DE102016212976A1 - Method and device for determining in particular a cleaning strategy - Google Patents

Abstract

In particular, there is disclosed a method performed by one or more devices, the method comprising: obtaining intensity information (210, 212) representative of a spectral image (208) resulting from an impurity (204, 302) of a textile (202, 304); Determining at least one output dependent on the composition of the contaminant (204, 302) from the intensity information (210, 212); and issuing or triggering output of the at least one output

Description

Field of the invention

The invention relates to methods and devices with which at least one output variable is determined via a spectral image resulting from an impurity on a textile, in particular at least one parameter of a cleaning strategy.

Background of the invention

Impurities on a textile such as garments, curtains or bedding are often difficult to identify. Impurities can not only affect the aesthetics of the textiles, but also represent a hygienic problem for the user of the textile.

Although many impurities are easy to detect by eye, it is often unclear to the user of the textile which composition or origin of the contaminant. For example, in some cases, the user is unaware that the fabric is being contaminated by a mishap. The contamination then falls to the user only at a later time, with the cause and the composition of the contamination close to the user. Impurities with different compositions can also have a very similar appearance to the eye, for example blood stains and tomato stains, especially after a certain period of time, can no longer be distinguished from the eye.

Here it is desirable for the user to obtain an indication of the composition of the contaminant. In particular, hygienic problems with the textiles can be identified or excluded. In addition, it is usually of interest to remove the contamination by a cleaning process again. Such cleaning processes can be considerably facilitated or even made possible by indications of the composition of the impurity.

General description of some exemplary embodiments of the invention

Against the background of the illustrated prior art, it is therefore an object of the invention to at least partially reduce or avoid the problems described, that is to provide information on the composition of impurities on textiles. The proposed methods and devices should also be able to be used in a user-friendly manner in the household in particular.

According to a first aspect of the invention, there is described a method performed by one or more devices, the method comprising: obtaining intensity information representative of a spectral image resulting from contamination of a textile; Determining at least one output dependent on the composition of the impurity output from the intensity information; and issuing or triggering output of the at least one output.

According to a second aspect of the invention, a device is described which is set up or comprises corresponding means for carrying out and / or controlling a method according to the first aspect. Devices of the method according to the first aspect are or comprise in particular one or more devices according to the second aspect.

Reflecting and emitting radiation, such as electromagnetic radiation, from the contaminant results in a spectral image. The resulting spectral image, which includes the intensity and energy distribution of the resulting radiation, is directly affected by the composition of the contaminant. The composition of the contamination of the textile may be understood to mean the chemical composition and thus the type of contamination, the degree of contamination and / or the spatial distribution of the contaminant, such as the form of the contaminant.

An impurity is understood in particular to be an accumulation of foreign matter on a material of a textile or a discoloration of the surface of the textile, in particular in the form of a stain, dirt or imperfections. For example, on the surface are particles such as dust, traces of liquids, dyes or greasy residues. Furthermore, unfixed textile dyes may also have been incorporated in the textile material, with the unfixed textile dyes being able to detach from the material, for example in a cleaning process such as washing. An impurity can also be understood as meaning such dissolved textile constituents as textile dyestuffs.

Under a textile in particular garments, curtains or bedding are understood. Garments and bedding include, for example, shirts, T-shirts, dresses, jackets, sweaters, pants, blankets, covers, and covers. The textiles may comprise various materials, for example natural fibers, chemical fibers or other materials such as leather.

The intensity information obtained according to the first aspect is representative of a spectral image resulting from contamination of a textile. The obtained intensity information need only be representative of at least part of the spectral image. In particular, the intensity information contains at least one value representative of the intensity of the spectral image within an energy range. With a value representative of the intensity of the spectral image within an energy range, for example, a monochrome or intensity integrated over an energy range can be detected. With a plurality of values, each representative of the intensity in different energy ranges, a spectral intensity distribution with energy resolution can be obtained. Such intensity information is accessible to a physical measurement.

Since the composition of the impurity affects the resulting spectral image, the intensity information obtained is also determined by the composition of the impurity. Thus, from the intensity information an output variable can be determined which depends on the composition of the impurity.

In particular, the at least one output may be one or more values representative of the chemical composition of the contaminant, the degree of contamination, and / or the spatial distribution of the contaminant. For example, the at least one output quantity comprises at least one value for the occurrence and / or the concentration of a chemical element or a chemical compound, the amount of contamination or the surface area of the contaminant. The at least one output variable can also be determined by a classification of the intensity information.

By issuing or triggering the output of at least one output variable, it is thus possible to provide the user with information about the composition of the contamination of the textile, which advantageously contributes to the identification of the contaminant. For example, the user may be provided with information about the chemical composition or about the occurrence of individual elements or compounds. In particular, by classification, with the at least one output, further information can be provided, for example, whether the contaminant contains levels of certain organic or inorganic components, such as dyes or lipids, and, optionally, which origin has the contaminant. For example, the at least one output may provide the user with information about a possible hygienic concern of the contaminant.

The method according to the first aspect or the device according to the second aspect thus makes it possible, in particular, to facilitate the user in identifying the composition or the origin of the contamination. If, for example, an impurity can not be identified with the eye, at least one output quantity which is dependent on the composition of the impurity can be determined via the method or the device. The output may, for example, allow the user to distinguish between different compositions of impurities that provide similar appearances to the eye.

It is conceivable that contaminants from the material of the textile to be dissolved substances, such as unfixed textile dyes on the at least one output variable. However, in one embodiment of the method according to the first aspect, the intensity information is at least partially representative of a spectral image resulting from an illuminated surface of the contaminant on a textile.

When the contaminant is illuminated, such as with radiation such as electromagnetic radiation, a spectral image results from reflection and emission to and from the surface of the contaminant. The illumination of the impurity can be effected in particular by means of the radiation spectrum of the sun comprising natural light or by means of an artificial radiation spectrum, for example the spectrum of a thermal or non-thermal radiator such as incandescent lamps, fluorescent tubes or LEDs. Also conceivable is an excitation via monochrome radiation.

Usually, the contamination should be removed by a cleaning process again. In one embodiment of the method according to the first aspect, the at least one output variable comprises at least one parameter of a cleaning strategy of the textile. The user can thus be given a recommendation about an optimum cleaning process with regard to the impurity present.

