JP2011180957A - Measurement management system and management server - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a measurement management system which can show an appropriate reference for securing at least the fixed number of samples by selecting the items of attribute information to be used for sample extraction. <P>SOLUTION: This measurement management system includes: measurement unit 1 for measuring energy consumption; a communication part 33 for receiving a measurement value transmitted via a communication network N; an attribute database 31 for storing attribute information including a plurality of items related with housing; a measurement value database 32 for storing the measurement value and the attribute information in association; a statistical processing part 4 for selecting the items to be used for sample extraction from among the attribute information, and for extracting housing under conditions which are identical or similar to the information of the items of housing H1 as the object of processing, and for repeating the selection and extraction of the items only by desired frequency within a range where the number of extracted samples is not made smaller than a prescribed value, and for performing statistical processing from the finally extracted measurement value; a control part 30; and a display monitor 2 for comparing and displaying the statistical value and the measurement value. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a measurement management system and a management server for measuring energy consumption such as electricity, gas, and water in a building and inducing a reduction in energy consumption by displaying measurement values and the like.

  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 Documents 1 and 2).

  In Patent Document 3, when diagnosing the amount of energy used in a house, the average value of the amount of energy used is calculated by selecting a house with the same number of family members and a similar house structure, and the average value is calculated. It is described that the evaluation is performed based on the standard.

  Furthermore, Patent Document 3 includes, as attribute information on a house, information on residents such as singles, couples, elderly couples, couples and children, elderly living together, wooden or steel bars, detached houses or apartment houses, and floor areas. It is described that information on the structure, information on the area such as the postal code, and information on energy-using devices such as air conditioners, showers, and gas water heaters are included.

  In other words, when evaluating whether or not the energy consumption of a certain house is appropriate, the method of comparing with the average value of all houses does not make an appropriate evaluation, and it is not possible for groups with similar family composition or house structure. It is the idea that an accurate evaluation can be made only by comparing them.

JP 2007-133469 A JP 2004-170310 A Japanese Patent No. 3995501

  However, as the number of items included in the attribute information increases, the number of combinations increases, and if you try to extract data that matches all items from the limited data stored in the database, the number of samples decreases extremely. Therefore, it becomes difficult to calculate an appropriate value as a reference value for evaluation.

  In other words, ensuring a certain number of samples to increase reliability and increasing the number of attribute information items to be compared to increase similarity lead to conflicting results, so it is necessary to balance. difficult.

  Therefore, the present invention provides a measurement management system and a management server capable of indicating an appropriate standard with a certain number of samples secured by enabling selection of attribute information items used for sample extraction. The purpose is to do.

  In order to achieve the above object, the measurement management system of the present invention is a measurement management system that measures and displays energy consumption in a building, and measures energy consumption of equipment installed in the building. Amount measuring means, communication means for receiving measurement values measured by the energy consumption measuring means and transmitted via an external communication network, attribute information including a plurality of items related to the building, and other building information Attribute data storage means for storing the attribute information, measurement data storage means for storing measurement values of energy consumption of the respective buildings in association with the attribute information, and items used for sample extraction from the attribute information And the building having the same or similar condition as the information of the item of the building to be processed is stored in the attribute data storage means. Measurements associated with the attribute information of the finally extracted building are repeated by selecting the item and extracting the building by the desired number of times within the range where the number of extracted samples does not become smaller than the predetermined value. Statistical processing means for extracting a value from the measurement data storage means and performing statistical processing; Management control connected to and controlling the communication means, the attribute data storage means, the measurement data storage means, and the statistical processing means And a display means provided on the processing target building for comparing and displaying the statistical value calculated by the statistical processing means and the measured value of the processing target building. .

  Here, the statistical processing means may have a selection list in which the items of the attribute information are arranged in order, and the items are selected in the order of the selection list.

  In addition, the selection list may use items that are arranged in order from an item with a large degree of change in energy consumption.

  Furthermore, it is preferable that the item of the attribute information includes at least one of information related to house performance, information related to a user, area information, information related to a usage pattern, information related to a photovoltaic power generation apparatus, and facility information. . The energy consumption may be at least one of power consumption, water consumption, and gas consumption.

  And the management server of this invention is a management server which controls said measurement management system, Comprising: The communication means which transmits / receives data via the external communication network with the said building, The some item regarding the said building Attribute data storage means for storing the attribute information and other attribute information of a plurality of buildings, and measurement data storage means for storing a measurement value of energy consumption of each of the buildings in association with the attribute information; Statistical processing means having an item selection means for selecting an item to be used for sample extraction from the attribute information, and connected to the communication means, the attribute data storage means, the measurement data storage means, and the statistical processing means. And a management control means for controlling them.

