JP6660613B2 - Thermal insulation performance estimation device and thermal insulation performance estimation method - Google Patents

Description

  The present invention relates to a heat insulation performance estimating device for estimating the heat insulation performance of a building, and a heat insulation performance estimation method.

  Conventionally, a technique for estimating the heat insulation performance of a building is known. For example, Patent Literature 1 discloses a technique for estimating a heat loss coefficient (Q value) indicating the heat insulation performance of a building using heating room measurement data, building external measurement data, and a predetermined heat transfer model. I have.

JP 2011-237124 A

  In estimating the heat insulation performance as described above, it is necessary to improve the accuracy of the heat insulation performance estimation.

  The present invention provides a heat insulation performance estimation device and a heat insulation performance estimation method that can increase the accuracy of heat insulation performance estimation.

  A heat insulation performance estimation device according to one embodiment of the present invention is a first acquisition unit that acquires a measurement value of a room temperature of a building in which a temperature adjustment device that performs at least one of cooling and heating is installed, and a measurement of an outside air temperature of the building. A second acquisition unit that acquires a value, a measurement value of the acquired room temperature, which is a measurement value of the room temperature before the operation of the temperature adjustment device is stopped, a measurement value of the acquired outside air temperature, and a predetermined value. Using a heat transfer model to determine a function indicating a change over time in temperature, and fitting the determined function to time-series data of room temperature measurement values after the operation of the temperature adjustment device is stopped. And an estimating unit for estimating the thermal insulation performance of the building based on the approximate curve obtained by the method, wherein the estimating unit is configured such that, in the fitting, the influence of noise included in the time-series data or the time-series data Performs processing to reduce the effects of loss of data.

  The heat insulation performance estimation method according to one aspect of the present invention is a first acquisition step of acquiring a measured value of a room temperature in a building in which a temperature control device that performs at least one of cooling and heating is installed, and an outside air temperature of the building. A second acquisition step of acquiring a measured value, a measured value of the acquired room temperature, which is a measured value of the room temperature before the operation of the temperature adjustment device is stopped, a measured value of the acquired outside air temperature, and a predetermined value. Determining a function indicating a change over time in temperature using a heat transfer model, and the determined function, time-series data of a measured value of room temperature after the operation of the temperature adjustment device is stopped. And estimating the thermal insulation performance of the building based on an approximate curve obtained by fitting to the time series data. Effect of noise, or performs processing to reduce the effects of loss of data in the time series data.

  A program according to one embodiment of the present invention is a program for causing a computer to execute the heat insulation performance estimation method.

  The heat insulation performance estimation device and the heat insulation performance estimation method according to one embodiment of the present invention can increase the accuracy of heat insulation performance estimation.

FIG. 1 is a block diagram illustrating a configuration of the heat insulation performance estimation system according to the first embodiment. FIG. 2 is a diagram for explaining the heat transfer model. FIG. 3 is a flowchart of Operation Example 1 of the heat insulation performance estimation system according to Embodiment 1. FIG. 4 is a schematic diagram for explaining the effect of fitting using the weighted least squares method. FIG. 5 is a diagram illustrating an example of an image indicating heat insulation performance. FIG. 6 is a flowchart of Operation Example 2 of the heat insulation performance estimation system according to Embodiment 1. FIG. 7 is a flowchart of Operation Example 3 of the heat insulation performance estimation system according to Embodiment 1. FIG. 8 is a block diagram illustrating a configuration of the heat insulation performance estimation system according to the second embodiment. FIG. 9 is a flowchart of the operation of the heat insulation performance estimation system according to the second embodiment. FIG. 10 is a schematic diagram for explaining the detection operation of the detection unit.

  Hereinafter, embodiments will be described with reference to the drawings. Each of the embodiments described below shows a comprehensive or specific example. Numerical values, shapes, materials, constituent elements, arrangement positions and connection forms of constituent elements, steps, order of steps, and the like shown in the following embodiments are merely examples, and do not limit the present invention. In addition, among the components in the following embodiments, components not described in the independent claims indicating the highest concept are described as arbitrary components.

  Each drawing is a schematic diagram, and is not necessarily strictly illustrated. In each of the drawings, substantially the same components are denoted by the same reference numerals, and redundant description may be omitted or simplified.

(Embodiment 1)
[Overall configuration of thermal insulation performance estimation system]
First, the overall configuration of the heat insulation performance estimation system according to Embodiment 1 will be described. FIG. 1 is a block diagram illustrating a configuration of the heat insulation performance estimation system according to the first embodiment.

  As shown in FIG. 1, the heat insulation performance estimation system 100 includes a heat insulation performance estimation device 10, a room temperature measurement device 20, an outside air temperature measurement device 30, a temperature adjustment device 40, and a display device 50.

  The heat insulation performance estimation system 100 is a system for estimating heat insulation performance of a building such as a house. Hereinafter, each device constituting the heat insulation performance estimation system 100 will be described in detail.

