Controll Method of Air Conditioner

Abstract

The present invention relates to a method for controlling an air conditioner. The control method of an air conditioner according to the present invention collects indoor unit data for each of a plurality of indoor units connected to an outdoor unit, adjusts the total flow rate of refrigerant supplied to the plurality of indoor units based on the total indoor unit load determined from the indoor unit data of each of the plurality of indoor units, and adjusts the individual flow rate of refrigerant flowing to each of the plurality of indoor units based on a cluster for each indoor unit that matches the indoor unit data of each of the plurality of indoor units.

Description

Technology Field

[0001] The present invention relates to a method for controlling an air conditioner, and more specifically, to a method for controlling an air conditioner that identifies the condition of an indoor space and performs control accordingly. Background Technology

[0002] As the amount of time spent in indoor spaces, such as residential or office areas, increases, the demand for indoor comfort is rising. Indoor comfort can be enhanced by placing an indoor unit and supplying heat-exchanged or purified air to the space.

[0003] An air conditioner can increase the comfort of an indoor space by supplying cooled air to the indoor space when the indoor temperature is high and heated air to the indoor space when the indoor temperature is low.

[0004] Conventional air conditioners perform tracking control based on the temperature, wind direction, and wind speed entered by the user. This can cause problems such as failing to satisfy the comfort level of occupants depending on the condition of the indoor space, or failing to quickly change the indoor space to a comfortable state.

[0005] In addition, since it fails to reflect changes in the indoor space or the condition of the indoor unit, it may lead to a problem where the period during which the indoor space is maintained in a comfortable state is relatively reduced.

[0006] In addition, in air conditioners containing multiple indoor units, it is difficult to quickly maintain comfort levels across all indoor units, and there is a problem with the difficulty of individual indoor unit care.

[0007] Registered Patent No. 10-2077175 discloses mapping an air conditioner to one of a plurality of groups based on operation information received from an air conditioner, and controlling the air conditioner using a cooling index prediction model corresponding to the mapped group.

[0008] However, in the case of the prior art, since individual air conditioners are matched to one of multiple groups, the characteristics of the individual air conditioners are lost, and only characteristics matching the average characteristics of the matched group remain. Consequently, the entire indoor unit is controlled by a cooling indicator based on the average value of the matched group, which may cause inconvenience to the user.

[0009] In addition, since it uses models stored on a server, it includes a risk factor that group mapping and prediction are impossible if the connection to the server is lost due to external or internal factors.

[0010] Registered patent KR10-1757446 discloses controlling an air conditioner based on indoor and outdoor environmental factor measurements, a heat index, a thermal comfort index, and learning data.

[0011] However, the prior art patent has a problem in that the timing at which the user executes a control command for the air conditioning device is after the point at which the user has already perceived discomfort, making it difficult to provide fast and accurate control that takes into account the user's condition or the condition of the indoor space. The problem to be solved

[0012] The problem that the present invention aims to solve is to provide an air conditioner capable of efficiently controlling multiple indoor units.

[0013] The problem that the present invention aims to solve is to provide a control method for an air conditioner that adapts to the local space and can quickly bring the indoor space to a comfortable state.

[0014] Another objective of the present invention is to provide a control method for an air conditioner that can enhance user comfort through customized control of the indoor space in response to the state and fluctuations of the indoor space.

[0015] Another objective of the present invention is to provide a control method for an air conditioner that maintains or modifies the tracking temperature of an indoor unit based on a user's set temperature and the expected average thermal sensation affecting the user.

[0016] The problems of the present invention are not limited to those mentioned above, and other unmentioned problems will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0017] To achieve the above objective, a control method for an air conditioner according to an embodiment of the present invention collects indoor unit data for each of a plurality of indoor units connected to an outdoor unit, and can collect the temperature and humidity of the space where the indoor units are installed or the set temperature set by the user. In addition, the total flow rate of the refrigerant supplied to the plurality of indoor units can be controlled based on the total indoor unit load determined from the indoor unit data of each of the plurality of indoor units. The individual flow rate of the refrigerant flowing to each of the plurality of indoor units can be controlled based on the clusters for each indoor unit that are matched from the indoor unit data of each of the plurality of indoor units. The control method for the air conditioner can rapidly perform appropriate temperature control for each indoor unit by controlling the flow rate of the refrigerant supplied to each of the plurality of indoor units.

[0018] The above total indoor unit load can be determined based on the average value of the cluster level for each indoor unit in operation among the plurality of indoor units connected to the outdoor unit, thereby determining the flow rate of the refrigerant supplied to the plurality of indoor units.

[0019] The step of controlling the total flow rate of the refrigerant can control the refrigerant flow by adjusting the rotational speed of the compressor installed in the outdoor unit based on the degree of the total indoor unit load, thereby identifying the status of the multiple indoor units.

[0020] The step of controlling the individual flow rate of the refrigerant above can control the refrigerant flow rate for each indoor unit by controlling the indoor expansion valve placed in each indoor unit so that the relative amount of refrigerant is controlled based on the level difference of the cluster matched for each indoor unit, thereby taking into account the indoor conditions of each indoor unit.

[0021] The method further includes a step of controlling the indoor unit based on the cluster for each indoor unit, thereby allowing for individual control of the indoor unit by considering the state of the indoor environment in which each indoor unit is installed.

[0022] The step of controlling the indoor unit can control the rotational speed of the indoor unit fan and the arrangement of the vanes based on the matched cluster.

[0023] The method includes a step of recollecting indoor unit data for each of a plurality of indoor units, and a step of readjusting the total flow rate of the refrigerant supplied to the plurality of indoor units based on whether there is a change in the total indoor unit load determined from the recollected indoor unit data for each of the plurality of indoor units, thereby enabling the refrigerant supplied to each indoor unit to be adjusted by identifying changes in the state of the indoor environment where each indoor unit is installed.

[0024] The step of recollecting indoor unit data for each of the multiple indoor units is performed at set time intervals, allowing for a sensitive response to changes in the state of the indoor space.

[0025] The method further includes a step of readjusting the individual flow rate of the refrigerant flowing to each of the plurality of indoor units based on whether there is a cluster variation for each indoor unit matching the indoor unit data of each of the plurality of indoor units collected, thereby allowing the induction of the refrigerant to be controlled by considering the relative state of the indoor environment in which the indoor units are installed.

[0026] The indoor unit data includes indoor temperature, indoor humidity, and the number of occupants detected by an indoor sensing unit, and a set temperature entered by a user. After the step of recollecting the indoor unit data, the method includes the step of determining the superheating degree change based on the change in the number of occupants in the indoor space where each indoor unit is installed, and the step of readjusting the individual flow rate of the refrigerant flowing to each of the plurality of indoor units based on the change in the superheating degree of each indoor unit, thereby allowing the load change of the indoor unit to be taken into account in response to the change in the number of occupants.

