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WO2018149817A1 - Procédé mise en œuvre par ordinateur permettant d'économiser de l'énergie - Google Patents

Procédé mise en œuvre par ordinateur permettant d'économiser de l'énergie Download PDF

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Publication number
WO2018149817A1
WO2018149817A1 PCT/EP2018/053537 EP2018053537W WO2018149817A1 WO 2018149817 A1 WO2018149817 A1 WO 2018149817A1 EP 2018053537 W EP2018053537 W EP 2018053537W WO 2018149817 A1 WO2018149817 A1 WO 2018149817A1
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WO
WIPO (PCT)
Prior art keywords
information
energy consumption
household
electronic device
detected
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
Application number
PCT/EP2018/053537
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German (de)
English (en)
Inventor
Sebastian Schmidt
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to EP18705137.0A priority Critical patent/EP3583573A1/fr
Publication of WO2018149817A1 publication Critical patent/WO2018149817A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Recommending goods or services

Definitions

  • the invention relates to a computer-implemented method for saving energy. Furthermore, the invention relates to a data processing device, a computer program product and a computer-readable medium.
  • measuring devices For detecting an energy or power consumption, for example in a private household, it is known from the prior art to use measuring devices. For example, one meter or multiple meters may be installed in a household to capture the power consumption of electronic devices.
  • the disadvantage here is a comparatively high installation costs.
  • such measuring devices are often installable and / or operable only by a trained person, such as by a technician. If comparatively inexpensive devices are used, it has been shown that they sometimes have a high degree of inaccuracy.
  • a measurement of a power consumption in a household is cost-intensive, device-technically complex and often leads to inaccurate results.
  • the measurement of the power consumption of a device requires that the measuring device measure this power consumption over a long period of time, since the consumption is subject to considerable temporal fluctuations.
  • the object of the invention is to provide a computer-implemented method, a device for data processing, a computer program product and a computer-readable medium, with which / which in a simple manner Energy consumption, for example, a household or a commercial space, can be determined and / or lowered.
  • the object with regard to the computer-implemented method is achieved according to the features of claim 1, with regard to the data processing device according to the features of claim 10, with regard to the computer program product according to the features of claim 11 and with regard to the computer-readable medium according to the features of claim 12.
  • a computer-implemented method is provided. This can include the following steps:
  • the detection is preferably carried out via at least one user interface or user interface and / or via at least one sensor.
  • Determining energy consumption and / or energy costs of the at least one device based on the at least one information Alternatively or additionally, calculating the energy consumption and / or the energy costs of the at least one device can be provided based on the at least one information. The determination and / or the calculation preferably takes place by accessing a database.
  • This solution has the advantage that a person with little effort, for example, can capture his electronic device in the form of a television and the process then, for example, a power consumption determined and / or calculated. The energy consumption can then be displayed to the person, or the person is presented with an alternative electronic device of the same type, for example another television, which has a lower energy consumption.
  • the electronic device can be detected easily via the user interface and / or via the sensor. If, for example, the information acquired via the sensor is insufficient, additional information can be introduced via the user interface. Conversely, of course, it is also conceivable.
  • the database can advantageously be accessed in order to determine further information regarding the detected device.
  • At least one piece of information about a household in which the at least one electronic device is provided.
  • at least one piece of information about a commercial area can be detected with the at least one electronic device. This can be done, for example, via the user interface, in which a user enters information about the household.
  • At least one piece of information about a person using the at least one electronic device can be acquired via the user interface and / or via the sensor.
  • the determination and / or calculation explained above then preferably takes place on the basis of the additional information from at least one of said steps.
  • the determination and / or the calculation of the energy consumption can be further improved and refined.
  • the number of people living in the household can be used to deduce the useful life of the electronic device.
  • a computing unit is used for calculating the energy consumption or power consumption and / or the energy costs of the at least one device. It is conceivable that the arithmetic unit for calculating the energy consumption and / or the energy costs, in particular statistically occupied, Average values, in particular via a database accesses. As a result, the calculation of, for example, energy consumption can be further improved.
  • the arithmetic unit performs a rating.
  • the determined and / or calculated energy consumption of the at least one device is then compared with at least one device or several devices of the same type, which are recorded in a database, in particular with regard to energy consumption.
  • a device of the same type can be determined with a lower power consumption in a simple manner.
  • the arithmetic unit for calculating and / or evaluating uses at least one mathematical model, in particular in the form of a regression model and / or in the form of a stochastic model.
  • certain mathematical models can be used to make your own energy consumption calculations.
  • energy consumptions indicated by the manufacturer and / or other sources may also be determined, for example by accessing a database.