[Room temperature measurement device]
The room temperature measuring device 20 is a device that is attached to a room or the like of a building and measures the temperature inside the building. The room temperature measuring device 20 specifically includes a temperature measuring element such as a thermistor or a thermocouple, and measures the temperature (room temperature) in the building at predetermined intervals.

  Further, the room temperature measurement device 20 has a communication module (communication circuit) for communicating with the heat insulation performance estimation device 10, and transmits a measured value of the room temperature to the heat insulation performance estimation device 10. The measured value of the room temperature is transmitted in a state where time information indicating a measurement time such as a time stamp is added. In a case where the measured value of the room temperature is transmitted in real time, the time information may be given by the heat insulation performance estimation device 10.

  When the room temperature measuring device 20 performs wireless communication with the adiabatic performance estimating device 10, the wireless communication method (communication standard) is, for example, a specific low-power wireless using a 920 MHz frequency band or the like, but ZigBee (registered trademark). , Bluetooth (registered trademark), or another communication standard such as a wireless LAN (Local Area Network). When the room temperature measurement device 20 performs wired communication with the heat insulation performance estimating device 10, the method of wired communication is not particularly limited, and a wired LAN may be used, or power line carrier communication may be performed.

  When the temperature adjustment device 40 has a temperature measurement function, the heat insulation performance estimating device 10 can acquire a measured value of room temperature from the temperature adjustment device 40. In this case, the heat insulation performance estimation system 100 does not need to include the room temperature measurement device 20.

[Ambient temperature measurement device]
The outside air temperature measuring device 30 is a device that is attached to an outer wall of a building or the like and measures the outside air temperature around the building. Specifically, the outside air temperature measurement device 30 includes an element for temperature measurement such as a thermistor or a thermocouple, and measures the outside air temperature of the building every predetermined period.

  In addition, the outside air temperature measurement device 30 has a communication module (communication circuit) for communicating with the heat insulation performance estimation device 10, and transmits a measured value of the outside air temperature to the heat insulation performance estimation device 10. The measurement value of the outside air temperature is transmitted in a state where time information indicating a measurement time such as a time stamp is added. In a case where the measured value of the outside air temperature is transmitted in real time, the time information may be given by the heat insulation performance estimation device 10.

  When the outside air temperature measurement device 30 performs wireless communication with the adiabatic performance estimation device 10, the wireless communication method (communication standard) is, for example, a specific low-power wireless using a 920 MHz frequency band or the like, but ZigBee (registered trademark) ), Bluetooth (registered trademark), or other communication standards such as wireless LAN. When the outside air temperature measuring device 30 performs wired communication with the heat insulation performance estimating device 10, the method of wired communication is not particularly limited, and a wired LAN may be used, or power line carrier communication may be performed. .

[Temperature control device]
The temperature adjusting device 40 is a device that adjusts the temperature in the building by performing at least one of cooling and heating. The temperature control device 40 is specifically an air conditioner, but may be another device such as an oil heater, as long as it can control the temperature in the building.

  The temperature adjustment device 40 has a communication module (communication circuit) for communicating with the heat insulation performance estimation device 10, and outputs operation state information indicating whether the temperature adjustment device 40 is operating or not to the heat insulation performance estimation device 10. Send to The operation information is, for example, log information of an operation performed by the user on the temperature adjustment device 40, power consumption information of the temperature adjustment device 40, and the like.

  The operation information only needs to include at least information that can specify the operation start timing of the temperature adjustment device 40 and the operation stop timing of the temperature adjustment device 40. For example, when the operation information is log information, the heat insulation performance estimating apparatus 10 can specify the timing at which the power is turned on as the operation start timing of the temperature adjustment device 40, and determines the timing at which the power is turned off as the temperature adjustment operation. The operation stop timing of the device 40 can be specified.

  When the operation information is the power consumption information, the heat insulation performance estimating apparatus 10 can specify the timing at which the power consumption rises from a substantially zero state as the operation start timing of the temperature adjustment device 40. The timing at which the temperature decreases to almost zero can be specified as the operation stop timing of the temperature adjustment device 40.

  The adiabatic performance estimating device 10 calculates the room temperature based on the time information given to the measured value of the room temperature, the operation start timing of the temperature adjustment device 40 included in the operation information, and the operation stop timing of the temperature adjustment device 40. It can be determined whether or not the measured value is the value during the operation of the temperature adjustment device 40. The same applies to the measured value of the outside air temperature.

  When the temperature adjustment device 40 performs wireless communication with the adiabatic performance estimation device 10, the wireless communication method (communication standard) is, for example, a specific low-power wireless using a 920 MHz frequency band or the like, but ZigBee (registered trademark) is used. , Bluetooth (registered trademark), or another communication standard such as a wireless LAN. When the temperature adjustment device 40 performs wired communication with the heat insulation performance estimating device 10, the method of wired communication is not particularly limited, and a wired LAN may be used, or power line carrier communication may be performed.

