WO2015097845A1 - Signal processing system, signal processing method, and signal processing program - Google Patents

Signal processing system, signal processing method, and signal processing program Download PDF

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WO2015097845A1
WO2015097845A1 PCT/JP2013/085052 JP2013085052W WO2015097845A1 WO 2015097845 A1 WO2015097845 A1 WO 2015097845A1 JP 2013085052 W JP2013085052 W JP 2013085052W WO 2015097845 A1 WO2015097845 A1 WO 2015097845A1
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signal processing
unit
processing system
state
analysis
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PCT/JP2013/085052
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French (fr)
Japanese (ja)
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太郎 只野
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インフォメティス株式会社
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management

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  • the present invention relates to a signal processing system, a signal processing method, and a signal processing program, and more particularly, to a signal processing system, a signal processing method, and a signal processing program for estimating each operation status from current and voltage information of electrical equipment and evaluating the state. About.
  • Patent Document 1 discloses a technology in which a sensor is installed in a home or a resident directly carries it to detect home equipment, activity status of the resident, and the like. This technology relates to a living situation environment expression apparatus that monitors the activity status of an electric device or a resident by a sensor, transmits the obtained information, and notifies the electric device or the resident by notifying.
  • Patent Document 2 discloses a technology for estimating the activity of a person in a house from the power consumption value in the house.
  • a power value that changes according to the power consumption in a home is acquired by the power sensor, and a time-series probability distribution of the power consumption value is generated.
  • the present invention relates to an in-home activity estimation system capable of estimating a person's activity in a home by comparing the probability distribution with a probability distribution of power values at the time of automatic operation of an electrical device in the home.
  • Patent Document 1 it is necessary to install the sensor at a position corresponding to the electric device to be monitored or the resident. Therefore, the introduction of the device requires a great deal of cost and labor. In addition, there is also a possibility that the status of the activity to be monitored can not be determined due to installation leak of the sensor or out of the detection range of the sensor.
  • Patent Document 2 detects the power consumption near the switchboard, so installation of the system is easy, but only two values of activity and non-activity are grasped about the activity status of electric devices and residents. Can not. That is, it is not possible to make a detailed determination on the specific activity status of the electric device or the resident.
  • the present invention aims to estimate the operating condition of the electric device and evaluate the condition in detail at low cost.
  • the signal processing system analyzes the information of the current and voltage supplied to one or more electric devices to estimate the operation state of the electric device, and the estimation result of the operation estimation unit. And a device evaluation unit that evaluates the state of the electric device.
  • the signal processing system may further include a proposal information output unit that outputs proposal information corresponding to the evaluation result based on the evaluation result of the device evaluation unit.
  • the signal processing system may further include an action analysis unit that analyzes an action of the user of the electric device based on the evaluation result of the device evaluation unit.
  • the signal processing system may further include an analysis information output unit that outputs analysis information corresponding to the analysis result based on the analysis result of the behavior analysis unit.
  • the above state may include an aging state of the electrical device, a proper state, a search target state and / or a normal / abnormal state.
  • the analysis information may include detection information of an abnormal behavior of the user.
  • the signal processing system may further include a transmission unit that transmits the analysis information output by the analysis information output unit to the management terminal.
  • the signal processing system further includes a data detection unit that detects analog waveform data of current and voltage supplied to the plurality of electrical devices, and data conversion that converts the analog waveform data detected by the data detection unit into digital waveform data. And a separation unit that separates digital waveform data into individual digital waveform data corresponding to each of the electric devices, and the operation estimation unit analyzes the individual digital waveform data to estimate the operation status of each of the electric devices. can do.
  • the signal processing method of the present invention analyzes the information of the current and voltage supplied to one or more electric devices to estimate the operation state of the electric device, and the estimation result of the operation estimation step. And a device evaluation step of evaluating the state of the electric device.
  • the signal processing program of the present invention analyzes the information of the current and voltage supplied to one or more electric devices in the computer to estimate the operation state of the electric devices, and the estimation result of the operation estimation function. To realize the device evaluation function for evaluating the state of the electric device.
  • estimation of the operating condition of the electric device and evaluation of the state can be performed in detail at low cost.
  • FIG. 1 shows a schematic view of a signal processing system according to an embodiment of the present invention
  • Fig. 7 shows a flowchart for explaining the processing in the signal processing method according to the embodiment of the present invention.
  • FIG. 1 shows a block diagram of a signal processing system according to an embodiment of the present invention.
  • the signal processing system 1 of the present invention includes an operation estimation unit 110 and a device evaluation unit 120.
  • the signal processing system 1 includes the proposal information output unit 130, the behavior analysis unit 140, the analysis information output unit 150, the transmission unit 160, the data detection unit 210, the data conversion unit 220, and An example is shown having a portion 230.
  • the operation estimation unit 110 analyzes the information of the current and voltage supplied to one or more electric devices to estimate the operation state of the electric devices. Specifically, the operation estimation unit 110 can estimate which operation state of which electric device corresponds to the information of current and voltage.
  • the operation estimation unit 110 stores, for example, the type and the operating condition of the electric device and the corresponding current waveform pattern, compares the current waveform pattern with the current waveform actually acquired, and The operating situation can be estimated.
  • the device evaluation unit 120 evaluates the state of the electrical device based on the estimation result of the motion estimation unit.
  • the device evaluation unit 120 can perform evaluation corresponding to the current estimation result based on the correlation between the estimation result of the past and the evaluation and / or the correlation between the estimation result and the evaluation.
  • the device evaluation unit 120 counts the estimation results, for example, and performs evaluation based on the current estimation results based on the correlation between estimation data and estimation data in which the periodicity and / or singular points of the estimation results in the past are analyzed. May be
  • the device evaluation unit 120 can also model the correlation between the estimation result in the past and the evaluation, and make an evaluation based on the current estimation result based on the model.
  • the device evaluation unit 120 may combine the estimation results of a plurality of electric devices to evaluate the state of the electric devices. For example, the device evaluation unit 120 can analyze the consumption status of the total power in the home from the operation status of the plurality of electric devices.
  • each operation state can be estimated and evaluated in detail from current and voltage information of a plurality of electric devices.
  • the signal processing system 1 can further include a proposal information output unit 130 that outputs proposal information corresponding to the evaluation result based on the evaluation result of the device evaluation unit 120. For example, upon obtaining an evaluation result of aging of the electric device, the proposal information output unit 130 outputs, as the proposal information, a recommendation for replacement of the electric device.
  • Proposal information for example, recommended use of electric equipment according to demand response of electric power and fluctuating price, recommendation for maintenance of electric equipment, recommendation for replacement, notification of recalled product, notification of forgetting to cut, fire or destruction And / or notification of an abnormality such as a tracking phenomenon.
  • the above-mentioned demand response is to perform price change and reward return according to the amount of power demand.
  • the demand response is, for example, dynamically setting a charge so that the power price becomes high during an expected peak time zone of tight supply and demand and / or reducing points by the power saving.
  • the signal processing system 1 can further include an action analysis unit 140 that analyzes the action of the user of the electric device based on the evaluation result of the device evaluation unit 120.
  • the behavior analysis unit 140 can analyze, for example, movement information, stay information, use time of the electric device, use time zone of the electric device, activity information, and / or activity time of the user's home.
  • FIG. 2 is a diagram for explaining the process of the behavior analysis unit 140.
  • FIG. 2 shows the floor plan of the user's house and the electric device installed.
  • the behavior analysis unit 140 can analyze that the user is staying in each room, and / or the user's environmental temperature, etc., based on the operating status of the air conditioner 400, the air conditioner 408, and the air conditioner 410, for example.
  • the behavior analysis unit 140 can analyze, for example, that the user is watching a television, a viewing time and / or a program corresponding to a viewing time zone, and the like from the operating status of the TV 402.
  • the behavior analysis unit 140 can analyze, for example, the meal time of the user and / or the food to be warmed from the user based on the operation status of the microwave 404.
  • the behavior analysis unit 140 can analyze, for example, the storage amount of the food, the type of the food, the eating time, and / or the buying out time from the operation status of the refrigerator 406.
