Condensation countermeasure setting device

Abstract

To predict a condensation risk with high accuracy.SOLUTION: A condensation countermeasure setting device in one embodiment comprises: a first prediction part for identifying a temperature / humidity prediction value in an object space in a desired time zone in the future, on the basis of operation setting information of the object space of a building; a second prediction part for identifying an absolute humidity prediction value in the object space in the desired time zone, on the basis of the temperature / humidity prediction value, volume information of the object space and the operation setting information in the desired time zone; a third prediction part for identifying a saturated water vapor content prediction value to one or more planes defining the object space in the desired time zone, on the basis of the temperature / humidity prediction value; and a fourth prediction part for identifying a condensation water content prediction value in the object space in the desired time zone, by predicting variations of the condensation water content and vaporized water content, in the desired time zone, on the basis of the absolute humidity prediction value and the saturated water vapor content prediction value in the object space.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a dew condensation countermeasure setting device that predicts the risk of dew condensation occurring in a target space of a building. [Background technology]

[0002] It has been known that condensation occurring in facilities such as warehouses can adversely affect goods stored in the facility. One known method for preventing condensation is to predict the risk of condensation occurring in the facility and notify the manager. The manager can take measures to suppress condensation based on the prediction results. For example, Patent Document 1 discloses a technology for predicting the risk of condensation by predicting the air temperature and dew point temperature in the location area of ​​the facility based on weather forecast information for the location area. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-111331 Summary of the Invention [Problem to be solved by the invention]

[0004] In order to effectively prevent condensation that may occur within a facility, it is desirable to predict the risk of condensation more accurately.

[0005] One of the objects of the present invention is to enable more accurate prediction of condensation risk. [Means for solving the problem]

[0006] According to one embodiment, a condensation prevention setting device is provided, comprising: a first prediction unit that determines a predicted temperature and humidity value of a target space in a desired future time period based on operation setting information of the target space of a building; a second prediction unit that determines a predicted absolute humidity value of the target space in the desired time period based on the predicted temperature and humidity value, the operation setting information for the desired time period, and volume information of the target space; a third prediction unit that determines a predicted saturated water vapor amount value for one or more planes that define the target space in the desired time period based on the predicted temperature and humidity value; and a fourth prediction unit that predicts fluctuations in the amount of condensed water and evaporated water in the desired time period based on the predicted absolute humidity value and the predicted saturated water vapor amount value of the target space, and determines a predicted condensed water amount value of the target space in the desired time period. [Effects of the Invention]

[0007] According to the present invention, it is possible to predict the risk of condensation with higher accuracy. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing the configuration of a condensation prevention system according to an embodiment of the present invention. [Figure 2] 1 is a block diagram showing the configuration of a condensation prevention setting device according to an embodiment of the present invention; [Figure 3] 10 is a flowchart illustrating an example of a condensation risk prediction process executed by a condensation risk prediction function according to an embodiment of the present invention. [Figure 4] FIG. 2 is a block diagram showing the configuration of a condensation risk prediction function according to an embodiment of the present invention. [Figure 5] 10 is a flowchart illustrating an example of a temperature and humidity prediction process executed by a first prediction unit. [Figure 6] 10 is a flowchart illustrating an example of a condensation water amount prediction process executed by a fourth prediction unit. [Figure 7] FIG. 10 is a block diagram showing the configuration of a condensation risk prediction function according to a modified example. DETAILED DESCRIPTION OF THE INVENTION

[0009] An embodiment of the present invention will be described in detail below with reference to the drawings. The embodiments described below are merely examples, and the present invention should not be construed as being limited to these embodiments. In the drawings referred to in this embodiment, identical parts or parts having similar functions are designated with the same or similar symbols (symbols consisting of a number followed by A, B, etc.), and repeated explanations may be omitted. For clarity of explanation, the drawings may be illustrated schematically, with dimensional ratios different from actual ratios and parts of the configuration omitted from the drawings.

[0010] First Embodiment [Configuration of anti-condensation system] 1 is a block diagram showing the configuration of a condensation countermeasure system according to one embodiment of the present invention. The condensation countermeasure system 1 includes a condensation countermeasure setting device 10 and a weather database (weather DB) 20. The condensation countermeasure setting device 10 and the weather DB 20 can communicate with each other. The condensation countermeasure setting device 10 and the weather DB 20 may also be able to communicate with each other via a network.

