WO2016107724A1 - Procédé de détermination non intrusive d'une consommation d'énergie pour une pluralité d'appareils, dispositif électronique et système correspondants, produit de programme lisible par ordinateur et support de stockage lisible par ordinateur - Google Patents

Procédé de détermination non intrusive d'une consommation d'énergie pour une pluralité d'appareils, dispositif électronique et système correspondants, produit de programme lisible par ordinateur et support de stockage lisible par ordinateur Download PDF

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WO2016107724A1
WO2016107724A1 PCT/EP2015/079202 EP2015079202W WO2016107724A1 WO 2016107724 A1 WO2016107724 A1 WO 2016107724A1 EP 2015079202 W EP2015079202 W EP 2015079202W WO 2016107724 A1 WO2016107724 A1 WO 2016107724A1
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Prior art keywords
power consumption
sliding windows
layer
appliances
time interval
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English (en)
Inventor
Didier Gayrard
Arnaud Le Louet
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Thomson Licensing SAS
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Thomson Licensing SAS
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    • 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

Definitions

  • the present disclosure relates to the field of analyzing consumption of resources, for instance consumption of resources (utilities) like water or energy, notably the analyzing of a global consumption of a plurality of appliances, in a non-intrusive way and more specifically, to methods aiming at detecting anomalies or deviation related to the global consumption of a plurality of appliances, notably in a domestic environment.
  • resources for instance consumption of resources (utilities) like water or energy
  • analyzing of a global consumption of a plurality of appliances in a non-intrusive way and more specifically, to methods aiming at detecting anomalies or deviation related to the global consumption of a plurality of appliances, notably in a domestic environment.
  • a house may comprise more than twenty electrical appliances: laptops, smart phones, washing machines, ovens, radiators...
  • ALM can be divided in two major approaches: namely Intrusive Load Monitoring (ILM) and Non-Intrusive Load Monitoring (NILM) technology.
  • ILM Intrusive Load Monitoring
  • NILM Non-Intrusive Load Monitoring
  • ILM techniques require at least one sensor per appliance, whereas NILM techniques require only a single meter per house.
  • ILM techniques are more accurate in measuring appliance-specific energy consumption, ILM techniques are more costly than NILM techniques.
  • the configuration of multiple sensors is difficult and the complexity of the needed installation is very high, thus favouring the use of NILM techniques.
  • the present disclosure enables some of the above discussed disadvantages to be resolved by proposing a non-intrusive method for determining a power consumption for a plurality of appliances.
  • the method comprises measuring aggregate power consumption of the plurality of appliances during a time interval P for N sliding windows of a duration M and a temporal distance D between successive sliding windows; selecting a number Q sliding windows from the N sliding windows according to a selection criterion for selecting sliding windows with a sum S of power consumption representative for a power consumption layer defined according to appliance use; and calculating an average power consumption per power consumption layer over the time interval P, based on the aggregate power consumption measured over the time interval P for the Q selected sliding windows.
  • appliance use is one of: standby state; producing cold; producing heat; or other.
  • the power consumption layer is one of:
  • a base layer representing a minimum aggregate power consumption of always on applicances and of appliances in standby state
  • a cold production layer representing aggregate power consumption of appliances producing cold
  • a heat production layer representing aggregate power consumption of appliances producing heat
  • the selection criterion comprises selecting, from the N sliding windows, the Q sliding windows with a lowest aggregate power consumption.
  • the selection criterion comprises selecting, from the N sliding windows, the Q sliding windows with a highest aggregate power consumption.
  • the selection criterion comprises selecting, from the N sliding windows, the Q sliding windows with a highest aggregate power consumption.
  • the selection criterion comprises selecting, from the N sliding windows, the Q sliding windows with an aggregate power consumption between the lowest aggregate power consumption and the highest aggregate power consumption.
  • the selection criterion comprises selecting, from the N sliding windows, the Q sliding windows with an ⁇ aggregate power consumption not in any of the previous layers.