For an impurity, it is possible to draw conclusions about parameters of the purification strategy via the intensity information dependent on the composition of the impurity. In this case, the at least one parameter of the cleaning strategy can be determined indirectly from a further output variable; for example, an initial variable representative of the composition of the impurity is first determined and determining at least one parameter of the cleaning strategy from this output representative of the composition of the impurity. Also, at least one parameter can be determined directly from the intensity information, for example by means of a classification via stored intensity information and cleaning strategies assigned to the classes.

In particular, if a user of the textile can not identify the contaminant with the eye and it is therefore unclear how to remove the contaminant again, the method according to the first aspect or the device according to the second aspect can provide a recommendation for an optimal purification strategy to be provided. For example, it may be unclear to the user whether an impurity contains lipids or certain dyes that can not be reliably removed through commonly used cleaning strategies. On the basis of the cleaning strategy determined by the composition of the impurity, a recommendation for a cleaning strategy adapted to the individual composition can be made with the identification of corresponding ingredients of the impurity. As a result, the removal of the contaminant can be greatly simplified and made much more reliable.

It is also conceivable that as a contaminant from the material of the textile solutes, for example, unfixed textile dyes are detected on the at least one output variable. This happens in particular during the execution of a cleaning strategy, so that the user is thus given a conclusion on the effectiveness of the cleaning strategy. For example, the user can recognize whether an excessive amount of textile dyes dissolves from the material of the textile, whereby the user gets an idea to change the cleaning strategy and, if necessary, to make it more gentle with regard to the textile dye. Likewise, a decolorization of a textile can be intended and a conclusion about the degree of decolorization can be drawn on the at least one initial size by a cleaning strategy.

In particular, the at least one parameter of the cleaning strategy represents a type of detergent, a quantity of detergent, a cleaning temperature, a type of cleaning device, settings of a cleaning device, or combinations thereof.

Detergents are used for example in the household for the cleaning of different objects. For example, for washing machines, a cleaning agent, for example a detergent, is used for cleaning textiles. However, a cleaning agent should also be understood as meaning also cleaning auxiliaries or cleaning auxiliaries, for example a bleaching additive, a fabric softener or laundry starch. A cleaning agent can also be a liquid, a dispersed system, for example a gel or foam, or a solid, in particular a tab, powder or granules.

A cleaning agent may, for example, one or more components from the group of components comprising surfactants, alkalis, builders, grayness inhibitors, optical brighteners, enzymes, bleach, soil release polymers, fillers, plasticizers, perfumes, dyes, conditioners, acids, starch, isomalt , Sugar, cellulose, cellulose derivatives, carboxymethylcellulose, polyetherimide, silicone derivatives and / or polymethylimines.

A cleaning agent may further comprise one or more other ingredients. These ingredients include, but are not limited to, the group consisting of bleach activators, chelants, builders, electrolytes, non-aqueous solvents, pH adjusters, perfume carriers, fluorescers, hydrotropes, silicone oils, bentonites, anti-redeposition agents, anti-shrinkage agents, crease inhibitors, color transfer inhibitors, antimicrobial agents , Germicides, fungicides, antioxidants, preservatives, corrosion inhibitors, antistatic agents, bittering agents, ironing auxiliaries, repellents or impregnating agents, swelling or slipping agents and / or UV absorbers.

The at least one parameter of the cleaning strategy may represent the type of cleaning agent and thus be indicative of the composition of the cleaning agent. For example, if some level of colorant is included in the contaminant composition, the use of certain bleach additives may be recommended to the user. For example, if certain levels of lipids are present in the contaminant composition, the use of specific surfactants and / or lipases may be included in the recommended purification strategy.

The at least one parameter may represent the amount of detergent and in particular indicate an absolute amount of the detergent. Likewise, a relative amount of the cleaning agent can be displayed by means of the at least one parameter, for example based on the mass of textiles to be cleaned or a liquor ratio or amount of detergent based on a water volume to be used for cleaning. About the intensity information dependent on the composition of the contaminant Thus, a type of cleaning agent and / or a quantity of cleaning agent can be determined which ensures optimum removal of the contaminant.

With a parameter representative of the cleaning temperature, an optimum contaminant removal temperature for the particular composition of the contaminant may be given, especially in combination with a detergent type. On the one hand, the cleaning temperature may be high enough to ensure the complete removal of the impurity and, on the other hand, be kept low in view of the energy consumption and the protection of the textile.

A cleaning device is understood in particular to mean a washing machine, in particular an automatic household washing machine.

The waxing machine can be in various forms. A distinction is made between top loaders, where the hatch is located at the top, and front loaders, where a porthole serves as a hatch on the front. The advantage of the top loader is that the sealing of the door can be made easier and the drum can be supported on two sides by rolling bearings. A top loader can also be set up in very confined spaces where there is not enough space to open a front door. A front loader, however, offers space on the top for z. As a tumble dryer or for a work surface and is therefore occasionally installed in a kitchenette instead of a base. Top loaders are disadvantageous because they require more water volume for laundry cleaning as a front loader.

The American top loaders always have a rotating drum and mixing elements (agitator or discs), whereby the mixing elements can move with or against the drum rotation direction. The machines may include liquor recirculation and lye sprayers. Basically, a distinction is made between deep fill and HE toploader. Deep Fill Toploaders work with given water levels, so they have no load detection. HE machines usually have a load detection and then control the water volumes. In general, the machines have no built-in heating, but are connected to hot water.

Within the scope of the present invention, a parameter of the cleaning strategy may indicate a particular type of such cleaning device. It is also conceivable that the parameter at least partially pretends to be performed cleaning strategies, such as a hand wash. The at least one parameter may also include settings of a cleaning device, for example a program of an automatic household washing machine or a sequence of such programs.

As a result, with the at least one parameter of the cleaning strategy, the removal of the contaminant can be greatly facilitated for the user. In particular, in the case of impurities which can not be identified with the eye, an optimum cleaning strategy with regard to cleaning, but also to energy consumption and the protection of the material of the textile can be recommended. For example, the recommendation of the cleaning agent type and the settings of the cleaning device includes whether the intensity information indicates a certain content of lipids in the contaminant and therefore corresponding fat-dissolving components should be included in the cleaning agent or if certain dyes are present in the contaminant via a specific type of cleaning agent Settings of the cleaning device can be specifically attacked.

