JP5854850B2 - Air conditioner and air conditioning control system - Google Patents

Description

  The present invention relates to an air conditioner and an air conditioning control system that perform air conditioning control in accordance with the temperature sensed by a person in a room.

  The room temperature in the next few hours is predicted from the room temperature obtained by the temperature sensor installed in the air conditioner and the weather information obtained from an external server, etc., and the predicted room temperature and the current air conditioner An air conditioning control device that performs operation control of an air conditioner based on the operation status is known (see, for example, Patent Document 1). In such an air conditioning control system, for example, when it is predicted that the room temperature will rise within the next hour, the air conditioning control is performed in advance to control the room temperature to be lowered so as to keep the room at a comfortable temperature for a person. It was.

Japanese Patent Laid-Open No. 2002-238081

  However, because the temperature that a person actually feels depends on the thermal resistance of the person's clothing, the room temperature controlled by the air conditioner does not match the person's sensed temperature, and the room temperature is not necessarily comfortable for the person. There was a problem that it was not temperature.

  The present invention has been made to solve the above-described problems, and is an air conditioner capable of performing temperature control based on a human sensed temperature calculated from image data including a person and a room temperature. It aims at providing a machine and an air-conditioning control system.

  An air conditioner according to the present invention includes a sensory temperature calculating unit that calculates a human sensory temperature included in the image data from image data obtained by photographing a room and the indoor temperature, and the sensory temperature calculating unit. It is characterized by comprising air conditioning control means for performing air conditioning control so that the calculated temperature of the person's sensation is brought close to the preset preference temperature of the person.

  An air-conditioning control system according to the present invention is an air-conditioning control system including a plurality of air conditioners and a management server connected to the plurality of air conditioners via a network. The sensory temperature calculating means for calculating the sensory temperature of the person included in the image data from the image data obtained by photographing and the room temperature, and the personal ID input to the personal ID input means to the management server First communication processing means for transmitting, and the management server stores preference temperature storage means for associating and storing a plurality of individual IDs and person's preference temperature, and the first communication processing means to the individual And second communication processing means for receiving the ID and transmitting the preference temperature corresponding to the received personal ID to the first communication processing means, wherein the air conditioner calculates the sensory temperature The sensible temperature of the person which is calculated by the step, characterized in that the air-conditioning control as close to the transmitted the preference temperature from the second communication processing unit.

  In the air conditioner and the air conditioning control system of the present invention, the temperature control is performed based on the sensed temperature of the person calculated from the image data and the room temperature, so that the room can be set to a comfortable temperature for the person. There is an effect.

1 is a configuration diagram of an air conditioner according to Embodiment 1. FIG. FIG. 3 is a detailed configuration diagram of a sensible temperature calculation unit according to the first embodiment. 4 is a clothing thermal resistance storage table according to the first embodiment. The active mass storage table which concerns on Embodiment 1. FIG. 2 is a steady-state calculation thermal network model according to the first embodiment. 3 is a flowchart for explaining the operation of the first embodiment. The block diagram of the air-conditioning control system of Embodiment 1. FIG. The block diagram of the air-conditioning control system of Embodiment 2. FIG. 9 is a flowchart for explaining the operation of the second embodiment. The detailed block diagram of the body temperature calculation means which concerns on Embodiment 2. FIG. FIG. 10 is a thermal network model for unsteady calculation according to Embodiment 3. FIG. FIG. 10 is a graph showing a change over time in the temperature of a person's body temperature according to Embodiment 3. FIG. The block diagram of the air conditioner and the air-conditioning control system in the train vehicle which concerns on Embodiment 4. FIG.

Embodiment 1 FIG.
Embodiment 1 of the present invention will be described below with reference to the drawings. 1 is a configuration diagram of an air conditioner according to Embodiment 1. FIG. FIG. 2 is a detailed configuration diagram of the sensible temperature calculation means according to the first embodiment. FIG. 3 is a clothing thermal resistance storage table according to the first embodiment. FIG. 4 is an activity amount storage table according to the first embodiment. FIG. 5 shows a thermal circuit model for steady calculation according to the first embodiment. FIG. 6 is a flowchart for explaining the operation of the first embodiment. FIG. 7 is a configuration diagram of the air conditioning control system according to the first embodiment.

