JP2012042198A - Output control device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve control performance of output operation of air conditioners and illumination devices.SOLUTION: The air conditioners D_K(K: 1 to 6) and the illumination devices E_K generate outputs to measurement areas. When detecting one or two or more persons from the measurement areas, a CPU 14p determines optimum control models suitable for the air conditioners D_K and the illumination devices E_K on the basis of the descriptions in a control model history register 14r4. The CPU 14p also receives, through an input device 18, a user setting operation for changing the settings of the air conditioners D_K and the illumination devices E_K and determines the optimum control model according to the user setting operation. The CPU 14p controls the output operations of the air conditioners D_K and the illumination devices E_K on the basis of the optimum control model thus determined and updates the descriptions in the control model history register 14r4 in association with a model determination processing.

Description

  The present invention relates to an output control apparatus, and more particularly to an output control apparatus that detects a specific object existing in space and controls the output of the apparatus.

  An example of this type of device is disclosed in Patent Document 1. According to this background art, the VAV unit increases or decreases the conditioned air amount of the air conditioner in proportion to the indoor air conditioning load. The neural network unit constructs a PMV equation that reflects an individual's thermal feeling using the resident's thermal declaration value as a teacher signal, and controls the air conditioner and the VAV unit with the PMV value calculated from the PMV equation. The air conditioner is controlled following changes in the occupant's thermal feeling, thereby ensuring high amenity in the indoor environment.

JP-A-6-94292

  However, in the background art, the PMV equation constructed based on the resident's thermal declaration value is not reflected in the PMV equation construction process when there is no resident's thermal declaration. For this reason, in the background art, there is a limit to the control performance of the output operation of the apparatus.

  Therefore, a main object of the present invention is to provide an output control device capable of improving the control performance of the output operation of the device.

  The output control device according to the present invention comprises: detection means for detecting one or more specific objects from the space; an appropriate control model for the device that generates output toward the space based on the control model history information First determining means for executing a determining process in response to detection by the detecting means; receiving means for receiving a setting change operation for changing the setting of the apparatus in parallel with the detecting process of the detecting means; appropriate control of the apparatus according to the setting changing operation Second determining means for executing a process for determining a model instead of the determining process of the first determining means; an output operation of the apparatus based on an appropriate control model determined by each of the first determining means and the second determining means; Control means for controlling; and update means for updating the control model history information in relation to the decision processing of each of the first decision means and the second decision means.

  Preferably, the space is formed by a plurality of small spaces, and the first determining means, the receiving means, the second determining means, the control means, and the updating means execute processing corresponding to each of the plurality of small spaces.

  More preferably, the detection means searches for the specific object image from the object scene image output from the camera, and the specific object is located in any of the plurality of small spaces based on the specific object image found by the search means. A discrimination means for discriminating whether it belongs or not is included.

  More preferably, the camera has an imaging surface defined along the UV coordinate system, the space is partitioned by a plane defined along the XY coordinate system, and the discrimination means corresponds to the correspondence between the UV coordinate system and the XY coordinate system. Calculation means for calculating the XY coordinates of the specific object image with reference to calibration parameters indicating the relationship is included.

  Preferably, the apparatus includes an air conditioner, and the proper control model has at least one of temperature, humidity, and air volume as a parameter.

  Preferably, the device includes a lighting device, and the proper control model has brightness as a parameter.

  The output control device according to the present invention comprises: detection means for detecting one or more specific objects from the space; a control model in which an appropriate control model of the device that generates output toward the space is stored in a memory Determination means for executing processing to be determined based on the history information in response to detection by the detection means; Control means for controlling the output operation of the apparatus based on the appropriate control model determined by the determination means; Control stored in the memory First update means for updating the model history information in relation to the decision processing of the decision means; fetch means for fetching new control model history information from the outside; and control model history information stored in the memory is fetched by the fetch means Second update means for updating with control model history information.

  According to the present invention, the control model history information is updated with respect to the determination process of the appropriate control model in response to the detection of the specific object from the space, and related to the determination process of the appropriate control model in response to the setting change operation. Updated. Further, when a specific object is detected from the space, the appropriate control model is determined based on the control model history information. For this reason, the history regarding the appropriate control model determined according to the setting change operation is reflected in the determination process of the appropriate control model when the specific object is detected from the space. This improves the control performance of the output operation of the apparatus.

  According to this invention, the control model history information is updated with respect to the determination process of the appropriate control model in response to the detection of the specific object from the space, and is updated by the new control model history information taken from outside. Further, when a specific object is detected from the space, the appropriate control model is determined based on the control model history information. This improves the control performance of the output operation of the apparatus.

  The above object, other objects, features and advantages of the present invention will become more apparent from the following detailed description of embodiments with reference to the drawings.

