WO2013073094A1 - Dispositif d'estimation de consommation d'énergie, système d'estimation de consommation d'énergie, procédé d'estimation de consommation d'énergie et support lisible par ordinateur non transitoire contenant un programme d'estimation de consommation d'énergie - Google Patents

Dispositif d'estimation de consommation d'énergie, système d'estimation de consommation d'énergie, procédé d'estimation de consommation d'énergie et support lisible par ordinateur non transitoire contenant un programme d'estimation de consommation d'énergie Download PDF

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Publication number
WO2013073094A1
WO2013073094A1 PCT/JP2012/006205 JP2012006205W WO2013073094A1 WO 2013073094 A1 WO2013073094 A1 WO 2013073094A1 JP 2012006205 W JP2012006205 W JP 2012006205W WO 2013073094 A1 WO2013073094 A1 WO 2013073094A1
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WIPO (PCT)
Prior art keywords
power consumption
operation sound
change
device operation
information
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Application number
PCT/JP2012/006205
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English (en)
Japanese (ja)
Inventor
才田　好則
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日本電気株式会社
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Publication date
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Publication of WO2013073094A1 publication Critical patent/WO2013073094A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D4/00—Tariff metering apparatus
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D2204/00—Indexing scheme relating to details of tariff-metering apparatus
    • G01D2204/10—Analysing; Displaying
    • G01D2204/12—Determination or prediction of behaviour, e.g. likely power consumption or unusual usage patterns
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D2204/00—Indexing scheme relating to details of tariff-metering apparatus
    • G01D2204/10—Analysing; Displaying
    • G01D2204/14—Displaying of utility usage with respect to time, e.g. for monitoring evolution of usage or with respect to weather conditions
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/10—The network having a local or delimited stationary reach
    • H02J2310/12—The local stationary network supplying a household or a building
    • H02J2310/14—The load or loads being home appliances
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/242—Home appliances

Definitions

  • the present invention relates to a power consumption estimation device, a power consumption estimation system, a power consumption estimation method, and a non-transitory computer-readable medium storing a power consumption estimation program, and in particular, various devices using operation sounds generated by each device.
  • the present invention relates to a power consumption estimation device, a power consumption estimation system, a power consumption estimation method, and a non-transitory computer readable medium storing a power consumption estimation program. .
  • a measuring instrument is installed on the switchboard to measure the transition of the power consumption of the entire home and present the information to the user.
  • a measuring instrument is installed in the terminal, the power consumption is measured in units of outlets, and the information is presented to the user.
  • Japanese Patent Application Laid-Open No. 2003-9430 “Remote Electric Appliance Monitoring Method and Device and Power Consumption Measurement Method and Device Using the Same” discloses a total power flowing through the distribution board using a power measurement device installed on the distribution board. After measuring the load current, converting the measured total load current into fundamental wave and harmonic components, using the converted fundamental wave and time difference difference for each harmonic component, identify the equipment in operation, and Techniques for estimating unit power consumption are disclosed.
  • Patent Document 1 the problem of the technique described in Patent Document 1 is that the power consumption in units of equipment is estimated only by analyzing the total load current. There is a problem with accuracy when estimating quantities. Furthermore, even if the feature of the amount of change in the total load current can be separated for each device, in order to specify which device the separated feature actually corresponds to, Patent Document 1 As described in paragraphs [0021] and [0022] of the above, it is necessary to hold in advance information on the operation characteristic model unique to the device as power consumption characteristic information for each device. At this time, if there are a plurality of devices of the same type, it is not possible to determine which device is operating and consuming power.
  • An object of the present invention is to provide a power consumption estimation device, a power consumption estimation system, a power consumption estimation method, and a power consumption estimation program having a power estimation mechanism.
  • a non-transitory computer-readable medium storing a power consumption estimation apparatus, a power consumption estimation system, a power consumption estimation method, and a power consumption estimation program according to the present invention mainly has the following characteristics. Is adopted.
  • a plurality of power consumption estimation devices are installed in a house, and are detected by device operation sound monitoring means for constantly monitoring changes in device operation sound input from a microphone, and each of the device operation sound monitoring means. Installed on the switchboard that records the changes in the total power consumption of the entire house and records the changes in the total power consumption as information on the changes in the device operation.
  • Correlation analysis means for estimating the power consumption of each device and presenting the estimated power consumption of the device to the user When providing the user with location information that estimates the location of the device where the change in the corresponding device operation sound has occurred, using information on the installation location of each device operation sound monitor means prepared in advance, It is characterized by further comprising device power consumption presentation means for presentation.
  • a power consumption estimation system is a system for estimating the power consumption of a device in the home.
  • a method for estimating power consumption according to the present invention includes a plurality of device operation sound monitor units that are installed in a house and constantly monitor a change in device operation sound input from a microphone.
  • a device operation change recording step for recording information on changes in device operation sound detected by the means as device state change information, and a total change in total power consumption measured by measuring changes in the total power consumption of the entire house.
  • the apparatus further includes a device power consumption presentation step to be presented to the user.
