JP5570847B2 - Insulation performance measurement system - Google Patents

Description

  The present invention relates to a heat insulation performance measurement system that measures the heat insulation performance of a building such as a detached house or an apartment house.

  Conventionally, when managing the interior of a building such as an office building or factory in units of sections, measure the energy consumption of each section such as electricity, gas, water, etc., and display the measurement results on the screen. Management systems that encourage users to save energy are known (see Patent Document 1, etc.).

Moreover, in this patent document 1, in order to calculate the optimum value of energy consumption of each section, meteorological data such as outside air temperature, measured values of indoor conditions such as indoor temperature and humidity and the number of people in the room, buildings and sections Building data such as thermal efficiency is used. Furthermore, the consumed energy is converted into CO ₂ emissions and waste emissions, and a target achievement rate is calculated and distributed to terminals in each section.

  In addition, when managing a building such as a building, Patent Document 2 accumulates measured values of energy consumption such as electricity and gas, and compares them with the current situation when a problem occurs. It is disclosed to specify a defect.

JP 2007-133469 A Japanese Patent No. 3025818

  However, the management system disclosed in the conventional patent document 1 shows the results in an easy-to-understand manner to the users and managers of each section with the goal of reducing energy consumption, and has an influence on energy consumption. It cannot measure the thermal insulation performance of large buildings.

  Moreover, although the system disclosed in Patent Document 2 accumulates actual measurement data of energy consumption of facility equipment, it is only used for finding abnormalities in equipment.

  Therefore, an object of the present invention is to provide a heat insulation performance measuring system capable of easily measuring the heat insulation performance of a current building.

  In order to achieve the above object, the thermal insulation performance measurement system of the present invention includes an internal state measurement unit that is installed inside a building and measures a temperature, an external state acquisition unit that acquires a temperature outside the building, Data storage means for recording the actual measurement data detected by the internal state measurement means and the external state acquisition means in a state in which the time can be specified, and the thermal insulation performance of the building is analyzed from the actual measurement data stored in the data storage means And a heat insulation performance analyzing means.

  Further, another heat insulation performance measuring system of the present invention includes an internal state measuring unit that is installed inside a building and measures temperature, an external state acquiring unit that acquires a temperature outside the building, and an inside of the building. Internal heat quantity measuring means for measuring the amount of heat generated, data storage means for recording measured data detected by the internal state measurement means, the external state acquisition means, and the internal heat quantity measurement means, and stored in the data storage means Insulation performance analysis means for analyzing the insulation performance of the building from the actually measured data. Here, the internal heat quantity measuring means may be energy consumption measuring means for measuring energy consumption of a heat generating device installed inside the building.

  Furthermore, it is preferable that the internal state measuring means is installed at a plurality of locations inside the building.

  Further, the internal state measuring means has a temperature measuring instrument for measuring temperature and a communication unit for transmitting the measured value, and the data storage means is transmitted from the communication part of the internal state measuring means. It can also be set as the structure by which a measured value is recorded. Furthermore, the external state acquisition means can also be configured to include a temperature measuring instrument that measures the temperature outside the building and a communication unit that transmits the measured value.

  Further, the data storage means records measured data and heat insulation performance in association with a building whose heat insulation performance is known, and the heat insulation performance analysis means records actual data associated with a plurality of the heat insulation performance. It is also possible to calculate the representative temperature transition pattern for each heat insulation performance based on the above, and calculate the heat insulation performance by comparing the measured data of the building for which the heat insulation performance is measured with the representative temperature transition pattern. In particular, it is preferable that the actually measured data inside the building and the actually measured data inside the building that measures the heat insulation performance used when calculating the representative temperature transition pattern are temperatures measured in a non-residential room. Further, the data storage means may be configured such that attribute information relating to a building is recorded in association with actual measurement data.

  Another heat insulation performance measurement system of the present invention is a building information including at least one of a plurality of building structures, sizes, floor plans, opening sizes, opening positions, addresses, orientations, heat insulating specifications, and building ages. Is stored in association with the heat insulation performance, and the heat insulation performance estimation means for calculating the heat insulation performance by comparing the building information of the building that measures the heat insulation performance with the building information of the building database. It is characterized by that.

  The heat insulation performance measuring system of the present invention configured as described above measures the temperature inside and outside the building, and records it in a state where the time can be specified in the data storage means. And the thermal insulation performance analysis means which analyzes the thermal insulation performance of a building from the accumulated measured data is provided.

  For this reason, it is possible to easily measure the current thermal insulation performance of the building without forcibly causing internal heat generation by the heat generating device and making the building in a special state for measurement, creating a comfortable living environment. Therefore, it can be used to determine whether the heat insulation performance of the building should be improved or the air conditioner should be replaced.

  That is, it can be said that a building with low thermal insulation performance has a high possibility of consuming energy wastefully and has a large load on the environment. On the other hand, the thermal insulation performance of a building can usually be measured only in an experimental building where the experimental environment can be specified. On the other hand, if it is possible to easily know the heat insulation performance of an existing building in use, it is possible to grasp whether or not the energy consumption can be significantly reduced by reform.

  Moreover, if the internal calorific value measuring means is provided, even if there is internal heat generation due to the use of the building, the heat insulation performance of the building can be measured in consideration of the calorific value. In particular, if the internal heat is generated from a heating device that consumes electricity or gas, such as a heating device or a gas stove, measuring the energy consumption makes it easy to calculate the amount of heat generated inside the building. It can be converted.

  Furthermore, by installing the internal state measuring means at a plurality of locations inside the building, the estimation accuracy of the temperature inside the building is improved, and the heat insulation performance of the building can be calculated more accurately.

  Moreover, if it is an internal state measurement means provided with the communication part which transmits a measured value, data can be automatically accumulate | stored in a data storage means only by installing in a predetermined position. Furthermore, if a temperature measuring device for measuring the temperature outside the building is provided, the actual outside air temperature around the building can be acquired, and the analysis accuracy of the heat insulation performance can be improved.