  • the duration M and the temporal distance D are specific to each power consumption layer.
  • the method further comprises generating at least one indicator of an power consumption behavior of at least one of the plurality of appliances based on at least one of the at least one calculated average power consumption per power consumption layer.
  • the method further comprises generating an alert according to a criterion of proximity between the indicator and a determined indicator.
  • the method further comprises rendering the indicator on a user interface of a device.
  • the present principles also comprise an electronic device for non-intrusive a power consumption for a plurality of appliances, the device comprising a processor configured to measure aggregate power consumption of the plurality of appliances during a time interval P for N sliding windows of a duration M and a temporal distance D between successive sliding windows; to select a number Q sliding windows from the N sliding windows according to a
  • the electronic device of the present disclosure may be adapted to perform the analyzing method of the present disclosure in any of its embodiments.
  • the present disclosure relates to a system for non-intrusive determining a power consumption for a plurality of appliances, wherein the system comprises a server and at least one device, the at least one device comprising a processor configured to: measure aggregate power consumption of the plurality of appliances during a time interval P for N sliding windows of a duration M and a temporal distance D between successive sliding windows; to select a number Q sliding windows from the N sliding windows according to a selection criterion for selecting sliding windows with a sum S of power consumption representative for a power consumption layer being defined according to appliance use; and to calculate an average power consumption per power consumption layer over the time interval P, based on the aggregate power consumption measured over the time interval P for the Q selected sliding windows.
  • some embodiments may involve a calculating of a layer consumption comprising a defining of at least one sliding window, a selecting of at least one defined sliding window and an assessing on a layer consumption value, and a generating at least one indicator of an energy consumption behavior of the plurality of appliances based on at least one of the at least one calculated layer energy consumption.
  • the present disclosure relates to a non-transitory program storage device, readable by a computer.
  • the non-transitory computer readable program product tangibly embodies a program of instructions executable by a computer to perform the analyzing method described above, in any of its embodiments.
  • the present disclosure relates to a computer readable storage medium carrying a software program comprising program code instructions for performing the analyzing method of the present disclosure, in any of its embodiments, when the non transitory software program is executed by a computer.
  • aspects of the present disclosure can be embodied as a system, method, or computer readable medium.
  • aspects of the present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, and so forth), or an embodiment combining software and hardware aspects that can all generally be referred to herein as a "circuit", module" or "system”.
  • aspects of the present disclosure can take the form of a computer readable storage medium. Any combination of one or more computer readable storage medium(s) may be utilized.
  • a computer readable storage medium can take the form of a computer readable program product embodied in one or more computer readable medium(s) and having computer readable program code embodied thereon that is executable by a computer.
  • a computer readable storage medium as used herein is considered a non-transitory storage medium given the inherent capability to store the information therein as well as the inherent capability to provide retrieval of the information therefrom.
  • a computer readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing.
  • a portable computer diskette a hard disk, a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a portable compact disc read- only memory (CD-ROM), an optical storage device; a magnetic storage device, or any suitable combination of the foregoing.
  • ROM read-only memory
  • EPROM or Flash memory erasable programmable read-only memory
  • CD-ROM compact disc read- only memory
  • Figure 1 shows an example of a system according to a particular embodiment of the present disclosure
  • Figure 2 is a functional diagram that illustrates a particular embodiment of the analyzing method of the present disclosure, compatible with the embodiment illustrated by figure 1 .
  • Figure 3 illustrates an electronic device adapted to at least one particular embodiment of the present disclosure.
  • At least one embodiment of the present disclosure offers a new way of analyzing the utility consumption behavior of a plurality of appliances, for example a plurality of domestic appliances, without the need of disaggregating the global consumption for said plurality of appliances between each appliance of the plurality of appliances monitored.
  • the consumption may notably relate to a resource or utility like water or like any kind of energy (for instance power, gas, petrol).
  • the global consumption of a monitored plurality of appliances is collected during at least one given duration (for instance during a time interval having a duration of several hours, a day, a week, a month,).