  The measurement management system of the present invention configured as described above measures the energy consumption of the equipment installed in the building by the energy consumption measurement means, and associates the measured value with the attribute information of the building, and the measurement data storage means Remember me. Then, the items included in the attribute information are selected step by step, and the same or similar building as the attribute information of the building to be processed is extracted in a range that is equal to or greater than the predetermined number of samples, and the extracted building attribute information Statistical processing is performed based on the associated measurement value, and the result of comparing the calculated statistical value with the measurement value is displayed on the display means.

  In this way, if the configuration is such that the items to be used for sample extraction are selected step by step from the items included in the attribute information, even if a database with a small number of samples is used, trust based on a predetermined number of samples or more High-quality statistical processing can be performed.

  In addition, if the number of samples is greater than or equal to the number of samples, attribute information items such as family composition, house performance, and equipment used can be increased, so the energy consumption of buildings with attribute information closer to the building to be processed A comparison can be made and the energy consumption of the building to be processed can be appropriately evaluated.

  Furthermore, by creating a selection list in which items of attribute information are arranged in order, it is possible to reduce variations caused by the selection order of items. In addition, standard standards can be shown regardless of the skill level of the user.

  Further, if the selection list is arranged in order from the item whose degree of change in energy consumption is large, it can be compared with the item having a large influence on the energy consumption.

  In addition, by including information that affects energy consumption, such as information on housing performance, information on users, area information, information on usage patterns, information related to solar power generation equipment and facility information in attribute information, Appropriate evaluation criteria can be calculated.

  In addition to power consumption, various types of energy consumption consumed in buildings are measured by measuring energy consumption such as gas and water in air-conditioning equipment, hot-water supply equipment, or waterworks using gas. Can show appropriate criteria.

  Further, the management server of the present invention includes an attribute data storage unit that stores attribute information of a plurality of buildings, a measurement data storage unit that stores measurement values in association with the attribute information, and an external communication network. And a statistical processing means having an item selection means for selecting an item to be used for sample extraction from the attribute information.

  For this reason, it is possible to provide appropriate information for determining whether or not the energy consumption of the building is reasonable for the building including the energy consumption measuring unit and the display unit.

It is a block diagram explaining the whole structure of the measurement management system of embodiment of this invention. It is a block diagram explaining the detail of the structure by the side of the building of a measurement management system. It is explanatory drawing which showed the structure of the measurement management system typically. It is the figure which illustrated the data structure of attribute information. It is a figure for demonstrating the difference in energy consumption by the difference in attribute information, (a) is a figure explaining the difference by the difference in heat insulation performance, (b) is a figure explaining the difference by the presence or absence of a daytime resident. is there. It is explanatory drawing which showed the some selection list. It is a flowchart explaining the flow of a process of a statistical processing means. It is the figure which compared and displayed the measured value and the statistical value, Comprising: (a) is the figure which compared throughout the year, (b) is the figure which compared in the day.

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

  FIG. 1 is a block diagram showing the configuration of the measurement management system of the present invention.

  This measurement management system has a configuration such as a measuring instrument 1 and a display monitor 2 arranged for each house H1-H3 as a building, and a configuration such as a management server 3 arranged on the administrator side.

  That is, a measuring instrument 1 as an energy consumption measuring unit and a display monitor 2 as a display unit are installed in each house H1-H3. Further, on the manager side connected to each house H1-H3 via an external communication network, a communication unit 33 as a communication unit, a control unit 30 as a management control unit, and an attribute database as an attribute data storage unit A management server 3 including 31, a measured value database 32 as measurement data storage means, and a statistical processing unit 4 as statistical processing means for performing statistical processing is installed.

  First, the details of the house H (H1-H3) side will be described with reference to FIG. 2. The house H is a cogeneration system (hereinafter referred to as “cogeneration”) installed in each power plant or area of the electric power company. ) It is connected to a grid power network E as a power network for receiving power supply from grid power such as equipment.

  The power grid E and the main trunk 120 a wired to the house H are connected via an electric energy meter E 1, and the main trunk 120 a is connected to the distribution board 120. And the electric energy which flows between the grid power grid E and the house H is measured by this electric energy meter E1.