  Moreover, the representative temperature transition pattern for each heat insulation performance can be calculated by associating the measured data and the heat insulation performance in association with the data storage means for a building having a known heat insulation performance.

  And this insulation temperature performance is estimated by comparing this representative temperature transition pattern and the actual measurement data of the building used as a measuring object, and extracting the same or similar representative temperature transition pattern.

  For this reason, it is possible to easily estimate the heat insulation performance of an actual building which is difficult to measure the heat insulation performance constructed by a conventional construction method.

  In addition, when calculating the representative temperature transition pattern, by using the temperature measured in the non-occupied room, the effects of differences in the size of the building, floor plan, area, orientation, air conditioner performance or number of residents, etc. It can be made difficult to receive.

  Furthermore, the attribute information about the building is recorded in the data storage means in association with the actual measurement data, so that the representative temperature transition pattern can be calculated from samples similar to the attribute information, and the estimation accuracy of the heat insulation performance can be improved. it can.

  And the heat insulation performance can also be estimated from the similarity of building information by constructing a building database of buildings whose heat insulation performance has been measured in the past.

It is a block diagram explaining the structure of the heat insulation performance measuring system of embodiment of this invention. It is explanatory drawing explaining the structure of the house to which the heat insulation performance measuring system of embodiment of this invention is applied. It is a perspective view explaining the structure of a measurement tap. It is a block diagram explaining the structure of a measurement tap. It is the graph by which the actual measurement data for demonstrating the analysis method of the heat insulation performance by the heat insulation performance analysis means were plotted. It is a flowchart explaining the flow of a process of the heat insulation performance analysis means of Example 1. 10 is a flowchart illustrating a flow of processing for calculating heat insulation performance according to the second embodiment. 10 is a table for explaining a method of calculating the heat insulation performance of Example 2. It is a block diagram explaining the structure of the heat insulation performance measurement system of Example 3. FIG. 12 is a flowchart for explaining a flow of processing for calculating heat insulation performance in Example 3;

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram showing a configuration of a heat insulation performance measuring system of the present invention, and FIG. 2 is an explanatory diagram for explaining a configuration of each means arranged in a house 10 as a building.

  The heat insulation performance measurement system for the house 10 is installed as an internal state measuring means 1 that is installed at a plurality of locations inside the house 10 and measures the temperature of each place, and an external state acquisition means that obtains the temperature outside the house 10. External state measuring means 2, energy consumption measuring means 3 for measuring the energy consumption of equipment installed in the house 10, and actual measurement data detected by these measuring means 1, 2, 3 together with time history Data storage means 5 for recording, heat insulation performance analysis means 6 for analyzing the heat insulation performance of the house 10 from measured data stored in the data storage means 5, and output means 7 for outputting the analysis results are mainly provided. .

  As shown in FIG. 2, the internal state measuring means 1 is a means for measuring an internal state such as room temperature and humidity provided with a temperature sensor 11, a humidity sensor 12, and the like disposed inside the house 10.

  This house 10 has a first floor part 10a and a second floor part 10b. A temperature sensor 11 as a temperature measuring instrument and a humidity sensor 12 as a humidity measuring instrument are attached to each space, and the room temperature and humidity are measured. It is. In addition, when there are a plurality of rooms on the first floor 10a and the second floor 10b, the temperature sensor 11 and the humidity sensor 12 can be attached to each room.

  The external state measuring means 2 is a means for measuring the outside air temperature, humidity and the like outside the house 10, and is composed of a temperature sensor 21 as a temperature measuring instrument, a humidity sensor 22 as a humidity measuring instrument, and the like. The Here, since the outdoor temperature and humidity are usually different between the sunny side and the shade side of the house 10, it is preferable to install the temperature sensor 21 and the humidity sensor 22 at a plurality of locations. Furthermore, a sensor for measuring the wind speed, the wind direction, the amount of sunlight, and the like may be installed.

  In addition, it may be an external state acquisition unit that acquires and uses the weather data of the surrounding area provided by the Japan Meteorological Agency or the like instead of measuring by itself.

  The energy consumption measuring means 3 is a means for measuring energy consumption such as electricity and gas. For example, when using an air conditioner 31, an illumination device 32, a pump 33, a heat generator 37 such as a heat heater, a heat pump water heater (not shown) or the like that operates as electricity as equipment, the power consumption is the energy consumption. Measure as Here, the air conditioner 31 includes a cooling device, a heating device, a dehumidifying device, a humidifying device, and the like.

  In addition, these electric equipment devices are mainly operated by electric power from a commercial power supply system supplied from an electric power company or the like, but the solar power generation panels 10d,. If power is being generated, the power can be used. Furthermore, electric power from a fuel cell, an internal combustion type small power generator, a Stirling engine, or the like can be used.

  The power measuring device 30A for measuring such power consumption is connected to the distribution board 34, and the measured power consumption is output as measured data of a digital value and sent to the data storage means 5. Further, the power measuring device 30A is configured to be able to individually measure the power consumption of each device such as the air conditioner 31, the lighting device 32, and the pump 33.

  As one of means for individually measuring the power consumption of this electrical equipment, a measuring tap 81 provided with an internal state measuring means 1 as shown in FIG. 3 is used.

  The measurement tap 81 can be attached to all power load devices in the house 10, but can also be attached only to a specific power load device such as a device with high power consumption such as an air conditioner or a refrigerator.

  As shown in FIG. 3, the measurement tap 81 is connected to a plug 811 as an insertion portion to be inserted into a power outlet provided on the wall of the house 10, an outlet 812 as a receiving port, and the outlet 812. It is mainly composed of a power consumption measuring device 813 that measures the power consumption of the electrical equipment and a communication unit 814 that transmits a measurement value by the power consumption measuring device 813.

  The outlet 812 is formed to supply power supplied from the power outlet to the electrical equipment. In FIG. 3, only one outlet 812 is formed, but a table tap type measuring tap provided with a plurality of outlets 812 may be used.