(A) is a block diagram showing a basic configuration of one embodiment of the present invention, and (B) is a block diagram showing a basic configuration of another embodiment of the present invention. It is a block diagram which shows the structure of one Example of this invention. It is an illustration figure which shows an example of the installation state of the camera applied to the FIG. 2 Example, an air volume apparatus, and an illuminating device. It is an illustration figure which shows an example of the camera image displayed on the monitor of FIG. 2 Example. It is an illustration figure which shows an example of the map image displayed on the monitor of FIG. 2 Example. It is an illustration figure which shows an example of a structure of the area register applied to the FIG. 2 Example. FIG. 3 is an illustrative view showing one example of a configuration of a representative point register applied to the embodiment in FIG. 2; FIG. 3 is an illustrative view showing one example of a configuration of a control model history register applied to the embodiment in FIG. 2; (A) is an illustration figure which shows an example of the allocation state of the divided area on a map image, (B) is an illustration figure which shows an example of the allocation state of the measurement area on a camera image. It is an illustration figure which shows an example of a camera image. It is a graph which shows an example of the relationship between the temperature and time which define an optimal control model. It is a graph which shows an example of the relationship between the humidity and time which define an optimal control model. It is a graph which shows an example of the relationship between the air volume and time which define an optimal control model. It is a graph which shows an example of the relationship between the illumination intensity and time which define an optimal control model. It is a flowchart which shows a part of operation | movement of CPU applied to the FIG. 2 Example. It is a flowchart which shows a part of other operation | movement of CPU applied to the FIG. 2 Example. FIG. 11 is a flowchart showing still another portion of behavior of the CPU applied to the embodiment in FIG. 2; FIG. 10 is a flowchart showing yet another portion of behavior of the CPU applied to the embodiment in FIG. 2; It is a flowchart which shows a part of other operation | movement of CPU applied to the FIG. 2 Example. FIG. 11 is a flowchart showing still another portion of behavior of the CPU applied to the embodiment in FIG. 2; It is a block diagram which shows the structure of the other Example of this invention. FIG. 22 is a flowchart showing one portion of behavior of a CPU applied to the embodiment in FIG. 21. (A) is an illustration figure which shows an example of a structure of an air conditioner, (B) is an illustration figure which shows an example of a structure of an illuminating device. It is an illustration figure which shows an example of a structure of the area register applied to another Example. It is an illustration figure which shows an example of a structure of the control model log | history register applied to another Example.

  Referring to FIG. 1A, an output control apparatus according to an embodiment of the present invention is basically configured as follows. The detection means 1a detects one or more specific objects from the space. The first determination unit 2a executes a process of determining an appropriate control model of an apparatus that generates an output toward a space based on the control model history information in response to detection by the detection unit 1a. The accepting unit 3a accepts a setting change operation for changing the setting of the apparatus in parallel with the detection process of the detecting unit 1a. The second determination unit 4a executes a process of determining an appropriate control model of the apparatus in accordance with the setting change operation instead of the determination process of the first determination unit 2a. The control means 5a controls the output operation of the apparatus based on the appropriate control model determined by each of the first determination means 2a and the second determination means 3a. The updating unit 6a updates the control model history information in association with the determination processes of the first determination unit 2a and the second determination unit 3a.

  The control model history information is updated with respect to the determination process of the appropriate control model in response to the detection of the specific object from the space, and is updated in association with the determination process of the appropriate control model in response to the setting change operation. Further, when a specific object is detected from the space, the appropriate control model is determined based on the control model history information.

  For this reason, the history regarding the appropriate control model determined according to the setting change operation is reflected in the determination process of the appropriate control model when the specific object is detected from the space. This improves the control performance of the output operation of the apparatus.

  With reference to FIG. 1 (B), the output control apparatus of another Example is fundamentally comprised as follows. The detection means 1b detects one or more specific objects from the space. The determination unit 2b executes a process of determining an appropriate control model of the device that generates an output toward the space based on the control model history information stored in the memory 7b in response to the detection of the detection unit 1b. The control means 3b controls the output operation of the apparatus based on the appropriate control model determined by the determination means 2b. The first update unit 4b updates the control model history information stored in the memory 7b in association with the determination process of the determination unit 2b. The capturing unit 5b captures new control model history information from the outside. The second updating unit 6b updates the control model history information stored in the memory 7b with the control model history information captured by the capturing unit 5b.

  The control model history information is updated with respect to a process for determining an appropriate control model in response to detection of a specific object from space, and is updated with new control model history information taken from outside. Further, when a specific object is detected from the space, the appropriate control model is determined based on the control model history information. This improves the control performance of the output operation of the apparatus.

  With reference to FIG. 2, the air conditioning control device 10 of this embodiment includes a camera 12 that repeatedly outputs image data representing an object scene (three-dimensional space) captured on an imaging surface. The camera 12 is set in the room RM1 shown in FIG. According to FIG. 3, the room RM1 is partitioned by the floor surface FL1 and the ceiling HV1 and the four wall surfaces WL1 to WL4. The camera 12 is provided at the upper center of the wall surface WL1 in the width direction, and captures the internal space of the room RM1 from obliquely above.

