JP2013124833A - Air conditioning device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an air conditioning device capable of achieving more comfortable air conditioning on the basis of an output of a radiation temperature from an infrared sensor.SOLUTION: An air conditioning device includes an infrared sensor 31, an enhancement interpolation section 23 which enhances and interpolates a radiation temperature of each detection grid to be output from the infrared sensor 31 on the basis of the radiation temperatures of an own detection grid and an adjacent detection grid thereof and outputs an enhanced radiation temperature, a feature value extraction section 24 which extracts a human existence grid wherein human exists according to whether the enhanced radiation temperature output from the enhancement interpolation section 23 is higher than a threshold temperature, and an air conditioning control section 25 which controls air conditioning parameters having an influence on warm-cold sense of human according to the extraction result of the human existence grid of the feature value extraction section 24.

Description

  The present invention relates to an air conditioner equipped with a mechanism for detecting a person using an infrared sensor.

  2. Description of the Related Art Conventionally, there is an air conditioner that detects whether a person exists in an air-conditioning target area or in which part of the air-conditioning target area, and performs air-conditioning control based on the person detection result.

  The human detection mechanism provided in such an air conditioner mainly measures the radiation temperature with an infrared sensor, detects a point showing a radiation temperature higher than the ambient temperature such as the floor, and a human exists at that point. It is comprised so that it may be judged.

  By the way, the radiation temperature measured by the infrared sensor is output in an averaged form of the radiant heat of the objects existing in the detection grid, so that the size of the detection grid is widened, that is, the infrared with low spatial resolution. If a sensor is used, it will be difficult to find the characteristic points of a radiator such as a human.

  Therefore, as shown in Patent Document 1, when human detection is performed using an infrared sensor with low spatial resolution, the size of the detection grid of the infrared sensor is set smaller than that of a human, and the measurement direction is appropriately set by a motor. It changes and it is comprised so that the position of the detection grid in an air-conditioning object area | region may be scanned. In this way, human detection can be performed even using a low spatial resolution infrared sensor.

  However, if the detection grid of the infrared sensor is scanned in the air-conditioning target area in this way, after measuring the radiation temperature at a certain point, until all the other points are measured, There is a waiting time until the measurement at the point ends. In other words, in the method as disclosed in Patent Document 1, although the spatial resolution can obtain the accuracy necessary for human detection, the temporal resolution is lowered.

  Therefore, in the air conditioner disclosed in Patent Document 1, since the spatial resolution is high, a person who does not move can be extracted accurately, but the temporal resolution is low, so the extracted human movement amount and work amount Etc. are difficult to calculate accurately.

  Further, as shown in Patent Document 2, a high-resolution infrared sensor is used which has a spatial resolution such that a plurality of detection grids are set with respect to the size of the human body and can simultaneously image the entire air-conditioning target area. In some cases, the time resolution is also improved. However, since such a high-resolution infrared sensor is very expensive, it is difficult to adopt it for home appliances such as an air conditioner due to the problem of manufacturing cost.

  However, if an inexpensive low-pixel infrared sensor is simply used, the detection grid is set to be large relative to the human body, making it difficult to detect whether there is a person in the detection grid. Specifically, when the ratio of the human body in the detection grid is about 1/8, if a normal background temperature is 25 ° C., there is one person having a body temperature of 36 ° C. in one detection grid. However, the detected average radiation temperature is 36 × 1/8 + 25 × 7 / 8≈26.4 ° C., and it appears only as a very small change in radiation temperature, making it difficult for humans to extract. End up.

  Moreover, in the air conditioning apparatus described in each patent document, consideration is given only to extracting a place where a person is present, and no consideration is given to other heating elements and low temperature bodies. For example, if too much wind is applied directly to a person's place, the person may feel a draft and feel uncomfortable. That is, it is not possible to improve comfort by giving priority to a low-temperature body or the like rather than simply directing a person directly on the wind.