  Further, a temperature sensor and a humidity sensor as sensors for measuring the internal state of the house 10 are attached to the measurement tap 81 of the present embodiment as a temperature / humidity sensor 815. The temperature / humidity sensor 815 is a sensor that measures the temperature and humidity of a room (specifically, the installation position of the measurement tap 81) in which the measurement tap 81 is attached.

  Furthermore, a human sensor 816 as a sensor for measuring the internal state of the house 10 is attached to the measurement tap 81. The human sensor 816 is a sensor that detects the presence or absence of a person in the house 10, that is, in a room to which the measurement tap 81 is attached. The human sensor 816 detects the presence or absence of a person using an infrared sensor or a thermal sensor, and generates a signal when detecting the presence of a person.

  FIG. 4 is a block diagram illustrating the configuration of the measurement tap 81. Inside the measurement tap 81, the plug 811 and the outlet 812 are connected and an alternating current (AC) is energized. Further, a relay unit 818 is provided between the plug 811 and the outlet 812, and is configured such that on / off energization control can be performed by control by the control unit 817.

  Inside the measurement tap 81, a power consumption measuring device 813 for measuring the power consumption consumed by the outlet 812 is provided. The power consumption measuring instrument 813 includes a current sensor that measures a current flowing between the plug 811 and the outlet 812 and a voltage sensor that measures a voltage between the plug 811 and the outlet 812.

  Furthermore, the analog value measured by the current sensor and the voltage sensor is converted into a digital value by the control unit 817. A relay unit 818, a communication unit 814, a temperature / humidity sensor 815, a human sensor 816, a monitor LED 819, and the like are connected to the control unit 817.

  The communication unit 814 is configured to transmit and receive data to and from the aggregation management device 50 wirelessly. This transmission / reception of data is performed at a fixed interval, a storage amount of data to be transmitted, or timing such as when data requiring transmission / reception is generated.

  The data transmitted by the communication unit 814 is data converted into a digital value such as a measured current value or voltage value, or an electric energy calculated therefrom. On the other hand, the data received by the communication unit 814 is various signals for controlling the control unit 817 such as a control signal transmitted from the tabulation management device 50 in order to perform energization control of the relay unit 818. Note that the communication unit 814 may be configured to be connected by wire.

  The monitor LED 819 is a function for performing display according to the magnitude of the power consumption measured by the power consumption meter 813. For example, when the power consumption is small, an LED (light emitting diode) emits light in green, and the magnitude of the power consumption is determined stepwise by the control unit 817. As the power consumption increases, yellow, orange, red The color displayed by the monitor LED 819 is changed.

  The control of the color displayed on the monitor LED 819 is performed by transmitting the measured value to the total management device 50 once by the communication unit 814 and receiving the result determined by the total management device 50 by the communication unit 814. Alternatively, the light may be emitted in a color based on the above.

  Moreover, in the house 10, when using the gas water heater 35, the gas stove (illustration omitted), the gas stove, etc. as a hot water supply equipment which operate | moves with gas as equipment, the gas consumption is measured as an energy consumption.

  The gas measuring device 30B for measuring the gas consumption is connected to the gas meter 36, and the measured value is converted into digital data and sent to the totalization management device 50 as measured data. Further, in the hot water supply amount measuring device 350 connected to the gas water heater 35, the hot water supply amount supplied as hot water is measured, and the actual measurement data output as a digital value is sent to the aggregation management device 50.

  Furthermore, the water used in the sink 41, the water supplied to the gas water heater 35, the water used for a bath or a toilet (not shown), etc. are measured as water consumption.

  The water meter 40 for measuring the water consumption is connected to a water meter 42, and the measured value is digitally converted and sent to the totalization management device 50 as measured data.

  The tabulation management device 50 includes a communication unit that receives actual measurement data detected by the internal state measurement unit 1, the external state measurement unit 2, and the energy consumption measurement unit 3, and a data storage that records the received actual measurement data. Means 5 and heat insulation performance analysis means 6 for analyzing the heat insulation performance of the house 10 from the measured data stored in the data storage means 5 are provided.

  When the total management device 50 receives actual measurement data from the internal state measurement unit 1, the external state measurement unit 2, and the energy consumption measurement unit 3, the date and time when the actual measurement data was received is added as a time history. Further, the communication between the internal state measuring unit 1, the external state measuring unit 2, the energy consumption measuring unit 3 and the tabulation management device 50 is performed either wirelessly or wiredly. There may be.

  Further, the actual measurement data received by the tabulation management device 50 in this way is recorded in the internal data storage means 5. The data storage means 5 can be a storage device such as a hard disk, an optical disk, or a RAM (Random Access Memory).

  In addition, the totalization management device 50 is provided with a heat insulation performance analysis means 6. The data storage means 5 and the heat insulation performance analysis means 6 can also be provided in the main server 60 connected to the tabulation management device 50 through the communication network 51. In this case, the actual measurement data is temporarily stored in the storage unit of the totalization management device 50 and is transmitted to the main server 60 through the communication network 51 periodically or when a transmission command signal is input.

  Then, the analysis method of the heat insulation performance analysis means 6 when there is no or almost no heat generation inside the house 10 will be described.

  First, it is necessary to select a time when there is little or no heat generated inside the house 10. Here, factors affecting the measurement of heat insulation performance include the operation of an air conditioner 31 such as heating and cooling, the heat generation of a person, the opening and closing of windows and doors, the operation of electrical equipment such as a lighting device 32, a TV and a refrigerator, For example, the operation of the heat generating device 37 may be mentioned.

  Therefore, it is desirable to measure the heat insulation performance by selecting a time when these influences are small. For example, in terms of the season, winters where heating is used and summers where cooling is used are avoided, and measurement is performed by selecting a time when the air conditioner 31 need not be used in spring or autumn. In addition, it is preferable to perform measurement at bedtime when the amount of heat generated by human activity is small, windows and doors are not opened and closed, and the lighting device 32 and the switch of the television are turned off.

  The time for measuring such heat insulation performance can be arbitrarily set. For example, room temperature and outside air temperature can be measured at midnight when no residents are in the spring or autumn, and the heat insulation performance can be analyzed based on the actual measurement data.