  Therefore, the image based on the image data output from the camera 12 is reproduced in the manner shown in FIG. As shown in FIGS. 3 and 4, the internal space of the room RM1 is defined by the X, Y, and Z axes that are orthogonal to each other, and the imaging surface of the camera 12 is defined by the U and V axes that are orthogonal to each other.

  Air conditioners D_1 to D_6 and lighting devices E_1 to E_6 are installed at a predetermined distance on the ceiling HV1. Here, the installation positions of the lighting devices E_1 to E_6 overlap with the setting positions of the air conditioners D_1 to D_6, respectively. Each of the air conditioners D_1 to D_6 outputs air having a specified temperature and humidity with a specified air volume, and each of the lighting devices E_1 to E_6 emits light with a specified illuminance.

  The temperature sensor 20_1, the humidity sensor 22_1, the air volume sensor 24_1, and the illuminance sensor 26_1 are arranged directly below the air conditioner D_1 and the illumination apparatus E_1. It is arranged directly below the device E_2.

  Further, the temperature sensor 20_3, the humidity sensor 22_3, the air volume sensor 24_3, and the illuminance sensor 26_3 are disposed directly below the air conditioner D_3 and the illumination apparatus E_3, and the temperature sensor 20_4, the humidity sensor 22_4, the air volume sensor 24_4, and the illuminance sensor 26_4 are arranged in the air conditioner D_4. And just below the lighting device E_4.

  Further, the temperature sensor 20_5, the humidity sensor 22_5, the air volume sensor 24_5, and the illuminance sensor 26_5 are arranged directly below the air conditioner D_5 and the illumination apparatus E_5, and the temperature sensor 20_6, the humidity sensor 22_6, the air volume sensor 24_6, and the illuminance sensor 26_6 are arranged in the air conditioner D_6. And just below the lighting device E_6.

  When the area setting mode is selected by operating the input device 18, the following processing is executed by the CPU 14p. In the area setting mode, the camera 12 is in a stopped state.

  First, the map image shown in FIG. 5 is displayed on the monitor 16. The map image corresponds to an image that schematically represents a bird's-eye view of the plane FL1. In the map image, marks M_1 to M_6 respectively representing the air conditioners D_1 to D_6 (or lighting devices E_1 to E_6) are displayed corresponding to the positions of the air conditioners D_1 to D_6 (or lighting devices E_1 to E_6). .

  When the display of the map image is completed, the variable K is set to “1”. When the mark M_K is clicked by the mouse pointer provided in the input device 18, coordinates indicating the clicked position, that is, click coordinates are calculated. The calculated click coordinates are described in the area register 14r1 shown in FIG. 6 corresponding to the variable K, and the variable K is incremented thereafter. The click operation is accepted a total of six times corresponding to the marks M_1 to M_6, and thereby six click coordinates respectively corresponding to the marks M_1 to M_6 are set in the area register 14r1.

  The map image is divided in the manner shown in FIG. 9A with the six click coordinates thus set as a reference. The boundary lines BL_1 to B_L3 are drawn on the map image so as to surround the marks M_1 to M_6. As a result, the divided areas MP_1 to MP_6 are allocated around the marks M_1 to M_6, and the internal space of the room RM1 is divided into a plurality of small spaces respectively corresponding to the divided areas MP_1 to MP_6. The area register 14r1 describes a plurality of XY coordinates that define the divided area MP_K (K: 1 to 6).

  Subsequently, each of a plurality of XY coordinates that define the divided area MP_K is converted into UV coordinates according to Equation 1.

数１に示す校正パラメータＰ１１〜Ｐ３３は、平面ＦＬ１を定義するＸＹ座標系とカメラ１２の撮像面つまりカメラ画像を定義するＵＶ座標系との間で平面射影変換を行うための行列に相当する。したがって、所望のＸＹ座標を数１に適用することで、カメラ画像上の対応するＵＶ座標が算出される。こうして変換された複数のＵＶ座標は、変換元の複数のＸＹ座標に対応してエリアレジスタ１４ｒ１に記述される。分割エリアＭＰ＿Ｋに対応する測定エリアＤＴ＿Ｋは、図９（Ｂ）に示す要領でカメラ画像上に定義される。

The calibration parameters P11 to P33 shown in Equation 1 correspond to a matrix for performing planar projective transformation between the XY coordinate system that defines the plane FL1 and the imaging plane of the camera 12, that is, the UV coordinate system that defines the camera image. Therefore, by applying the desired XY coordinates to Equation 1, the corresponding UV coordinates on the camera image are calculated. The plurality of UV coordinates thus converted are described in the area register 14r1 corresponding to the plurality of XY coordinates of the conversion source. The measurement area DT_K corresponding to the divided area MP_K is defined on the camera image in the manner shown in FIG. 9B.