The at least one parameter may include a recommendation for pretreatment of the textile. Such pretreatment includes, for example, a manual or automatic application of a cleaning agent to the contaminant, in particular with a predetermined exposure time, whose duration can also serve as a parameter of the cleaning strategy. Subsequently, the textile can be cleaned in a cleaning device, for example an automatic household washing machine.

In particular, the method further comprises carrying out the cleaning strategy via a cleaning device.

In this case, the intensity information can be obtained before, during and / or after carrying out the cleaning strategy of the textile. With a pre-cleaning received, for example, prior to a cleaning treatment to be performed, a recommendation about the cleaning strategy to be used may be given to the user.

When obtaining the intensity information during the cleaning, the cleaning can be carried out dynamically, for example, ie a cleaning device can adapt to the just determined at least one initial value during the cleaning, in particular by the output variable being determined continuously. For example, a washing machine during the washing program, for example, the temperature or the amount of detergent corresponding to the determined output quantity. In particular, the intensity information of textile components dissolved from the textile such as textile dyes can be obtained here.

By obtaining the intensity information after cleaning, for example, the result or the effectiveness of a cleaning strategy can be recorded and checked.

The at least one output variable can be output to the user on a display or a corresponding output can be triggered. The user can then perform the cleaning strategy. Alternatively or additionally, in one embodiment of the method, the at least one output variable can be output to a cleaning device. For example, the at least one output variable can represent at least one parameter of a cleaning strategy which is output to the cleaning device, so that the cleaning device, for example, assumes the corresponding cleaning strategy as default and the user merely has to start the cleaning device.

It is also conceivable that the cleaning device automatically performs the cleaning strategy with the output of the at least one output variable. For example, the cleaning device may include a detergent dosing device to automatically provide the detergent type and detergent amount according to the recommended cleaning strategy. As a result, the usability of the method is improved.

In one embodiment of the method, the determination of the at least one output variable comprises a comparison of the intensity information with comparison values. Corresponding comparison values can be stored in a database. The intensity information may be subjected to a classification, wherein the at least one output is obtained or influenced by a result of the classification. A classification can for example be based on a comparison of the intensity information with a database of already known intensity information.

The comparative values or a database provided for this purpose may in particular contain intensity information of typical impurities occurring in the fields of application of the textiles. For example, in the household sector, intensity information can be accessed from typical contaminants such as various food residues, traces of beverages, grass or colors. The comparison values may comprise at least one value for the intensity in a certain energy range of a spectral image and / or continuous values for at least one energy interval of a spectral image. Furthermore, specific output variables can be assigned to the corresponding comparison values, for example at least one parameter of a cleaning strategy for removing the contamination.

In one embodiment of the method, the method further comprises determining the intensity information via an optical sensor. An optical sensor here means sensors which can determine an intensity of incident radiation, in particular electromagnetic radiation in the visible range and beyond. In particular, the optical sensor is configured to provide an energy resolution and / or spatial resolution of the intensity information. The optical sensor may comprise an image sensor, in particular a digital image sensor. To determine the intensity of the radiation, in particular at least one semiconductor element, diodes, CCD elements, for example a Bayer sensor, or CMOS elements, for example a sensor of the Foveon X3 type, can be used. The optical sensor may include optical filters and in particular a spectrometer. Also conceivable is the use of monochrome sensors without color resolution. Similarly, sensors can be used which are limited to certain wavelength ranges. By way of example, the optical sensor can be based on at least one photodiode and / or at least one LED element. Individual elements or arrays of elements, such as photodiodes or photosensitive devices such as LEDs, may be used. It may be advantageous to optimize the size of the individual sensor elements, for example the individual photodiodes, in terms of dynamics, resolution and / or sensitivity.

Furthermore, a radiation source, for example a light source such as a lighting device and / or a flashlight, can be provided, which is tuned in particular to the optical sensor and serves to illuminate the surface of the contaminant. Such a radiation source can be combined with the optical sensor in a structural unit.

If the method comprises subjecting the impurity to radiation, for example illuminating the impurity, a determination of the intensity information can be based on a defined excitation. For example, the impurity is exposed to radiation via a light source, the radiation used having a certain intensity and / or specific spectral distribution. By illuminating at least a part of the Contamination is achieved to ensure adequate lighting regardless of external conditions. This makes it possible to obtain the intensity information even in poor external conditions, such as low daylight in a dark room, or in any case to improve the quality of the determination.

A lighting is understood to mean that a light is generated by means of an artificial light source, so that in particular a (better) visualization of the contamination of the textile can take place. The illumination is effected in particular by radiation which lies at least partially in the visible range of the electromagnetic spectrum, for example with a radiation whose wavelength covers at least part of the wavelength range from 380 nm to 780 nm.

For example, LEDs are used for lighting. LEDs can cover a well-defined frequency range. LEDs with different color temperatures can be used individually or in combination, for example with red, green, blue and / or white LEDs.

The wavelength range can be further tuned specifically to the determination of the intensity information. For example, an optical sensor comprising a CMOS element having a sensitivity maximum in the near infrared region (NIR) is used. In this case, illumination with radiation in the NIR range is advantageous. The NIR range is understood as meaning a wavelength range of the electromagnetic spectrum of at least 650 nm, in particular up to a maximum of 2000 nm, in particular of at least 750 nm to a maximum of 1400 nm.

The duration of the excitation can be varied. In particular, the time duration may be relatively short, i. below one second using, for example, a flash. The duration of the excitation can be further less than 0.1 seconds, in particular less than 0.01 seconds. A short excitation or a flashlight can be used alone or combined with another illumination means. For example, a flashlight is used in combination with a continuously operating illumination means, wherein flashlight and illumination means are combined in a combined illumination unit. It is also possible to temporally modulate the light intensity.

Illumination means and optical sensor can also at least partially use the same elements, which allows significant cost advantages in the manufacture of the device, especially when using LEDs. If illumination means and optical sensor are given over at least partially identical elements, also a coordination of excitation and detection to certain wavelength ranges is facilitated. For example, LEDs can both emit and detect light. The contaminant may be placed between a lighting means comprising at least one transmitter LED and an optical sensor comprising at least one receiver LED. If transmitter LED and receiver LED are identical, transmission or attenuation of the radiation by the contaminant can be determined in a particularly simple and direct manner. Likewise, an arrangement of transmitter LED and receiver LED can be provided in a reflection or emission measurement.

