Source: https://patents.google.com/patent/JP5423623B2/en
Timestamp: 2020-04-09 15:14:49
Document Index: 515851095

Matched Legal Cases: ['art 1', 'art 2', 'art 3', 'art 2', 'art 3', 'art 2']

JP5423623B2 - Air conditioning control device and human detection group management method for air conditioning control device - Google Patents
Air conditioning control device and human detection group management method for air conditioning control device Download PDF
JP5423623B2
JP5423623B2 JP2010199816A JP2010199816A JP5423623B2 JP 5423623 B2 JP5423623 B2 JP 5423623B2 JP 2010199816 A JP2010199816 A JP 2010199816A JP 2010199816 A JP2010199816 A JP 2010199816A JP 5423623 B2 JP5423623 B2 JP 5423623B2
JP2010199816A
JP2012057840A (en
隆之 浦川
2010-09-07 Application filed by 株式会社デンソーウェーブ filed Critical 株式会社デンソーウェーブ
2010-09-07 Priority to JP2010199816A priority Critical patent/JP5423623B2/en
2012-03-22 Publication of JP2012057840A publication Critical patent/JP2012057840A/en
2014-02-19 Publication of JP5423623B2 publication Critical patent/JP5423623B2/en
The present invention relates to an air conditioning control device that detects the position of a person according to temperatures detected by a plurality of temperature sensors arranged indoors, and controls the air-conditioning equipment based on the position of the person. The present invention relates to a detection group management method.
In recent years, control of air-conditioning equipment has been required to provide higher comfort. The position of a person in the room is detected by a sensor, and hot air or cold air is sent to the position of the person. Things have been done. In order to perform such control, it is necessary to detect the position of a person in the room with high accuracy. For example, Patent Document 1 discloses that an infrared sensor is reciprocated by a stepping motor and a change in the amount of infrared radiation emitted by a human body is detected by scanning an infrared detection region, and the output state of the infrared sensor over a plurality of scanning periods; A technique for detecting the position of a person based on a change in a voltage signal is disclosed.
JP-A-8-271645
However, if the temperature information is acquired by reciprocating the infrared sensor, a gap between the previous acquisition timing and the current acquisition timing is left by the scanning period, which is inaccurate. In addition, it is not clear whether the temperature change in the infrared detection area is caused by a person or whether it is caused by a disturbance such as sunlight inserted through a window in the room. It seems difficult to detect accurately.
In addition, in the case of so-called whole building air conditioning that controls air conditioning for a plurality of rooms in one building, conventionally, each room is simply heated and cooled by blowing hot air or cold air into each room. Therefore, the temperature of each room is detected by a fixed infrared sensor. However, even in such a whole building air conditioning, it is required to set a temperature slightly deviated from a comfortable temperature in a room where no people are present to suppress wasteful energy consumption. For this purpose, it is necessary to detect the presence or absence of a person in each room, and it is desirable to detect the presence or absence of a person using a temperature sensor that has been used conventionally without adding a sensor such as a person detection sensor.
The present invention has been made in view of the above circumstances, and an object of the present invention is to provide an air conditioning control device capable of accurately detecting the presence or absence of a person in a room with a simple configuration, and a human detection group management method for the air conditioning control device. It is to provide.
According to the air conditioning control device of claim 1, the significant temperature difference detection means is a temperature detected by a plurality of temperature sensors arranged to detect the temperature of each region obtained by dividing the indoor space in a line. Refer to the data every predetermined measurement period, find the difference between the temperature data measured last time and the temperature data measured this time for each temperature sensor, and calculate the significant temperature if the absolute value of the difference is more than the predetermined value. Detect as difference data. Then, the human detection group management means registers a human detection group (a group in which one or more people are assumed to exist) at the position of the temperature sensor where the sign of the significant temperature difference data is positive, and the sign of the significant temperature difference data is For a negative temperature sensor, the person detection group registered at the position of the temperature sensor is deleted.
That is, the significant temperature difference detection means detects that the temperature difference generated between the temperatures measured periodically has become a significant level, and the human detection group management means detects the sign of the significant temperature difference data. Register and delete human detection groups according to positive and negative. Therefore, the presence or absence of a person can be detected for each position of each temperature sensor using a temperature sensor conventionally used for temperature control. And, for example, when sunlight is inserted from a window depending on the direction of the room, even if the temperature of a part of the room rises due to the sunlight, the significant temperature difference detection means detects the temperature difference due to such temperature rise. Therefore, it is possible to accurately grasp the presence or absence of a person without being erroneously detected as being due to the presence of a person.