  • the behavior analysis unit 140 can further perform a more detailed analysis based on room arrangement information of the user's house and installation information of the electric device.
  • the behavior analysis unit 140 can analyze bedtime, wake-up time and / or sleep time from the operating condition of the air conditioner 408 of the Western-style room 505, for example, when holding information that the Western-style room 505 is a bedroom.
  • the behavior analysis unit 140 can analyze the occurrence of a visitor and / or the visitor time from the operating condition of the air conditioner 410 of the Western-style room 507, for example, when the Western-style room 507 holds information that is between guests.
  • the behavior analysis unit 140 may analyze the behavior of the user from the evaluation results of the plurality of electrical devices. As shown in FIG. 3, when the behavior analysis unit 140 sequentially obtains evaluation results of the use of the microwave oven 404 of the user 602, the stop of the air conditioner 400, and the start of the air conditioner 410, the activity of the user 602 is based on these. Information can be analyzed. The behavior analysis unit 140 can analyze that, for example, the user 602 warms and holds the food in the kitchen 510, and moves from the living room 500 to the Western-style room 507.
  • the behavior analysis unit 140 can also analyze the behavior of users of a plurality of electrical devices. As shown in FIG. 4, the behavior analysis unit 140 can analyze that the user 606 is staying in the living room 500 according to the operating condition of the air conditioner 400. At the same time, the behavior analysis unit 140 determines whether the number of users is one or two, with regard to the operating condition of the air conditioner 410, and that two users 602 and 604 are staying in the Western-style room 507. It can be analyzed. The behavior analysis unit 140 can also identify each user based on the user's behavior pattern. The behavior analysis unit 140 analyzes, for example, a user having a behavior pattern of watching the TV 402 in a specific time zone as the user 606 and a user having a behavior pattern of two acting as the users 602 and 604. be able to.
  • the signal processing system 1 can further include an analysis information output unit 150 that outputs analysis information corresponding to the analysis result based on the analysis result of the behavior analysis unit 140.
  • the analysis information output unit 150 can output analysis information corresponding to the current analysis result based on the correlation between the past analysis result and the analysis information.
  • the analysis information output unit 150 can output, for example, when the analysis result is night-time phlegm etc., detection of an initial symptom of dementia, which is analysis information corresponding thereto.
  • the analysis information output unit 150 adds up the analysis results, and based on the correlation between analysis data and analysis information in which the periodicity and / or singular points of the analysis results in the past are analyzed, analysis corresponding to the current analysis results. Information may be output.
  • the analysis information output unit 150 may model correlation between past analysis results and analysis information, and output analysis information corresponding to the current analysis results based on the model.
  • the behavior analysis unit 140 can also use the situation of a plurality of users having correlations between past analysis results as new analysis information. For example, when analysis results of a plurality of users having a specific medical condition have a specific life time zone having high correlation, the behavior analysis unit 140 sets analysis information corresponding to the specific living time zone as a specific medical condition. be able to.
  • the above state can include the deterioration state of the electric device, the appropriate state, the search target state, and the normal / abnormal state.
  • the aging condition may be, for example, the durable operation time of the electric device, the maintenance deadline, and / or the operation efficiency.
  • the appropriate state may be, for example, the operating efficiency and / or the power efficiency of the electrical device.
  • the search target state may be, for example, the presence of a service target product and / or a recall target product.
  • the abnormal state can be, for example, a failure to turn off the electric stove, the electric iron, etc., a fire such as a temperature rise, a destruction, and / or occurrence of a tracking phenomenon or the like.
  • the normal state can be a state in which no abnormal state as described above has occurred.
  • the analysis information may include detection information of an abnormal behavior of the user.
  • the abnormal behavior may be, for example, the user's intruding into a dangerous place, the user's suspicious behavior, the intruding of a suspicious person, and / or the incapability state such as the user falling down.
  • the analysis information may be detection information of a steady action in which the above-described abnormal action of the user has not occurred.
  • the analysis information may also include user health and / or medical information.
  • the health information can be, for example, living conditions such as activity and sleep, eating conditions and / or temperature management conditions.
  • the medical information can be, for example, the occurrence of a disease or injury of the user, the medical condition of the user, the progress of the injury, and / or the response to the disease or injury of the user.
  • the analysis information may also include purchase and / or consumption information of the user.
  • the purchasing and / or consumption information may be, for example, information on purchasing and / or consumption of electrical equipment, food and / or media.
  • the signal processing system 1 can further include a transmission unit 160 that transmits the analysis information output by the analysis information output unit 150 to the management terminal.
  • the transmitting unit 160 can transmit the analysis information to the user and / or the monitor of the user via the management terminal, and share the analysis information. Specifically, by making the user a child or an elderly person and making the monitor the guardian or the like, the monitor can indirectly watch over the user.
  • the transmission unit 160 can be connected to the management terminal wirelessly and / or by wire, for example, via the Internet and / or a dedicated communication network.
  • the transmission standard of the wireless communication can be, for example, IEEE 802.11b and / or an upward compatible communication standard.
  • the transmission standard of the wired communication can be, for example, Ethernet (registered trademark) (100Base-T) or an upper compatible communication standard.
  • the signal processing system 1 further converts the analog waveform data detected by the data detection unit 210 into digital waveform data, and the data detection unit 210 detects analog waveform data of current and voltage supplied to a plurality of electric devices.
  • the detection unit 210 can be installed on the main trunk side of the distribution board in the home, at an ampermeter portion.
  • the detection unit 210 can measure, for example, a voltage in the range of 100V to 200V or 220V to 240V.
  • the detection unit 210 can measure, for example, a current whose upper limit is 60A, 120A, or 300A.
  • the detection unit 210 can detect a total of three channels: two current channels and one voltage channel.
  • the conversion unit 220 may set the resolution of analog / digital conversion to 14 bits or more, the sampling frequency to 7680 samples / sec or more per channel, the input offset to the lowermost 1 bit and / or the measurement error to ⁇ 1% or less it can.
  • the converter 220 can adjust the input offset and / or the measurement error by means of firmware and / or firmware based on a predetermined correction value.
  • the predetermined correction value may be embedded in non-volatile memory inside the measuring device 10, for example, at the time of factory shipment, and / or downloaded via a communication path.
  • the separating unit 230 can separate digital waveform data using, for example, a factorial HMM (Hidden Markov Model). Specifically, first, the separation unit 230 can obtain model parameters obtained by modeling the operating conditions of the respective electric devices. Next, the separation unit 230 can separate the acquired digital waveform data into a plurality of state variables for each time series using the Factorial HMM. Furthermore, the separation unit 243 can detect one of the separated state variables that matches the model parameter of the same electrical device. In addition, when one electrical device is expressed by a plurality of state variables, the separation unit 230 may detect that the plurality of state variables correspond to the same electrical device.
  • a factorial HMM Hidden Markov Model
  • FIG. 5 schematically shows an installation example of the signal processing system 1 of the present invention.
  • the signal processing system 1 of the present invention can be provided in the measuring device 310 installed in the house to be measured and the processing device 320 installed in a remote place.
  • the measurement device 310 includes a data detection unit 210
  • the processing device 320 includes an operation estimation unit 110, a device evaluation unit 120, a proposal information output unit 130, an action analysis unit 140, and an analysis information output unit 150.
  • separated is shown in the example of FIG. 5, you may install in the same apparatus in a residence.
  • the measuring device 310 and the processing device 320 may be connected via a communication network such as the Internet.
  • the measuring device 310 and the processing device 320 may be connected by wired or wireless communication and may be via a repeater.
  • the measuring device 310 measures waveform data of all currents and voltages supplied from the distribution board 330 to a plurality of electrical devices.
  • FIG. 5 shows an example in which a television 340a, an electric pot 340b and / or a refrigerator 340c are present as electric devices.
  • the processor 320 can separate waveform data of current and voltage measured in the measuring device 310 into waveform data of current and voltage of each of the electric devices, and can estimate an operating condition. Specifically, the processing device 320 can separate waveform data of current and voltage of each of the television 340a, the electric pot 340b, and / or the refrigerator 340c, and estimate the operation status of each electric device.