In a further embodiment of the method, the method further comprises determining an impurity profile based at least in part on the output variable, in particular based on a plurality of determined output variables, wherein the determination of the at least one output variable is based at least partially on the impurity profile.

An impurity profile which is adapted to the particular composition of the impurity can thus be created via the at least one output variable. In particular, a plurality of output variables in the sense of a history of determined output variables can be included in an impurity profile so that future investigations can be based at least partially on the impurity profile. Thus, the determination of the at least one output variable can be made adaptive and more precisely adapted to the respective requirements via the contamination profile. The determination of the output variable can be carried out more precisely, in particular with regard to the dependence on the chemical composition of the impurity.

For example, an impurity profile can be established with respect to common contaminant compositions. For the output of at least one parameter of a cleaning strategy, it is also possible in particular to take into account the type of cleaning agent and the type of cleaning device in an impurity profile.

It is also conceivable that information about the effectiveness of the cleaning strategy is included in the impurity profile. For example, after a cleaning process, an intensity information can again be determined in order to determine the effectiveness of the cleaning strategy. This allows further optimization of future cleaning strategies via the impurity profile.

Likewise, after the cleaning, the user can make an evaluation of the at least one initial variable, for example an evaluation of the effectiveness of the cleaning strategy, which enters into the contamination profile. Thus, a personal adaptation of the determination of the output variable, in particular the cleaning strategy can be achieved.

It is likewise possible for the repeated acquisition and / or determination of the intensity information or of the at least one output variable to be used for machine learning. For example, the contaminant profile may be determined, at least in part, based on machine learning. Machine learning is understood to mean that an artificial system (for example, a device according to the second aspect or a system according to the third aspect) learns from examples and can generalize them after completion of the learning phase. That is, the examples are not simply learned by heart, but patterns and laws are identified in the learning data. For this purpose, different approaches can be followed. For example, supervised learning, partially supervised learning, unsupervised learning, empowered learning, and / or active learning can be used. Monitored learning can be done, for example, by means of an artificial neural network (such as a recurrent neural network) or by means of a support vector machine. Unmonitored learning can also take place, for example, by means of an artificial neural network (for example an auto-encoder). For example, the repeatedly obtained and / or determined intensity information or the at least one output variable then serve as the learning data.

Alternatively or additionally, it is conceivable that the obtained and / or ascertained intensity information or at least one output variable are associated with further information, for example with the number and / or the respective age of the persons of a household for establishing a personal contamination profile or, for example, with the season Creation of a seasonal pollution profile.

By these measures, the reliability of the determination of the at least one output variable and in particular of the cleaning strategy can be increased.

In a further embodiment of the method, at least one of the devices for carrying out the method is a mobile device. In particular, a communication can be carried out via a communication system between a mobile device, for example a smartphone, laptop, tablet, wearable or a camera, and at least one further device, for example a cleaning device and / or an optical sensor. According to one embodiment, the device according to the second aspect comprises a communication interface. For example, the communication interface is set up for wired or wireless communication. For example, the communication interface is a network interface. The communication interface is preferably configured to communicate with a communication system. Examples of a communication system are a local area network (LAN), a wide area network (WAN), a wireless network (e.g. IEEE 802.11 Standard , the Bluetooth (LE) standard and / or the NFC standard), a wired network, a cellular network, a telephone network and / or the Internet. A communication system may include communication with an external computer, for example via an internet connection.

In particular, an optical sensor for determining the intensity information is provided and integrated in a mobile device. This facilitates the determination of the intensity information for the user. It is also conceivable that an optical sensor is provided in a cleaning device and / or a mobile device is used to display the at least one output variable.

In a further embodiment of the method, the intensity information is representative of a hyperspectral image. An intensity information representative of a hyperspectral image is understood in particular to mean that the intensity information has as intensity distribution intensity values in a plurality of channels for different energy intervals, at least two of the energy intervals joining or overlapping one another. In particular, a hyperspectral image of a multispectral image may be delineated in that although a multispectral image also has intensity values in multiple channels for different energy intervals, the energy intervals are spaced apart, i. in a multispectral image, intensities of individual, distinct energies are represented. In contrast, in a hyperspectral image, in particular, "adjacent" intensity values are reproduced by connecting or overlapping at least two of the energy intervals. A hyperspectral image can thus at least partially reflect a continuous spectrum. An intensity information representative of a hyperspectral image has, in particular, the advantage that it is also possible to detect information that is invisible to the eye and that is indicative of the composition of the contaminant.

The intensity information may in this case comprise values in at least 20 channels, each channel representing an intensity for one energy interval. If values of the intensity information are provided in at least 20 channels, the resolution of the spectral image and thus also the accuracy of the determination of the output variable can be improved. In particular, the intensity information comprises at least 20 channels to 250 channels, thus achieving a more accurate dependence of the output on the composition of the contaminant. With at least 20 channels, in an intensity information representative of a spectral image, in particular for a hyperspectral image, energy intervals can be represented which can not be resolved by the human eye, which has only three channels in the visible region.

If, according to a further embodiment of the method, the intensity information is representative of spectral components of a spectral image, with at least one of the spectral components being outside the visible energy range, the composition of the contamination can be incorporated into the determination of the output variable with increased accuracy. By taking into account non-visible spectral components, it is also possible to identify various impurity compositions, although the impurities are indistinguishable to the eye.

In particular, the intensity information is representative of spectral components of a spectral image in the ultraviolet energy range. Likewise, spectral components in the infrared energy range can be taken into account. The intensity information is in particular representative of spectral components of a spectral image from the infrared energy range to the ultraviolet energy range, for example at least for spectral components of a spectral image with wavelengths from 1400 nm to 315 nm, preferably for wavelengths from 3000 nm to 280 nm, more preferably for wavelengths of 5000 nm to 200 nm.

The intensity information may be representative of a single pixel of the spectral image. In particular, however, in one embodiment of the method, the intensity information is representative of spatially resolved portions of a spectral image. A spatially resolved intensity pattern comprises the information about the intensity of the radiation at at least two positions in space. The spatially resolved intensity pattern can for example be measured by a movable optical sensor, wherein the position of the optical sensor is varied and an intensity is measured at each position. However, it is preferred to use an optical sensor with a plurality of spatially-spaced sensor elements, for example pixels, wherein spatially resolved intensity information can be obtained via the intensity information in the various pixels.

