WO2015118739A1

WO2015118739A1 - Air conditioning control device, air conditioning control system, air conditioning control method, and program

Info

Publication number: WO2015118739A1
Application number: PCT/JP2014/079442
Authority: WO
Inventors: 和人久保田; 酢山　明弘; 明弘長岩; 清高松江; 恭介片山; 卓久和田; 博司平
Original assignee: 株式会社東芝
Priority date: 2014-02-07
Filing date: 2014-11-06
Publication date: 2015-08-13
Also published as: JP2015148410A

Abstract

This embodiment of an air conditioning control device has an input unit, a temperature acquisition unit, an estimation unit, and a calculation unit. The input unit receives an input of a target temperature and information of a position within a building. The temperature acquisition unit acquires information regarding a temperature measured within the building. On the basis of structure data of the building and the temperature information acquired by the temperature acquisition unit, the estimation unit estimates the change over time of the temperature for each divided space resulting from dividing the space within the building, and outputs the estimation results. The calculation unit extracts from the estimation results the temperature of the divided space corresponding to the information of the position within the building received by the input unit, and calculates an air conditioning control amount on the basis of the target temperature and the extracted temperature.

Description

Air conditioning control device, air conditioning control system, air conditioning control method, and program

Embodiments of the present invention relate to an air conditioning control device, an air conditioning control system, an air conditioning control method, and a program.

Conventionally, an air conditioner performs temperature control by feedback control that reduces a difference between a target temperature set by a user and a temperature measurement value measured by a temperature sensor provided in the air conditioner or the like. However, the temperature measurement value measured by the temperature sensor is the temperature at the location where the temperature sensor is installed, and does not necessarily indicate the temperature at the location where the user exists. Therefore, it may be difficult to control the temperature of a desired place such as a place where the user actually exists so as to be a desired target temperature.

JP 2013-2671 A

The problem to be solved by the present invention is to provide an air-conditioning control device, an air-conditioning control system, an air-conditioning control method, and a program capable of performing control so that the temperature of a specified place becomes a desired temperature.

The air conditioning control device of the embodiment includes an input unit, a temperature acquisition unit, an estimation unit, and a calculation unit. The input unit receives input of position information in the building and a target temperature. A temperature acquisition part acquires the information of the measured temperature in the said building. The estimation unit estimates a temporal change in temperature for each divided space obtained by dividing the space in the building based on the structure data of the building and the temperature information acquired by the temperature acquisition unit. Output. The calculation unit extracts a temperature of the divided space corresponding to the position information in the building received by the input unit from the estimation result, and calculates an air conditioning control amount based on the extracted temperature and the target temperature. To do.

The block diagram which shows an example of a structure of the air-conditioning control apparatus of 1st Embodiment. The figure which shows an example of the user interface of the air-conditioning control apparatus of 1st Embodiment. The figure which shows an example of the relationship between the temperature difference of 1st Embodiment, and an air-conditioning control amount. The figure which shows an example of a structure of the air conditioner of 1st Embodiment. The figure which shows an example of the hardware constitutions of the air-conditioning control apparatus of 1st Embodiment. The figure which shows an example of the processing flow of CFD of 1st Embodiment. The figure which shows an example of the processing flow of the air-conditioning control by the air-conditioning control apparatus of 1st Embodiment. The figure which shows an example of the cross section of the building of 2nd Embodiment. The figure which shows an example of the normal distribution of the boundary conditions of 3rd Embodiment. The figure which shows an example of the flow of the selection process of the simulation case using the particle filter of 3rd Embodiment. The block diagram which shows an example of a structure of the air-conditioning control system of 4th Embodiment. The block diagram which shows an example of a structure of the air-conditioning control system of 5th Embodiment. The figure which shows an example of the parallelization method of the process in 5th Embodiment. The figure which shows the other example of the parallelization method of the process in 5th Embodiment. The block diagram which shows an example of a structure of the air-conditioning control apparatus 1 of 6th Embodiment. The figure which shows an example of the three-dimensional model which the visualization part in 6th Embodiment output.

Hereinafter, an air conditioning control device, an air conditioning control system, an air conditioning control method, and a program according to embodiments will be described with reference to the drawings.

(First embodiment)
A first embodiment will be described with reference to the drawings.
FIG. 1 is a block diagram illustrating an example of the configuration of the air conditioning control device 1 according to the first embodiment. The air conditioning control device 1 includes an input / output unit 5, a temperature setting unit 10, a position setting unit 11, a room temperature extraction unit 12, a comparison unit 13, a temperature adjustment unit 14, a thermal factor acquisition unit 15, and a temperature acquisition. Unit 16, room temperature distribution estimation unit 17, and storage unit 18. The air conditioning control device 1 is configured by a computer including a CPU and a memory. At least a part of the temperature setting unit 10 to the room temperature distribution estimation unit 17 in FIG. 1 is a function provided when the CPU of the air conditioning control device 1 reads and executes a program from a storage unit such as a hard disk. Some or all of these functions may be hardware such as a microcomputer, LSI (Large Scale Integration), and ASIC (Application Specific Integrated Circuit).