  • the signal processing method of the present invention includes an operation estimation step (S110) and a device evaluation step (S120).
  • the operation state of the electric device is estimated by analyzing the information of the current and voltage supplied to the one or more electric devices. This step can be processed by the motion estimation unit 110 described above.
  • the state of the storage device is evaluated based on the estimation result of the operation estimation step (S110). This step can be processed by the device evaluation unit 120 described above.
  • a signal processing program causes a computer to realize an operation estimation function and a device evaluation function for evaluating the state of an electrical device based on an estimation result of the motion estimation function.
  • the operation estimation function estimates the operation state of the electric device by analyzing the information of current and voltage supplied to one or more electric devices. This function can be realized by the motion estimation unit 110 described above.
  • the device evaluation function evaluates the state of the electric device based on the estimation result of the motion estimation function. This function can be realized by the device evaluation unit 120 described above.
  • home appliance diagnosis, alert, device search, etc. can be performed. For example, it is possible to inform the user of information that can not be understood only by seeing, such as aging of the device or lack of maintenance, and to propose replacement. In addition, it is possible to make a proposal for replacement based on neutral evaluation, such as eco-level evaluation. In addition, you can search for specific crises for marketing purposes and recalls. In addition, when home appliances such as electric stoves and irons are turned on, it is also possible to alert the danger and detect abnormalities such as tracking phenomena.
  • value can be provided from analysis of resident activity logs. For example, by creating an activity record in the house automatically and having the contents monitored and shared with the relatives, it is possible to provide gentle watching and security services. Also, from the abnormal pattern, it is also possible to find an initial tendency such as dementia. Furthermore, the usage of home appliances that reflect the nature of vacuum cleaners, washing machines, air conditioners, televisions, information devices, microwave ovens, etc. are classified by type, and big data correlation analysis (health and medical data, purchasing data, etc.) It can be used for health care and other various marketing.

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Abstract

The purpose of the present invention is to estimate and evaluate in detail the operation state of each of a plurality of electric devices from the current and voltage information thereof. A signal processing system of the present invention comprises: an operation estimation unit for analyzing the information of the current and voltage supplied to one or more electric devices to estimate the operation states of the electric devices; and a device evaluation unit for, based on the estimation result of the operation estimation unit, evaluating the states of the electric devices.

Description

信号処理システム、信号処理方法および信号処理プログラムSignal processing system, signal processing method and signal processing program
　本発明は、信号処理システム、信号処理方法および信号処理プログラムに関し、特に、電気機器の電流および電圧情報から各々の動作状況を推定し、状態を評価する信号処理システム、信号処理方法および信号処理プログラムに関する。 The present invention relates to a signal processing system, a signal processing method, and a signal processing program, and more particularly, to a signal processing system, a signal processing method, and a signal processing program for estimating each operation status from current and voltage information of electrical equipment and evaluating the state. About.
　近年、電気機器や居住者の動作状況や活動状況を自動で推定し、評価するための技術が提案されている。電気機器や居住者の安全や異常に関する情報を自動で検知するため、即応性が高いことが大きな利点となっている。 In recent years, techniques have been proposed for automatically estimating and evaluating the operating conditions and activities of electrical devices and residents. Since automatic detection of information on the safety and abnormalities of electrical devices and residents, high responsiveness is a great advantage.
　例えば、特許文献１には、センサを宅内に設置、又は居住者が直接携帯して、宅内機器や居住者の活動状況等を検知する技術が開示されている。この技術は、センサにより電気機器や居住者の活動状況を検出し、得られた情報を送信し、通知することにより電気機器や居住者を見守る生活状況環境表現装置に関するものである。 For example, Patent Document 1 discloses a technology in which a sensor is installed in a home or a resident directly carries it to detect home equipment, activity status of the resident, and the like. This technology relates to a living situation environment expression apparatus that monitors the activity status of an electric device or a resident by a sensor, transmits the obtained information, and notifies the electric device or the resident by notifying.
　一方で、特許文献２には、宅内の電力消費値から宅内での人の活動を推定する技術が開示されている。この技術は、宅内の電力消費に応じて変化する電力値を電力センサにより取得し、電力消費値の時系列の確率分布を生成する。この確率分布と、宅内の電気機器の自動運転時の電力値の確率分布とを比較することにより宅内での人の活動を推定することのできる宅内活動推定システムに関するものである。 On the other hand, Patent Document 2 discloses a technology for estimating the activity of a person in a house from the power consumption value in the house. In this technology, a power value that changes according to the power consumption in a home is acquired by the power sensor, and a time-series probability distribution of the power consumption value is generated. The present invention relates to an in-home activity estimation system capable of estimating a person's activity in a home by comparing the probability distribution with a probability distribution of power values at the time of automatic operation of an electrical device in the home.
　しかしながら、特許文献１の技術では、監視対象である電気機器や居住者に対応した位置にそれぞれセンサを設置する必要がある。そのため、装置の導入に多大なコストや労力がかかる。また、センサの設置漏れやセンサの検出範囲外等により監視対象の活動状況を判定できない恐れも生じる。 However, in the technology of Patent Document 1, it is necessary to install the sensor at a position corresponding to the electric device to be monitored or the resident. Therefore, the introduction of the device requires a great deal of cost and labor. In addition, there is also a possibility that the status of the activity to be monitored can not be determined due to installation leak of the sensor or out of the detection range of the sensor.
　また、特許文献２記載の技術は、配電盤付近の電力消費を検知するため、システムの導入は容易であるものの、電気機器や居住者の活動状況について、活動及び非活動の２つの値でしか把握できない。すなわち、電気機器や居住者の具体的な活動状況については、詳細な判定をすることができない。 In addition, the technology described in Patent Document 2 detects the power consumption near the switchboard, so installation of the system is easy, but only two values of activity and non-activity are grasped about the activity status of electric devices and residents. Can not. That is, it is not possible to make a detailed determination on the specific activity status of the electric device or the resident.
特開２００４－９６６３０号公報JP 2004-96630 A 特開２０１３－１６７９４４号公報JP, 2013-167944, A
　上記事情に鑑み、本発明は、電気機器の動作状況の推定および状態の評価を、低コストで詳細に行うことを目的とする。 In view of the above-mentioned circumstances, the present invention aims to estimate the operating condition of the electric device and evaluate the condition in detail at low cost.
　本発明の信号処理システムは、１以上の電気機器に供給される電流及び電圧の情報を分析することで、電気機器の動作状況を推定する動作推定部と、動作推定部の推定結果に基づいて、電気機器の状態を評価する機器評価部とを備える。 The signal processing system according to the present invention analyzes the information of the current and voltage supplied to one or more electric devices to estimate the operation state of the electric device, and the estimation result of the operation estimation unit. And a device evaluation unit that evaluates the state of the electric device.
　上記信号処理システムは、さらに、機器評価部の評価結果に基づいて、評価結果に対応した提案情報を出力する提案情報出力部を備えることができる。 The signal processing system may further include a proposal information output unit that outputs proposal information corresponding to the evaluation result based on the evaluation result of the device evaluation unit.
　上記信号処理システムは、さらに、機器評価部の評価結果に基づいて、電気機器の利用者の行動を解析する行動解析部を備えることができる。 The signal processing system may further include an action analysis unit that analyzes an action of the user of the electric device based on the evaluation result of the device evaluation unit.
　上記信号処理システムは、さらに、行動解析部の解析結果に基づいて、解析結果に対応した解析情報を出力する解析情報出力部を備えることができる。 The signal processing system may further include an analysis information output unit that outputs analysis information corresponding to the analysis result based on the analysis result of the behavior analysis unit.
　上記状態は、電気機器の老朽化状態、適正状態、捜索対象状態および／または正常／異常状態を含むことができる。 The above state may include an aging state of the electrical device, a proper state, a search target state and / or a normal / abnormal state.
　上記解析情報は、利用者の異常行動の検知情報を含むことができる。 The analysis information may include detection information of an abnormal behavior of the user.
　上記信号処理システムは、さらに、解析情報出力部が出力した解析情報を、管理端末に対して送信する送信部を備えることができる。 The signal processing system may further include a transmission unit that transmits the analysis information output by the analysis information output unit to the management terminal.