  Further, as described above, the temperature adjustment device 40 may have a temperature measurement function. In this case, the temperature adjustment device 40 transmits the operation information and the measured value of the room temperature to the heat insulation performance estimation device 10.

[Adiabatic performance estimation device]
The heat insulation performance estimation device 10 is a device for estimating the heat insulation performance of a building using a measured value of the room temperature of the building, a measured value of the outside air temperature of the building, and a predetermined heat transfer model. The heat insulation performance estimating apparatus 10 is specifically a HEMS (Home Energy Management System) controller, but may be an information communication terminal such as a personal computer. Specifically, the heat insulation performance estimation device 10 includes a communication unit 11, a control unit 12, and a storage unit 13. The control unit 12 includes an estimation unit 14, a determination unit 15, and a presentation unit 16.

  The communication unit 11 is, for example, a communication module (communication circuit) that allows the heat insulation performance estimation device 10 to communicate with the room temperature measurement device 20, the outside air temperature measurement device 30, and the temperature adjustment device 40.

  The communication unit 11 specifically functions as a first acquisition unit, and acquires (receives) a measured value of the room temperature of the building in which the temperature adjustment device 40 is installed from the room temperature measurement device 20. In addition, the communication unit 11 functions as a second acquisition unit, and acquires from the outside air temperature measurement device 30 a measured value of the outside air temperature of the building in which the temperature adjustment device 40 is installed. The communication unit 11 acquires operation information from the temperature adjustment device 40.

  The measured value of the room temperature may be acquired in real time each time the room temperature measurement device 20 measures the room temperature, or may be acquired collectively at a certain timing. The same applies to the measured value of the outside air temperature and the operation information.

  The method of communication between the communication unit 11 and the room temperature measurement device 20, the outside air temperature measurement device 30, and the temperature adjustment device 40 is not particularly limited as described above. When the communication systems of the room temperature measurement device 20, the outside air temperature measurement device 30, and the temperature adjustment device 40 are different from each other, a plurality of communication units 11 may be provided corresponding to each device.

  The storage unit 13 is a storage device that stores the measured value of the room temperature, the measured value of the outside air temperature, and the operation information acquired by the communication unit 11. The storage unit 13 is specifically realized by a semiconductor memory or the like. The storage unit 13 also stores a control program executed by the control unit 12.

  Further, the storage unit 13 stores a predetermined heat transfer model (model function) indicating a time change of the temperature. FIG. 2 is a diagram for explaining the heat transfer model. FIG. 2 shows a heat transfer model when the room temperature is adjusted to be higher than the outside air temperature (at the time of heating) by the temperature adjustment of the temperature adjustment device 40, but the room temperature is lower than the outside air temperature. The same applies to the heat transfer model when the state is adjusted (at the time of cooling).

  As shown in FIG. 2, the outside air temperature of the building is θa, and the room temperature during operation of the temperature adjustment device 40 is θc. Assuming that the time at which the temperature adjustment device 40 stops while the outside air temperature θa of the building and the room temperature θc during operation of the temperature adjustment device 40 are substantially constant is t = 0, the room temperature θr after t = 0 is theoretically Is represented by the following equation 1. Equation 1 is a heat transfer model, which is indicated by a solid line in FIG. In Equation 1, δ is the room temperature fluctuation rate, and the unit of the room temperature fluctuation rate is [1 / h].

  The control unit 12 is realized by a processor, a microcomputer, or a dedicated circuit, and stores the measured value of the room temperature, the measured value of the outside air temperature, and the operation information acquired by the communication unit 11 in the storage unit 13. Further, the control unit 12 includes an estimation unit 14, a determination unit 15, and a presentation unit 16, and estimates the heat insulation performance of the building. Hereinafter, a specific operation of each component included in the control unit 12 will be described.

  The estimating unit 14 uses a measured value of the room temperature before the operation of the temperature adjustment device 40 is stopped, a measured value of the acquired outside air temperature, and a function indicating a temporal change of the temperature using a predetermined heat transfer model. decide. The estimating unit 14 estimates the heat insulation performance of the building by fitting the determined function to the time-series data of the measured values of the room temperature after the operation of the temperature adjustment device is stopped.

  In addition, the estimating unit 14 performs a process of reducing the influence of noise included in the time-series data or the effect of data loss in the time-series data in the fitting. In the first embodiment, the estimation unit 14 fits a function to time-series data using statistical processing. By performing fitting using such statistical processing, the estimating unit 14 reduces the influence of noise included in the time-series data or the effect of data loss in the time-series data.

  In the first embodiment, a specific method used as the statistical processing is the weighted least squares method (robust estimation method). Note that another method such as a regression analysis other than the weighted least squares method may be used as long as the effect of data loss in the time series data can be reduced.