Japanese translation of PCT publication No. 2008-029679 Japanese Patent No. 3216280

  Therefore, the present invention has been made in view of the above-described problems, and provides an air conditioner that can perform air conditioning more comfortably than conventional based on the output of radiation temperature from an infrared sensor. Objective.

  That is, the air conditioning apparatus of the present invention has an infrared sensor in which each detection grid, which is a range for detecting a radiation temperature, is set by dividing an air-conditioning target area into a matrix, and a radiation temperature output from the infrared sensor is predetermined. A feature amount extraction unit that extracts a presence detection grid or a detection grid in which a low-temperature floor exists, based on whether or not the threshold temperature is higher than the threshold temperature of the feature amount extraction unit, And an air conditioning control unit that controls an air conditioning parameter that affects the thermal sensation of a person based on the extraction result of a human or a low-temperature floor.

  If it is such, based on the output of the radiation temperature of the infrared sensor, the feature quantity extraction unit is configured to extract not only a detection grid where a human exists but also a detection grid where a low-temperature floor exists. Therefore, for example, when there is a low-temperature floor, the comfort can be further enhanced by heating the detection grid with priority, compared with the case where hot air is directly applied to a person.

  That is, the air conditioning control unit is more comfortable based on the radiation temperature at each detection grid measured by the infrared sensor, the information extracted by the person extracted by the feature amount extraction unit, or the detection grid where the low temperature floor exists. Air conditioning control can be realized.

  In order to not only improve comfort by the air conditioning control unit, but also to reduce wasteful power consumption, when the feature amount extraction unit has not been able to extract a detection grid in which humans exist, The said air-conditioning control part should just be comprised so that the capability of an air conditioning may be reduced.

  In order to enable more comfortable air conditioning in consideration of the influence of heat radiation in the air conditioning target area, the average radiation of the air conditioning target area is based on the radiation temperature of each detection grid output from the infrared sensor. What is necessary is just to further provide the average radiation temperature calculation part which calculates temperature, and the said air-conditioning control part controls the said air-conditioning parameter based on the said average radiation temperature.

  In order to be able to accurately estimate the average radiation temperature even when a human is present, the average radiation temperature calculation unit is configured to detect a detection grid around the detection grid where the feature amount extraction unit has detected the presence of a human. What is necessary is just to calculate the average radiation temperature of the said air-conditioning object area | region based on radiation temperature.

  Specific examples of the air conditioning parameters that are particularly effective for improving the comfort of human beings in the air conditioning target area include those in which the air conditioning parameters include at least a set temperature, a wind direction, and a wind speed.

  In order to improve the comfort, the air conditioning can be strengthened or weakened according to the work done by human beings in the air conditioning target area, that is, the amount of heat generated. The infrared sensor is configured to simultaneously output the radiation temperature of each detection grid every predetermined period, and based on the temporal change of the detection grid where a human exists extracted by the feature amount extraction unit, What is necessary is just to further provide the work calculation part which calculates work, and the said air-conditioning control part controls the said air-conditioning parameter based on the said work.

  For example, in order to improve the comfort by predicting the next action of a person in the air-conditioning target area and performing the air-conditioning according to the predicted action, the time of the detection grid in which the person exists extracted by the feature amount extraction unit A movement direction estimation unit that estimates a movement direction and a movement amount of the person based on a change in the environment, and the air conditioning control unit is configured to perform air conditioning control of the movement destination of the person in advance. I just need it.

  In order to improve not only the temperature but also the humidity to be controlled, and further improving the comfort, the apparatus further includes a humidity sensor that measures the humidity of the air-conditioning target area, and the humidity measured by the humidity sensor is the humidity sensor. As long as it is configured to perform air conditioning control based on the above.

  In order to control the air conditioning according to the amount of human clothes existing in the air conditioning target area and improve comfort and economy, the clothing amount estimation unit that estimates the amount of human clothes based on the season, outside temperature, and room temperature And the air-conditioning control unit may perform air-conditioning control based on the estimated clothing amount.

  In order to easily perform comprehensive air conditioning control based on a plurality of air conditioning parameters, the air conditioning control unit may be configured to perform air conditioning control based on PMV or SET *.

