KR-20260065535-A - AIR QUALITY MEASUREMENT AND HEATING, VENTILATION, AND AIR CONDITIONING (HVAC) CONTROL APPARATUS AND METHOD FOR HEAT-RELATED ILLNESS MANAGEMENT

KR20260065535AKR 20260065535 AKR20260065535 AKR 20260065535AKR-20260065535-A

Abstract

The present invention relates to the field of technology for the prevention of heat-related illnesses and safety management. It concerns a technology that collects environmental data including temperature, humidity, wind speed, and solar radiation, calculates heat-related illness indices such as WBGT (Wet Bulb Globe Temperature), Heat Index, and Wind Chill based on the collected data, derives heat-related illness risk criteria using the calculated indices and environmental data, calculates heat-related illness risk criteria including set temperature, airflow, and ventilation rate according to a risk grade table, notifies of the risk of heat-related illness according to the calculated risk criteria, and automatically controls the operation status and set temperature of connected heating and cooling units if any are present, thereby preventing the occurrence of heat-related illnesses in indoor and outdoor work environments and ensuring the safety of workers.

Inventors

김유신
박은주
이충근

Assignees

주식회사 에어딥

Dates

Publication Date: 20260508
Application Date: 20251027
Priority Date: 20241029

Claims (20)

In an air quality measurement and heating/cooling air conditioning system for automatically controlling the operation status and set temperature of a heating and cooling unit, A heat-related illness environmental data receiver that collects environmental data including temperature and humidity; A heat-related illness index calculation unit that calculates a heat-related illness index based on the received environmental data; A heat disease risk standard calculation unit that calculates a heat disease risk standard based on the above-mentioned heat disease index and environmental data, and calculates whether the heating and cooling unit is operating and the set temperature; and A heat disease risk notification unit that informs of the risk of heat disease in accordance with the heat disease risk criteria calculated above An air quality measurement and heating/cooling air conditioning system characterized by including a heating/cooling unit control unit for controlling a connected heating/cooling unit.
In paragraph 1, The above-mentioned heat-related illness environment data receiving unit is characterized by receiving heat-related illness environment data through a self-measuring sensor for measuring at least one of temperature and humidity, in an air quality measurement and heating/cooling air conditioning system.
In paragraph 2, The above-mentioned heat-related disease environment data receiving unit further comprises environment data collected through an external environment data providing server including at least one of wind speed and solar radiation, characterized in that it is an air quality measurement and heating/cooling air conditioning system.
The above heating and cooling unit control unit automatically generates a signal to operate the air conditioner regardless of occupancy when the perceived temperature or heat illness index calculated by the heat illness index calculation unit is greater than or equal to a preset threshold value, and An air quality measurement and heating/cooling air conditioning system characterized by being configured to generate a control signal that lowers the set temperature of a cooling unit by a predetermined downward correction value compared to a preset reference value, according to the control reference value calculated by the above-mentioned control reference calculation unit.
In paragraph 1, The above-mentioned heat-related illness risk standard calculation unit calculates a rest period for work time periods when the above-mentioned perceived temperature is above a preset standard value, and An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling control unit generating a control signal to pre-operate the air conditioner in a designated rest area in accordance with the above-mentioned calculated rest cycle, in accordance with a predetermined lead time prior to the start of the rest.
In paragraph 1, The above-mentioned heat-related illness risk standard calculation unit receives information on the issuance of a heat wave advisory or heat wave warning from the Korea Meteorological Administration, analyzes the hourly outdoor temperature and humidity forecasts during the issuance period, and calculates the pre-operation start time and operating time of the air conditioner based on the analysis results. An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling control unit generating a pre-operation control signal according to the above-mentioned calculation result.
In paragraph 1, The above-mentioned heat-related illness risk standard calculation unit determines that the highest perceived temperature forecast is above the standard or a heat wave warning is issued as a condition for suspending outdoor work, and transmits heat-related illness risk notification data to an administrator terminal, characterized by an air quality measurement and heating/cooling air conditioning system.
In paragraph 1, It further includes an occupancy detection unit, The above control standard calculation unit calculates zone-specific set temperature correction values by combining high-risk group information registered as management subjects and occupancy location information from the above occupancy detection unit. An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling unit control unit generating a control signal to prioritize the operation of the air conditioner in the zone where a high-risk group is present by reflecting the above-mentioned correction value.
In paragraph 1, An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling unit generating a control signal including a set temperature, airflow level, ventilation rate, pre-operation lead time, and notification color according to an operating mode mapped to a risk level, and being configured so that the color information included in the control signal is displayed on a guide display device.
In paragraph 1, The above-mentioned heat-related illness index calculation unit calculates a heat-related illness index including the perceived temperature or WBGT (wet-bulb black-bulb temperature index) using outdoor temperature and humidity and indoor temperature and humidity data, and The above control standard calculation unit determines an operating mode including a set temperature, airflow, and ventilation rate for each grade by applying a risk grade table to the calculated index, and An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling control unit generating a control signal corresponding to a determined operating mode.