  • a non-transitory computer-readable medium storing a power consumption estimation program according to the present invention is characterized by causing a computer to execute at least the power consumption estimation method described in (3).
  • the non-transitory computer-readable medium storing the power consumption estimation apparatus, power consumption estimation system, power consumption estimation method, and power consumption estimation program of the present invention, the following effects can be obtained.
  • the first effect is that it is not necessary to install an expensive dedicated device for each device in order to monitor the power consumption and the operation status of an electrical device (hereinafter referred to as “device”).
  • device an electrical device
  • the reason for this is that by simply placing multiple device operation sound monitoring means in the house, changes in the operation sound of each device in the house are captured, and the state change of each device is estimated based on the change information of the operation sound. This is because it makes it possible to operate. It is not necessary to install the device operation sound monitor means by the number of devices installed in the home, and it is sufficient to install one or several devices in each of a plurality of rooms in the home.
  • the second effect is that, when estimating the power consumption of each device and presenting information to the user, it is not necessary to prepare in advance the power consumption characteristic information of each device.
  • the reason for this is that the correlation analysis means changes the operating state of the equipment detected by the equipment operating sound monitoring means based on the sound, and the total power consumption measured and recorded by the total power consumption measurement recording means. This is because it is possible to identify the correspondence between the change in the operating state and the change in the total power consumption, and to estimate the power consumption of the corresponding device.
  • the third effect is that it is not necessary to prepare in advance a database comprising a set of operation sound data of various devices and device names that generate the operation sounds.
  • the reason for this is that the device operation sound monitoring means simply captures only changes in the features of the device operation sounds emitted by each device, and uses the changes in the features of the device operation sounds as information indicating the change status of the operation of the corresponding device. This is because it is sufficient to record through the device operation change recording means.
  • equipment operating sound monitoring means is installed as equipment power consumption presenting means for presenting the user the correspondence between the operating sound detected by the equipment operating sound monitoring means and the equipment that actually generated the operating sound.
  • the device type, name, and product name of the applicable device were used simply by presenting information in a format such that the device installed at the relevant location consumes this much power. This is because information is not presented. Even in such a presentation format, the user can sufficiently grasp the correspondence between the device presented by the device power consumption presenting means and the actual device installed in the house.
  • a non-transitory computer-readable medium storing a power consumption estimation apparatus, a power consumption estimation system, a power consumption estimation method, and a power consumption estimation program according to the present invention will be described with reference to the accompanying drawings.
  • a power consumption estimation apparatus, a power consumption estimation system, and a power consumption estimation method according to the present invention will be described.
  • the power consumption estimation method is implemented as a power consumption estimation program that can be executed by a computer. Needless to say, the power consumption estimation program may be recorded on a computer-readable recording medium.
  • the present invention eliminates the need for a high-cost power measurement device in units of electrical equipment (hereinafter referred to as “devices”) and eliminates the need for prior preparation of power consumption characteristic information of each device.
  • the main feature is that it has a power estimation mechanism.
  • the power consumption estimation system of the present invention is a system for estimating the power consumption of household devices, each household device, a distribution board or distribution panel that distributes power to each device, and each device unit. And a power consumption estimation device that presents the estimated power consumption of each device unit to the user.
  • a change in the operating state of each device is estimated by device operation sound monitoring means for detecting a change in device operation sound emitted by each of a plurality of devices respectively arranged at a plurality of locations in the house, and the switchboard Record the change in total power consumption by the total power consumption measurement and recording means installed in the system, and analyze the correlation between the change in the operating status of the equipment and the change in the total power consumption by the correlation analysis means.
  • the main feature is that it has a mechanism for estimating the power consumption of each device.
  • each device operation sound monitoring means for detecting a change in device operation sound is used.
  • the power consumption estimation apparatus shows a change in device operation by a plurality of device operation sound monitoring means installed in the house and a change in device operation sound detected by each device operation sound monitor means.
  • Equipment operation change recording means for recording as information
  • total power consumption measurement recording means for measuring and recording the total power consumption of the entire house installed on the switchboard
  • Correlation analysis means for analyzing the correlation between the change in the device operation recorded by each recording means and the change in the total amount of current used, and estimating the power consumption for each device is provided.
  • the power consumption estimation apparatus of the present invention uses the information on the installation location of each device operation sound monitor means to calculate the power consumption amount and the current estimated operation state of each device estimated by the correlation analysis means as location information. Is provided with a device power consumption presentation means for presenting to the user.
  • each means on the power consumption estimation apparatus operates as follows.
  • One or a plurality of device operation sound monitoring means installed in a plurality of rooms constantly monitor voice input data from microphones connected to each device operation sound monitoring means to detect any change in device operation sound. Then, using the device operation change recording means, it is recorded at any time as device state change information indicating the change in device operation including the type of operation sound change, the time when the change occurred, and the identification code of the device operation sound monitoring means capturing the change. I will do it.
  • the total power consumption measurement recording means always reads the information of the switchboard meter installed in the switchboard of the house, and records the change amount of the total power consumption in the house as needed.