  The house H is also connected to a grid infrastructure network G for receiving supply of energy other than electricity such as gas and water. That is, gas and water are supplied to the house H through the gas pipe and the water pipe of the system infrastructure network G, and the supplied gas amount and the water amount are measured by the gas / water meter G1. In addition, here, in order to simplify description, it has shown in figure collectively, However, Gas and water are supplied by a separate system, and a gas meter and a water meter are installed separately, respectively.

  And the measurement management system of this Embodiment is a system which can measure the consumption of energy, such as electricity, gas, and water, in the house H.

  Further, the house H includes a solar power generation device 5 as a distributed power generation device and a storage battery 60 as a power storage device that temporarily stores electric power.

  The solar power generation device 5 is a device that generates power by directly converting sunlight as solar energy into electric power by using a solar cell. The solar power generation device 5 is a device that can supply power only during a time period in which sunlight can be received.

  Further, the DC power generated by the solar power generation device 5 is converted into AC power by the power conditioner 51 and input to the distribution board 120. Furthermore, when the storage battery 60 is charged or discharged from the storage battery 60, the power conditioner 61 converts direct current into alternating current.

  In addition, various energy load facilities 7A-7E are installed in the house H. For example, there is an electric power load device that is operated by electric power such as an air conditioner (7A) such as an air conditioner, an illumination device (7B) such as an illumination stand or a ceiling light, and a home appliance (7C) such as a refrigerator or a television. In addition, when charging an electric vehicle or a plug-in hybrid car in the house H, they are also power load devices.

  Furthermore, a cooking load (7D) such as a gas stove and a hot water supply load (7E) for making hot water with gas are gas load devices that consume gas. The hot water supply load (7E) is also a water load device that consumes water. In addition, water faucets, toilets, etc. are also water load devices.

  And the measurement sensor 11 as an energy consumption measuring means is attached in order to measure the power consumption of these electric power load apparatuses (7A-7C). The measurement sensor 11 may be of a type that is plugged into a power outlet provided on the wall of the house H, or a type of plug that is plugged into a ceiling light or pendant light attached to the ceiling.

  Moreover, although the measurement sensor 11 can also be attached to the apparatus used as all the electric power loads in the house H, it can be attached only to specific electric power load apparatuses, such as an apparatus with large power consumption, such as an air-conditioning equipment and a refrigerator.

  The distribution board 120 is connected with a distribution board measuring device 12 as an energy consumption measuring means. A main trunk 120a and auxiliary wirings 120c and 120d are connected to the distribution board 120 as an input side, and a plurality of branch trunks 120b are connected as branch circuits on the output side.

  Then, power from the grid power network E is input to the distribution board 120 through the main trunk 120a. In addition, when selling the electric power produced | generated by the solar power generation device 5, the electric power produced | generated by the main power 120a is sent to the system | strain power grid E as a reverse power flow.

  Further, the power generated by the solar power generation device 5 is input to the distribution board 120 from the auxiliary wiring 120c. Moreover, the storage battery 60 and the distribution board 120 are connected by the auxiliary wiring 120d, and charging from the distribution board 120 to the storage battery 60 and discharging from the storage battery 60 to the distribution board 120 are performed.

  Although this distribution board measuring device 12 is not shown in the drawing, it is arranged on the output side that is installed in accordance with the number of external measuring instruments for measuring the amount of power of the main trunk 120a and the number of branch trunks 120b,. A measuring instrument and a measuring instrument for measuring the electric energy of the auxiliary wirings 120c and 120d are provided.

  And the measured value measured by the measurement sensor 11, ..., and the distribution board measuring device 12 is transmitted to the totalization management apparatus 13 via the communication means in a radio | wireless or wired house. The tabulation management device 13 includes a communication unit that transmits and receives data and a data storage unit that records data such as received measurement values. A storage device such as a RAM (Random Access Memory), a hard disk, or an optical disk can be used for the data storage unit.

  In addition, the measurement value data to be recorded in the data storage unit is stored at predetermined intervals so that the measurement date and time can be specified later, or the measurement sensor 11 transmits the time measured by the measurement sensor 11. The time when it was performed or the time received by the tabulation management device 13 is added as a time history and stored together.

  Further, the gas and water consumption of the house H is measured by the gas / water measuring device 14. The gas / water measuring device 14 is connected to a gas meter (G1) or a gas meter connected to a gas pipe separately from the gas meter. This gas meter is equipped with a measuring instrument for measuring a pulse count generated according to the amount of gas used.

  Further, the gas / water measuring device 14 is also connected to a water meter (G1) or a water meter connected to a water pipe separately. This water meter is equipped with a measuring instrument for measuring a pulse count generated according to the amount of water used. And the measured value measured with the gas and water measuring device 14 is transmitted to the totalization management device 13 via the communication means in a wireless or wired house.