  As shown in FIG. 1, an air conditioner 100 includes an image sensor (imaging unit) 1, a temperature sensor (temperature detection unit) 2, a personal ID input unit 3, a temperature input unit 4, and an image input unit 5. The sensory temperature calculation means 6, the preference temperature storage means 7, the control signal generation means 8, and the operation control means 9 are provided. The control signal generation means 8 and the operation control means 9 constitute an operation control means.

  The image sensor 1 is realized by a CCD (Charge Coupled Device Image Sensor) or CMOS (Complementary Metal Oxide Semiconductor Image Sensor) that captures the room in which the air conditioner 100 is installed. Is input to the image input means 5. The shooting range is preferably set in a wide range so that the person can be photographed at least when the person enters the room. Note that the image sensor 1 may be provided inside or outside the air conditioner 100.

  The temperature sensor 2 is a sensor that can measure the temperature of a representative point in the room, and measures the room temperature every predetermined time. The temperature sensor 2 inputs the measured room temperature to the temperature input means 4. The temperature sensor 2 may be provided inside the air conditioner 100 or outside.

  The personal ID input means 3 receives a personal ID for recognizing a person who is a user. When the personal ID is input, the personal ID input unit 3 activates the image sensor 1 and the temperature sensor 2 and outputs the personal ID to the control signal generation unit 8. The personal ID input means 3 is realized by a card reader, for example.

  As for the personal ID input method, for example, a person may input an ID card over a card reader provided in the air conditioner 100, or a portable terminal or the like owned by the person and the air conditioner 100 may be connected. You may connect with a local network and input personal ID through this local network. At this time, the mobile terminal is assigned a unique local IP address within the local network. The local network corresponds to a wireless local area network (LAN) such as Wi-Fi (wireless fidelity).

  The temperature input means 4 receives the room temperature from the temperature sensor 2 and outputs the room temperature to the sensation temperature calculation means 6.

  The image input means 5 receives the image data from the image sensor 1 and outputs the image data to the sensory temperature calculation means 6.

  The sensory temperature calculation means 6 calculates the sensory temperature of a person included in the image data from the result of analyzing the image data input from the image sensor 1 and the room temperature input from the temperature sensor 2. A detailed description of the method for calculating the sensory temperature will be described later.

  The preference temperature storage means 7 stores a person's personal ID and the person's preference information in association with each other. The preference temperature is a temperature that a person can set in advance, and does not necessarily have to be one. For example, the preference temperature can be changed according to the date and time zone.

  The control signal generation unit 8 generates a control signal for performing air-conditioning control so that the body temperature calculated by the body temperature calculation unit 6 approaches the preset preference temperature of the person, and outputs the control signal to the operation control unit 9. More specifically, when the personal ID is input from the personal ID input unit 3, the control signal generation unit 8 acquires the preference temperature of the person corresponding to the input personal ID from the preference temperature storage unit 7. Further, when the sensible temperature is input from the sensible temperature calculating unit 6, the control signal generating unit 8 calculates the difference between the input sensible temperature and the preference temperature. Then, the control signal generation unit 8 generates a control signal for performing air conditioning control so that the temperature difference is eliminated, and outputs the control signal to the operation control unit 9. Details of how to control air conditioning will be described later.

  When the control signal from the control signal generating unit 8 is input, the operation control unit 9 performs air conditioning control so that the sensible temperature calculated by the sensible temperature calculating unit 6 approaches the preset preference temperature of the person.

  Here, the detail about the calculation method of body temperature is demonstrated using FIG. As shown in FIG. 2, the sensible temperature calculation means 6 includes a clothing thermal resistance calculation unit 61, an activity amount calculation unit 62, and a processing calculation unit 63 inside.

  The clothing thermal resistance calculation unit 61 calculates the clothing thermal resistance, which is a value representing the difficulty in transmitting the temperature of the person's clothing included in the input image data. First, the clothing thermal resistance calculation unit 61 detects a person existing in the room from the input image data, and extracts image data of a portion corresponding to the person. This person detection can be realized by using, for example, face recognition processing or edge detection processing.