　上記信号処理システムは、さらに、複数の電気機器に供給される電流及び電圧のアナログ波形データを検知するデータ検知部と、データ検知部により検知されたアナログ波形データをデジタル波形データに変換するデータ変換部と、デジタル波形データを、電気機器それぞれに対応する個別デジタル波形データに分離する分離部とを備え、動作推定部は、個別デジタル波形データを分析することで、電気機器それぞれの動作状況を推定することができる。 The signal processing system further includes a data detection unit that detects analog waveform data of current and voltage supplied to the plurality of electrical devices, and data conversion that converts the analog waveform data detected by the data detection unit into digital waveform data. And a separation unit that separates digital waveform data into individual digital waveform data corresponding to each of the electric devices, and the operation estimation unit analyzes the individual digital waveform data to estimate the operation status of each of the electric devices. can do.
　本発明の信号処理方法は、１以上の電気機器に供給される電流及び電圧の情報を分析することで、電気機器の動作状況を推定する動作推定ステップと、動作推定ステップの推定結果に基づいて、電気機器の状態を評価する機器評価ステップとを備える。 The signal processing method of the present invention analyzes the information of the current and voltage supplied to one or more electric devices to estimate the operation state of the electric device, and the estimation result of the operation estimation step. And a device evaluation step of evaluating the state of the electric device.
　本発明の信号処理プログラムは、コンピュータに、１以上の電気機器に供給される電流及び電圧の情報を分析することで、電気機器の動作状況を推定する動作推定機能と、動作推定機能の推定結果に基づいて、電気機器の状態を評価する機器評価機能とを実現させる。 The signal processing program of the present invention analyzes the information of the current and voltage supplied to one or more electric devices in the computer to estimate the operation state of the electric devices, and the estimation result of the operation estimation function. To realize the device evaluation function for evaluating the state of the electric device.
　本発明の信号処理システム、信号処理方法および信号処理プログラムによれば、電気機器の動作状況の推定および状態の評価を、低コストで詳細に行うことができる。 According to the signal processing system, the signal processing method, and the signal processing program of the present invention, estimation of the operating condition of the electric device and evaluation of the state can be performed in detail at low cost.
本発明の実施形態における信号処理システムの構成図を示すThe block diagram of the signal processing system in the embodiment of the present invention is shown. 本発明の実施形態に係る信号処理システムにおける行動解析部の処理を説明する為の模式図を示すThe schematic diagram for demonstrating the process of the action analysis part in the signal processing system which concerns on embodiment of this invention is shown. 本発明の実施形態に係る信号処理システムにおける行動解析部の処理を説明する為の模式図を示すThe schematic diagram for demonstrating the process of the action analysis part in the signal processing system which concerns on embodiment of this invention is shown. 本発明の実施形態に係る信号処理システムにおける行動解析部の処理を説明する為の模式図を示すThe schematic diagram for demonstrating the process of the action analysis part in the signal processing system which concerns on embodiment of this invention is shown. 本発明の実施形態における信号処理システムの模式図を示すFIG. 1 shows a schematic view of a signal processing system according to an embodiment of the present invention 本発明の実施形態に係る信号処理方法における処理を説明する為のフローチャートを示すFig. 7 shows a flowchart for explaining the processing in the signal processing method according to the embodiment of the present invention.
　本発明の実施形態における信号処理システムを、添付の図面を参照しながら詳細に説明する。 A signal processing system in an embodiment of the present invention will be described in detail with reference to the accompanying drawings.
　図１は、本発明の実施形態における信号処理システムの構成図を示したものである。 FIG. 1 shows a block diagram of a signal processing system according to an embodiment of the present invention.
　図１に示すように、本発明の信号処理システム１は、動作推定部１１０と、機器評価部１２０とを備える。なお、図１では、上記信号処理システム１が提案情報出力部１３０と、行動解析部１４０と、解析情報出力部１５０と、送信部１６０と、データ検知部２１０と、データ変換部２２０と、分離部２３０とを有する例が示されている。 As shown in FIG. 1, the signal processing system 1 of the present invention includes an operation estimation unit 110 and a device evaluation unit 120. In FIG. 1, the signal processing system 1 includes the proposal information output unit 130, the behavior analysis unit 140, the analysis information output unit 150, the transmission unit 160, the data detection unit 210, the data conversion unit 220, and An example is shown having a portion 230.
　上記動作推定部１１０は、１以上の電気機器に供給される電流及び電圧の情報を分析することで、電気機器の動作状況を推定する。具体的には、動作推定部１１０は、電流及び電圧の情報がどの電気機器のどのような動作状況に対応するかを推定することができる。動作推定部１１０は、例えば、電気機器の種類および動作状況とそれに対応する電流波形パターンを記憶し、その電流波形パターンと、実際に取得された電流波形とを比較して、電気機器の種類および動作状況を推定することができる。 The operation estimation unit 110 analyzes the information of the current and voltage supplied to one or more electric devices to estimate the operation state of the electric devices. Specifically, the operation estimation unit 110 can estimate which operation state of which electric device corresponds to the information of current and voltage. The operation estimation unit 110 stores, for example, the type and the operating condition of the electric device and the corresponding current waveform pattern, compares the current waveform pattern with the current waveform actually acquired, and The operating situation can be estimated.
　上記機器評価部１２０は、動作推定部の推定結果に基づいて、電気機器の状態を評価する。機器評価部１２０は、過去の推定結果と評価の相関性および／または推定結果と評価の相関性のモデルデータに基づいて、現在の推定結果に対応した評価をすることができる。機器評価部１２０は、例えば、推定結果を集計し、過去の推定結果の周期性および／または特異点を解析した推定データと評価の相関性に基づいて、現在の推定結果に基づいた評価をしてもよい。また、機器評価部１２０は、過去の推定結果と評価の相関性をモデル化して、モデルに基づいて現在の推定結果に基づいた評価をすることもできる。機器評価部１２０は、複数の電気機器の推定結果を複合し、電気機器の状態を評価してもよい。例えば、機器評価部１２０は、複数の電気機器の稼働状況から宅内の総電力の消費状況を分析することができる。 The device evaluation unit 120 evaluates the state of the electrical device based on the estimation result of the motion estimation unit. The device evaluation unit 120 can perform evaluation corresponding to the current estimation result based on the correlation between the estimation result of the past and the evaluation and / or the correlation between the estimation result and the evaluation. The device evaluation unit 120 counts the estimation results, for example, and performs evaluation based on the current estimation results based on the correlation between estimation data and estimation data in which the periodicity and / or singular points of the estimation results in the past are analyzed. May be The device evaluation unit 120 can also model the correlation between the estimation result in the past and the evaluation, and make an evaluation based on the current estimation result based on the model. The device evaluation unit 120 may combine the estimation results of a plurality of electric devices to evaluate the state of the electric devices. For example, the device evaluation unit 120 can analyze the consumption status of the total power in the home from the operation status of the plurality of electric devices.
　以上、説明した本発明の信号処理システム１によれば、複数の電気機器の電流および電圧情報から各々の動作状況を詳細に推定し、評価することができる。 As described above, according to the signal processing system 1 of the present invention described above, each operation state can be estimated and evaluated in detail from current and voltage information of a plurality of electric devices.
　上記信号処理システム１は、さらに、機器評価部１２０の評価結果に基づいて、評価結果に対応した提案情報を出力する提案情報出力部１３０を備えることができる。提案情報出力部１３０は、例えば、電気機器の老朽化の評価結果を得た場合、提案情報として電気機器の買い替えの推奨を出力する。提案情報は、例えば、電力の需要応答や変動価格に応じた電気機器の推奨する使用方法、電気機器のメンテナンスの実施の推奨、買い替えの推奨、リコール対象製品の通知、切り忘れの報知、火災や破壊の報知および／またはトラッキング現象といった異常の報知等とすることができる。 The signal processing system 1 can further include a proposal information output unit 130 that outputs proposal information corresponding to the evaluation result based on the evaluation result of the device evaluation unit 120. For example, upon obtaining an evaluation result of aging of the electric device, the proposal information output unit 130 outputs, as the proposal information, a recommendation for replacement of the electric device. Proposal information, for example, recommended use of electric equipment according to demand response of electric power and fluctuating price, recommendation for maintenance of electric equipment, recommendation for replacement, notification of recalled product, notification of forgetting to cut, fire or destruction And / or notification of an abnormality such as a tracking phenomenon.