  For PMV, in order not to perform fixed air conditioning control with predetermined parameters but to reflect the actual state and feed back to the air conditioning control, the PMV is configured with the infrared sensor and the humidity sensor. What is necessary is just to be calculated based on the measured value by.

  Even when using a low-pixel infrared sensor in which the size of the detection grid is set to at least the size of a person, a human or a slight change in radiation temperature caused by the presence of a low-temperature floor is captured, In order for the feature quantity extraction unit to be able to extract as a human, the size of the detection grid of the infrared sensor is set to at least the size of the human body, and the radiation of each detection grid output from the infrared sensor. A temperature interpolation is further performed for the temperature based on the radiation temperature of the detection grid adjacent to its own detection grid, and the post-emphasis radiation temperature is output, and the feature amount extraction unit is based on the post-emphasis radiation temperature. What is necessary is just what was comprised so that the extraction of a human or a low-temperature bed might be performed.

  In addition, if it is such, human extraction can be performed even with a low pixel, so radiation temperature is constantly monitored over the entire area to be air-conditioned without scanning the infrared sensor. be able to. Therefore, the measurement time resolution of the radiation temperature detected by the infrared sensor can be made sufficiently high. For example, it is possible to accurately estimate the moving direction and work amount of a person.

  In order to enable human extraction by the feature amount extraction unit with higher accuracy, linear interpolation is performed on the radiation temperature in each detection grid output from the infrared sensor, and each interpolation grid set between the detection grids The linear interpolation unit for calculating the radiation temperature of the interpolation grid may be further included, and the enhancement interpolation unit may be configured to perform enhancement interpolation based on the radiation temperature of the interpolation grid adjacent to the detection grid.

  As described above, according to the air conditioning apparatus of the present invention, not only a human but also a low temperature floor is extracted based on the radiation temperature output from the infrared sensor, so that it is possible to realize air conditioning that is more comfortable than before. Become. In addition, while using a low-pixel infrared sensor, it is possible to accurately extract the human presence grid in the air-conditioning target area by enhanced interpolation, and based on this information, the air conditioning control is more comfortable and economical. It can be performed. In addition, since human extraction can be performed even in a low pixel state, it is possible to maintain a high temporal resolution, and the radiation temperature is constantly monitored over the entire area to be air-conditioned, and the direction of human movement And the amount of work can be estimated.

The schematic diagram which shows the air conditioning apparatus which concerns on one Embodiment of this invention. The functional block diagram which shows the structure of the control apparatus in the embodiment. The flowchart which shows the extraction operation | movement of the human position in the embodiment. An example of the radiation temperature matrix output from the infrared sensor in the embodiment. An example of the radiation temperature matrix after linear interpolation output from the linear interpolation part in the embodiment. An example of the post-emphasis radiation temperature matrix output from the emphasis interpolation part in the embodiment. The example which expanded a part of post-emphasis radiation temperature matrix which shows the detail of the calculation in the emphasis interpolation part in the embodiment. The flowchart which shows the operation | movement regarding the tracking of the locus | trajectory of the high temperature object and low temperature object in the embodiment. The flowchart which shows the operation | movement regarding determination of the person / thing of the feature-value extraction part in the embodiment. The schematic diagram which shows the example of a setting of the detection grid of the infrared sensor in the embodiment. The flowchart which shows operation | movement of the air-conditioning control part at the time of the heating in the same embodiment. The flowchart which shows operation | movement of the air-conditioning control part at the time of air_conditioning | cooling in the same embodiment. An example of the average radiation temperature calculation method of the average radiation temperature calculation part in other embodiment. Another example of the average radiation temperature calculation method of the average radiation temperature calculation part in other embodiment. The another example of the average radiation temperature calculation method of the average radiation temperature calculation part in other embodiment. The modification of the average radiation temperature calculation method of the average radiation temperature calculation part in other embodiment.