  Next, the clothing thermal resistance calculation unit 61 obtains a clothing area ratio (a person's body surface area / clothing area) to the person's surface area from the image data of the person. This clothing area ratio can be obtained by using an image recognition algorithm based on supervised machine learning such as a neural network or a support vector machine that learns a clothing appearance image of a large number of persons and a database of the clothing area.

  Next, the clothing thermal resistance calculation unit 61 acquires the clothing thermal resistance corresponding to the obtained clothing area ratio from the clothing thermal resistance storage unit included therein, and outputs the clothing thermal resistance to the processing calculation unit 63. As shown in FIG. 3, the clothing thermal resistance storage unit stores in advance a clothing appearance and clothing thermal resistance corresponding to the clothing area ratio. For example, when the clothing area ratio is determined to be 0.50, the clothing thermal resistance calculation unit 61 determines that the person existing in the room is only shorts, and the clothing thermal resistance of the person is 0.16 [K / W]. In FIG. 3, only three patterns (“shorts only”, “shorts and T-shirts”, “winter trousers and winter jackets”) are described for the sake of explanation, but this is not restrictive. The clothing thermal resistance storage unit may be a memory provided outside.

  Returning to FIG. 2, the activity amount calculation unit 62 calculates an activity amount, such as a heat consumption amount of a person included in the input image data. First, the activity amount calculation unit 62 obtains an operation amount [m / s] corresponding to the moving speed of the person using at least two or more images included in the image data. This amount of motion can be obtained by using a difference (interframe difference) between image data acquired over time. For example, head position information that can be calculated from the position information of the person in the room and the time difference information of the position information can be calculated, and the movement speed of the person can be used as the movement amount.

  Next, the activity amount calculation unit 62 acquires an activity amount corresponding to the obtained operation amount from the activity amount storage unit included therein, and outputs the activity amount to the processing calculation unit 63. The activity amount storage unit stores in advance the predicted motion of the person corresponding to the determined motion amount and the amount of activity. For example, if the obtained motion amount is 1 [m / s], it is determined that the person is cooking, and the corresponding activity amount 130 [W] is output to the processing calculation unit 63. In FIG. 4, the types of exercise are simply four patterns (“resting”, “cooking”, “cleaning”, “violent exercise”), but this is not a limitation. The activity amount storage unit may be a memory provided outside.

  The processing calculation unit 63 performs the operation on the room temperature input from the temperature input unit 4 based on the clothing heat resistance input from the clothing heat resistance calculation unit 61 and the activity amount input from the activity amount calculation unit 62. A processing operation is performed to calculate the sensible temperature of the person included in the image data.

  For example, the processing calculation unit 63 performs a processing calculation according to a steady-state calculation thermal circuit network model shown in FIG. The steady-state calculation thermal network model shown in FIG. 5 includes a node 50 representing a person's perceived temperature T_user [° C.], a node 52 representing a room temperature T_room [° C.], and a person's clothing thermal resistance R_user [° C./W]. It is comprised from the thermal resistance 51 between the nodes showing. By inputting the person's activity amount Q_user [W] to the node 50, the person's sensible temperature T_user can be uniquely calculated.

  More specifically, the human body temperature T_user can be calculated by solving the equation expressed by the following equation (1).

  The flow of calculation of the sensible temperature will be described by taking as an example a case where the clothes of the person A existing in the room are shorts and a T-shirt and are in a resting state. The room temperature T_room is 10 ° C.

  Since the clothing thermal resistance calculation unit 61 obtains the clothing area ratio as 0.65, the value 0.21 of R_user, which is the clothing thermal resistance, is output to the processing calculation unit 63.

  Since the activity amount calculation unit 62 calculates the motion amount to be 0, the Q_user value 100 that is the activity amount is output to the processing calculation unit 63.

  The processing calculation unit 63 assigns T_room = 10, R_user = 0.65, and Q_user = 100 to the equation (1), calculates the sensible temperature T_user = 31 [° C.], and supplies this value to the control signal generation means 8. Output.