The input / output unit 5 includes an input device such as a mouse, a keyboard, and a touch panel, and a display device such as a liquid crystal display. The input / output unit 5 accepts input of position information in the building and a target temperature by the user. The input / output unit 5 displays various images generated in the air conditioning control device 1.
The temperature setting unit 10 acquires the user-desired temperature (target temperature) set by the user from the input / output unit 5.
The position setting unit 11 acquires, from the input / output unit 5, information on the position of the place (target position) that should be controlled to the target temperature set by the user.

The interface for the user to input the target temperature and the target position will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of a user interface of the air conditioning control device 1. The interface illustrated in FIG. 2 is displayed on, for example, a touch panel screen (input / output unit 5) included in the air conditioning control device 1. An interface image 201 displayed on the right side of FIG. 2 is a temperature setting user interface image. In the display column 201A, the target temperature set by the user is displayed. When the user presses the button 201B, the target temperature displayed in the display column 201A decreases, and when the user presses the button 201C, the target temperature increases. When the user sets the target temperature, the touch panel screen (input / output unit 5) accepts the input and outputs the target temperature to the temperature setting unit 10. When the user presses the button 201D, the temperature control by the air conditioning control device 1 is started, and when the user presses the button 201E, the temperature control is stopped.

The interface image 202 displayed on the left side of FIG. 2 is a user interface image for setting a target position. If the user refers to the floor plan of the interface image 202 and designates, for example, the position indicated by reference numeral 203 by a touch operation or the like, for example, a circle centered on the touched point is displayed in a color different from other regions. The area indicated by this circle indicates the target position. The size of the circle may be changed by a user pinch-in, pinch-out operation, or the like according to the accuracy with which temperature control is possible. In FIG. 2,

reference numerals

204 and 205 denote interfaces (height designation switches) for designating the height of the target position. For example, when the user taps a position corresponding to 1.5 m on the height designation switch 205, an arrow 206 is displayed, and the height of the target position is set to 1.5 m. When the touch panel screen (input / output unit 5) receives these inputs, the coordinate information of the position touched by the user and the height information specified by the user are output to the position setting unit 11. The position setting unit 11 calculates a target position in the building from the acquired coordinate information in consideration of the correspondence between the floor plan information displayed on the interface image 202 and the position information in the building.

Returning to FIG. 1, the description of the function unit will be continued.
The room temperature extraction unit 12 extracts the estimated temperature value at the target position acquired by the position setting unit 11 from the estimated temperature value for each location in the building calculated by the later-described room temperature distribution estimation unit 17.
The comparison unit 13 compares the target temperature acquired by the temperature setting unit 10 with the estimated temperature value at the target position extracted by the room temperature extraction unit 12, and calculates the difference between them. The comparison unit 13 outputs the calculated temperature difference to the temperature adjustment unit 14.

The temperature adjustment unit 14 acquires a temperature difference from the comparison unit 13 and determines an air conditioning control amount based on the acquired difference. The temperature adjustment unit 14 outputs the determined air conditioning control amount to the air conditioner 40. The air conditioner 40 performs air conditioning on the building by performing an operation based on the acquired air conditioning control amount. Next, an example of the operation of the temperature adjustment unit 14 and the air conditioner 40 will be described with reference to FIGS.

FIG. 3 is a diagram showing an example of the relationship between the temperature difference and the air conditioning control amount. The horizontal axis in FIG. 3 indicates the temperature difference, and the vertical axis indicates the air conditioning control amount corresponding to the temperature difference. The air conditioning control amount is set to a value of air conditioning intensity proportional to the temperature difference, for example. When the room temperature is higher than the set temperature during cooling, the air conditioning control amount is set to a positive value proportional to the difference, and the room temperature is lower than the set temperature. Sometimes it is set to zero. The reverse is true for heating, and is set to 0 when the room temperature is higher than the set temperature, and set to a positive value proportional to the difference when the room temperature is lower than the set temperature. These are setting methods based on so-called proportional control, but PI (Proportional Integral) control and PID (Proportional Integral Derivative) control may be applied to this part of control. When determining the air conditioning control amount by proportional control, for example, the storage unit 18 included in the air conditioning control device 1 stores a table that defines the correlation between the temperature difference and the air conditioning control amount. The temperature adjustment unit 14 searches the table using the temperature difference acquired from the comparison unit 13 to determine the air conditioning control amount.

