Automatic air conditioning control system

Abstract

The present invention discloses an automatic air conditioning control system capable of improving indoor air quality maintenance performance and energy efficiency by learning indoor environment data and operation data to predict outdoor air requirements, and generating and controlling a target pressure difference corresponding to the predicted outdoor air requirements.

Description

Technology Field

[0001] The present invention relates to an automatic air conditioning control system, and more specifically, to an automatic air conditioning control system capable of improving indoor air quality maintenance performance and energy efficiency by learning indoor environment data and operation data to predict outdoor air requirements, and generating and controlling a target pressure difference corresponding to the predicted outdoor air requirements. Background Technology

[0003] Generally, HVAC (Heating, Ventilation and Air Conditioning) systems are installed and operated in buildings, industrial facilities, hospitals, clean rooms, and multi-use facilities to maintain indoor air quality and ensure ventilation performance.

[0004] This air conditioning system is configured to maintain the temperature, humidity, and air quality of the indoor space at a constant level by supplying outside air into the room and exhausting polluted indoor air.

[0005] Conventional air conditioning systems can be operated by controlling the mixing ratio of the inflow of outside air and the return air inside the room using an outside air damper, a return damper, a supply fan, and an exhaust fan.

[0006] In particular, to ensure indoor ventilation, it can be configured to maintain a target airflow state by controlling the rotational speed of the supply or exhaust fan or adjusting the opening rate of the outside air damper.

[0007] However, conventional HVAC systems often perform airflow and pressure control using a single control loop or a simple PID (Proportional-Integral-Derivative) method without being independent of each other, so there is a problem where airflow and pressure states interfere with each other when changes in the external environment or indoor load occur.

[0008] In addition, conventional air conditioning systems often respond by simply increasing the fan's rotation speed even when airflow is insufficient, which can lead to increased unnecessary power consumption and problems such as control hunting or airflow overshoot caused by excessive pressure changes.

[0009] Furthermore, since most conventional HVAC systems perform control based solely on currently measured airflow or pressure data, it is difficult to implement preemptive control that reflects changes in occupancy by time of day, indoor activity levels, or air quality change patterns. Consequently, the supply of outside air increases only after the indoor carbon dioxide or fine dust concentration exceeds the standard limit, leading to a problem of delayed response to deterioration in indoor air quality.

[0010] Therefore, there is a need for an automatic air conditioning control system that can independently control real-time airflow and pressure states while performing interconnected control, actively adjust target airflow and pressure states in response to changes in indoor air quality and occupancy environment, and maintain stable control performance and energy efficiency even in long-term operating environments. The problem to be solved

[0012] The present invention was created out of the aforementioned necessity, and aims to provide an automatic air conditioning control system capable of improving indoor air quality maintenance performance and energy efficiency by learning indoor environment data and operation data to predict outdoor air requirements, and generating and controlling a target pressure difference corresponding to the predicted outdoor air requirements. means of solving the problem

[0014] To achieve the above-mentioned purpose, the automatic air conditioning control system comprises: an air conditioning unit including an outside air damper for introducing outside air, a return damper for introducing indoor return air, a mixing chamber where the air introduced from the outside air damper and the return damper is mixed, a supply fan for supplying air from the mixing chamber to the room, an exhaust damper for discharging air from the mixing chamber to the outside, and a blower fan for discharging air through the exhaust damper; an airflow sensor for measuring the airflow moving from the mixing chamber to the supply fan, a pressure sensor for measuring the difference between the internal pressure and the external pressure of the mixing chamber, an environmental sensor unit for collecting environmental data including indoor air quality information, and a control unit for controlling the outside air damper, the return damper, the supply fan, the exhaust damper, and the blower fan based on data received from the airflow sensor, the pressure sensor, and the environmental sensor unit; wherein the control unit predicts the outside air demand based on operating data and real-time environmental data, sets a target pressure difference based on the predicted outside air demand, and the actual pressure difference measured through the pressure sensor and the target It is characterized by performing a first control loop that controls the opening rate of the outside air damper, the return damper, and the exhaust damper, and the rotational speed of the supply air fan and the blower fan according to the error between the pressure difference, thereby regulating the pressure state of the mixing chamber, and a second control loop that corrects the calculation parameter of the target pressure difference based on the deviation between the airflow measured through the airflow sensor and the outside air requirement.

