Information processing device and program

Abstract

To easily estimate an air environment in an object space by using a model for predicting an environment with the desired arrangement of elements.SOLUTION: An information processing device includes a storage part for storing an element model created in each element that has an influence on an air environment of a space, and predicting an influence of the element on the air environment of the space, an arrangement acquisition part for acquiring information on the arrangement of each element provided in a prescribed object space, and an estimation part for estimating an air environment in the object space by using the information of the arrangement of each element acquired by the arrangement acquisition part, and the element model corresponding to the element stored in the storage part.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present disclosure relates to an information processing device and a program. [Background technology]

[0002] Patent document 1 describes an air conditioning heat source equipment optimal operation control device that determines an optimal operation plan for heat source equipment based on a thermal load prediction value and an air conditioning / heat source plant model that combines various physical models related to the air conditioning / heat source plant. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2002-206785 A Summary of the Invention [Problem to be solved by the invention]

[0004] For example, in a method such as CFD (computational fluid dynamics), conditions such as a heat source, an air conditioner, and a space are set, and the air environment in a target space is predicted. However, this method requires a lot of time each time a calculation is performed with different calculation conditions. Also, even in a conventional method using a physical model, it is not easy for a user to create a model according to a desired layout or arrangement of equipment.

[0005] The present disclosure aims to make it possible to easily estimate the air environment in a target space using a model that predicts the environment with a desired arrangement of elements. [Means for solving the problem]

[0006] The information processing device of the present disclosure is an information processing device that includes a memory unit that stores element models created for each element that affects the air environment of a space and predicts the impact of the element on the air environment of the space, an arrangement acquisition unit that acquires information on the arrangement of each of the elements provided in a specified target space, and an estimation unit that estimates the air environment in the target space using the information on the arrangement of each of the elements acquired by the arrangement acquisition unit and the element models corresponding to the elements stored in the memory unit.

[0007] According to this information processing device, it becomes possible to easily estimate the air environment in a target space by using a model that predicts the environment with a desired arrangement of elements.

[0008] The element model may be a model of an element that affects the air environment of the space. In this way, the air environment in a target space can be easily estimated using a model of the factors that affect the air environment in the space.

[0009] The air environment of the space may include at least one of the temperature, humidity, airflow, and carbon dioxide concentration of the space. In this way, you can arrange the elements as you like. At least one of temperature, humidity, airflow, and carbon dioxide concentration Using a model that predicts At least one of temperature, humidity, airflow, and carbon dioxide concentration It becomes easy to estimate.

[0010] The element model may include an air conditioner model for predicting the influence of an air conditioner installed in the space on the air environment of the space.

[0011] In this way, it becomes possible to easily estimate the air environment in a target space by using a model that predicts the environment with a desired arrangement of air conditioners.

[0012] The element model may include a heating element model for predicting the effect of a heating element present in the space on the air environment of the space.

[0013] In this way, it becomes possible to easily estimate the air environment in a target space by using a model that predicts the environment with a desired arrangement of heating elements.

[0014] The influence of the heating element on the air environment of the space may be an influence exerted by heat generated by the heating element.

[0015] In this way, it becomes possible to easily estimate the air environment in the target space while taking into account the effects of heat generated by the heating element.

[0016] The element model may include a non-heat-generating body model for predicting the influence of a non-heat-generating body present in the space on the air environment of the space.

[0017] In this way, it becomes possible to easily estimate the air environment in a target space by using a model that predicts the environment with a desired arrangement of non-heat-generating objects.

[0018] The element model may include an external environment model for predicting the influence of the external environment of the space on the air environment of the space.

[0019] In this way, it becomes possible to easily estimate the air environment in a target space using a model that predicts the effects of a desired external environment.

[0020] The element model may further include a first material model for predicting the effect of the external environment on the air environment of the space through a first material constituting the outer surface of the space.

[0021] In this way, it becomes possible to easily estimate the air environment in the target space by using a model that predicts the influence of the external environment on a desired arrangement of the first substance.

[0022] The element model may further include a second substance model for predicting the influence of a second substance, which controls the influence of the external environment through the first substance, on the air environment of the space.

[0023] In this way, it becomes possible to easily estimate the air environment in a target space by using a model that predicts the effect of the external environment through the first substance with a desired arrangement of the second substance.

[0024] The element model may further include a media model for predicting the effect of the external environment on the air environment of the space due to a medium that directly flows into the space.

[0025] In this way, it becomes possible to easily estimate the air environment in a target space by using a model that predicts the influence of the external environment in a desired medium state.

[0026] The element model may further include a second substance model for predicting the influence of a second substance that controls the influence of the external environment through the medium on the air environment of the space.

[0027] In this way, it becomes possible to easily estimate the air environment in the target space by using a model that predicts the effect of the external environment through a medium in a desired arrangement of the second substance.

[0028] The information processing device of the present disclosure may further include a target acquisition unit that acquires a target air environment of the space, and a control unit that controls the elements provided in the target space so as to reduce the difference between the air environment in the target space estimated by the estimation unit and the target air environment of the space acquired by the target acquisition unit.

[0029] In this way, the estimated air environment in the target space can be made closer to the target air environment.

[0030] The arrangement acquisition unit may acquire the arrangement information by accepting, on a screen, specification of a position of an object image corresponding to the element.