FIG. 4 is a diagram illustrating an example of the configuration of the air conditioner 40. The air conditioner 40 includes a heat exchanger (outdoor unit) 41, an expansion valve 42, a heat exchanger (indoor unit) 43, and a compressor 44. Liquid and gaseous thermal refrigerant circulates through these devices, and exhibits a cooling or heating function. For example, at the time of cooling, the liquid refrigerant released from the heat in the heat exchanger (outdoor unit) 41 is reduced in pressure through the expansion valve 42 and vaporized in the heat exchanger (indoor unit) 43 to take away the heat in the room. The vaporized refrigerant returns to a high-temperature liquid by the compressor 44, and heat is taken away by the heat exchanger (outdoor unit) 41. It is the operation of the compressor 44 that determines the strength of the air conditioning, and the cooling and heating capabilities change according to the air conditioning control amount determined by the temperature adjustment unit 14.

Returning to FIG. 1, description of each functional unit of the air conditioning control device 1 will be continued.
The thermal factor acquisition unit 15 acquires factors (thermal factor information) that affect the temperature in the building from various sensors. In the thermal factor information, there are thermal external factors such as the external temperature and the amount of heat due to solar radiation, and thermal internal factors such as the amount of heat generated by home appliances and people existing in the building. The thermal factor acquisition unit 15 acquires an external factor of temperature from the temperature sensor (outdoor) 101 and the pyranometer 102 provided outdoors. The thermal factor acquisition unit 15 may calculate the amount of heat by solar radiation by calculation from the calorific value of a PV (Photovoltaics) panel instead of the solar radiation meter 102. The thermal factor acquisition unit 15 acquires the calorific value of the home appliances 104 installed in the building from a calorimeter provided in each home appliance 104 or the like. Alternatively, the user may manually set the rated power consumption of each home appliance 104 in advance. In addition, when the presence of a person is detected by the human sensor 103 provided in the building, the thermal factor acquisition unit 15 may convert the amount of heat as, for example, 100 W per person and acquire the amount of heat generated by a person in the building. .

The temperature acquisition part 16 acquires the information of the temperature measured by the air conditioner 40 or the temperature sensor (indoor) 100 (temperature measurement part) attached in the building.
The room temperature distribution estimation unit 17 calculates the change in temperature for each space in the building by simulation based on the building structure data, the temperature information acquired by the temperature acquisition unit 16, the thermal external factor, and the thermal internal factor. To do.
The storage unit 18 stores various data such as specific data of the building wall, for example, the building structure data such as CAD data and the simulation of the room temperature distribution estimation unit 17.

FIG. 5 is a diagram illustrating an example of a hardware configuration of the air conditioning control device 1. The air conditioning control device 1 includes an interface 1A, a CPU 1B, a memory 1C, a hard disk 1D, and an input / output unit 5. Each component is connected via a bus. The interface 1A is connected to the temperature sensor (indoor) 100, the home appliance 104, and the like. The CPU 1B reads and executes a program stored in the memory 1C or the hard disk 1D. For example, the calculation program constituting the room temperature distribution estimation unit 17 is stored in the hard disk 1D, expanded in the memory 1C at the time of execution, and then executed by the CPU 1B according to the procedure. The input / output unit 5 is an input device such as a mouse, a keyboard, and a touch panel, and a display device such as a liquid crystal display. The memory 1C and the hard disk 1D correspond to the storage unit 18 in FIG.

Next, an example of a simulation method used by the room temperature distribution estimation unit 17 to estimate a temporal change in temperature for each divided space obtained by dividing the space in the building will be described with reference to FIG. The room temperature distribution estimation unit 17 estimates a temporal change in temperature for each divided space based on, for example, CFD (Computation Flow Dynamics). CFD is a simulation technique for calculating fluid movement.
FIG. 6 is an example of a CFD processing flow. First, the room temperature distribution estimation unit 17 creates a two-dimensional or three-dimensional building model using structural data such as CAD data of a building to be simulated (step S1). Next, the room temperature distribution estimation unit 17 divides the modeled building into, for example, a lattice shape, and according to the air pressure, temperature, air volume, calorific value of an object existing in the building, and wall material for each lattice. Initial conditions necessary for calculation, such as specific heat, are given (step S2). The divided space in the case of dividing the space in the building may not be a lattice shape. For example, the room temperature distribution estimation unit 17 may divide the space in the building into spaces having different sizes and shapes. The room temperature distribution estimator 17 gives the heat input from the walls of the house, the heat generated by a person or home appliance as a boundary condition, and considers the influence of the elements of the surrounding grid while taking into account the effects of the surrounding grid temperature and air volume on each grid. Are analyzed (step S3).