In paragraph 1, An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heat disease risk standard calculation unit calculating the number of heatwave days per day and risk indicators by time period using data from the Korea Meteorological Administration, and the above-mentioned heating/cooling unit control unit recording and storing the above-mentioned calculated values and the history of changes to heating/cooling unit settings along with time information in a storage medium, and querying and providing the above-mentioned records upon request from an administrator terminal.
In paragraph 1, The above-mentioned heat-related illness risk standard calculation unit calculates the expected time when the perceived temperature reaches the standard value from the hourly outdoor temperature and humidity forecast, and An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling unit control unit generating a pre-operation signal for a predetermined lead time prior to an expected time.
In paragraph 1, The above-mentioned heat-related illness risk notification unit is characterized by generating a notification signal that displays a heat-related illness emergency response guide and contact guidance on a display device linked to a user terminal or zone sign when the result of calculating the heat-related illness risk standard exceeds a threshold range, in an air quality measurement and heating/cooling air conditioning system.
In paragraph 1, The above-mentioned heat-related illness environment data receiving unit collects time-synchronized data from temperature and humidity sensors placed at each workplace, and The above-mentioned heat-related illness risk standard calculation unit sets the management temperature range for each workplace, and An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling control unit generating a signal to control the zone-specific cooling unit output and operation cycle to maintain a managed temperature range.
In paragraph 1, The above-mentioned heat-related illness risk standard calculation unit stores a differential operation mode table corresponding to each of the heat wave advisory and heat wave warning stages, and An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling control unit generating an operation mode switching signal that applies the set temperature, airflow, ventilation rate, and rest area pre-cooling parameters specified in the table upon receiving stage information.
In paragraph 1, An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heating/cooling control unit generating a pre-cooling control signal for a rest area synchronized with the above-mentioned rest cycle.
In paragraph 1, The above-mentioned heat-related illness index calculation unit calculates the indoor heat-related illness index value by applying the indoor WBGT calculation formula [Mathematical Formula 1] and the indoor perceived temperature calculation formula [Mathematical Formula 2] below to the indoor environment, and An air quality measurement and heating/cooling air conditioning system characterized by the above-mentioned heat disease risk standard calculation unit being configured to determine a risk grade based on the above-mentioned indoor heat disease index value. (Risk level determination is based on country-specific and regional standards - refer to example screen [200][201]) [Mathematical Formula 1] WBGTin = 0.567 * T + 0.393 * e + 3.94 WBGTin: Indoor WBGT(°C) T: Temperature (°C) e: Water vapor pressure (hPa) (e = 6.105 * exp((17.27 * T) / (237.7 + T)) * RH / 100) RH: Relative humidity (%) [Mathematical Formula 2] Wind chill = -0.2442 + 0.55399*Tw + 0.45535*Ta - 0.0022* Tw² + 0.00278*Tw*Ta + 3.0 Tw : Wet-bulb temperature (°C) Ta : Temperature (°C) The exact wet-bulb temperature can be obtained by using a separate measuring device or calculated indirectly using the following formula. Tw T*arctan(0.151977(RH + 8.313659) 0.5 ) + arctan(T + RH) - arctan(RH - 1.676331) + 0.00391838(RH) 3/2 *arctan(0.023101* RH) - 4.686035 RH: Relative humidity (%)
In paragraph 1, The above-mentioned heat disease index calculation unit is configured to apply the outdoor WBGT calculation formula [Mathematical Formula 3] below to the outdoor environment, and if the above-mentioned black globe temperature Tg is not measured, to apply and substitute an estimation model based on a pre-established correction coefficient and comparison group data, thereby forming an air quality measurement and heating/cooling air conditioning system. [Mathematical Formula 3] WBGTout = 0.7 Х Tw + 0.2 Х Tg + 0.1 Х Td WBGTout: Outdoor WBGT(°C) Tw: Natural ventilation wet-bulb temperature (°C) Tg: Black globe temperature (°C) - Reflects thermal environment including solar radiation Td: Dry-bulb temperature (°C) 0.7, 0.2, 0.1: Outdoor (solar radiation present) environment weighting factor (unitless)
In paragraph 1, The above-mentioned heat-related illness index calculation unit, based on the criteria for selecting the perceived temperature in the Korean environment, calculates the heat index in high-temperature sections during the summer, An air quality measurement and heating/cooling air conditioning system characterized by applying wind chill in the cold section, applying the heat index [Equation 4] below and the wind chill [Equation 5] below respectively, and configuring the actual temperature or the above heat-related illness index to be incorporated into the calculation of control standards in the intermediate section. HI: Heat Index (°F) - Heat felt T: Temperature (°F) (This formula assumes Fahrenheit input) RH: Relative humidity (%) T², RH²: respective squared terms The coefficients are regression coefficients (unitless) [Mathematical Formula 5] WCI = 13.12 + 0.6215·T - 11.37·V^0.16 + 0.3965·T·V^0.16 WCI: Wind speed wind chill (°C) T: Temperature (°C) V: Wind speed (km/h) V^0.16: Wind speed raised to the power of 0.16 (unitless) The coefficients are model constants (unitless)
In paragraph 1, An air quality measurement and heating/cooling air conditioning system characterized in that the above-mentioned heat disease index calculation unit calculates metadata on the possible error range of the WBGT estimate for a period when the black globe temperature Tg is not collected and provides it to the heat disease risk standard calculation unit, and the above-mentioned heat disease risk standard calculation unit is configured to apply an additive coefficient to the downward correction value of the set temperature to prevent under-control of the air conditioner when the above-mentioned metadata exceeds a threshold range.