  Moreover, the heat insulation performance analysis means 6 can be made to judge a measurement time. For example, if the measured value of the energy consumption measuring means 3 is a small value, it can be determined that the electrical equipment is almost not operating and there is almost no heat generation therefrom.

  Further, by connecting the measuring tap 81 to an electrical equipment device that generates a large amount of heat during operation, when the measured value of the power consumption meter 813 is close to 0, it is determined that there is almost no heat generation. It can also be made.

  Furthermore, if the movement of a person is detected from the detection result of the human sensor 816, it can be determined that the person is awake and the heat generation amount is large. For example, measurement taps 81,... Are installed in a plurality of rooms, and when the human sensor 816 repeats detection within a short time, it is determined that a person is awake. Further, if the human sensor 816,... In a room other than the bedroom does not detect the presence of a person at night for a certain time or more, it is determined that the person is sleeping.

  Then, the temperature is measured by the internal state measuring means 1 and the external state measuring means 2 in a time zone suitable for the measurement of the heat insulation performance selected in this way. It should be noted that such temperature measurement is performed at any time, and the actual measurement in the time zone suitable for the measurement of the heat insulation performance is performed from the actual measurement data stored in the data storage means 5 in a state where the time can be specified. Data may be extracted and used for analysis.

  In addition, when the measurement taps 81,... Are attached to each room of the house 10, a plurality of room temperatures are measured. The plurality of room temperature data can be used for analysis as the room temperature of the entire house 10 on average. In this case, the average room temperature can be calculated by changing the weight depending on the position (the first or second floor, the height from the floor, etc.) where the measurement taps 81 are attached. On the other hand, it is also possible to analyze the heat insulation performance of each room in which the measurement taps 81,.

  Here, FIG. 5 shows actual measurement data obtained by measuring the temperature in the time zone from 1 o'clock midnight to 5 o'clock in the three houses 10,. It is a graph.

  First, in the first house 10 shown in FIG. 5A, the room temperature at 1 o'clock at midnight was measured as 15 ° C., and the room temperature at 5 o'clock in the early morning was measured as 10 ° C. Also, the outside air temperature at this time was measured as 10 ° C. at 1 o'clock at midnight and 5 ° C. at 5 o'clock in the early morning.

  In the second house 10 shown in FIG. 5B, the room temperature at 1 o'clock at midnight was measured as 15 ° C., and the room temperature at 5 o'clock in the early morning was measured as 9 ° C. Also, the outside air temperature at this time was measured as 10 ° C. at 1 o'clock at midnight and 5 ° C. at 5 o'clock in the early morning.

  Furthermore, in the third house 10 shown in FIG. 5C, the room temperature at 1 o'clock at midnight was measured as 15 ° C., and the room temperature at 5 o'clock in the early morning was measured as 6 ° C. Also, the outside air temperature at this time was measured as 10 ° C. at 1 o'clock at midnight and 5 ° C. at 5 o'clock in the early morning.

  The heat insulation performance of the three houses 10,... Is comparable, because all the houses 10,... Have the same outside air temperature and room temperature at midnight. It can be said that the heat insulation performance is higher in descending order of the temperature difference from the temperature.

  On the other hand, when measuring the heat insulation performance of one house 10 that is not compared, the heat insulation performance can be evaluated by ranks such as AA, A, B, C, D, and E.

  For example, if the temperature difference between the room temperature and the outside air temperature at the start of temperature measurement (midnight 1:00) is X, and the temperature difference between the room temperature and the outside air temperature at the end of measurement (early 5:00 am) is Y, Y is 1.3. Evaluation A if X or more, Evaluation A if 1.1X to 1.3X, Evaluation B if 0.9X to 1.1X, Evaluation C if 0.5X to 0.9X, Evaluation if 0.2X to 0.5X D, an analysis that gives an evaluation E if it is less than 0.2X can be performed by the adiabatic performance analysis means 6.

  For example, the house 10 in FIG. 5A is rated B because X = 5 ° C. and Y = 5 ° C., and the house 10 in FIG. 5B is evaluated C because X = 5 ° C. and Y = 4 ° C. Thus, the house 10 in FIG. 5C is evaluated D because X = 5 ° C. and Y = 1 ° C.

  In addition, when evaluating a heat insulation performance, since a heat capacity changes with structures of the house 10, the correction | amendment based on a structure can be performed.

  Further, the evaluation of the heat insulation performance of the house 10 analyzed by the heat insulation performance analysis means 6 and the actual measurement data serving as the reference are output to the output means 7 such as a printer, a display, or a storage device.

  Next, the effect | action of the heat insulation performance measuring system of this Embodiment is demonstrated.

  The heat insulation performance measuring system of the present embodiment configured as described above measures the temperature inside and outside the house 10 and records it in the data storage means 5 together with the time history. And the heat insulation performance analysis means 6 which analyzes the heat insulation performance of the house 10 from the accumulated measured data is provided.

  For this reason, the present heat insulation performance of the house 10 can be easily grasped, and it is determined whether the heat insulation performance of the house 10 should be improved or the air conditioner 31 should be replaced in order to create a comfortable living environment. Can be used.

  That is, it is difficult to measure the heat insulation performance of the existing house 10, and usually a heating device 37 with a known heat generation amount is installed inside the building built as an experimental building, and the heating device 37 forcibly inserts the inside. Measurement is performed by generating heat.

  On the other hand, with the heat insulation performance measurement system of the present embodiment, the heat insulation performance can be measured while living normally in the house 10, so the current heat insulation performance of each house 10 can be easily grasped. be able to.

  Moreover, in order to air-condition the house 10 with low heat insulation performance, a large-sized air conditioner 31 with a large output is required. However, such a large-sized air conditioner 31 not only increases the initial purchase cost, Running costs are also high. In addition, energy consumption such as electricity and gas is large, and the load on the environment is also large.