[0031] In this way, information on the arrangement of elements can be obtained by performing intuitive operations on the screen.

[0032] The arrangement acquisition unit may receive, on the screen, a specification of an orientation of the element in the target space.

[0033] In this way, the orientation of the element can be obtained by performing an operation on the screen.

[0034] The arrangement acquisition unit may acquire the arrangement information including information on a vertical and / or horizontal position of the element in the target space.

[0035] In this way, even if the position of the desired element is a vertical and / or horizontal position, the air environment in the target space can be easily estimated.

[0036] The estimation unit may estimate the air environment in the target space by using a plurality of element models in which mutual influences between the plurality of elements are taken into consideration.

[0037] In this way, the air environment in the target space can be easily estimated while taking into account the influences between multiple elements.

[0038] In addition, the program of the present disclosure is a program that enables a computer to realize the following functions: storing element models created for each element that affects the air environment of a space and predicting the impact of the element on the air environment of the space; acquiring information on the arrangement of each of the elements provided in a specified target space; and estimating the air environment in the target space using the acquired information on the arrangement of each of the elements and the element models corresponding to the elements.

[0039] By using a computer with this program installed, it becomes possible to easily estimate the air environment in a target space using a model that predicts the environment with a desired arrangement of elements. [Brief description of the drawings]

[0040] [Figure 1] 1 is a diagram showing an example of the overall configuration of an air environment control system to which the present embodiment is applied. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of an information processing device according to the present embodiment. [Diagram 3] 1 is a block diagram showing an example of a functional configuration of an information processing device according to an embodiment of the present invention; [Figure 4] 10 is a flowchart showing an example of the operation of the information processing device according to the present embodiment. [Diagram 5] FIG. 13 is a diagram showing an example of an input screen for inputting arrangement information acquired in the present embodiment. [Figure 6] FIG. 13 is a diagram showing an example of an input screen for inputting information on a target temperature acquired in the present embodiment. [Figure 7] 5A and 5B are diagrams showing an example of temperature information acquired in the present embodiment. [Figure 8] FIG. 4 is a diagram showing an example of the temperature of each section estimated in the present embodiment. [Figure 9] FIG. 4 is a diagram showing an example of control of an air conditioner using control parameters output in the present embodiment. [Figure 10] 13(a) and 13(b) are diagrams showing another example of an input screen for inputting arrangement information acquired in the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0041] Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

[0042] [Overall configuration of air environment control system] 1 is a diagram showing an example of the overall configuration of an air environment control system 10 to which the present embodiment is applied. The air environment control system 10 is a system that controls the air environment in a target space 100. There are various air environments in the target space 100, such as temperature, humidity, carbon dioxide concentration, oxygen concentration, airflow, and odor, but the following description will take temperature as an example. As shown in the figure, the air environment control system 10 includes an air conditioner 200, a control device 300, a temperature sensor 400, an input / output device 500, and an information processing device 600.

[0043] The target space 100 is a space that is the target of air environment control by the air environment control system 10. The target space 100 is a space surrounded by a wall 110, a door 120, a floor 130, and a ceiling (not shown). A window 140 is provided in the wall 110. Hereinafter, a material that constitutes the outer surface of the target space 100, such as the wall 110, the door 120, the floor 130, the ceiling (not shown), and the window 140, will be referred to as a first material. In addition, the target space 100 is provided with indoor units 210a to 210c and a remote controller 240 (hereinafter referred to as a "remote control") of an air conditioning device 200, which will be described later, a third temperature sensor 430 (an add-on sensor) which will be described later, and an input / output device 500 which will be described later. Furthermore, although not shown, the target space 100 is provided with fixtures that emit heat, such as lighting, computers, monitors, printers, etc. (hereinafter referred to as "heat-generating fixtures"), and fixtures that do not emit heat, such as desks, chairs, sofas, tables, rugs, etc. (hereinafter referred to as "non-heat-generating fixtures"). Furthermore, although not shown, the target space 100 is provided with materials, such as curtains, blinds, etc., that control the influence of the external environment, such as the temperature, humidity, amount of solar radiation, solar radiation angle, wind speed, wind pressure, etc., outside the target space 100. Hereinafter, the materials, such as curtains, blinds, etc., that control the influence of the external environment on the target space 100 will be referred to as second materials.

[0044] The air conditioner 200 is a device that conditions the air in the target space 100. The air conditioner 200 has indoor units 210a to 210c, an outdoor unit 220, piping 230, and a remote control 240. The indoor units 210a to 210c are installed in the target space 100, and absorb heat from the air in the target space 100 and discharge heat into the target space 100 by performing heat exchange between the refrigerant that has passed through the piping 230 and the air in the target space 100. The outdoor unit 220 is installed outside the target space 100, and discharges heat outside the target space 100 and absorbs heat from the air outside the target space 100 by performing heat exchange between the refrigerant that has passed through the piping 230 and the air outside the target space 100. The piping 230 is a pipe that connects the indoor units 210a to 210c and the outdoor unit 220, and the refrigerant passes through the inside of the pipe. The remote control 240 is a device for remotely operating the air conditioner 200. Although the figure shows indoor units 210a to 210c, they may be referred to as indoor units 210 when there is no need to distinguish between them. Although the figure shows three indoor units 210, one, two, or four or more indoor units 210 may be provided.

