Household appliance having a controller for an electrical energy supply network having an associated data network and method for operating a controller of a household appliance on said energy supply network
09785210 · 2017-10-10
Assignee
Inventors
Cpc classification
Y04S40/121
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
Y02B90/20
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
H02J2310/64
ELECTRICITY
F24C7/08
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
A47L15/46
HUMAN NECESSITIES
Y04S20/20
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
Y02B70/30
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
H02J13/00007
ELECTRICITY
International classification
H02J13/00
ELECTRICITY
Abstract
A household appliance includes a controller operating on an energy supply network having a data network for exchanging data via the energy supply network, wherein the network may include smart metering. The controller has a first control component embodies as a computer, a second control component for settings data, a third control component for operating data, and a fourth control component connected with the first control component and including a graph algorithm. The first control component determines data for controlling actuators from the settings data and the operating data. Through cooperation of the first control component, the fourth control component and the graph algorithm, the data from the data network for the household appliance are taken into account so as to allow operation of the household appliance always to continue. A corresponding method for operating such household appliance is also described.
Claims
1. A household appliance having a controller, the controller comprising: a first control component embodied as a computer, a second control component for settings data, a third control component for operating data, actuators controlled by amplifiers, wherein first control component determines data for controlling the actuators from the settings data and the operating data, wherein the controller operates on an energy supply network having a data network for exchanging data via the energy supply network, and a fourth control component connected with the first control component and comprising a graph algorithm, wherein through cooperation of the first control component, the fourth control component and the graph algorithm, the data from the data network for the household appliance are taken into account so as to allow operation of the household appliance always to continue; wherein the graph algorithm controls a process sequence of the household appliance by selecting a succession of individual, incomplete or partial program segments for execution in an optimum manner based on the data from the data network for the household appliance.
2. The household appliance of claim 1, wherein the graph algorithm comprises an algorithm from a class of greedy algorithms.
3. The household appliance of claim 2, wherein the graph algorithm comprises a Dijkstra algorithm.
4. The household appliance of claim 1, wherein the actuators are controlled by the amplifiers by way of parameterization.
5. The household appliance of claim 4, wherein a parameter for a respective actuator is determined by the first control component and is supplied to an input of the amplifier of the respective actuator.
6. The household appliance of claim 4, wherein a specified parameter initiates a recovery of an actuator embodies as an electric motor drive.
7. The household appliance of claim 1, wherein the controller comprises an interface for exchanging data with the energy supply network.
8. The household appliance of claim 7, wherein the interface is assigned to a smart meter.
9. The household appliance of claim 7, wherein the data provided to the controller as data originating from the energy supply network also include data comprising information about a current tariff for consumed energy.
10. The household appliance of claim 7, wherein data present during the exchange of the data also include data that enable energy management of at least one additional household appliance.
11. The household appliance of claim 1, wherein the data network for exchanging data comprises at least one of an energy-transmitting line of the energy supply network, the Internet and a radio transmission link.
12. The household appliance of claim 1, wherein the controller safeguards data of a last-executed process segment when the energy supply network is switched off.
13. A method for operating a controller of a household appliance on an energy supply network providing data transmission of data via the energy supply network, the method comprising: processing with a computer settings data of a controller, operating data from a process of the household appliance and data from the energy supply network for determining control variables for actuators of the household appliance, wherein the computer takes into account a graph algorithm when executing process steps, so that modified process sequences of the household appliance that are modified based on data from the data network can be linked to one another so as to allow operation of the household appliance to always continue; and wherein the graph algorithm controls a process sequence of the household appliance by selecting a succession of individual, incomplete or partial program segments for execution in an optimum manner based on the data from the data network for the household appliance.
14. The method of claim 13, wherein the graph algorithm comprises an algorithm from a class of greedy algorithms.
15. The method of claim 14, wherein the graph algorithm comprises a Dijkstra's algorithm.
16. The method of claim 13, wherein the actuators are controlled by parameterization using a plurality of discrete values.
17. The method of claim 13, wherein data from the energy supply network are processed, with the data having information about a currently available tariff for the consumed energy or for a restrictive target value for reducing energy consumption of the household appliance operated by the controller.
18. The method of claim 13, wherein the data are exchanged via the energy supply network with at least one additional household appliance for distributing available energy between the household appliance and the at least one additional household appliance.
19. The method of claim 13, wherein data representing a process step that was executed last are safeguarded when supply of energy from the energy supply network is prevented.
20. The method of claim 13, wherein data are transmitted via the energy supply network by way of Powerline, Z-Wave or ZigBee.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The invention is described in more detail schematically in the following based on exemplary embodiments illustrated in the drawing. Identical reference characters designate identical or comparable parts. The figures in the drawings are first described briefly.