  The control signal generation unit 8 reads the preference temperature of the person A from the preference temperature storage unit 7 as described above. When the preference temperature of the person A is 36 ° C., the control signal generation unit 8 generates a control signal for air-conditioning control so that the sensory temperature 31 ° C. input from the processing calculation unit 63 approaches the preference temperature of 36 ° C. . That is, the control signal generation means 8 generates a control signal for air conditioning control to increase the indoor temperature from 10 ° C. to 15 ° C. by + 5 ° C. so that the sensible temperature increases from 31 ° C. to 36 ° C.

  Next, the operation of the first embodiment of the present invention will be described with reference to FIG.

  The air conditioner 100 is already powered by the remote control. When a person enters the room and inputs a personal ID to the personal ID input means 3 (step S1), the personal ID input means 3 outputs the personal ID to the control signal generation means 8 and activates the image sensor 1 and the temperature sensor 2. To do.

  The activated image sensor 1 outputs image data obtained by photographing the room at predetermined time intervals (step S2). The activated temperature sensor 2 outputs the room temperature obtained by measuring the room temperature at predetermined time intervals (step S3).

  The clothing thermal resistance calculation unit 61 in the sensory temperature calculation means 6 calculates the clothing area ratio from the output image data, calculates the clothing thermal resistance corresponding to the calculated clothing area ratio, and outputs the clothing thermal resistance to the processing calculation unit 63 ( Step S4). In addition, the activity amount calculation unit 62 in the sensory temperature calculation means 6 obtains an operation amount from the output image data, calculates an activity amount corresponding to the obtained operation amount, and outputs it to the processing operation unit 63 (step S5). ).

  The processing calculation unit 63 in the sensory temperature calculation unit 6 calculates the sensory temperature based on the clothing thermal resistance from the clothing thermal resistance calculation unit 61 and the activity amount from the activity amount calculation unit 62, and generates the control signal generation unit 8. (Step S6).

  Here, the processing calculation unit 63 does not necessarily use both the clothing thermal resistance and the amount of activity in accordance with the steady-state calculation thermal circuit network model shown in FIG. For example, the sensible temperature may be calculated by calculating the room temperature using only the clothing thermal resistance as a correction coefficient, or may be calculated by calculating the sensible temperature using only the amount of activity as the correction coefficient.

  The control signal generation unit 8 generates a control signal for air-conditioning control so that the sensible temperature from the processing calculation unit 63 approaches the preference temperature corresponding to the personal ID input from the personal ID input unit 3, and the operation control It outputs to the means 9 (step S7).

  When the control signal is input, the operation control means 9 performs air conditioning control according to the instruction content. That is, the room temperature is adjusted so that the sensible temperature approaches the preference temperature (step S8).

  As a result of the air conditioning control, when the sensible temperature is equal to the preference temperature (step S9—Yes), the air conditioning control for bringing the sensible temperature closer to the preference temperature is ended. At this time, the image sensor 1 and the temperature sensor 2 may be controlled to stop. When the sensation temperature is not equal to the preference temperature (step S9-No), the processes from step S4 to S8 are repeated again, and air conditioning control is performed so that the sensation temperature approaches the preference temperature. Note that whether or not the sensible temperature is equal to the preference temperature can be confirmed in the process in which the control signal generating means 8 generates the control signal.

  As described above, according to the first embodiment of the present invention, the temperature of a person included in the image data obtained by the image sensor is calculated, and the room temperature is set so that the calculated temperature of the person approaches the preference temperature of the person. Therefore, it is possible to set the room to a comfortable temperature for a person.

  In addition, the sensory temperature calculation means 6 calculates the sensory temperature based on the person's clothing thermal resistance and the amount of activity obtained by analyzing the image data, so that the sensory temperature can be calculated with high accuracy.

  Until now, the calculation of the sensible temperature has been performed in the air conditioner 100. However, as shown in FIG. 7, the sensible temperature calculation process and control are performed by the processing device 200 wired or wirelessly connected to the air conditioner 100. A signal generation process may be performed. The air conditioner 100 and the processing apparatus 200 constitute an air conditioning control system. 7 corresponds to the components shown in FIG. 1, and therefore, the same reference numerals as those in FIG.