In addition , when the detection target selecting unit detects that the detected temperature of any four or more temperature sensors among the plurality of temperature sensors has risen beyond the error range from the respective steady temperature, the temperature sensor is selected. Select as the peak detection target sensor group. Then, the inclination calculation means has two detection temperatures for two sets of temperature sensors positioned at both ends of the peak detection target sensor group and temperature sensors positioned on the inner side of each of the peak detection target sensor groups. When the inclination shown with respect to the interval between the temperature sensors is calculated, the human position detecting means extends the temperature change straight line according to the calculated two temperature change inclinations, and the position where the straight lines intersect on the array is detected by the person. Detect as the position of.
For example, if the detected temperature of three temperature sensors rises beyond the error range due to a person entering the room, the peak of the detected temperature becomes the temperature sensor located in the center, so the position of the temperature sensor It can be detected as the position of a person. However, when the number of temperature sensors to be arranged is limited, the temperature sensors are arranged at a certain interval, and a person may be located between two temperature sensors. Therefore, it is desirable to be able to grasp the state. And when the detection temperature of four or more temperature sensors rises because a person entered, it is estimated that a person is located between any two temperature sensors as mentioned above. Therefore, with respect to the peak detection target sensor group selected by the detection target selection means, the slope calculation means calculates the slopes of the two temperature change lines from the detected temperatures of the two temperature sensors located at both ends of the sensor group. The position detecting means detects an intersection point obtained by extending two straight lines as a human position. This makes it possible to accurately detect the position of a person in the room by interpolating between the two temperature sensors by calculation without increasing the number of temperature sensors to be used and reducing the arrangement interval between them, resulting in an increase in cost. Can be suppressed.
The significant temperature difference detection means is assumed to be located when the virtual temperature sensor is located at the position of the person detected by the person position detection means, and the temperature value given at the intersection of the temperature change straight lines is detected by the corresponding virtual temperature sensor. temperature and with virtual detects a significant temperature difference data is also about the virtual temperature sensor, the human detecting group management unit, also treated similarly to the temperature sensor for a virtual temperature sensor, for registering and deleting human detecting group . Therefore, it is possible to specify a position where a person exists with a resolution higher than the actual number of temperature sensors. Therefore, in the case where the temperature sensors are arranged in a small number with respect to the size of the room, the person who has left (the sign of significant temperature difference data; negative occurrence) And a remaining person (corresponding to a state in which no significant temperature difference is detected) is not confused.
According to the air conditioning control device according to claim 2, gradient calculation unit, when the temperature sensor belongs to a peak detection target sensors is two, located one each outside of the two temperature sensors (i.e., A temperature sensor that does not belong to the peak detection target sensor group is selected, and the gradient of the temperature change is calculated for these two sets. That is, in the above case as well, it is estimated that a person is located between the two temperature sensors. In this case, exceptionally, in this case, the temperature sensors are located one outside from both ends of the peak detection target sensor group. To calculate the slope of the two temperature change lines. Thereby, the person position detecting means can detect the position of the person in the room with high accuracy as in the first aspect .
According to the air conditioning control device according to claim 3 , when there are two temperature sensors belonging to the peak detection target sensor group, and one of the two temperature sensors has a temperature sensor located outside. Otherwise, the inclination calculating means does not calculate the inclination of the temperature change, and the human position detecting means detects the sensor position with the higher detected temperature of the two temperature sensors as the human position. That is, when a person is located at both ends of a space where a plurality of temperature sensors monitor the temperature, one of the two temperature sensors belonging to the peak detection target sensor group is located one outside. There may be cases where there is no temperature sensor. In such a case, the sensor position with the higher detection temperature may be detected as the position of the person.