  2 is a device that performs charge control and discharge control of the storage battery 60. The storage amount control apparatus 6 connected to the power conditioner 61 of the storage battery 60 shown in FIG. For example, the storage amount control device 6 performs control such that the storage battery 60 is charged with power having a low unit price such as nighttime power, and the charged power is used preferentially during the daytime. Further, when power generation is performed by the solar power generation device 5, the generated power is consumed first, and the power stored in the storage battery 60 compensates for the shortage of the power of the solar power generation device 5. Control.

  In addition, the storage amount control device 6 measures the storage amount of the storage battery 60, and the measured value is transmitted to the totalization management device 13 via wireless or wired in-house communication means.

  In addition, as shown in FIG. 2, an external observation meter 81 for measuring external conditions such as the outside air temperature, humidity, solar radiation amount, and wind speed outside the house H can be installed.

  This external observation meter 81 includes a wind direction and wind speed sensor that measures the wind direction and wind speed, an illuminance sensor that measures the amount of solar radiation, a temperature and humidity sensor, and the like. The output of the external observation meter 81 is converted into a digital value by the environment measurement device 8 and transmitted to the totalization management device 13 via a wireless or wired communication means.

  In addition, the measured value of such an external state is not measured for each house H, but it is also possible to acquire and use weather data of the surrounding area provided by the Meteorological Agency or the like.

  Further, as shown in FIG. 2, the tabulation management apparatus 13 is connected to an external communication network N such as the Internet via a router 13a and a gateway 13b. In addition, transmission / reception of data such as measurement values and statistical values and transmission / reception of control signals can be performed with the external management server 3 also connected to the communication network N.

  For example, the measurement value data stored in the data storage unit of the tabulation management device 13 is transmitted to the management server 3 at set intervals such as hourly, daily, or monthly, and the received data is received by the management server 3. Based on the analysis. Further, when a predetermined interval or update information is generated, various signals such as a set value, a management value, and an update program can be transmitted from the management server 3 to the aggregation management device 13.

  In addition, the display monitor 2 connected to the router 13a in the house H is configured to be able to transmit and receive data to and from the totalization management device 13 via a wireless or wired communication means in the house.

  In order to evaluate the measured value recorded in the data storage unit of the tabulation management device 13, the measured value accumulated in the management server 3, the calculated value based on those measured values, and the energy consumption amount on the display monitor 2. It is possible to display statistical values that have been statistically processed. In addition, detailed data of the measured values can be displayed on the display monitor 2 in real time.

  Furthermore, the display monitor 2 can also be used to make various settings such as changing the setting value of the aggregation management device 13 or instructing update of a control program such as the aggregation management device 13.

  Thus, the houses H connected to the management server 3 via the communication network N exist as houses H1, H2, H3,..., HX throughout the country as schematically shown in FIG. And the attribute information regarding these houses H1, H2, H3,..., HX varies depending on the house.

  In FIG. 4, the attribute information regarding the house H considered to influence the energy consumption recorded in the attribute database 31 was illustrated.

For example, when heating or cooling is performed in the house H, there is a difference in energy consumption even when the same air conditioner is used due to superiority or inferiority of the heat insulating performance. Here, as parameters representing the heat insulation performance of the house H, total heat loss (W / K), heat loss coefficient (Q value) (W / m ² K), gap equivalent area (C value) (cm ² / m ² ).

  This total heat loss amount is an index representing the amount of heat that escapes from the floor, walls, windows, gaps, etc. of the house H, and indicates the amount of heat that escapes from the entire house H when the internal and external temperature difference is 1 ° C. And the value which divided this total heat loss amount by the total floor area of the house H is a heat loss coefficient (Q value), and it is hard to lose the heat of air conditioning as a numerical value is small.

  The gap equivalent area (C value) is an index representing the airtight performance of the entire building, and is indicated by a value obtained by dividing the gap area of the entire house H by the total floor area. And a building with a smaller C value is less likely to leak heat from the air conditioning to the outside.

Although the Q value and the C value are numerically input in FIG. 4, for example, the Q value (W / m ² K) is less than 2 (A rank), 2 so that the same or similar determination can be easily performed. You may input in ranks, such as above-less than 3 (B rank), 3 or more-less than 4 (C rank), 4 or more-less than 5 (D rank), 5 or more (E rank).