  • a mathematical model advantageously not necessarily the manufacturer's information is necessary. If both, ie the consideration of the manufacturer's specification and the calculation with the mathematical model, this leads to extremely accurate results.
  • a respective mathematical model in particular a respective regression model and / or a respective stochastic model, can be provided for a respective class of device types.
  • a model for the class TV and a model for example for the class of refrigerators.
  • the regression model and / or the stochastic model are preferably based on a self-learning algorithm.
  • the calculation and / or evaluation may preferably be updated at certain intervals and / or at certain events, for example when the database is being updated.
  • a detected old device for example, regularly be compared with new devices of the same type.
  • the model used for the calculation and / or evaluation in particular the stochastic model, can be implemented in the form of a self-learning algorithm.
  • the calculation of real energy consumption can be independently improved with so-called test data, ie, for example, real measured energy consumption, the calculation then automatically optimized so that its calculated real energy consumption correspond to the actually occurring measured energy consumption.
  • the algorithm can be designed as artificial intelligence (Kl).
  • a difference of the energy consumption and / or the energy costs between the detected electronic device and the determined device of the same type, which has a lower energy consumption, can be calculated and output.
  • a person using the method can gain an improved impression, for example about energy consumption.
  • the time period is calculated in which the energy cost savings of the determined electronic device of the same type compared to the detected electronic device reaches the procurement costs of the determined device of the same type.
  • a database in which the determined energy consumption and / or the calculated energy consumption and / or the calculated energy costs and / or the calculated energy costs and / or a part or all of the other recorded and / or calculated and / or evaluated information, as well as the results of it are stored.
  • the database may further form, for example, a basis of an artificial neural network.
  • a structured network can be recorded in the database, for example, from user information and / or household information and / or device information and / or device constellations and / or usage habits, the network being expandable especially by new users.
  • their size and quality may increase. For example, conclusions about relationships between user and usage structures can be drawn via the database.
  • an analysis of the database using methods such as Random Forests, Boosting, or Deep Learning allows, for example, the presence of different devices in a household to reveal different forms of complex dependencies that affect energy consumption This makes it possible to draw conclusions about household constellations or consumer behavior.
  • the at least one database is preferably provided on a server and / or on a device for processing the data carrying out the method.
  • the database can be accessed via the Internet or network.
  • the information about a manufacturer and / or a model type and / or a date of manufacture or date of manufacture, such as year, month, day, time, and / or a size and / or mecanicsmerkmai, such as type of image representation such as tube, plasma or LED.
  • a size of the household and / or a living space and / or a size of a commercial space such as an office space, in which or which or at least one electronic device is used to use.
  • a demographic structure of a household and / or a company and / or an office can be used as information.
  • the use of the at least one detected electronic device can be determined depending on the demographic structure of the household.
  • An appropriate model can then be designed, which is additionally based on up-to-date representative statistics, which are determined, for example, via a database of the Deutschen für Konsumaba (GFK).
  • GTK Deutschen für Konsumaba
  • the arithmetic unit uses / use. Furthermore, it is conceivable to consider a number of persons in a household under investigation or a commercial area to be examined. It may therefore be possible for the arithmetic unit to determine from the size and / or the age and / or the number, for example, a usage time of the at least one electronic device, for example via access to the database, and / or calculated. It is also conceivable to consider the price limit of a person with the possible purchase of a new device of the same type.
  • the user interface and / or the sensor is / are part of a mobile device, such as a smartphone or a portable computer or a touchscreen computer or data glasses. It is also conceivable that the user interface and / or the sensor are part of a stationary device, such as a desktop computer.
  • the user interface can be used, for example, as a touch-sensitive screen, for example as a "touchscreen", and / or as a system for gesture recognition and / or as an input device. Device be formed. Alternatively or additionally, it is conceivable that the user interface is designed as a web browser. This can also be done on a stationary device.
  • the sensor is, for example, a camera.
  • the devices located in the household can be detected, for example, via a stationary device, for example via a desktop computer or via a stationary PC, and / or via a mobile device, in particular via the camera of the mobile device.
  • a stationary device for example via a desktop computer or via a stationary PC
  • a mobile device in particular via the camera of the mobile device.
  • the stationary device it is then possible to select, for example, the device to be registered from a manufacturer and / or model list and / or from a manufacturer and / or model database, for example via the web browser.
  • the electronic device is detected via a code, such as a bar code or smart code, and / or an information sign on the device.
  • a code such as a bar code or smart code
  • the detection or selection of the electronic device from a database by means of the user interface.
  • the electronic device can be selected from a list instead of the "scan function" by both a stationary device (for example a PC) and a mobile device (for example a smartphone) become.