The figure which is a 1st Example and shows the state of the room | chamber interior where the sensor unit is arrange | positioned Air conditioning system block diagram Flow chart showing human detection group management processing Image diagram explaining management of human detection groups (part 1) Figure 4 equivalent (part 2) Figure 4 equivalent (part 3) The flowchart which is a 2nd Example and shows a person position detection process The figure which shows the temperature change pattern detected about each element according to a person's position (the 1) Figure 8 equivalent (part 2) Figure 8 equivalent (part 3) Flowchart for integrating the process shown in FIG. 3 and the process shown in FIG. Diagram explaining virtual elements The flowchart which shows the process which determines a person's position including a virtual element
The first embodiment will be described below with reference to FIGS. FIG. 2 is a block diagram of an air conditioning system, and FIG. 1 shows an arrangement state of temperature sensors in a room. In the air conditioning system 1, a sensor unit 3, an air conditioner (air conditioner) 4, and an outside air temperature sensor 5 are connected to a control unit (air conditioning control device, significant temperature difference detection means, human detection group management means) 2. . The control unit 2 may be configured by, for example, a microcomputer and may be incorporated in the air conditioner 4 to control the air conditioner 4 or may exist outside the air conditioner 4 and perform human detection processing described later. Only the result may be output to the air conditioner 4.
As shown in FIG. 1, the sensor unit 3 includes eight infrared sensors (temperature sensors) 3 (1) to 3 (8) arranged in a row in the horizontal direction on one wall surface in the room. Yes. These infrared sensors 3 (1) to 3 (8) detect infrared rays generated by the human body when a person is present in the room, and therefore are located at a position (for example, 40 cm) at a height of about several tens of cm from the floor surface. They are arranged at equal intervals. That is, since the sensor unit 3 is arranged to detect the position of a person, it is not assumed that the sensor unit 3 is arranged at a position where the height from the floor surface exceeds 2 m, for example. And the sensor signal which each infrared sensor 3 (1) -3 (8) detected is given to the control part 2. FIG.
The outside air temperature sensor 5 detects the temperature of the outside air and gives a sensor signal to the control unit 2. The air conditioner 4 exchanges heat with an outdoor unit (not shown), and blows hot air or cold air into the room or performs dehumidification. In that case, the air flow direction is controlled according to the detection signal output as a result of the control unit 2 detecting the position of the person. The switching between heating / cooling is performed based on the outside air temperature detected by the outside air temperature sensor 5.
Next, the operation of this embodiment will be described with reference to FIGS. FIG. 3 is a flowchart showing human detection group management processing performed by the control unit 2. 4 to 6 show various patterns for registering and deleting a human detection group according to a temperature change detected by each of the infrared sensors 3 (1) to 3 (8).
As shown in FIGS. 4 to 6, the spatial regions that are detected by the infrared sensors 3 (1) to 3 (8) are referred to as elements E (1) to E (8), respectively. The control unit 2, first, when sampling the temperature of each element E (1) ~E (8) ( step S1), the respective sampling result, the temperature T n of sampling time, and the temperature T n-1 which was previously sampled A temperature difference ΔT is obtained (step S2). The temperature sampling interval is about 1 second, for example.
Here, about the temperature difference (DELTA) T calculated | required by step S2, only the thing from which the value became more than predetermined value is made into the evaluation object of subsequent step S3-S5. That is, since the purpose is to detect the presence or absence of a person in the room, for example, assuming that the setting temperature of the entire building air conditioning is 27 ° C. and the human body temperature is 35 ° C., the temperature difference ΔT> 8 [° C.] It is evaluated whether the sign of the temperature difference ΔT is positive or negative with respect to the result (significant temperature difference data).
In step S3, as condition (1), for two adjacent elements, it is determined whether there is a pair in which one sign is positive and the other sign is negative. When such a pair exists (YES), it corresponds to the case shown in FIG. In FIG. 4, the sign of the temperature difference ΔT of the element E3 is positive, and the sign of the temperature difference ΔT of the element E4 is negative. In this case, a person detection group that is a group in which the presence of a person is detected is registered in the element E3 having a positive sign regardless of whether or not the person detection group has already been registered, and the person detection is performed from the element E4 having a negative sign. If the group has already been registered, it is deleted (step S6). That is, in this case, it is estimated that the person originally present at the position of the element E4 has moved to the position of the element E3.
If “NO” is determined in the step S3, or after the execution of the step S6, the process proceeds to the step S4. Here, it is determined whether or not there is an element in which the sign of the temperature difference ΔT is positive except for the case where the above condition (1) is satisfied. If such an element exists (YES), this corresponds to the case shown in FIG. In FIG. 5A, since the sign of the temperature difference ΔT of the element E1 becomes positive, a person detection group is newly registered in the element E1 (step S7). That is, in this case, it is estimated that a door is located in the vicinity of the element E1, and that a person has newly entered the position of the element E1, that is, that a person has newly entered a room that was unattended.