  In addition, the heat insulation performance represented by such Q value and C value is greatly influenced by the main structure and age of the house H such as wooden, reinforced concrete (RC), steel structure, etc. By setting the years as attribute information, the heat insulation performance can be estimated.

  Although not illustrated in FIG. 4, a solar radiation acquisition coefficient (μ value) can be added to the attribute information as a parameter that affects the temperature of the house H. This solar radiation acquisition coefficient is a numerical representation of the solar radiation entering the house H, and the numerical value increases as the house H is more likely to receive solar radiation.

  The total floor area is also used when calculating the Q value and C value, but it is suitable for attribute information because the correlation between the size of the space and the energy consumption is clear even if it is not related to the heat insulation performance. ing. Furthermore, even in the house H having the same total floor area, the energy consumption may tend to vary depending on the floor plan (2DK, 3LDK, 4LDK, etc.), so the floor plan can also be attribute information.

  It is also clear that there is a correlation between the number of family members living in the house H and energy consumption. Furthermore, even if the number of family members is the same, the amount of energy consumption differs between a single household such as a nuclear family and two households, which is suitable for attribute information. In addition, energy consumption often varies depending on the age structure and sex such as children being elementary school students, junior high school students or high school students, or elderly people.

  Furthermore, energy consumption is affected because the average temperature and precipitation vary from region to region.

  Moreover, since the house H provided with the solar power generation device 5 not only consumes energy but also creates and is information related to the energy balance, it can be added as attribute information. Furthermore, even when the electric power created by the solar power generation device 5 or the late-night electric power is stored in the storage battery 60 and used, it may be attribute information because it may affect the energy consumption.

  Lifestyles such as working together and full-time housewives are also factors that affect energy consumption behavior. In other words, if there are people in the house H during the day like a full-time housewife, the energy consumption during the day will be greater than that at the house, and in the house H where housework such as washing and cleaning will be concentrated at night, such as working together, at night Energy consumption behavior changes depending on lifestyles and the presence of daytime residents, such as increased energy consumption.

  Furthermore, since energy consumption behavior changes depending on whether it is a working day or a holiday, holiday settings such as whether a weekend is a holiday or a weekday is a holiday may be input as attribute information.

  In addition, the amount of energy consumption varies depending on the size and number of power load devices such as air conditioners (air conditioners), televisions (TVs), refrigerators, and lighting, the structure of the water heater, and the type of energy used. Become.

  Such attribute information varies depending on the houses H1, H2, H3,..., HX, and such attribute information is input from a terminal 34 connected to the management server 3 as shown in FIG. And recorded in the attribute database 31 of the management server 3.

  On the other hand, it cannot be said that it is a reasonable evaluation to uniformly determine the energy consumption of the houses H1, H2, H3,.

  For example, FIG. 5A shows a graph comparing the annual energy consumption of houses H having different Q values. That is, the house H having a large Q value and low heat insulation performance has low air-conditioning efficiency, and therefore tends to increase energy consumption in winter and summer. Nevertheless, if the energy consumption is constrained to the same level as that of the house H with high thermal insulation performance, comfort will be reduced and the residents will be put up with patience.

  FIG. 5 (b) shows a graph comparing the daily energy consumption based on the presence or absence of residents in the daytime. As can be seen from this graph, if there are people in the house H in the daytime, energy will be consumed compared to the house H without people. On the other hand, since energy consumption behavior such as housework is concentrated at night in the house H that was absent during the daytime, the energy consumption at night increases compared to the house H where the energy consumption behavior is distributed in the daytime. It will be. When lifestyles differ in this way, energy consumption patterns and total consumption change, so comparison and evaluation among groups with similar lifestyles are reasonable.

  Therefore, the measurement value database 32 stores the measurement values measured at the houses H1, H2, H3,..., HX in association with the attribute information. This association may be an association that can specify the houses H1, H2, H3,. That is, detailed attribute information of each house H1, H2, H3,..., HX is stored in the attribute database 31, and the control unit 30 can read the attribute information and the measured value from the databases 31 and 32, respectively. What is necessary is just to comprise.

  Further, the statistical processing unit 4 has an item selection unit 41 as an item selection unit. The item selection unit 41 is a means for selecting one item of attribute information to be used for sample extraction one by one. For example, the item selection unit 41 is arbitrarily selected by a pull-down menu, item input, or the like, as illustrated in FIG. It is possible to use a selection list in which attribute information items are arranged in order.