  • the correlation analysis means performs a correlation analysis between the equipment state change information recorded by the equipment operation change recording means and the change amount of the total power consumption recorded by the total power consumption measurement recording means. The correspondence relationship between the state change and the change in the total power consumption is specified, and the power consumption for each device is estimated.
  • the corresponding device included in the device state change information recorded by the device operation change recording means The information indicating the installation location is obtained by referring to the correspondence information between each identification code of each device operation sound monitoring means registered in advance with the identification code of the device operation sound monitoring means capturing the state change of The estimated power consumption information for each device is presented to the user in the assigned format.
  • FIG. 1 is a block diagram showing the best block configuration for carrying out the first embodiment of the power consumption estimation apparatus according to the present invention.
  • 1 includes 1 to N (N: positive integer) sensor devices 100 to 1ON (N in the example of FIG. 1), a total current recording device 200, and an analysis device 300. It is comprised including at least.
  • the sensor devices 100 to 10N and the analysis device 300 are connected by wireless or wired communication means. Further, the total current recording device 200 and the analysis device 300 are also connected by wireless or wired communication means.
  • the sensor device 100 includes at least a microphone 110, device operation sound monitoring means 120, and a transmission module 130.
  • the other sensor devices 101 to 10N are exactly the same as the configuration of the sensor device 100, and include at least a microphone 110, device operation sound monitoring means 120, and a transmission module 130.
  • the total current recording device 200 includes at least a switchboard meter 210, a total power consumption measurement recording means 220, a transmission module 230, and a total power consumption database 240.
  • the analysis device 300 includes at least a reception module 310, a device operation change recording unit 320, a device operation change database 330, a correlation analysis unit 340, an installation location database 350, and a device power consumption presentation unit 360.
  • Each means constituting each of the sensor devices 100 to 10N, the total current recording device 200, and the analysis device 300 generally operates as follows.
  • the device operation sound monitoring means 120 of the sensor devices 100 to 10N constantly monitors the voice input data from the microphone 110 connected to the device operation sound monitoring means 120, and the device operation output from the device arranged in the vicinity. Monitor for changes in sound.
  • the device operation sound monitoring unit 120 detects a change in the device operation sound
  • the device operation sound monitoring unit 120 transmits information regarding the detected change in the device operation sound to the reception module 310 of the analysis device 300 using the transmission module 130.
  • the total power consumption measurement recording means 220 of the total current recording device 200 always reads information on the switchboard meter 210 of the house as information indicating the total power consumption used by each device in the home, Changes in the total power consumption are recorded in the total power consumption database 240 as needed.
  • the total used power change amount data recorded in the total power consumption database 240 is transmitted to the correlation analysis unit 340 of the analysis device 300 through the transmission module 230 in response to a data acquisition request from the correlation analysis unit 340 of the analysis device 300. Is done.
  • the device operation change recording unit 320 of the analysis device 300 stores the device operation sound change information received from the device operation sound monitoring unit 120 of the sensor devices 100 to 10N through the reception module 310 in the device operation change database 330 as device state change information. Record.
  • the device state change information that is, the change information of the device operation sound includes the type of change of the device operation sound, the change occurrence time, the identification code of the device operation sound monitoring means 120 that captures the change, and the like.
  • the identification code of the device operation sound monitoring unit 120 is a number assigned in advance to each device operation sound monitoring unit 120 in order to uniquely identify each device operation sound monitoring unit 120.
  • the correlation analysis unit 340 of the analysis device 300 includes the device state change information recorded in the device operation change database 330 by the device operation change recording unit 320 and the total power consumption measurement recording unit 220 of the total current recording device 200.
  • the correlation between the change in the state of the device and the change in the total power consumption is identified by performing a correlation between the change in the total power consumption recorded in the amount database 240, and the power consumption for each device is determined. presume.
  • the device power consumption presentation unit 360 of the analysis apparatus 300 is included in the device state change information recorded in the device operation change database 330 when presenting the power consumption of each device estimated by the correlation analysis unit 340 to the user.
  • the power consumption information for each device is presented to the user after including the location information.
  • FIG. 2 is a flowchart illustrating an example of an operation flow of the power consumption estimation apparatus according to the first embodiment illustrated in FIG. 1.
  • FIG. 3 is a sequence diagram illustrating an example of exchange of various types of information in the power consumption estimation apparatus according to the first embodiment illustrated in FIG.
  • the sensor devices 100 to 10N are installed at a plurality of locations in the house, and the device operation sound monitoring means 120 of each sensor device 100 to 10N always receives the voice input data from the microphone 110 connected to the device operation sound monitoring means 120. Monitoring is performed to check whether there is a change in the device operating sound (step A1 in FIGS. 2 and 3).
  • the installation locations of the sensor devices 100 to 10N one may be arranged in each room in the house, or a plurality of sensors are arranged in each room, and each is arranged in a different place in each room. Also good.
  • Each of the sensor devices 100 to 10N is provided with an identification code that can be uniquely specified, and the identification code of the sensor devices 100 to 10N (that is, each of the device operation sound monitoring means 120 can be uniquely specified).