　上記需要応答とは、電力需要量に応じて価格変更や、報酬の還元を行うものである。需要応答は、例えば、需給ひっ迫の予想されるピーク時間帯に電力価格が高くなるように動的に料金を設定するおよび／または節電分だけポイントを還元する等である。 The above-mentioned demand response is to perform price change and reward return according to the amount of power demand. The demand response is, for example, dynamically setting a charge so that the power price becomes high during an expected peak time zone of tight supply and demand and / or reducing points by the power saving.
　上記信号処理システム１は、さらに、機器評価部１２０の評価結果に基づいて、電気機器の利用者の行動を解析する行動解析部１４０を備えることができる。行動解析部１４０は、例えば、利用者の宅内での移動情報、滞在情報、電気機器の利用時間、電気機器の利用時間帯、活動情報および／または活動時間等を解析することができる。 The signal processing system 1 can further include an action analysis unit 140 that analyzes the action of the user of the electric device based on the evaluation result of the device evaluation unit 120. The behavior analysis unit 140 can analyze, for example, movement information, stay information, use time of the electric device, use time zone of the electric device, activity information, and / or activity time of the user's home.
　図２は、行動解析部１４０の処理を説明するための図である。図２は、利用者の宅内の間取りと設置されている電気機器を示している。行動解析部１４０は、例えば、エアコン４００、エアコン４０８およびエアコン４１０の稼働状況から各部屋に利用者が滞在していることおよび／または利用者の環境温度等を解析することができる。行動解析部１４０は、例えば、ＴＶ４０２の稼働状況から利用者がテレビを視聴していること、視聴時間および／または視聴時間帯に対応した番組等を解析することができる。行動解析部１４０は、例えば、電子レンジ４０４の稼働状況から利用者の食事時間および／または温めている対象の食料等を解析することができる。行動解析部１４０は、例えば、冷蔵庫４０６の稼働状況から食材の貯蔵量、食材の種類、食事時間および／または買い出し時間等を解析することができる。 FIG. 2 is a diagram for explaining the process of the behavior analysis unit 140. FIG. 2 shows the floor plan of the user's house and the electric device installed. The behavior analysis unit 140 can analyze that the user is staying in each room, and / or the user's environmental temperature, etc., based on the operating status of the air conditioner 400, the air conditioner 408, and the air conditioner 410, for example. The behavior analysis unit 140 can analyze, for example, that the user is watching a television, a viewing time and / or a program corresponding to a viewing time zone, and the like from the operating status of the TV 402. The behavior analysis unit 140 can analyze, for example, the meal time of the user and / or the food to be warmed from the user based on the operation status of the microwave 404. The behavior analysis unit 140 can analyze, for example, the storage amount of the food, the type of the food, the eating time, and / or the buying out time from the operation status of the refrigerator 406.
　行動解析部１４０は、さらに、利用者の宅内の間取り情報と電気機器の設置情報に基づいてさらに詳細な解析を行うことも可能である。行動解析部１４０は、例えば、洋室５０５が寝室である情報を保持している場合、洋室５０５のエアコン４０８の稼働状況から就寝時間、起床時間および／または睡眠時間を解析することができる。行動解析部１４０は、例えば、洋室５０７が客間である情報を保持している場合、洋室５０７のエアコン４１０の稼働状況から来客の発生および／または来客時間を解析することができる。 The behavior analysis unit 140 can further perform a more detailed analysis based on room arrangement information of the user's house and installation information of the electric device. The behavior analysis unit 140 can analyze bedtime, wake-up time and / or sleep time from the operating condition of the air conditioner 408 of the Western-style room 505, for example, when holding information that the Western-style room 505 is a bedroom. The behavior analysis unit 140 can analyze the occurrence of a visitor and / or the visitor time from the operating condition of the air conditioner 410 of the Western-style room 507, for example, when the Western-style room 507 holds information that is between guests.
　また、行動解析部１４０は、複数の電気機器の評価結果から利用者の行動を解析してもよい。図３に示すように、行動解析部１４０は、利用者６０２の電子レンジ４０４の利用、エアコン４００の停止、エアコン４１０の開始の評価結果を順次得た場合、これらを基に利用者６０２の活動情報を解析することができる。行動解析部１４０は、例えば、利用者６０２が台所５１０にて食料を温め、保持し、居間５００から、洋室５０７へ移動したことを解析することができる。 Also, the behavior analysis unit 140 may analyze the behavior of the user from the evaluation results of the plurality of electrical devices. As shown in FIG. 3, when the behavior analysis unit 140 sequentially obtains evaluation results of the use of the microwave oven 404 of the user 602, the stop of the air conditioner 400, and the start of the air conditioner 410, the activity of the user 602 is based on these. Information can be analyzed. The behavior analysis unit 140 can analyze that, for example, the user 602 warms and holds the food in the kitchen 510, and moves from the living room 500 to the Western-style room 507.
　行動解析部１４０は、さらに、複数の電気機器の利用者の行動を解析することもできる。図４に示すように、行動解析部１４０は、エアコン４００の稼働状況により利用者６０６が居間５００に滞在していることを解析できる。同時に、行動解析部１４０は、エアコン４１０の稼働状況について、利用者が一人であるか、二人であるかを判断し、二人の利用者６０２，６０４が洋室５０７に滞在していることを解析できる。また、行動解析部１４０は、利用者の行動パターンに基づいて各利用者を識別することも可能である。行動解析部１４０は、例えば、特定の時間帯にＴＶ４０２を視聴する行動パターンを有する利用者を利用者６０６、二人で行動する行動パターンを有する利用者を利用者６０２，６０４であると解析することができる。 The behavior analysis unit 140 can also analyze the behavior of users of a plurality of electrical devices. As shown in FIG. 4, the behavior analysis unit 140 can analyze that the user 606 is staying in the living room 500 according to the operating condition of the air conditioner 400. At the same time, the behavior analysis unit 140 determines whether the number of users is one or two, with regard to the operating condition of the air conditioner 410, and that two users 602 and 604 are staying in the Western-style room 507. It can be analyzed. The behavior analysis unit 140 can also identify each user based on the user's behavior pattern. The behavior analysis unit 140 analyzes, for example, a user having a behavior pattern of watching the TV 402 in a specific time zone as the user 606 and a user having a behavior pattern of two acting as the users 602 and 604. be able to.
　上記信号処理システム１は、さらに、行動解析部１４０の解析結果に基づいて、解析結果に対応した解析情報を出力する解析情報出力部１５０を備えることができる。解析情報出力部１５０は、過去の解析結果と解析情報の相関性に基づいて、現在の解析結果に対応した解析情報を出力することができる。解析情報出力部１５０は、例えば、解析結果が夜間の徘徊等であった場合、それに対応した解析情報である認知症の初期症状の発見を出力することができる。また、解析情報出力部１５０は、解析結果を集計し、過去の解析結果の周期性および／または特異点を解析した解析データと解析情報の相関性に基づいて、現在の解析結果に対応した解析情報を出力してもよい。さらに、解析情報出力部１５０は、過去の解析結果と解析情報の相関性をモデル化して、モデルに基づいて現在の解析結果に対応した解析情報を出力することもできる。 The signal processing system 1 can further include an analysis information output unit 150 that outputs analysis information corresponding to the analysis result based on the analysis result of the behavior analysis unit 140. The analysis information output unit 150 can output analysis information corresponding to the current analysis result based on the correlation between the past analysis result and the analysis information. The analysis information output unit 150 can output, for example, when the analysis result is night-time phlegm etc., detection of an initial symptom of dementia, which is analysis information corresponding thereto. Further, the analysis information output unit 150 adds up the analysis results, and based on the correlation between analysis data and analysis information in which the periodicity and / or singular points of the analysis results in the past are analyzed, analysis corresponding to the current analysis results. Information may be output. Furthermore, the analysis information output unit 150 may model correlation between past analysis results and analysis information, and output analysis information corresponding to the current analysis results based on the model.