[0015] The above control unit is characterized by predicting a time series change in the outdoor air demand by analyzing the correlation between environmental data including at least one of indoor carbon dioxide concentration, temperature, and humidity, and operation schedule data including occupancy information for each set time period.

[0016] The above control unit is characterized by performing adaptive control that corrects the prediction model in real time by calculating the prediction error between the outdoor air demand and the airflow measured through the airflow sensor, and updating the correction coefficient of the target pressure difference calculation algorithm based on the prediction error.

[0017] The above control unit is characterized by preemptively increasing the target pressure difference when an increase in the demand for outside air is predicted, thereby controlling the opening rate of the outside air damper, the return damper, and the exhaust damper, as well as the rotational speed of the supply fan and the blower fan in advance.

[0018] The above control unit is characterized by performing hybrid control that combines feedforward control, which determines the initial driving values ​​of the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan based on the outside air demand, and feedback control, which corrects the initial driving values ​​based on the measured values ​​of the airflow sensor and the pressure sensor.

[0019] The control unit includes a memory that chronologically stores data collected from the airflow sensor, the pressure sensor, and the environment sensor, as well as the driving history of the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan, and is characterized by updating the computational parameters of a prediction model by analyzing the data stored in the memory and learning the pattern of change in the amount of outside air inflow according to environmental conditions.

[0020] The above prediction model is characterized by utilizing driving data stored in the memory as a training dataset and calculating the external air demand using at least one of a statistical algorithm that calculates correlations between multiple variables, and an artificial intelligence algorithm that recognizes data patterns based on machine learning and deep learning.

[0021] The control unit is characterized by fixing the control output applied to the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan to a maintenance state when the air volume measured through the air volume sensor converges within a set error range relative to the outside air requirement.

[0022] The above-mentioned outside air damper, the above-mentioned return damper, and the above-mentioned exhaust damper are each configured in a modulating driving method that continuously variably adjusts the opening rate in response to the output signal of the control unit, and the above-mentioned supply fan and the above-mentioned blower fan are each characterized by having their rotational speeds continuously variably controlled in response to a variable frequency applied from an inverter.

[0023] The above air conditioning unit is configured to be installed later on an existing air conditioning system, and the control unit receives control signals or operating data from the existing air conditioning system, analyzes them together with measurement data from the airflow sensor, the pressure sensor, and the environment sensor unit, and corrects and controls the operating status of the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan based on the analysis results. Effects of the invention

[0025] According to the automatic air conditioning control system of the present invention, by having a structure that learns indoor environment data and operation data to predict the outdoor air demand and generates and controls a target pressure difference corresponding to the predicted outdoor air demand, it has the effect of improving indoor air quality maintenance performance and energy efficiency. Brief explanation of the drawing

[0027] FIG. 1 is a diagram showing the overall configuration of an automatic air conditioning control system according to one embodiment of the present invention. FIG. 2 is a block diagram illustrating the control configuration of an automatic air conditioning control system according to one embodiment of the present invention. FIG. 3 is a flowchart showing the control flow of an automatic air conditioning control system according to one embodiment of the present invention. Specific details for implementing the invention

[0028] Hereinafter, an automatic air conditioning control system according to an embodiment of the present invention will be described with reference to the attached drawings. In this process, the thickness of lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of explanation.

[0029] Furthermore, the terms described below are defined in consideration of their functions in the present invention, and these may vary depending on the intent or practice of the user or operator. Therefore, the definitions of these terms should be based on the content throughout this specification.