However, in this embodiment, the purpose is not to determine the type of the registered human detection group, so here, even if the human detection group is already registered in the element E1, it is not in the room. A person detection group is newly registered (updated) when a person newly enters the room.
If “NO” is determined in the step S4, or after the execution of the step S7, the process proceeds to the step S5. Here, it is determined whether or not there is an element in which the sign of the temperature difference ΔT is negative except for the case where the above condition (1) is satisfied. If such an element exists (YES), this corresponds to the case shown in FIG. In FIG. 5B, the human detection group is deleted from the element E1 because the sign of the temperature difference ΔT of the element E1 has become negative (step S8). That is, in this case, it is estimated that the person has moved from the position of the element E1, that is, that the person has left the room.
If the person moves from the state of FIG. 5A to the adjacent element E2 as shown in FIG. 5C, “YES” is determined in step S3, and the person detection from the element E1 in step 6 The deletion of the group and the registration of the human detection group for the element E2 are performed, which is the same as in FIG. Further, as shown in FIG. 6 (a), from the state in which the human detection group is registered in the element E7, the sign of the element E7 becomes negative as shown in FIG. Assume that the signs of E6 and E8 are both positive. Also in this case, “YES” is determined in the step S3, and the human detection group is deleted from the element E7 in step 6 and the human detection group is registered for the elements E6 and E8.
In the case of FIG. 6, it is presumed that initially there are two people in element E7, for example, one of them has moved to element E6 and the other has moved to element E8. In other words, it means that a group of people present in element E7 has split and moved to elements E6 and E8.
When the registration / deletion of the human detection group is performed as described above, the information is transmitted from the control unit 2 to the air conditioner 4. Based on the given information, the air conditioner 4 controls, for example, a room in which no human detection group is registered so that the set temperature is slightly raised from 27 ° C. In addition, when a person detection group is newly registered in the room from that state, the set temperature is returned to 27 ° C. again.
As described above, according to the present embodiment, the control unit 2 is detected by each of the regions obtained by dividing the indoor space in a row; the plurality of infrared sensors 3 arranged to detect the temperatures of the elements E1 to E8. the temperature data reference for each predetermined measurement period that is, obtains a difference ΔT between the temperature data T n measured current and temperature data T n-1 which is previously measured for each infrared sensor 3, the absolute of the difference ΔT A value that is equal to or greater than a predetermined value is detected as significant temperature difference data. Then, the human detection group is registered at a position corresponding to the infrared sensor 3 whose sign of the significant temperature difference data is positive, and the infrared sensor 3 whose sign of the significant temperature difference data is negative corresponds to the infrared sensor 3. The person detection group registered in the position was deleted.
Therefore, the presence or absence of a person can be detected for each position corresponding to each infrared sensor 3 by using the infrared sensor 3 conventionally used for temperature control. And, for example, when sunlight enters through a window depending on the direction of the room, even if the temperature of a part of the room rises due to the sunlight, the temperature difference due to such temperature rise is not considered as a significant level. Therefore, the presence or absence of a person can be accurately grasped without being erroneously detected as being caused by the presence of a person.
7 to 13 show a second embodiment. The same parts as those in the first embodiment are denoted by the same reference numerals, and the description thereof is omitted. Hereinafter, different parts will be described. When the number of infrared sensors 3 arranged in the room is limited, they are arranged with a certain interval, and it is assumed that a person is located between the two infrared sensors 3. Therefore, it is desirable that the state can be grasped. Therefore, in the second embodiment, the control unit 2 performs processing for detecting the position of the person in more detail beyond the resolution of the interval at which the infrared sensors 3 (1) to 3 (8) are arranged. FIG. 7 is a flowchart showing the human position detection process. 8 to 10 show various patterns in which the position of a person is detected according to the temperature change detected by each of the infrared sensors 3 (1) to 3 (8).
When the controller 2 first samples the temperatures of the elements E (1) to E (8) (step S11), for each sampling result, whether or not the difference between the temperature sampled this time and the steady temperature exceeds the error range. Is determined (step S12). If the error range is not exceeded (NO), the process returns to step S11 and sampling of the temperature is continued.
The “steady temperature” in step S12 means that the control unit 2 samples each element E (1) to E (8), for example, over the past 10 minutes (for example, the current sampling temperature is T ( n), the temperature is calculated as a moving average value of T (n−1) to T (nx) (see FIG. 8B).
