WO2015097845A1 - Système de traitement de signal, procédé de traitement de signal et programme de traitement de signal - Google Patents
Système de traitement de signal, procédé de traitement de signal et programme de traitement de signal Download PDFInfo
- Publication number
- 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
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- signal processing
- unit
- processing system
- state
- analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
Definitions
- 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.
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
La présente invention concerne l'estimation et l'évaluation en détail de l'état de fonctionnement de chaque dispositif parmi une pluralité de dispositifs électriques à partir de leurs informations de courant et de tension. Un système de traitement de signal selon la présente invention comprend : une unité d'estimation de fonctionnement destinée à analyser les informations du courant et de la tension délivrés à un ou plusieurs dispositifs électriques afin d'estimer les états de fonctionnement des dispositifs électriques ; et une unité d'évaluation de dispositif destinée à évaluer, sur la base du résultat d'estimation de l'unité d'estimation de fonctionnement, les états des dispositifs électriques.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2013/085052 WO2015097845A1 (fr) | 2013-12-27 | 2013-12-27 | Système de traitement de signal, procédé de traitement de signal et programme de traitement de signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2013/085052 WO2015097845A1 (fr) | 2013-12-27 | 2013-12-27 | Système de traitement de signal, procédé de traitement de signal et programme de traitement de signal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2015097845A1 true WO2015097845A1 (fr) | 2015-07-02 |
Family
ID=53477780
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/JP2013/085052 Ceased WO2015097845A1 (fr) | 2013-12-27 | 2013-12-27 | Système de traitement de signal, procédé de traitement de signal et programme de traitement de signal |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2015097845A1 (fr) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017126705A1 (fr) | 2016-01-21 | 2017-07-27 | インフォメティス株式会社 | Système d'identification de modèle, procédé d'identification de modèle, et programme d'identification de modèle |
| JP2018049321A (ja) * | 2016-09-20 | 2018-03-29 | ヤフー株式会社 | 推定装置、推定方法および推定プログラム |
| JP2018074690A (ja) * | 2016-10-26 | 2018-05-10 | パナソニックIpマネジメント株式会社 | 推定システム、管理システム及びプログラム |
| WO2019058590A1 (fr) * | 2017-09-20 | 2019-03-28 | 三菱電機株式会社 | Système de surveillance, procédé de surveillance, réfrigérateur, et terminal de communication |
| US11346867B2 (en) | 2018-01-17 | 2022-05-31 | Nec Corporation | Facility state monitoring system, analysis apparatus, method, and program |
| JP2022090627A (ja) * | 2020-12-07 | 2022-06-17 | 旭化成ホームズ株式会社 | サービス提供システム、建物および賃貸住宅 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009125659A1 (fr) * | 2008-04-11 | 2009-10-15 | 三菱電機株式会社 | Dispositif de détection d’état de dispositif, procédé de détection d’état de dispositif, serveur de détection d’état de dispositif, système de détection d’état de dispositif, dispositif de détection d’anomalie de dispositif sous tension, système de détection d’anomalie de dispositif sous tension, procédé de détection d’anomalie de dispositif sous tension, et serveur de maintien de base de données d’états de dispositifs |
| JP2011076253A (ja) * | 2009-09-29 | 2011-04-14 | Mitsubishi Electric Corp | 検出装置、テレビジョン装置、分電盤、管理システム、検出方法及びプログラム |
| JP2011155445A (ja) * | 2010-01-27 | 2011-08-11 | Nippon Telegr & Teleph Corp <Ntt> | 情報収集システム及び方法 |
| WO2013136935A1 (fr) * | 2012-03-13 | 2013-09-19 | インフォメティス株式会社 | Capteur, processeur de signaux du capteur, et codeur de signaux de ligne de transport d'énergie |
| JP2013213825A (ja) * | 2012-03-30 | 2013-10-17 | Infometis Co Ltd | 電気機器をモニタするための方法、及び、モニタ装置 |
-
2013