[0045] The control device 300 is a device that controls the air conditioning device 200 so that it operates based on set conditions.

[0046] The temperature sensor 400 is installed at a predetermined position in the target space 100 and measures the temperature at the predetermined position. The temperature sensor 400 includes first temperature sensors 410a to 410c, a second temperature sensor 420, and a third temperature sensor 430. The first temperature sensors 410a to 410c are temperature sensors provided in the indoor units 210a to 210c, respectively, and measure the intake temperature, which is the temperature of the air drawn into the indoor units 210a to 210c. The second temperature sensor 420 is a temperature sensor of the thermistor of the remote control 240, and measures the temperature of the air around the remote control 240. However, depending on the remote control 240, the second temperature sensor 420 may not be provided. The third temperature sensor 430 is a temperature sensor attached to the target space 100 afterwards, and measures the temperature of the air in the target space 100. However, the third temperature sensor 430 may not be attached.

[0047] The input / output device 500 is arranged, for example, in the target space 100, and accepts a user operation for inputting information on the arrangement of the indoor unit 210, the remote control 240, the third temperature sensor 430, the fixtures, the first material, the second material, and the like in the target space 100, and information on the gaps of the first material. The input / output device 500 also accepts a user operation for inputting a target temperature at each position in the target space 100. At that time, the input / output device 500 may output an image object representing the target space 100 and cause an icon to be arranged on the image object, thereby inputting information on the arrangement and the target temperature. The input / output device 500 may also cause an icon to be arranged in a desired orientation on the image object, thereby inputting information on the orientation. The input / output device 500 may be, for example, a touch panel.

[0048] The information processing device 600 creates a superposition model by superimposing pre-stored physical models for each element, based on information on the arrangement of each element, such as the indoor unit 210, fixtures, first material, and second material, in the target space 100. The information processing device 600 then estimates the temperature at each position in the target space 100 using the temperature measured by the temperature sensor 400 and this superposition model. Thereafter, the information processing device 600 controls the air conditioning device 200 so as to reduce the difference between the target temperature for each position input by the user and the estimated temperature for each position.

[0049] [Hardware configuration of information processing device] FIG. 2 is a diagram showing an example of a hardware configuration of an information processing device 600 according to the present embodiment. As shown in the figure, the information processing device 600 includes a central processing unit (CPU) 601 as a calculation means, a random access memory (RAM) 602 as a storage means, a read only memory (ROM) 603, and a storage device 604. The RAM 602 is a main storage device, and is used as a working memory when the CPU 601 performs calculation processing. The ROM 603 holds programs and data such as preset values, and the CPU 601 can read programs and data directly from the ROM 603 to execute processing. The storage device 604 is a storage means for programs and data. Programs are stored in the storage device 604, and the CPU 601 reads the programs stored in the storage device 604 into the main storage device and executes them. In addition, the results of processing by the CPU 601 are stored and saved in the storage device 604. For example, a magnetic disk device or a solid state drive (SSD) is used as the storage device 604.

[0050] [Functional configuration of information processing device] 3 is a block diagram showing an example of a functional configuration of an information processing device 600 according to this embodiment. As shown in the figure, the information processing device 600 according to this embodiment includes a storage unit 610, a configuration acquisition unit 620, a target acquisition unit 630, a temperature acquisition unit 640, an estimation unit 650, and an output unit 660.

[0051] The storage unit 610 stores a physical model of the elements that affect the air environment of the target space 100 (hereinafter referred to as the "element model"). of Here, the elements do not refer to components of air such as oxygen, carbon dioxide, and moisture in the target space 100, but to the indoor unit 210, fixtures, external environment, materials, and media described below. etc. It means.

[0052] The element may be, for example, the indoor unit 210 of the air conditioner 200. In this case, the element model is a physical model of the air conditioner 200 (hereinafter referred to as the "air conditioner model"). The air conditioner model is a model for predicting the effect that the air conditioner 200 has on the temperature at each position in the target space 100 when the indoor unit 210 of the air conditioner 200 is located at a specified position in the target space 100.

[0053] Furthermore, the element may be, for example, a fixture. The fixture may be a heat-generating fixture or a non-heat-generating fixture.

[0054] When the element is a heat-generating fixture, the element model is a physical model of the heat-generating fixture (hereinafter referred to as the "heat-generating fixture model"). The heat-generating fixture model is a model for predicting the effect that the heat-generating fixture will have on the temperature of each position in the target space 100 by blocking airflow or emitting heat when the heat-generating fixture is located at a specified position in the target space 100. It should be noted that not only heat-generating fixtures, but also animals such as humans and plants can affect the temperature of each position in the target space 100 by blocking airflow or emitting heat. Therefore, heat-generating fixtures can be considered more broadly as heat-generating bodies that emit heat, and physical models of animals and plants can be included in this. In that sense, the heat-generating fixture model is an example of a heat-generating body model for predicting the effect that a heat-generating body present in a space has on the air environment of the space.