In step S12, if there is at least one element whose temperature sampled this time has exceeded the temperature set as the error range (for example, 0.1 degree) from the steady temperature, it is determined as “YES”, and the element Is determined as “a peak detection target element (corresponding to a peak detection target sensor group in the case of two or more)” (step S13; detection target selection means). That is, when a person enters the room, the temperature detected by the infrared sensor 3 rapidly increases. Therefore, if “YES” is determined in step S12, it can be estimated that a person has entered the room. Further, in FIGS. 8 to 10, the element that has risen beyond the error range; the temperature of the infrared sensor 3 is referred to as an “abnormal value”.
In subsequent steps S14 to S16, the score of the peak detection target element is determined. If the number of the peak detection target element is one (step S14: YES), the position of the element is determined as the position of the person (step S23). The position of the element here is the center of the element and corresponds to the position of the infrared sensor 3 corresponding to the element. And "a person's position" is a position on the straight line in the left-right direction of the room front shown in FIG. 1 along the arrangement | sequence of the infrared sensors 3 (1) -3 (8). If the number of peak detection target elements is two (step S15: YES), it is further determined whether the two points are elements E1 and E2 or elements E7 and E8 (step S24). Here, if the two points are any of these combinations (YES), the position of the element having the higher detected temperature among the two points of the combination is determined as the position of the person (step S21). If the number of points of the peak detection target element is 3 (step S16: YES), the position of the element at the center among these 3 points is determined as the position of the person (step S20).
Reference is now made to FIGS. FIG. 8B shows a state where the temperatures of the elements E1 to E8 are at a steady temperature as described above. Since the left side in the figure is the north side and the right side in the figure is the south side, the temperature on the element (1) side is slightly lower due to the influence of sunlight, and the temperature on the element (8) side is slightly higher.
FIG. 8C shows a case where the peak detection target element has one point (step S23). 9A shows the case where the peak detection target elements are two points E1 and E2, and FIG. 9B shows the case where the peak detection target element is two points E7 and E8 (step S21). Corresponds to the state of being located toward the edge of the room. FIG. 10A corresponds to the case where the number of peak detection target elements is 3 (step S20). As described above, the point of the peak detection target element changes depending on where the person is located in the elements E1 to E8.
Then, as shown in FIGS. 8 (c), 9 (a), 9 (b), and 10 (a), the method is limited to a method for determining the position of a person when the peak detection target element is 1 to 3 points. Then, these have been performed conventionally.
Refer to FIG. 7 again. If the score of the peak detection target element is 4 or more, “NO” is determined in the step S16, and the process proceeds to the step S17. The processing performed in steps S17 and S18 in this case is shown in FIGS. 10B and 10C, where FIG. 10B shows the case of 4 points and FIG. 10C shows the case of 5 points. As shown in FIG. 10B, it is assumed that the four points are elements E4 to E7. At this time, of these four points, the temperature change gradients A and B sampled in step S11 are calculated for a set of E4 and E7 at both ends and E5 and E6 inside one of them (step S17; Slope calculation means). That is, the temperature change slope between E4 and E5 is A, and the temperature change slope between E7 and E6 is B.
Then, when straight lines (temperature change straight lines) LA and LB having respective inclinations are extended, a point C at which they intersect between E5 and E6 is calculated (step S18). Then, the position where the calculated intersection C is lowered on the axis where the elements E1 to E8 or the infrared sensors 3 (1) to 3 (8) are arranged is determined as the position of the person (step S19; person position detecting means).
That is, when the number of peak detection target elements shown in FIG. 10 (a) is 3 (E5, E6, E7), the temperature detected by the infrared sensor 3 for the element E6 at the center thereof increases most. Although the position of a person can be easily determined, when the number of peak detection target elements is 4, it is expected that a peak of detected temperature exists between the two elements E5 and E6 from the center. Therefore, as in steps S17 to S19, if the inclination of the temperature change is obtained for each set of elements E4 and E5, E7 and E6, and the position of the person is determined based on the intersection C obtained by extending the temperature change straight lines LA and LB, It can be determined by interpolating between the elements E5 and E6.
The case of 5 points shown in FIG. If the peak detection target element is E3 to E7, the temperature change gradients A and B sampled in step S1 are calculated for the pair of E3 and E7 at both ends and E4 and E6 inside each one, When the temperature change straight lines LA and LB having respective inclinations are extended, a point C at which they intersect between E4 and E6 is calculated on the axis, and the position of the intersection C on the axis is set as the position of the person.