  FIG. 1 shows an air conditioner 100 that is a refrigeration cycle apparatus according to the present embodiment, and a control device 200 used in the air conditioner.

  As shown in FIG. 1, the air conditioner 100 basically includes a compressor 11, a heat exchanger (condenser) 12, an expansion valve 13, and a heat exchanger (evaporator) 14 in this order. It is configured to operate a refrigeration cycle by connecting and circulating a refrigerant inside. In FIG. 1, reference numeral 15 selectively changes the heat exchangers 12 and 14 disposed in the indoor unit 101 and the outdoor unit 102 to either the condenser or the evaporator by changing the flow of the refrigerant, This is a four-way valve that switches between indoor heating and cooling. Note that the air conditioner 100 of the present embodiment has a plurality of indoor units 101 connected to a single outdoor unit 102 called a building multi-type, but in FIG. Is described as a representative.

  The indoor unit 101 of the air conditioner 100 is provided with an infrared sensor 31 such as a thermopile array (not shown), a temperature sensor 32 for measuring room temperature, a humidity sensor 33 for measuring indoor humidity, and the like. The data from each sensor is transmitted to the control device 200 described later and used for air conditioning control.

  The control device 200 is a so-called computer having a CPU, a memory, an I / O channel, an output device such as a display, an input device such as a keyboard, an AD converter, and the like, according to a failure diagnosis program stored in the memory. By operating the peripheral device, as shown in FIG. 2, at least a linear interpolation unit 21, an enhancement interpolation unit 22, a feature amount extraction unit 23, a work amount calculation unit 25, an average radiation temperature calculation unit 24, and a clothing amount estimation. The function as the part 26, PMV calculation part 27, and the air-conditioning control part 28 is exhibited.

  The control device 200 performs air-conditioning control based on information on where humans exist in the air-conditioning target area and the PMV calculated based on actually measured values other than the amount of clothes by cooperating with each of these units. The purpose is to improve.

  Each part will be described.

  The infrared sensor 31 is a thermopile array in which thermopile is arranged in an 8 × 8 grid, and is divided into 8 × 8 within an air-conditioning target area, and is configured to be able to output a radiation temperature for each division. More specifically, each detection grid that is a range for detecting the radiation temperature of the infrared sensor 31 is set by dividing the air-conditioning target region into a matrix, and the size of the detection grid is at least the size of the human body. It is set to. In other words, the spatial resolution of the infrared sensor 31 is low, and the output from the infrared sensor 31 itself may not identify a high-temperature moving object such as a human. For this reason, the position of the person can be specified by making the human position stand out by the action of the linear interpolation unit 21 and the enhancement interpolation unit 22.

  Hereinafter, the configuration and operation for calculating the post-emphasis radiation temperature by using the linear interpolation unit 21 and the enhancement interpolation unit 22 for the radiation temperature output from the infrared sensor 31 will be described. As shown in the flowchart of FIG. 3, when a thermal image of 8 × 8 pixels is acquired by the infrared sensor 31 and extraction of feature points is started (step S11), the linear interpolation unit 21 linearly converts the thermal image. A thermal image of 22 × 22 pixels is converted by interpolation (step S12). Further, the enhancement interpolation unit 22 converts the image from 22 × 22 pixels to 42 × 42 pixels by enhancement interpolation (step S13). Finally, the feature amount extraction unit 23 acquires the maximum temperature, the minimum temperature, and the actually measured temperature from the interpolation pixels in one pixel area corresponding to the original pixel of the thermal image captured by the infrared sensor 31 (step S14). The detection grid that is at a low temperature is extracted (step S15).

  Detailed configurations of the following linear interpolation unit 21, enhancement interpolation unit 22, and feature amount extraction unit 23 will be described with reference to FIGS. 4, 5, and 6. FIG. Although the radiation temperature matrix actually measured in this embodiment is 8 × 8, in FIGS. 4, 5, and 6, for convenience of explanation, the radiation temperature matrix from 8 × 8 to 3 × 3 is used. As an example, it is taken out. That is, when the row number of the detection grid is n and the column number is m, the grid in the range of Gnm (1 ≦ n ≦ 3, 1 ≦ m ≦ 3) is extracted and described.