[0027] The method further includes a step of readjusting the indoor units based on the indoor unit data of each of the aforementioned multiple indoor units collected, thereby enabling response to changes in the state of multiple indoor spaces.

[0028] The step of controlling the indoor unit includes the step of matching an airflow corresponding to a cluster based on cluster classification data and airflow classification data stored in the storage unit, and the step of controlling the airflow discharged through the discharge port of the matched airflow, thereby enabling each of the plurality of indoor units to be controlled according to the condition of the indoor space.

[0029] The indoor unit data includes an indoor temperature detected by an indoor temperature sensor, an indoor humidity detected by an indoor humidity sensor, and a set temperature entered by a user. The step of controlling the indoor unit may include a step of determining a comfortable humidity range based on the set temperature and expected average thermal sensation data. The step of controlling the indoor unit may include a step of determining a comfortable set temperature by comparing the indoor humidity at the set temperature with the comfortable humidity range. The step of controlling the indoor unit may include a step of controlling the indoor unit to track the comfortable set temperature. The control method of the air conditioner can control the indoor space to a comfortable state.

[0030] The above comfortable setting temperature can be adjusted to a range where the expected average thermal sensation provides comfort to the user by establishing the above setting temperature as the comfortable setting temperature when the indoor humidity at the above setting temperature falls within the comfortable humidity range.

[0031] When the above-mentioned comfortable setting temperature is not included in the comfortable humidity range, the temperature corresponding to the expected average thermal sensation at the above-mentioned indoor humidity is determined as the comfortable setting temperature, thereby allowing the temperature to be adjusted to a range where the expected average thermal sensation provides comfort to the user.

[0032] Specific details of other embodiments are included in the detailed description and drawings. Effects of the invention

[0033] According to the control method of the air conditioner of the present invention, one or more of the following effects are provided.

[0034] First, it has the advantage of effectively controlling multiple indoor units by considering the total load of multiple indoor units and the individual loads of each indoor unit to determine the total refrigerant flow rate and the flow rate to be supplied to individual indoor units.

[0035] Second, by modifying the cluster based on the fluctuation trends of the cluster regarding the condition of the indoor space and the indoor unit, it has the advantage of adapting to the local space and rapidly improving the comfort level of the indoor space.

[0036] Third, there is also the advantage of being able to quickly control the indoor space by identifying changes in the degree of overheating based on changes in the number of people in the indoor space and responding quickly to changes in the condition of the indoor space.

[0037] Fourth, it has the advantage of being able to maintain the indoor space at an optimal temperature by controlling the indoor space based on the user's set temperature and the expected average thermal sensation of the indoor space.

[0038] The effects of the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description in the claims. Brief explanation of the drawing

[0039] FIG. 1 is a schematic diagram of an air conditioner including an outdoor unit and a plurality of indoor units according to one embodiment of the present invention. FIG. 2 is a system diagram in which an outdoor unit and a plurality of indoor units are connected according to one embodiment of the present invention. FIG. 3 is a block diagram showing the integrated control unit, outdoor unit control unit, and indoor unit control unit and related configurations according to one embodiment of the present invention. FIG. 4 is a block diagram showing an indoor unit control unit and related configurations according to one embodiment of the present invention. Figure 5 is a diagram illustrating existing data stored in a storage unit collected from multiple environments. Figure 6 is data clustered based on indoor temperature, indoor humidity, and the difference between indoor temperature and set temperature, using existing data collected from multiple environments. Figure 7a shows data classified into multiple clusters based on indoor temperature and indoor humidity in cooling mode. Figure 7b shows data classified into multiple clusters based on indoor temperature and indoor humidity in heating mode. Figure 8 is a flowchart illustrating the process of correcting clusters. Figure 9 is a diagram illustrating multiple operating cycles of an indoor unit. FIG. 10 is a flowchart illustrating a method for controlling multiple indoor units connected to an outdoor unit. Figure 11 is data to explain the change in overheating according to the change in personnel. Figure 12 is a flowchart for controlling indoor units in individual indoor units. Figure 13 is a flowchart illustrating a method for controlling airflow by cluster in an indoor space. FIG. 14a is data classifying airflow control according to an embodiment of the present invention, and is data for explaining airflow control according to cluster level in cooling mode. FIG. 14b is data classifying airflow control according to an embodiment of the present invention, and is data for explaining airflow control according to cluster level in heating mode. FIG. 15 is a flowchart of a method for comfortably controlling an indoor space according to one embodiment of the present invention. FIG. 16 is data for explaining the expected average thermal sensation data, and is the expected average thermal sensation data in cooling mode according to one embodiment. Specific details for implementing the invention

[0040] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Throughout the specification, the same reference numerals refer to the same components.

[0041] Hereinafter, the present invention will be described with reference to the drawings for explaining a control method of an air conditioner according to embodiments of the present invention.

[0042] <Composition>

[0043] Referring to FIGS. 1 and 2, the air conditioner of the present invention may include an outdoor unit (10) and a plurality of indoor units (30a, 30b, 30c) connected to the outdoor unit (10).

[0044] Referring to FIG. 2, the outdoor unit (10) may include a compressor (12) that compresses the refrigerant, an outdoor heat exchanger (14) that exchanges heat with the outside air for the refrigerant discharged from the compressor (12), a switching valve (16) that sends the refrigerant discharged from the compressor (12) to the outdoor heat exchanger (14) or the indoor unit, and an outdoor expansion valve (18) that expands the refrigerant flowing to the outdoor heat exchanger (14).

[0045] Referring to FIG. 2, each of the plurality of indoor units (30a, 30b, 30c) may include an indoor unit fan (32) that forms air flow into the indoor space, an indoor heat exchanger (34) that exchanges heat between the indoor air and the refrigerant, and an indoor expansion valve (36) that controls or expands the flow rate of the refrigerant flowing into the indoor heat exchanger (34).

[0046] Referring to FIG. 3, the air conditioner may include an integrated control unit (50) that clusters indoor spaces in which each of a plurality of indoor units is installed, taking into account the conditions of the outdoor environment and the indoor environment, an outdoor unit control unit (20) that is linked with the integrated control unit (50) and controls the operation of a compressor (12) installed in an outdoor unit (10), and an indoor unit control unit (40) that is linked with the outdoor unit control unit (20) and detects the indoor environment or controls the operation of an indoor unit fan (32) and a vane (38).

[0047] The indoor unit fan (32) can control the volume of air flowing through the discharge port (not shown) of the indoor unit, and the vane (38) can control the direction of air flowing through the discharge port.

[0048] The integrated control unit (50) can cluster the indoor space into multiple clusters based on indoor environment information stored in the storage unit (60). Here, the multiple clusters may refer to groups classified based on the temperature, humidity, and the difference between the set temperature and the indoor temperature of the indoor space.