  On the other hand, knowing the level of heat insulation performance of the current house 10, it is a house 10 with a sufficient heat insulation performance, whether the heat insulation performance is low enough that the heat insulation performance can be remarkably improved by a little reform. It is possible to grasp whether it is 10.

  And if it is the house 10 which can reduce energy consumption significantly by renovation, it can choose to improve the heat insulation performance of the house 10 by renovation rather than enlarging the air conditioner 31.

  Moreover, if it judges based on the measurement result of heat insulation performance, there is no waste which replaces or refurbishes the air conditioner 31 and heat insulation member which can still be used enough, and it is accurate for creating a comfortable living environment. Judgment can be made.

  Furthermore, the internal state measuring means 1 can be installed at a plurality of locations inside the house 10, and the temperature inside the house 10 can be calculated from the measurement results at the plurality of locations. Furthermore, the heat insulation performance for each room of the house 10 can be calculated by installing the internal state measuring means 1 in a plurality of rooms.

  Further, in the case of the measurement tap 81 provided with the communication unit 814 for transmitting the measurement value, the measurement value data is automatically stored in the data storage unit 5 simply by inserting the plug 811 into the power outlet of the house 10 and installing it. It can be used for analysis of thermal insulation performance.

  Furthermore, if the temperature sensor 21 that measures the temperature outside the house 10 is provided, the actual outside air temperature around the house 10 can be acquired, and the analysis accuracy of the heat insulation performance can be improved.

  In other words, since it is affected by whether the neighborhood of the house 10 is a dense area, a scattered area, or a nearby high building, the weather data of the area that can be obtained from the Japan Meteorological Agency and the outside temperature outside the actual house 10 May be different. In such a case, it is possible to calculate the heat insulation performance with higher accuracy by measuring and using the outside air temperature with the temperature sensor 21 of the external state measuring means 2.

  Next, a heat insulation performance measuring system of a form different from the above embodiment will be described with reference to FIG. The description of the same or equivalent parts as those described in the above embodiment will be given the same reference numerals.

  In the first embodiment, a case where the heat insulation performance of the house 10 is measured in a state where there is a heat amount (internal heat generation) generated inside the house 10 will be described.

  Here, in Example 1, a part of the energy consumption measuring unit 3 serves as an internal calorie measuring unit that measures the amount of heat generated inside the house 10. That is, by measuring the power consumption of a heating device 37 (see FIG. 2) such as a thermal heater installed in the house 10, the heating value of the heating device 37 can be converted from the power consumption.

  Therefore, in the first embodiment, a heating device 37 such as a thermal heater capable of converting power consumption into heat generation is connected to the measurement tap 81. In addition, the other devices that generate heat in the house 10 are turned off. Furthermore, the person who becomes the heat generation source also moves away from the house 10 or performs measurement while sleeping. For this reason, the measurement is preferably performed in a time zone in which there is almost no internal heat generation.

  Next, an example of the process of the heat insulation performance analysis unit 6 of Example 1 will be described with reference to the flowchart of FIG.

  First, when there is almost no internal heat generation, the heat generating device 37 is operated (step S11), and waiting for the room temperature to reach a certain temperature (step S12). Whether the room temperature has become constant can be determined from the measurement value of the temperature / humidity sensor 815 of the measurement tap 81.

  Therefore, in step S13, the temperature (room temperature) inside the house 10 is measured by the temperature / humidity sensor 815. On the other hand, since the external state measuring means 2 is installed outside the house 10, the outside air temperature is measured by the temperature sensor 21.

  Moreover, since the measurement tap 81 includes the power consumption measuring instrument 813, the power consumption of the heat generating device 37 is measured, and conversion from the power consumption to the heat generation is performed (step S14).

  Here, the heat loss coefficient C (W / K) is one of the parameters representing the heat insulation performance of the entire house 10. The following relationship holds between the heat loss coefficient C, the calorific value Q (W), which is the amount of heat generated inside the house 10, and the temperature difference ΔT (K) inside and outside the house 10.

Q = C · ΔT (1)
Therefore, in step S15, the temperature difference ΔT (K) between the inside and outside is calculated from the room temperature measured by the measuring tap 81 and the outside air temperature measured by the external state measuring means 2. Moreover, since the calorific value Q is calculated from the power consumption measured by the measuring tap 81 in step S14, the heat loss coefficient C of the house 10 at a certain point in time is calculated from these values and the above equation (1). Can be calculated.

  Furthermore, in step S16, the heat insulation performance of the house 10 is evaluated based on the calculated heat loss coefficient C. That is, the calculated heat loss coefficient C varies somewhat depending on the season and time zone in which the measurement is performed, so it is difficult to determine the meaning of detailed numerical values themselves. For this reason, for example, the value of the heat loss coefficient C is divided into six stages in advance, and the thermal insulation performance evaluation (AA, A, B, C, D, E) corresponding to each stage is determined, and the heat of step S15 is determined. It is evaluated which rank corresponds to the calculation result of the loss factor C.

  Further, the heat insulation performance of the house 10 analyzed by the heat insulation performance analysis means 6 is output to the output means 7 such as a printer, a display, or a storage device.

  The heat insulation performance measurement system of Example 1 configured as described above measures the power consumption of the heat generating device 37 that generates heat, calculates the heat generation inside the house 10 from the measured value, and then performs the heat insulation performance. The thermal insulation performance of the house 10 is measured by the analysis means 6.

  For this reason, even when there is internal heat generation due to use of the house 10, the amount of heat can be taken into consideration. In particular, if the internal heat generation is generated from a heating device 37 that consumes electricity or gas, such as a heating device or a gas stove, the amount of heat generated inside the house 10 can be simply measured by measuring their energy consumption. It can be easily converted.

  Other configurations and operational effects are substantially the same as those of the above-described embodiment or other examples, and thus description thereof is omitted.

  Next, a heat insulation performance measuring system of a form different from the above embodiment or Example 1 will be described with reference to FIGS. The description of the same or equivalent parts as those described in the above embodiment or Example 1 will be given the same reference numerals.