Embodiment 2. FIG.
The second embodiment of the present invention will be described below with reference to the drawings. FIG. 8 is a configuration diagram of the air conditioning control system according to the second embodiment. FIG. 9 is a flowchart for explaining the operation of the second embodiment. FIG. 10 is a detailed configuration diagram of the sensible temperature calculation means according to the second embodiment.

  As shown in FIG. 8, the air conditioning control system of the second embodiment has a configuration in which a plurality of air conditioners 100A to 100N and a management server 300 are network-connected via the Internet. In addition, the same code | symbol as FIG. 7 is attached | subjected to the part corresponded to the structure of the air-conditioning control system of Embodiment 1, and the description is abbreviate | omitted.

  The air conditioners 100A to 100N newly include the first communication processing unit 10 as compared with the first embodiment. Below, although the structure with which 100 A of air conditioners are provided is demonstrated, it is the same also about another air conditioner. Moreover, although several air conditioner 100A-100N demonstrates as what has the same structure, respectively, for example, the structure from which some are different may be sufficient. Moreover, each of the plurality of air conditioners 100A to 100N may be installed in different homes, several may be installed in the home A, and others may be installed in different homes. What is necessary is just to be connected with the management server 300. FIG.

  The management server 300 includes second communication processing means 11, preference temperature acquisition means 12, and preference temperature storage means 7. The management server 300 is a terminal such as a PC that performs communication processing with each of the plurality of air conditioners 100A to 100N. For example, the management server 300 is installed in a company that sells the air conditioner 100, or is in the operating company of the air conditioner As long as it is installed.

  Here, the preference temperature storage means 7 of the management server 300 stores personal IDs for a plurality of persons. For example, personal IDs about the persons A to N who are the owners of the air conditioners 100A to 100N are stored. Therefore, when the person B inputs his / her personal ID to the air conditioner 100A installed in the room of the person A, the person B brings the room to a comfortable temperature even when the person B is in the room of the person A. It becomes possible.

  The first communication processing means 10 in the air conditioner 100A communicates data and the like with the second communication processing means 11 in the management server 300 via the network. For example, the personal ID input to the personal ID input means 3 is transmitted to the management server 300.

  The second communication processing unit 11 in the management server 300 communicates data and the like with the first communication processing unit 11 of each air conditioner 100. For example, the personal ID transmitted from the first communication processing unit 10 is received and output to the preference temperature acquisition unit 12. Also, the preference temperature acquired by the preference temperature acquisition unit 12 is transmitted to the first communication unit 10.

  When a personal ID is input from the second communication processing unit 11, the preference temperature acquisition unit 12 acquires a preference temperature corresponding to the personal ID from the preference temperature storage unit 7. The preference temperature acquisition unit 12 outputs the acquired preference temperature to the second communication processing unit 11.

  Next, the operation of the second embodiment of the present invention will be described with reference to FIG. Note that portions corresponding to the operations of the first embodiment are denoted by the same reference numerals as those in FIG. Also, S2-A to S6-A in FIG. 9 correspond to S2 to S6 in FIG.

  When a personal ID is input to the personal ID input unit 3 by a person (step S1), the personal ID input unit 3 outputs the personal ID to the first communication processing unit 10. When the personal ID is input, the first communication processing unit 10 transmits the personal ID to the second communication processing unit 11 of the management server 300 via the network (step S2-B).

  When the second communication processing unit 11 receives the personal ID, the second communication processing unit 11 outputs the personal ID to the preference temperature acquisition unit 12. The preference temperature acquisition unit 12 acquires the preference temperature corresponding to the received personal ID from the preference temperature storage unit 7 (step S3-B).

  The preference acquisition unit 12 outputs the acquired preference temperature to the second communication processing unit 11, and the second communication processing unit 11 sends the preference temperature to the first communication processing unit 10 of the air conditioner 100 via the network. Transmit (step S4-B). The control signal generation unit 8 generates a control signal from the preference temperature transmitted from the management server 300 and the body temperature calculated by the body temperature calculation unit 6 in the air conditioner 100.

  Note that the processing from step S2-A to step S6-A and the processing from step S2-B to step S4-B may be performed simultaneously, or any one of the processing may be performed first.