[0049] The integrated control unit (50) can match an indoor space in which an indoor unit is placed with one of a plurality of clusters based on existing data (62) stored in the storage unit (60) and field data (64) measured through the outdoor sensing unit (22) and the indoor sensing unit (42) and stored in the storage unit (60).

[0050] The integrated control unit (50) can transmit cluster matching information for each of the multiple indoor spaces in which multiple indoor units (30a, 30b, 30c) are installed to the indoor unit control unit (40) through the outdoor unit control unit (20). The indoor unit control unit (40) can control the operation of the indoor unit fan (32) and vane (38) based on the cluster information of the indoor space received from the integrated control unit (50). The indoor unit control unit (40) can transmit information sensed by the indoor sensing unit (42) to the integrated control unit (50) through the outdoor unit control unit (20).

[0051] The integrated control unit (50) can detect the total load of a plurality of indoor units (30a, 30b, 30c) and transmit it to the outdoor unit control unit (20). Detecting the total load of a plurality of indoor units (30a, 30b, 30c) can be determined based on the cluster of indoor environments where each of the plurality of indoor units (30a, 30b, 30c) is installed.

[0052] The outdoor unit control unit (20) can control the operation of the compressor (12) based on the total load of the plurality of indoor units (30a, 30b, 30c) received from the integrated control unit (50). The outdoor unit control unit (20) can transmit information sensed by the outdoor sensing unit (22) to the integrated control unit (50).

[0053] The outdoor unit control unit (20) can control the flow rate of the refrigerant flowing to each of the multiple indoor units (30a, 30b, 30c) by controlling the compressor (12). The outdoor unit control unit (20) can receive information regarding the total load of the multiple indoor units (30a, 30b, 30c) from the integrated control unit (50) and control the operation of the compressor (12).

[0054] Unlike FIG. 3, it is also possible for the outdoor unit control unit (20) to be included in the integrated control unit (50). Accordingly, the integrated control unit (50) can directly operate or drive the compressor (12) and receive data sensed from the outdoor sensing unit (22).

[0055] The outdoor sensing unit (22) may include an outdoor temperature sensor (24) that detects the temperature of the outdoor space and an outdoor humidity sensor (26) that detects the humidity of the outdoor space.

[0056] Referring to FIG. 4, the indoor sensing unit (42) includes an indoor temperature sensor (44) that detects the temperature of the indoor space and an indoor humidity sensor (46) that detects the humidity of the indoor space. The temperature and humidity detected by the indoor sensing unit (42) can be transmitted to the integrated control unit (50) through the indoor unit control unit (40). Referring to FIG. 4, the indoor sensing unit (42) may include a camera (45) that detects occupants of the indoor space. Through the camera (45), the number of occupants of the indoor space or changes in the number of occupants can be detected.

[0057] Referring to FIG. 4, the air conditioner may include an indoor unit control unit (40) that controls the indoor unit fan (32) or vanes based on the temperature and humidity of the indoor space or the user's set temperature.

[0058] The indoor air control unit (40) can control the rotational speed of the indoor air fan (32). The indoor air control unit (40) can control the amount of air discharged through the discharge port by controlling the indoor air fan (32).

[0059] The indoor air control unit (40) can change the arrangement of the vanes (38). The indoor air control unit (40) can adjust the direction of the air discharged from the discharge port by adjusting the arrangement of the vanes (38).

[0060] The indoor unit control unit (40) can control the indoor expansion valve (36). The indoor unit control unit (40) can control the amount of refrigerant flowing to the indoor unit by controlling the indoor expansion valve (36).

[0061] The indoor unit control unit (40) can transmit the temperature or humidity detected by the indoor sensing unit (42) and the set temperature entered by the user through the input unit (48) to the integrated control unit (50) through the outdoor unit control unit (20).

[0062] The integrated control unit (50) can match the indoor space where the indoor unit is installed to one of a plurality of clusters based on field data transmitted from the indoor unit control unit (40). The indoor unit control unit (40) can control the rotational speed of the indoor unit fan (32) which controls the airflow volume and wind speed of the air discharged through the discharge port. The indoor unit control unit (40) can control the arrangement of the vane (38) which controls the wind direction of the air discharged through the discharge port. The indoor unit control unit (40) can control the indoor expansion valve (36) which controls the amount of refrigerant flowing to the indoor unit from the refrigerant flowing from the outdoor unit (10).

[0063] Referring to FIG. 3, the storage unit (60) may include existing data (62) measured at multiple installation sites, field data (64) measured at the site where the current indoor unit and outdoor unit are installed, and cluster classification data (66) which clusters the indoor environment into multiple clusters based on the existing data (62) and field data (64). In the case where there is no information on the field data (64), the cluster classification data (66) may cluster the indoor environment into multiple clusters based only on the existing data (62). The storage unit (60) may include airflow classification data (68) which classifies the airflow based on the direction or volume of air discharged from the outlet of the indoor unit. The storage unit (60) may include predicted mean vote (PMV) data (70). The estimated average thermal sensation is calculated by measuring six thermal environmental factors (temperature, humidity, airflow, MRT, metabolic rate, and amount of clothing) of the human body and the surrounding environment using the thermal equilibrium equation between the human body and the surrounding environment, and may be data representing the degree of warmth and coldness as a numerical value from -3 to +3.

[0064] For the estimated average thermal sensation data (70), standard data from the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) can be used.

[0065] Referring to FIG. 5, existing data (62) may include indoor temperature, indoor humidity, outdoor temperature, outdoor humidity, and user-set temperature data measured or input from air conditioners installed in multiple environments. Field data (64) may include indoor temperature, indoor humidity, outdoor temperature, outdoor humidity, and user-set temperature data measured or input from air conditioners currently installed.

[0066] Referring to FIG. 6, the integrated control unit (50) can cluster the indoor environment into multiple clusters based on the indoor humidity, indoor temperature, and the difference between the set temperature and the indoor temperature, which are data of multiple environments stored in the storage unit (60). The integrated control unit (50) can cluster the indoor environment into multiple clusters based on the difference between the set temperature and the indoor temperature. Since the existing collected data may have a high proportion of data in a state where it has converged to the set temperature, it is also possible to cluster by sampling the data according to the state of the indoor space.

[0067] If indoor humidity data is missing among multiple environmental data, indoor humidity can be estimated from the indoor temperature and outdoor absolute humidity values.

[0068] The indoor environment can be clustered into 6 clusters using indoor temperature, indoor humidity, and the difference between the indoor temperature and the set temperature as input values. The 6 zones can be clustered based on the sensible heat load and latent heat load of the indoor unit.

[0069] In other words, indoor environments can be clustered based on criteria such as spaces where sensible and latent heat loads are well managed, spaces where only a portion of the sensible and latent heat loads are well managed, and spaces where sensible and latent heat loads need to be managed.

[0070] Indoor environments can be clustered by grouping data with similar characteristics. In other words, this refers to a learning method that groups ranges with similar load requirements for indoor units based on similar temperature and humidity, or the difference between indoor temperature and set temperature. Since indoor environment segmentation typically involves grouping unlabeled data, unsupervised learning methods may be utilized.