  The insulation performance measurement system for the house 10 described in the second embodiment includes a building database constructed from examples of measurement of insulation performance in the past, building information of a building for which insulation performance is measured, and building information of the building database. It mainly includes a heat insulation performance estimation means for calculating heat insulation performance by making a comparison.

  In this building database, building information such as the structure, size, floor plan, opening size, opening position, address, orientation, insulation specifications and building age of each building is recorded in association with the measured insulation performance. Has been.

  That is, the heat insulation performance differs depending on whether the building structure is wooden or reinforced concrete (RC), and the heat insulation performance also differs depending on the type of heat insulation member (heat insulation specification). And since deterioration arises with age, it also affects heat insulation performance. In addition, building information such as floor plan and opening size is a factor that affects the heat insulation performance of the building. For this reason, it can be predicted that the heat insulation performance approximates to data with similar factors.

  Therefore, the processing flow of the heat insulation performance measurement system and the heat insulation performance estimation means of the second embodiment will be described with reference to the flowchart of FIG.

  First, a building database is constructed based on heat insulation performance data and building information of a plurality of buildings whose heat insulation performance has been measured in the past (step S21). Similarly, the building information of the house 10 whose thermal insulation performance is measured this time is input (step S22).

  Then, the building information data stored in the building database is compared with the building information of the house 10 (step S23), and it is determined whether or not the same information exists in the past (step S24).

  Here, if there is a case where the building information is the same in the past measurement results, the heat insulation performance is calculated as the basic heat insulation performance (step S25).

  On the other hand, if there is no information that is completely the same, a past case that is the same or similar even if part of the building information is extracted (step S26), and the basic heat insulation performance is based on the similarity. Calculate the percentage affected.

  FIG. 8 shows an example of calculating the basic heat insulation performance. The first column of the table shown in FIG. 8 shows the names of the comparison factors, and is stored in the building database such as structure, heat insulation specifications, building age, size, plan, orientation, surrounding environment, and equipment specifications. The item for comparing the data and the building information of the house 10 is displayed.

  In the second column of the table, comparison results of comparison factors are displayed. From this comparison result, it can be seen that the house 10 that measures the heat insulation performance has the same or almost the same past and past plans, equipment specifications, such as structure, heat insulation specifications, building age, and floor plan. Moreover, the house 10 to be measured is 1.2 times larger and has a slight deviation in direction, and the surrounding environment is different between a dense area and a scattered area.

  Furthermore, the influence coefficient in the third column of the table is an influence coefficient obtained by quantifying the influence of the comparison factor on the calculation of the heat insulation performance. That is, the building age and the equipment specifications are the factors that have the most influence on the calculation, and subsequently, the influence of the heat insulation specification, the area, the plan, and the orientation is large, and the influence of the difference in the surrounding environment and structure is low.

  The difference in the fourth column of the table is a numerical result of the comparison result, and the same or almost the same result is a difference of “0”. As the degree of difference of “1”, the direction toward the south is digitized as the degree of difference of “1”, and the fact that the surrounding environment is dense is digitized as the degree of difference of “2”.

  The fluctuation rate in the fifth column of the table is a value obtained by multiplying the influence coefficient in the third column and the difference degree in the fourth column. If the difference degree of the comparison factor having a large influence coefficient is small, the fluctuation rate is small. I understand that

  That is, the variation rate between the heat insulation performance of the past case where the value obtained by integrating the variation rates calculated for each comparison factor and the heat insulation performance of the house 10 are extracted. Here, it can be seen that the heat insulation performance of the house 10 is increased by 6% compared to the past cases.

  And based on the heat insulation performance and variation rate of the similar past example, the basic heat insulation performance of the house 10 is calculated (step S27).

  Thus, the basic heat insulation performance calculated in step S25 or step S27 is output from the output means 7 (step S28).

  In the heat insulation performance measuring system according to the second embodiment configured as described above, the building database in which past cases are accumulated and the building information of the house 10 to be measured are compared. Performance can be estimated.

  Moreover, based on the basic heat insulation performance calculated in Example 2, the evaluation of the heat insulation performance described in the above embodiment or Example 1 can be corrected.

  Other configurations and operational effects are substantially the same as those of the above-described embodiment or other examples, and thus description thereof is omitted.

  Next, a heat insulation performance measuring system in a form different from the above embodiment or Examples 1 and 2 will be described with reference to FIGS. The description of the same or equivalent parts as those described in the embodiment or Examples 1 and 2 will be given with the same reference numerals.

  In the third embodiment, the heat insulation performance is estimated by comparison with a building whose heat insulation performance is known as in the second embodiment. The heat insulation performance measuring system for a house 10 described in the third embodiment is installed at a plurality of locations (including at least a non-residential room such as a washroom) inside the house 10 as shown in FIGS. The internal state measuring means 1 for measuring the above, the external state measuring means 2 as the external state acquiring means for acquiring the outside temperature of the house 10, and the time history of the measured data detected by these measuring means 1 and 2 The data storage means 5 to be recorded together, the heat insulation performance analysis means 6A for analyzing the heat insulation performance of the house 10 from the measured data stored in the data storage means 5, and the output means 7 for outputting the analysis result are mainly provided. Yes.

  In addition, the data storage means 5 has a heat insulation known building database 5a in which actual measurement data obtained by measuring the temperature transition inside and outside the building with known heat insulation performance is recorded.

In this heat insulation known building database 5a, for a plurality of buildings with known heat insulation performance, actual measurement data of the temperature inside each building and actual measurement data of the temperature outside the building for the corresponding period are recorded. For example, a unit building constructed by assembling building units manufactured in a factory is the total heat loss amount (W / K) and heat loss coefficient (Q value) (W / m ² K), which are parameters that express thermal insulation performance. The gap equivalent area (C value) (cm ² / m ² ) and the like are measured and known. For this reason, the heat insulation known building database 5a can be constructed | assembled by recording the measurement data of the some building constructed | assembled as a unit building.

  However, even in buildings with the same thermal insulation performance, the temperature transition will vary widely in living rooms such as living rooms and bedrooms due to differences in building size, floor plan, area, orientation, air conditioner performance, or number of residents. Conceivable.