[0011] In response to a user's instruction, the condensation countermeasure setting device 10 specifies the predicted amount of condensation water for a desired time period in a space in a building that is the target of condensation water amount prediction (hereinafter referred to as the target space). The weather DB 20 stores past weather information 21 and weather forecast information 23. The weather DB 20 can communicate with an external device (not shown), such as a server, and update the past weather information 21 and weather forecast information 23 at predetermined intervals. When specifying the predicted amount of condensation water, the condensation countermeasure system 10 acquires the weather forecast information 23 from the weather DB 20 and calculates the predicted amount of condensation water using the acquired weather forecast information 23.

[0012] [Configuration of anti-condensation setting device] 2 is a block diagram showing the configuration of the condensation countermeasure setting device 10 according to this embodiment. The condensation countermeasure setting device 10 includes a control unit 11, a storage unit 12, a communication unit 13, an operation unit 14, and a display unit 15. The control unit 11, the storage unit 12, the communication unit 13, the operation unit 14, and the display unit 15 are connected to one another via a bus 16.

[0013] The control unit 11 includes an arithmetic processing circuit such as a CPU, and storage devices such as a RAM and a ROM. The control unit 11 executes a program 12a stored in the storage unit 12 using the CPU to realize various functions in the condensation countermeasure setting device 10. The functions executed by the control unit 11 include a condensation risk prediction function. The condensation risk prediction function executed by the control unit 11 will be described later.

[0014] The storage unit 12 is a storage device such as a nonvolatile memory. The storage unit 12 stores a program 12a that is executed by the control unit 11 and that realizes the condensation risk prediction function. The program 12a may be provided in a state stored in a computer-readable recording medium such as a magnetic recording medium, an optical recording medium, a magneto-optical recording medium, or a semiconductor memory, as long as it is executable by a computer. In this case, the condensation countermeasure setting device 10 may be provided with a device that reads the recording medium. The program may also be downloaded via a network.

[0015] The storage unit 12 also stores information, including building information 12b, necessary for the control unit 11 to execute the condensation risk prediction function. Such information, including the building information 12b, may be stored in an external storage device (server, recording medium, etc.) that can be connected by wire or wirelessly, instead of being stored in the storage unit 12. The building information 12b will be described later.

[0016] The communication unit 13 is a communication device for connecting to an external device via wire or wirelessly to send and receive data. The communication unit 13 can communicate with a weather DB 20 to acquire past weather information 21 and weather forecast information 23.

[0017] The operation unit 14 is an input device such as an operation panel, a keyboard, a mouse, or the like, which is provided on a remote control or the like, and outputs signals according to input operations to the control unit 11. The operation unit 14 enables the user to input instructions to the condensation countermeasure setting device 10.

[0018] The display unit 15 is a display device such as a liquid crystal display or an organic EL display, and displays a screen based on the control of the control unit 11. The predicted condensation water amount determined by the condensation risk prediction function 100 may be displayed on this screen. The operation unit 14 and the display unit 15 may be integrated to form a touch panel.

[0019] [Software configuration of anti-condensation setting device] The condensation risk prediction function realized by the control unit 11 of the condensation countermeasure setting device 10 executing the program 12a will be described.

[0020] 3 is a flowchart for explaining an example of condensation risk prediction processing executed by condensation risk prediction function 100. The condensation risk prediction processing is started by an instruction from the user via operation unit 14. An overview of the condensation water amount prediction processing executed by condensation risk prediction function 100 will be described with reference to FIG.

[0021] The control unit 11 acquires various information used as parameters for predicting the amount of condensation water in the target space during a desired time period in the future (S301). The various information includes building information 12b and weather forecast information 23. The various information may also include past weather information 21. The various information may also be information input via the operation unit 14.

[0022] The building information 12b includes specification information "is" of the building including the target space, target space information "iva", and operation setting information "ios" of the target space.

[0023] The specification information is is information about the structure of a building, the materials that make up the building, etc. For example, the specification information is includes the ceiling thickness, wall thickness, floor thickness, ceiling material and its physical properties, wall material and its physical properties, floor material and its physical properties, whether or not insulation is used, and the physical properties of the insulation, etc.

[0024] The target space information iva includes volume information iv indicating the volume of the target space and area information ia indicating the area of ​​the target space.