Conceivable here is a one-dimensional, for example, linear resolution. In one embodiment of the method, however, a two-dimensional spatial resolution is undertaken. In particular, the spatial resolution is carried out via a planar arrangement of sensor elements or at least one sensor field, for example pixels.

In one refinement of the method or the device, the determination of the intensity information is performed in a representative manner for spatially resolved portions of a spectral image via an integrated camera of a mobile device, in particular via a hyperspectral camera, which is set up to determine an intensity information representative of a hyperspectral image ,

In an alternative or additional embodiment, a determination of the intensity information can be made via a sensor, wherein the sensor is arranged on a cleaning device. For example, the sensor is at least partially disposed on the outer housing of a cleaning device and outside of a cleaning container in which a cleaning can be performed. The user therefore always has access to the sensor, even if the cleaning device is in operation or switched off. Thus, a method according to the first aspect can be made at any time. The sensor can be fixed to the cleaning device, for example via fastening means such as a screw connection and / or bonding. Likewise, the sensor can also be arranged freely positionable on the cleaning device via positioning means, for example via a magnetic holder.

Furthermore, the sensor can be arranged at least partially in the interior of the cleaning device, in particular in the region of a cleaning container of the cleaning device in which cleaning can be carried out. In particular, the sensor is arranged here at a position accessible to the user. The sensor can also be fixed to the cleaning device here, for example, be freely positionable via fastening means or positioning means. The sensor is arranged for example at an opening of the cleaning container, in particular on a door. In a washing machine, the sensor is arranged, for example, on the loading hatch of the laundry drum and / or on the seal of the hatch.

Likewise, the sensor can be freely movable in the interior of the cleaning container. In one embodiment, a determination device is provided, the determination device comprising at least one sensor element for determining the intensity information and optionally at least one illumination means, wherein the device is adapted to provide the intensity information during the execution of a cleaning strategy in a cleaning container of a cleaning device. For example, the determining device is adapted to be freely movably arranged in a washing drum of a washing machine during a washing process. The determining device may have a shape corresponding to the cleaning treatment and, for example, have a rounded, in particular spherical shape. The detection device may also have a corresponding density and mechanical resistance, so that a washing solution and also aggressive cleaning agents do not affect the function of the detection device. The determining device may thus provide intensity information of the contaminant during a cleaning operation to monitor the cleaning strategy. Determination of the intensity information can be provided both for an impurity on the surface of a textile and / or also comprise impurities such as dissolved textile constituents such as textile dyes, for example by an examination of the washing solution. A determination of the intensity information can take place here in transmission and / or reflection and emission.

In particular, at least one sensor, which is located at least partially outside the cleaning container, is combined with at least one sensor, which is located at least partially within the cleaning device or within the cleaning container and which in particular is freely movable. Several sensors of the same or different design can be provided. This improves the accuracy of the determination of the at least one output variable, since the sensors with different positions can provide corresponding intensity information. In particular, at least one of the sensors operates continuously at least at times, so that intensity information is obtained at different points in time and in particular continuously during a cleaning treatment.

Likewise, at least one sensor can be arranged on a part of a detergent packaging and be integrated, for example, in a closure cap or arranged on a closure flap, in particular by being plugged on. Thus, the sensor is free and independent of a cleaning device movable and can be used by the user in a simple way to contamination of a textile. Likewise, the sensor may then be used in conjunction with a variety of different cleaning devices.

According to one embodiment of the method according to the first aspect, the method further comprises subjecting the intensity information to a processing algorithm.

In this way, on the one hand, a better distinction can be made between different compositions of the contamination of the textile. For example, the intensity information is subjected to a conversion algorithm. For example, a conversion of the determined intensity information (for example, one or more image information) from a first presentation space into a second presentation space, for example, from a first color space to a second color space. Examples of color spaces are, for example, an RGB color space or a L · a · b · color space. By way of example, the image information determined is converted from an RGB color space into a L · a · b · color space.

Under an RGB color space, an additive color space, the color perceptions by the additive mixing of three basic colors (red, green and blue) is to understand. An example of a L * a * b * color space is, for example, the CIELAB color space used in the EN ISO 11664-4 "Colorimetry - Part 4: CIE 1976 L · a · b · Color space" (CIE 1976 color space) is standardized. It is advantageous here that colors are defined independently of the type of their generation or reproduction technique, as they are perceived by a normal observer in a standard lighting condition (device independence and perceptuality).

In order to determine the at least one output variable, in particular an evaluation of color differences between pixels of an image information can be undertaken. For this purpose, in particular methods based on the color difference or the color difference ΔE can be used. In particular, the calculation of ΔE is made in the CIELAB color space. Likewise, the brightness in the intensity information can be used to determine the at least one output variable.

According to the second aspect of the invention, an alternative device is described, comprising at least one processor and at least one memory with computer program code, wherein the at least one memory and the computer program code are adapted to execute with the at least one processor at least one method according to the first aspect, and / or to control. Under a processor to the For example, a control unit, a microprocessor, a microcontroller such as a microcontroller, a digital signal processor (DSP), an application specific integrated circuit (ASIC) or a Field Programmable Gate Arrays (FPGA) are understood.

For example, an exemplary apparatus further includes means for storing information such as program memory and / or main memory. For example, an exemplary inventive device further includes means for receiving and / or transmitting information over a network, such as a network interface. For example, exemplary devices of the invention are interconnected and / or connectable via one or more networks.

An example device according to the second aspect is or includes a computing device that is software and / or hardware configured to perform the respective steps of an example method according to the second aspect. Examples of a data processing system include a computer, a desktop computer, a server, a thin client and / or a portable computer (mobile device), such as a laptop computer, a tablet computer, a wearable, a personal digital assistant or a smartphone ,

Individual method steps of the method according to the first aspect (for example, obtaining or determining intensity information, determining the at least one output variable and / or determining an impurity profile) can be carried out here with a sensor device which also has at least one sensor element. Likewise, individual method steps (for example, obtaining or determining intensity information, determining the at least one output variable and / or determining an impurity profile), which for example do not necessarily have to be performed with the sensor device, can be performed by a further device, which in particular has a Communication system with the device, which has at least one sensor element in communication.