  On the other hand, in non-residential rooms such as washrooms, storage rooms, and corridors, even if there is a difference in the size of the building and the number of residents, it is considered that there will be no significant difference if the building has the same insulation performance. . That is, the washroom and the storage are often not air-conditioned, and these spaces are rarely provided on the south side. Therefore, the non-residential room is not easily affected by the difference in the air conditioner or the difference in the amount of solar radiation. In addition, even if the number of residents is different, such as living alone and a large family, it is considered that if the heat insulation performance is the same, there will be no obvious difference in the temperature of the non-residential room.

  Therefore, first, in a building such as a unit building whose insulation performance is known, the temperature transition of a non-residential room such as a washroom is measured, and the temperature transition outside the building for the corresponding period is recorded. That is, actual measurement data indicating temperature transition as shown in FIG. 5 is collected from a plurality of buildings and accumulated. The larger the number of stored actual measurement data, the better. If a certain number or more of actual measurement data is collected for each insulation performance, an average temperature transition for each insulation performance can be specified as a representative temperature transition pattern. For example, if it is possible to collect measured data of unit buildings with known insulation performances ranging from several thousand to several tens of thousands of buildings, a representative temperature transition pattern having a high correlation with the insulation performance can be specified.

  Therefore, in the heat insulation performance analysis means 6A, from the heat insulation known building database 5a, the numerical data such as the Q value indicating the heat insulation performance or the actual measurement data obtained by measuring the temperature transition for each rank indicating the heat insulation performance is totalized, and the average value thereof Is specified as a representative temperature transition pattern of each heat insulation performance.

  Furthermore, in the heat insulation performance analysis means 6A, if there is the same or similar one among the plurality of representative temperature transition patterns calculated for each heat insulation performance, estimation based on the idea that the heat insulation performance is also approximated. Here, when calculating this representative temperature transition pattern, by using the accumulated results of measured data in non-rooms such as washrooms, the size of the building, floor plan, area, orientation, air conditioner performance or residents It can be made difficult to be affected by differences in the number of items.

  Subsequently, the flow of processing of the heat insulation performance measurement system and the heat insulation performance analysis unit of the third embodiment will be described with reference to the flowchart of FIG.

  First, in a plurality of buildings (for example, unit buildings) having a known heat insulation performance constructed in the past, the temperature transition of a washroom or the like is measured, and the heat insulation known building database 5a as the measured data together with the external temperature transition in the corresponding period. (Step S31).

  On the other hand, this time, also in the washroom of the house 10 where the insulation performance is measured, the temperature transition is measured by the internal state measuring means 1 and input as the actual measurement data together with the measurement result of the external state measuring means 2 corresponding to the period ( Step S32).

  And in the heat insulation performance analysis means 6A, the measured data accumulated in the heat insulation known building database 5a is classified for each heat insulation performance of the building, and the average value for each heat insulation performance is calculated as a representative temperature transition pattern therefrom.

  Subsequently, the plurality of calculated representative temperature transition patterns are compared with the actual measurement data of the house 10 (step S33), and the same or most similar representative temperature transition pattern is selected (step S34). Here, whether the representative temperature transition pattern is the same or similar can be determined by using a known pattern recognition method or the like.

  Since the selected representative temperature transition pattern has a numerical value or rank indicating the corresponding heat insulation performance, the heat insulation performance is output from the output means 7 (step S35).

  In the heat insulation performance measuring system according to the third embodiment configured as described above, the representative temperature transition pattern calculated based on the heat insulation known building database 5a constructed based on the actual measurement data of the building whose heat insulation performance is known, and the heat insulation performance. Is compared with the actual measurement data of the house 10 to be measured, it is possible to estimate the heat insulation performance of the actual house 10 built by a conventional construction method or the like where it is difficult to measure the heat insulation performance.

  Other configurations and operational effects are substantially the same as those of the above-described embodiment or other examples, and thus description thereof is omitted.

  Next, a heat insulation performance measurement system of a form different from the above embodiment or Example 1-3 will be described. The description of the same or equivalent parts as those described in the embodiment or Example 1-3 will be given with the same reference numerals.

  In Example 3 described above, the thermal insulation performance was estimated simply by comparing the representative temperature transition pattern calculated by aggregating the actual measurement data of the non-residential rooms for each thermal insulation performance and the actual measurement data of the house 10 for which the thermal insulation performance is to be measured. . On the other hand, Example 4 demonstrates the structure which estimates the heat insulation performance with a higher precision by adding the comparison of the attribute information of a building.

  The building attribute information includes, for example, information on housing performance, information on users, area information, information on usage patterns, information related to solar power generation devices, and facility information.

  For example, information on house performance includes main structures such as wooden structures, reinforced concrete structures (RC structures), steel structures, total floor areas, floor plans (2DK, 3LDK, 4LDK, etc.).

  In addition, information on users includes information on the number of family members living, information on single and double households such as nuclear families, and age composition such as whether the child is an elementary school student, a junior high school student, a high school student, or an elderly person. . In addition, information on usage patterns includes lifestyles such as working together, full-time housewives, and the presence of daytime residents.

  The information related to the solar power generation device includes the presence / absence of the solar power generation device, standards, and the like, and the facility information includes power load devices such as an air conditioner (air conditioner), a television (TV), a refrigerator, and lighting. The size and number of water heaters, and the structure of the water heater.

  Such differences in building attribute information may affect the temperature transition inside the building. In Example 4, the accuracy of heat insulation performance is improved by adding classification based on building attribute information. And

  That is, in the fourth embodiment, actual measurement data of a building having a known heat insulation performance is stored in the heat insulation known building database 5a in association with not only the heat insulation performance but also the attribute information of the building.

  Then, in the heat insulation performance analysis means 6A, at least one of the attribute information of the house 10 whose heat insulation performance is desired to be measured is compared with the attribute information stored in the heat insulation known building database 5a, and the same or similar buildings are heat insulated. Extracted from the building database 5a.