[0025] The operational setting information ios includes at least one of ventilation information iav of the target space, heat-generating information ihg in the target space, and moisture generation information img in the target space. The operational setting information ios is set in advance.

[0026] The ventilation information iav is information about factors that determine the expected ventilation volume of the target space. The ventilation information iav includes, for example, information about the specifications of the shutters installed in the target space, information about the opening and closing of the shutters, the specifications of the ventilation equipment installed in the target space, and operation information (ON / OFF information) of the ventilation equipment.

[0027] The heat generating material information (ihg) is information about heat generating elements installed in the target space and the amount of heat they emit (for example, specifications of lighting, freezers, and refrigerators installed in the target space and the amount of heat they emit). The heat generating material information (ihg) may also include information about the amount of heat emitted by people present in the target space. The moisture generation information (img) may include information about the amount of moisture emitted by people present in the target section.

[0028] The past weather information 21 is meteorological observation information such as past weather, temperature, humidity, etc., based on the current time, for the area where the building including the target space is located. The weather forecast information 23 is meteorological forecast information such as future weather, temperature, humidity, etc., based on the current time, for the area where the building including the target space is located. As described above, the past weather information 21 and the weather forecast information 23 can be updated at predetermined intervals.

[0029] The information input via the operation unit 14 is information input by the user. For example, when changing part of the operation setting information ios, the user may input desired operation setting information ios via the operation unit 14.

[0030] Next, the control unit 11 performs a temperature and humidity prediction process to calculate predicted values ​​of temperature and humidity in the target space in a desired time period using various information used as parameters (S303). The temperature and humidity prediction process will be described in detail later.

[0031] The control unit 11 performs absolute humidity prediction processing to calculate a predicted absolute humidity value of the target space in the desired time period using the predicted temperature and humidity values ​​of the target space in the desired time period calculated by the temperature and humidity prediction processing (S305). Details of the absolute humidity prediction processing will be described later.

[0032] The control unit 11 performs a saturated water vapor amount prediction process (S307) to calculate a saturated water vapor amount prediction value for one or more planes defining the target space for the desired time period using the predicted temperature and humidity values ​​of the target space for the desired time period calculated by the temperature and humidity prediction process. The saturated water vapor amount prediction process will be described later. The order of the absolute humidity prediction process (S305) and the saturated water vapor amount prediction process (S307) may be reversed. Alternatively, the absolute humidity prediction process (S305) and the saturated water vapor amount prediction process (S307) may be performed simultaneously.

[0033] The control unit 11 performs a condensation water amount prediction process to calculate a predicted value of the amount of condensation water in the target space during the desired time period based on the predicted absolute humidity value calculated by the absolute humidity prediction process and the predicted saturated water vapor amount value calculated by the saturated water vapor amount prediction process (S309). The condensation water amount prediction process will be described later.

[0034] Although not shown in the figures, the predicted condensation water amount value calculated by the condensation water amount prediction process may be notified to the user by being displayed on the display unit 15. The user may check the predicted condensation water amount value, change the operation setting information ios, and then execute the condensation risk prediction process based on the changed operation setting information ios.

[0035] 4 is a block diagram showing the configuration of the condensation risk prediction function 100 according to this embodiment. Part or all of the configuration for realizing the condensation risk prediction function 100 described below may be realized by hardware.

[0036] 4, the condensation risk prediction function 100 includes a data acquisition unit 101, a first prediction unit 103, a second prediction unit 105, a third prediction unit 107, and a fourth prediction unit 109. The first prediction unit 103, the second prediction unit 105, the third prediction unit 107, and the fourth prediction unit 109 each perform a simulation to evaluate the condensation risk in a target space.

[0037] The condensation risk prediction process performed by the data acquisition unit 101, the first prediction unit 103, the second prediction unit 105, the third prediction unit 107, and the fourth prediction unit 109 will be described below. As an example, 8:00 AM on d1 of month m is used as a reference (reference time point) and a predicted amount of condensation water is calculated for 8:00 AM on d8 of month m, one week later. Here, 8:00 AM on d1 of month m, which serves as the reference time point, is preferably the present or the past. In this embodiment, a case will be described in which 8:00 AM on d1 of month m, which serves as the reference time point, is the present. 8:00 AM on d8 of month m is in the future, relative to the present.