FIG. 9C shows a case where there are two peak detection target elements and “NO” is determined in step S24. In this case, although the above two points are E6 and E7, the elements E5 and E8 located outside one of them are selected, and the temperature change gradients A and B are calculated. That is, the temperature change slope between E5 and E6 is A, and the temperature change slope between E8 and E7 is B. When the temperature change straight lines LA and LB are extended and the point C where E6 and E7 intersect is calculated (step S25; inclination calculation means), the calculated intersection C is lowered on the axis. Is determined as the position of the person (step S22; person position detecting means).
Next, FIG. 11 is a flowchart for performing processing by integrating the human detection group management processing in the first embodiment and the human position detection processing shown in FIG. That is, step S31 is the person position detection process (person position determination flow) shown in FIG. 7, and step S33 is the person detection group management process (person presence / absence detection flow) shown in FIG. Step S32 is a processing part (person position → element conversion flow) that becomes an interface for connecting both processes, and the processing contents are shown in FIGS.
In order to simplify the explanation, as shown in FIG. 12, when the position between the two elements E1 and E2 is equally divided into n, virtual elements E1- corresponding to the virtual infrared sensor are equally divided. 1, E1-2,..., E1-n are assumed to exist. The process of FIG. 13 will be described by taking as an example the case where the coordinate position h of the person determined in step S31 is between the elements E1 and E2. First, when the (one-dimensional) coordinate position of the element E1 is substituted for the pointer e0 and the coordinate position of the element E1-1 is substituted for the pointer e1 (step S41), the human coordinate position h becomes the coordinate position of the pointers e0 and e1. It is determined whether or not it is in between (step S42). If not (NO), the coordinate position of the pointer e1 is substituted for the pointer e0, and the coordinate position of the element (E1-2) next to the current e1 is substituted for the pointer e1 (step S43). ) Return to step S42.
On the other hand, if the human coordinate position h is between the coordinate positions of the pointers e0 and e1 in step S42 (YES), whether the human coordinate position h is close to the coordinate position of the pointer e0 between the pointers e0 and e1. It is determined whether or not (step S44). If the coordinate position h of the person is close to the coordinate position of the pointer e0 (YES), the coordinate position of the pointer e0 is set as a virtual element in which the person is detected (step S45), and the person position h is the coordinate position of the pointer e1. If it is close to (NO), the coordinate position of the pointer e1 is set as a virtual element in which a person is detected (step S46).
In FIG. 12, the coordinate position h of the person is between the virtual elements E1-2 and E1-3 and is closer to the virtual elements E1-2 and E1-3. The detected virtual element is used (an image similar to the quantization in A / D conversion).
When the virtual element as the coordinate position where the person exists is determined as described above, the human detection group management process is performed in step S33 for the position. In this case, as the virtual temperature detected in the virtual element, for example, as shown in FIG. 10B, a temperature corresponding to a point C where the temperature change straight lines LA and LB intersect is used. Using the virtual temperature, the human detection group is managed as in the first embodiment.
As described above, according to the second embodiment, the control unit 2 determines that the temperature detected by any four or more infrared sensors 3 among the infrared sensors 3 (1) to 3 (8) When it is detected that it has risen beyond the error range, those infrared sensors 3 are selected as a peak detection target sensor group. Then, on the array of the peak detection target sensor group, the two detection temperatures of the infrared sensor 3 positioned at both ends of the array and the infrared sensor 3 positioned on the inner side of each of the two infrared sensors 3 are detected. When the inclination shown with respect to the interval is calculated, the temperature change straight line according to the calculated two temperature change slopes is extended, and the position where the straight lines intersect on the array is detected as the position of the person.
That is, if the detection temperature of four or more infrared sensors 3 rises due to a person entering the room, it is estimated that a person is located between any two infrared sensors 3. Therefore, the peak detection target sensor For a group, the inclination of two temperature change lines is calculated from the detected temperatures of the two infrared sensors 3 positioned at both ends of the sensor group, and the intersection of the two lines is detected as a person's position. Even if the number of the infrared sensors 3 is not increased and the arrangement interval thereof is not narrowed, it is possible to interpolate between the two infrared sensors to accurately detect the position of a person in the room, and to suppress an increase in cost.