  • a set of the identification code) and the installation location information of the sensor devices 100 to 10N (that is, the installation location information of the device operation sound monitoring means 120) is stored in the installation location database 350 of the analysis device 300.
  • Examples of the installation location information of the sensor devices 100 to 10N may be latitude / longitude information, a room name such as “conference room 1”, or XY coordinates on the house plan view. Also good.
  • the device operation sound monitoring unit 120 When the device operation sound monitoring unit 120 detects a change in the device operation sound, the device operation sound monitoring unit 120 transmits the detected change information of the device operation sound to the reception module 310 of the analysis device 300 using the transmission module 130 (FIGS. 2 and 2). 3 step A2). Examples of changes in device operating sound include generation of switch pressing sound of a device, generation or stop of motor or fan operation sound, generation of electronic sound generated by the device, and the like.
  • the sound pressure level is monitored, and a rapid change (increase or decrease) in the sound pressure level in a short time is recognized as a change in device operation sound.
  • Analyzing and analyzing only a specific frequency and analyzing the abrupt change or the level of a specific frequency continuously for a certain time or more, and a pattern with a typical sound database prepared in advance An example is a method of performing matching analysis.
  • the sound pressure level analysis method it is easy to detect the occurrence and stop of sound, and using the method using frequency analysis, the generation, stop and continuous playback of a specific type of sound (motor, fan, human voice) It is easy to identify the state. Further, when a pattern matching method with a sound database is used, various types of operation sounds can be identified according to the prepared sound database. On the other hand, if the amount of sound data used in the sound database is increased, it takes time to construct the sound database. Here, it is assumed that only operation sounds that can be used for general purposes are prepared as the sound database.
  • FIG. 4 is a block diagram illustrating a block configuration example of the device operation sound monitoring unit 120 in the power consumption estimation apparatus according to the first embodiment illustrated in FIG. 1.
  • the detection result of the device operation sound change includes the type name of the operation sound change, the change occurrence time, and the identification code of the sensor devices 100 to 10N equipped with the device operation sound monitoring means 120 that captures the change (that is, the corresponding device operation sound). Including an identification code for uniquely identifying the sound monitoring means 120.
  • the sound pressure analysis means 121 increases the sound pressure above a predetermined sound pressure threshold within a short time of a predetermined time with respect to the change of the sound pressure. If it is detected that the sound pressure has risen, the sound pressure threshold is increased within a short period of time less than the predetermined time, and the phenomenon of returning to the original level occurs. If the frequency analysis means 122 detects that a high-frequency sound equal to or higher than a predetermined frequency threshold has continued for a predetermined duration or longer, a type name such as “high-frequency continuation” is used. It is mentioned.
  • each type name of the device operation sound change is not necessarily performed in a one-to-one correspondence with an actual device operation name, for example, “rice cooker switch on” or “air conditioner motor in operation”.
  • the reason is that only the various sound analysis means of the equipment operation sound monitoring means 120 mentioned here do not have the ability to specify the actual operation of the equipment.
  • a correlation analysis with total power consumption in correlation analysis means 340 which will be described later, a device installation location using installation location database 350, and a presentation method to the user by device power consumption presentation means 360 are shown.
  • the operation sound of a plurality of devices may be detected by one device operation sound monitoring unit 120, which is detected this time. There may be a situation where it is not possible to specify which device the generated sound is.
  • the device operation change database 330 of the analysis apparatus 300 is stored as needed without separating and specifying the corresponding device. Record it. Then, by using a correlation analysis with the total power consumption in the correlation analysis unit 340 described later, it is possible to separate the power usage status for each device.
  • the detection result of the device operation sound change from the sensor devices 100 to 10N received by the reception module 310 of the analysis device 300 is detected by the device operation change recording unit 320. It is recorded and accumulated as device state change information in the change database 330 (step A3 in FIGS. 2 and 3).
  • the device state change information is information on the device operation sound detection result, and specifically, as described above, the device operation sound change type name, the change occurrence time, and the device operation sound monitor that captures the change.
  • the identification code of the sensor devices 100 to 10N on which the means 120 is mounted that is, the identification code that uniquely identifies the corresponding device operation sound monitoring means 120) is included.
  • the total power consumption measurement recording unit 220 of the total current recording device 200 is information on the switchboard meter 210 installed in the switchboard of the house. Is constantly recorded, and changes in the total power consumption in the house are recorded in the total power consumption database 240 as needed (step A4 in FIGS. 2 and 3).
  • the total current recording device 200 it is assumed that one total current recording device 200 is installed on the distribution board of the entire house, but the total current recording device is installed for each distribution board. Therefore, a configuration may be used in which the power consumption amount for each distribution board is individually recorded.
  • the correlation analysis unit 340 of the analysis apparatus 300 is started next, and the correlation analysis unit 340 is connected to the device operation change recording unit 320.
  • the total power consumption measurement database 220 of the total current recording device 200 performs the total power consumption database.
  • the change information of the total power consumption recorded in 240 is acquired (step A6 in FIGS. 2 and 3).