  • the samples collected are assessed in order to calculate a layer consumption for at least one layer, amongst a plurality of energy layers. At least one of the calculated layer consumption may then be used for generating an indicator of the energy consumption behavior of the plurality of appliances.
  • the monitored resource is electrical power.
  • other embodiments may monitor other resources/utilities, like water.
  • Figure 1 illustrates an example of a system according to a particular embodiment of the present disclosure.
  • the system comprises at least one electronic device (1 10, 120, 130, 150) adapted to implement at least one embodiment of the analyzing method of the present disclosure.
  • the electronic device may notably be adapted to collect the global power consumption of a plurality (1 12, 122) of electrical appliances.
  • the plurality of appliances may comprise all the electrical appliances present in a domestic environment for instance.
  • such an electronic device (1 10, 120) may be adapted to measure the global power consumption of the plurality of appliances. It may for instance be a smart meter (1 10, 120) of a house. In other embodiments, it may be a standalone device (130, 150) equipped with means for obtaining the global energy consumption of a plurality of appliances.
  • Such means for obtaining the global energy consumption may include acquiring means, like a probe for acquiring the global power consumption as evaluated by a meter, or communication means, notably a LAN (for Local Area Network) or WAN (for Wide Area Network) interface, adapted for receiving a measured global power consumption from a smart meter 120.
  • the device 130 may be located in the domestic environment of the plurality of appliances and comprises a communication interface with a domestic network (for instance a WIFI® interface) in order to communicate with a meter 120.
  • a domestic network for instance a WIFI® interface
  • the electronic device (1 10, 130) may further exchange data with a distant server, thanks to a wide area network 140, for instance a broadband network, in order to obtain reference data, notably reference data related to the power consumption of other plurality of appliances.
  • a distant server thanks to a wide area network 140, for instance a broadband network, in order to obtain reference data, notably reference data related to the power consumption of other plurality of appliances.
  • the device 150 may also be situated at a distant location and comprises a communication interface with a WAN network, for instance a broadband communication interface, in order to collect the global power consumption of pluralities of appliances measured by a meter 1 10, 120.
  • a WAN network for instance a broadband communication interface
  • the electronic device may for instance be a personal computer, a laptop, a tablet, a smartphone, a gateway, a smart meter, a server, or a set top box.
  • Figure 2 illustrates the analyzing method 200 of the present disclosure.
  • the analyzing method comprises collecting 210 power consumption samples during a determined time interval and calculating 220 a power consumption for at least one layer belonging to a plurality of energy layers.
  • a power consumption value assigned to a layer may be calculated once the analyzed time interval is elapsed, or after several iterations (for example periodically) during the analyzed time interval.
  • the plurality of energy layers may for instance be constituted of the following layers:
  • the base layer may be considered as representative of the minimum power consumption of the monitored plurality of appliances. Indeed, the power consumption of all the appliances in a house for instance, will generally be not zero, even during night time, because devices are in a standby state, or because devices are permanently in use (such as servers, ADSL portals, electrical alarm clocks, . ..). Thus, the base layer notably includes the parasitic consumption of the plurality of appliances.
  • the "cold production" layer may enable to take into account energy consumption linked to a periodic activity of cyclic appliances, notably the cold-related part of the monitored plurality of appliances (freezers, refrigerators, etc. ).
  • the "high power” layer comprises high “peaks” of power consumption. Such peaks may be due to appliances like electric heating appliances (often called “white” appliances), ovens and other products of high consumption (irons, ovens ).
  • another layer may represent the entire power consumption related to appliances used during a user's everyday life, that do not operate continuously.
  • appliances include devices (also called “grey” devices) like TV sets, computers,... They may also include lighting, Small Power Appliances, etc.
  • the calculation 220 of a power consumption related to a layer comprises defining 222 at least one sliding window inside the analyzed time interval.
  • Each sliding window may be assigned a power consumption value being the sum of collected power samples related to its time interval.
  • defining a sliding window may take into account different definition criterions, notably:
  • Those definition criterions may depend upon the considered layer.