  FIG. 4 shows the measured radiation temperature in each detection grid obtained by dividing the air-conditioning target area measured by the infrared sensor 31 into a 3 × 3 matrix. In this example, a person is present in the center of the detection grid, and the ambient radiation temperature of the floor, the wall surface, and the like is 25 ° C., and the temperature rises slightly to 26.4. Thus, even if there is a person at the center, the amount of increase is very small compared to the human body temperature of 36 ° C. or the like because of the low-pixel infrared sensor 31. For this reason, it is difficult to distinguish from heat sources other than humans and other measurement errors.

  When the linear interpolation unit 21 obtains a matrix of radiation temperatures in each detection grid output from the infrared sensor 31, linear interpolation is performed on each detection grid as shown in FIG. 5, and two interpolation grids are inserted. It is constituted as follows. In FIG. 5, the grid that is hatched with a diagonal line in the lower right direction is the original detection grid, and the interpolation grid into which the white grid is inserted. That is, in the embodiment, the 8 × 8 radiation temperature matrix is expanded to a 22 × 22 post-linear interpolation radiation temperature matrix.

  Next, the enhancement interpolation unit 22 performs enhancement interpolation on the radiation temperature of each detection grid output from the infrared sensor 31 based on the radiation temperature of the detection grid adjacent to its own detection grid, and the post-emphasis radiation temperature Is output. More specifically, the enhancement interpolation unit 22 performs enhancement interpolation on the post-linear interpolation radiation temperature matrix shown in FIG. 5, calculates post-enhancement radiation temperature, and includes the post-enhancement radiation temperature as shown in FIG. A matrix is generated. Note that the grid shown by hatching with diagonal lines in the lower left direction in FIG. 6 is a new grid added by enhancement interpolation. The calculation method of the radiation temperature in the grid will be described in detail. Calculations such as multiplying the radiation temperature of the adjacent grid by a predetermined value and subtracting the radiation temperature of the grid one distance away from the adjacent grid are performed. This calculation method is merely an example, and in short, the radiation temperature of the grid on the extension may be estimated based on the change rate (gradient) of the radiation temperature in the neighboring grid.

  The feature quantity extraction unit 23 extracts a human position based on the post-emphasis radiation temperature matrix created by the enhancement interpolation unit 22. More specifically, the feature amount extraction unit 23 is a detection grid in which a human exists based on whether the post-emphasis radiation temperature output from the enhancement interpolation unit 22 is higher than a predetermined threshold temperature. The existence grid is extracted. In the present embodiment, the threshold temperature is set to a temperature 2 ° C. higher than the floor surface average temperature measured by the infrared sensor 31. That is, in FIG. 6, the average floor surface temperature is about 25 ° C., so that the feature amount extraction unit 23 can detect that a person is present in the circled region, that is, the central grid. Here, the reason why the threshold temperature is a temperature 2 ° C. higher than the floor surface average temperature is 1.4 when a human whose room temperature is 25 ° C. and body temperature is 36 ° C. occupies 1/8 of the detection grid. This is set in consideration of a temperature rise of about ℃ and a fluctuation of about 0.5 ℃ due to thermal fluctuation. You may change this 2 degreeC value according to a use environment. Note that the feature amount extraction unit 23 is configured not only to search for the highest temperature grid but also for the lowest temperature grid. Used in the control unit 28.

  When the operations of the linear interpolation unit 21 and the enhancement interpolation unit 22 are performed using a thermal image of 8 × 8 pixels as in the present embodiment, the enhancement interpolation is performed by performing calculations in each grid shown in FIG.

  Hereinafter, a more specific human extraction operation of the feature amount extraction unit 23 will be described with reference to a flowchart and the like.

  As shown in the flowchart of FIG. 8, the feature amount extraction unit 23 determines whether or not a person is present in the air-conditioning target area, or where the person is present in the room. Done based on cold spot tracking.