  The determination unit 15 functions as a first determination unit, and determines whether or not the amount of change in the measured value of the room temperature during the operation of the temperature adjustment device 40 is within the first amount of change. Note that “during operation” in this case does not include a period in which the room temperature is unavoidably unstable, such as immediately after the start of operation.

  As shown in FIG. 2, the estimation of the heat insulation performance using the heat transfer model is based on the premise that the room temperature θc is substantially constant during the operation of the temperature adjustment device 40. For this reason, when the fluctuation amount of the measured value of the room temperature during the operation of the temperature adjustment device 40 is large, the estimation accuracy decreases. Therefore, the estimation accuracy of the adiabatic performance is improved by the estimation unit 14 estimating the adiabatic performance only when the variation of the measured value of the room temperature during the operation of the temperature adjustment device 40 is within the first variation.

  In addition, the determination unit 15 functions as a second determination unit, and determines whether or not the amount of change in the measured value of the outside air temperature during the operation of the temperature adjustment device 40 is within the second amount of change.

  As shown in FIG. 2, the estimation of the heat insulation performance using the heat transfer model is based on the premise that the outside air temperature θa during the operation of the temperature adjustment device 40 is substantially constant. For this reason, when the fluctuation amount of the measured value of the outside air temperature during the operation of the temperature adjustment device 40 is large, the estimation accuracy is reduced. Therefore, the estimation unit 14 estimates the heat insulation performance only when it is determined that the amount of change in the outside air temperature of the building is within the second change amount, thereby improving the accuracy of the heat insulation performance estimation.

  The presentation unit 16 outputs display information for causing the display device 50 to display an image indicating the heat insulation performance estimated by the estimation unit 14. The display information is transmitted to the display device 50. For transmitting the display information, a communication module different from the communication unit 11 is used, but the communication unit 11 may be used. Also in this case, the communication method is not particularly limited.

  Note that the presentation unit 16 may output information for causing a sound output unit such as a speaker to output sound indicating heat insulation performance. That is, the heat insulation performance estimation system 100 may further include a sound output unit, and a sound indicating the heat insulation performance may be output from the sound output unit.

[Display device]
The display device 50 displays an image indicating the heat insulation performance. The display device 50 is, for example, a television, a smartphone, or a tablet terminal.

  In addition, the case where the heat insulation performance estimation apparatus 10 is provided with a display part is considered. For example, a case where the heat insulation performance estimation device 10 is realized as a smartphone or a tablet terminal is considered. In such a case, the heat insulation performance estimation system 100 may not include the display device 50. In this case, the image indicating the heat insulation performance is displayed on the display unit provided in the heat insulation performance estimation device 10.

[Operation Example 1]
Next, an operation example 1 of the heat insulation performance estimation system 100 will be described with reference to FIG. FIG. 3 is a flowchart of Operation Example 1 of the heat insulation performance estimation system 100.

  First, the communication unit 11 acquires the measured value of the room temperature in the building from the room temperature measurement device 20 (S11). Similarly, the communication unit 11 acquires the outside air temperature of the building from the outside air temperature measurement device 30 (S12). The acquired measured value of the room temperature and the acquired measured value of the outside air temperature are stored in the storage unit 13. As described above, the operation information is also stored in the storage unit 13.

  Next, the estimating unit 14 uses the measured value of the room temperature before the operation of the temperature adjustment device 40 is stopped, the measured value of the acquired outside air temperature, and the change with time of the temperature using a predetermined heat transfer model. The function to be shown is determined (S13). For example, the estimating unit 14 substitutes the measured value Tc of the room temperature when the operation of the temperature adjustment device 40 is stopped into θc in Expression 1, and substitutes the measured value Ta of the outside air temperature into θa in Expression 1. That is, the right side of Equation 1 after the measurement value is substituted is determined as the function f (δ). The function f (δ) includes δ as a fitting parameter (variable).

  The measured value of the room temperature when the operation of the temperature adjustment device 40 is stopped is a measurement value measured at a timing closest to the timing when the operation of the temperature adjustment device 40 is stopped. The estimating unit 14 specifies the measured value based on the operation information stored in the storage unit 13.

  Further, the measured value of the room temperature to be substituted may be an average value of the room temperature in a predetermined period during the operation of the temperature adjustment device 40. That is, the substituted room temperature measurement value may be determined based on the room temperature measurement value before the operation of the temperature adjustment device 40 is stopped. The measured value of the outside air temperature to be substituted may be an average value in a predetermined period during the operation of the temperature adjustment device 40 or in a predetermined period after the temperature adjustment device is stopped.

  Next, the estimating unit 14 reads out the time-series data of the measured values of the room temperature after the operation of the temperature adjustment device 40 is stopped from the storage unit 13 and reads out the function f (δ) determined in Step S13. The heat insulation performance of the building is estimated based on the approximate curve obtained by fitting the time series data (S14). The estimating unit 14 stores in the storage unit 13 whether or not the measured value of room temperature stored in the storage unit 13 is a measured value of room temperature after the operation of the temperature adjustment device 40 is stopped. The determination can be made based on the operation information.