Further devices can be provided, for example a server and / or for example a part or a component of a so-called computer cloud, which provides data processing resources dynamically for different users in a communication system. A computer cloud is understood in particular to mean a data processing infrastructure as defined by the National Institute for Standards and Technology (NIST) for the English term "cloud computing". An example of a computer cloud is a Microsoft Windows Azure Platform.

According to the second aspect of the invention, there is also described a computer program comprising program instructions that cause a processor to execute and / or control a method according to the first aspect when the computer program is run on the processor. An exemplary program according to the invention may be stored in or on a computer-readable storage medium containing one or more programs.

According to the second aspect of the invention, there is also described a computer-readable storage medium containing a computer program according to the second aspect. A computer-readable storage medium may e.g. be formed as a magnetic, electrical, electro-magnetic, optical and / or different storage medium. Such a computer-readable storage medium is preferably representational (ie "touchable"), for example, it is designed as a data carrier device. Such a data carrier device is for example portable or permanently installed in a device. Examples of such a data carrier device are volatile or non-volatile random access memory (RAM) such as e.g. NOR flash memory or with sequential access such as NAND flash memory and / or read only access (ROM) memory or read / write access. For example, computer readable is to be understood as meaning that the storage medium can be read (and / or written) by a computer or a data processing system, for example by a processor.

According to a third aspect of the invention, there is also described a system comprising a plurality of devices, in particular a mobile device and a cleaning device, which together perform a method according to the first aspect.

An exemplary system according to the third aspect comprises an exemplary cleaning device and additionally another device, for example a mobile device or a server for carrying out an exemplary method according to the first aspect.

The exemplary embodiments of the present invention described above in this description are also to be understood as being disclosed in all combinations with one another. In particular, exemplary embodiments are to be understood in terms of the different aspects disclosed.

In particular, the preceding or following description of method steps according to preferred embodiments of a method also discloses corresponding means for carrying out the method steps by preferred embodiments of a device. Likewise, by the disclosure of means of a device for carrying out a method step, the corresponding method step should also be disclosed.

Further advantageous exemplary embodiments of the invention can be found in the following detailed description of some exemplary embodiments of the present invention, in particular in conjunction with the figures. However, the figures should only serve the purpose of clarification, but not to determine the scope of the invention. The figures are not to scale and are merely intended to exemplify the general concept of the present invention. In particular, features included in the figures should by no means be considered as a necessary part of the present invention.

Brief description of the figures

In the drawing shows

1 a flowchart of an embodiment of a method;

2a C is a schematic representation of a spectral image or representative of this intensity information;

3 a schematic representation of an embodiment of a device;

4 a block diagram of an embodiment of a device; and

5 different embodiments of a storage medium.

Detailed Description of Some Exemplary Embodiments of the Invention

1 shows a flowchart 100 an embodiment of a method according to the first aspect, which by a device, for example, one of the devices 3 and 4 is carried out.

In action 102 For example, intensity information is determined in the form of an intensity distribution via an optical sensor, wherein the intensity distribution is representative of a spectral image resulting from an illuminated surface of an impurity on a textile. In particular, the intensity distribution is representative of a hyperspectral image and includes intensity values in multiple channels for different energy intervals, with at least two of the energy intervals joining or overlapping one another.

This intensity distribution is in action 104 receive. Since the intensity distribution depends on the chemical composition of the contamination of the textile, in action 106 at least one of the composition of the impurity dependent output variable from the intensity distribution can be determined. Here, based on the chemical composition of the contaminant, at least one parameter of a cleaning strategy of the textile is determined, the cleaning strategy being a recommendation for an optimal cleaning of the fabric from the contaminant.

Additionally, optional with action 108 a recommendation on pretreatment of the textile takes place. For certain contaminant compositions, a corresponding pre-treatment may be needed, for example, by another device in action 110 is carried out.

In action 112 For example, an output of the at least one output variable is caused, for example an output on a display element, whereby the user is in particular informed about the composition of the impurity and at least one parameter of the cleaning strategy. The user may perform cleaning of the fabric based on the displayed information or recommendation.

In addition or alternatively, in action 114 an output of the at least one output variable, in particular of the at least one parameter of the cleaning strategy, to a cleaning device. The output parameters of the cleaning strategy are in action 116 used to carry out a cleaning by means of the cleaning device.

In addition, in action 118 an impurity profile which is based at least in part on the output quantity. Thus, the determination of the at least one output variable can be made adaptive and more precisely adapted to the respective requirements via the contamination profile.

In 2a is a schematic representation of a spectral image 200 a textile 202 with a pollution 204 shown. The spectral image 200 results in particular from the illumination of the surface of the contamination 204 with radiation, in particular by reflection and emission from the surface of the contaminant 204 Radiation goes out, which can be measured physically, in particular via an optical sensor. An intensity distribution which is representative of the spatial resolution of the spectral image 200 is, in particular, via a plurality of sensor elements, such as pixels, are held, the pixels are arranged two-dimensionally on a surface.

In the 2 B and 2c are in schematic views intensity distributions 210 . 212 which is representative of spectral components of the spectral image 200 are. For a limited spatial portion of the spectral image 200 , represented by the arrow 206 , the spectrum results 208 , Will the spectrum 208 An intensity distribution can be measured via an optical sensor element, for example a pixel of an optical sensor 210 are obtained, the intensity distribution 210 for that from the lit surface of pollution 204 on the textile 202 resulting spectral image 200 is representative. The intensity distribution 210 is in 2 B shown as a patterned area.

The intensity distribution 210 in 2 B is representative of a hyperspectral image, the intensity distribution 210 Values in at least 20 Channels up 250 Channels, each channel representing an intensity for one energy interval. The intensity distribution 210 has intensity values in channels for energy intervals, with the energy intervals joining or overlapping one another. Thus, the intensity distribution 210 as in 2 B shown representative of an at least partially continuous spectrum.