[0071] For clustering indoor environments, the K-means clustering algorithm can be used to divide the given data into multiple partitions. K-means clustering works by plotting n center points, finding the location of the center point n that minimizes the sum of distances between each point, and then grouping and classifying points close to this center point based on the center point.

[0072] Referring to FIGS. 7a and 7b, the indoor environment can be clustered into a first cluster level (LV1) where both sensible heat load and latent heat load are well handled, a second cluster level (LV2) where sensible heat load is well handled but latent heat load needs to be removed, a third cluster level (LV3) where latent heat load is well handled but sensible heat load needs to be handled, a fourth cluster level (LV4) where both sensible heat load and latent heat load need to be handled, and a fifth cluster level (LV5) where a large load needs to be handled.

[0073] Referring to FIG. 7a, as the cluster level increases, the degree of discomfort felt by the user in the indoor space may increase. Additionally, referring to FIG. 7a, the first cluster level (LV1) and the second cluster level (LV2) may be a range in which the user feels less discomfort compared to the third cluster level (LV3) to the fifth cluster level (LV5) because the indoor temperature is formed to be below the set temperature.

[0074] It can be classified that a higher cluster level requires a greater load. However, this is based on one embodiment, and it is also possible to classify that a lower cluster level requires a greater load.

[0075] FIG. 7a is a classification of the indoor environment in cooling mode, and FIG. 7b is a classification of the indoor environment in heating mode. Even in a heating mode like FIG. 7b, the degree of discomfort felt by the user may increase as the cluster level increases. In FIG. 7b as well, the first cluster level (LV1) and the second cluster level (LV2) may be a range in which the user feels less discomfort compared to the third cluster level (LV3) to the fifth cluster level (LV5) because the indoor temperature is formed above the set temperature.

[0076] In the storage unit (60), cluster classification data (66) in which indoor spaces such as Figures 7a to 7b are classified into multiple clusters can be stored.

[0077] The integrated control unit (50) can match an indoor space with one of a plurality of clusters based on the outdoor temperature and outdoor humidity detected by the outdoor sensing unit (22), the indoor temperature and indoor humidity detected by a plurality of indoor sensing units (42), and the user's set temperature input through the input unit (48).

[0078] Cluster Correction

[0079] Below, with reference to FIGS. 8 and 9, the details of cluster correction based on indoor unit operation and cluster fluctuation trends will be explained.

[0080] The indoor unit operates (S100) and undergoes a step (S110) in which indoor unit data is collected.

[0081] The indoor unit can be operated by user input. As the indoor unit is operated, the compressor (12) of the outdoor unit (10) can be operated. When the compressor (12) is operating, refrigerant can be supplied into the indoor unit by the indoor expansion valve (36). Therefore, the operation of the indoor unit may mean that the indoor unit fan (32) of the indoor unit operates and refrigerant flows into the indoor unit by the indoor expansion valve (36).

[0082] Indoor unit data may include data detected or input by the indoor sensing unit (42) or input unit (48).

[0083] The step (S110) of collecting indoor unit data may mean transmitting the temperature and humidity information of the indoor space detected by the indoor temperature sensor (44) and the indoor humidity sensor (46) to the integrated control unit (50). The indoor unit control unit (40) may transmit the temperature and humidity information of the indoor space to the integrated control unit (50) through the outdoor unit control unit (20).

[0084] The step (S110) of collecting indoor unit data may include transmitting the set temperature information entered by the user to the integrated control unit (50).

[0085] The set temperature can be entered by the user in the input section (48). However, if the user does not enter a separate set temperature, the set temperature entered in the input section (48) during previous use can be replaced with the entered set temperature.

[0086] The integrated control unit (50) performs the step (S120) of matching the indoor space to one of a plurality of clusters based on indoor unit data.

[0087] The step (S120) of matching an indoor environment with one of a plurality of clusters can be performed by preprocessing the collected indoor unit data.

[0088] In the process of preprocessing indoor data, if there is no indoor humidity sensor (46), the indoor humidity can be estimated based on the temperature and humidity information of the outdoor space detected by the outdoor temperature sensor (24) and the outdoor humidity sensor (26) installed in the outdoor unit (10), and the temperature information of the indoor space.

[0089] By preprocessing the collected indoor unit data, the computational influence between multiple collected data factors can be matched to a similar level.

[0090] The collected indoor unit data may have scale differences between each data point. To convert multiple data points into a single data point, the input values ​​(x) of the multiple field data can be normalized using the min-max scaling method (Equation 1).

[0091] <Equation 1>

[0092]

[0093] The cluster matching step (S120) can match an indoor space to one of a plurality of clusters included in the cluster classification data (66) based on the collected indoor unit data.

[0094] The cluster matching step (S120) can be performed based on the degree of proximity between a plurality of clusters stored in the cluster classification data (66) and the collected indoor unit data. In one embodiment, the collected data can be matched with the clusters stored in the cluster classification data (66) by calculating the Manhattan distance of <Equation 2>.

[0095] <Equation 2>

[0096]

[0097] As long as the indoor unit operation is not terminated, the steps of collecting indoor unit data and performing cluster matching can be repeated at set time intervals. By measuring indoor unit data at set time intervals, the trend of cluster fluctuations in the indoor space can be identified. The set time intervals can be set to the same time interval.

[0098] Therefore, when the indoor unit is not operating, if the set time elapses (S140), the indoor unit data can be collected again.

[0099] When the indoor unit operation ends (S130), a step (S150) of correcting the cluster based on the cluster fluctuation trend during the indoor unit's operation time may be performed.

[0100] Here, the operating time of the indoor unit may refer to the time from when the indoor unit starts operating until it stops operating.

[0101] The step of correcting clustering (S150) involves collecting matched clusters at set intervals during the operation time of the indoor unit, and correcting the clusters upward when the proportion of the third cluster level to the fifth cluster level in the collected cluster data is formed to be more than half.

[0102] During the indoor unit's operation, the temperature of the indoor space changes to approach the set temperature. In other words, as the indoor unit operates, the cluster of the indoor space can fluctuate to lower the load required by the indoor unit.

[0103] During the indoor unit's operation time, the cluster level matched by the indoor unit data may change in a direction that lowers the cluster level. During the indoor unit's operation time, multiple field data points may be collected, and multiple cluster calculation values ​​may be derived.

[0104] Accordingly, in the cluster matching data determined during the indoor unit's operating time, if the proportion of the first cluster level and the second cluster level is less than half, a correction to increase the cluster level can be performed. If the proportion of the third to fifth cluster levels is large during the indoor unit's operating time, it can be determined that the user experiences discomfort for a long period, and that the user's comfort level does not change rapidly even with the operation of the indoor unit. Therefore, by increasing the overall cluster level, the comfort level of the indoor space can be quickly satisfied.