  When the output control mode is selected by operating the input device 18, the camera 12 is activated, and the next processing is executed by the CPU 14p every time the measurement cycle comes.

  First, a person image is searched from a camera image by pattern matching or motion detection. When one or more person images are found, the variable L is set to each of “1” to “Lmax” (Lmax: the total number of found person images), and one or more person images are found. The representative point of the L-th person image is determined as “RP_L”. The determined XY coordinates of the representative point RP_L are described in the representative point register 14r2 shown in FIG.

  When the persons H1 to H3 exist in the room RM1 as shown in FIG. 10, the representative point RP_1 is determined on the image representing the person H1, the representative point RP_2 is determined on the image representing the person H2, and the person H3 is selected. A representative point RP_3 is determined on the image to be represented. The XY coordinates of the representative points RP_1 to RP_3 are described in the representative point register 14r2 corresponding to L = 1 to 3.

  Subsequently, the variable K is set to each of “1” to “6”, and the outputs of the air conditioner D_K and the illumination device E_K are controlled by the air conditioning & illuminance control process described below.

  If no user setting operation is performed on the input device 18 and the user setting is invalid, the number of representative points belonging to the divided area MP_K is measured as “NUM”. If the variable NUM is “1” or more, it is considered that there is a person in the measurement area DT_K, and the optimum control model MD_K is calculated with reference to the description of the control model history register 14r4 shown in FIG. 8 (details will be described later). . On the other hand, when a user setting operation is performed on the input device 18, an optimal control model MD_K is calculated based on the user setting. The optimal control model MD_K based on the user setting is maintained over a period during which the user setting is valid. The calculated optimal control model MD_K has as parameters the temperature, humidity and air volume to be set for the air conditioner D_K and the illuminance to be set for the lighting device E_K.

  When the user setting operation is accepted at 12:00 and the user setting is valid from 12:00 to 14:00, the temperature, humidity, air volume, and illumination that define the optimal control model MD_K are shown in, for example, FIGS. It changes in the way.

  According to FIGS. 11 to 14, the temperature and humidity defining the optimum control model MD_K in the period before accepting the user setting operation (= period A) and in the period after the user setting becomes invalid (= period C). The air volume and the illuminance are calculated with reference to the description in the control model history register 14r4.

  When the user setting operation is accepted, the temperature, humidity, air volume, and illuminance that define the optimum control model MD_K are calculated according to the user setting operation, not the description of the control model history register 14r4. The calculated temperature, humidity, air volume, and illuminance are maintained over a period (= period B) in which the user setting is valid.

  When the calculation of the optimal control model MD_K is completed, detection results of the temperature sensor 20_K, the humidity sensor 22_K, the air volume sensor 24_K, and the illuminance sensor 26_K are taken in to measure the environment of the measurement area DT_K. The measured environment has, as parameters, the temperature detected by the temperature sensor 20_K, the humidity detected by the humidity sensor 22_K, the air volume detected by the air volume sensor 24_K, and the illuminance detected by the illuminance sensor 26_K.

  Subsequently, the difference between the optimal control model MD_K and the measurement environment is calculated for each common parameter. The calculated difference is represented by a temperature difference ΔTP, a humidity difference ΔHM, an air volume difference ΔAV, and an illuminance difference ΔLM. The output of the air conditioner D_K is adjusted such that the calculated temperature difference ΔTP, humidity difference ΔHM, and air volume difference ΔAV are suppressed. Further, the output of the illumination device E_K is adjusted so that the calculated illuminance difference ΔLM is suppressed.

  When the adjustment is completed, the control model history is updated. Specifically, the parameter value defining the current optimum control model MD_K and the current date and time indicated by the clock circuit 14t are added to the control model history register 14r4. The addition to the control model history register 14r4 is repeatedly executed during a period when the user setting is valid and also during a period when the user setting is invalid and no person exists in the measurement area DT_K. At this time, the parameter value of the optimum control model MD_K described is the same as the previous value.

  In calculating the optimal control model MD_K based on the description of the control model history register 14r2, first, the current date and time are detected with reference to the clock circuit 14t, and the detected date and time correspond to the detected date and time. A past period is specified as the extraction period. For example, if the current date and time are 14:00 on June 14, 2010, the extraction period is from 17:00 to 15:00 on June 7 to 21 in the past several years. When the extraction period is specified, “1” and “n” are assigned to the start and end of the extraction period, respectively. The value “n” corresponds to the number of optimum control models registered in the control model history register 14r4 corresponding to the extraction period.

  Subsequently, the variable i is set to each of “1” to “n”, and the weighting amounts Wdi, Wti, Wrtpi, Wrhmi, Wravi, and Wrlmi are calculated according to Equations 2 to 7.