[0031] FIG. 1 is a diagram showing the overall configuration of an automatic air conditioning control system according to one embodiment of the present invention, FIG. 2 is a block diagram showing the control configuration of an automatic air conditioning control system according to one embodiment of the present invention, and FIG. 3 is a flowchart showing the control flow of an automatic air conditioning control system according to one embodiment of the present invention.

[0033] As illustrated in FIGS. 1 to 3, an automatic air conditioning unit according to one embodiment of the present invention includes an air conditioning unit (10), an airflow sensor (20), a pressure sensor (30), an environment sensor unit (40), and a control unit (50).

[0034] The air conditioning unit (10) is configured to automatically adjust the airflow and pressure of the air supplied to the indoor space to maintain target ventilation conditions.

[0035] This air conditioning unit (10) may include an outside air damper (11) for introducing outside air, a return damper (12) for introducing indoor return air, a mixing chamber (13) where the air introduced from the outside air damper (11) and the return damper (12) is mixed, a supply fan (14) for supplying the air from the mixing chamber (13) to the indoor space, an exhaust damper (15) for discharging the air from the mixing chamber (13) to the outside, and a blower fan (16) for discharging air through the exhaust damper (15).

[0036] At this time, the mixing chamber (13) may be connected to a plurality of ducts to form a flow path for external air, return air, supply air, and exhaust air. These plurality of ducts may include a duct through which external air is moved toward the mixing chamber (13), a duct through which return air from the room is moved toward the mixing chamber (13), a duct through which air from the mixing chamber (13) is supplied to the room, and a duct through which air from the mixing chamber (13) is discharged to the outside.

[0037] That is, the outside air introduced through the outside air damper (11) and the indoor return air introduced through the return damper (12) can be mixed with each other inside the mixing chamber (13), and the mixed air can be supplied to the indoor space by the supply fan (14). In addition, some of the air inside the mixing chamber (13) can be discharged to the outside through the exhaust damper (15) and the blower fan (16).

[0038] Here, the outside air damper (11), the return damper (12), and the exhaust damper (15) can each be configured in a modulating driving manner that continuously variably adjusts the opening rate in response to an output signal from the control unit (50). As a result, the amount of outside air entering, the mixing ratio of return air, and the amount of exhaust can be adjusted in real time, and the internal pressure state of the mixing chamber (13) can be controlled more precisely.

[0039] In addition, the rotational speed of the supply fan (14) and the blower fan (16) can be continuously variablely controlled in response to a variable frequency applied from an inverter. That is, the supply volume of the supply fan (14) and the exhaust volume of the blower fan (16) can be actively adjusted in response to the pressure state of the mixing chamber (13) and the target air volume condition, so that stable blowing performance can be maintained even if changes in the external environment or indoor load occur.

[0040] The airflow sensor (20) is configured to measure the airflow by being installed in a duct that moves from the mixing chamber (13) to the supply fan (14). This airflow sensor (20) can detect the flow rate or velocity of the air supplied from the mixing chamber (13) to the room in real time and generate corresponding measurement data.

[0041] Of course, the airflow sensor (20) can be made in various ways, such as a heating wire type, differential pressure type, vane type, or ultrasonic type sensor, and can transmit the measured airflow data to the control unit (50) in the form of an electrical signal.

[0042] The pressure sensor (30) is installed in the mixing chamber (13) and is configured to measure the pressure difference with the outside. This pressure sensor (30) can detect the pressure difference between the internal pressure of the mixing chamber (13) and the external atmospheric pressure in real time and generate corresponding pressure data.

[0043] Specifically, the pressure sensor (30) may be configured to detect differential pressure by including a measuring part that communicates with the internal space and the external space of the mixing chamber (13), respectively, and the measured data may be transmitted to the control unit (50).

[0044] Of course, the pressure sensor (30) can be configured as a differential pressure sensor, a semiconductor pressure sensor, or a capacitive pressure sensor so as to detect even minute pressure changes.