The control unit 2 assumes that the virtual infrared sensor is located at the position of the person detected as described above, and the temperature detected by the corresponding virtual infrared sensor is the temperature value given at the intersection of the temperature change straight lines. Assuming that significant temperature difference data is also detected for the virtual infrared sensor, the virtual element corresponding to the virtual infrared sensor is handled in the same manner as the infrared sensor 3 of the first embodiment, and registration and deletion of the human detection group are performed. I did it. Therefore, it becomes possible to specify the position where a person exists with a resolution higher than the actual number of infrared sensors 3, and in the case where the infrared sensors 3 are arranged in a small number with respect to the size of the room, they remain. Regardless of where the person is in the room, the person who left (sign of temperature difference ΔT; corresponding to negative occurrence) and the person who remains (corresponding to a state where no significant temperature difference is detected) are confused There is nothing.
In addition, when there are two infrared sensors 3 belonging to the peak detection target sensor group, the control unit 2 is located outside each of the two infrared sensors 3 (that is, does not belong to the peak detection target sensor group). ) Since the infrared sensor 3 is selected and the gradient of the temperature change is calculated for these two sets, exceptionally in this case, the infrared sensor 3 located one outside from both ends of the peak detection target sensor group is selected. Calculate the slope of the two temperature change lines. Thereby, the position of a person in the room can be detected with high accuracy in the same manner as described above.
Further, the control unit 2 has two infrared sensors 3 belonging to the peak detection target sensor group, and one of the two infrared sensors 3 does not have one infrared sensor 3 located outside. Does not calculate the slope of the temperature change, and detects the sensor position with the higher detection temperature of the two infrared sensors 3 as the position of the person. That is, when a person is located on both ends of the space where the temperature is monitored, one of the two infrared sensors 3 belonging to the peak detection target sensor group has an infrared sensor 3 positioned on the outside. Since the case where it does not exist may generate | occur | produce, in such a case, what is necessary is just to detect the position of the infrared sensor 3 with higher detection temperature as a person's position.
In the above embodiment, for example, as in the whole building air conditioning, the temperature of each room in the hall is basically about 28 ° C. when cooling and about 20 ° C. lower when heating. It is assumed that the temperature is maintained at a sufficiently lower temperature. Therefore, for example, even when the outside air temperature rises close to 40 ° C., the infrared sensor can detect a temperature rise when a person enters the room.
The number of temperature sensors may be 7 or less, or 9 or more.
The temperature sensor is not limited to an infrared sensor.
The temperature sampling interval is not limited to 1 second, and may be changed as appropriate according to the individual design. The same applies to the moving average period for obtaining the steady temperature.
The significant temperature difference need not be set to 8 ° C., and may be changed as appropriate.
Since the door of the room is not necessarily located at both ends of the temperature sensor array but at the center side, for example, only the sign of the significant temperature difference ΔT corresponding to the element E5 may be positively isolated (FIG. 6). Image similar to (a)). Therefore, a person detection group may be newly registered in such a case.
The temperature set as the “error range” may be changed and set as appropriate.
In the drawing, 2 is a control unit (air conditioning control device, significant temperature difference detection means, human detection group management means, detection target selection means, inclination calculation means, human position detection means), and 3 (1) to 3 (8) are infrared rays. Sensors (temperature sensors) and 4 indicate air conditioners (air conditioners).
In an air conditioning control device that detects the position of a person in the room according to temperatures detected by a plurality of temperature sensors arranged in the room, and controls air conditioning equipment based on the position of the person,
The plurality of temperature sensors are arranged so as to detect temperatures for respective regions obtained by dividing the indoor space into rows,
The temperature data detected by the plurality of temperature sensors is referred to every predetermined measurement cycle, the difference between the temperature data measured last time and the temperature data measured this time for each temperature sensor is obtained, and the absolute value of the difference is obtained. Significant temperature difference detection means for detecting as a significant temperature difference data that has become a predetermined value or more,
The person detection group is registered at the position of the temperature sensor where the sign of the significant temperature difference data is positive, and the temperature sensor whose sign of the significant temperature difference data is negative is registered at the position of the temperature sensor. A human detection group management means for deleting a detection group ;
The temperature data detected by the plurality of temperature sensors is referred to every predetermined measurement cycle, and any four or more temperatures are obtained from the respective steady temperatures obtained as the average of the ranges over the past predetermined time for each temperature sensor. When detecting that the temperature detected by the sensor has risen beyond the error range, detection target selection means for selecting those four or more temperature sensors as a peak detection target sensor group,
On the array of the peak detection target sensor group, with respect to two sets of temperature sensors located at both ends of the array and temperature sensors located inside each one, the detected temperature is set at an interval between the two temperature sensors. An inclination calculating means for calculating the inclination shown to the
A human position detecting means for extending a temperature change line according to the inclination of two temperature changes calculated by the inclination calculating means and detecting a position where the straight lines intersect on the array as a human position;
The significant temperature difference detecting means virtually assumes that the virtual temperature sensor is located at the position of the person detected by the person position detecting means, and the virtual temperature sensor corresponding to the temperature value given at the intersection of the temperature change straight lines By detecting the temperature detected by the above, the virtual temperature sensor also detects significant temperature difference data,
The human detection group management means handles the virtual temperature sensor in the same manner as the temperature sensor, and registers and deletes the human detection group .