[0055] When the element is a non-heat-generating fixture, the element model becomes a physical model of the non-heat-generating fixture (hereinafter referred to as the "non-heat-generating fixture model"). The non-heat-generating fixture model is a model for predicting the effect that a non-heat-generating fixture will have on the temperature at each position in the target space 100 by blocking the air flow when the non-heat-generating fixture is located at a specified position in the target space 100. Note that there are other things besides non-heat-generating fixtures that affect the temperature at each position in the target space 100 by blocking the air flow. Therefore, non-heat-generating fixtures can be considered more broadly as non-heat-generating bodies that do not emit heat. In that sense, the non-heat-generating fixture model is an example of a non-heat-generating body model for predicting the effect that a non-heat-generating body present in a space has on the air environment of the space.

[0056] Furthermore, the elements may be, for example, the external environment outside the target space 100, such as temperature, humidity, solar radiation amount, solar radiation angle, wind speed, and wind pressure. In this case, the element model is a physical model of the external environment (hereinafter, referred to as the "external environment model"). The external environment model is a model for predicting the effect that the external environment of the target space 100 has on the temperature at each position within the target space 100.

[0057] Furthermore, the element may be, for example, a first material such as a ceiling, a wall 110, a floor 130, or a window 140 that conducts, transmits, or radiates the external environment. In this case, the element model is a physical model of the first material (hereinafter, referred to as a "first material model"). The first material model is a model for predicting the effect of the external environment outside the target space 100 on the temperature at each position in the target space 100 via the first material when the first material is located at a specified position on the outer surface of the target space 100.

[0058] Furthermore, the element may be, for example, a medium such as a draft through which the external environment flows directly. In this case, the element model is a physical model of the medium (hereinafter referred to as the "medium model"). The medium model is a model for predicting the effect of the external environment outside the target space 100 on the temperature at each position within the target space 100 through the medium when a gap through which the medium flows directly is located at a specified position on the outer surface of the target space 100.

[0059] The element may be a second material such as a curtain or blind that controls the effect of the external environment through a medium flowing in directly or through the first material. In this case, the element model is a physical model of the second material (hereinafter referred to as the "second material model"). The second material model is a model for predicting the effect on the temperature at each position in the target space 100 by controlling the effect of the external environment through a medium flowing in directly or through the first material when the second material is located at a specified position in the target space 100.

[0060] In this embodiment, a storage unit 610 is provided as an example of a storage unit that stores element models that are created for each element that affects the air environment of a space and that predict the influence of the element on the air environment of the space.

[0061] The arrangement acquisition unit 620 acquires information on the arrangement of elements in the target space 100 from the input / output device 500. Specifically, the arrangement acquisition unit 620 acquires information on the arrangement of the indoor unit 210 and the remote control 240 in the target space 100 from the input / output device 500. At this time, the arrangement acquisition unit 620 acquires information on the arrangement of the first temperature sensors 410a-410c from the information on the arrangement of the indoor units 210a-210c. Furthermore, if the second temperature sensor 420 is provided in the remote control 240, the arrangement acquisition unit 620 acquires information on the arrangement of the second temperature sensor 420 from the information on the arrangement of the remote control 240. Furthermore, if the third temperature sensor 430 is attached, the arrangement acquisition unit 620 acquires information on the arrangement of the third temperature sensor 430 in the target space 100 from the input / output device 500. Furthermore, the arrangement acquisition unit 620 acquires information on the arrangement of the fixtures, the first material, and the second material in the target space 100, and information on gaps in the first material, from the input / output device 500. Here, the information on the arrangement of the elements in the target space 100 may include information on the vertical and / or horizontal positions of the elements in the target space 100.

[0062] Alternatively, the arrangement acquisition unit 620 may acquire information on the orientation of the element in the target space 100 from the input / output device 500 depending on the type of element.

[0063] In this embodiment, the arrangement acquisition unit 620 is provided as an example of an arrangement acquisition unit that acquires information on the arrangement of each element provided in a predetermined target space.

[0064] The target acquisition unit 630 acquires the target temperature at each position in the target space 100 from the input / output device 500. In this embodiment, the target acquisition unit 630 is provided as an example of a target acquisition unit that acquires a target air environment of the space.

[0065] The temperature acquisition unit 640 acquires the temperatures measured by the first temperature sensors 410a to 410c, the second temperature sensor 420, and the third temperature sensor 430. However, the temperature acquisition unit 640 acquires the temperature measured by the second temperature sensor 420 only when the remote controller 240 is provided with the second temperature sensor 420. Also, the temperature acquisition unit 640 acquires the temperature measured by the third temperature sensor 430 only when the third temperature sensor 430 is attached. Therefore, there are four possible patterns in which the temperature acquisition unit 640 acquires the temperature. First, there is a pattern in which the temperature measured by the first temperature sensors 410a to 410c is acquired. Second, there is a pattern in which the temperature measured by the first temperature sensors 410a to 410c and the temperature measured by the second temperature sensor 420 are acquired. Third, there is a pattern in which the temperature measured by the first temperature sensors 410a to 410c and the temperature measured by the third temperature sensor 430 are acquired. A fourth pattern is one in which the temperatures measured by the first temperature sensors 410a to 410c, the second temperature sensor 420, and the third temperature sensor 430 are acquired.