  Further, the actual measurement data of the buildings having the same or similar extracted attribute information is classified for each heat insulation performance, and a representative temperature transition pattern of each heat insulation performance is calculated. The processing after the representative temperature transition pattern is calculated for each heat insulating performance is the same as that of the above-described third embodiment, and the heat insulating performance of the house 10 is output by the processing shown in FIG.

  Thus, by storing the attribute information of buildings with known insulation performance in the insulation known building database 5a as well, calculating a representative temperature transition pattern to be used for estimating insulation performance from those with similar attribute information Can do. If the attribute information and the representative temperature transition pattern are similar, there is a high possibility that the heat insulation performance is approximated, so that the heat insulation performance can be estimated with higher accuracy.

  The embodiment of the present invention has been described in detail above with reference to the drawings. However, the specific configuration is not limited to the embodiment and the example, and the design change is within a range not departing from the gist of the present invention. Are included in the present invention.

  For example, in the above-described embodiment, the energy consumption is mainly described with respect to the power consumption. However, the energy consumption is not limited to this, and the energy consumption may be a consumption related to other energy such as a gas consumption. . For example, in Example 1, if the heat generating device is a gas stove, the gas consumption is measured and converted into the heat generation amount therefrom. Even when the energy consumption amount and the heat generation amount cannot be directly converted, the amount of heat generated inside the building can be estimated by measuring the energy consumption amount of the heating device such as a heating device or a gas stove.

  Furthermore, in the above-described embodiment, the temperature and energy consumption are recorded in the data storage unit 5 together with the time history. However, the present invention is not limited to this, and is an instantaneous value at the time when there is a heat insulation performance as in the first embodiment. If it can be calculated, there is no time history. In addition, when measuring at regular intervals, the time can be specified without a time history.

  Moreover, although the said embodiment demonstrated the case where the internal state measurement means 1, ... was installed in several places of the house 10, it is not limited to this, The internal state measurement means 1 is one place. You can just install it.

  In the above-described embodiment, the detached house 10 has been described as a building. However, the present invention is not limited to this, and an apartment house such as a condominium or an apartment, a building provided with a hotel, or the like measures insulation performance. It may be a building.

1 Internal state measuring means 10 Housing (building)
11 Temperature sensor (temperature measuring instrument)
2 External state measurement means (external state acquisition means)
21 Temperature sensor (temperature measuring instrument)
3 Energy consumption measuring means (internal heat quantity measuring means)
30A power meter (power consumption measuring means)
30B Gas meter (gas consumption measuring means)
37 Heating device 5 Data storage means 5a Thermal insulation known building database 50 Total management device 6, 6A Thermal insulation performance analysis means 81 Measuring tap (internal state measuring means, energy consumption measuring means)
813 Power consumption measuring device 814 Communication unit 815 Temperature / humidity sensor (temperature measuring device)

Claims (9)

An internal state measuring means installed inside the building to measure the temperature;
An external state acquisition means for acquiring a temperature outside the building;
Data storage means for recording measured data detected by the internal state measuring means and the external state acquiring means in a state in which time can be specified;
Heat insulation performance analysis means for analyzing the heat insulation performance of the building from the actual measurement data stored in the data storage means,
The thermal insulation performance analysis means evaluates the thermal insulation performance of the building based on a ratio between a temperature difference between the inside and outside of the building at the analysis start time and a temperature difference between the inside and outside of the building at the analysis end time. A heat insulation performance measuring system characterized by that. An internal state measuring means installed inside the building to measure the temperature;
An external state acquisition means for acquiring a temperature outside the building;
Internal calorific value measuring means for measuring the calorific value generated inside the building;
Data storage means for recording actual measurement data detected by the internal state measurement means, the external state acquisition means and the internal heat quantity measurement means;
Heat insulation performance analysis means for analyzing the heat insulation performance of the building from the actual measurement data stored in the data storage means,
The thermal insulation performance analysis means evaluates the thermal insulation performance of the building based on a ratio between a temperature difference between the inside and outside of the building at the analysis start time and a temperature difference between the inside and outside of the building at the analysis end time. A heat insulation performance measuring system characterized by that. The internal heat quantity measuring means is energy consumption measuring means for measuring the energy consumption of a heat generating device installed inside the building,
In the heat insulation performance analysis means, the temperature difference between the inside and outside of the building is calculated from actual measurement data in a time zone in which the amount of heat generated inside the building determined based on the measurement result of the energy consumption measuring means can be ignored. The thermal insulation performance measurement system according to claim 2, wherein the thermal insulation performance is evaluated.   The heat insulation performance measuring system according to any one of claims 1 to 3, wherein the internal state measuring means is installed at a plurality of locations inside the building.   The internal state measuring means includes a temperature measuring instrument for measuring temperature and a communication unit for transmitting the measured value, and the data storage means includes a measured value transmitted from the communication unit of the internal state measuring means. Is recorded, The heat insulation performance measuring system according to any one of claims 1 to 4.   6. The heat insulation performance measuring system according to claim 5, wherein the external state acquisition unit includes a temperature measuring instrument that measures a temperature outside the building and a communication unit that transmits the measured value. In the data storage means, the measured data and the heat insulation performance are recorded in association with each other for the building whose heat insulation performance is known,
In the heat insulation performance analysis means, a representative temperature transition pattern for each heat insulation performance is calculated on the basis of a plurality of actual measurement data associated with the heat insulation performance, and the measurement data of the building for measuring the heat insulation performance and the representative temperature transition pattern are calculated. The thermal insulation performance measuring system according to any one of claims 1 to 6, wherein a temperature difference between the inside and the outside of each building is calculated.   8. The actual measurement data inside the building used for calculating the representative temperature transition pattern and the actual measurement data inside the building where the insulation performance is measured are temperatures measured in a non-residential room. The thermal insulation performance measuring system described in 1.   The heat insulation performance measuring system according to claim 7 or 8, wherein attribute information relating to a building is recorded in the data storage means in association with actual measurement data.

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