[0038] The data acquisition unit 101 acquires information used as parameters for predicting the amount of condensation water in the target space during a desired time period. Specifically, the data acquisition unit 101 acquires building information 12b from the storage unit 12 and acquires weather forecast information 23 from the weather DB 20. The data acquisition unit 101 may also acquire past weather information 21 from the weather DB 20. The data acquisition unit 101 can also acquire information input via the operation unit 14. As described above, this information is used as various parameters for predicting the amount of condensation water in the target space during a desired time period in the future.

[0039] The first prediction unit 103 identifies predicted temperature and humidity values ​​for the target space in a desired future time slot (a time slot corresponding to 8:00 AM on d8th of month m) based on the operation setting information ios. That is, the first prediction unit 103 performs a temperature and humidity prediction process (the process of S303 in FIG. 3). Specifically, the first prediction unit 103 identifies predicted temperature and humidity values ​​for each unit time slot obtained by dividing the period from a reference time point to a desired future time slot into one or more time slots. Based on the predicted temperature and humidity values ​​for a given unit time slot, the first prediction unit 103 identifies predicted temperature and humidity values ​​for a unit time slot next to the given unit time.

[0040] Here, as an example, the unit time slot is set to one hour, and the unit time slot corresponding to 8 AM on d1 of month m, which is the reference time point, (the time slot from 8 AM to 9 AM on d1 of month m) is set to time slot i (i = 0), and the unit time slots after time slot i are set to time slot i+n (n is a natural number). The unit time slot that is the desired time slot corresponding to 8 AM on d8 of month m (the time slot from 7 AM to 8 AM on d8 of month m) is time slot i+23. The first prediction unit 103 first identifies the predicted temperature and humidity values ​​of the target space for time slot i+1, which is the time slot immediately following time slot i, from among the unit time slots between time slot i and time slot i+23. Time slot i+1 is the time slot from 9 AM to 10 AM on d1 of month m.

[0041] The first prediction unit 103 uses the predicted temperature and humidity values ​​for the i+1 time slot to identify the predicted temperature and humidity values ​​for the target space for the i+2 time slot immediately following the i+1 time slot. The i+2 time slot is the time slot from 10:00 AM to 11:00 AM on the d1st day of the mth month. In this way, the first prediction unit 103 repeats identifying the predicted temperature and humidity values ​​for the target space for each unit time slot from the reference time point until the desired time slot, i+23, is reached.

[0042] FIG. 5 is a flowchart illustrating an example of the temperature and humidity prediction process executed by the first prediction unit 103.

[0043] The first prediction unit 103 acquires various information used as parameters for calculating the predicted temperature and humidity values ​​from the data acquisition unit 101 (S501). The various information for calculating the predicted temperature and humidity values ​​includes specification information is, target space information iva including volume information iv and area information ia, operation setting information ios, temperature and humidity information of the target space, outside temperature and humidity information of the location area of ​​the building including the target space, and future outside temperature and humidity prediction information.

[0044] The operational setting information ios used here is the pre-set operational setting information ios for time period i (the time period from 8:00 AM to 9:00 AM on day d1 of month m). That is, the operational setting information ios used here includes at least one of ventilation information iav, heat-generating material information ihg, and moisture generation information img for the target space in time period i.

[0045] The temperature and humidity information of the target space is the temperature and humidity information of the target space in time period i. In this embodiment, since 8 AM on d1 of month m, which is the reference time point, is the present, the temperature and humidity information is the actual measured values ​​of the temperature and humidity of the target space at the present time. Note that if 8 AM on d1 of month m, which is the reference time point, is in the past, the temperature and humidity information may be the actual measured values ​​of the temperature and humidity of the target space at that time in the past, or may be assumed values ​​based on the past weather information 21.

[0046] The outdoor temperature and humidity information is the outdoor temperature and humidity information of the area where the building is located, including the target space for time period i. In this embodiment, since 8:00 AM on d1 of month m, which is the reference point in time, is the present, the outdoor temperature and humidity information is the actual measured values ​​of the outdoor temperature and humidity at the current time in the area where the building is located. Note that if 8:00 AM on d1 of month m, which is the reference point in time, is in the past, the outdoor temperature and humidity information may be the actual measured values ​​of the outdoor temperature and humidity in the area where the building is located at that time in the past, based on the past weather information 21, or may be assumed values.

[0047] The future outdoor temperature and humidity forecast information is a forecast value of the outdoor temperature and humidity in the i+1 time slot, which is the unit time slot next to the i time slot, based on the weather forecast information 23.