For example, the following calculation formula is used for the analysis.
∇v = 0 (1)
∂v / ∂t + (v · ∇) v = −∇p + (1 / Re) Δv + (Gr / Re2) Tk (2)
∂T / ∂t + (v∇) T = (1 / RePr) ΔT (3)
v is a three-dimensional velocity vector, t is time, p is pressure, Re is Reynolds number, k is a unit vector in the vertical direction, Gr is Grashof number, T is temperature, and Pr is Prandtl number. Equation (1) is a continuous equation representing mass conservation of fluid. Equation (2) is an incompressible Navier-Stokes equation corresponding to the momentum conservation equation. Equation (3) is an advection diffusion equation representing the movement and diffusion of air in a building. In CFD, simultaneous equations using these equations are solved to calculate the amount of heat of the gas flowing into each lattice, and the temperature, air volume, wind direction, etc. in each lattice after a unit time are calculated.

FIG. 7 is an example of a processing flow of air conditioning control by the air conditioning control device 1. The processing of the first embodiment will be described with reference to FIG.
As a preparatory stage before actually starting the air conditioning control, an initializing process for matching the initial value used for the simulation calculation with the actual environment is performed (steps S1 to S5). First, as described with reference to FIG. 6, the room temperature distribution estimation unit 17 reads out the building structure data from the storage unit 18 to create a model, and creates lattice data, for example, in a lattice form. The room temperature distribution estimation unit 17 reads the initial value given to each grid from the storage unit 18 and sets the initial conditions for the simulation (step S1). Next, the thermal factor acquisition unit 15 acquires the amount of heat generated by solar radiation and the generation amount of the home appliance 104 and the person, and outputs the acquired amount to the room temperature distribution estimation unit 17 (step S2). The room temperature distribution estimation unit 17 sets these values as estimation parameters (boundary conditions) in CFD. Next, the room temperature distribution estimation unit 17 performs simulation by CFD (step S3). Next, the room temperature distribution estimation unit 17 compares the temperature measurement value acquired from the temperature acquisition unit 16 with the temperature estimation value of the divided space corresponding to the target position in the simulation result (step S4). When the difference between the measured temperature value and the estimated temperature value does not fall within the allowable range (step S5 = No), the room temperature distribution estimation unit 17 changes the initial value by a predetermined method, and the difference is within the allowable range. The process from step S2 is repeated until If the difference is within the allowable range, the room temperature distribution estimation unit 17 determines that the preparation for air conditioning control has been completed (step S5 = Yes), and proceeds to the next step S6.

Hereafter, air conditioning control is performed using the initial values used for the last simulation of the initialization process. First, the temperature setting unit 10 acquires the target temperature from the input / output unit 5 and outputs the target temperature to the comparison unit 13. The position setting unit 11 acquires information indicating the target position from the input / output unit 5, converts the information into position information in the building, and outputs the information to the room temperature extraction unit 12 (step S6). Thereby, the target temperature and the target position are acquired. Next, the thermal factor acquisition part 15 acquires a thermal internal factor and a thermal external factor similarly to step S2, and outputs it to the room temperature distribution estimation part 17 (step S7). Thereby, a thermal factor is set. The temperature acquisition unit 16 outputs the acquired room temperature to the room temperature distribution estimation unit 17. The room temperature distribution estimation unit 17 performs a simulation by the CFD method using the initial value determined in step S5, the estimation parameter acquired in step S7, equations (1) to (3), and the like (step S8). The room temperature distribution estimation unit 17 outputs information including the temperature, the air volume, and the wind direction in each grid, which is a simulation result, to the room temperature extraction unit 12. The room temperature extraction unit 12 specifies a divided space (lattice) corresponding to the target position from the simulation result based on the target position acquired from the position setting unit 11. The room temperature extraction unit 12 acquires temperature information (temperature estimation value) in the specified grid and outputs the temperature information to the comparison unit 13.

