particulate matter concentration, relative humidity, temperature, and level of UVB (Ultraviolet B) radiation, the type and concentration of biological hazardous agents, air flow velocity, and the cross-sectional area of a ventilation opening of the indoor space measured by the sensor unit.

Inventors

김민경
박덕신
고상원
김경훈

Assignees

한국철도기술연구원

Dates

Publication Date: 20260507
Application Date: 20241025

Claims (14)

A sensor unit for measuring environmental data, which is a variable for calculating the risk of infection caused by virus transmission in an indoor space; A human infection information collection unit for collecting human infection information to correct an initial infection risk value to be calculated based on the above environmental data; and A data processing unit that calculates an infection risk score for each of the above environmental data based on the above environmental data, integrates them to calculate an initial infection risk value, calculates a correction index based on the above human infection information, sums the correction index according to weights to calculate a correction value, applies the correction value to the above initial infection risk value to calculate a corrected infection risk value, and calculates a final normalized infection risk score based on the corrected infection risk value; The above environmental data is, A human infection information correction system for improving the accuracy of evaluating the risk of virus transmission in an indoor environment, characterized by carbon dioxide concentration, particulate matter concentration, relative humidity, temperature, and UVB (Ultraviolet B) radiation levels, types and concentrations of biological hazardous agents, air flow velocity, and cross-sectional area of a ventilation opening, all of which are measured by the sensor unit.
In Article 1, The above human infection information is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by body temperature information, cough frequency information, location information, movement path information, and residence time information of an occupant located in the above indoor space.
In Article 2, The above human infection information collection unit is, A body temperature sensing device that monitors the body temperature of an occupant and collects body temperature information of the occupant including the average body temperature of the occupant; A cough detection device that detects the sound of a cough by an occupant and measures the cough frequency of the occupant to collect cough frequency information of the occupant including the hourly cough frequency of the occupant; A location tracking device that tracks the location of an occupant and collects location information of the occupant; A movement path tracking device that tracks the movement path of an occupant and collects movement path information of the occupant; and A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by including a dwell time recording device that calculates the total dwell time of an occupant staying in the indoor space and collects dwell time information including the total dwell time of the occupant.
In Paragraph 3, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating a body temperature correction index based on the body temperature of the occupant, a cough correction index based on the cough frequency of the occupant, a location and movement path correction index based on the location, movement path, and total stay time of the occupant, and a stay time correction index based on the total stay time of the occupant.
In Article 4, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating a body temperature correction index when the average body temperature of an occupant collected from the body temperature sensor exceeds a preset normal body temperature based on the following formula. In the above formula, TI is the body temperature correction index, and average body temperature is the average body temperature of the occupants.
In Article 4, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating a cough correction index when the hourly cough frequency of an occupant collected from the cough detection device exceeds a preset reference cough frequency based on the following formula. In the above formula, CI is the cough correction index, and cough frequency is the hourly cough frequency of occupants.
In Article 4, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk in an indoor environment, characterized by calculating the high-risk area stay time, which is the time the occupant stays in a high-risk area where a virus infection risk exists, using the location information of the occupant collected from the location tracking device and the movement path tracking device and the location of the occupant tracked through the movement path information based on the following formula, and then calculating a location and movement path correction index based on the high-risk area stay time and the total stay time of the occupant calculated by the stay time recording device. In the above formula, LI is the position and movement path correction index.
In Article 4, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating a residence time correction index when the total residence time of the occupant calculated by the residence time recording device exceeds a preset standard residence time based on the following formula. In the above formula, SI is the residence time correction index.
In Article 4, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating the correction value by summing the body temperature correction index, the cough correction index, the location and movement path correction index, and the dwell time correction index according to weights based on the following formula. In the above formula, B is the correction value, w1 is the weight of the body temperature correction index, TI is the body temperature correction index, w2 is the weight of the cough correction index, CI is the cough correction index, w3 is the weight of the location and movement path correction index, LI is the location and movement path correction index, w4 is the weight of the stay time correction index, and SI is the stay time correction index.
In Article 9, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by normalizing the sum of the weights of the body temperature correction index, the cough correction index, the location and movement path correction index, and the dwell time correction index to a value within '1'.
In Article 9, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating a corrected infection risk value by applying the correction value to the initial infection risk value based on the following formula. In the above formula, A' is the corrected infection risk value, A is the initial infection risk value, and B is the correction value.
In Article 11, The above data processing unit is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by calculating the initial infection risk value by integrating infection risk scores for each of the above environmental data based on the following formula. In the above formula, A is the initial infection risk value, V CO2 is the infection risk score based on carbon dioxide concentration, V PM is the infection risk score based on particulate matter concentration, V RH is the infection risk score based on relative humidity, V T is the infection risk score based on temperature, V UVB is the infection risk score based on the level of UVB radiation, V BIO is the infection risk score based on biological hazards, and V VENT is the infection risk score based on ventilation volume.
In Article 12, The sensor unit above is, A carbon dioxide sensor that measures the carbon dioxide concentration in the indoor space in real time so that an infection risk score based on the carbon dioxide concentration is calculated; A particulate matter sensor that measures the particulate matter concentration in the indoor space in real time so that an infection risk score based on the particulate matter concentration is calculated; A relative humidity sensor that measures the relative humidity of the indoor space in real time so that an infection risk score based on the relative humidity is calculated; A temperature sensor that measures the temperature of the indoor space in real time so that an infection risk score based on the above temperature is calculated; A biosensor that detects the type of biological hazardous agent in the indoor air of the indoor space in real time and measures the concentration of the detected biological hazardous agent in real time so that an infection risk score due to the above biological hazardous agent is calculated; An air flow sensor installed in a duct connected to the indoor air conditioning system or in a ventilation opening forming the end of the duct, or installed in the duct and the ventilation opening respectively to measure the air flow velocity and the cross-sectional area of the ventilation opening in real time so as to calculate an infection risk score based on the ventilation volume; and A UVB sensor that measures the level of UVB radiation in the indoor space in real time so that an infection risk score based on the level of UVB radiation is calculated; The above UVB sensor is, A human infection information correction system for improving the accuracy of virus transmission risk assessment in an indoor environment, characterized by being provided in multiple units to be installed respectively at the ceiling, windows, and center of the indoor space.
a) A step in which a sensor unit measures environmental data, which is a variable for calculating the risk of infection caused by virus transmission in an indoor space; b) A step in which a human infection information collection unit collects human infection information to correct an initial infection risk value to be calculated based on the above environmental data; c) A step in which a data processing unit calculates an infection risk score for each of the environmental data based on the environmental data; d) A step in which the data processing unit integrates infection risk scores for each of the environment data to calculate the initial infection risk value; e) A step in which the data processing unit calculates a correction index, and then calculates a correction value by summing the correction indices according to weights; f) a step in which the data processing unit calculates a corrected infection risk value by applying the correction value to the initial infection risk value; and g) a step in which the data processing unit calculates a final infection risk normalized score based on the corrected infection risk value; and The above environmental data is, A method for correcting human infection information to improve the accuracy of evaluating the risk of virus transmission in an indoor environment, characterized by the carbon dioxide concentration, particulate matter concentration, relative humidity, temperature, and level of UVB (Ultraviolet B) radiation, the type and concentration of biological hazardous factors, air flow velocity, and the cross-sectional area of the ventilation opening of the indoor space measured by the sensor unit.