[0048] The first prediction unit 103 calculates predicted temperature and humidity values ​​of the target space in the i+1 time period by solving simultaneous equations between temperature and humidity based on the above-described information (S503). In this embodiment, the first prediction unit 103 identifies predicted temperature and humidity values ​​at one or more observation points in the target space in the i+1 time period. In this case, the first prediction unit 103 may identify predicted temperature and humidity values ​​at one or more observation points in the target space in the i+1 time period by a heat flow simulation using fluid analysis (CFD: Computational Fluid Dynamics). The one or more observation points in the target space are arbitrary positions on one or more planes that define the target space. For example, the one or more observation points in the target space are arbitrary positions on the floor, ceiling, or wall of the target space, or arbitrary positions on the surface of an object placed in the target space.

[0049] The first prediction unit 103 determines whether the predicted temperature and humidity values ​​calculated by the process of S503 are the predicted temperature and humidity values ​​for the desired time period (S505). If they are not the predicted temperature and humidity values ​​for the desired time period (S505; No), the first prediction unit 103 repeats the processes of S501, S503, and S505 until the predicted temperature and humidity values ​​for the desired time period are obtained. In other words, when the predicted temperature and humidity values ​​for the i+1 time period are calculated, the first prediction unit 103 repeats the processes of S501, S503, and S505 to calculate the predicted temperature and humidity values ​​for each of the i+2 time period, the i+3 time period, . . ., and the i+23 time period. If the calculated predicted temperature and humidity values ​​are the predicted temperature and humidity values ​​for the desired time period (S505; Yes), the first prediction unit 103 ends the temperature and humidity prediction process.

[0050] When calculating the predicted temperature and humidity values ​​for unit time slots from time slot i+2 onwards, the various information used as parameters for calculating the predicted temperature and humidity values ​​is, excluding specification information is and target space information iva, the operational setting information ios, target space temperature and humidity information, outside temperature and humidity information, and future outside temperature and humidity prediction information corresponding to time slot i+n. For example, when calculating the predicted temperature and humidity values ​​for time slot i+2, the operational setting information ios, target space temperature and humidity information, outside temperature and humidity information, and future outside temperature and humidity prediction information corresponding to time slot i+1 are used.

[0051] The operational setting information ios corresponding to the i+1 time period is the pre-set operational setting information ios for the i+1 time period (the time period from 9:00 AM to 10:00 AM on the d1st day of the mth month). That is, the operational setting information ios used here includes at least one of ventilation information iav, heat-generating material information ihg, and moisture generation information img for the target space in the i+1 time period.

[0052] The temperature and humidity information of the target space corresponding to the i+1 time period is the predicted temperature and humidity values ​​for the i+1 time period calculated by the process of S503.

[0053] The outdoor temperature and humidity information corresponding to the i+1 time slot is the outdoor temperature and humidity information for the area where the building is located, including the target space for the i+1 time slot. In this embodiment, since the current time is 8:00 AM on d1 of month m, which is the reference time point, the outdoor temperature and humidity information corresponding to the i+1 time slot is the outdoor temperature and humidity information predicted for the time period from 9:00 AM to 10:00 AM on d1 of month m based on the weather forecast information 23.

[0054] The future outdoor temperature and humidity forecast information corresponding to the i+1 time period is the predicted value of the outdoor temperature and humidity for the i+2 time period, which is the next unit time period after the i+1 time period, i.e., the time period from 10:00 AM to 11:00 AM on the 1st day of the mth month, based on the weather forecast information 23.

[0055] In this way, the first prediction unit 103 calculates the predicted temperature and humidity values ​​of the target space for each unit time period in chronological order using the specification information is, target space information iva, operation setting information ios, target space temperature and humidity information, outside temperature and humidity information, and future outside temperature and humidity forecast information corresponding to the i+n time period, until the predicted temperature and humidity value of the target space for time period i+23 is calculated. The calculated predicted temperature and humidity values ​​of the target space include predicted temperature and humidity values ​​at one or more observation points in the target space.