The comparison unit 13 determines whether or not the difference between the target temperature acquired from the temperature setting unit 10 and the estimated temperature value acquired from the room temperature extraction unit 12 is within an allowable range (step S9). When the difference between the measured temperature value and the estimated temperature value does not fall within the allowable range (step S9 = No), the comparison unit 13 outputs the temperature difference to the temperature adjustment unit 14. The temperature adjustment unit 14 determines the air conditioning control amount for the air conditioner 40 from the temperature difference and outputs the air conditioning control amount to the air conditioner 40 (step S10). The air conditioner 40 changes operating conditions such as the air-conditioning blowout temperature and the blowout amount based on the acquired air-conditioning control amount. This changes the temperature distribution of the building. If the difference is within the allowable range, the air conditioning control is regarded as being smooth (step S9 = Yes), and the process proceeds to step S11. In step S11, it is determined whether or not there is an end operation by the user. When the air conditioning control device 1 accepts an end operation (step S11 = Yes), this processing flow ends. When the end operation has not been received (step S11 = No), the processing from step S7 is repeated every predetermined time. That is, the temperature acquisition unit 16 collects temperature information of the position where the temperature sensor (indoor) 100 is installed. The thermal factor acquisition unit 15 acquires thermal external factors such as the outside air temperature and solar radiation that change from moment to moment, and thermal internal factors such as heat generated by home appliances and people. The room temperature distribution estimation unit 17 calculates the temperature distribution of the building space at predetermined time intervals, taking those thermal factor information into account as boundary conditions. The room temperature extraction unit 12 outputs a temperature estimation value corresponding to the target position designated by the user to the comparison unit 13 in the temperature distribution, and the temperature adjustment unit 14 performs air conditioning so that the temperature estimation value approaches the target temperature. Take control.

As described above, the air conditioning control device 1 according to the first embodiment calculates the temperature distribution in the building by simulation, and feedback of the air conditioner 40 based on the calculated temperature predicted value at each position and the temperature desired by the user. Control can be performed. Accordingly, even in a place where the temperature sensor (indoor) 100 is not attached, it is possible to estimate the temperature at that position and control the desired position to the desired temperature. Therefore, the air conditioning control device 1 according to the first embodiment can perform control so that the temperature of the designated place becomes a desired temperature. When feedback control of the air conditioner 40 is performed according to the temperature distribution in the building calculated by simulation based only on the initial value, the passage of time depends on the solar radiation situation at that time and the number of people existing in the building. At the same time, an error occurs. In this regard, according to the first embodiment, the feedback control and the simulation that incorporates the parameters such as the thermal factor information at the time are linked, so that the air conditioner 40 is based on the simulation result that matches the actual environment. Control can be performed. As a result, the temperature at the target position can be controlled to a desired temperature more accurately.
Each unit constituting the air conditioning control device can be mounted on hardware such as the same PC. There may be a plurality of air conditioning sensors, and not only temperature but also humidity and other information may be collected and used as simulation input.

(Second Embodiment)
A second embodiment will be described with reference to the drawings.
The position setting unit 11 according to the second embodiment does not acquire the target position from the user interface illustrated in FIG. 2, but acquires the position of the user detected by the human sensor provided in the building, The position is designated as the target position.
FIG. 8 is an example of a cross-sectional view of a building. In the second embodiment, the position where the user exists is detected using the human sensor 81 which is a detection unit that detects the presence of a person provided in the building. As the human sensor 81, an array type human sensor or a camera can be used. When an array type human sensor is used, a position where the user exists can be calculated from the reacted human sensor. When using a camera, it is possible to calculate the position where the user exists by analyzing the captured image. The human sensor 81 is not limited to this, and may be any sensor that can grasp the position where the user exists.

According to the second embodiment, similarly to the first embodiment, it is possible to perform control so that the temperature of the designated place becomes a desired temperature. According to the second embodiment, it is not necessary for the user to specify the position where the user exists, and the temperature of the place where the user exists can be automatically controlled to a desired temperature.

(Third embodiment)
A third embodiment will be described with reference to the drawings.
In the first embodiment, only one case of CFD simulation is executed. However, in the method of executing only one case, there is a possibility that the estimated temperature value obtained by the simulation is different from the actual condition due to the input boundary condition and error. For example, the specific heat of the wall member given as the initial value varies depending on individual differences and climatic conditions. Or, as described above, the setting of 100W as the amount of heat generated by a person among the thermal internal factors may actually be a value different from 100W depending on the size of the person's body and the indoor activity status. Absent. In order to consider such a variation as a simulation condition, in the third embodiment, the room temperature distribution estimation unit 17 performs a simulation of a plurality of cases in parallel while using a value different from the other simulation cases for the boundary condition. And run. The room temperature distribution estimation unit 17 determines “different values” to be given to each simulation case, for example, according to a normal distribution. FIG. 9 is a diagram illustrating an example of a normal distribution of boundary conditions. The horizontal axis of FIG. 9 is the value of a certain boundary condition, and the vertical axis is the probability that the value of the boundary condition becomes each value indicated by the horizontal axis. The method for distributing the boundary condition values may be, for example, a method of selecting from the values such that the probability of the normal distribution centered on the initial value is a predetermined value or more. The room temperature distribution estimation unit 17 performs a plurality of simulations using the boundary conditions thus determined in step S8 of FIG. Next, the room temperature distribution estimation part 17 acquires the temperature estimated value in the grating | lattice corresponding to the position where the temperature sensor (indoor) 100 is provided from each simulation result. The room temperature distribution estimation unit 17 compares, for example, the temperature measurement value acquired from the temperature acquisition unit 16 with the temperature estimation value by each simulation, and selects the temperature distribution estimation result by simulation that calculates the result closest to the temperature measurement value. And you may perform the process after step S9 of FIG.