　上記行動解析部１４０は、過去の解析結果間に相関性を有する複数の利用者の状況を新たな解析情報とすることもできる。行動解析部１４０は、例えば、特定の病状である複数の利用者の解析結果が相関性の高い特定の生活時間帯を有する場合、特定の生活時間帯に対応した解析情報を特定の病状とすることができる。 The behavior analysis unit 140 can also use the situation of a plurality of users having correlations between past analysis results as new analysis information. For example, when analysis results of a plurality of users having a specific medical condition have a specific life time zone having high correlation, the behavior analysis unit 140 sets analysis information corresponding to the specific living time zone as a specific medical condition. be able to.
　上記状態は、電気機器の老朽化状態、適正状態、捜索対象状態、正常／異常状態を含むことができる。老朽化状態は、例えば、電気機器の耐久稼働時間、メンテナンス期限および／または稼働効率等とすることができる。適正状態は、例えば、電気機器の稼働効率および／または電力効率等とすることができる。捜索対象状態は、例えば、サービス対象製品および／またはリコール対象製品の存在等とすることができる。異常状態は、例えば、電気ストーブや電気アイロン等の切り忘れ、温度上昇等の火災や破壊および／またはトラッキング現象等の発生等とすることができる。正常状態は、上記のような異常状態が発生していない状態とすることができる。 The above state can include the deterioration state of the electric device, the appropriate state, the search target state, and the normal / abnormal state. The aging condition may be, for example, the durable operation time of the electric device, the maintenance deadline, and / or the operation efficiency. The appropriate state may be, for example, the operating efficiency and / or the power efficiency of the electrical device. The search target state may be, for example, the presence of a service target product and / or a recall target product. The abnormal state can be, for example, a failure to turn off the electric stove, the electric iron, etc., a fire such as a temperature rise, a destruction, and / or occurrence of a tracking phenomenon or the like. The normal state can be a state in which no abnormal state as described above has occurred.
　上記解析情報は、利用者の異常行動の検知情報を含むことができる。異常行動は、例えば、利用者の危険な箇所への侵入、利用者の不審な行動、不審者の侵入および／または利用者が倒れた等の行動不能状態等とすることができる。また、上記解析情報は、利用者の上記のような異常行動が発生していない定常行動の検知情報とすることもできる。 The analysis information may include detection information of an abnormal behavior of the user. The abnormal behavior may be, for example, the user's intruding into a dangerous place, the user's suspicious behavior, the intruding of a suspicious person, and / or the incapability state such as the user falling down. Further, the analysis information may be detection information of a steady action in which the above-described abnormal action of the user has not occurred.
　上記解析情報は、利用者の健康および／または医療情報を含むこともできる。健康情報は、例えば、活動や睡眠等の生活状況、食事状況および／また温度管理状況等とすることができる。医療情報は、例えば、利用者の病気やけが等の発生、利用者の病状やけがの経過および／または利用者の病気やけがに対する対応等とすることができる。 The analysis information may also include user health and / or medical information. The health information can be, for example, living conditions such as activity and sleep, eating conditions and / or temperature management conditions. The medical information can be, for example, the occurrence of a disease or injury of the user, the medical condition of the user, the progress of the injury, and / or the response to the disease or injury of the user.
　上記解析情報は、使用者の購買および／または消費情報を含むこともできる。購買および／または消費情報は、例えば、電気機器、食料およびまたはメディア等の購買および／または消費に関する情報とすることができる。 The analysis information may also include purchase and / or consumption information of the user. The purchasing and / or consumption information may be, for example, information on purchasing and / or consumption of electrical equipment, food and / or media.
　上記信号処理システム１は、さらに、解析情報出力部１５０が出力した解析情報を、管理端末に対して送信する送信部１６０を備えることができる。送信部１６０は、管理端末を介して利用者および／または利用者の監視者等に解析情報を送信し、共有することができる。具体的には、利用者をこどもや高齢者とし、監視者をその保護者等とすることにより、監視者は、利用者を間接的に見守ることが可能になる。　 The signal processing system 1 can further include a transmission unit 160 that transmits the analysis information output by the analysis information output unit 150 to the management terminal. The transmitting unit 160 can transmit the analysis information to the user and / or the monitor of the user via the management terminal, and share the analysis information. Specifically, by making the user a child or an elderly person and making the monitor the guardian or the like, the monitor can indirectly watch over the user.
　上記送信部１６０は、例えば、インターネットおよび／または専用の通信網を介し、管理端末と無線および／または有線により接続することができる。無線通信の伝送規格は、例えば、ＩＥＥＥ８０２．１１ｂおよび／または上位互換の通信規格とすることができる。有線通信の伝送規格は、例えば、Ｅｔｈｅｒｎｅｔ（登録商標）（１００Ｂａｓｅ－Ｔ）または上位互換の通信規格とすることができる。 The transmission unit 160 can be connected to the management terminal wirelessly and / or by wire, for example, via the Internet and / or a dedicated communication network. The transmission standard of the wireless communication can be, for example, IEEE 802.11b and / or an upward compatible communication standard. The transmission standard of the wired communication can be, for example, Ethernet (registered trademark) (100Base-T) or an upper compatible communication standard.
　上記信号処理システム１は、さらに、複数の電気機器に供給される電流及び電圧のアナログ波形データを検知するデータ検知部２１０と、データ検知部２１０により検知されたアナログ波形データをデジタル波形データに変換するデータ変換部２２０と、デジタル波形データを、電気機器それぞれに対応する個別デジタル波形データに分離する分離部２３０とを備え、動作推定部１１０は、個別デジタル波形データを分析することで、電気機器それぞれの動作状況を推定することができる。 The signal processing system 1 further converts the analog waveform data detected by the data detection unit 210 into digital waveform data, and the data detection unit 210 detects analog waveform data of current and voltage supplied to a plurality of electric devices. Data converter 220, and a separator 230 for separating digital waveform data into individual digital waveform data corresponding to each of the electric devices, and the operation estimation unit 110 analyzes the individual digital waveform data to obtain electric devices Each operating condition can be estimated.
　上記検知部２１０は、家庭内の分電盤の主幹側、アンペアメータ部分に設置することができる。検知部２１０は、例えば、１００Ｖから２００Ｖまたは２２０Ｖから２４０Ｖの範囲の電圧を測定することができる。検知部２１０は、例えば、６０Ａ、１２０Ａまたは３００Ａを上限とする電流を測定することができる。検知部２１０は、電源が単相３線式電源である場合、電流２チャンネルおよび電圧１チャンネルの合計３チャンネルを検知することができる。 The detection unit 210 can be installed on the main trunk side of the distribution board in the home, at an ampermeter portion. The detection unit 210 can measure, for example, a voltage in the range of 100V to 200V or 220V to 240V. The detection unit 210 can measure, for example, a current whose upper limit is 60A, 120A, or 300A. When the power supply is a single-phase three-wire power supply, the detection unit 210 can detect a total of three channels: two current channels and one voltage channel.
　上記変換部２２０は、アナログ／デジタル変換の分解能を１４ビット以上、サンプリング周波数を１チャンネル当たり７６８０ｓａｍｐｌｅ／ｓｅｃ以上、入力オフセットを最下位１ビット以内および／または測定誤差を±１%以下とすることができる。変換部２２０は、入力オフセットおよび／または測定誤差をハードウェアおよび／または所定の補正値を基にしてファームウェアにより調整することができる。所定の補正値は、例えば、工場出荷時に測定装置１０の内部の不揮発性メモリに埋め込まれるおよび／または通信路経由でダウンロードされることができる。 The conversion unit 220 may set the resolution of analog / digital conversion to 14 bits or more, the sampling frequency to 7680 samples / sec or more per channel, the input offset to the lowermost 1 bit and / or the measurement error to ± 1% or less it can. The converter 220 can adjust the input offset and / or the measurement error by means of firmware and / or firmware based on a predetermined correction value. The predetermined correction value may be embedded in non-volatile memory inside the measuring device 10, for example, at the time of factory shipment, and / or downloaded via a communication path.