[0056] Next, the second prediction unit 105 will be described. The second prediction unit 105 determines the predicted absolute humidity value of the target space during a desired time period (i+23 time period) based on the predicted temperature and humidity values ​​of the target space during the desired time period calculated by the first prediction unit 103, the operation setting information ios during the desired time period, and the volume information iv of the target space. That is, the second prediction unit 105 performs absolute humidity prediction processing (the processing of S305 in FIG. 3). Here, the operation setting information ios during the desired time period is the predetermined operation setting information ios for the i+23 time period.

[0057] The third prediction unit 107 will now be described. Based on the predicted temperature and humidity values ​​for a desired time period (time period i+23), the third prediction unit 107 identifies a predicted saturated water vapor amount value for any position on one or more planes that define the target space for the desired time period. That is, the third prediction unit 107 performs saturated water vapor prediction processing (the processing of S307 in FIG. 3).

[0058] As described above, the predicted temperature and humidity values ​​for the target space during the i+23 time period include predicted temperature and humidity values ​​at one or more observation points in the target space, i.e., at any position on one or more planes that define the target space. Based on the predicted temperature and humidity values ​​at each observation point, the third prediction unit 107 calculates a predicted saturated water vapor amount for each observation point.

[0059] The fourth prediction unit 109 will be described. The fourth prediction unit 109 determines the predicted amount of condensed water in the target space during a desired time period (i+23 time period) based on the predicted absolute humidity value of the target space during the desired time period and the predicted saturated water vapor amount during the desired time period. That is, the fourth prediction unit 109 performs a condensed water amount prediction process (S309 in FIG. 3).

[0060] FIG. 6 is a flowchart illustrating an example of the condensation water amount prediction process executed by the fourth prediction unit 109.

[0061] The fourth prediction unit 109 calculates a predicted value of fluctuations in the amount of condensation and evaporation of water in the target space during a desired time period (i+23 time period) based on the predicted value of absolute humidity in the target space during the desired time period (i+23 time period) and the predicted value of saturated water vapor amount during the desired time period (S601). The calculated predicted value of fluctuations in the amount of condensation and evaporation of water is a predicted value of fluctuations in the amount of condensation and evaporation of water for one or more observation points in the target space, i.e., any position on one or more planes that define the target space. For example, the predicted value of fluctuations in the amount of condensation and evaporation of water during the i+n time period can be calculated based on the following Equation 1. <Expression 1> Predicted amount of condensation and evaporation = coefficient c × (predicted absolute humidity – predicted saturated water vapor amount) / (coefficient a × predicted absolute humidity + coefficient b) (In the above formula 1, the predicted absolute humidity value and the predicted saturated water vapor amount value are the predicted values ​​for the i+n time period calculated in the processes of S305 and S307. Coefficient a indicates the specific heat of water vapor, coefficient b indicates the specific heat of air at constant pressure, and coefficient c indicates a coefficient based on the operational setting information ios, convection conditions, specific heat, heat transfer coefficient, etc. for the i+n time period.)

[0062] Next, the fourth prediction unit 109 calculates the predicted amount of condensed water in the target space during the desired time slot (i+23 time slot) based on the calculated predicted fluctuation value of the amount of condensed water and evaporated water (S603). Through the above process, the fourth prediction unit 109 determines the predicted amount of condensed water in the target space during the desired time slot (i+23 time slot). The calculated predicted amount of condensed water is the predicted amount of condensed water for one or more observation points in the target space. The predicted amount of condensed water in the i+n time slot is determined based on the amount of condensed water in the i+(n-1) time slot and the predicted fluctuation value of the amount of condensed water and evaporated water in the i+n time slot. Specifically, if the sum of the amount of condensed water in the i+(n-1) time slot and the predicted fluctuation value of the amount of condensed water and evaporated water in the i+n time slot is <0, the predicted amount of condensed water in the i+n time slot is 0. On the other hand, if the sum of the amount of condensed water in the i+(n-1) time slot and the predicted fluctuation value of the amount of condensed water and evaporation in the i+n time slot is ≧0, the predicted amount of condensed water is the sum of the amount of condensed water in the i+(n-1) time slot and the predicted fluctuation value of the amount of condensed water and evaporation in the i+n time slot.

[0063] The identified predicted value of the amount of condensed water can be provided to the user via the display unit 15. The user can check the provided predicted value of the amount of condensed water and change the preset operation setting information ios of the target space in order to prevent condensation that may occur in the target space.

[0064] For example, based on the provided predicted value of the amount of condensation water, the user can adjust the opening and closing times of shutters installed in the target space, the operating time of ventilation equipment installed in the target space, the operating power of the ventilation equipment, etc. The user can also change the position of a heating element installed in the target space.