[0045] In addition, the environmental sensor unit (40) is configured to collect environmental data including indoor air quality information.

[0046] This environmental sensor unit (40) is installed in an indoor space and can detect at least one of carbon dioxide concentration, fine dust concentration, temperature, humidity, volatile organic compound (VOC) concentration and occupancy status, and can transmit the detected data to a control unit (50) in the form of an electrical signal.

[0047] The environment sensor unit (40) can detect the air quality status in real time according to changes in the number of occupants or changes in indoor activity levels over time, thereby improving the accuracy of the outdoor air supply control in response to changes in the indoor environment.

[0048] Of course, the environmental sensor unit (40) may be composed of multiple sensor modules and may be distributed at multiple locations in the air-conditioned space to individually collect environmental data for each space.

[0049] Meanwhile, the control unit (50) is configured to control the outside air damper (11), return damper (12), supply air fan (14), exhaust damper (15), and blower fan (16) based on data received from the airflow sensor (20), pressure sensor (30), and environment sensor unit (40).

[0050] This control unit (50) may be configured in the form of an electronic control device including a processor, memory and an input / output control module, and can automatically control the operating state of the air conditioning unit (10) according to a preset control algorithm.

[0051] Of course, the control unit (50) is electrically connected to the outside air damper (11), return damper (12), supply air fan (14), exhaust damper (15) and blower fan (16) and outputs a control signal, thereby actively controlling the amount of outside air inflow, the amount of return air inflow, the supply air volume, and the exhaust air volume.

[0052] Specifically, the control unit (50) can predict the amount of outside air required based on the operation data of the air conditioning unit (10) and real-time environmental data collected from the environmental sensor unit (40), and generate a target air volume and a target pressure difference corresponding to the predicted amount of outside air required.

[0053] Additionally, the control unit (50) can perform a first control loop to control the opening rate of the outside air damper (11), return damper (12), and exhaust damper (15) and the rotation speed of the supply air fan (14) and blower fan (16) according to the error between the actual pressure difference and the target pressure difference measured through the pressure sensor (30), and a second control loop to correct the calculation parameter of the target pressure difference based on the deviation between the air volume measured through the air volume sensor (20) and the outside air demand.

[0054] That is, the first control loop corrects the error between the target pressure difference and the actual pressure difference in real time, thereby stably maintaining the internal pressure state of the mixing chamber (13) and controlling the amount of outside air inflow and exhaust volume to correspond to the target conditions. Accordingly, even if changes in the external environment or fluctuations in the internal pressure of the duct occur, the pressure balance of the mixing chamber (13) can be stably maintained, and sudden fluctuations in airflow or air backflow phenomena can be prevented.

[0055] In addition, the second control loop can continuously analyze the deviation between the airflow measured by the airflow sensor (20) and the predicted outdoor air demand to correct the calculation criteria for the target pressure difference or the control parameters. That is, the second control loop can function as an adaptive correction structure that re-corrects the control results of the first control loop at a higher level, thereby reducing the control deviation caused by the outdoor air demand prediction error, seasonal changes, equipment aging, or changes in the occupancy environment.

[0056] Accordingly, the control unit (50) can perform double closed-loop control by combining pressure-based real-time control and airflow-based prediction correction, and can simultaneously improve responsiveness to the target outdoor air volume and control stability.

[0057] Here, the control unit (50) can predict the time series change of the outdoor air requirement by analyzing the correlation between environmental data including at least one of indoor carbon dioxide concentration, temperature, and humidity and operation schedule data including occupancy information by set time period.

[0058] For example, if a period during which the number of occupants increases, such as during commuting hours, lunch hours, or meeting hours, is included in the operation schedule data at an office or multi-use facility, the control unit (50) may determine that the demand for outside air will increase before that time period.