数２〜数７において、“Ｄｓ”は今日の月日に相当し、“Ｄｉ”は変数ｉに対応して制御モデル履歴レジスタ１４ｒ４に記述された月日に相当する。“Ｔｓ”は現在時刻に相当し、“Ｔｉ”は変数ｉに対応して制御モデル履歴レジスタ１４ｒ４に記述された時刻に相当する。“ＲＴＰｓ”は温度センサ２０＿Ｋによって検知された現時点の温度に相当し、“ＴＰｉ”は変数ｉに対応して制御モデル履歴レジスタ１４ｒ４に記述された空調装置Ｄ＿Ｋの設定温度に相当する。“ＲＨＭｓ”は湿度センサ２２＿Ｋによって検知された現時点の湿度に相当し、“ＨＭｉ”は変数ｉに対応して制御モデル履歴レジスタ１４ｒ４に記述された空調装置Ｄ＿Ｋの設定湿度に相当する。

In Expressions 2 to 7, “Ds” corresponds to today's month and day, and “Di” corresponds to the month and day described in the control model history register 14r4 corresponding to the variable i. “Ts” corresponds to the current time, and “Ti” corresponds to the time described in the control model history register 14r4 corresponding to the variable i. “RTPs” corresponds to the current temperature detected by the temperature sensor 20_K, and “TPi” corresponds to the set temperature of the air conditioner D_K described in the control model history register 14r4 corresponding to the variable i. “RHMs” corresponds to the current humidity detected by the humidity sensor 22_K, and “HMi” corresponds to the set humidity of the air conditioner D_K described in the control model history register 14r4 corresponding to the variable i.

  “RAVs” corresponds to the current airflow detected by the airflow sensor 24_K, and “AVi” corresponds to the set airflow of the air conditioner D_K described in the control model history register 14r4 corresponding to the variable i. “RLMs” corresponds to the current illuminance detected by the illuminance sensor 26_K, and “LMi” corresponds to the set illuminance of the lighting device E_K described in the control model history register 14r4 corresponding to the variable i. “A” to “g” correspond to constants.

  According to Equation 2, a numerical value obtained by adding a minus to the difference absolute value between today's month and day and the month and day corresponding to the variable i is set as a power exponent, and this power exponent is raised to a constant g. The weighting amount Wdi is obtained by multiplying the power value thus calculated by a constant a.

  According to Equation 3, a numerical value obtained by adding a minus to the absolute difference between the current time and the time corresponding to the variable i is set as a power exponent, and this power exponent is raised to a constant g. The weighting amount Wti is obtained by multiplying the power value thus calculated by a constant b.

  According to Equation 4, a numerical value obtained by adding a minus to the absolute value of the difference between the current temperature detected by the temperature sensor 20_K and the temperature set in the air conditioner D_K at the date and time corresponding to the variable i is an exponent. Is set and this exponent is raised to a constant g. The weighting amount Wrtpi is obtained by multiplying the power value thus calculated by a constant c.

  According to Equation 5, a numerical value obtained by adding a minus to the absolute difference between the current humidity detected by the humidity sensor 22_K and the humidity set in the air conditioner D_K at the date and time corresponding to the variable i is a power index. Is set and this exponent is raised to a constant g. The weighting amount Wrhmi is obtained by multiplying the power value thus calculated by a constant d.

  According to Equation 6, a numerical value obtained by adding a minus to the absolute value of the difference between the current air volume detected by the air volume sensor 24_K and the air volume set in the air conditioner D_K at the date and time corresponding to the variable i is an exponent. Is set and this exponent is raised to a constant g. The weighting amount Wravi is obtained by multiplying the power value thus calculated by a constant e.

  According to Equation 7, a numerical value obtained by adding a minus to the absolute value of the difference between the current illuminance detected by the illuminance sensor 26_K and the illuminance set in the lighting device E_K at the date and time corresponding to the variable i is an exponent. Is set and this exponent is raised to a constant g. The weighting amount Wrlmi is obtained by multiplying the power value thus calculated by a constant f.

  Subsequently, the temperature to be set for the air conditioner D_K is calculated as “TPs” according to Equation 8, the humidity to be set for the air conditioner D_K is calculated as “HMs” according to Equation 9, and the air volume to be set for the air conditioner D_K is It is calculated as “AVs” according to Equation 10. Further, the illuminance to be set in the illumination device E_K is calculated as “LMs” according to Equation 11.