  In the first embodiment, a weighted least squares method is used for fitting. FIG. 4 is a schematic diagram for explaining the effect of fitting using the weighted least squares method.

  The circles shown in FIG. 4 indicate measured values at room temperature. Here, as in the case of the measurement value A, when the least squares method is used when the measurement value A that is largely deviated from other measurement values and is estimated as noise is included in the time-series data, the time-series data includes Curve B is fitted, resulting in a large error.

  On the other hand, if the weighted least squares method in which the weight is reduced with respect to the measurement value A is used, a curve C having a smaller error than the curve B is fitted to the time-series data. Hereinafter, the weighted least squares method will be specifically described.

  First, an example of a method for determining the weight will be described. The estimating unit 14 fits the function f (δ) to the time-series data by the least squares method without weighting. Assuming that an error between the fitted curve and the measurement value included in the time-series data is d, a weight w (d) for the measurement value having the error d is represented by the following equation 2 with an allowable error range being W: expressed. The allowable range of the error is determined in advance and stored in the storage unit 13.

  Note that such a method of determining the weight is an example, and the estimating unit 14 may determine the weight such that the larger the measured value, the smaller the influence on the fitting.

  When the weight is determined, the estimation unit 14 performs fitting using the weighted least squares method based on the determined weight. The estimating unit 14 calculates a first value that is the square of the difference between each measurement value included in the time-series data and the value of the function f (δ) determined at the timing when the measurement value is obtained.

  Then, the estimating unit 14 calculates a second value obtained by multiplying the first value by a weight corresponding to the first value (weight determined based on the above Expression 2). Then, the estimating unit 14 obtains an approximate curve that minimizes the sum of the second values. The value of δ in the obtained approximate curve is an estimated value of the room temperature fluctuation rate. Note that the value of δ may be obtained after the determination of the weight and the fitting are repeated two or more times. That is, the estimation unit 14 may determine the weight and perform the fitting only once to obtain the estimated value (δ), or may repeat the determination of the weight and the fitting a plurality of times to calculate the estimated value (δ). You may ask.

  Here, assuming that the heat capacity of the building to be estimated is C [W / K], the once-through heat quantity q [W / (K · h)] is calculated by the following equation 3 using the obtained room temperature fluctuation rate δ. It is represented by The value of the heat capacity C is stored in the storage unit 13.

  As described above, the estimating unit 14 can calculate the estimated value of the once-through heat quantity q as the heat insulation performance. When the parameters related to the outer wall of the building are stored in the storage unit 13, the estimating unit 14 can also calculate the estimated value of the heat transmission coefficient as the heat insulation performance based on the estimated value of the through heat quantity q. In addition, when the total floor area of the building is stored in the storage unit 13, the estimation unit 14 can calculate the estimated value of the heat loss coefficient as the heat insulation performance based on the estimated value of the flow-through heat q.

  As described above, when the heat insulation performance is estimated, the presentation unit 16 presents (displays) the heat insulation performance (S15). The presentation unit 16 specifically outputs display information for causing the display device 50 to display an image indicating the heat insulation performance estimated by the estimation unit 14. As a result, an image as shown in FIG. 5 is displayed on the display unit of the display device 50. FIG. 5 is a diagram illustrating an example of an image indicating heat insulation performance.

  As described above, the estimating unit 14 performs a process of reducing the influence of noise included in the time-series data or the effect of data loss in the time-series data in the fitting. Specifically, the estimating unit 14 reduces the influence of noise included in the time-series data or the effect of data loss in the time-series data by performing fitting using the weighted least squares method.

  Thereby, the heat insulation performance estimation system 100 and the heat insulation performance estimation device 10 can increase the estimation accuracy of the heat insulation performance.

[Operation Example 2]
Next, an operation example 2 of the heat insulation performance estimation system 100 will be described with reference to FIG. FIG. 6 is a flowchart of Operation Example 2 of the heat insulation performance estimation system 100.

  The flowchart of the operation example 2 is different from the flowchart of the operation example 1 in that step S21 is added between step S12 and step S13.

  In step S21, the determination unit 15 refers to the storage unit 13 and determines whether or not the amount of change in the measured value of the room temperature during operation of the temperature adjustment device 40 is within the first amount of change. The first fluctuation amount is defined, for example, such that the difference between the maximum temperature and the minimum temperature during the operation of the temperature adjustment device 40 is within 2 ° C. The first variation may be defined as an average temperature ± 1 ° C. during operation of the temperature adjustment device 40. The determining unit 15 determines whether the measured value of the room temperature stored in the storage unit 13 is a measured value of the room temperature during the operation of the temperature adjustment device 40 based on the operation information stored in the storage unit 13. Can be determined.