[0066] The estimation unit 650 first calculates the temperature of a specific position p, which is a position for which the ambient temperature is to be obtained, among a plurality of positions in the target space 100. To this end, the estimation unit 650 uses a physical model to calculate a temperature difference ΔT obtained by subtracting the temperature at the specific position p from the temperature acquired by the temperature acquisition unit 640. This physical model is a superposition model in which the estimation unit 650 reads element models from the storage unit 610 and superimposes the element models on a physical model of the target space 100 (hereinafter referred to as the "target space model") based on the information on the arrangement acquired by the arrangement acquisition unit 620. In the following, each of the physical models constituting the superposition model will be described as a term.

[0067] The first term corresponds to the target space model and specifies the thermal diffusivity and thermal conductivity from the positions where the first temperature sensors 410a to 410c, the second temperature sensor 420, and the third temperature sensor 430 are installed to a specific position p. The thermal diffusivity and thermal conductivity may be calculated from preset information on the size of the target space 100. If the thermal diffusivity is α, the thermal conductivity is β, and the positions where the first temperature sensors 410a to 410c, the second temperature sensor 420, and the third temperature sensor 430 are installed are n, this term is expressed as f(α, β, n, p).

[0068] The second term corresponds to the air conditioner model and specifies the effect of the blowing temperature, wind direction, wind speed, and air volume of the indoor unit 210 of the air conditioner 200 on the temperature at a specific position p. The blowing temperature, wind direction, wind speed, and air volume of the indoor unit 210 may be dynamically acquired from the control device 300. The blowing temperature of the indoor unit 210 is T b , Wind direction B d , wind speed B s , Air volume B v If the position where the indoor unit 210 is located is n1, this term is g1(T b ,B d ,B s ,B v ,n1,p).

[0069] In addition, when the blowing directions of the two indoor units 210 face each other, the specific position p between them is influenced by the blowing of both indoor units 210. In this case, it is preferable to express the overall influence by simply overlapping the second term that specifies the influence on the temperature of the specific position p. Also, as in the case where the specific position p is closer to one side of the two indoor units 210, the influence of the blowing of both indoor units 210 may be different. In this case, too, by calculating the influence for each distance from the indoor unit 210 in the second term, it is possible to express the influence of the multiple indoor units 210 by overlapping for all specific positions p. In that sense, the estimation unit 650 is an example of an estimation unit that estimates the air environment in the target space using a multiple element model in which the mutual influence between multiple elements is considered.

[0070] The third term corresponds to the heat-generating fixture model, and specifies the effect that the heat-generating fixture has on the temperature at a specific position p as a blocking body that blocks the air flow in the target space 100, and as a heat generating body. Information on the heat emitted by the heat-generating fixture as a heat generating body may be obtained from information on the heat-generating fixture that has been set in advance. In addition, the effect of the heat-generating fixture as a blocking body depends on the size of the heat-generating fixture, and the size of the heat-generating fixture may be obtained from information on the heat-generating fixture that has been set in advance. If the information on the heat emitted by the heat-generating fixture is e, the size of the heat-generating fixture is s1, the specific heat is h1, and the position where the heat-generating fixture is placed is n2, then this term is expressed as g2(e, s1, h1, n2, p).

[0071] The fourth term corresponds to the non-heat-generating fixture model, and specifies the effect that the non-heat-generating fixture has on the temperature at a specific position p as a blocking body that blocks the airflow in the target space 100. The effect of the non-heat-generating fixture as a blocking body depends on the size of the heat-generating fixture, and the size of the non-heat-generating fixture can be obtained from information related to the heat-generating fixture that has been set in advance. If the size of the non-heat-generating fixture is s2, the specific heat is h2, and the position where the non-heat-generating fixture is located is n3, then this term is expressed as g3(s2,h2,n3,p).

[0072] The fifth term corresponds to the external environment model and specifies the influence of the external environment such as the temperature, humidity, solar radiation, solar radiation angle, wind speed, and wind pressure outside the target space 100 on the temperature at the specific position p. The temperature, humidity, solar radiation, solar radiation angle, wind speed, and wind pressure outside the target space 100 may be obtained in advance from meteorological information or the like. The temperature outside the target space 100 is O t , humidity O h , solar radiation is O sv , the solar radiation angle is O sa , wind speed O wv , wind pressure O wp Let the position corresponding to the external environment be n4, then this term is g4(O t ,O h ,O sv ,O sa ,O wv ,O wp ,n 4, p).

[0073] The sixth term corresponds to the first substance model and specifies the influence of the external environment on the temperature at the specific position p through the first substance such as the ceiling, the wall 110, the floor 130, and the window 140. The influence of the external environment through the first substance depends on the size, heat insulating performance, etc. of the first substance, which may be obtained from preset information on the first substance. If the size of the first substance is s3, the heat insulating performance is i, and the position where the first substance is placed is n5, this term is expressed as g5(s3, i, n5, p).

[0074] The seventh term corresponds to the medium model and specifies the influence of the external environment on the temperature at a specific position p due to a medium such as a draft that flows in directly from gaps in the first material such as the ceiling, wall 110, floor 130, window 140, etc. The influence of the external environment due to the medium depends on the size of the gap in the first material, the opening degree of the window 140, etc., among which the size of the gap in the first material may be obtained from information related to the first material that is set in advance, and the opening degree of the window 140 may be obtained dynamically each time the window 140 is opened or closed. The size of the gap in the first material is defined as s g , the opening and closing rate of the window 140 is W o If the position where the medium directly flows in is n6, this term is g6(s g ,W o ,n6,p).