(2)
(3)
(4)
DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS OF THE PRESENT INVENTION
(5) A conventional structure of a household appliance can be represented as follows with reference to
(6) As a result the respective process result is achieved directly as an objective (for example washed and drained laundry in the case of a washing machine, cleaned and dried dishes in the case of a dishwasher) in the household appliance, as when a vehicle reaches its destination traveling in a straight line from its starting point.
(7) However if an electrical supply network EVN′ in the form of a novel supply network with intelligence is taken into account, changing energy or electricity tariffs in particular have to be considered. Deactivations in the event of overload or regularization of the load in the supply network also have/has to be assumed. Further data transmitted from the supply network can arrive and require an additional reaction on the part of the household appliance. The control structure of the household appliance should be tailored to such a situation. To this end reference is made to
(8) The parameterization with parameters 20 of the actuators 18 (18.1 to 18.n) of the household appliance, in other words the very different possible activation by way of their respective power amplifiers or power switching stages 17 (17.1 to 17.n) means that there is a very wide range of options for the process sequence to proceed from a process start to a process end. As can be seen, the power stages 17 are activated by way of the expander 16 from the electronic controller 12. It should also be assumed here that the operator wishes to tailor the settings data, which is brought together and made available in the control part 13, in a developed manner to the options of a novel supply network EVN′ with intelligence or at least changing, different energy tariffs, possibly even during the process sequence. It may possibly be the intention of the operator to achieve a fast process result, with higher costs for the energy drawn being accepted. It may also be the intention of the operator just to operate the household appliance when the low electricity tariff is available, in which case interruptions to the process sequence are accepted. It may also be that it must also be taken into account that detergent components may have to be added later, if their effect has decreased due to the acceptance of an interruption in the process sequence. Saving the costs of purchasing electrical energy may therefore incur additional costs for detergent or detergent components. It should be clear from the above that by changing the data situation relating to the settings data (see also control part 13), which is initiated by the user, and the data situation relating to the transmitted data from the supply network EVN′, which is available at a data interface 15, e.g. associated with intelligent or smart power management SM generally with associated smart meters (SMART METER), the electronic controller 12 of the controller 10 must deal with very complex requirements. With a process sequence with changing settings data and network data it should therefore be assumed that the sequence from process start to process end can no longer be considered as a straight line.
(9) A process sequence based on the consideration of such a wide range of input data (settings data from the user, data originating from the supply network) can no longer be achieved by a simple (e.g. matrix-type) assignment of input data to the resulting program sequences in or by the controller. Approaches with which a portable storage medium is first defined by way of an external computer for specifying an individual or optimum program from a plurality of possible programs, as disclosed in DE 10 2009 046 720 A1, are less feasible for the simplest appliance utilization possible. It should of course also be taken into account that during the process sequence the settings data is changed, for example by interactive action on the part of the user, as is the data coming from the supply network EVN′. It is therefore necessary to replace the process sequence selected at the start of the process initially—as optimum—with a changed process sequence for the further operation of the household appliance, as the data situation may require this. This change can take place a number of times during the course of the process.
(10) As a result with the household appliance, the controller of which is designed with a view to the novel supply network EVN′ and operated on this, the respective process result is no longer achieved directly as an objective (for example washed and drained laundry in the case of a washing machine, cleaned and dried dishes in the case of a dishwasher) (see above: as when a vehicle reaches its destination traveling in a straight line from its starting point), rather a very complex route is covered, like the route of a vehicle passing through a large number of junctions with various direction changes. In such a situation initial tests have shown, even though is seems obvious in retrospect, that when equipping the controller 11 or the computer-like controller 12 of the household appliance, a region must be provided, in which an algorithm, in particular a graph algorithm, is implemented. Only thus is it possible to determine the selection of a route, which presents itself as a succession of individual, incomplete or partial program segments, without also requiring external computer power. The controller to be designed for the novel supply network EVN′ can therefore—as has been surprisingly proven—be operated with a graph algorithm as an independent unit. The graph algorithm selected can preferably be Dijkstra's algorithm or another algorithm from the greedy algorithm class. If the input data (settings data and data from the network EVN′) of the controller is understood in the sense of existing probabilities, it would be possible to implement a Bayes network to obtain the output data for activating the actuators taking into account their parameters to be adjusted.
(11) With reference to
(12) If a household appliance operates in conjunction with a second household appliance, for example washing machine with tumble dryer, which together can form a washer-dryer stack, in other words both appliances are active, said appliances can either form a data sharing network directly with one another or an exchange of data takes place by way of the data network of the energy supply network EVN. It can then be assumed that when there is a favorable tariff available for electrical energy, the majority of the energy supplied at this favorable tariff will be supplied to the appliance that requires the higher level of power in the process sequence and the other appliance will be switched to a reduced power mode, for example by changing the parameterization of its power stages for activating its actuators, subject to this being reasonable. Reference is also made to DE 10 2008 043 914 A1, which was mentioned above in the introduction.
(13) We will now look, with reference to
(14)