As a modification of the third embodiment, the following may be further performed. A modification of the third embodiment will be described with reference to FIG. FIG. 10 is an example of a flow diagram of a simulation case selection process using a particle filter. First, the room temperature distribution estimation unit 17 performs a plurality of simulation cases (step S21). Next, the room temperature distribution estimation unit 17 calculates a likelihood using a predetermined likelihood function when comparing the estimation results obtained by a plurality of simulations with the measured temperature information (step S22). The room temperature distribution estimation unit 17 leaves only the simulation case with a high likelihood, and discards the simulation case with a low likelihood (step S23). The room temperature distribution estimation unit 17 generates new simulation cases for the number of simulation cases discarded, and repeats the same selection. In this way, the room temperature distribution estimation unit 17 hesitates only a simulation case with a high likelihood. The setting of boundary conditions when the room temperature distribution estimation unit 17 newly generates a simulation case may be arbitrary. For example, the room temperature distribution estimation unit 17 may generate two new simulation cases by selecting two cases from the remaining simulation cases and combining the values of the boundary conditions used in the cases. This process is a so-called particle filter process. By this processing, simulation cases close to actual measurement remain with high probability, and those with low cases are deceived, and the accuracy of simulation can be improved. When the room temperature distribution estimation unit 17 calculates the temperature distribution, the temperature distribution may be calculated by weighting a plurality of simulation results with likelihood.

According to the third embodiment, in addition to the same effects as those of the first embodiment, the temperature control by the air conditioner 40 can be performed more accurately by making the simulation result closer to reality.

(Fourth embodiment)
A fourth embodiment will be described with reference to the drawings.
FIG. 11 is a block diagram illustrating an example of a configuration of an air conditioning control system according to the fourth embodiment. In the fourth embodiment, the room temperature distribution estimation unit 17 that performs the simulation is arranged in a separate device (simulation device 200) from the air conditioning control device 1 via the network NW. The network NW includes, for example, various networks such as the Internet and a LAN. Each of the air conditioning control device 1 and the simulation device 200 includes hardware such as a network card for connecting to the network NW. The air conditioning control device 1 will be described. The air conditioning control device 1 includes a simulation request unit 21. The simulation request unit 21 transmits initial values, boundary conditions, temperature information acquired by the temperature acquisition unit 16, and the like to the plurality of simulation apparatuses 200 to request execution of the simulation. Moreover, the simulation request | requirement part 21 acquires a simulation result from a simulation apparatus. The air conditioning control device 1 does not include the room temperature distribution estimation unit 17. Other configurations are the same as those of the first embodiment.

Next, the simulation apparatus 200 will be described. The simulation apparatus 200 includes a simulation request receiving unit 22. The simulation request receiving unit 22 receives a boundary condition and a simulation execution request from the air conditioning control device 1 and instructs the room temperature distribution estimation unit 17 to execute the simulation. When the simulation is completed, the room temperature distribution estimation unit 17 records the simulation result in the storage unit 18. The simulation request receiving unit 22 reads out the simulation result from the storage unit 18 and transmits it to the air conditioning control device 1.

As a modification of the fourth embodiment, the following may be further performed. The simulation requesting unit 21 of the air conditioning control device 1 acquires information indicating the divided space corresponding to the target position from the room temperature extracting unit 12. The simulation request unit 21 transmits information indicating the divided space from the room temperature extraction unit 12 to the simulation request receiving unit 22 in addition to the boundary condition and the simulation execution request, and only the temperature information of the divided space corresponding to the target position Request.

According to the fourth embodiment, for example, by causing the simulation apparatus 200 on the cloud to perform processing of the room temperature distribution estimation unit 17 that requires high processing capacity, for example, air conditioning control installed in each home The processing load on the apparatus 1 can be reduced.

(Fifth embodiment)
A fifth embodiment will be described with reference to the drawings.
FIG. 12 is a block diagram illustrating an example of a configuration of an air conditioning control system according to the fifth embodiment. In the air conditioning control system of the fifth embodiment, a plurality of simulation apparatuses 200 are provided. In the air conditioning control system illustrated in FIG. 12, two simulation devices 200 (200A and 200B) are provided, but a larger number of simulation devices may be provided. About the structure of the air-conditioning control apparatus 1 in this 5th Embodiment, and the simulation apparatus 200, it is the same as 4th Embodiment. In the fifth embodiment, the simulation request unit 21 causes the simulation request reception unit 22 included in the plurality of simulation apparatuses 200 to perform simulation processing under different conditions in parallel, thereby increasing the processing speed. . Next, a method of assigning execution of simulation processing to a plurality of simulation apparatuses 200 and parallelizing the processing will be described with reference to FIGS.