  This selection list is a list in which items of attribute information are arranged in advance in order based on an assumed standard. For example, FIG. 6A shows a selection list in which items considered to have a large number of samples are arranged in order. That is, the number of family members and the floor plan do not have so many different values, and there are few applicable values, so it is considered that a sufficient number of samples can be secured at each value. On the other hand, it is difficult to judge what kind of sample the number of samples will be unless it is a person familiar with this field, so if you make a selection list arranged in advance and select from the top in order, Keep it good.

  FIG. 6B is a selection list in which items that have a large influence on energy consumption, in other words, items that have a large degree of change in energy consumption are arranged in order. That is, when the total floor area is increased or the heat loss coefficient is increased, the amount of energy consumed by the air conditioning equipment is increased accordingly. For this reason, a selection list is prepared in advance by arranging items in descending order of the degree of change in energy consumption, and the selection list may be selected in order from the top.

  On the other hand, FIG. 6C shows an example of a selection list suitable for a desired condition to be compared by a resident of a building to be processed. For example, the resident who lives in the house H1 in which the solar power generation device 5 is installed may desire comparison with the other houses H2,. In such a case, by creating a selection list based on the assumption that the solar power generation device 5 is present, it is possible to perform sample extraction that is unified under other conditions while being a preferred condition. .

  Then, the statistical processing unit 4 performs statistical processing by extracting a measurement value of the house H that is the same as or similar to the house H1 to be processed within a range in which the number of samples is not smaller than a predetermined value.

  Next, a method for using the measurement management system of the present embodiment will be described.

  First, using the terminal 34, attribute information of a plurality of houses H1, H2, H3,..., HX is recorded in the attribute database 31 of the management server 3 in advance. This attribute information is recorded at the time of sales activities for home sales, at the time of construction, at the time of after-sales service, and the like. Moreover, if it is an industrialized building, there also exists attribute information which can be easily acquired based on the known information of a member or a house.

  On the other hand, as shown in FIGS. 1 and 2, a measuring instrument 1 (measurement sensor 11, distribution board measuring device 12, etc.) is attached to a house H <b> 1, H <b> 2, H <b> 3 that measures and displays energy consumption, and a management server 3 so that data can be transmitted to and received from 3.

  And the measured value measured with the measuring instrument 1 of each house H1, H2, H3 is transmitted to the management server 3 at fixed intervals, such as every 10 seconds, every hour, every half day, every day. In addition, the measurement value received by the communication unit 33 of the management server 3 is sequentially transferred to the measurement value database 32 via the control unit 30 with a flag (identification code) for extracting the attribute information of the attribute database 31 attached. Recorded.

  The measurement value data stored in the measurement value database 32 is used by the statistical processing unit 4 connected to the control unit 30. The statistical processing unit 4 extracts measurement values associated with attribute information that is the same as or similar to the attribute information of the house H1 to be processed based on the databases 31 and 32, and averages the extracted samples. And statistical processing to obtain standard deviation. FIG. 7 is a flowchart showing an example of the processing flow of the statistical processing unit 4.

  First, the house H1 to be processed is set using the display monitor 2 and the terminal 34 (step S0). Then, by the following operation, a sample as close as possible to the attribute information of the house H1 is extracted, and statistical values (average value, standard deviation, etc.) for evaluating the energy consumption of the house H1 are calculated.

  In step S1, a first item that is a first condition for sample extraction is selected from items of attribute information such as Q value, C value, total floor area, and the number of family members as shown in FIG. The selection of the first item can be arbitrarily performed. For example, the first item may be designated by using any selection list as shown in FIG. Here, the selection list in which items considered to have a large number of samples shown in FIG. 6A are arranged in order is used, and “the number of family members” is selected as the first item.

  Subsequently, in step S <b> 2, a house H having the same family number as “four people”, which is the “family number” of the house H <b> 1, is extracted from the attribute database 31. If the number of houses H stored in the attribute database 31 is large, the number of samples extracted under the condition that “the number of family members is four” is extracted.

  If the number of samples is too small, there is a large impact when there is a unique value, and there is a possibility that a statistical value representative of the set cannot be obtained. Even if the number of samples is not extracted, it can be treated as a statistical value that ensures reliability. Here, for example, the number of samples of 300 to 500 is set as the predetermined value.

  Then, it is examined whether or not the number of samples extracted according to the condition of the first item is greater than or equal to a predetermined value (step S3). If the number of samples is less than the predetermined value in step S3, the process returns to step S1 to change the first item. If it is determined that the number of samples is greater than or equal to the predetermined value, the next item is set to step S4. Transition.