　上記分離部２３０は、例えば、Ｆａｃｔｏｒｉａｌ　ＨＭＭ（Ｈｉｄｄｅｎ　Ｍａｒｋｏｖ　Ｍｏｄｅｌ）を用いてデジタル波形データを分離することができる。具体的には、まず、分離部２３０は、各電気機器の動作状況をモデル化したモデルパラメータを求めることができる。次に、分離部２３０は、Ｆａｃｔｏｒｉａｌ　ＨＭＭにより、取得したデジタル波形データを時系列毎に複数の状態変数に分離することができる。さらに、分離部２４３は、分離された状態変数のうち、同一の電気機器のモデルパラメータに適合するものを検出することができる。また、分離部２３０は、１つの電気機器が複数の状態変数で表現されている場合、その複数の状態変数が同一の電気機器に対応するものであることを検出してもよい。 The separating unit 230 can separate digital waveform data using, for example, a factorial HMM (Hidden Markov Model). Specifically, first, the separation unit 230 can obtain model parameters obtained by modeling the operating conditions of the respective electric devices. Next, the separation unit 230 can separate the acquired digital waveform data into a plurality of state variables for each time series using the Factorial HMM. Furthermore, the separation unit 243 can detect one of the separated state variables that matches the model parameter of the same electrical device. In addition, when one electrical device is expressed by a plurality of state variables, the separation unit 230 may detect that the plurality of state variables correspond to the same electrical device.
　図５は、本発明の信号処理システム１の設置例を模式的に示したものである。本発明の信号処理システム１は、上記の各部を被測定対象である宅内に設置される測定装置３１０および遠隔地に設置される処理装置３２０内に備えることができる。例えば、測定装置３１０は、データ検知部２１０を備え、処理装置３２０は、動作推定部１１０と、機器評価部１２０と、提案情報出力部１３０と、行動解析部１４０と、解析情報出力部１５０と、送信部１６０と、データ変換部２２０と、分離部２３０とを有してもよい。なお、図５の例では、測定装置３１０と処理装置３２０が分離した例を示しているが、住居内の同一の装置内に設置されてもよい。また、測定装置３１０と処理装置３２０がインターネット等の通信網を介して接続されてもよい。測定装置３１０と処理装置３２０は、有線または無線通信により接続され、中継器を介してもよい。 FIG. 5 schematically shows an installation example of the signal processing system 1 of the present invention. The signal processing system 1 of the present invention can be provided in the measuring device 310 installed in the house to be measured and the processing device 320 installed in a remote place. For example, the measurement device 310 includes a data detection unit 210, and the processing device 320 includes an operation estimation unit 110, a device evaluation unit 120, a proposal information output unit 130, an action analysis unit 140, and an analysis information output unit 150. , The transmission unit 160, the data conversion unit 220, and the separation unit 230. In addition, although the example which the measuring apparatus 310 and the processing apparatus 320 isolate | separated is shown in the example of FIG. 5, you may install in the same apparatus in a residence. Also, the measuring device 310 and the processing device 320 may be connected via a communication network such as the Internet. The measuring device 310 and the processing device 320 may be connected by wired or wireless communication and may be via a repeater.
　上記測定装置３１０は、分電盤３３０から複数の電気機器に供給されるすべての電流および電圧の波形データを測定する。図５では、電気機器として、テレビ３４０ａ、電気ポット３４０ｂおよび／または冷蔵庫３４０ｃが存在する例を示している。 The measuring device 310 measures waveform data of all currents and voltages supplied from the distribution board 330 to a plurality of electrical devices. FIG. 5 shows an example in which a television 340a, an electric pot 340b and / or a refrigerator 340c are present as electric devices.
　上記処理装置３２０は、測定装置３１０において測定された電流および電圧の波形データを電気機器の各々の電流および電圧の波形データに分離し、動作状況を推定することができる。具体的には、処理装置３２０は、テレビ３４０ａ、電気ポット３４０ｂおよび／または冷蔵庫３４０ｃのそれぞれの電流および電圧の波形データを分離し、各電気機器の動作状況を推定することができる。 The processor 320 can separate waveform data of current and voltage measured in the measuring device 310 into waveform data of current and voltage of each of the electric devices, and can estimate an operating condition. Specifically, the processing device 320 can separate waveform data of current and voltage of each of the television 340a, the electric pot 340b, and / or the refrigerator 340c, and estimate the operation status of each electric device.
　続いて、本発明の実施形態に従う信号処理方法の一例について、図面を参照しながら説明する。 Subsequently, an example of a signal processing method according to an embodiment of the present invention will be described with reference to the drawings.
　図６に示すように、本発明の信号処理方法は、動作推定ステップ（Ｓ１１０）と、機器評価ステップ（Ｓ１２０）とを備える。 As shown in FIG. 6, the signal processing method of the present invention includes an operation estimation step (S110) and a device evaluation step (S120).
　動作推定ステップ（Ｓ１１０）では、１以上の電気機器に供給される電流及び電圧の情報を分析することで、電気機器の動作状況を推定する。このステップは、上述した動作推定部１１０によって処理されることができる。 In the operation estimation step (S110), the operation state of the electric device is estimated by analyzing the information of the current and voltage supplied to the one or more electric devices. This step can be processed by the motion estimation unit 110 described above.
　機器評価ステップ（Ｓ１２０）では、動作推定ステップ（Ｓ１１０）の推定結果に基づいて、記電気機器の状態を評価する。このステップは、上述した機器評価部１２０によって処理されることができる。 In the device evaluation step (S120), the state of the storage device is evaluated based on the estimation result of the operation estimation step (S110). This step can be processed by the device evaluation unit 120 described above.
　続いて、本発明の実施形態に従う信号処理プログラムの一例について説明する。 Subsequently, an example of a signal processing program according to an embodiment of the present invention will be described.
　本発明の信号処理プログラムは、コンピュータに、動作推定機能と、動作推定機能の推定結果に基づいて、電気機器の状態を評価する機器評価機能とを実現させる。 A signal processing program according to the present invention causes a computer to realize an operation estimation function and a device evaluation function for evaluating the state of an electrical device based on an estimation result of the motion estimation function.
　動作推定機能では、１以上の電気機器に供給される電流及び電圧の情報を分析することで、電気機器の動作状況を推定する。この機能は、上述した動作推定部１１０によって実現されることができる。 The operation estimation function estimates the operation state of the electric device by analyzing the information of current and voltage supplied to one or more electric devices. This function can be realized by the motion estimation unit 110 described above.
　機器評価機能では、動作推定機能の推定結果に基づいて、電気機器の状態を評価する。この機能は、上述した機器評価部１２０によって実現されることができる。 The device evaluation function evaluates the state of the electric device based on the estimation result of the motion estimation function. This function can be realized by the device evaluation unit 120 described above.
　このように、本発明の信号処理システム、信号処理方法および信号処理プログラムによれば、電力情報から、節電以外の価値を創造することができるようになる。 As described above, according to the signal processing system, the signal processing method, and the signal processing program of the present invention, it is possible to create value other than power saving from power information.
　具体的には、第一の例として、家電機器診断やアラート、機器捜索などを行うことができる。例えば、機器の老朽化やメンテナンス不足などの見ただけではわからない情報を利用者に知らせ、買い替えの提案を行うことができる。また、エコ度評価など、中立の評価に基づく買い替えの提案も行うことができる。さらに、マーケティング目的や、リコールのために、特定の危機を捜索することもできる。また、電気ストーブやアイロンなどの家電がつけっぱなしの場合に危険をアラートしたり、トラッキング現象などの異常を検出することも可能となる。 Specifically, as a first example, home appliance diagnosis, alert, device search, etc. can be performed. For example, it is possible to inform the user of information that can not be understood only by seeing, such as aging of the device or lack of maintenance, and to propose replacement. In addition, it is possible to make a proposal for replacement based on neutral evaluation, such as eco-level evaluation. In addition, you can search for specific crises for marketing purposes and recalls. In addition, when home appliances such as electric stoves and irons are turned on, it is also possible to alert the danger and detect abnormalities such as tracking phenomena.