FIG. 13 is a diagram illustrating an example of a parallel processing method. Hereinafter, a method of parallelizing the processes shown in FIG. 13 will be described. First, the simulation request unit 21 reads data related to the spatial model stored in the storage unit 18. In the data related to this spatial model, a spatial model created by dividing the grid into a grid by the CFD method is divided into four parts, which are defined as regions A, B, C, and D, respectively. Next, the simulation request unit 21 assigns the simulation for the area A to the simulation apparatus 200A, and similarly assigns the area B to the simulation apparatus 200B, the area C to the simulation apparatus 200C, and the area D to the simulation apparatus 200D. In this way, by distributing each region and causing each simulation apparatus 200 to perform processing, the amount of calculation burdened by each simulation apparatus 200 can be reduced, and the entire simulation process can be speeded up. In this example, the mutually different conditions that the simulation requesting unit 21 requests from each of the simulation request receiving units 22 is that the regions to be simulated are different regions.
FIG. 14 is a diagram illustrating another example of a parallel processing method. The technique illustrated in FIG. 14 is a technique in which the simulation request unit 21 assigns and executes a process to each simulation apparatus 200 for each of several simulation cases. In FIG. 14, simulation of 20 cases is performed, and the simulation requesting unit 21 groups 5 groups and assigns them to the simulation apparatuses 200A to 200D. In the method of FIG. 14 as well, the amount of calculation burdened by each simulation apparatus 200 can be reduced and the simulation process can be speeded up. In this example, the mutually different conditions that the simulation requesting unit 21 requests from each of the simulation request receiving units 22 is that the simulation target is a different simulation case.

For example, the processing after the processing by the plurality of simulation apparatuses 200 is performed as follows. The configuration of FIG. 12 will be described as an example. As a premise, it is assumed that the simulation performed by each device in the

simulation devices

200A and 200B has been completed. The simulation request receiving unit 22B of the simulation apparatus 200B reads the simulation result from the storage unit 18B and transmits the simulation result to the simulation apparatus 200A. In the simulation apparatus 200A, the simulation request receiving unit 22A receives the information and records it in the storage unit 18A. The room temperature distribution estimation unit 17A reads the results of the processing performed by the

simulation devices

200A and 200B from the storage unit 18A, and compares the temperature information acquired from the air conditioning control device 1 with those values. For example, the room temperature distribution estimation unit 17A selects a result indicating a value closer to the acquired temperature information and outputs the result to the simulation request reception unit 22A. The simulation request receiving unit 22A transmits the result to the air conditioning control device 1. In the air conditioning control device 1, the simulation requesting unit 21 can acquire the temperature distribution that best matches the reality among the simulation results executed by the plurality of simulation devices. The air-conditioning control device 1 executes the subsequent process.

According to the fifth embodiment, in addition to the same effects as those of the first embodiment, it is possible to obtain a highly accurate simulation result by speeding up the simulation process. As a result, highly accurate air conditioning control is possible.
In the above example, the simulation is executed only on the simulation device 200. However, the air conditioning control device 1 further includes the room temperature distribution estimation unit 17, and the air conditioning control device 1 is also configured to execute the simulation. May be.

(Sixth embodiment)
A sixth embodiment will be described with reference to the drawings.
FIG. 15 is a block diagram showing an example of the configuration of the air conditioning control device 1 according to the sixth embodiment. The air conditioning control device 1 according to the sixth embodiment includes a visualization unit 23. The visualization unit 23 generates an image in which the temperature distribution and the wind speed distribution calculated by the room temperature distribution estimation unit 17 are associated with building structure data such as a two-dimensional cross section and a three-dimensional model, and displays the image on the input / output unit 5. Other configurations are the same as those in the first embodiment.
FIG. 16 shows an example of a three-dimensional model output by the visualization unit 23. The shades in FIG. 16 indicate the temperature distribution, indicating that the temperature at the bottom of the building space is low and the temperature at the top is high. The lower right diagram in FIG. 16 is an enlarged view of the portion 70. As shown in FIG. 16, the visualization unit 23 may display the wind direction with an arrow and display the strength of the air volume with the length of the arrow line.

According to the sixth embodiment, in addition to the same effects as those of the first embodiment, it is possible to induce energy-saving behavior for the user and to show the basis for temperature control.