[0065] Providing predicted condensation water amounts for multiple observation points in a target space makes it easier to identify locations (areas) with a high risk of condensation. Therefore, it is preferable to determine predicted condensation water amounts for multiple observation points in the target space, i.e., for any position on multiple planes that define the target space. Furthermore, CFD-based heat flow simulations can identify locations (areas) with a high risk of condensation in the target space in more detail.

[0066] <Modification> The present invention is not limited to the above-described embodiment, but includes various other modifications, some of which will be described below.

[0067] (1) The risk of condensation in the target space may be determined based on the predicted value of the amount of condensation water in the target space during a desired time period, as determined by the condensation risk prediction function 100, and the determination result may be provided to the user.

[0068] 7 is a block diagram showing the configuration of a condensation risk prediction function 100A according to this modification. As in the first embodiment, the condensation risk prediction function 100A is realized by the control unit 11 of the condensation countermeasure setting device 10 executing the program 12a. Some or all of the configuration for realizing the condensation risk prediction function 100A described below may be realized by hardware.

[0069] 7, condensation risk prediction function 100A includes data acquisition unit 101, first prediction unit 103A, second prediction unit 105A, third prediction unit 107A, fourth prediction unit 109A, and determination unit 111. First prediction unit 103A, second prediction unit 105A, third prediction unit 107A, and fourth prediction unit 109A each perform a simulation to evaluate the condensation risk in a target space and determine the condensation risk.

[0070] In the condensation risk prediction function 100 of the first embodiment described above, the first prediction unit 103 repeatedly determines the predicted temperature and humidity values ​​of the target space for each unit time period from the unit time period (i time period) corresponding to the reference time to the desired time period (i+n time period). Based on the finally determined predicted temperature and humidity value of the target space for the desired time period, the second prediction unit 105, the third prediction unit 107, and the fourth prediction unit 109 determine the predicted amount of condensation water in the target space for the desired time period. Meanwhile, in the condensation risk prediction function 100A, the first prediction unit 103A outputs the predicted temperature and humidity values ​​of the target space for each unit time period from the unit time period (i time period) corresponding to the reference time to the time period (i+n time period) corresponding to the desired time period to the second prediction unit 105A and the third prediction unit 107A. This allows the fourth prediction unit 109A to calculate the predicted amount of condensation water in the target space for each unit time period. The predicted amount of condensation water in the target space for each unit time period is temporarily stored in the memory unit 12 or the RAM of the control unit 11.

[0071] The determination unit 111 determines whether the number of times that the predicted value of the amount of condensation water in the target space for each unit time period exceeds the threshold corresponding to the desired time period is equal to or greater than a predetermined number. Here, the threshold is an arbitrary value, and may be a predetermined value set in advance or a predetermined value set by the user. The threshold may differ depending on an arbitrary position within the target space (an arbitrary position on one or more planes defining the target space, the surface of a stored item, etc.).

[0072] The determination unit 111 determines that the risk of condensation is high if the number of times the predicted value of the amount of condensed water in the target space for each unit time period exceeds the threshold is equal to or greater than a predetermined number. As in the first embodiment, the predicted value of the amount of condensed water in each unit time period is calculated for one or more observation points in the target space. Therefore, when predicted values ​​of the amount of condensed water for multiple observation points are specified, the risk of condensation at each observation point can be automatically determined by comparing the predicted value of the amount of condensed water at each observation point with the threshold.

[0073] (2) In the above-described first modification, the determination unit 111 may output the determination result to the first prediction unit 103A. The first prediction unit 103A may receive the determination result, change the preset operation setting information ios for the target space, and calculate a predicted temperature and humidity value for the target space corresponding to the desired time period based on the changed operation setting information ios. Based on the newly calculated predicted temperature and humidity value and the changed operation setting information ios, the second prediction unit 105A, the third prediction unit 107A, and the fourth prediction unit 109A can newly calculate a predicted amount of condensation water for the target space corresponding to the desired time period.