  When the extraction of the locus of the high temperature point is started by the feature amount extraction unit 23 (step S21), the detection of the high temperature object 2 ° C. higher than the room temperature is first performed by the method described above, and all the detected high temperature points are tracked. Is started (step S22). If two high-temperature trajectories merge, the handling and tracking is continued as one high-temperature point trajectory (step S23). Further, when one high temperature locus is separated into two or more, each locus is traced (step S24). Finally, extraction of a high temperature locus is performed (step S25).

  The tracking of the low temperature point is substantially the same as the tracking of the locus of the high temperature point, and the tracking of the low temperature object 2 ° C. lower than the room temperature is performed as in steps S31 to S35 in FIG.

  Based on the tracking result of the locus of the high temperature object and the low temperature object, the feature amount extraction unit 23 distinguishes between a human and a stationary heat source such as a personal computer.

  Specifically, as shown in the flowchart of FIG. 9, when the feature amount extraction unit 23 starts to determine whether it is a human or a stationary object (step S41), for example, 3 hours have elapsed since a high temperature object was detected. In this case (step S42), if a high temperature trajectory is detected (step S43), it is determined that the high temperature object is a human (step S44). On the other hand, when the high temperature locus is not detected (step S43), it is determined that the object is a heat generating object such as a personal computer (step S45). When the determination for all the high-temperature points is completed, the determination of whether a person or a stationary object is completed (step S46).

  Next, each remaining part of the control device 200 will be described.

  The work amount calculation unit 25 calculates a human work amount based on a temporal change of the human existence grid extracted by the feature amount extraction unit 23. More specifically, the feature amount extraction unit 23 calculates a work amount based on a high temperature trajectory determined by a human among high temperature objects.

  The average radiation temperature calculation unit 24 calculates the average radiation temperature of the air conditioning target area based on the radiation temperature of each detection grid output from the infrared sensor 31. That is, the radiation temperature of all the detection grids is simply averaged.

  The clothing amount estimation unit 26 estimates the amount of human clothing based on the season, outside temperature, and room temperature acquired from the outside. For example, the relationship between the date, temperature, etc. and the amount of clothing is stored in a database in advance, and the amount of clothing is searched based on measurement data acquired from the outside.

  The PMV calculation unit 27 includes an average radiation temperature calculated by the average radiation temperature calculation unit 24, a room temperature measured by the temperature sensor 32, a relative humidity measured by the humidity sensor 33, and an air conditioning control unit 28 described later. Based on the set wind speed from the indoor unit 101, the amount of human work existing in the air conditioning target area calculated by the work amount calculation unit 25, and the amount of clothes estimated by the clothes amount estimation unit 26 PMV is calculated.

  The air conditioning control unit 28 controls the air conditioning parameters so that the deviation between the current PMV calculated by the PMV calculation and a predetermined target PMV becomes small. Here, the air conditioning parameters are, for example, wind direction, wind speed, room temperature, humidity, and the like. For example, the air conditioning control unit 28 sets the target PMV to +0.5 during cooling and -0.5 during heating, and performs air conditioning control so that the measured PMV value becomes this value.

  Regarding the air conditioner 100 of the present embodiment configured as described above, the operation of air conditioning control in the case of a 4-way cassette in which the four blowing directions from the indoor unit 101 are arranged 90 degrees apart will be described. In addition, the indoor unit 101 is provided in the nearest area of FIG. 10, and the detection grid of the infrared sensor 31 is set over the entire area to be air-conditioned as illustrated. Note that the size of the detection grid increases as it goes from the nearest area to the farthest area because it reflects the projected area of the detection grid on the floor surface.

  First, control during heating will be described with reference to the flowchart of FIG.