Description

Air Quality Measurement and Heating, Ventilation, and Air Conditioning (HVAC) Control Apparatus and Method for Heat-Related Illness Management The present invention relates to an air quality measurement and heating/cooling air conditioning system control device and method for managing heat-related illnesses. More specifically, the invention relates to a technology that simultaneously achieves safety and energy efficiency in hazardous situations where heat-related illnesses may be induced by calculating a heat-related illness index, such as the perceived temperature or WBGT, based on external temperature and humidity and indoor temperature and humidity, and calculating a control standard that determines whether to operate a heating/cooling unit and the set temperature based on data including said index and indoor environment data, and generating a control signal that reflects pre-operation, ventilation rate linkage, and grade-based downward correction. As the number of high-temperature days and the intensity of heat waves increase due to recent climate change, heat stress management is becoming increasingly important across industrial, commercial, and public facilities. In response, research and commercialization efforts to link human heat load indicators such as WBGT, Heat Index, and UTCI with heating and cooling control are expanding. In the building and facilities sector, a workflow is becoming common where outdoor weather forecasting, indoor sensing (temperature, humidity, CO2 , occupancy information, and demand response (DR)) are integrated through BEMS/BAS to perform pre-cooling, set temperature optimization, and ventilation control. With the widespread adoption of IoT, high-resolution data at the zone level is being secured, leading to the gradual expansion of zone-specific differential control and predictive control (MPC, reinforcement learning, etc.). User interfaces are evolving to provide dashboard-based real-time monitoring, alerts, batch control, and historical reporting, while cloud-edge hybrid architectures are trending toward simultaneously supporting the centralized management of policies and models as well as the speed of on-site control. Meanwhile, there are several limitations to field application. WBGT requires simultaneous measurement of wet-bulb, black-bulb, and dry-bulb, resulting in high equipment costs and burdens for installation and calibration. Furthermore, simplified estimation based solely on temperature and relative humidity fails to adequately reflect solar radiation, wind speed, and radiation conditions, leading to errors and reliability issues. When data quality and continuity are disrupted due to sensor noise, sudden changes, omissions, network delays, interruptions, forecast uncertainty, etc., real-time control becomes unstable, and when fallback, interpolation, and reliability indexing are not systematic, over-operation and frequent mode switching occur. In the field, HVAC units with different manufacturers, households, and protocols (BACnet/Modbus/IR/dedicated APIs) are mixed, making consistent control, verification, and feedback collection difficult, and ensuring policy consistency, rollback, and execution guarantees challenging. Due to occupancy detection accuracy and privacy issues, preemptive cooling, early operation of rest facilities, and ventilation synchronization may be delayed; furthermore, if audits regarding the basis for risk assessment, control standard versions, priorities, validity periods, execution results, failure history, number of heatwave days, and recording of hourly risk indicators are insufficient, post-verification and regulatory compliance will be difficult. Due to these limitations, existing solutions have struggled to simultaneously satisfy both safety and efficiency during heatwaves, and the inability to consistently link behavior-based measures—such as work stoppages, rest cycles, and pre-operation—with indicators has led to persistent problems of recurring manual interventions and inconsistent operations. FIG. 1 is a diagram showing a block diagram of an air quality measurement and heating/cooling air conditioning system (100) for automatically controlling whether a heating/cooling unit is operating and the set temperature according to one embodiment. FIG. 2 is a diagram illustrating an example of a heat index/perceived temperature risk grade mapping table (200) according to temperature and relative humidity. FIG. 3 is a drawing illustrating an example screen of a monitoring user interface according to one embodiment. FIG. 4 is a flowchart illustrating an automatic control method for a heating and cooling system according to one embodiment. Specific structural or functional descriptions of embodiments according to the concept of the present invention disclosed herein are provided merely for the purpose of explaining embodiments according to the concept of the present invention, and embodiments according to the concept of the present inven