[0059] Furthermore, the control unit (50) can predict changes in air quality over time by learning the correlation between the rate of change in indoor carbon dioxide concentration, the temperature rise pattern or the humidity change pattern and the change in the number of occupants. Accordingly, the outside air damper (11), return damper (12), exhaust damper (15), supply air fan (14), and blower fan (16) can be controlled to preemptively increase the amount of outside air entering before the actual air quality exceeds the standard value.

[0060] Additionally, the control unit (50) can perform adaptive control by calculating the prediction error between the external air demand and the airflow measured by the airflow sensor (20), and updating the correction coefficient of the target pressure difference calculation algorithm based on the prediction error, thereby resetting the learning parameters based on the error between the actual operation result and the prediction result. That is, even if the relationship between the initially set target pressure difference and the actual airflow changes over time, the control unit (50) can automatically modify the target pressure difference calculation standard by continuously reflecting the actual operation result.

[0061] For example, if the actual amount of outside air entering decreases due to filter contamination, internal duct contamination, or fan performance degradation even under the same pressure difference conditions, the control unit (50) can change the correction factor by analyzing the difference between the actual air volume measured through the air volume sensor (20) and the predicted amount of outside air required.

[0062] In addition, when an increase in the demand for outside air is predicted, the control unit (50) can preemptively increase the target pressure difference to control the opening rate of the outside air damper (11), return damper (12), and exhaust damper (15), as well as the rotation speed of the supply air fan (14) and blower fan (16) in advance.

[0063] In other words, since the amount of outside air supplied can be increased in advance before indoor air quality deteriorates, it becomes possible to effectively suppress the rise in carbon dioxide concentration or the accumulation of indoor pollutants.

[0064] For example, if the number of occupants is expected to increase rapidly, the control unit (50) can control the increase in the opening rate of the outside air damper (11), the decrease in the opening rate of the return damper (12), and the increase in the rotational speed of the supply air fan (14) and the blower fan (16) in advance. Then, not only can the deterioration of air quality that may occur after the actual increase in the number of occupants be minimized, but the response delay to the target amount of outside air can also be reduced.

[0065] This control unit (50) can perform hybrid control by combining feed-forward control, which determines the initial driving values ​​of the outside air damper (11), return damper (12), exhaust damper (15), supply air fan (14), and blower fan (16) based on the outside air demand, and feedback control, which corrects the initial driving values ​​based on the measured values ​​of the airflow sensor (20) and pressure sensor (30).

[0066] That is, through feedforward control, the initial opening rate of the outside air damper (11), return damper (12), and exhaust damper (15) and the initial rotational speed of the supply fan (14) and blower fan (16) corresponding to the outside air demand can be preemptively set, thereby reducing the response delay to changes in the outside air demand and allowing the target outside air amount to be reached more quickly.

[0067] In addition, through feedback control, the error between the initial driving value and the actual operating state can be corrected in real time based on the actual airflow and actual pressure difference data collected from the airflow sensor (20) and the pressure sensor (30), thereby reducing the control deviation caused by changes in the external environment, changes in the equipment state, or prediction errors.

[0068] Of course, the control unit (50) may variably adjust the reflection ratio of feedforward control and feedback control according to changes in operating conditions. When a sudden change in the number of occupants is expected, the reflection ratio of feedforward control can be increased to prioritize responsiveness, and in a normal operating state, the reflection ratio of feedback control can be increased to improve control stability.

[0069] The control unit (50) includes a memory that stores data collected from the airflow sensor (20), pressure sensor (30), and environment sensor unit (40), as well as the driving history of the outside air damper (11), return damper (12), exhaust damper (15), supply air fan (14), and blower fan (16) in a time-series manner, and can update the computation parameters of the prediction model by analyzing the data stored in the memory and learning the pattern of change in the amount of outside air inflow according to environmental conditions.

[0070] That is, the control unit (50) can analyze how the actual amount of outside air inflow changes and, based on this, can learn the relationship between the target pressure difference and the actual airflow, so that the characteristics of outside air inflow according to changes in environmental conditions can be patterned using the repeatedly accumulated operation data.