Description

System and method for correcting human infection information to improve the accuracy of assessing the risk of virus transmission in an indoor environment The present invention relates to a system and method for correcting human infection information to improve the accuracy of evaluating the risk of virus transmission in an indoor environment, and more specifically, to a system and method for correcting human infection information to improve the accuracy of evaluating the risk of virus transmission in an indoor environment by adding human infection information to an infection risk value for evaluating the probability of virus transmission in an indoor environment. The transmission of viral diseases in indoor spaces primarily occurs through airborne transmission, which is particularly true for airborne viruses such as COVID-19. Conventionally, to assess the risk of virus transmission in indoor environments, infection risk values have been calculated using indicators such as carbon dioxide concentration, relative humidity, fine particle concentration, and temperature, and the risk of infection caused by virus transmission in indoor environments has been evaluated based on this. Meanwhile, the actual risk of virus transmission in indoor environments is significantly influenced by human infection information related to the health status of occupants. For example, the risk of virus transmission may be higher in a space where an infected person is present. In other words, to accurately assess the risk of infection caused by virus transmission in an indoor environment, it is necessary to apply a correction that adds human infection information to the infection risk value. FIG. 1 is a block diagram illustrating a human infection information correction system for improving the accuracy of evaluating the risk of virus transmission in an indoor environment according to one embodiment of the present invention. FIG. 2 is a block diagram illustrating detailed components of a sensor unit according to an embodiment of the present invention. FIG. 3 is a block diagram illustrating detailed components of a human infection information collection unit according to one embodiment of the present invention. FIG. 4 is a flowchart illustrating the process of a method for correcting human infection information to increase the accuracy of evaluating the risk of virus transmission in an indoor environment according to one embodiment of the present invention. FIG. 5 is a flowchart illustrating the detailed process of the infection risk normalization score calculation step according to one embodiment of the present invention. FIG. 6 is a flowchart illustrating the detailed process of the step of calculating the infection risk score based on UVB radiation levels according to one embodiment of the present invention. FIG. 7 is a flowchart illustrating the detailed process of the step of calculating the infection risk score by biological hazardous agents according to one embodiment of the present invention. FIG. 8 is a flowchart illustrating the detailed process of the step of calculating an infection risk score based on ventilation volume according to one embodiment of the present invention. Hereinafter, embodiments of the present invention are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present invention. However, since the description of the present invention is merely an example for structural or functional explanation, the scope of the present invention should not be interpreted as being limited by the embodiments described in the text. That is, since the embodiments are subject to various modifications and may take various forms, the scope of the present invention should be understood to include equivalents capable of realizing the technical concept. Furthermore, the objectives or effects presented in the present invention do not imply that a specific embodiment must include all of them or only such effects; therefore, the scope of the present invention should not be understood as being limited by them. The meaning of the terms described in this invention should be understood as follows. Terms such as "first" and "second" are intended to distinguish one component from another, and the scope of rights shall not be limited by these terms. For example, the first component may be named the second component, and similarly, the second component may be named the first component. When a component is referred to as being "connected" to another component, it should be understood that it may be directly connected to that other component, or that there may be other components in between. Conversely, when a component is referred to as being "directly connected" to another component, it should be understood that there are no other components in between. Meanwhile, other expressions describing the relationship between components, such as "between" and "exactly between," or "adja