- 2013-12-27 WO PCT/JP2013/085052 patent/WO2015097845A1/fr not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009125659A1 (fr) * | 2008-04-11 | 2009-10-15 | 三菱電機株式会社 | Dispositif de détection d’état de dispositif, procédé de détection d’état de dispositif, serveur de détection d’état de dispositif, système de détection d’état de dispositif, dispositif de détection d’anomalie de dispositif sous tension, système de détection d’anomalie de dispositif sous tension, procédé de détection d’anomalie de dispositif sous tension, et serveur de maintien de base de données d’états de dispositifs |
| JP2011076253A (ja) * | 2009-09-29 | 2011-04-14 | Mitsubishi Electric Corp | 検出装置、テレビジョン装置、分電盤、管理システム、検出方法及びプログラム |
| JP2011155445A (ja) * | 2010-01-27 | 2011-08-11 | Nippon Telegr & Teleph Corp <Ntt> | 情報収集システム及び方法 |
| WO2013136935A1 (fr) * | 2012-03-13 | 2013-09-19 | インフォメティス株式会社 | Capteur, processeur de signaux du capteur, et codeur de signaux de ligne de transport d'énergie |
| JP2013213825A (ja) * | 2012-03-30 | 2013-10-17 | Infometis Co Ltd | 電気機器をモニタするための方法、及び、モニタ装置 |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017126705A1 (fr) | 2016-01-21 | 2017-07-27 | インフォメティス株式会社 | Système d'identification de modèle, procédé d'identification de modèle, et programme d'identification de modèle |
| US11281979B2 (en) | 2016-01-21 | 2022-03-22 | Informetis Corporation | Model identification system, model identification method, and model identification program |
| JP2018049321A (ja) * | 2016-09-20 | 2018-03-29 | ヤフー株式会社 | 推定装置、推定方法および推定プログラム |
| JP2018074690A (ja) * | 2016-10-26 | 2018-05-10 | パナソニックIpマネジメント株式会社 | 推定システム、管理システム及びプログラム |
| WO2019058590A1 (fr) * | 2017-09-20 | 2019-03-28 | 三菱電機株式会社 | Système de surveillance, procédé de surveillance, réfrigérateur, et terminal de communication |
| JPWO2019058590A1 (ja) * | 2017-09-20 | 2020-01-23 | 三菱電機株式会社 | 見守りシステム、見守り方法、冷蔵庫、及び通信端末 |
| US11346867B2 (en) | 2018-01-17 | 2022-05-31 | Nec Corporation | Facility state monitoring system, analysis apparatus, method, and program |
| JP2022090627A (ja) * | 2020-12-07 | 2022-06-17 | 旭化成ホームズ株式会社 | サービス提供システム、建物および賃貸住宅 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2015097845A1 (fr) | Système de traitement de signal, procédé de traitement de signal et programme de traitement de signal | |
| JP6609657B2 (ja) | 情報提供方法及び情報提供装置 | |
| CN102842204B (zh) | 生活者异常探测装置、生活者异常探测系统及方法 | |
| US8886489B2 (en) | Motion detecting method and device | |
| CA2754233C (fr) | Unite de gestion de l'energie a fonctions de diagnostic | |
| AU2011260098B2 (en) | Determining an indication of a background level of utility consumption | |
| CN102027518B (zh) | 用于检测人的日常生活的活动的系统和方法 | |
| Liao et al. | Detecting household activity patterns from smart meter data | |
| JP5520807B2 (ja) | 住宅用電気機器メンテナンス管理装置及び住宅用電気機器メンテナンスシステム | |
| Firth et al. | Decision support systems for domestic retrofit provision using smart home data streams | |
| Patrono et al. | An innovative approach for monitoring elderly behavior by detecting home appliance's usage | |
| CN106292574B (zh) | 面向公寓的远程看护系统和用于其的远程监视装置 | |
| US20140316594A1 (en) | Systems, devices, and methods for reducing safety risk and optimizing energy use | |
| Patrono et al. | Unobtrusive detection of home appliance's usage for elderly monitoring | |
| JP2016066198A (ja) | 住戸居住者用熱中症発生警報システム | |
| CN105402795A (zh) | 吸油烟机及其检测方法和装置及移动通讯终端 | |
| CN114326422A (zh) | 一种基于智能家居用ZigBee远程控制器 | |
| WO2017149367A1 (fr) | Système de commande de puissance à entrées multiples et dispositif de prise de courant | |
| Wilson et al. | Identifying the time profile of everyday activities in the home using smart meter data | |
| JP5558520B2 (ja) | 状態判定装置、状態判定システム、状態判定方法及びプログラム | |
| JP6452593B2 (ja) | 情報処理装置及び情報処理方法 | |
| WO2020254525A1 (fr) | Dispositif en ligne et procédé de commande d'un appareil électrique | |
| TWI513133B (zh) | 電力插座以及電器事件偵測方法 | |
| KR102233937B1 (ko) | 돌봄 플러그 장치의 센싱 데이터에 대해 시맨틱 분석을 통한 건강 관리 서버 및 그 방법 | |
| JP5920933B2 (ja) | 独居者見守りシステム、独居者見守り方法及びプログラム |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 13900033 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 13900033 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: JP |