  As described above, according to the second embodiment of the present invention, a plurality of air conditioners and a management server are connected via a network, and a plurality of person's preference temperatures are collectively managed by the management server. Therefore, the person can control to maintain a temperature suitable for himself / herself even in an environment different from normal.

  In other words, if a person registers a personal ID and a preference temperature in the management server, the temperature can be set to be suitable for the room as long as the room has an air conditioner connected to the management server over a network.

  In addition, although the calculation process of the sensible temperature was performed in the air conditioner 100 so far, the calculation process of the sensible temperature may be performed in the management server 300.

Embodiment 3 FIG.
The second embodiment of the present invention will be described below with reference to the drawings. FIG. 11 shows a thermal network model for unsteady calculation according to the third embodiment. FIG. 12 is a graph showing temporal changes in the temperature of the human body according to the third embodiment.

  The sensory temperature calculation means in the air conditioner and air conditioning control system of the third embodiment has a new heat capacity calculation unit 64 as compared with the first embodiment, as shown in FIG. In addition, the same code | symbol as FIG. 7 is attached | subjected to the part corresponded to the structure of the air-conditioning control system of Embodiment 1, and the description is abbreviate | omitted.

  The heat capacity calculation unit 64 analyzes the input image data and estimates the person's physique included in the image data, thereby obtaining C_user [J / ° C.], which is the heat capacity of the person. The estimation of a person's physique is realized by using a supervised machine learning algorithm such as a neural network or a support vector machine in which a human body image data created in advance and a database of the physique of the person are learned. As an example, when a person's physique is the average adult male of 170 [cm] and 65 [kg], the heat capacity of the person is calculated to be 27.365 [kJ / ° C.]. In this case, the average specific heat capacity of the human body is set to 4217 [J / (kg · K)], which is almost equal to that of water, and the value of the heat capacity is obtained by multiplying this value by 65 [kg]. It is done.

  Similarly to the first embodiment, the processing calculation unit 63-A receives the activity amount, the clothing thermal resistance, and the room temperature, as well as the indoor heat capacity C_room [J / W] and the indoor wall thermal resistance R_room [ [° C./W], outdoor temperature T_out [° C.], and the heat capacity C_user [J / ° C.] of the person from the heat capacity calculation unit are also input. The person specifies the heat capacity of the room and the heat resistance of the wall of the room from the building data and inputs them manually. Further, the volume of the room may be measured by a method of measuring the dimension of the room three-dimensionally from the difference in the viewing angle between two image sensors installed at a distance, and the heat capacity of the air volume in the room may be calculated. . The outdoor temperature can be obtained by searching for a temperature corresponding to an area where the air conditioner 100 is installed using, for example, an external weather forecast server.

  The processing operation unit 63-A can perform a processing operation according to the thermal network model for unsteady calculation shown in FIG. 11, and can calculate the temporal displacement of the human body temperature T_user (t) and the room temperature T_room (t). . The thermal network model for unsteady calculation shown in FIG. 11 includes a node 50-A representing a time change Q_user (t) [W] of a person's activity and a person's body temperature T_user (t) [° C], A thermal resistance 51 between nodes representing clothing thermal resistance R_user [° C./W], a time variation pattern Q_room (t) [W] of the amount of heat input to the air conditioner, and a node 52-A representing a room temperature T_room [° C.] And an outdoor temperature 53, a thermal resistance 54 of the room wall, a human heat capacity 55, and a room heat capacity 56.

  Specifically, the calculation can be performed by solving a linear simultaneous differential equation expressed by the following equation (2). Differentiating the two formulas (2) and numerically calculating them when the air conditioner is in operation, so that the temperature of the future person in the time change pattern Q_room (t) of the input heat quantity of any air conditioner T_user (t ) Becomes predictable.

  An example of the time change of the room temperature obtained using the equation (2) will be described with reference to FIG. The horizontal axis is time, and the vertical axis is the sensory temperature. It can be seen that the operation is started at time t = t1, the comfortable temperature is reached at t = t2 during normal operation with a large amount of input heat, and the comfortable temperature is reached at t = t3 when power is saved with a small amount of input heat.