  • two sliding windows may temporally overlap or be temporally disjoint.
  • the calculating 220 also comprises selecting 224 sliding windows amongst the defined sliding windows.
  • the selecting of a sliding window may take into account different selection criterions, notably: an exceedingof a determined threshold of energy consumption by each sample related to at least one part of a defined sliding window;
  • Those selection criterions may differ according to the layer that is considered.
  • the calculating 220 also comprises assessing
  • a power consumption value in association with the layer called herein layer power consumption value
  • the assessing taking into account the power consumption samples collected during the selected sliding windows of the layer.
  • the assessing results in an obtaining of a calculated layer consumption.
  • a layer power consumption may be calculated for all the layers of the plurality of layers, or for at least one of those layers.
  • an iteration 221 of the calculating is performed for each layer, the layer power consumption values being for instance calculated sequentially, one by one.
  • the calculating of the layer power consumption values may be performed concurrently. For instance, the defining of sliding windows may be first performed for all the layers to be considered, followed by the selecting of sliding windows for all the layers to be considered, followed by the assessing of power consumption values for each layer to be considered.
  • the analyzing method further comprises generating 230 an indicator of an energy consumption behavior of the plurality of appliances.
  • This indicator may vary upon embodiments. For instance, it may be equal or proportional to the layer power consumption calculated for one layer. It may also be a ratio between one of the layer power consumption calculated and the global power consumption of the plurality of appliances, or a ratio between at least two of the layer power consumption calculated, or an indicator based on several ratios, notably ratios between each of the layer power consumption calculated and the global power consumption of the plurality of appliances.
  • the analyzing method further comprises comparing 240 the generated indicator with a determined indicator, for instance an indicator having a pre-determined value stored during the configuration of the electronic device or a value obtained from a distant server, or a former value of the indicator related to the same plurality of appliances (for example the latest former value generated for the indicator), or an average value of the indicator during a determined time period, for instance a time interval greater than the analyzed time interval.
  • a determined indicator for instance an indicator having a pre-determined value stored during the configuration of the electronic device or a value obtained from a distant server, or a former value of the indicator related to the same plurality of appliances (for example the latest former value generated for the indicator), or an average value of the indicator during a determined time period, for instance a time interval greater than the analyzed time interval.
  • It may also be a reference value of the indicator obtained from another device, for instance a distant server, and related to at least one other plurality of appliances.
  • the reference indicator may relate to the same analyzed time interval as the generated indicator, to
  • This comparing step 240 is an optional one. Notably, in some embodiments where the method further comprises rendering/presenting 260 the generated indicator on a user interface of the device, no comparing may be performed by the device. In other embodiments, the generated indicator may be transmitted to another device, for instance a distant server, for further processing.
  • the method may also comprise generating 250 an alert, the generating depending on a criteria of proximity between the generated indicator and the determined indicator. For instance, an alert may be generated when the difference between both indicators is greater that a given threshold. This generating is optional.
  • the method further comprises rendering/presenting 260 the generated indicator on a user interface of the device.
  • the rendering/presenting may also comprise a rendering/presenting of the determined indicator.
  • the rendering/presenting may notably involve a display of the generated indicator and/or determined indicator through graphics. For instance, series of layer consumption values may be displayed on weekly or monthly basiss, for showing the weekly or monthly evolution of the indicator.
  • calculating 220 a layer power consumption for the base layer may comprise defining 222 sliding windows having a determined size (or duration) of several minutes, for instance a size between 1 to 5 minutes, for example 3 minutes.
  • a determined number N of sliding windows may be defined, with N having a value between 1 to 5, for instance 2.
  • the calculation 220 of the layer power consumption of the base layer may notably comprise selecting 224 a determined number Q of defined sliding windows.
  • This determined number Q may notably have a value between 1 to 20, for instance 10.
  • the Q sliding windows may be selected according a selection criteria related to the sum S and/or the variance V of all candidate Q-tuples formed by power consumption values of the N defined sliding windows.