[0105] Clusters measured by multiple circuits during the indoor unit's operation time may have a high proportion of data when converged to the set temperature. Therefore, the calculated values ​​of the clusters measured during the indoor unit's operation time may have a large proportion of the first cluster level and the second cluster level.

[0106] The step of correcting the cluster (S150) can correct the initial cluster value. Additionally, additional cluster values ​​may be corrected by reflecting the correction of the initial cluster value. That is, clusters in areas with a temperature or humidity range higher than the initial cluster value, or areas with a large difference between the indoor temperature and the set temperature, may also be corrected upward.

[0107] To increase the accuracy of the cluster correction step (S150), the proportion of the third cluster level (LV3) to the fifth cluster level (LV5) measured in the operating cycle of multiple indoor units can be considered.

[0108] Here, the operating cycle of the indoor unit may refer to the time from when the indoor unit's operation begins until when the indoor unit's operation ends. The operating time of the indoor unit used above may refer to the time operated within the indoor unit's operating cycle. Therefore, multiple operating cycles may mean that the state of the indoor unit operating and ending has proceeded multiple times.

[0109] The data used as the operating cycle for multiple indoor units may utilize the operating cycle used at a point in time prior to the corresponding operating time. Therefore, the operating cycle of an indoor unit including the time when operation was most recently completed, and the operating cycle of an indoor unit including the time when operation was completed prior to that, may be used.

[0110] In addition, since current measured data can accurately identify indoor conditions compared to past measured data, weights can be assigned to the current measured data.

[0111] Referring to FIG. 9, the operation that was recently completed can be set as the first operation cycle (d0) of the indoor unit, the operation that was completed prior to the first operation cycle (d0) of the indoor unit can be set as the second operation cycle (d1) of the indoor unit, and the operation that was completed prior to the second operation cycle (d1) of the indoor unit can be set as the third operation cycle (d2) of the indoor unit.

[0112] A maximum weight may be assigned to the ratio (d0) in which the third cluster level (LV3) to the fifth cluster level (LV5) is measured during the first operating cycle (d0) of the indoor unit, a minimum weight may be assigned to the ratio (d2) in which the third cluster level (LV3) to the fifth cluster level (LV5) is measured during the third operating cycle (d2) of the indoor unit, and an intermediate weight may be assigned to the ratio (d1) in which the third cluster level (LV3) to the fifth cluster level (LV5) is measured during the second operating cycle (d2) of the indoor unit.

[0113] In other words, the indoor state (dt) during the operating cycle can be determined by assigning weights in the manner of <Equation 3>.

[0114] <Equation 3>

[0115]

[0116] If the data used for the operating cycle of multiple indoor units increases, the contents of <Equation 3> may be modified.

[0117] The integrated control unit (50) can perform a correction to raise the cluster level if the indoor condition (dt) during the operation cycle exceeds 0.5.

[0118] In another embodiment, the step of correcting the cluster (S150) may involve collecting cluster-matched data at set time intervals during the operation time of the indoor unit, and correcting the cluster when the average value of the collected cluster-matched data is higher than the set standard.

[0119] At this time, when the cluster value of the 5th cluster level (LV5), which is the highest cluster level area, is set to 1, the cluster value of the 1st cluster level (LV1), which is the lowest cluster level area, is set to 0, and the cluster values ​​in between are distributed evenly, the setting standard can be set to 0.5.

[0120] When the average value of the cluster is higher than the set standard of 0.5, the initial cluster level can be corrected. During the operation time of the indoor unit, the average of the cluster data matched by multiple circuits is calculated, and when the calculated average value of the cluster is higher than the set standard, the initial cluster can be corrected.

[0121] The integrated control unit (50) can calculate and correct clusters for each of the multiple indoor spaces in which multiple indoor units (30a, 30b, 30c) are installed in the manner described above.

[0122] <Overall Control>

[0123] Hereinafter, with reference to FIG. 10, a control method for an air conditioner is described for controlling the indoor expansion valve (36) placed in each of the compressor (12) and the plurality of indoor units (30a, 30b, 30c) by collecting data of all indoor units and considering the total load of all indoor units and the load of individual indoor units.

[0124] First, the step (S200) of collecting indoor unit data for all indoor units (30a, 30b, 30c) is performed.

[0125] The indoor unit data of all indoor units (30a, 30b, 30c) may include the number of indoor units currently in operation among a plurality of indoor units connected to the outdoor unit (10), and the temperature, humidity, and set temperature of the indoor space where the indoor units in operation are installed. Additionally, the indoor unit data may include information regarding the number of people present in the indoor space where the indoor units are installed. The indoor unit control unit (40) may transmit information regarding the number of people in the indoor space detected by the camera (45) to the integrated control unit (50).

[0126] The integrated control unit (50) undergoes a step (S210) of matching clusters for each indoor unit based on indoor unit data of the indoor units in operation. Accordingly, the integrated control unit (50) can identify the number of indoor units in operation and the clusters of indoor spaces where the indoor units in operation are installed.

[0127] Afterwards, a step (S220) of controlling the total flow rate of the refrigerant supplied to multiple indoor units (30a, 30b, 30c) may be performed. The integrated control unit (50) can determine the total load required by all indoor units (30a, 30b, 30c) from the indoor unit data of all indoor units (30a, 30b, 30c). Based on the total load required by all indoor units (30a, 30b, 30c) determined by the integrated control unit (50), the total flow rate of the refrigerant supplied to multiple indoor units can be controlled.

[0128] The outdoor unit control unit (20) can control the total flow rate of refrigerant supplied to multiple indoor units by controlling the operation of the compressor (12). That is, depending on the required total load, the outdoor unit control unit (20) can control the amount of refrigerant discharged from the compressor (12).

[0129] In addition, a step (S230) of controlling the individual flow rate of the refrigerant supplied to each of the multiple indoor units (30a, 30b, 30c) may be performed.

[0130] The step (S230) of controlling the individual flow rate of the refrigerant can be performed by controlling the indoor expansion valve (36) placed in each indoor unit according to the cluster for each indoor unit determined by the integrated control unit (50).

[0131] The step (S230) of controlling the individual flow rate of the refrigerant can be performed by controlling the indoor expansion valve (36) so that the amount of refrigerant flowing to the indoor unit increases in the case of an indoor unit with a high cluster level, and by controlling the indoor expansion valve (36) so that the amount of refrigerant flowing to the indoor unit decreases in the case of an indoor unit with a low cluster level.

[0132] For example, if the first indoor space is determined to be at the fourth cluster level and the second indoor space is determined to be at the second cluster level, the indoor expansion valve (36) of the first indoor unit can be adjusted to increase the flow rate of the refrigerant to the first indoor unit placed in the first indoor space.