[0074] In this way, the operational setting information ios for the target space is changed based on the determination result, and the predicted amount of condensation water for the target space corresponding to the desired time period is calculated again based on the changed operational setting information ios. The operational setting information ios for which the calculated predicted amount of condensation water exceeds a predetermined threshold less than a predetermined number of times may be set as the new operational setting information ios for the target space. In this way, by changing the operational setting information ios for the target space based on the determination result and repeating a simulation to evaluate the risk of condensation in the target space, it is possible to identify operational setting information ios that is effective in reducing the risk of condensation in the target space.

[0075] The operation setting information ios can be changed by the first prediction unit 103A based on the determination result. Alternatively, the user may change the operation setting information ios via the operation unit 14 in response to the determination result.

[0076] (3) In the above-described first modification, the determination unit 111 may provide the user with operational setting information ios to be changed based on the determination result. For example, the determination unit 111 may determine the risk of condensation at each observation point based on the predicted amount of condensation water at each observation point, and provide the user with operational setting information ios that will affect the temperature and humidity at the observation point with a high risk of condensation. The user may change the provided operational setting information ios and re-run the simulation to evaluate the risk of condensation in the target space. [Explanation of symbols]

[0077] 1: Condensation prevention system, 10: Condensation prevention setting device, 11: Control unit, 12: Memory unit, 13: Communication unit, 14: Operation unit, 15: Display unit, 20: Weather database, 100, 100A: Condensation risk prediction function, 101: Data acquisition unit, 103, 103A: First prediction unit, 105, 105A: Second prediction unit, 107, 107A: Third prediction unit, 109, 109A: Fourth prediction unit, 111: Determination unit

Claims

1. a first prediction unit that determines a predicted temperature and humidity value of the target space in a desired future time period based on operation setting information of the target space in the building; a second prediction unit that determines an absolute humidity prediction value of the target space in the desired time period based on the temperature and humidity prediction value, the operation setting information in the desired time period, and volume information of the target space; a third prediction unit that determines a predicted saturated water vapor amount value for one or more planes that define the target space during the desired time period based on the predicted temperature and humidity value; a fourth prediction unit that predicts fluctuations in the amount of condensed water and the amount of evaporated water during the desired time period based on the predicted absolute humidity value and the predicted saturated water vapor amount value of the target space, and identifies a predicted value of the amount of condensed water in the target space during the desired time period; A condensation prevention setting device comprising:

2. The condensation countermeasure setting device of claim 1, wherein the first prediction unit identifies the temperature and humidity predicted value for each unit time period obtained by dividing the period from a reference time point to the desired future time period into one or more time periods, and identifies the temperature and humidity predicted value for the next unit time period based on the temperature and humidity predicted value for a specified unit time period.

3. 2. The anti-condensation countermeasure setting device of claim 1, wherein the first prediction unit determines the predicted temperature and humidity values ​​of the target space for each unit time period based on the pre-set operational setting information, the building specification information, target space information including the volume information and area information of the target space, temperature and humidity information of the target space, outside temperature and humidity information, and outside temperature and humidity prediction information.

4. The dew condensation countermeasure setting device according to claim 3 , wherein the temperature and humidity information is preset or is the predicted temperature and humidity values ​​for a unit time period immediately preceding a predetermined unit time period.

5. The condensation countermeasure setting device according to claim 2 , wherein the first prediction unit repeats specifying the predicted temperature and humidity values ​​for each unit time period in time series until the desired time period is reached.

6. 5. The anti-condensation countermeasure setting device according to claim 3, wherein the predetermined operational setting information for the target space includes at least one of predetermined ventilation information for the target space, predetermined heat-generating material information for the target space, and predetermined moisture generation information for the target space.

7. The condensation countermeasure setting device according to claim 1 , wherein the predicted temperature and humidity values ​​include predicted temperature and humidity values ​​at one or more observation points in the target space.

8. The condensation countermeasure setting device according to claim 1 , wherein the first prediction unit calculates the predicted temperature and humidity values ​​by fluid analysis.

9. The condensation countermeasure setting device according to claim 5 , further comprising a determination unit that determines whether the number of times the specified predicted value of the amount of condensation water exceeds a predetermined threshold corresponding to the desired time period is equal to or greater than a predetermined number of times.

10. When the number of times that the specified predicted value of the amount of condensed water exceeds the threshold is equal to or greater than a predetermined number of times, the determination unit outputs a determination result to the first prediction unit, The condensation countermeasure setting device according to claim 9 , wherein the first prediction unit changes the operational setting information in response to the determination result and further specifies a predicted value of the amount of condensation water in the desired time period.

Images