  In this step S4, the floor plan, which is the second item in the selection list of FIG. 6A, is selected as the second item, and the floor plan of the house H1 (3LDK) is selected from the first sample extracted in step S2. (3LDK) or similar (3DK, 4DK) houses H,... Are extracted (step S5).

  Then, it is determined in step S6 whether or not the number of samples narrowed down by the two conditions is greater than or equal to a predetermined value. If it is greater than or equal to the predetermined value, the process returns to step S4 and further items are selected. That is, it is considered that the energy consumption is considered to be similar as there are many items that are the same or similar in the attribute information.

  On the other hand, if the number of samples becomes less than the predetermined value due to the newly selected item, the reliability of the statistical value obtained therefrom cannot be ensured, so the extraction by the item selected immediately before is canceled (step S7), Statistical processing is performed based on the sample extracted according to the previous conditions (step S8). That is, a measurement value associated with the extracted sample attribute information is extracted from the measurement value database 32, and a statistical value such as an average value or a standard deviation is calculated.

  The statistical value calculated by the statistical processing unit 4 in this way is transmitted from the communication unit 33 to the display monitor 2 of the house H1 together with the measurement value of the house H1. FIG. 8 shows a display example of the display monitor 2.

  In FIG. 8A, the measured value M1 of the annual electricity consumption of the house H1 and the average value A1 calculated from a set similar to the attribute information of the house H1 are displayed in comparison. Note that when performing this display, an instruction signal is transmitted from the house H1 to the management server 3 so that the display is performed on a monthly basis.

  This average value A1 is a statistical value calculated by the statistical processing unit 4 described above, and a resident of the house H1 has a reasonable standard (average value A1) with similar attribute information and its own energy consumption (measured value). M1) can be compared to determine whether it is wasted.

  On the other hand, in FIG. 8B, the measured value M2 of the daily electricity consumption of the house H1 and the average value A2 calculated from a set similar to the attribute information of the house H1 are displayed in comparison. Note that when performing this display, an instruction signal is transmitted from the house H1 to the management server 3 so that the display is performed in units of time.

  In this way, it is possible to determine whether or not the energy consumption behavior is appropriately performed during the day.

  Next, the operation of the measurement management system of this embodiment will be described.

  The measurement management system of the present embodiment configured as described above measures the energy consumption of the equipment installed in the house H by the measuring instrument 1 and associates the measurement value with the attribute information of the house H to obtain the measurement value. Store in the database 32.

  Then, the items included in the attribute information are selected in stages, and the same or similar houses H,... As the attribute information of the house H1 to be processed are extracted and extracted in a range that is equal to or greater than the predetermined number of samples. Statistical processing is performed based on the measurement values associated with the attribute information of the houses H,.

  Further, the statistical value calculated by this statistical processing and the measured value measured at the house H1 and recorded in the measured value database 32 are displayed after being calculated by the control unit 30 in the display unit requested from the house H1 side. A result of comparison between the statistical value and the measured value is transmitted to the monitor 2 and displayed on the display monitor 2.

  In this way, if the configuration is such that the items to be used for sample extraction are selected step by step from the items included in the attribute information, even if a database with a small number of samples is used, trust based on a predetermined number of samples or more is used. High-quality statistical processing can be performed.

  Moreover, since the number of attribute information items such as family composition, house performance, and equipment used can be increased if the number of samples is equal to or greater than a predetermined number of samples, the house H having attribute information closer to the house H1 to be processed,... And the energy consumption amount of the house H1 to be processed can be appropriately evaluated.

  Furthermore, by creating a selection list in which items of attribute information are arranged in order, it is possible to reduce variations caused by the selection order of items. In addition, standard standards can be shown regardless of the skill level of the user.

  Further, if the selection list is arranged in order from the item whose degree of change in energy consumption is large, it can be compared with the item having a large influence on the energy consumption.

  In addition, information that affects energy consumption, such as information on heat insulation performance, information on users (residents), regional information, information on usage patterns, information related to the solar power generation device 5 and facility information, in the attribute information By including it, a more appropriate evaluation standard can be calculated.

  Furthermore, not only power consumption, but also various types of energy consumption consumed in the house H by measuring energy consumption such as gas and water in air-conditioning equipment, hot-water supply equipment or water supply equipment using gas. A reasonable basis for quantity can be given.

  The management server 3 includes an attribute database 31 in which attribute information of a plurality of houses H1, H2, H3,..., HX is stored in advance, and a measurement value database 32 in which measurement values are stored in association with the attribute information. , A communication unit 33 that transmits and receives data to and from the houses H1, H2, H3,..., HX via the communication network N, and an item for selecting an item to be used for sample extraction from the attribute information And a statistical processing unit 4 having a selection unit 41.