[0071] In addition, based on data stored in memory, ventilation patterns by time period, seasonal operating characteristics, space usage characteristics, or patterns of equipment status change can be analyzed, and since the computational parameters or correction coefficients of the prediction model can be updated using the analysis results, an optimal control state corresponding to the actual operating environment can be continuously maintained.

[0072] Here, the prediction model can calculate the external air demand by utilizing driving data stored in memory as a training dataset and using at least one of a statistical algorithm that calculates correlations between multiple variables, and an artificial intelligence algorithm that recognizes data patterns based on machine learning and deep learning.

[0073] In other words, by incorporating past operating history and recurring environmental change patterns rather than relying solely on current sensor measurements, it becomes possible to proactively determine trends in outdoor air demand. Consequently, the prediction model analyzes the complex correlations between hourly occupancy changes, indoor air quality variations, external environmental changes, and equipment operating status to more precisely forecast future outdoor air requirements.

[0074] Therefore, customized outdoor air control suitable for the actual driving environment becomes possible, and the energy saving effect can be improved by reducing unnecessary outdoor air supply and excessive operation of the air conditioning unit (10).

[0075] Of course, when the air volume measured by the air volume sensor (20) converges within the set error range relative to the outside air requirement, the control unit (50) fixes the control output applied to the outside air damper (11), return damper (12), exhaust damper (15), supply air fan (14), and blower fan (16) in a fixed state. That is, since the control unit (50) can prevent unnecessary control calculations or repetitive driving changes from occurring while the target air volume is stably secured, mechanical wear and noise can be reduced and the lifespan of the equipment can be improved, and at the same time, power consumption can be reduced and energy efficiency improved.

[0076] Meanwhile, the air conditioning unit (10) is configured to be installed later on the existing air conditioning equipment, and the control unit (50) receives control signals or operation data from the existing air conditioning equipment and analyzes them together with measurement data from the airflow sensor (20), pressure sensor (30) and environment sensor unit (40), and based on the analysis results, can correct and control the operation status of the outside air damper (11), return damper (12), exhaust damper (15), supply air fan (14) and blower fan (16).

[0077] That is, since the air conditioning unit (10) according to the present invention can be additionally installed and operated in conjunction with existing air conditioning equipment, it is possible to implement a prediction-based automatic air conditioning control function without completely replacing the existing air conditioning equipment. Accordingly, outdoor air control performance and energy efficiency can be improved while maintaining the structure of the existing air conditioning system as much as possible.

[0078] At this time, the control unit (50) can analyze the damper control signal and fan operation signal received from the existing air conditioning equipment together with real-time measurement data collected from the airflow sensor (20), pressure sensor (30), and environment sensor unit (40). This enables correction control that simultaneously reflects the operating characteristics of the existing air conditioning equipment and the actual indoor environment conditions.

[0079] In other words, since the present invention enables outdoor air control and prediction-based air conditioning control without the need for separate large-scale equipment replacement through integration with existing air conditioning facilities, it can be easily applied to existing buildings or industrial facilities. Furthermore, because it allows for the continuous utilization of operating data from existing facilities, it enables the maintenance of an optimal control state that responds to environmental characteristics even after installation.

[0081] Although the present invention has been described with reference to the embodiments illustrated in the drawings, this is merely illustrative, and those skilled in the art will understand that various modifications and equivalent alternative embodiments are possible therefrom.