According to at least one embodiment described above, the temporal change in temperature for each divided space obtained by dividing the space in the building is estimated based on the building structure data and the temperature information acquired by the temperature acquisition unit. By extracting the temperature of the divided space corresponding to the position information in the specified building from the estimation result, and having the function of calculating the air conditioning control amount based on the extracted temperature and the specified target temperature , It is possible to control so that the temperature of the designated place becomes a desired temperature.

The input / output unit 5 is an example of an input unit. The room temperature distribution estimation unit 17 is an example of an estimation unit. The room temperature extraction unit 12 and the temperature adjustment unit 14 are examples of a calculation unit. The simulation request unit 21 is an example of a request unit. The simulation request receiving unit 22 is an example of a receiving unit.

Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

Claims

An input unit for receiving information on the position in the building and the target temperature;
A temperature acquisition unit for acquiring information of the measured temperature in the building;
An estimation unit that estimates a temporal change in temperature for each divided space obtained by dividing the space in the building based on the structure data of the building and the temperature information acquired by the temperature acquisition unit, and outputs an estimation result When,
A calculation unit that extracts the temperature of the divided space corresponding to the position information in the building received by the input unit from the estimation result, and calculates an air conditioning control amount based on the extracted temperature and the target temperature; ,
An air conditioning control device.
The estimation unit compares a plurality of estimation results estimated using different estimation parameters with the temperature information acquired by the temperature acquisition unit, and calculates a value close to the temperature information acquired by the temperature acquisition unit. The air-conditioning control apparatus according to claim 1, which outputs an estimation result to be shown.
The air conditioning according to claim 1 or 2, wherein the estimation unit calculates likelihoods of a plurality of estimation results estimated using different estimation parameters, and stores an estimation parameter that yields the estimation result having the high likelihood. Control device.
The air conditioner control apparatus according to any one of claims 1 to 3, wherein the input unit inputs a position of a person detected by a detection unit that detects the presence of a person as position information in the building. .
The air conditioning control device according to any one of claims 1 to 4, further comprising a visualization unit that displays the temperature distribution and the wind speed distribution calculated by the estimation unit in association with the building structure data.
An input unit for receiving information on the position in the building and the target temperature;
A temperature acquisition unit for acquiring information of the measured temperature in the building;
A request unit for requesting temperature information for each divided space obtained by dividing the space in the building;
The temperature corresponding to the position information in the building received by the input unit is extracted from the temperature for each divided space acquired in response to the request, and the air conditioning control amount is based on the extracted temperature and the target temperature. A calculation unit for calculating
An air conditioning control device.
An input unit for receiving information on the position in the building and the target temperature;
A temperature acquisition unit for acquiring information of the measured temperature in the building;
Of the divided spaces obtained by dividing the space in the building, a request unit that requests information on the temperature of the divided space corresponding to the information on the position;
A calculation unit that calculates an air conditioning control amount based on the temperature for each divided space acquired in response to the request and the target temperature;
An air conditioning control device.
An input unit for receiving information on the position in the building and the target temperature;
A temperature acquisition unit for acquiring information of the measured temperature in the building;
A request unit for requesting temperature information for each divided space obtained by dividing the space in the building;
The temperature corresponding to the position information in the building received by the input unit is extracted from the temperature for each divided space acquired in response to the request, and the air conditioning control amount is based on the extracted temperature and the target temperature. A calculation unit for calculating
An air conditioning control device comprising:
A reception unit that receives a request for the temperature information;
In response to the received request, an estimation for estimating a time change of temperature for each divided space obtained by dividing the space in the building based on the structure data of the building and the temperature information acquired by the temperature acquisition unit And
An air conditioning control system comprising: a simulation device comprising:
The air conditioning control according to claim 8, comprising a plurality of the simulation devices, wherein the requesting unit requests the temperature information estimated under different conditions from each of the receiving units provided in the plurality of simulation devices. system.
Accepting information about location in the building and target temperature;
Obtaining measured temperature information in the building;
Based on the structure data of the building and the acquired temperature information, estimating a time change in temperature for each divided space obtained by dividing the space in the building, and outputting an estimation result;
Extracting the temperature of the divided space corresponding to the received position information in the building from the estimation result, and calculating an air conditioning control amount based on the extracted temperature and the target temperature;
Including an air conditioning control method.
In the computer of the air conditioning control device,
Accepting information about location in the building and target temperature;
Obtaining measured temperature information in the building;
Based on the structure data of the building and the acquired temperature information, estimating a time change in temperature for each divided space obtained by dividing the space in the building, and outputting an estimation result;
Extracting the temperature of the divided space corresponding to the received position information in the building from the estimation result, and calculating an air conditioning control amount based on the extracted temperature and the target temperature;
A program for running