  • the request of the correlation analysis means 340 is sent to the total current recording device 200.
  • the change information of the total power consumption recorded in the total power consumption database 240 of the total current recording device 200 is transmitted to the correlation analysis unit 340 through the transmission module 230 and the reception module 310.
  • Correlation analysis is performed on the obtained change information by the correlation analysis unit 340, thereby identifying the correspondence between the device state change information and the change information of the total power consumption, and estimating the power consumption for each device. (Step A7 in FIGS. 2 and 3). A specific example of the procedure for performing the correlation analysis in the correlation analysis unit 340 will be described later with reference to the flowchart of FIG.
  • the device power consumption presentation means 360 is then activated to proceed to a procedure for presenting the estimated power consumption to the user.
  • the device power consumption presentation unit 360 is included in the device state change information recorded in advance in the device operation change database 330 when presenting the power consumption of each device estimated by the correlation analysis unit 340 to the user.
  • Use the identification code of the device operation sound monitoring means 120 that captures the change in the state that is, the identification code of the sensor devices 100 to 10N
  • the correspondence information between the identification code stored in the installation location database 350 and the installation location is presented to the user after including the location information (step A8 in FIGS. 2 and 3).
  • a specific example of presenting the estimated power consumption to the user is as follows.
  • the device operation sound monitoring means 120 is installed in each of a living room, a dining room, a children's room, a bedroom, a kitchen, and a bathroom.
  • the installation location database 350 of the analysis apparatus 300 includes “living room”, “dining room”, “dining room”, and the like in a format associated with each identification code of each device operation sound monitoring unit 120 installed in each room. Information on the installation location such as “child's room”, “bedroom”, “kitchen”, and “bathroom” is stored.
  • the device power consumption presenting means 360 uses the information on the installation location in the installation location database 350 and the information on the power consumption obtained by the correlation analysis means 340 for the device A of “living room” at 18:00 today. It is activated and ends at 20:00, and the power consumption during that time is 10 OW. Similarly, the “Living” device B is activated at 15:00 and is still active, and the power consumption per hour is 10 OW / h. The device C in the “bedroom” is activated at 21:00, ends at 22:00, and presents operation information and power consumption information for each device at each installation location such that the power consumption during that time is 400 W. .
  • the specific location and the name of each device for example, the installation location presented by the device power consumption presenting means 360 without specifying the microwave oven, the air conditioner, etc. It is assumed that the user himself / herself determines the actual device based on the information on the power consumption. Note that the correspondence between the installation location and the specific type and name of each device is registered in advance by the user, and the device power consumption presentation unit 360 searches for the name of the device registered in the installation location. Thus, a mechanism of presenting the searched device name to the user may be adopted.
  • FIG. 5 is a flowchart showing an example of the phase opening analysis process of the correlation analysis unit 340 in the power consumption estimation apparatus according to the first embodiment shown in FIG.
  • the device state change information stored in the device operation change database 330 is classified into the identification code units of the sensor devices 100 to 10N (step B1 in FIG. 5).
  • a change in total power consumption occurs near the time when the state change occurs. Whether or not it has occurred is confirmed, and information that is a combination of the device state change information and the change amount of the total power consumption at that time is stored (step B2 in FIG. 5).
  • Step B3 More specifically, when there are multiple pieces of data of the same device state change type in the same identification code, the amount of change in the total power consumption is compared and the same change occurs every time. In this case, it is found that the device state change type is an operation sound related to the change in the power consumption, and the change in the power consumption at that time is also found. Even if the same amount of change is not shown every time, the same amount of change may occur in many cases exceeding a predetermined number of times.
  • the device state change information is a device operation sound not related to the change in power consumption. It is estimated that there is.
  • step B3 After performing the process of step B3 within the same identification code, an analysis process is performed on a set of device state change information and power consumption change information between different identification codes (step B4 in FIG. 5). ).
  • the amount of power consumption is caused by the operation of a device installed in another place by chance at almost the same time as the device state change information detected by the device operation sound monitoring unit 120 in 1).
  • the relationship between the device state change information and the power consumption change information can be estimated with high probability by the analysis within the same identification code in step B3, install it elsewhere. This effect can be eliminated by subtracting the influence of the operation of the device being performed from the power consumption data and executing step B3 again.
  • the relationship between the device state change information and the power consumption change information with a high probability is that there is a plurality of data of the same device state change type, and the amount of power consumption of each data set. This is a case where almost the same amount of power change is shown each time as the change information.
  • the same amount of power consumption is shown for a plurality of data of the same device state change type, the influence of the power consumption of devices arranged at other installation locations is included. A case is assumed.
  • step B3 has different identification codes. It is possible to find out by checking whether there is data indicating the same device state change type and the same power consumption change that occurred at the same time. As a result, with regard to the data straddling between the device operation sound monitoring means 120 having different identification codes regarding the same operation sound of the same device that has been identified, only one is left and the other data is deleted. With regard to the criteria for which data should be left, for example, the device state of the device operation sound monitoring unit 120 that detects the device operation sound having the highest volume among the device operation sounds collected by each device operation sound monitoring unit 120 You may make it leave only the data regarding change information.