  The control signal generation means 8 generates a control signal for air conditioning control based on the calculated temporal change in the sensible temperature. For example, the control signal generation means 8 generates a control signal that increases the air conditioning when the sensible temperature is far from the comfortable temperature, and weakens the air conditioner when the sensible temperature approaches the comfortable temperature. However, the temporal change in the temperature of the sensation may be displayed only on, for example, a display provided in the air conditioner 100.

  As described above, according to the third embodiment of the present invention, since the temporal change in the perceived temperature can be understood from the temporal change pattern of the input heat amount of the air conditioner 100, how long the person has been after driving has started. It is possible to grasp whether the room temperature reaches a comfortable temperature after elapse of time. In addition, fine air-conditioning control based on the change in the sensible temperature is possible.

  As for air conditioning control for the room temperature after the air conditioner 100 enters the dehumidifying mode, the room temperature when a person opens the room window for ventilation, etc., the room temperature when a disturbance enters Can be predicted. By doing so, it is possible for the air conditioner itself to calculate the dehumidifying operation pattern and ventilation plan for keeping the comfortable temperature of the person as long as possible. Many of the conventional automatic air conditioner controls use feedback control to adjust the amount of heat input to the air conditioner by using indoor temperature information as a clue, but the thermal resistance of the indoor walls is preserved. If this is done, the time change pattern of the amount of heat input to the room of the air conditioner can be calculated, so that temperature control with fast follow-up by feedforward control becomes possible.

  In addition, the temperature prediction accuracy is further improved by parametrically correcting the thermal resistance of the indoor wall and the thermal capacity of the room so that the error between the calculated temperature predicted from Equation (2) and the temperature that can actually be measured is reduced. Can be made.

Embodiment 4 FIG.
Embodiment 4 of the present invention will be described below with reference to the drawings. FIG. 13 is a configuration diagram of an air conditioner and an air conditioning control system in a train car according to the fourth embodiment.

  In the fourth embodiment, a case where the air conditioner and the air conditioning control system of the first to third embodiments are applied to a train vehicle will be described. Needless to say, the present invention is applicable not only to trains but also to various moving objects such as car air conditioners.

  As shown in FIG. 13, an air conditioner 70, a sensor 71, a display 72, and an internet communication device 71 are provided in a train vehicle.

  The air conditioner 70 includes the personal ID input means 3, the temperature input means 4, the image input means 5, the sensory temperature calculation means 6, the control signal generation means 8, and the operation control means 9 in FIG. These are wired. Moreover, the portable terminal provided with communication functions, such as Wi-Fi which a person owns, can be connected to the air conditioner 70 or the sensor 71 in a vehicle via a local network.

  The sensor 71 includes both the image sensor 1 and the temperature sensor 2 in FIG. 1, and a plurality of sensors 71 are provided in the vehicle so as not to cause blind spots in the vehicle. The sensor 71 may be provided with the personal ID input means 3 in FIG.

  The internet communication device 72 includes the first communication processing means 10 in FIG. 8, and communicates data and the like via the Internet with a management server installed on the station side outside the vehicle. This communication method is a wireless method in order to communicate with the management server in the traveling vehicle. As an example of communication, a personal ID of a person recognized by the sensor 71 is transmitted to the management server, and information such as a preference temperature corresponding to the transmitted personal ID is received from the management server.

  The display 73 displays thermal information such as the temperature and airflow in each vehicle.

  The operation of the fourth embodiment of the present invention will be described. When a person enters the vehicle and transmits a personal ID from the portable terminal to the personal ID input means 3 of the air conditioner 70 via the local network, for example, the sensor 71 is activated to acquire the image data of the person and the temperature in the vehicle. .

  Next, the sensible temperature calculation means 6 of the air conditioner 70 calculates the sensible temperature of the person based on the acquired image data and the in-vehicle temperature. The air conditioner 70 transmits a personal ID to the management server via the Internet communication device 72 and receives a preference temperature corresponding to the personal ID. The air conditioner 70 performs air-conditioning control so that the person's sensible temperature approaches the preference temperature, and displays thermal information according to the air-conditioning control on the display 73.

  In addition, since several persons go in and out in a vehicle, the air conditioner 70 will perform air-conditioning control based on personal ID of each person who goes in and out.