[0075] The eighth term corresponds to the second material model, and specifies the effect of a second material such as a curtain or blind on the temperature at a specific position p by controlling the effect of a medium flowing in from the external environment outside the target space 100 via the first material or directly. The control by the second material depends on the size and transmittance of the second material, and the size and transmittance of the second material may be obtained from information related to the second material that is set in advance. If the size of the second material is s3, the transmittance is Ct, and the position where the second material is placed is n7, this term is expressed as g7(s3, Ct, n7, p).

[0076] The estimation unit 650 calculates the temperature difference ΔT by combining the above terms as shown in the following formula: Note that in the following formula, the parentheses in which the parameters of the functions f, g1, g2, g3, g4, g5, g6, and g7 of each term are written are omitted.

[0077]

number

[0078] Thereafter, the estimation unit 650 performs the same process on all positions in the target space 100 as the specific position p to generate a superposition model. At this time, the estimation unit 650 generates a superposition model using any of the first temperature sensors 410a to 410c, the second temperature sensor 420, and the third temperature sensor 430. For example, first, when only the first temperature sensors 410a to 410c are provided, the estimation unit 650 may generate a superposition model using only the first temperature sensors 410a to 410c. Second, when the first temperature sensors 410a to 410c and the second temperature sensor 420 are provided, the estimation unit 650 may generate a superposition model using a combination of the first temperature sensors 410a to 410c and the second temperature sensor 420. Thirdly, when the first temperature sensors 410a-410c and the third temperature sensor 430 are provided, the estimation unit 650 may generate a superposition model by using a combination of the first temperature sensors 410a-410c and the third temperature sensor 430. Fourthly, when the first temperature sensors 410a-410c, the second temperature sensor 420 and the third temperature sensor 430 are provided, the estimation unit 650 may generate a superposition model by using a combination of the first temperature sensors 410a-410c, the second temperature sensor 420 and the third temperature sensor 430.

[0079] When the superposition model is generated in this manner, the estimation unit 650 estimates the temperature at each position in the target space 100 by inputting the temperatures acquired by the temperature acquisition unit 640 into the superposition model as explanatory variables.

[0080] In this embodiment, an estimation unit 650 is provided as an example of an estimation unit that estimates the air environment in a target space by using information on the arrangement of each element and an element model corresponding to the element.

[0081] The output unit 660 outputs to the control device 300 control parameters for controlling the air conditioning device 200 so as to reduce the difference between the target temperature at each position acquired by the target acquisition unit 630 and the temperature at each position estimated by the estimation unit 650. Here, the control parameters are, for example, the air outlet area of ​​the air conditioning device 200, the fan rotation speed (air volume), the refrigerant temperature (air outlet temperature), the flap angle, and the like. In this embodiment, the output unit 660 is provided as an example of a control unit that controls elements provided in the target space so as to reduce the difference between the air environment in the target space and the target air environment of the space. Also, in this embodiment, the air conditioning device 200 is used as an example of an element controlled by the control unit.

[0082] [Operation of information processing device] 4 is a flowchart showing an example of the operation of the information processing device 600 in this embodiment. Note that, here, the first temperature sensors 410a to 410c, the second temperature sensor 420, and the third temperature sensor 430 will be described as being represented by the temperature sensor 400.

[0083] As shown in the figure, in the information processing device 600, first, the arrangement acquisition unit 620 acquires information on the arrangement of the indoor unit 210, temperature sensor 400, fixtures, first substance, and second substance in the target space 100, and information on gaps in the first substance (step 701). In addition, the target acquisition unit 630 acquires information on the target temperature at each position in the target space 100 (step 702).

[0084] Next, in the information processing device 600, the estimation unit 650 generates a superimposed model by superimposing the air conditioner model, heat-generating fixture model, non-heat-generating fixture model, external environment model, first substance model, medium model, and second substance model stored in the storage unit 610 onto the target space model (step 703). At this time, the estimation unit 650 may generate the target space model based on the information on the arrangement of the temperature sensor 400 acquired in step 701. In addition, the estimation unit 650 may generate a superimposed model by superimposing the air conditioner model, heat-generating fixture model, non-heat-generating fixture model, external environment model, first substance model, medium model, and second substance model based on the information on the arrangement of the indoor unit 210, fixtures, first substance, and second substance acquired in step 701 and the information on the gaps in the first substance.

[0085] Next, the temperature acquisition unit 640 acquires information on the temperature measured by the temperature sensor 400 (step 704). As a result, the estimation unit 650 inputs the temperature information acquired in step 704 into the superposition model generated in step 703, thereby estimating the temperature at each position in the target space 100 (step 705).

[0086] Thereafter, in the information processing device 600, the output unit 660 outputs control parameters for controlling the air conditioning device 200 to the control device 300 (step 708). Specifically, the output unit 660 outputs control parameters that reduce the difference between the target temperature at each position in the target space 100 acquired in step 702 and the temperature at each position in the target space 100 estimated in step 705.