  For this reason, it is judged whether the energy consumption of each house H1, H2, H3 is reasonable with respect to H1, H2, H3 provided with the measuring instrument 1 and the display monitor 2 for measuring the energy consumption. Appropriate information can be provided.

  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 this embodiment, and design changes that do not depart from the gist of the present invention are not limited to this embodiment. Included in the invention.

  For example, in the above embodiment, the case where the selection list is used has been described. However, the present invention is not limited to this, and the item of attribute information may be arbitrarily selected by the item selection unit.

  Moreover, although the management server 3 provided with all of the communication part 33, the control part 30, the attribute database 31, the measured value database 32, and the statistical process part 4 was demonstrated in the said embodiment, it is not limited to this. The attribute data storage unit, the measurement data storage unit, and the like may not be provided integrally with the management server 3.

  Furthermore, in the said embodiment, although the structure which transmits the measured value measured by the measurement sensor 11 and the distribution board measuring device 12 to the total management apparatus 13 was demonstrated, it is not limited to this, In the house H The function of collecting measurement values can be incorporated into a display means such as the display monitor 2 or the distribution board measuring device 12, or a personal computer can be provided with a measurement value collecting function and a display function.

  In the above embodiment, the case where the distribution board measuring device 12 is connected to the distribution board 120 has been described. However, the present invention is not limited to this, and a distribution board having an integrated measurement function is used. Or, the measurement at the position of the distribution board 120 can be omitted.

1 Measuring instrument (energy consumption measuring means)
11 Measuring sensor (energy consumption measuring means)
12 Distribution board measuring device (energy consumption measuring means)
14 Gas and water meter (energy consumption measuring means)
2 Display monitor (display means)
3 management server 30 control part (management control means)
31 attribute database (attribute data storage means)
32 Measurement value database (Measurement data storage means)
33 Communication unit (communication means)
4 statistical processing section (statistical processing means)
41 Item selection section (item selection means)
5 Solar power generation equipment 7A-7E Energy load equipment (equipment)
H, H1-H3, HX Housing (building)
N communication network (external communication network)
A1, A2 average value (statistical value)

Claims (6)

A measurement management system that measures and displays energy consumption in buildings,
Energy consumption measuring means for measuring the energy consumption of the equipment installed in the building;
A communication means for receiving a measurement value measured by the energy consumption measuring means and transmitted via an external communication network;
Attribute data storage means for storing attribute information including a plurality of items related to the building and other attribute information of the plurality of buildings;
A measurement data storage means for storing a measurement value of energy consumption of each building in association with the attribute information;
An item to be used for sample extraction is selected from the attribute information, a building having the same or similar conditions as the information of the item of the building to be processed is extracted from the attribute data storage means, and the extracted sample The selection of the item and the extraction of the building by the item are repeated as many times as desired within a range in which the number does not become smaller than the predetermined value, and the measurement value associated with the finally extracted building attribute information is read from the measurement data storage unit Statistical processing means for extracting and performing statistical processing;
Management control means connected to and controlling the communication means, the attribute data storage means, the measurement data storage means and the statistical processing means,
A measurement management system comprising: a display unit provided in the processing target building for comparing and displaying the statistical value calculated by the statistical processing unit and the measured value of the processing target building .   The measurement management system according to claim 1, wherein the statistical processing unit includes a selection list in which the items of the attribute information are arranged in order, and the items are selected in the order of the selection list.   The measurement management system according to claim 2, wherein the selection list is arranged in order from an item whose degree of change in energy consumption is large.   The item of the attribute information includes at least one of information relating to house performance, information relating to a user, area information, information relating to a usage pattern, information relating to a photovoltaic power generation apparatus, and facility information. The measurement management system according to any one of claims 1 to 3.   The measurement management system according to claim 1, wherein the energy consumption is at least one of power consumption, water consumption, and gas consumption. A management server for controlling the measurement management system according to any one of claims 1 to 5,
Communication means for transmitting and receiving data to and from the building via an external communication network;
Attribute data storage means for storing attribute information including a plurality of items related to the building and the attribute information of other plurality of buildings;
A measurement data storage means for storing a measurement value of energy consumption of each building in association with the attribute information;
A statistical processing means having an item selection means for selecting an item to be used for sample extraction from the attribute information;
A management server comprising: a management control unit connected to and controlling the communication unit, the attribute data storage unit, the measurement data storage unit, and the statistical processing unit.

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