  • the purpose of this analysis is to change the operating state of a single device by distinguishing them when the device operating sounds detected by each device operating sound monitoring means 120 include operating sounds of a plurality of devices. This is because a change in power consumption at that time is taken out.
  • a certain power consumption occurs when the power is turned on, and then the power consumption returns to “0” when the power is turned off.
  • the correlation analysis procedure as described above is the simplest analysis procedure, but there are a variety of factors such as the time, place and status change type when the device status change information occurred, and the amount of change in power usage near that time.
  • Such correlation analysis means may be used to analyze the correlation between each other, and finally, the device state change information, the corresponding power consumption amount of the device unit and the current operation state may be estimated.
  • the effect of the first embodiment is that it is not necessary to install an equipment unit for an expensive dedicated device for monitoring the power consumption and the operation status of the device.
  • the reason is that by simply arranging a plurality of device operation sound monitoring means 120 in the house, the change in the device operation sound of each device in the house is captured, and the state of each device is determined based on the change information of the device operation sound. This is because it is possible to operate so as to estimate the change. It is not necessary to install the device operation sound monitoring means 120 by the number of devices, and one or several devices may be installed in each of a plurality of rooms in the house.
  • another effect of the first embodiment is that when power consumption is estimated for each device and information is presented to the user, prior preparation such as power consumption characteristic information of each device is unnecessary. That is.
  • the correlation analysis unit 340 detects a change in the operation state of the device detected by the device operation sound monitoring unit 120 based on the sound, and a change in the total power consumption recorded by the total power consumption measurement recording unit 220. This is because it is possible to identify the correspondence between the change in the operating state of the device and the change in the total power consumption from the correlation with the amount, and to operate so as to estimate the power consumption of the corresponding device.
  • the device operation sound monitoring unit 120 simply captures only a change in the characteristics of the device operation sound generated by each device and records it as device state change information in the device operation change database 330 through the device operation change recording unit 320. Because it is enough.
  • the device power consumption presenting means 360 shows the correspondence between the change in the device operation sound detected by the device operation sound monitoring means 120 recorded as the device state change information and the device that actually caused the change in the device operation sound.
  • the device installed in the corresponding location consumes this much power. This is because information is presented in a format, and information presentation using the device type, name, and product name is not performed. Even in the presentation method like this, the user has sufficient correspondence between the device that has generated the device operation sound presented by the device power consumption presentation unit 360 and the actual device installed in the house. Can grasp.
  • FIG. 6 is a block diagram showing the best block configuration for implementing the second embodiment of the power consumption estimation apparatus according to the present invention. Unlike the case of FIG. 1 in the first embodiment, FIG. The case where not only one but the several microphone 110 is arrange
  • FIG. 6A shows a case where a plurality of microphones 110 are arranged in an array form in the sensor device 100 as built-in microphones
  • FIG. 6B shows a plurality of microphones as external microphones.
  • 110 shows a case where 110 is installed in different places apart from each other by a predetermined distance outside the casing of the sensor device 100 and connected to the sensor device 100 by wired or wireless connection means.
  • 6 shows a block configuration of only the sensor device 100, the other sensor devices 101 to 10N are exactly the same as the configuration of the sensor device 100.
  • the purpose of arranging the plurality of microphones 110 in the sensor device 100 is to specify in more detail the location where the operation sound of the device is generated.
  • the operation of the power consumption estimation apparatus of the second embodiment is roughly the same as that of the first embodiment, and here, only the difference from the case of the first embodiment is described. This will be described below.
  • voice input data to each of the plurality of microphones 110 is constantly monitored.
  • each voice input data to each of the plurality of microphones 110 may be individually monitored, or only one voice input data of the plurality of microphones 110 may be monitored. May be.
  • the audio input data to each of the plurality of microphones 110 may be monitored as mixed audio data.
  • the volume difference captured by each of the plurality of microphones 110 with respect to the detected device operation sound is estimated, and the estimated occurrence location is included in the change information of the device operation sound indicating the operation detection result, and is sent to the reception module 310 of the analysis apparatus 300 Send to.
  • the expression format of the estimated occurrence location for example, it may be described in relative XY coordinates with the device operation sound monitoring means 120 as a reference point.
  • step A3 in FIGS. 2 and 3 in the first embodiment when the device operation change recording unit 320 records the device state change information in the device operation change database 330.
  • the estimated occurrence location included in the change information of the device operation sound is also recorded.
  • the location information is presented to the user in consideration of the information on the estimated occurrence location recorded in the device operation change database 330.
  • the location information may be presented as “1 m on the right side of the bedroom, 5 m on the back side”, or after the plan view of the corresponding room is illustrated, the estimation is performed. A mark indicating the location of occurrence may be illustrated.
  • the installation location of the corresponding device can be presented to the user in more detail. As a result, the user can more easily grasp the correspondence relationship between the power consumption estimation result for each device presented by the power consumption estimation apparatus and the actual device.