When there are two temperature sensors belonging to the peak detection target sensor group, the inclination calculating unit selects a temperature sensor located on the outer side of each of the two temperature sensors, and the temperature of the two sets of the temperature sensors is selected. The air conditioning control device according to claim 1, wherein an inclination of change is calculated .
When there are two temperature sensors belonging to the peak detection target sensor group and there is no temperature sensor located outside one of the two temperature sensors,
The inclination calculation means does not calculate the inclination of the temperature change,
The air-conditioning control apparatus according to claim 2, wherein the human position detecting means detects a sensor position having a higher detected temperature of the two temperature sensors as a human position .
An air conditioning control device that detects the position of a person in the room according to temperatures detected by a plurality of temperature sensors arranged in the room and controls air conditioning equipment based on the position of the person manages the person detection group. In the method
The temperature data detected by the plurality of temperature sensors is referred to every predetermined measurement cycle, the difference between the temperature data measured last time and the temperature data measured this time for each temperature sensor is obtained, and the absolute value of the difference is obtained. Detects data that exceeds the specified value as significant temperature difference data,
The person detection group is registered at the position of the temperature sensor where the sign of the significant temperature difference data is positive, and the temperature sensor whose sign of the significant temperature difference data is negative is registered at the position of the temperature sensor. Delete the detection group
The temperature data detected by the plurality of temperature sensors is referred to every predetermined measurement cycle, and any four or more temperatures are obtained from the respective steady temperatures obtained as the average of the ranges over the past predetermined time for each temperature sensor. When it is detected that the temperature detected by the sensor has risen beyond the error range, these four or more temperature sensors are selected as the peak detection target sensor group,
On the array of the peak detection target sensor group, with respect to two sets of temperature sensors located at both ends of the array and temperature sensors located inside each one, the detected temperature is set at an interval between the two temperature sensors. For the slope shown
When the temperature change line according to the calculated two temperature change slopes is extended and the position where these lines intersect on the array is detected as the position of the person,
It is assumed that the virtual temperature sensor is located at the detected position of the person, and the virtual temperature sensor is assumed by assuming the temperature value given at the intersection of the temperature change straight lines as the temperature detected by the corresponding virtual temperature sensor. Detect significant temperature difference data for
The virtual Temperature sensors also treated similarly to the temperature sensor, human detection group management method of the air conditioner control apparatus which is characterized in that the registration and deletion of the person detection group.
When there are two temperature sensors belonging to the peak detection target sensor group, the temperature sensors located on the outer side of each of the two temperature sensors are selected, and the gradient of the temperature change is calculated for these two sets. The person detection group management method of the air-conditioning control apparatus according to claim 4 .
If there are two temperature sensors belonging to the peak detection target sensor group, and there is no temperature sensor located outside one of the two temperature sensors, the slope of the temperature change is calculated. Without
6. The human detection group management method for an air conditioning control device according to claim 5 , wherein a sensor position having a higher detection temperature of the two temperature sensors is detected as a human position .
JP2010199816A 2010-09-07 2010-09-07 Air conditioning control device and human detection group management method for air conditioning control device Active JP5423623B2 (en)
JP2010199816A JP5423623B2 (en) 2010-09-07 2010-09-07 Air conditioning control device and human detection group management method for air conditioning control device
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JP2010199816A Active JP5423623B2 (en) 2010-09-07 2010-09-07 Air conditioning control device and human detection group management method for air conditioning control device
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