[0087] [Specific example] FIG. 5 is a diagram showing an input screen 810, which is an example of an input screen for inputting the arrangement information acquired in step 701 of FIG.

[0088] As shown in the figure, a target space object 811, which is an image object that represents the target space 100 in three dimensions, is displayed on the input screen 810. In this state, the user inputs information on the arrangement of each element by placing image objects representing each element on the target space object 811. In the figure, the user inputs information on the arrangement of the indoor units 210a and 210b by placing indoor unit objects 812a and 812b representing the indoor units 210a and 210b on the target space object 811. In addition, the user inputs information on the arrangement of the remote control 240 by placing a remote control object 813 representing the remote control 240 on the target space object 811. Furthermore, the user inputs information on the arrangement of the third temperature sensor 430 by placing an add-on sensor object 814 representing the third temperature sensor 430 (add-on sensor) on the target space object 811. Furthermore, the user places a desk object 815 representing a desk 160, which is an example of furniture, on the target space object 811, thereby inputting information regarding the placement of the desk 160.

[0089] Here, the target space object 811 may be displayed by the user creating a three-dimensional drawing on the input screen 810 according to the size of the target space 100. Also, the indoor unit objects 812a and 812b, the remote control object 813, the add-on sensor object 814, the desk object 815, etc. may be arranged by the user selecting them from a prepared list on the input screen 810.

[0090] FIG. 6 is a diagram showing an input screen 820, which is an example of an input screen for inputting information on the target temperature acquired in step 702 of FIG.

[0091] As shown in the figure, the input screen 820 displays partition objects 821a-821f, which are image objects that respectively represent the partitions 150a-150f of the target space 100 in three dimensions. In this state, the user inputs the target temperatures in the partitions 150a-150f by placing the target temperatures near the partition objects 821a-821f that represent the partitions 150a-150f. In the figure, the user inputs 24°C as the target temperature in partition 150a, 24°C as the target temperature in partition 150b, and 26°C as the target temperature in partition 150c. The user also inputs 22°C as the target temperature in partition 150d, 22°C as the target temperature in partition 150e, and 26°C as the target temperature in partition 150f.

[0092] FIG. 7 is a diagram showing an example of the temperature information acquired in step 704 of FIG.

[0093] As shown in the figure, the suction temperature measured by the first temperature sensor 410a provided in the indoor unit 210a is 24°C, and the suction temperature measured by the second temperature sensor 410b provided in the indoor unit 210b is 25°C. The temperature measured by the second temperature sensor 420 provided in the remote control 240 is 24°C. Furthermore, the temperature measured by the third temperature sensor 430, which is an add-on sensor, is 24°C.

[0094] FIG. 8 is a diagram showing an example of the temperature of each compartment estimated in step 705 of FIG.

[0095] As shown in the figure, the estimation unit 650 estimates the temperatures of the sections 150a to 150f by inputting the temperature information shown in Fig. 7 into the superposition model as explanatory variables. It is assumed that the estimation unit 650 estimates the temperature of the section 150a to be 24°C, the temperature of the section 150b to be 24°C, and the temperature of the section 150c to be 26°C. It is also assumed that the temperature of the section 150d to be 24°C, the temperature of the section 150e to be 22°C, and the temperature of the section 150f to be 26°C.

[0096] Here, among the estimated temperatures of the sections 150a to 150f, only the temperature of the section 150d hatched with diagonal lines differs from the target temperature input on the input screen 820 of Fig. 6. Specifically, the target temperature of section 150d input on the input screen 820 of Fig. 6 is 22°C, whereas the estimated temperature of section 150d shown in Fig. 8 is 24°C. On the other hand, the target temperatures of sections other than section 150d input on the input screen 820 of Fig. 6 are the same as the estimated temperatures of sections other than section 150d shown in Fig. 8.

[0097] FIG. 9 is a diagram showing an example of control of the air conditioner 200 using the control parameters output in step 706 in FIG.

[0098] As described above, the target temperature of section 150d input on input screen 820 in Fig. 6 is lower than the estimated temperature of section 150d shown in Fig. 8. Therefore, as shown in the figure, output unit 660 changes the flap angle of indoor unit 210a to an angle that increases the airflow, using the control parameters. On the other hand, as described above, the target temperatures of sections 150c and 150f input on input screen 820 in Fig. 6 are the same as the estimated temperatures of sections 150c and 150f shown in Fig. 8. Therefore, as shown in the figure, output unit 660 stops the operation of indoor unit 210b using the control parameters.

[0099] 10(a) and (b) are diagrams showing input screens 910 and 920 which are other examples of the input screen for inputting the arrangement information acquired in step 701 of FIG.

[0100] As shown in the figure, input screens 910, 920 respectively display plane objects 911, 921, which are image objects two-dimensionally representing target space 100. Furthermore, desk group objects 912a-912f and desk group objects 922a-922f representing desk groups 170a-170f are respectively arranged on the plane objects 911, 921 as a guide for arranging each element.