In addition, the intensity distribution 210 representative of spectral components of the spectral image 208 , which is outside the visible energy range. The visible energy range is in 2 B characterized by the lowest visible energy ε ₁ and the highest visible energy ε ₂ . The intensity distribution 210 is representative of spectral components of the infrared energy range (energy ε less than ε ₁ ) up to the ultraviolet energy range (energy ε greater than ε ₂ ). This has the particular advantage that information which is not visible to the eye, which is indicative of the composition of the contaminant, is also available via the intensity distribution 210 can be held.

In 2c is an intensity distribution 212 Representative of a multispectral image shown in a schematic view. The intensity distribution 212 includes like the intensity distribution 210 also intensity values in several channels for different energy intervals. However, the energy intervals are spaced apart and intensities of individual, separated energies or lines are reproduced. Thus, the intensity distribution 212 especially not representative of a continuous spectrum. Also the intensity distribution 212 is representative of spectral components from the infrared energy range to the ultraviolet energy range, so that information that is not visible to the eye can also be detected here.

3 shows an embodiment of a device 300 according to the second aspect or a system according to the third aspect. The device 300 is set up for this purpose or comprises corresponding means for carrying out and / or controlling a method according to the first aspect.

In particular, the device allows 300 the identification of a composition of an impurity 302 on a textile 304 and / or gives a recommendation for a cleaning strategy to remove the contaminant 302 from the textile 304 ,

With a mobile device, here a smartphone 306 First, an intensity distribution becomes representative of one of the illuminated surface of the contaminant 302 resulting spectral image determined. For this purpose, in particular an optical sensor 308 used, which may include, for example, a hyperspectral camera. In addition, there is a radiation source 310 provided which illuminate the surface of the contaminant 302 serves. The smartphone 306 also has a display element 312 ,

The determined intensity distribution is by a communication system 314 receive. In connection with the communication system 314 is an investigative device 316 , which is adapted from the intensity distribution of the composition of the impurity 302 determine dependent output variables.

The determination of the output variables here comprises a comparison of the intensity distribution with comparison values. The comparison values are in a database 318 deposited, which also in communication with the communication system 314 stands. The comparison values of the database 318 contain in particular intensity distributions of typical household contaminants. Next contains the database 318 data associated with the comparison values in the form of a chemical composition and parameters with regard to an optimum cleaning strategy to be recommended for the corresponding composition.

The output variables include parameters of such a cleaning strategy, the parameters being a type of detergent, a quantity of detergent, a cleaning temperature, a type of cleaning device and settings of a cleaning device 320 specify. These outputs are displayed on the display 312 of the smartphone 306 displayed and thus made available to the user. The user is thus given a recommendation about one for the specific contamination 302 optimal cleaning strategy provided.

The cleaning device 320 is also in communication with the communication system 314 , whereby the output quantities to the cleaning device 320 be issued. The cleaning device 320 has a display element 322 which in particular can display the output variables. Next, the cleaning device 320 a dosing device 324 for cleaning up. The dosing device 324 In this case, it is possible to provide a cleaning agent in accordance with the parameters of the cleaning strategy with respect to the type of cleaning agent and / or the amount of cleaning agent, or to check whether the cleaning agent has entered the dosing device in accordance with the recommended cleaning strategy 324 was filled.

Next, the cleaning device 320 a control 326 on which the control of the cleaning device 320 allowed by a user. The cleaning device 320 Adopts the parameters of the cleaning strategy as default. The user then has the option of following the cleaning strategy recommendation and the cleaning device 320 just over the control 326 to start or your own, manual setting of the cleaning device 320 via the operating element 326 perform. The cleaning is done in a cleaning tank 328 , here a laundry drum, performed.

Next is in 3 a detection device 330 shown. The investigative device 330 includes sensor elements 332 and optionally at least one illumination means (not shown). The detecting device has a spherical shape and is adapted to perform cleaning in the cleaning container 328 to be arranged. The investigative device 330 is free to move and against the action of the washing solution in the cleaning tank 328 resistant. The investigative device 330 Thus, during a cleaning process intensity distributions of the impurity 302 provide to monitor the cleaning strategy. The investigative device 330 can also determine intensity distributions of soluble, unfixed textile dyes in the wash solution. This can be a detachment of the corresponding textile dyes from the textile 304 be monitored.

4 shows a block diagram of an embodiment of a device 400 which can in particular carry out an exemplary method according to the first aspect. The device 400 is for example a device according to the second or a system according to the third aspect.

The device 400 may be, for example, a computer, a desktop computer, a server, a thin client or a portable computer (mobile device), such as a laptop computer, a tablet computer, a personal digital assistant (PDA) or a smartphone. For example, the device may perform the function of a server or a client.

processor 410 the device 400 is particularly designed as a microprocessor, microcontroller, microcontroller, digital signal processor (DSP), application specific integrated circuit (ASIC) or Field Programmable Gate Array (FPGA).

processor 410 Executes program statements stored in program memory 412 stored, and stores, for example, intermediate results or the like in working or main memory 411 , For example, program memory 412 a non-volatile memory such as a flash memory, a magnetic memory, an EEPROM memory (electrically erasable programmable read only memory) and / or an optical memory. main memory 411 is, for example, a volatile or nonvolatile memory, in particular a random access memory (RAM) such as a static RAM (SRAM), a dynamic RAM (DRAM), a ferroelectric RAM (FeRAM) and / or or a magnetic RAM (MRAM).

program memory 412 is preferably a local with the device 400 firmly connected volume. With the device 400 hard-attached data carriers are, for example, hard disks inserted in the device 400 are installed. Alternatively, the data carrier, for example, a with the device 400 be separable connectable disk such as a memory stick, a removable disk, a portable hard disk, a CD, a DVD and / or a floppy disk.

program memory 412 contains, for example, the operating system of the device 400 That when starting the device 400 at least partially in main memory 411 loaded and from the processor 410 is performed. In particular, when starting device 400 at least part of the core of the operating system into the main memory 411 loaded and by processor 410 executed. The operating system of device 400 is for example a Windows, UNIX, Linux, Android, Apple iOS and / or MAC operating system.