  When the room temperature measured by the temperature sensor 32 at the time of startup is less than 15 ° C. or lower than the set temperature by 3 ° C. or more (step SS1), the feature amount extraction unit 23 is a human. (Step SS2), and when the person is extracted, the air-conditioning control unit 28 controls the air direction so that the medium-speed hot air directly hits the person extracted by the feature amount extraction unit 23 (step SS2). SS3). In this way, the perceived temperature is raised by applying medium-speed warm air directly to the extracted person. Here, if no person is detected by the feature quantity extraction unit 23, the air conditioning control unit 28 blows the swing hot air toward the entire air conditioning target area (step SS4).

  In addition, when the temperature measured by the temperature sensor 32 at the time of activation is 15 ° C. or more or less than a set temperature that is set and the difference is less than 3 ° C., the feature amount extraction unit 23 A determination is made as to whether there is a detection grid with an extracted cold object, i.e., a cold floor (a floor with a minimum estimated temperature of 15 ° C. or less, or a floor estimated to be 3 ° C. or more cooler than room temperature) ( Step SS5). Further, the feature amount extraction unit 23 determines whether or not a person is present on the detection grid where the low temperature floor exists (step SS6). When there is no person on the detection grid with the low temperature floor, the air conditioning control unit 28 controls the air direction so as to send the medium-speed hot air toward the detection grid with the low temperature floor (step SS7). If a human is in the same location as the detection grid with the cold floor, it is determined whether there is a human in the detection grid close to that location (step SS8). The air conditioning control unit 28 controls the air direction so as to blow medium-speed hot air (step SS9). When humans are detected in all the detection grids, the swing operation is performed with the low-speed warm air (step SS10).

  As described above, the air conditioning control unit 28 performs control based on the human detection result by the feature amount extraction unit 23, so that comfortable heating can be performed without feeling a draft feeling due to direct wind.

  Next, the operation of the air conditioning control unit 28 during cooling will be described with reference to the flowchart of FIG.

  First, it is determined whether the room temperature measured by the temperature sensor 32 at startup is 29 ° C. or higher (or is a value higher by 1 ° C. or higher than the set temperature) (step ST1). When the room temperature is 29 ° C. or higher and a person is detected by the feature amount extraction unit 23 (step ST2), the air conditioning control unit sets the wind direction and temperature so that the medium-speed cold wind directly hits the person. 28 performs control (step ST3). When no one is detected, the swing cool air is blown toward the whole (step ST4). When the room temperature is less than 29 ° C. and a person is detected (step ST5), a low-speed cold wind is blown to prevent the person from feeling cold (step ST6). If the room temperature is less than 29 ° C. and no one is detected, the louver is closed to stop the blowing and the mode is shifted to the energy saving operation mode (step ST7).

  As described above, according to the air conditioning apparatus 100 of the present embodiment, it is possible to accurately detect in which detection grid a human is present by means of enhancement interpolation while using the low-pixel infrared sensor 31. Therefore, the air conditioning control can be performed without giving unpleasant feeling as described above according to the place of the person in the air conditioning target area. The air-conditioning control unit 28 performs air-conditioning control based on PMV. In this embodiment, since all parameters other than the clothing amount are actually measured values, a very accurate current PMV is calculated. It is easy to make air conditioning comfortable for many people.

  Other embodiments will be described.

  In the above embodiment, the average radiation temperature calculation unit calculates the average radiation temperature using the data of all the detection grids, but a method for calculating a more accurate radiation temperature will be described in detail below.

  For example, the accuracy can be further improved by calculating the average radiation temperature in consideration of a state where a high-temperature object such as a human is present in the air-conditioning target area. More specifically, the average radiation temperature may be calculated based on the radiation temperature other than the grid where the human is detected, or the influence of the radiation temperature of the grid where the human body was detected in the calculation may be deleted. What is necessary is just to calculate according to each method of the flowchart described in either of FIG. 13 thru | or FIG. 16 about such a calculation method.

  The air conditioning control unit may perform air conditioning control based on not only PMV but also SET *. In some cases, the human position may be extracted by only the enhanced interpolation without providing the linear interpolation unit.

  In addition, various modifications and combinations of embodiments may be performed without departing from the spirit of the present invention.