[0082] Therefore, the true technical scope of protection of the present invention should be determined by the following claims. Explanation of the symbols

[0084] 10: HVAC unit 11: Outside air damper 12: Return damper 13: Mixing chamber 14: Supply fan 15: Exhaust damper 16: Blower fan 20: Airflow sensor 30: Pressure sensor 40: Environmental sensor unit 50: Control unit

Claims

Claim 1 An air conditioning unit comprising an outside air damper for introducing outside air, a return damper for introducing indoor return air, a mixing chamber where air introduced from the outside air damper and the return damper is mixed, a supply fan for supplying air from the mixing chamber to the room, an exhaust damper for discharging air from the mixing chamber to the outside, and a blower fan for discharging air through the exhaust damper; an airflow sensor for measuring the amount of air moving from the mixing chamber to the supply fan; a pressure sensor for measuring the difference between the internal pressure of the mixing chamber and the external pressure; and an environmental sensor unit for collecting environmental data including indoor air quality information. The automatic air conditioning control system comprises: a control unit that controls the outside air damper, the return damper, the supply fan, the exhaust damper, and the blower fan based on data received from the airflow sensor, the pressure sensor, and the environment sensor unit; wherein the control unit predicts the outside air demand based on operating data and real-time environment data, sets a target pressure difference based on the predicted outside air demand, and controls the opening rate of the outside air damper, the return damper, and the exhaust damper and the rotational speed of the supply fan and the blower fan according to the error between the actual pressure difference measured through the pressure sensor and the target pressure difference to adjust the pressure state of the mixing chamber; and performs a first control loop that corrects the calculation parameter of the target pressure difference based on the deviation between the airflow measured through the airflow sensor and the outside air demand. Claim 2 An automatic air conditioning control system according to claim 1, wherein the control unit analyzes the correlation between environmental data including at least one of indoor carbon dioxide concentration, temperature, and humidity and operation schedule data including occupancy information by set time intervals to predict a time series change in outdoor air demand. Claim 3 An automatic air conditioning control system according to claim 1, characterized in that the control unit calculates a prediction error between the outside air demand and the airflow measured through the airflow sensor, and performs adaptive control to correct the prediction model in real time by updating the correction coefficient of the target pressure difference calculation algorithm based on the prediction error. Claim 4 An automatic air conditioning control system according to claim 1, wherein the control unit preemptively increases the target pressure difference when an increase in the demand for outside air is predicted, thereby controlling in advance the opening rate of the outside air damper, the return damper, and the exhaust damper, and the rotational speed of the supply fan and the blower fan. Claim 5 An automatic air conditioning control system according to claim 1, wherein the control unit performs hybrid control combining feedforward control, which determines the initial driving values ​​of the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan based on the outside air demand, and feedback control, which corrects the initial driving values ​​based on the measured values ​​of the airflow sensor and the pressure sensor. Claim 6 An automatic air conditioning control system according to claim 1, wherein the control unit includes a memory that chronologically stores data collected from the airflow sensor, the pressure sensor, and the environment sensor unit, as well as the driving history of the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan, and updates the computation parameters of a prediction model by analyzing the data stored in the memory and learning the pattern of change in the amount of outside air inflow according to environmental conditions. Claim 7 An automatic air conditioning control system according to claim 6, wherein the prediction model utilizes driving data stored in the memory as a training dataset and calculates the outdoor air requirement using at least one of a statistical algorithm that calculates correlations between multiple variables, and an artificial intelligence algorithm that recognizes data patterns based on machine learning and deep learning. Claim 8 An automatic air conditioning control system according to claim 1, wherein the control unit fixes the control output applied to the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan to a maintenance state when the airflow measured through the airflow sensor converges within a set error range relative to the outside air requirement. Claim 9 An automatic air conditioning control system according to claim 1, wherein the outside air damper, the return damper, and the exhaust damper are each configured in a modulating drive method that continuously variably adjusts the opening rate in response to the output signal of the control unit, and the supply fan and the blower fan are each characterized in that their rotational speeds are continuously variably controlled in response to a variable frequency applied from an inverter. Claim 10 An automatic air conditioning control system according to claim 1, wherein the air conditioning unit is configured to be installed later on an existing air conditioning facility, and the control unit receives control signals or operation data from the existing air conditioning facility, analyzes them together with measurement data from the airflow sensor, the pressure sensor, and the environment sensor unit, and corrects and controls the operation status of the outside air damper, the return damper, the exhaust damper, the supply fan, and the blower fan based on the analysis results.

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