  • the respective energy consumption can be output separately for several devices.
  • determining and / or calculating energy costs of the at least one device it may be provided that this is based on energy costs stored in a database and / or empirical values and / or average values which may be stored in a database.
  • a hyperlink in the output of the at least one determined alternative device additionally a hyperlink can be output, which links, for example, a virtual marketplace.
  • links for example, a virtual marketplace.
  • a brand and / or a company can be issued to purchase the device, in particular for sale.
  • the at least one detected electronic device or a respective detected electronic device or a part of the detected electronic devices is assigned to his / her respective room in the household or commercial area.
  • the electronic device may be associated with a living room or a kitchen or a bathroom or a bedroom or an office. This assignment can then form a further information about the electronic device.
  • the output of the consumption and / or the energy costs in a plurality of rooms can then be output for a respective room, in particular on a display, thus enabling a simpler detection of the energy consumption for the user.
  • the arithmetic unit can assign the rooms and / or the at least one electronic device or at least a part of the detected electronic devices of a certain class from at least two classes.
  • a particular class may relate to energy consumption and / or energy costs.
  • a class can stand for a high and a class for low energy consumption and / or energy costs.
  • Another class or classes can then be located between the high and low energy consumption.
  • a class can thus stand for a certain frame of energy consumption and / or for a certain framework of energy costs. This makes it possible for the user to additionally receive the information about the class. leads to an even better overview of its energy consumption and / or its energy costs.
  • the output of the energy consumption and / or the energy cost of the detected electronic device or a respective detected electronic device may then preferably be made together with the information about the corresponding class.
  • the information about the corresponding class can be made by a color representation. For example, it is conceivable that devices of the class with high energy consumption and / or high energy costs are displayed red, for example. Devices of the class with low energy consumption and / or low energy costs can then be displayed green, for example. Intermediate classes are displayed in yellow or in different yellow tones. It is also conceivable that the transitions between the colors can be fluid. The colors have the advantage that the user is encouraged in his decision to make his household more efficient. Thus, for example, devices that are very efficient based on the current state of the art can be highlighted in green.
  • the color can then turn yellow via red into very inefficient devices. If the output of one or more rooms, they can be displayed in accordance with color. Thus, the user recognizes at first glance, where the biggest weaknesses are in his household. It has been shown that reds have a very unpleasant effect on the human psyche and are associated with stress and warning symbols, while green has a soothing effect. This effect can act as a catalyst for users' decision to fix vulnerabilities.
  • the user interface has a user interface where information can be entered. It is also conceivable that questions on the person and / or the household and / or the commercial space and / or the location of the household and / or the location of the commercial area are listed on the user interface and there is a possibility for the corresponding answer. Thus, additional information can be obtained in a simple manner. As a result, as an alternative or in addition to the model that takes into account the demographic structure of the households, additional answers to the questions that the user can easily answer can be taken into account in order to calculate the energy consumption and / or the energy costs. For the model, the concept of the machine Learning, which makes it possible to steadily improve the reliability with growing information, especially in the database.
  • an ammeter in order to detect the energy consumption of one or more devices.
  • a system or a device for data processing is provided. This may include means for carrying out the method according to one or more of the preceding aspects. For example, it is conceivable as a means to provide a user interface and / or a sensor and / or a computing unit and / or a current measuring device and / or an output device.
  • a computer program product comprising instructions which, when executed by a computer by the program, cause it to execute the method according to one or more of the preceding aspects.
  • the computer program product is, for example, an application of a mobile device, such as a smartphone, a tablet, a laptop or a mobile computer.
  • a computer-readable medium which comprises instructions which, when executed by a computer, cause it to To carry out the method according to one or more of the preceding aspects.
  • FIG. 1 shows a schematic representation of a device according to an embodiment
  • FIG. 2 schematically shows a flowchart for a computer-implemented method according to an embodiment
  • Figures 3 to 6 each schematically an output on a display.
  • a mobile device in the form of a smartphone 1 is shown.
  • This has a display 2, which serves as a user interface or as a user interface and can also display information.
  • the smartphone 1 optionally has a sensor in the form of a camera 4.
  • the required information of the electrical device 6 can also be transmitted by means of the display 2, for example by selecting the electrical device 6 from a database via the display 2.
  • a control unit of the smartphone 1 and / or an external control unit 8 can then determine a power consumption of the electronic device 6.
  • the control unit 8 is connected to the smartphone 1 via a network 10, which is shown in a simplified manner by a dashed line.
  • the network 10 is, for example, the Internet.
  • the control unit 8 has a computing unit 12.
  • the information is, for example, information about the manufacturer, the type of model, the time of manufacture and equipment features, such as the device 6 is a TV with a plasma screen.