　第二の例として、居住者の行動ログの分析からの価値を提供することができる。例えば、自動で家の中の活動記録を作成し、その中身を監視してもらったり、身内とシェアすることで、ゆるやかな見守り・セキュリティーサービスを提供することができる。また、異常パターンから、認知症などの初期傾向を見つけることも可能になる。さらに、掃除機、洗濯機、エアコン、テレビ、情報機器、電子レンジなどの性格を映す家電の使い方をタイプ分けし、ビッグデータ相関分析（健康・医療データ、購買データなど）を行うことで、保険、ヘルスケア、その他の各種マーケティングに利用することができる。 As a second example, value can be provided from analysis of resident activity logs. For example, by creating an activity record in the house automatically and having the contents monitored and shared with the relatives, it is possible to provide gentle watching and security services. Also, from the abnormal pattern, it is also possible to find an initial tendency such as dementia. Furthermore, the usage of home appliances that reflect the nature of vacuum cleaners, washing machines, air conditioners, televisions, information devices, microwave ovens, etc. are classified by type, and big data correlation analysis (health and medical data, purchasing data, etc.) It can be used for health care and other various marketing.
　以上、本発明の信号処理システム、信号処理方法および信号処理プログラムについて詳細に説明したが、本発明は、上記実施形態に限定されるものではなく、本発明の要旨を逸脱しない範囲において、各種の改良や変更を行ってもよい。 Although the signal processing system, the signal processing method, and the signal processing program of the present invention have been described in detail above, the present invention is not limited to the above embodiment, and various types of signals can be used without departing from the scope of the present invention. Modifications and changes may be made.
１　　　信号処理システム
１１０　　動作推定部
１２０　　機器評価部
１３０　　提案情報出力部
１４０　　行動解析部
１５０　　解析情報出力部
１６０　　送信部
２１０　　データ検知部
２２０　　データ変換部
２３０　　分離部
３１０　　測定部
３２０　　処理部
３３０　　分電盤
３４０ａ　　テレビ
３４０ｂ　　電気ポット
３４０ｃ　　冷蔵庫 Reference Signs List 1 signal processing system 110 motion estimation unit 120 device evaluation unit 130 proposal information output unit 140 behavior analysis unit 150 analysis information output unit 160 transmission unit 210 data detection unit 220 data conversion unit 230 separation unit 310 measurement unit 320 processing unit 330 distribution board 340a TV 340b electric pot 340c refrigerator

Claims (13)

  1. 　１以上の電気機器に供給される電流及び電圧の情報を分析することで、前記電気機器の動作状況を推定する動作推定部と、
    　前記動作推定部の推定結果に基づいて、前記電気機器の状態を評価する機器評価部と
    を備える信号処理システム。     An operation estimation unit configured to estimate an operation state of the electric device by analyzing information of current and voltage supplied to one or more electric devices;
    And a device evaluation unit that evaluates the state of the electric device based on the estimation result of the operation estimation unit.
  2. 　前記信号処理システムは、さらに、
    　前記機器評価部の評価結果に基づいて、前記評価結果に対応した提案情報を出力する提案情報出力部を備えることを特徴とする請求項１に記載の信号処理システム。     The signal processing system further comprises
    The signal processing system according to claim 1, further comprising: a proposal information output unit that outputs proposal information corresponding to the evaluation result based on the evaluation result of the device evaluation unit.
  3. 　前記信号処理システムは、さらに、
    　前記機器評価部の評価結果に基づいて、前記電気機器の利用者の行動を解析する行動解析部を備えることを特徴とする請求項１または２に記載の信号処理システム。     The signal processing system further comprises
    The signal processing system according to claim 1 or 2, further comprising an action analysis unit that analyzes an action of a user of the electric device based on an evaluation result of the device evaluation unit.
  4. 　前記信号処理システムは、さらに、
    　前記行動解析部の解析結果に基づいて、前記解析結果に対応した解析情報を出力する解析情報出力部を備えることを特徴とする請求項３に記載の信号処理システム。     The signal processing system further comprises
    The signal processing system according to claim 3, further comprising: an analysis information output unit that outputs analysis information corresponding to the analysis result based on an analysis result of the behavior analysis unit.
  5. 　前記状態は、前記電気機器の老朽化状態を含むことを特徴とする請求項１または２に記載の信号処理システム。 The signal processing system according to claim 1, wherein the state includes an aging state of the electric device.
  6. 　前記状態は、前記電気機器の適正状態を含むことを特徴とする請求項１または２に記載の信号処理システム。 The signal processing system according to claim 1, wherein the state includes an appropriate state of the electrical device.
  7. 　前記状態は、前記電気機器の捜索対象状態を含むことを特徴とする請求項１または２に記載の信号処理システム。 The signal processing system according to claim 1, wherein the state includes a search target state of the electric device.
  8. 　前記状態は、前記電気機器の正常／異常状態を含むことを特徴とする請求項１または２に記載の信号処理システム。 The signal processing system according to claim 1, wherein the state includes a normal / abnormal state of the electric device.
  9. 　前記解析情報は、前記利用者の異常行動の検知情報を含むことを特徴とする請求項４に記載の信号処理システム。 The signal processing system according to claim 4, wherein the analysis information includes detection information of an abnormal behavior of the user.
  10. 　前記信号処理システムは、さらに、
    　前記解析情報出力部が出力した解析情報を、管理端末に対して送信する送信部を備えることを特徴とする請求項４または９に記載の信号処理システム。     The signal processing system further comprises
    10. The signal processing system according to claim 4, further comprising: a transmission unit that transmits the analysis information output from the analysis information output unit to a management terminal.
  11. 　前記信号処理システムは、さらに、
    　複数の電気機器に供給される電流及び電圧のアナログ波形データを検知するデータ検知部と、
    　前記データ検知部により検知された前記アナログ波形データをデジタル波形データに変換するデータ変換部と、
    　前記デジタル波形データを、前記電気機器それぞれに対応する個別デジタル波形データに分離する分離部と
    を備え、
    　前記動作推定部は、前記個別デジタル波形データを分析することで、前記電気機器それぞれの動作状況を推定することを特徴とする請求項１～１０のいずれか一項に記載の信号処理システム。     The signal processing system further comprises
    A data detection unit that detects analog waveform data of current and voltage supplied to a plurality of electrical devices;
    A data conversion unit for converting the analog waveform data detected by the data detection unit into digital waveform data;
    And a separation unit that separates the digital waveform data into individual digital waveform data corresponding to each of the electric devices.
    The signal processing system according to any one of claims 1 to 10, wherein the operation estimation unit estimates an operation state of each of the electric devices by analyzing the individual digital waveform data.
  12. 　本発明の信号処理方法は
    　１以上の電気機器に供給される電流及び電圧の情報を分析することで、前記電気機器の動作状況を推定する動作推定ステップと、
    　前記動作推定ステップの推定結果に基づいて、前記電気機器の状態を評価する機器評価ステップと
    を備える信号処理方法。     The signal processing method according to the present invention comprises an operation estimation step of estimating an operation state of the electric device by analyzing information of current and voltage supplied to one or more electric devices.
    And a device evaluation step of evaluating the state of the electric device based on the estimation result of the operation estimation step.
  13. 　本発明の信号処理プログラムは、コンピュータに
    　１以上の電気機器に供給される電流及び電圧の情報を分析することで、前記電気機器の動作状況を推定する動作推定機能と、
    　前記動作推定機能の推定結果に基づいて、前記電気機器の状態を評価する機器評価機能と
    を実現させる信号処理プログラム。     A signal processing program according to the present invention is an operation estimation function of estimating an operation state of the electric device by analyzing information of current and voltage supplied to one or more electric devices in a computer.
    The signal processing program which implement | achieves the apparatus evaluation function which evaluates the state of the said electric equipment based on the presumed result of the said operation estimation function.
PCT/JP2013/085052 2013-12-27 2013-12-27 Signal processing system, signal processing method, and signal processing program WO2015097845A1 (en)

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