DESCRIPTION OF SYMBOLS 100 ... Air conditioning apparatus 21 ... Linear interpolation part 22 ... Emphasis interpolation part 23 ... Feature amount extraction part 24 ... Average radiation temperature calculation part 25 ... Work amount calculation part 26 ... Clothing amount estimation unit 27 ... PMV calculation unit 28 ... Air conditioning control unit 31 ... Infrared sensor 32 ... Temperature sensor 33 ... Humidity sensor

Claims (13)

An infrared sensor in which each detection grid that is a range for detecting a radiation temperature is set by dividing an air-conditioning target area into a matrix,
Based on whether or not the radiation temperature output from the infrared sensor is higher than a predetermined threshold temperature, a feature grid extracting unit that extracts a detection grid where a human is present or a detection grid where a low-temperature floor is present;
An air-conditioning apparatus comprising: an air-conditioning control unit that controls an air-conditioning parameter that affects a person's thermal sensation based on a human or a low-temperature floor extraction result of the feature amount extraction unit.   The air conditioning apparatus according to claim 1, wherein the air conditioning control unit is configured to reduce the air conditioning capability when the feature amount extracting unit cannot extract a detection grid in which a human is present. Based on the radiation temperature output from the infrared sensor, further comprising an average radiation temperature calculation unit for calculating an average radiation temperature of the air conditioning target area,
The air conditioning apparatus according to claim 1, wherein the air conditioning control unit controls the air conditioning parameter based on the average radiation temperature.   The average radiant temperature calculation unit calculates the average radiant temperature of the air-conditioning target region based on a radiant temperature of a detection grid around the detection grid where the feature amount extraction unit has detected human presence. Air conditioner.   The air conditioning apparatus according to any one of claims 1 to 4, wherein the air conditioning parameter includes at least a set temperature, a wind direction, and a wind speed. The infrared sensor is configured to simultaneously output the radiation temperature of each detection grid every predetermined period,
A work amount calculating unit for calculating a human work amount based on a temporal change of a detection grid in which a human exists extracted by the feature amount extracting unit;
The air conditioning apparatus according to claim 1, wherein the air conditioning control unit controls the air conditioning parameter based on the work amount. A moving direction estimating unit that estimates a moving direction of the human based on a temporal change of a detection grid where the human exists, which is extracted by the feature amount extracting unit;
The air conditioning apparatus according to any one of claims 1 to 6, wherein the air conditioning control unit is configured to perform air conditioning control of the human destination in advance. A humidity sensor for measuring the humidity of the air-conditioning target area;
The air conditioning apparatus according to any one of claims 1 to 7, wherein the air conditioning control unit is configured to perform air conditioning control based on humidity measured by the humidity sensor. It further includes a clothing amount estimation unit that estimates the amount of human clothing based on the season, outside temperature, and room temperature,
The air conditioning apparatus according to any one of claims 1 to 8, wherein the air conditioning control unit performs air conditioning control based on the estimated clothing amount.   The air conditioning apparatus according to any one of claims 1 to 9, wherein the air conditioning control unit is configured to perform air conditioning control based on PMV or SET *.   The air conditioning apparatus according to claim 10, wherein the PMV is calculated based on a measurement value obtained by the infrared sensor and the humidity sensor. The size of the detection grid of the infrared sensor is set to at least the size of the human body,
For the radiation temperature of each detection grid output from the infrared sensor, the interpolation is performed based on the radiation temperature of the detection grid adjacent to its own detection grid, and further includes an enhancement interpolation unit that outputs the radiation temperature after enhancement,
The air conditioner according to any one of claims 1 to 11, wherein the feature amount extraction unit is configured to extract a human or a low-temperature floor based on the post-emphasis radiation temperature. For the radiation temperature in each detection grid output from the infrared sensor, linear interpolation is performed, and further includes a linear interpolation unit that calculates the radiation temperature for each interpolation grid set between the detection grids,
The air conditioning apparatus according to claim 12, wherein the enhancement interpolation unit is configured to perform enhancement interpolation based on a radiation temperature of an interpolation grid adjacent to the detection grid.