  • a database 14 further information about the device 6 can be obtained.
  • the database 14 is via a network 16 with the Control unit 8 connected.
  • the energy consumption of the device 6 is already stored in the database 14.
  • the energy consumption can be calculated from the information.
  • the calculated and / or stored energy consumption is then displayed on the display 2 of the smartphone 1.
  • the control unit 8 outputs on the display 2 a device of the same type, which has a lower energy consumption.
  • a possibility is then created on the display 2 that the user of the smartphone 1 can purchase the proposed device of the same type, such as a current television, for example.
  • the user detects a type plate of the television 6 by means of a scanning function of his smartphone 1.
  • the energy consumption of the television 6 depends on critical influencing factors such as the type of image representation, such as tube, plasma or LED, size and age.
  • an annual consumption of the TV 6 is based on its hours of use. For example, a person watches about 240 minutes per day on average. This information can be taken from the database 14, for example. The exact consumption depends on the age of the person. In addition, this value is proportionally lower in a two-person household through more frequent sharing than in a single or three-person household with a teenage child.
  • the user can communicate this data to the control unit 8, for example via his smartphone 1. Even without such an input, however, the user already receives an individualized analysis of the energy consumption of his TV 6, it is sufficient that he scans the said nameplate. In this way, those appliances can be located in the household with too high energy consumption and identified as such in the application. It is conceivable for the user to display graphically not only the respective energy consumption, but also the, in particular, annual, monetary savings potential by remedying the individual weak points in his household.
  • a flow of the computer-implemented method is shown.
  • a first step 18 at least one piece of information about the at least one electronic device 6, see FIG. 1, is detected via the display 2 or via the camera 4.
  • the energy consumption of the device is determined on the basis of the at least one information with the addition of further information from the database 14, see FIG. 1. Additionally or alternatively, in the second step 20, the energy consumption can be calculated on the basis of the at least one information with the additional information from the database 14.
  • the result of the determinations and / or calculations is then output on the display 2, see FIG. 1.
  • strategies for solving the problem can be offered in a following step.
  • FIG. 3 shows various representations 24, 26 and 28 of the display 2 from FIG. 1.
  • the representation 24 additional information about a household can be collected, in which the device 6 is arranged from Figure 1.
  • information about the person using the device 6 or persons can be entered via the display 2.
  • FIG. 4 a further representation 30 of the display 2 can be seen.
  • the household is presented in several areas.
  • a kitchen 32, a bedroom 34, a nursery 36, a living room 38, a bathroom 40, and other room 42 are shown.
  • a respective space 32 to 42 is shown here as a colored area and characterized by an image and / or text as a corresponding space.
  • the kitchen 32 is marked in red
  • the bedroom 34, the nursery 36 and the other room 42 are marked in green
  • the living room 38 is orange and the bathroom 40 yellow.
  • the colors indicate conclusion, what is the determined and / or calculated energy consumption of the electronic devices in these rooms.
  • the rooms 32 to 42 are arranged with respect to their potential for savings, the rooms with the greatest savings potential being arranged at the top and those with the lower saving potential corresponding below the room 32 are selected, in which case the device (s) and their energy consumption / potential for saving is displayed, which is / are provided in this room.
  • FIG. 5 a further representation 44 of the display 2 is shown. Accordingly, an overview of the detected devices of a household is shown. Furthermore, the saving potential of a particular device is stated. In addition, a device is assigned a color between red and green. The color is an indication of the potential savings. Thus, for example, the lower three devices in Figure 5 are marked in green, while the upper left device is marked in red and thus has the greatest savings potential.
  • an additional representation of the consumption difference between the device detected and the device of the same type can be made, whereby a possible saving can be seen directly, the difference then again in kWh and / or Euro per year.
  • the user can be informed when a possible new device of the same type is refinanced by the saving and the user begins to save money. In this way, the user can be made aware that investing in a particular device of the same type may be worthwhile, making a purchase much more likely. This presentation can then not only show the customer the benefits of the new purchase, but also enable him to purchase the more efficient device of the same type via linking to an online shop.
  • FIG. 6 shows a further representation 46 of the display 2. This shows a total power consumption per year of the recorded household.
  • a comparison is made with other users throughout Germany, with regard to a specific city and with regard to a circle of friends. In other words, a so-called “gamification” can be seen in accordance with Figure 6.
  • a mobile device such as a smartphone, via which information from electronic devices, in particular a household, via a user interface and / or via a sensor can be detected. About an internal and / or external control unit can then be determined and / or calculated on the basis of the detected information, a power consumption of the detected device or the detected devices.
  • the device may additionally have a database and / or be connected to a database, in particular to use additional information regarding the detected device or the detected devices for determining the energy consumption.
  • the device may have an output device via which, for example, the energy consumption and / or a device of the same type or devices of the same type can be displayed with lower energy consumption and / or a comparison between devices can be displayed.