  When the determination unit 15 determines that the amount of change in the measured value of the room temperature during the operation of the temperature adjustment device 40 is within the first amount of change (Yes in S21), steps S13 to S13 are performed as in the first operation example. The process of S15 is performed. This is because time-series data (measured value of room temperature) obtained when the fluctuation of room temperature is small is considered to be suitable for estimation of adiabatic performance.

  On the other hand, when the determination unit 15 determines that the fluctuation amount of the measured value of the room temperature during the operation of the temperature adjustment device 40 is larger than the first fluctuation amount (No in S21), the processing of steps S13 to S15 is not performed. Not done. This is because time-series data (measured value of room temperature) obtained when the fluctuation of room temperature is large is considered to be unsuitable for estimation of adiabatic performance. Note that, in this case, an image notifying that the measured value is defective may be displayed on the display unit of the display device 50.

  As described above, the estimating unit 14 estimates the heat insulation performance of the building when it is determined that the variation of the room temperature in the building during the operation of the temperature adjustment device 40 is within the first variation. Thereby, the heat insulation performance estimation system 100 and the heat insulation performance estimation device 10 can present the heat insulation performance with high estimation accuracy to the user.

[Operation example 3]
Next, an operation example 3 of the heat insulation performance estimation system 100 will be described with reference to FIG. FIG. 7 is a flowchart of Operation Example 3 of the heat insulation performance estimation system 100.

  The flowchart of the operation example 3 is different from the flowchart of the operation example 1 in that step S31 is added between step S12 and step S13.

  In step S31, the determination unit 15 refers to the storage unit 13 and refers to the amount of change in the measured value of the outside air temperature in the time period (hereinafter, also referred to as the target time period) in which the measured value of the room temperature used for estimation is measured. Is within the second variation amount. The second variation is defined, for example, such that the difference between the highest temperature and the lowest temperature in the target time zone is within 2 ° C. The second variation may be defined as an average temperature ± 1 ° C. in the target time zone. The determination unit 15 determines whether the measured value of the outside air temperature stored in the storage unit 13 is a measured value of the outside air temperature in a target time zone based on the operation information stored in the storage unit 13. You can judge.

  When the determination unit 15 determines that the fluctuation amount of the measured value of the outside air temperature in the target time zone is within the second fluctuation amount (Yes in S31), the processing in steps S13 to S15 is performed similarly to the operation example 1. Processing is performed. This is because time-series data (measured value of room temperature) obtained when the fluctuation of the outside air temperature is small is considered to be suitable for estimating the adiabatic performance.

  On the other hand, when the determination unit 15 determines that the fluctuation amount of the measured value of the room temperature in the target time zone is larger than the second fluctuation amount (No in S31), the processing of steps S13 to S15 is not performed. . This is because time-series data (measured value of room temperature) obtained when the fluctuation of the outside air temperature is large is considered to be not suitable for estimating the adiabatic performance. Note that, in this case, an image notifying that the measured value is defective may be displayed on the display unit of the display device 50.

  As described above, the estimating unit 14 estimates the thermal insulation performance of the building when it is determined that the variation in the outside air temperature of the building is within the second variation. Thereby, the heat insulation performance estimation system 100 and the heat insulation performance estimation device 10 can present the heat insulation performance with high estimation accuracy to the user.

  Operation example 3 may be combined with operation example 2. That is, both steps S21 and S31 may be added between steps S12 and S13 in the flowchart of the operation example 1.

(Embodiment 2)
Hereinafter, the configuration and operation of the heat insulation performance estimation system according to Embodiment 2 will be described. FIG. 8 is a block diagram illustrating a configuration of the heat insulation performance estimation system according to the second embodiment. FIG. 9 is a flowchart of the operation of the heat insulation performance estimation system according to the second embodiment.

  As shown in FIG. 8, the heat insulation performance estimation system 100a includes a heat insulation performance estimation device 10a, a room temperature measurement device 20, an outside air temperature measurement device 30, a temperature adjustment device 40, and a display device 50. The control unit 12a of the heat insulation performance estimation device 10a is different from the heat insulation performance estimation device 10 in further including a detection unit 17.

  Also, as shown in FIG. 9, the flowchart shown in FIG. 9 is different from the flowchart of the operation example 1 in that steps S41 and S42 are added between steps S12 and S13.

  Hereinafter, the operation of the detection unit 17 performed in step S41 and the operation of the estimation unit 14 performed in step S42 will be described with further reference to FIG. FIG. 10 is a schematic diagram for explaining the detection operation of the detection unit 17. The circles shown in FIG. 10 indicate measured values at room temperature.