The operating system in particular allows the use of the device 400 for data processing. For example, it manages resources such as main memory 411 and program memory 412 , Network interface 413 , Input and output device 414 , Among other things, through programming interfaces provides other functions to other programs and controls the execution of programs.

processor 410 controls the communication interface 413 which can be, for example, a network interface and can be designed as a network card, network module and / or modem. The communication interface 413 is particularly adapted to a connection of the device 400 with other devices, in particular via a (wireless) communication system, such as a network to produce and communicate with them. The communication interface 413 For example, it can receive data (via the communication system) and to the processor 410 forward and / or data from processor 410 receive and send (via the communication system). Examples of a communication system are a local area network (LAN), a wide area network (WAN), a wireless network (e.g. IEEE 802.11 Standard , the Bluetooth (LE) standard and / or the NFC standard), a wired network, a cellular network, a telephone network and / or the Internet.

Furthermore, processor 410 at least one input / output device 414 Taxes. Input / output device 414 is for example a keyboard, a mouse, a display unit, a microphone, a touch-sensitive display unit, a speaker, a reader, a drive and / or a camera. Input / output device 414 For example, it can record input from a user and to the processor 410 forward and / or information to the user of processor 410 receive and spend.

5 finally shows different embodiments of storage media on which an embodiment of a computer program according to the invention can be stored. The storage medium may be, for example, a magnetic, electrical, optical and / or different storage medium. The storage medium may, for example, be part of a processor (eg the processor 410 of the 4 ), for example, a (non-volatile or volatile) program memory of the processor or a part thereof (such as program memory 412 in 4 ). Embodiments of a storage medium are a flash memory 510 , an SSD hard drive 511 , a magnetic disk 512 , a memory card 513 , a memory stick 514 (eg a USB stick), a CD-ROM or DVD 515 or a floppy disk 516 ,

The exemplary embodiments of the present invention described in this specification and the respective optional features and properties cited in this context should also be understood to be disclosed in all combinations with one another. In particular, the description of a feature encompassed by an exemplary embodiment is - unless explicitly explained to the contrary - not be understood in this case as meaning that the feature is essential or essential for the function of the exemplary embodiment. The sequence of the method steps described in this specification in the individual flowcharts is not mandatory, alternative sequences of the method steps are conceivable. The method steps can be implemented in various ways, so an implementation in software (by program instructions), hardware, or a combination of both to implement the method steps is conceivable.

Terms used in the claims, such as "comprising," "comprising," "including," "containing," and the like, do not exclude other elements or steps. The phrase "at least partially" includes both the "partial" and "full" cases. The phrase "and / or" is to be understood to mean that both the alternative and the combination should be disclosed, that is, "A and / or B" means "(A) or (B) or (A and B)". The use of the indefinite article does not exclude a majority. A single device can perform the functions of several units or devices mentioned in the claims. Reference signs indicated in the claims should not be regarded as limitations on the means and steps employed.

QUOTES INCLUDE IN THE DESCRIPTION

This list of the documents listed by the applicant has been generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Cited non-patent literature

• IEEE 802.11 standard [0059]
• EN ISO 11664-4 [0075]
• IEEE 802.11 standard [0123]

Claims (21)

Method performed by one or more devices, comprising: - obtaining intensity information ( 210 . 212 ) representative of one of a contaminant ( 204 . 302 ) of a textile ( 202 . 304 ) resulting spectral image ( 208 ); - determining at least one of the composition of the impurity ( 204 . 302 ) dependent output variable from the intensity information ( 210 . 212 ); and issuing or triggering outputting the at least one output variable. Method according to claim 1, wherein the intensity information ( 210 . 212 ) representative of one of an illuminated surface of the contaminant ( 204 . 302 ) on a textile ( 202 . 304 ) resulting spectral image ( 208 ).  The method of claim 1 or 2, wherein the at least one output variable comprises at least one parameter of a cleaning strategy of the textile. The method of claim 3, wherein the at least one parameter of the cleaning strategy is a cleaning agent type, a cleaning agent quantity, a cleaning temperature, a cleaning device type, settings of a cleaning device ( 320 ) or combinations thereof. A method according to claim 3 or 4, wherein the at least one parameter of the cleaning strategy is a recommendation for pretreatment of the contaminant ( 204 . 302 ). The method of claim 3, wherein the method further comprises: performing the purification strategy via a cleaning device; 320 ). Method according to one of claims 1 to 6, wherein the at least one output variable to a cleaning device ( 320 ) is output. Method according to one of claims 1 to 7, wherein the determination of the at least one output variable, a comparison of the intensity information ( 210 . 212 ) with comparative values. Method according to one of claims 1 to 8, the method further comprising: - determining the intensity information ( 210 . 212 ) via an optical sensor ( 308 ).  The method of any one of claims 1 to 9, the method further comprising: Determining an impurity profile based at least in part on the output variable, in particular based on a plurality of determined output variables, - wherein the determination of the at least one output variable based at least partially on the impurity profile. Method according to one of claims 1 to 10, wherein at least one of the devices for carrying out the method is a mobile device ( 306 ). Method according to one of claims 1 to 11, wherein the intensity information ( 210 ) is representative of a hyperspectral image. Method according to one of claims 1 to 12, wherein the intensity information ( 210 . 212 ) Comprises values in at least 20 channels, each channel representing an intensity for one energy interval. Method according to one of claims 1 to 13, wherein the intensity information ( 210 . 212 ) representative of spectral components of a spectral image ( 200 ), wherein at least one of the spectral components is outside the visible energy range. The method of claim 14, wherein the intensity information ( 210 . 212 ) representative of spectral components of a spectral image ( 200 ) from the infrared energy range to the ultraviolet energy range. Method according to one of claims 1 to 15, wherein the intensity information ( 210 . 212 ) representative of spatially resolved portions of a spectral image ( 200 ).  Apparatus adapted or comprising means for performing and / or controlling a method according to any one of claims 1 to 16. Device comprising at least one processor ( 410 ) and at least one memory ( 411 . 412 ) with computer program code, wherein the at least one memory ( 411 . 412 ) and the computer program code are set up with the at least one processor ( 410 ), at least one method according to one of claims 1 to 16 execute and / or to control. Computer program that includes program instructions that include a processor ( 410 ) for executing and / or controlling a method according to any one of claims 1 to 16, when the computer program on the processor ( 410 ) running.  A computer readable storage medium containing a computer program according to claim 19. A system comprising: - a plurality of devices ( 306 . 314 . 316 . 318 . 320 ), in particular at least one mobile device ( 306 ) and a cleaning device ( 320 ), which together perform a method according to any one of claims 1 to 16.

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