[0133] Additionally, a step (S240) for controlling individual indoor units may be performed. The step of controlling individual indoor units may be performed by controlling the operation of the indoor unit fan (32) and vane (38) according to the cluster of the space where each indoor unit is installed.

[0134] Afterward, when the set time has elapsed, indoor unit data of all indoor units (30a, 30b, 30c) can be re-collected (S250). The step of collecting indoor unit data can be performed at intervals of the set time after the previous indoor unit data has been collected.

[0135] The indoor unit data of all indoor units (30a, 30b, 30c) that are collected may include the number of indoor units currently in operation, information on the temperature, humidity, and set temperature of the indoor space where the indoor units in operation are installed, and information on the number of people in the indoor space.

[0136] The integrated control unit (50) can identify the cluster of indoor spaces at that time and the number of people in the indoor spaces at that time through the indoor unit data of all indoor units (30a, 30b, 30c).

[0137] The integrated control unit (50) can determine whether there is a cluster change for each indoor unit by comparing indoor unit data before the set time at that time with indoor unit data at that time (S260). That is, it can determine changes in the cluster level before and after the set time.

[0138] The integrated control unit (50) may go through a step (S265) of comparing indoor unit data before the set time of the corresponding time with indoor unit data at the corresponding time to determine whether there is a change in the degree of overheating of each indoor unit.

[0139] Here, the variation in superheating degree may refer to the amount of heat that may be additionally required or reduced depending on the change in the number of people in the indoor space.

[0140] The integrated control unit (50) can determine whether there is a change in the number of people in the indoor space around a set time and whether there is a change in the degree of overheating of the indoor unit.

[0141] Referring to Fig. 11, the change in the degree of overheating can be determined based on the change in the number of people. The degree of overheating may vary depending on the change in the number of people. Referring to Fig. 11, A0 may be the maximum required degree of overheating, and A4 may be the minimum required degree of overheating.

[0142] Referring to Fig. 11, the higher the cluster level or the more occupants there are in the indoor space, the higher the degree of overheating may be formed.

[0143] Referring to Fig. 11, even at the same cluster level, the degree of overheating can vary depending on the increase or decrease in the number of people. Also, referring to Fig. 11, the lower the cluster level, the more easily the target degree of overheating can change according to the change in the number of people.

[0144] Afterwards, the total flow rate of the refrigerant supplied to multiple indoor units is readjusted (S270). Based on the re-collected indoor unit data, the operation of the compressor (12) placed in the outdoor unit (10) can be adjusted according to the increase or decrease in the total indoor unit load of the multiple indoor units.

[0145] In addition, a step (S280) of readjusting the individual flow rate of the refrigerant supplied to each of the multiple indoor units may be performed.

[0146] The step of readjusting the individual flow rate of the refrigerant (S280) can be performed based on whether there is a cluster variation of each of the multiple indoor units and whether there is a superheat variation.

[0147] That is, the integrated control unit (50) transmits the cluster change details for each indoor unit and the superheat change status to each indoor unit control unit (40), and each indoor unit control unit (40) can control the indoor expansion valve (36).

[0148] That is, the indoor air control unit (40) can adjust the opening of the indoor expansion valve (36) to increase when the superheating level changes in the direction of increasing the number of people or when the cluster level of the indoor space increases. Conversely, the indoor air control unit (40) can adjust the opening of the indoor expansion valve (36) to decrease when the superheating level changes in the direction of decreasing the number of people or when the cluster level of the indoor space decreases.

[0149] Additionally, the indoor unit control unit (40) may undergo a step (S290) of readjusting individual indoor units when the cluster level of the indoor space changes or the degree of overheating changes. The readjustment step (S290) of individual indoor units can be performed by controlling the operation of the indoor unit fan (32) and vane (38).

[0150] Individual Indoor Unit Control

[0151] Referring to Fig. 12, cluster correction of individual indoor units and indoor unit control according to superheat fluctuations are explained.

[0152] First, a step (S300) of correcting the cluster based on the cluster level determined to be multiple circuits during the indoor unit's operating time may be performed. The cluster correction step (S300) may be performed based on data information of the previously terminated indoor unit's operating cycle.

[0153] The correction step (S320) of the cluster can be performed in the same way as described in FIG. 8.

[0154] Afterward, the indoor unit data is collected through the indoor sensing unit (42) and input unit (48) of the indoor unit (S310). The indoor unit data may include indoor temperature, indoor humidity, and set temperature. Additionally, the indoor unit data may include information regarding the number of people present in the indoor space where the indoor unit is installed.

[0155] Clusters of indoor spaces can be matched based on indoor unit data (S320). Through cluster matching, the cluster level of the indoor space where the indoor unit is installed can be determined.

[0156] A step (S330) of controlling the indoor unit based on the matched cluster can be performed. That is, based on the cluster level, the rotational speed of the indoor unit fan (32) can be controlled, or the arrangement of the vanes (38) can be controlled.

[0157] The step of controlling the indoor unit (S330) may include controlling the airflow based on the matched cluster described below (S420 to S430, see FIG. 13) or performing tracking control to maintain the indoor space in a comfortable state (S510 to S550, see FIG. 15).

[0158] Afterward, the set time elapses, and a step (S340) of recollecting indoor unit data may be performed. The indoor unit data recollected from the indoor unit may include information regarding the temperature, humidity, and set temperature of the indoor space, as well as information regarding the number of people in the indoor space.

[0159] The integrated control unit (50) can identify the cluster of indoor spaces at that time and the number of people in the indoor spaces at that time through indoor unit data.

[0160] The integrated control unit (50) may go through a step (S35) of determining whether there is a change in the cluster of the space around a set time. That is, it may determine whether there is a change in the cluster level around a set time.

[0161] The integrated control unit (50) may go through a step (S360) of determining whether there is a change in the number of people in the indoor space around a set time and determining whether there is a change in the degree of overheating of the indoor unit.

[0162] When the integrated control unit (50) determines that there is a change in the cluster level or a change in the degree of overheating, it can transmit information about the change in the degree of overheating to the indoor unit control unit (40). The indoor unit control unit (40) can go through the step (S370) of adjusting the operation of the indoor unit configuration based on the information about the change in the cluster or the change in the degree of overheating received from the integrated control unit (50).

[0163] Specifically, by adjusting the indoor expansion valve (36), the amount of refrigerant flowing into the indoor unit can be adjusted, and the rotational speed of the indoor unit fan (32) or the arrangement of the vanes (38) can be changed.

[0164] Afterwards, when the operation of the indoor unit is terminated, a step (S380) of correcting the cluster based on the fluctuation trend of the cluster during the operation time of the indoor unit may be further performed.

[0165] Indoor Airflow Control

[0166] Below, with reference to FIG. 13, a method for controlling airflow based on clusters in an indoor space is described.

[0167] It goes through a step (S400) where indoor unit data is collected.