  It is presumed that the room temperature is kept almost constant during the operation of the temperature adjusting device 40. Based on such estimation, it is considered that the fluctuation of the measured value of the room temperature during the operation of the temperature adjustment device 40 is noise (measurement system noise) or the like caused by the room temperature measurement device 20 or the like. For example, in a case where the temperature rises at a constant period as in the measurement value D shown in FIG. 10, there is a high possibility that the noise is a measurement system noise. That is, it is expected that the actual room temperature does not fluctuate in this way.

  Therefore, the detecting unit 17 detects such a change in the measured value (S41). In the example of FIG. 10, the detection unit 17 detects a temperature rise amount and a generation cycle of a periodic temperature rise such as the measurement value D. Then, the estimating unit 14 performs a process of correcting the time-series data according to the detected fluctuation in the fitting (S42). In the example of FIG. 10, three measurement values E are corrected as indicated by arrows according to the detection result of the detection unit 17.

  If the fitting is performed without performing the correction, a curve F having a large error will be fitted to the time-series data due to the influence of noise in the measurement system. On the other hand, when the fitting is performed after the correction, the curve G, which is considered to have a smaller error than the curve F, is fitted to the corrected time-series data.

  As described above, the detecting unit 17 detects the fluctuation of the measured value, and the estimating unit 14 corrects the time-series data according to the detected fluctuation of the measured value, thereby reducing the influence of noise included in the time-series data. can do.

  In the second embodiment, any method such as a least square method, a weighted least square method, and a robust estimation method may be used for the fitting performed in step S14.

[Effects]
As described above, the heat insulation performance estimation device 10 includes the communication unit 11 and the estimation unit 14. The communication unit 11 acquires a measured value of the room temperature of the building in which the temperature adjustment device 40 that performs at least one of cooling and heating is installed. In addition, the communication unit 11 acquires a measured value of the outside air temperature of the building. The communication unit 11 is an example of a first acquisition unit and a second acquisition unit.

  The estimating unit 14 calculates the acquired room temperature measurement value when the operation of the temperature adjustment device 40 is stopped, the acquired outside air temperature measurement value, and a predetermined heat transfer model. To determine a function indicating the change over time in temperature. The estimating unit 14 estimates the thermal insulation performance of the building based on an approximate curve obtained by fitting the determined function to the time-series data of the measured values of the room temperature after the operation of the temperature adjustment device 40 is stopped. . In addition, the estimating unit 14 performs a process of reducing the influence of noise included in the time-series data or the effect of data loss in the time-series data in the fitting.

  Thereby, the heat insulation performance estimating apparatus 10 can improve the estimation accuracy of the heat insulation performance.

  The estimating unit 14 may fit the function to the time-series data using a statistical process. The estimation unit 14 may reduce the effect of noise included in the time-series data or the effect of data loss in the time-series data by fitting using statistical processing.

  As described above, the heat insulation performance estimation device 10 can improve the accuracy of heat insulation performance estimation by fitting using statistical processing.

  Further, the estimating unit 14 fits the function to the time-series data using a weighted least squares method as a statistical process, and performs an influence of noise included in the time-series data by fitting using the weighted least squares method. Alternatively, the effect of data loss in the time-series data may be reduced.

  Thus, the heat insulation performance estimating apparatus 10 can improve the accuracy of heat insulation performance estimation by fitting using the weighted least squares method.

  Further, the heat insulation performance estimating device 10 may further include a determination unit 15 that determines whether or not the amount of change in the measured value of the room temperature during the operation of the temperature adjusting device 40 is within the first amount of change. The determination unit 15 is an example of a first determination unit. The estimating unit 14 may estimate the thermal insulation performance of the building when it is determined that the variation of the measured value of the room temperature during the operation of the temperature adjustment device 40 is within the first variation.

  Thereby, the heat insulation performance estimation device 10 can further improve the estimation accuracy of the heat insulation performance.

  Further, a determination unit 15 for determining whether or not the amount of change in the measured value of the outside air temperature is within the second amount of change may be provided. The determination unit 15 is an example of a second determination unit. The estimating unit 14 may estimate the heat insulation performance of the building when it is determined that the variation in the outside air temperature is within the second variation.

  Thereby, the heat insulation performance estimation device 10 can further improve the estimation accuracy of the heat insulation performance.

  Further, the heat insulation performance estimation device 10a further includes a detection unit 17 that detects a change in the measured value of the room temperature during the operation of the temperature adjustment device 40. The estimating unit 14 of the adiabatic performance estimating apparatus 10a reduces the influence of noise included in the time-series data by performing processing for correcting the time-series data according to the detected fluctuation in the fitting.

  Thereby, the heat insulation performance estimating apparatus 10a can improve the estimation accuracy of the heat insulation performance.

(Other embodiments)
As described above, the heat insulation performance estimation system according to the embodiment has been described, but the present invention is not limited to the above embodiment.

  For example, in the above embodiment, the operation of the heat insulation performance estimation system when the room temperature is adjusted to be higher than the outside air temperature (at the time of heating) by the temperature adjustment of the temperature adjustment device 40 has been described. However, the heat insulation performance estimation system can perform the same operation even when the room temperature is adjusted to be lower than the outside air temperature (during cooling).