[0101] First, a plane object 911 representing a plane 180 at a height of 700 mm from the floor 130 of the target space 100 is displayed on an input screen 910 in FIG. 10(a). In this state, the user inputs information on the arrangement of each element by placing an image object representing each element on the plane object 911. In the figure, the user inputs information on the arrangement of the plant 171 by placing a plant object 913 representing the plant 171 on a desk group object 912a in the plane object 911. In addition, the user inputs information on the arrangement of the PC groups 172a and 172b by placing PC group objects 914a and 914b representing the PC groups 172a and 172b on desk group objects 912b and 912d in the plane object 911, respectively. In addition, the user inputs information on the arrangement of the PC group 173 by placing a PC object 915 representing the PC 173 on a desk group object 912e in the plane object 911.

[0102] 10(b) displays a plane object 921 representing a plane 190 at a height of 2700 mm from the floor 130 of the target space 100. In this state, the user inputs information on the arrangement of each element by placing image objects representing each element on the plane object 921. In the figure, the user inputs information on the arrangement of the ceiling embedded type indoor units 250a-250d by placing indoor unit objects 923a-923d representing the ceiling embedded type indoor units 250a-250d on desk group objects 922a, 922c, 922d, 922f within the plane object 921.

[0103] Note that the temperature distribution in the target space 100 may be displayed by pressing a calculation button 919 on the input screen 910 in FIG. 10(a) and a calculation button 929 on the input screen 920 in FIG. 10(b).

[0104] [program] The processes performed by information processing device 600 in this embodiment are prepared as a program such as application software, for example.

[0105] This program enables a computer to perform the following functions: store element models that are created for each element that affects the air environment of a space and predict the impact that the element will have on the air environment of the space; acquire information on the placement of each of the elements installed in a specified target space; and estimate the air environment in the target space using the acquired information on the placement of each element and the element model corresponding to the element.

[0106] The program for realizing the present embodiment can be provided not only by communication means but also by being stored in a recording medium such as a CD-ROM. [Explanation of symbols]

[0107] 10...air environment control system, 100...target space, 200...air conditioning device, 300...control device, 400...temperature sensor, 500...input / output device, 600...information processing device, 610...storage unit, 620...arrangement acquisition unit, 630...target acquisition unit, 640...temperature acquisition unit, 650...estimation unit, 660...output unit

Claims

1. a storage unit that stores an element model that is created for each element that affects the temperature of the space and that predicts the effect that the element has on the temperature of the space when the element is located at a specified position; A layout acquisition unit that acquires layout information for each of the elements that exists within a predetermined target space, outside the target space, or on an outer surface of the target space; an estimation unit that estimates a temperature in the target space using a superposition model obtained by superposing the element models corresponding to the elements stored in the storage unit based on the information on the arrangement of the elements acquired by the arrangement acquisition unit; An information processing device comprising:

2. The information processing apparatus according to claim 1 , wherein the element model is a model of an element that affects a temperature of the space.

3. The element model includes an air conditioner model for predicting an effect of an air conditioner installed in the space on a temperature of the space. The information processing device according to claim 1 .

4. The element model includes a heating element model for predicting an effect of a heating element present in the space on a temperature of the space. The information processing device according to claim 1 .

5. The effect of the heating element on the temperature of the space is the effect of heat generated by the heating element. The information processing device according to claim 4.

6. The element model includes a non-heat-generating body model for predicting an effect of a non-heat-generating body present in the space on a temperature of the space. The information processing device according to claim 1 .

7. The element model includes an external environment model for predicting an effect of an external environment of the space on a temperature of the space. The information processing device according to claim 1 .

8. The information processing apparatus according to claim 7 , wherein the element models further include a first material model for predicting an effect of the external environment on a temperature of the space through a first material constituting an outer surface of the space.

9. The element model further includes a second material model for predicting an influence of a second material, which controls an influence of the external environment through the first material, on a temperature of the space. The information processing device according to claim 8.

10. The element model further includes a media model for predicting an effect of the external environment on a temperature of the space by a medium directly flowing into the space. The information processing device according to claim 7.

11. The information processing apparatus according to claim 10 , wherein the element model further includes a second substance model for predicting an effect of a second substance that controls the effect of the external environment through the medium on a temperature of the space.

12. A target acquisition unit that acquires a target temperature of the space; a control unit that controls the elements provided in the target space so as to reduce a difference between a temperature in the target space estimated by the estimation unit and a target temperature of the space acquired by the target acquisition unit; The information processing device according to claim 1 , further comprising:

13. the arrangement acquisition unit acquires the arrangement information by accepting, on a screen, a designation of a position of an object image corresponding to the element; The information processing device according to claim 1 .

14. The arrangement acquisition unit receives, on the screen, a designation of a direction of the element in the target space. The information processing device according to claim 13.

15. The arrangement acquisition unit acquires the arrangement information including information on vertical and / or horizontal positions of the elements in the target space. The information processing device according to claim 1 .

16. The estimation unit estimates a temperature in the target space by using a plurality of element models in which mutual influences between the plurality of elements are taken into consideration. The information processing device according to claim 1 .

17. On the computer, A function for storing an element model which is created for each element that affects the temperature of the space and predicts the effect of the element on the temperature of the space when the element is located at a specified position; A function of acquiring information on the arrangement of each of the elements present within a predetermined target space, outside the target space, or on the outer surface of the target space; a function of estimating a temperature in the target space using a superposition model obtained by superposing the element models corresponding to the elements based on the acquired information on the arrangement of each of the elements; and A program to achieve this.

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