  • the selection criterion may for instance be a criterion of minimization of the sum S and the variance V of candidates Q-tuples. Such a criterion may enable selection of only the sliding windows that are relative to the minimum power consumption of all the plurality of appliances, while not taking into account a power cut incident.
  • the calculation 220 of the base layer may for instance comprise an assessing 226 taking into account the power consumption values of the selected sliding windows, the size of the sliding windows and/or the duration of the analyzed time interval.
  • the layer power consumption of the base layer may be expressed as the power consumption (in Wh) PC_base:
  • - P is the duration of the analyzed time interval in minutes (for instance 4320 minutes);
  • M is the determined size of the defined sliding windows
  • Q is the number of selected sliding windows
  • - S is the sum of the power consumption values of the Q selected sliding windows, expressed in Watt/hour (Wh).
  • Calculating 220 a layer power consumption for the cold production layer may comprise defining 222 sliding windows having a determined size M of 90 to 150 minutes, for instance 120 minutes, with a determined distance D between the lowest time value of two successive sliding windows having a value between 20 to 40 minutes, for instance 30 minutes.
  • each defined sliding window for the cold production layer is defined so that no collected power consumption sample related of the defined sliding window has a value being above a given threshold, called herein "cold threshold".
  • Such a threshold may depend of the plurality of appliances monitored (notably, it may depend of the number of cold production appliances belonging to the plurality of appliances). It may be chosen for instance as an instant power value between 300 W to 500 W (or a power consumption value between 6 to 8 Wh per minute).
  • the calculation 220 of the layer power consumption related to the cold production layer may notably comprises selecting 224 a determined number Q of defined sliding windows.
  • This determined number Q may notably have a value between 1 to 10, for instance 5.
  • the Q sliding windows may be selected according a selection criterion related to the sum S and/or the variance V of all candidate Q-tuples formed by power consumption values of the N defined sliding windows.
  • the selection criterion may for instance be a criterion of minimization of the sum S and the variance V of candidates Q-tuples.
  • the calculation 220 of the layer power consumption of the cold production layer may for instance comprise an assessing 226 taking into account the power consumption values of the selected sliding windows, the size of the sliding windows and/or the duration for the analyzed time interval.
  • the layer power consumption of the cold production layer may be expressed as the power consumption (in Wh) PC_cold:
  • PC _cold PCjcold raw— PC_ba.se
  • PC_base is the base layer power consumption expressed in Wh, and:
  • P is the duration of the analyzed time interval in minutes (for instance 4320 minutes); M is the size of the defined sliding windows;
  • Q is the number of selected sliding windows
  • S is the sum of the power consumption values of the Q selected sliding windows, expressed in Wh.
  • Calculating 220 a layer power consumption value for the high power layer may comprise defining 222 sliding windows, with a determined distance D between the lowest time value of two successive sliding windows having a value between 0 to 5 minutes, for instance 3 minutes. Each sliding window may have a determined size of less than 5 minutes, for instance 3 minutes.
  • the number N of defined sliding windows for the high power layer may notably depend of the duration P of the analyzed time interval and of the determined distance D between two sliding windows. For instance, the number N of defined sliding windows may be close or equal to P/(D -1 ).
  • the calculation of the layer power consumption of the high power layer may also comprise selecting some defined sliding windows.
  • the defined sliding windows may be selected according a selection criterion taking account of a given threshold, called herein "high power threshold", being greater than the cold threshold.
  • the selection criterion may be a power consumption value associated with a defined sliding window being greater than M * HPT (with M being the size of the sliding windows and HPT being the High Power Threshold value)
  • HPT High Power Threshold value
  • the value of the high power threshold may depend of the plurality of appliances monitored and notably of the number of high power appliances belonging to the plurality of appliances.
  • the high power threshold may be notably an instant power between 1000 W to 1500 W, for instance 1200 W (or a power consumption value between 16 to 25 Wh per minute, for instance 20 Wh per minute).
  • the high power threshold may be given a static value or may be assigned a dynamic value.