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Abstract

L'invention concerne un dispositif mobile, tel qu'un smartphone, par l'intermédiaire duquel des informations provenant des appareils électroniques, en particulier d'un ménage, peuvent être détectées à l'aide d'une interface utilisateur et/ou à l'aide d'un capteur. À l'aide d'une unité de commande interne et/ou externe, une consommation d'énergie de l'appareil détecté ou des appareils détectés peut ensuite, sur la base des informations détectées, être déterminée et/ou calculée. Selon l'invention, le dispositif peut en outre comporter une base de données et/ou ledit dispositif peut être connecté à une base de données, notamment pour utiliser des informations complémentaires relatives à l'appareil détecté ou aux appareils détectés pour la détermination de la consommation d'énergie. En outre, le dispositif peut comporter un dispositif de sortie, par l'intermédiaire duquel, par exemple, la consommation d'énergie et/ou un appareil du même type ou des appareils du même type à une consommation d'énergie plus faible peuvent être affichés et une comparaison entre les appareils peut être affichée.
PCT/EP2018/053537 2017-02-15 2018-02-13 Procédé mise en œuvre par ordinateur permettant d'économiser de l'énergie Ceased WO2018149817A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP18705137.0A EP3583573A1 (fr) 2017-02-15 2018-02-13 Procédé mise en oeuvre par ordinateur permettant d'économiser de l'énergie

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DE102017103081.6 2017-02-15
DE102017103081.6A DE102017103081A1 (de) 2017-02-15 2017-02-15 Computerimplementiertes Verfahren zur Energieeinsparung

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US7552033B1 (en) * 2001-12-20 2009-06-23 The Texas A&M University System System and method for diagnostically evaluating energy consumption systems and components of a facility
CN104268773A (zh) * 2014-09-29 2015-01-07 深圳市百科在线科技发展有限公司 基于消费特征信息的后台家居产品辅助决策方法及系统
AU2015101191A4 (en) * 2015-08-28 2015-10-08 Start Sustainable Pty Ltd Method and software for assessing the financial viability of buying carbon emission-reducing models of powered household appliances
US20160209822A1 (en) * 2015-01-16 2016-07-21 Jennifer Marie Pulliam System and Method for Home Automation
US20160335698A1 (en) * 2015-05-15 2016-11-17 SocketFlip, Inc. Systems and methods for evaluating and purchasing efficient lighting
US20160371762A1 (en) * 2011-06-20 2016-12-22 Renovate America, Inc. System and method for providing energy-efficient product recommendations consistent with defined economic criteria

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DE102007019822A1 (de) 2007-04-26 2008-10-30 Henrik Blase Produktinformationssystem
DE102011076074A1 (de) 2011-05-18 2012-11-22 BSH Bosch und Siemens Hausgeräte GmbH System für die erweiterte Informationsbereitstellung zu einem Produkt sowie zugehöriges Verfahren und Computerprogrammprodukt
WO2014022009A1 (fr) 2012-07-31 2014-02-06 Comito Anthony R Système et procédé de classement d'un produit

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7552033B1 (en) * 2001-12-20 2009-06-23 The Texas A&M University System System and method for diagnostically evaluating energy consumption systems and components of a facility
US20160371762A1 (en) * 2011-06-20 2016-12-22 Renovate America, Inc. System and method for providing energy-efficient product recommendations consistent with defined economic criteria
CN104268773A (zh) * 2014-09-29 2015-01-07 深圳市百科在线科技发展有限公司 基于消费特征信息的后台家居产品辅助决策方法及系统
US20160209822A1 (en) * 2015-01-16 2016-07-21 Jennifer Marie Pulliam System and Method for Home Automation
US20160335698A1 (en) * 2015-05-15 2016-11-17 SocketFlip, Inc. Systems and methods for evaluating and purchasing efficient lighting
AU2015101191A4 (en) * 2015-08-28 2015-10-08 Start Sustainable Pty Ltd Method and software for assessing the financial viability of buying carbon emission-reducing models of powered household appliances

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EP3583573A1 (fr) 2019-12-25

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