  • FIG. 7 is a block diagram showing the best block configuration for carrying out the third embodiment of the power consumption estimation apparatus according to the present invention. Further, FIG. 7 further shows the case of FIG. 1 in the first embodiment. The case where the human sensor devices 400 to 40M and the human sensing result database 410 are additionally arranged is shown.
  • the configuration of the power consumption estimation apparatus according to the third embodiment has a plurality of human feelings as compared to the power consumption estimation apparatus of FIG. 1 in the first embodiment or FIG. 6 in the second embodiment.
  • the sensor devices 400 to 40M and the human sensing result database 410 are additionally arranged
  • the power consumption estimation device shown in FIG. 7 includes the power consumption of FIG. 1 in the first embodiment.
  • a configuration in which human sensor devices 400 to 40M and a human sensing result database 410 are added to the estimation device is shown.
  • the configuration and operation of the power consumption estimation apparatus of the third embodiment are the same as those of the first and second embodiments with respect to the operation sound detection procedure of the device.
  • the presence / absence of a person in each room is identified and recorded using 400 to 40M and the person sensing result database 410, and the device power consumption presentation means 360 described in the first and second embodiments is installed at the installation location.
  • the device power consumption presentation means 360 described in the first and second embodiments is installed at the installation location.
  • the installation positions of the human sensor devices 400 to 40M may be the same as the installation positions of the device operation sound monitoring means 120, that is, the sensor devices 100 to 10N, or one for each room. It may be one by one or one in the house.
  • the human sensor devices 400 to 40M constantly monitor the entrance and exit of people.
  • the sensing method for example, an infrared sensor or a vibration sensor is used.
  • the device operation sound monitoring means 120 it may be one that detects a human action sound by sound.
  • Information on the presence / absence of the person detected by the human sensor devices 400 to 40M is stored in the human sensing result database 410 as needed along with the detection time.
  • step A8 in FIG. 2 and FIG. 3 in the first embodiment when presenting the estimated power consumption of each device together with the location information, It operates so that information indicating whether or not a person exists at the corresponding place is created based on the information stored in the person sensing result database 410 and presented to the user.
  • the present invention has been described as a hardware configuration, but the present invention is not limited to this.
  • the present invention can also realize arbitrary processing by causing a CPU (Central Processing Unit) to execute a computer program.
  • a CPU Central Processing Unit
  • Non-transitory computer readable media include various types of tangible storage media.
  • Examples of non-transitory computer-readable media include magnetic recording media (eg, flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (eg, magneto-optical disks), CD-ROM (Read Only Memory) CD-R, CD -R / W, including semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)).
  • the program may be supplied to a computer by various types of temporary computer readable media. Examples of transitory computer readable media include electrical signals, optical signals, and electromagnetic waves.
  • the temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.
  • Device operation change recording means for recording as change information
  • total power consumption measurement recording means installed on a switchboard for measuring changes in the total power consumption of the entire house, and recording as total power consumption change information
  • the equipment Analyzing the correlation between the device state change information recorded by the operation change recording means and the total power consumption change information recorded by the total power consumption measurement recording means, and estimating the power consumption of each device
  • the power consumption estimation device is configured as described above.
  • the correlation analysis unit estimates a current operation state of each device when estimating the amount of change in power consumption of each device by performing correlation analysis
  • the device power consumption presentation unit includes: When presenting the estimated power consumption of the device unit with the location information to the user, the current operation state of each device estimated by the correlation analysis unit is also presented to the user, It is set as the power consumption estimation apparatus of Additional remark 1.
  • the device operation sound monitoring means detects a change in sound pressure of the device operation sound input from the microphone, a change in frequency of the device operation sound, or a device operation prepared in advance with the device operation sound.
  • the power consumption estimation apparatus according to Appendix 1 or 2 that detects a change in the device operation sound by any one of pattern matching with state change sound data.
  • the correlation analysis unit performs a correlation analysis between the device state change information recorded by the device operation change recording unit and the total power consumption change information recorded by the total power consumption measurement recording unit.
  • the apparatus operation sound monitoring means detects the change in the apparatus operation sound, and the apparatus operation detects the change in the apparatus operation sound among the plurality of apparatus operation sound monitoring means at that time.
  • the power consumption estimation apparatus according to any one of appendices 1 to 3, wherein the power consumption estimation device according to any one of the supplementary notes 1 to 3 is configured to estimate the amount of change in power consumption for each device.
  • the microphone for inputting the device operation sound to the device operation sound monitoring means is composed of a plurality of microphones, and the microphones are arranged at different locations separated from each other by a predetermined distance, thereby
  • the operation sound monitoring means estimates the position where the device operation sound is generated based on a difference in volume or time delay of the same operation sound captured by each of the plurality of microphones when a change in the device operation sound is detected.
  • the device power consumption presentation means when the estimated power consumption of the device is presented to the user with the location information added, the estimated generation position of the device operation sound is further added. It is set as the power consumption estimation apparatus in any one of the said supplementary notes 1 thru
  • the device power consumption presenting means when the estimated generation position of the device operation sound is further added and presented to the user, the device operation sound generation position is detected as a change in the device operation sound.