  • the calculation of the layer power consumption of the high power layer may for instance comprise an assessing 226 taking into account the power consumption values of the selected sliding windows, the size of the sliding windows and/or the duration for the analyzed time interval.
  • the layer power consumption of the high power layer may be expressed as the power consumption (in Wh) PCJiigh:
  • PC_high S— PC_cold_raw *— -— )
  • P is the duration of the analyzed time interval in minutes (for instance 4320 minutes); M is the size of the defined sliding windows;
  • Q is the number of selected sliding windows
  • S is the sum of the power consumption values of the Q selected sliding windows, expressed in Wh;
  • PC_cold_raw represents the sum of the layer power consumptions of the cold layer and of the base layer.
  • the plurality of layers achieves a partition of the power consumption samples collected.
  • the layer power consumption of the miscellaneous layer may be calculated as the remaining power consumption once subtracted to the global power consumption of the analyzed time interval the power consumption values related to all the other layers (namely in the particular embodiment described, the base layer, the cold production layer and the high power layer).
  • the power consumption of the miscellaneous layer CL may be expressed as
  • PC_global is the global power consumption on the analyzed time interval
  • PCJiigh is the power consumption of the "high power" layer on the analyzed time interval
  • PC_cold is the layer power consumption of the "cold production" layer on the analyzed time interval
  • PC_base is the layer power consumption of the "base” layer on the analyzed time interval
  • the values of the thresholds may be defined statically (for instance they may be arbitrary values defined by an operator, for instance an authorized supervisor, or by an inhabitant of the house of instance, or they may be obtained by self-learning).
  • a threshold may be calculated from statistical data (either related to the power consumption of the same plurality of appliances, on a long term period (like a year for instance), or to a given set of pluralities of appliances).
  • the distribution of the global power consumption between the different layers and the ratio between the calculated layer power consumption values enables to obtain an idea of the impact of groups of appliances of the monitored plurality of appliances associated with layers.
  • a layer may itself be cut in several classes, or sub-layers, and the layer power consumption of a given layer may further be split between several power consumption values, each related to a class of the given layer.
  • the "pulse” class may notably comprise periodic peaks and dips of power consumption being close to each other, with alternation, so that the nature of these oscillations may present some fundamental frequencies.
  • the time period associated to the "pulse” class may for instance be a period of one minute, a few minutes (for instance 2 to 6 minutes), less than 10 minutes etc.
  • the "pulse” class may be related to central vapor irons, autonomous heating, or ovens, for instance.
  • the "No periodical flat” class may relate to power consumption values linked to phases of continuous consumption over duration greater than the period defined for the "pulse" class. For instance, if the pulse class is associated to pulses of less than 5 minutes, the "no periodical flat” class may be associated with phases of continuous consumption having a duration comprised between 5 minutes to one or two hours.
  • the "No periodical flat" class may be related to devices whose use is controlled manually by a user (thanks to a manual switch for instance) or by a timer, like auxiliary heating, hairdryer, "white” appliances such as tumble dryers, washing machines, and so on
  • the "periodical flat” class may relate to power consumption linked to periodical power consumption with a period greater than the duration of pulse class, (for instance a period of N minutes, with N greater than 5) with a given duty cycle of less than 30 to 50% may be chosen.
  • the "periodical flat” class may be related to devices like electric heaters (either heaters programmed centrally or individual electric heaters, notably individual heaters provided with a regulation from a programming hysteresis temperature).
  • Figure 3 now describes the structure of an electronic device 30, as the electric devices 1 10, 120, 130, 150 illustrated by figure 1 .
  • This device may notably be a smart meter 1 10, 120, a standalone device 130, located either near a meter, or a distant server 150.