  Also, the allocation of the components to the devices in the above embodiment is an example. For example, the heat insulation performance estimation device and the display device are different devices, but may be one device. Further, in the above-described embodiment, a process executed by a specific processing unit may be executed by another processing unit.

  Further, in the above embodiment, each component may be configured by dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

  Each component may be a circuit (or an integrated circuit). These circuits may constitute one circuit as a whole, or may be separate circuits. Each of these circuits may be a general-purpose circuit or a dedicated circuit.

  Further, general or specific aspects of the present invention may be realized by a recording medium such as a system, an apparatus, a method, an integrated circuit, a computer program, or a computer-readable CD-ROM. Further, the present invention may be realized by an arbitrary combination of a system, an apparatus, a method, an integrated circuit, a computer program, and a recording medium. For example, the present invention may be realized as a heat insulation performance estimation method executed by a heat insulation performance estimation system. Further, the present invention may be realized as a program for causing a computer to execute the heat insulation performance estimation method.

  The order of the plurality of processes in the operation of the heat insulation performance estimation system described in the above embodiment is an example. The order of the plurality of processes may be changed, and the plurality of processes may be executed in parallel.

  In addition, a form obtained by performing various modifications conceivable by those skilled in the art to each embodiment, or realized by arbitrarily combining components and functions in each embodiment without departing from the spirit of the present invention. Embodiments are also included in the present invention.

10, 10a Thermal insulation performance estimation device 11 Communication unit (first acquisition unit, second acquisition unit)
12, 12a control unit 14 estimation unit 15 determination unit 17 detection unit 40 temperature adjustment device

Claims (8)

A first acquisition unit that acquires a measured value of the room temperature of a building in which a temperature adjustment device that performs at least one of cooling and heating is installed,
A second acquisition unit that acquires a measurement value of the outside air temperature of the building,
Using the acquired room temperature measurement value and the room temperature measurement value before the operation of the temperature adjustment device is stopped, the acquired outside air temperature measurement value, and a predetermined heat transfer model, A function indicating a change is determined, and the determined function is fitted to the time series data of room temperature measurement values after the operation of the temperature adjustment device is stopped. And an estimating unit for estimating the heat insulation performance of
The adiabatic performance estimating device, wherein the estimating unit performs a process of reducing the influence of noise included in the time-series data or the effect of data loss in the time-series data in the fitting. The estimating unit includes:
Using statistical processing, fitting the function to the time-series data,
The adiabatic performance estimating device according to claim 1, wherein an effect of noise included in the time-series data or an effect of data loss in the time-series data is reduced by fitting using the statistical processing. The estimating unit includes:
Using a weighted least squares method as the statistical processing, fitting the function to the time series data,
The heat insulation performance estimating apparatus according to claim 2, wherein the effect of noise included in the time series data or the effect of data loss in the time series data is reduced by fitting using the weighted least squares method. Further, a first determination unit that determines whether the variation in the measured value of the room temperature during the operation of the temperature adjustment device is within a first variation,
The said estimation part estimates the heat insulation performance of the said building, when it is determined that the fluctuation | variation of the said measured value of the room temperature during the said operation | movement of the said temperature control apparatus is within the said 1st fluctuation | variation. The heat insulation performance estimating device according to any one of claims 3 to 3. Further, a second determination unit that determines whether the variation of the measured value of the outside air temperature is within a second variation,
The thermal insulation according to any one of claims 1 to 4, wherein the estimating unit estimates thermal insulation performance of the building when the variation in the outside air temperature is determined to be within the second variation. Performance estimation device. Further, a detection unit that detects a change in the measured value of the room temperature during the operation of the temperature adjustment device,
The heat insulation performance according to claim 1, wherein the estimating unit reduces the influence of noise included in the time-series data by performing a process of correcting the time-series data according to the detected fluctuation in the fitting. Estimation device. A first acquisition step of acquiring a measured value of room temperature in a building in which a temperature adjustment device performing at least one of cooling and heating is installed,
A second acquisition step of acquiring a measurement value of the outside temperature of the building,
Using the acquired room temperature measurement value and the room temperature measurement value before the operation of the temperature adjustment device is stopped, the acquired outside air temperature measurement value, and a predetermined heat transfer model, A determining step of determining a function indicating the change;
An estimation step of estimating the thermal insulation performance of the building based on an approximate curve obtained by fitting the determined function to time-series data of room temperature measurement values after the operation of the temperature adjustment device is stopped. And
The adiabatic performance estimating method, wherein, in the estimating step, in the fitting, a process of reducing an influence of noise included in the time-series data or an effect of data loss in the time-series data is performed.   A program for causing a computer to execute the heat insulation performance estimation method according to claim 7.

Images