  • Relative coordinates with respect to the installation position of the operation sound monitoring means as a reference point, or a plan view of a room in which the equipment operation sound monitoring means is arranged, and a mark indicating the generation position are shown on the plan view It is set as the power consumption estimation apparatus of the said additional remark 5 shown to a user using either of the forms to perform.
  • Appendix 7 One or more human sensor devices that sense the presence of a person in the house, and a human sensing result database that records the sensing results of the human sensor device, Refer to the human sensing result database when presenting the estimated power consumption of the device to the user with the location information added or the estimated position of the device operating sound added.
  • the power consumption estimation apparatus according to any one of appendices 1 to 6, wherein information indicating whether or not a person is present at the corresponding place and time is further added and presented to the user. To do.
  • a power consumption estimation system including a power consumption estimation device that presents a unit of power consumption to a user, wherein the power consumption estimation device is configured by the power consumption estimation device according to any one of appendices 1 to 7. It is set as the power consumption estimation system currently used.
  • the correlation analysis step estimates the current operating state of each device when estimating the amount of change in power consumption for each device by performing correlation analysis, and the device power consumption presentation step includes: When the estimated power consumption of the device is presented to the user with the location information, the current operating state of each device estimated in the correlation analysis step is also presented to the user, The power consumption estimation method according to attachment 9 is used.
  • the device operation sound monitoring means detects a change in sound pressure of the device operation sound input from the microphone, a change in frequency of the device operation sound, or a device operation prepared in advance with the device operation sound.
  • the microphone for inputting the device operation sound to the device operation sound monitoring means is composed of a plurality of microphones, and the microphones are arranged at different locations separated from each other by a predetermined distance, thereby
  • the operation sound monitoring means estimates the position where the device operation sound is generated based on a difference in volume or time delay of the same operation sound captured by each of the plurality of microphones when a change in the device operation sound is detected.
  • the device power consumption presentation step when the estimated power consumption of the device is presented to the user with the location information added, the estimated generation position of the device operation sound is further added.
  • the power consumption estimation method according to any one of Supplementary notes 9 to 12 presented to the user.
  • the device operation sound generation position is detected as a change in the device operation sound.
  • Relative coordinates with respect to the installation position of the operation sound monitoring means as a reference point, or a plan view of a room in which the equipment operation sound monitoring means is arranged, and a mark indicating the generation position are shown on the plan view It is set as the power consumption estimation method of the said supplementary note 13 shown to a user using either of the forms to perform.
  • appliance power consumption presenting step further comprising one or a plurality of human sensing means for sensing the presence of a person in the house, and a human sensing result database for recording a sensing result by the human sensing means, Refer to the human sensing result database when presenting the estimated power consumption of the device to the user with the location information added or the estimated position of the device operating sound added.
  • the power consumption estimation method according to any one of appendices 9 to 14, wherein information indicating whether or not a person exists at the corresponding place and time is further added and presented to the user. To do.
  • Appendix 16 A non-transitory computer-readable medium storing a power consumption estimation program that can be executed by a computer according to any one of the supplementary notes 9 to 15.

Abstract

La présente invention concerne un dispositif d'estimation de consommation d'énergie qui est apte à estimer une consommation d'énergie par appareil sans installer aucun dispositif de mesure de puissance par appareil à coût élevé et sans requérir d'informations caractéristiques de consommation d'énergie et analogues pour chaque appareil. Des variations dans les sons de fonctionnement d'appareil d'appareils installés à de multiples emplacements à l'intérieur d'un logement sont détectées par des moyens de surveillance de son de fonctionnement d'appareil (120) et enregistrées dans une base de données de variation de fonctionnement d'appareil (330) d'un dispositif d'analyse (300) au besoin. Des variations du niveau total de puissance utilisée obtenues à partir d'un compteur de tableau (210) par un moyen de mesure/enregistrement de consommation d'énergie totale (220) sont enregistrées dans une base de données de consommation d'énergie totale (240), et les corrélations entre les deux types susmentionnés de variations sont analysées par un moyen d'analyse de corrélation (340) de manière à estimer la consommation d'énergie par appareil. De plus, lors de la présentation d'une liste de la consommation d'énergie estimée par appareil à un utilisateur, le dispositif d'estimation de consommation d'énergie se rapporte à une base de données d'emplacement d'installation (350) dans laquelle les emplacements d'installation des moyens de surveillance de son de fonctionnement d'appareil (120) qui ont détecté les variations des sons de fonctionnement d'appareil sont enregistrés, et présente la consommation d'énergie par appareil ainsi que les emplacements d'installation à l'utilisateur.
PCT/JP2012/006205 2011-11-15 2012-09-27 Dispositif d'estimation de consommation d'énergie, système d'estimation de consommation d'énergie, procédé d'estimation de consommation d'énergie et support lisible par ordinateur non transitoire contenant un programme d'estimation de consommation d'énergie WO2013073094A1 (fr)

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