数８において、分母は、重み付け量Ｗｄｉ，ＷｔｉおよびＷｒｔｐｉを共通の変数ｉに対応して掛け合わせ、これによって得られたｎ個の掛け算値を積算することで求められる。また、分子は、設定温度ＴＰｉと重み付け量Ｗｄｉ，ＷｔｉおよびＷｒｔｐｉとを共通の変数ｉに対応して掛け合わせ、これによって得られたｎ個の掛け算値を積算することで求められる。分子の値を分母の値で割り算すると、設定温度ＴＰｓが導き出される。

In Equation 8, the denominator is obtained by multiplying the weighting amounts Wdi, Wti, and Wrtpi corresponding to the common variable i, and accumulating n multiplication values obtained thereby. The numerator is obtained by multiplying the set temperature TPi and the weighting amounts Wdi, Wti, and Wrtpi corresponding to the common variable i, and integrating the n multiplied values obtained thereby. By dividing the numerator value by the denominator value, the set temperature TPs is derived.

  In Equation 9, the denominator is obtained by multiplying the weighting amounts Wdi, Wti and Wrhmi in correspondence with the common variable i and integrating the n multiplied values obtained thereby. The numerator is obtained by multiplying the set humidity HMi and the weighting amounts Wdi, Wti, and Wrhmi corresponding to the common variable i, and integrating the n multiplied values obtained thereby. When the numerator value is divided by the denominator value, the set humidity HMs is derived.

  In Equation 10, the denominator is obtained by multiplying the weighting amounts Wdi, Wti, and Wravi corresponding to the common variable i, and accumulating n multiplication values obtained thereby. The numerator is obtained by multiplying the set air volume AVi and the weighting quantities Wdi, Wti, and Wravi corresponding to the common variable i, and integrating the n multiplied values obtained thereby. By dividing the numerator value by the denominator value, the set air volume AVs is derived.

  In Equation 11, the denominator is obtained by multiplying the weighting amounts Wdi, Wti and Wrlmi corresponding to the common variable i, and integrating the n multiplied values obtained thereby. The numerator is obtained by multiplying the set illuminance LMi and the weighting amounts Wdi, Wti, and Wrlmi corresponding to a common variable i, and accumulating n multiplication values obtained thereby. When the numerator value is divided by the denominator value, the set illuminance LMs is derived.

  The CPU 14p executes a plurality of tasks including a main task shown in FIG. 15, an area setting task shown in FIGS. 16 to 17, and an output control task shown in FIGS. Note that control programs corresponding to these tasks are stored in the recording medium 22.

  Referring to FIG. 15, in step S1, it is determined whether or not the current operation mode is the area setting mode, and in step S5, it is determined whether or not the current operation mode is the output control mode.

  If “YES” in the step S1, an area setting task is activated in a step S3, and thereafter, the process proceeds to a step S15. If “YES” in the step S5, it is determined whether or not the divided areas MP_1 to MP_6 have been set in a step S7. If the determination result is YES, the output control task is started in step S9 and then the process proceeds to step S13. If the determination result is NO, the process directly proceeds to step S13. If both steps S1 and S5 are NO, another process is executed in step S11, and then the process proceeds to step S13.

  In step S13, it is repeatedly determined whether or not a mode change operation has been performed. When the determination result is updated from NO to YES, the activated task is terminated in step S15, and thereafter, the process returns to step S1.

  Referring to FIG. 16, a map image is displayed on monitor 16 at step S21, and variable K is set to “1” at step S23. In step S25, it is determined whether or not a click operation for designating an area has been performed. If the determination result is updated from NO to YES, click coordinates are calculated in step S27. The calculated coordinates are described in the area register 14r1 corresponding to the variable K. In step S29, it is determined whether or not the variable K has reached “6”. If the determination result is NO, the variable K is incremented in step S31 and then the process returns to step S25. Proceed to S33.

  In step S33, the map image is divided with reference to the click coordinates. As a result, six divided areas MP_1 to MP_6 are allocated on the map image. In step S35, boundary lines BL_1 to BL_3 that partition the divided images MP_1 to MP_6 are drawn on the map image.

  In step S37, the variable K is set to “1”, and in step S39, a plurality of XY coordinates defining the divided area MP_K are calculated. The calculated XY coordinates are described in the area register 14r1 corresponding to the variable K. In step S41, each of the plurality of XY coordinates that define the divided area MP_K is converted into UV coordinates according to Equation 1. The converted UV coordinates are described in the area register 14r1 corresponding to the variable K, whereby the measurement area DT_K corresponding to the divided area MP_K is assigned to the camera image.

  In step S43, it is determined whether or not the variable K has reached “6”. If the determination result is NO, the variable K is incremented in step S45 and then the process returns to step S39. If the determination result is YES, the process ends.

  With reference to FIG. 18, it is discriminate | determined by step S51 whether the measurement period came. When the determination result is updated from NO to YES, the process proceeds to step S53, and a person image is searched from the camera image by pattern matching or motion detection. In step S55, it is determined whether one or more person images have been found. If the determination result is NO, the process returns to step S51, whereas if the determination result is YES, the process proceeds to step S57.