[0168] The indoor unit can collect indoor temperature detected by the indoor temperature sensor (44), indoor humidity detected by the indoor humidity sensor (46), and set temperature information input through the input unit (48). The indoor unit control unit (40) can transmit information regarding the indoor temperature, indoor humidity, and set temperature to the integrated control unit (50).

[0169] The integrated control unit (50) performs the step (S410) of matching an indoor space to one of a plurality of clusters based on indoor unit data. The integrated control unit (50) can match the cluster of the indoor space based on the degree of proximity between the plurality of clusters stored in the cluster classification data (66) and the collected indoor unit data.

[0170] The integrated control unit (50) undergoes a step (S420) of matching airflow corresponding to a cluster based on cluster classification data (66) and airflow classification data (68) stored in the storage unit (60).

[0171] The airflow classification data (68) may include data classifying airflow according to cluster levels. Additionally, the airflow classification data (68) may include data classifying airflow according to the presence or absence of a human body. Additionally, the airflow classification data (68) may include data classifying airflow according to the presence or absence of a floor temperature sensor that detects the temperature of the floor.

[0172] Based on the airflow classification data (68), the airflow discharged through the outlet is controlled in a step (S430).

[0173] The airflow discharged from the indoor unit's outlet can be controlled differently depending on the cluster level.

[0174] Referring to FIGS. 14a to 14b, a table is disclosed that varies the airflow according to the cluster level in cooling mode or heating mode. The table is according to one embodiment, and it is also possible to classify the cluster level or the mode of airflow by further subdividing it.

[0175] Referring to FIG. 14a, it can be seen that in cooling mode, as the cluster level increases, the environment becomes hotter or more humid. Accordingly, the indoor unit control unit (40) can control the operation of the vane (38) or the indoor unit fan (32) according to the cluster level. That is, the rotational speed of the indoor unit fan (32) can be varied according to the degree of heat. Additionally, dehumidification operation can be performed additionally according to the degree of humidity. During dehumidification operation, the rotational speed of the indoor unit fan (32) can be reduced, and the indoor expansion valve (36) can be adjusted to increase the flow rate of the refrigerant.

[0176] Additionally, excluding the fifth cluster level, vanes (38) can be arranged to form an indirect airflow so that the air discharged from the outlet of the indoor unit does not flow directly to the occupant.

[0177] However, in situations where the cluster level is high, when there are no occupants, the arrangement of the vanes (38) can be operated as an auto-swing that continuously changes to rapidly cool the indoor space.

[0178] Referring to FIG. 14b, it can be seen that in heating mode, as the cluster level increases, the environment becomes colder or drier. Accordingly, the indoor unit control unit (40) can control the operation of the vane (38) or the indoor unit fan (32) according to the cluster level. That is, the rotation speed of the indoor unit fan (32) can be varied depending on the degree of low indoor temperature.

[0179] If the indoor temperature is significantly low, the user can be notified that separate humidification is required.

[0180] Vanes (38) can be arranged to form an indirect airflow so that the air discharged from the outlet of the indoor unit does not flow directly to the occupant. However, if human detection is difficult due to the absence of a camera (45), the vanes (38) can be adjusted to an automatic airflow.

[0181] The automatic airflow may include a fixed arrangement of vanes (38) so that the air discharged from the outlet is expelled in one direction, or a continuously changing arrangement of vanes (38) such as an auto-swing. The arrangement of vanes (38) in the automatic airflow may vary depending on the difference between the indoor temperature and the set temperature. That is, when the difference between the indoor temperature and the set temperature is large, such as in the fourth cluster level or the fifth cluster level, the vanes (38) may be arranged so that the air discharged through the outlet is expelled to the floor. Additionally, when the difference between the indoor temperature and the set temperature is small, such as in the first cluster level or the second cluster level, the vanes (38) may be arranged so that the air discharged through the outlet is expelled in a direction parallel to the ceiling.

[0182] Airflow control can operate for a set period after indoor unit data is collected. Therefore, once the set time has elapsed, it is also possible to control the airflow to the direction set by the user.

[0183] Afterwards, the process may proceed through a step (S440) in which indoor unit data is collected periodically, a step (S450) in which cluster fluctuations matched to the indoor unit data are checked, and a step (S470) in which airflow control is performed through airflow matching (S460).

[0184] Afterwards, when the operation of the indoor unit is terminated, a step (S480) of correcting the cluster based on the fluctuation trend of the cluster during the operation time of the indoor unit may be performed.

[0185] Comfortable Temperature Control

[0186] Hereinafter, with reference to FIG. 15, a control method for an air conditioner to control an indoor space to be comfortable is described. Comfortable air may be a method of calculating a comfortable temperature of an indoor space based on temperature and humidity data of the indoor space and controlling the airflow.

[0187] First, a step (S500) of collecting data through the indoor sensing unit (42) and the input unit (48) is performed. The temperature and humidity of the indoor space are detected through the indoor temperature sensor (44) and the indoor humidity sensor (46). Additionally, the set temperature entered by the user into the input unit (48) can be determined. If the indoor humidity sensor (46) is not present, the indoor humidity can be estimated from the outdoor humidity sensor (26) and the outdoor temperature sensor (24).

[0188] A step (S510) of matching an indoor space to one of a plurality of clusters based on indoor unit data is performed. The integrated control unit (50) can match the indoor unit data with one of a plurality of clusters included in the cluster classification data (66).

[0189] Afterwards, a step (S520) for determining the comfortable humidity range is performed. The comfortable temperature range can be determined based on the estimated average thermal sensation data stored in the storage unit (60).

[0190] The step of determining the comfortable humidity range (S520) can be determined based on the estimated average thermal sensation data. That is, based on the set temperature, the humidity range corresponding to the set value range of the estimated average thermal sensation can be identified. Here, the set value range of the estimated average thermal sensation can be set based on the user's level of comfort. As one embodiment, the comfortable humidity range corresponding to the estimated average thermal sensation range of -1 to 1 can be determined. (-1 <PMV<1)

[0191] Referring to FIG. 16, in cooling mode, the temperature and humidity range corresponding to the expected average thermal sensation range of -1 to 1 can be determined. As one embodiment, when the set temperature is 25 ℃, the humidity corresponding to the expected average thermal sensation range of -1 to 1 can be 59 to 80. In this way, the comfortable humidity range corresponding to the set temperature can be determined.

[0192] Afterwards, the comfortable set temperature is determined (S530), and the step of controlling the indoor unit to follow the comfortable set temperature (S540) is performed.

[0193] The comfortable setting temperature can be set based on whether the indoor humidity falls within the comfortable humidity range. It is possible to determine whether the current humidity falls within the comfortable humidity range based on the expected average thermal sensation data. Additionally, it is possible to predict the indoor humidity when the set temperature is reached based on the current indoor temperature and indoor humidity collected from the indoor unit data, and the set temperature, and to determine whether the predicted indoor humidity falls within the comfortable humidity range.