  • the electronic device 30 comprises following modules, link together via a data and address bus 300, which may also carry a timer signal:
  • micro-processor 31 (or CPU) ;
  • a graphic card 32 (depending on embodiments, such a card may be optional);
  • At least one Input/ Output module 34 (like a keyboard, a mouse, a webcam, a probe, a microphone, a loud-speaker, a probe for acquiring a power consumption from a meter, and so on );
  • ROM Read Only Memory
  • a RAM (or « Random Access Memory ») 36 a RAM (or « Random Access Memory ») 36 ;
  • a communication interface 37 configured for the reception and/or transmission of data, for example via a wireless connection (notably of type WIFI® or Bluetooth);
  • the electronic device 30 may also comprise, or be connected to, a display module 33, for instance a display screen, directly connected to the graphic card 32 by a dedicated bus 330.
  • the display module may be external to the electronic device 30.
  • the electronic device 30 may communicate with the display module 33 thanks to wireless means.
  • the electronic device 30 may communicate with the display module thanks to wired means, like a cable transmitting display signals.
  • the electronic device 30 may comprise a connector (not illustrated) or other means for transmitting adapted to transmit a display signal to an external display apparatus like an LCD or plasma screen or a video projector.
  • Each of the mentioned memories may comprise at least one register, that is to say a memory zone of low capacity (a few binary data) or high capacity (with a capability of storage of a whole program or of all or part of data representative of data to be calculated or displayed).
  • the microprocessor 31 loads and executes the program instructions 360 contained in a register of the RAM 36, and notably the algorithms needed of performing at least one embodiment of the analyzing method described herein.
  • the electronic device 30 comprises several microprocessors.
  • the power source 39 is external to the electronic device 30.
  • the microprocessor 31 may be configured for analyzing a global consumption of a plurality of appliances.
  • the microprocessor is notably configured to measure aggregate power consumption of the plurality of appliances during a time interval P for N sliding windows of a duration M and a temporal distance D between successive sliding windows; to select a number Q sliding windows from the N sliding windows according to a selection criterion for selecting sliding windows with a sum S of power consumption representative for a power consumption layer defined according to appliance use; and to calculate an average power consumption per power consumption layer over the time interval P, based on the aggregate power consumption measured over the time interval P for the Q selected sliding windows.

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Abstract

L'invention concerne un procédé non intrusif, et un appareil et un système correspondants, pour déterminer une consommation d'énergie pour une pluralité d'appareils, qui comprend de mesurer la consommation d'énergie totale de la pluralité d'appareils pendant un intervalle de temps P pour N fenêtres glissantes d'une durée M et une distance temporelle D entre des fenêtres glissantes successives; de sélectionner un nombre Q de fenêtres glissantes parmi les N fenêtres glissantes en fonction d'un critère de sélection pour sélectionner des fenêtres glissantes avec une somme S représentative d'une couche de consommation d'énergie définie selon l'utilisation des appareils; et de calculer une consommation d'énergie moyenne par couche de consommation d'énergie pendant l'intervalle de temps P, sur la base de la consommation électrique totale mesurée sur l'intervalle de temps P pour les Q fenêtres glissantes sélectionnées.
PCT/EP2015/079202 2014-12-30 2015-12-10 Procédé de détermination non intrusive d'une consommation d'énergie pour une pluralité d'appareils, dispositif électronique et système correspondants, produit de programme lisible par ordinateur et support de stockage lisible par ordinateur Ceased WO2016107724A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP14307212.2 2014-12-30
EP14307212.2A EP3040935A1 (fr) 2014-12-30 2014-12-30 Procédé d'analyse et dispositif électronique correspondant, système, produit de programme lisible par ordinateur et support de stockage lisible par ordinateur

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WO2016107724A1 true WO2016107724A1 (fr) 2016-07-07

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CN112449141A (zh) * 2019-09-04 2021-03-05 三星电子株式会社 用于处理输入视频的系统和方法

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WO2020114141A1 (fr) * 2018-12-07 2020-06-11 江苏智臻能源科技有限公司 Procédé d'identification non intrusive pour mélangeur à grande vitesse
CN112449141A (zh) * 2019-09-04 2021-03-05 三星电子株式会社 用于处理输入视频的系统和方法

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