  In step S57, the variable L is set to “1”. In step S59, the representative point of the Lth person image among the one or more found person images is determined as “RP_L”, and is determined in step S61. The XY coordinates of the representative point RP_L are calculated with reference to the above equation 1. The calculated XY coordinates are described in the representative point register 14r2 corresponding to the variable L. In step S63, it is determined whether or not the variable L has reached the maximum value Lmax (= total number of discovered human images). If the determination result is NO, the variable L is incremented in step S65, and the process returns to step S59. On the other hand, if a determination result is YES, it will progress to Step S67.

  In step S67, the variable K is set to "1", and in step S69, the air conditioning & illuminance control process is executed for the air conditioner D_K and the lighting device E_K. In step S71, it is determined whether or not the variable K has reached “6”. If the determination result is NO, the variable K is incremented in step S73 and then the process returns to step S69. Return to S51.

  The air conditioning & lighting control process in step S69 is executed according to a subroutine shown in FIG.

  In step S81, it is determined whether a user setting operation has been performed on the input device 18. In step S93, it is determined whether the user setting is invalid. If “YES” in the step S81, the process proceeds to a step S83, and the optimum control model MD_K is calculated according to the user setting operation. The optimal control model MD_K has temperature, humidity, air volume, and illuminance set by the user as parameters. When the calculation is completed, the process proceeds to step S85. On the other hand, if both of steps S81 and S93 are NO, the process proceeds to step S85 without executing the process of step S83.

  In step S85, detection results of the temperature sensor 20_K, the humidity sensor 22_K, the air volume sensor 24_K, and the illuminance sensor 26_K are captured in order to measure the environment of the measurement area DT_K. The measured environment has, as parameters, the temperature detected by the temperature sensor 20_K, the humidity detected by the humidity sensor 22_K, the air volume detected by the air volume sensor 24_K, and the illuminance detected by the illuminance sensor 26_K.

  In step S87, a difference in common parameters between the optimal control model MD_K and the measured environment is calculated. The calculated difference is represented by a temperature difference ΔTP, a humidity difference ΔHM, an air volume difference ΔAV, and an illuminance difference ΔLM. In step S89, the output of the air conditioner D_K is adjusted so that the calculated temperature difference ΔTP, humidity difference ΔHM, and air volume difference ΔAV are suppressed, and the output of the lighting device E_K is controlled so that the calculated illuminance difference ΔLM is suppressed. Adjust.

  When the adjustment is completed, the control model history is updated in step S91. Specifically, the parameter value defining the current optimal control model and the current time are added to the control model history register 14r4. When the process of step S91 is completed, the process returns to the upper-level routine.

  If NO in step S81, but YES in step S83, the number of representative points belonging to the divided area MP_K is measured in step S95. The number of measured representative points is set in the variable NUM. In step S97, it is determined whether or not the variable NUM is “1” or more. If the determination result is NO, the process proceeds directly to step S91. If the determination result is YES, the process proceeds to the next steps S99 to S101. Proceed to step S85.

  In step S99, the period corresponding to the current date and time is set as the extraction period, and the parameters of the optimal control model MD_K corresponding to the set extraction period are extracted from the control model history register 14r4. In step S101, the extracted parameters, the detection results of the temperature sensor 20_K, the humidity sensor 22_K, the air volume sensor 24_K, and the illuminance sensor 26_K and the output of the clock circuit 14t are applied to the above-described equations 2 to 11, and the optimal control model MD_K is calculated.

  As can be understood from the above description, when the CPU 14p detects one or more persons from the measurement area DT_K (K: 1 to 6) (S53 to S65, S95 to S97), the CPU 14p outputs an output toward the measurement area DT_K. An optimal control model MD_K suitable for the generated air conditioner D_K and lighting device E_K is determined based on the description of the control model history register 14r4 (S99 to S101). The CPU 14p also accepts a user setting operation for changing the settings of the air conditioner D_K and the lighting device E_K in parallel with the person detection process (S81), and determines the optimum control model MD_K according to the user setting operation (S83). Here, the model determination process in response to the person detection and the model determination process in response to the user setting operation are executed instead. The CPU 14p further controls the output operations of the air conditioner D_K and the lighting device E_K based on the optimum control model MD_K determined in this way (S85 to S89), and updates the description of the control model history register 14r4 in relation to the model determination process. (S91).

  As described above, the description of the control model history register 14r4 is updated with respect to the model determination process in response to the person detection, and is updated in association with the model determination process in response to the user setting operation. When a person is detected from the measurement area DT_K, the optimal control model MD_K is determined with reference to the control model history register 14r4.

  For this reason, the history regarding the optimal control model MD_K determined according to the user setting operation is reflected in the determination process of the optimal control model MD_K when a person is detected from the measurement area DT_K. Thereby, the control performance of the output operation of the air conditioner D_K and the lighting device E_K is improved.