[0194] If the indoor humidity falls within the comfortable humidity range, the set temperature can be confirmed as the comfortable set temperature.

[0195] If the indoor humidity is not within the comfortable humidity range, the temperature corresponding to the expected average thermal sensation in the indoor humidity setting value range can be determined as the comfortable setting temperature. The setting value range of the expected average thermal sensation may be a range corresponding to the expected average thermal sensation of -1 to 1.

[0196] The comfortable setting temperature can be set within a range where the temperature difference from the existing setting temperature does not exceed the additional setting temperature range. That is, if the temperature corresponding to the expected average thermal sensation setting value range in indoor humidity has a temperature difference within the existing setting temperature and the additional setting temperature range, the temperature corresponding to the expected average thermal sensation setting value range in indoor humidity can be determined as the comfortable setting temperature. The additional setting temperature range may vary depending on the size of the indoor space or the setting temperature, and as one embodiment, it is also possible to set the additional setting temperature range to 2 to 4 ℃.

[0197] However, when the temperature corresponding to the expected average thermal sensation range in indoor humidity exceeds the existing set temperature and the additional set temperature range, the value obtained by correcting the existing set temperature to the maximum value of the additional set temperature range can be determined as the comfortable set temperature.

[0198] Here, correcting the maximum value of the additional set temperature range to the existing set temperature may mean adding or subtracting the maximum value of the additional set temperature range from the existing set temperature. That is, the maximum value of the additional set temperature range may be added or subtracted from the existing set temperature in a direction that brings the expected average thermal sensation in indoor humidity closer to the temperature corresponding to the set value range.

[0199] Afterwards, when the operation of the indoor unit is terminated, a step (S550) of correcting the cluster based on the fluctuation trend of the cluster during the operation time of the indoor unit may be performed.

[0200] Although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above. Various modifications are possible by those skilled in the art without departing from the essence of the invention as claimed in the patent claims, and such modifications should not be understood individually from the technical spirit or perspective of the present invention. Explanation of the symbols

[0202] 10: Outdoor unit 12: Compressor 20: Outdoor unit control unit 22: Outdoor sensing unit 30a, 30b, 30c: Indoor unit 32: Indoor unit fan 36 : Indoor expansion valve 38 : Vane 40: Indoor unit control unit 42: Indoor sensing unit 50: Integrated Control Unit 60: Storage Unit

Claims

Claim 1 A control method for an air conditioner comprising: a step of collecting indoor unit data for each of a plurality of indoor units connected to an outdoor unit; a step of adjusting the total flow rate of refrigerant supplied to the plurality of indoor units based on the total indoor unit load determined from the indoor unit data of each of the plurality of indoor units; a step of adjusting the individual flow rate of refrigerant flowing to each of the plurality of indoor units based on the indoor unit data of each of the plurality of indoor units; a step of recollecting indoor unit data for each of the plurality of indoor units; and a step of readjusting the total flow rate of refrigerant supplied to the plurality of indoor units based on whether there is a change in the total indoor unit load determined from the recollected indoor unit data of each of the plurality of indoor units. Claim 2 A control method for an air conditioner according to claim 1, wherein the air conditioner comprises: a storage unit that stores a plurality of clusters classified according to the load state of an indoor space based on indoor temperature, indoor humidity, and set temperature information collected from each of the plurality of indoor units; and an integrated control unit that controls the operation of the indoor units using the plurality of clusters stored in the storage unit, wherein the plurality of clusters are classified into a plurality of cluster levels that are divided stepwise according to the magnitude of the load based on the load required of the indoor units, and the total indoor unit load is determined based on the average value of the cluster levels for each indoor unit currently in operation among the plurality of indoor units connected to the outdoor unit. Claim 3 In claim 1, the step of controlling the total flow rate of the refrigerant is a control method for an air conditioner that controls the rotational speed of a compressor placed in the outdoor unit based on the degree of the total indoor unit load. Claim 4 In claim 2, the step of controlling the individual flow rate of the refrigerant is a control method for an air conditioner that controls an indoor expansion valve placed in each indoor unit so that the relative amount of refrigerant is controlled based on the level difference of the cluster matched to each indoor unit. Claim 5 A control method for an air conditioner according to claim 2, further comprising the step of controlling the indoor unit based on the cluster for each indoor unit. Claim 6 In claim 5, the step of controlling the indoor unit is a method for controlling an air conditioner that controls the rotational speed of the indoor unit fan and the arrangement of vanes that control the direction of air flowing through the discharge port of the indoor unit based on a matched cluster. Claim 7 delete Claim 8 In claim 1, the step of recollecting indoor unit data for each of a plurality of indoor units is a control method for an air conditioner performed at set time intervals. Claim 9 A control method for an air conditioner according to claim 2, further comprising the step of readjusting the individual flow rate of a refrigerant flowing to each of the plurality of indoor units based on whether there is a cluster variation for each indoor unit that matches the indoor unit data of each of the plurality of indoor units collected. Claim 10 A control method for an air conditioner according to claim 1, wherein the indoor unit data includes an indoor temperature, indoor humidity, and number of occupants detected by an indoor sensing unit, and a set temperature entered by a user, and after the step of recollecting the indoor unit data, the method includes the step of determining a change in superheating degree based on a change in the number of occupants in an indoor space where each indoor unit is installed, and the step of readjusting the individual flow rate of refrigerant flowing to each of the plurality of indoor units based on the change in superheating degree of each indoor unit. Claim 11 A control method for an air conditioner according to claim 9, further comprising the step of readjusting the indoor units based on the indoor unit data of each of the plurality of indoor units collected. Claim 12 In claim 5, the storage unit comprises: existing data measured at multiple installation sites, field data measured at a site where the indoor unit is installed, cluster classification data in which the indoor environment is clustered into multiple clusters based on the existing data and the field data, and airflow classification data in which airflow is classified based on the wind direction or air volume of air discharged through the discharge port of the indoor unit, and the step of controlling the indoor unit comprises: a step of matching an airflow corresponding to a cluster based on the cluster classification data and airflow classification data stored in the storage unit, and a step of controlling the airflow discharged through the discharge port of the matched airflow. Claim 13 In claim 5, the step of controlling the indoor unit comprises: a step of determining a comfortable humidity range based on a set temperature and expected average thermal sensation data; a step of determining a comfortable set temperature by comparing the indoor humidity at the set temperature with the comfortable humidity range; and a step of controlling the indoor unit to follow the comfortable set temperature. Claim 14 In claim 13, the above comfortable setting temperature is a control method for an air conditioner that determines the setting temperature as the comfortable setting temperature when the indoor humidity at the setting temperature is included in the comfortable humidity range. Claim 15 In claim 13, the above-mentioned comfortable setting temperature is a control method for an air conditioner that determines the temperature corresponding to the expected average thermal sensation at the indoor humidity as the comfortable setting temperature when the indoor humidity is not included in the comfortable humidity range.

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