  As described above, according to the fourth embodiment of the present invention, the air conditioning control based on the sensed temperature of the person is performed even in the moving vehicle, so that the comfortable temperature of the person can be obtained. Moreover, since the temperature information of each vehicle is displayed on the display, a person who wants to get on the vehicle can select a vehicle having a temperature that the user likes.

DESCRIPTION OF SYMBOLS 1 Image sensor 2 Temperature sensor 3 Personal ID input means 4 Temperature input means 5 Image input means 6 Temperature sensing means 7 Preference temperature storage means 8 Control signal generation means 9 Operation control means 10 1st communication processing means 11 2nd communication Processing means 12 Preference temperature acquisition means 50 A node 50 representing a person's perceived temperature 50-A A node 51 representing a person's activity amount and a person's perceived temperature 51 A thermal resistance between nodes representing a person's clothing thermal resistance 52 Representing node 52-A A node representing a temporal change pattern of the amount of heat input to the air conditioner and a room temperature 53 Outdoor temperature 54 Thermal resistance of a wall of a room 55 Thermal capacity of a person 56 Thermal capacity of a room 61 Clothing heat resistance calculation unit 62 Activity amount calculation Unit 63, 63-A Processing calculation unit 64 Heat capacity calculation unit 70 Air conditioner 71 Sensor 72 Internet communication device 73 Ray 100,100A~100N air conditioner 200 processor 300 management server

Claims (4)

Sensible temperature calculating means for calculating a sensible temperature of a person included in the image data from image data obtained by photographing a room and the temperature of the room;
The sensible temperature of the person which is calculated by the sensible temperature computing means, and a air conditioning control means for the air-conditioning control as close to the preference temperature preset the person, the sensible temperature computing means,
A clothing thermal resistance calculation unit for calculating thermal resistance of a person's clothing included in the image data;
An activity amount calculator for calculating an activity amount of a person included in the image data;
A heat capacity calculator that calculates the heat capacity of a person included in the image data;
From the clothing thermal resistance of the person which is calculated by the clothing thermal resistance calculating section, and the activity amount calculated by the activity amount calculation unit, and the thermal capacity of the person which is calculated by the heat capacity calculating portion, and the temperature of the indoor An air conditioner comprising: a processing operation unit that calculates a temporal change in the temperature of the sensible temperature. Photographing means for photographing the room;
The air conditioner according to claim 1, further comprising temperature detecting means for detecting the temperature in the room. A personal ID input means for inputting a personal ID for identifying a person;
A preference temperature storage means for storing the personal ID and the preference temperature in association with each other;
The air conditioning control unit, according to claim 1 or claim, characterized in that the selected air-conditioning control the preference temperature of the person corresponding to the personal ID input to the personal ID input unit from the preference temperature storage means 2. The air conditioner according to 2 . An air conditioning control system comprising a plurality of air conditioners and a management server connected to the plurality of air conditioners via a network,
The air conditioner
Sensible temperature calculating means for calculating a sensible temperature of a person included in the image data from image data obtained by photographing a room and the temperature of the room;
A personal ID input means for inputting a personal ID for identifying a person;
First communication processing means for transmitting the personal ID input to the personal ID input means to the management server;
Air conditioning control means for controlling the air conditioning so as to approach the preferred temperature transmitted from the management server ,
The management server
Preference temperature storage means for storing a plurality of personal IDs and a person's preference temperature in association with each other;
Receiving the personal ID from the first communication processing unit, comprising a second communication processing means for transmitting the preference temperature corresponding to the personal ID it receives to the first communication processing unit, and
The sensory temperature calculation means includes
A clothing thermal resistance calculation unit for calculating thermal resistance of a person's clothing included in the image data;
An activity amount calculator for calculating an activity amount of a person included in the image data;
A heat capacity calculator that calculates the heat capacity of a person included in the image data;
From the clothing thermal resistance of the person calculated by the clothing thermal resistance calculation unit, the activity amount calculated by the activity amount calculation unit, the heat capacity of the person calculated by the heat capacity calculation unit, and the indoor temperature The air-conditioning control system which has a process calculating part which calculates the time change of the said sensory temperature .

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