  In this embodiment, the optimum control model determined according to the user setting operation is always registered in the control model history register 14r4. However, the optimum control model determined according to the user setting operation may be registered in the control model history register 14r4 in response to the history registration operation by the user. Further, when the optimal control model determined according to the user setting operation is greatly different from the optimal control model before the user setting operation, the process of registering the optimal control model determined according to the user setting operation in the control model history register 14r4 is limited. You may make it do.

  Further, in this embodiment, the optimum control model is determined according to the user setting operation accepted through the input device 18, and the description in the control model history register 14r4 is updated based on the optimum control model thus determined. . However, it was created by another air conditioning control device (a device set in a similar environment) during the period before the air conditioning control device 10 was installed and / or during the partial period after the air conditioning control device 10 was set. The control model history may be duplicated, and the duplicated control model history may be added to or overwritten in the control model history register 14r4. In this case, a communication I / F 30 for receiving a control model history created by another air conditioning control device is prepared as shown in FIG. 21, and a part of the air conditioning & lighting control processing shown in FIG. 20 is shown in FIG. It needs to be corrected as shown.

  With reference to FIG. 22, it is discriminate | determined by step S81 whether the control model log | history produced with another air-conditioning control apparatus was received by communication I / F30. If the determination result is NO, the process proceeds directly to step S95, and if the determination result is YES, the process proceeds to step S95 via step S113. In step S113, the received control model history is added to or overwritten in the control model history register 14r4.

  Further, in this embodiment, the internal space of the room RM1 is divided into six small spaces respectively corresponding to the divided areas MP_1 to MP_6, and the outputs of the air conditioners D_1 to 6 and the lighting devices E_1 to 6 for each of the divided small spaces. The operation is controlled. However, each of the air conditioners D_1 to D_6 has four outlets G1 to G4 as shown in FIG. 23A, and each of the lighting devices E_1 to E_6 has four lights as shown in FIG. On the premise of having L1 to L4, the internal space of the room RM1 is divided into 24 minute spaces, and the output from the outlets G1 to G4 and the brightness of the illuminations L1 to L4 are controlled for each minute space. May be. In this case, it is necessary to form 24 columns respectively corresponding to 24 minute spaces in each of the area register 14r1 and the control model history register 14r4 (see FIGS. 24 and 25).

  Although the present invention has been described and illustrated in detail, it is clear that it has been used merely as an illustration and example and should not be construed as limiting, and the spirit and scope of the present invention are attached Limited only by the wording of the claims.

10 ... Air-conditioning control device 12 ... Camera 14p ... CPU
18 ... Input device D_1-D_6 ... Air conditioner E_1-E_6 ... Lighting device

Claims (7)

Detection means for detecting one or more specific objects from space;
First determining means for executing a process of determining an appropriate control model of an apparatus that generates an output toward the space based on control model history information in response to detection by the detecting means;
Receiving means for receiving a setting change operation for changing the setting of the apparatus in parallel with the detection processing of the detecting means;
Second determining means for executing a process of determining an appropriate control model of the apparatus according to the setting change operation instead of the determining process of the first determining means;
Control means for controlling an output operation of the apparatus based on an appropriate control model determined by each of the first determination means and the second determination means; and the control model history information as the first determination means and the second determination information. An output control device comprising update means for updating in association with each determination process of the determination means. The space is formed by a plurality of small spaces,
The output control apparatus according to claim 1, wherein the first determination unit, the reception unit, the second determination unit, the control unit, and the update unit execute processing corresponding to each of the plurality of small spaces. The detection means is a search means for searching for a specific object image from an object scene image output from a camera,
The output control device according to claim 2, further comprising: a determination unit that determines which of the plurality of small spaces the specific object belongs to based on the specific object image discovered by the search unit. The camera has an imaging surface defined along a UV coordinate system;
The space is partitioned by a plane defined along the XY coordinate system;
4. The output control apparatus according to claim 3, wherein the determination unit includes a calculation unit that calculates an XY coordinate of the specific object image with reference to a calibration parameter indicating a correspondence relationship between the UV coordinate system and the XY coordinate system. The device includes an air conditioner;
The output control device according to claim 1, wherein the appropriate control model has at least one of temperature, humidity, and air volume as a parameter. The device includes a lighting device;
The output control device according to claim 1, wherein the appropriate control model has brightness as a parameter. Detection means for detecting one or more specific objects from space;
A determination unit that executes a process of determining an appropriate control model of an apparatus that generates an output toward the space based on control model history information stored in a memory in response to detection by the detection unit;
Control means for controlling the output operation of the device based on the appropriate control model determined by the determining means;
First update means for updating the control model history information stored in the memory in association with a determination process of the determination means;
Fetching means for fetching new control model history information from outside, and second update means for updating the control model history information stored in the memory with control model history information fetched by the fetching means;
An output control device comprising:

Images