Control method and control device of washing equipment, washing equipment and storage medium

Abstract

The invention relates to the technical field of washing equipment, and provides a control method and a control device of washing equipment, the washing equipment and a storage medium, the washing equipment is provided with a Raman spectrometer, the Raman spectrometer is configured to scan clothes to be washed to collect a Raman spectrum image of the clothes to be washed, and the control method comprises the following steps: obtaining the Raman spectrum image; based on the Raman spectrum image, determining the smudginess type and / or smudginess degree of the to-be-washed clothes; based on the smudginess type and / or the smudginess degree, washing parameters of the washing equipment are adjusted. By arranging the Raman spectrometer to scan the to-be-washed clothes, chemical information of a molecular level can be provided, so that recognition of the smudginess type and / or smudginess degree on the to-be-washed clothes is more accurate, the recognition accuracy is remarkably improved, targeted washing is performed by matching corresponding washing parameters, the washing effect is improved, and the user experience is improved. And the use experience of the user is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of washing equipment, and in particular, relates to a control method, a control device, a washing equipment and a storage medium for washing equipment. Background Art

[0002] In the related art, washing equipment often uses cameras or turbidity sensors to identify stains on clothes and then matches corresponding washing parameters. However, the existing stain recognition methods have low recognition accuracy, resulting in poor washing effects. Summary of the invention

[0003] The embodiments of the present application provide a control method, a control device, a washing device and a storage medium for a washing device to solve the problem of low accuracy in identifying stains on clothes in existing washing devices, resulting in poor washing effects.

[0004] In a first aspect, an embodiment of the present application provides a control method for a washing device, wherein the washing device is provided with a Raman spectrometer, and the Raman spectrometer is configured to scan laundry to be washed to collect a Raman spectrum image of the laundry to be washed, and the control method comprises:

[0005] Acquiring the Raman spectrum image;

[0006] Determining the type and / or degree of dirtiness of the laundry based on the Raman spectrum image;

[0007] Based on the type of soiling and / or the degree of soiling, washing parameters of the washing device are adjusted.

[0008] In some embodiments of the present application, determining the type and / or degree of dirtiness of the laundry to be washed based on the Raman spectrum image includes:

[0009] Determine a target wave number corresponding to when the peak intensity in the Raman spectrum image is greater than a preset intensity;

[0010] The target wavenumber is matched with the spectral wavenumber corresponding to the standard stain to determine the type of stain.

[0011] In some embodiments of the present application, determining the type and / or degree of dirtiness of the laundry to be washed based on the Raman spectrum image includes:

[0012] Compare the Raman spectrum image with a preset clean clothes spectrum image to determine a normal peak and an abnormal peak; wherein the normal peak is a peak in the Raman spectrum image corresponding to the preset clean clothes spectrum image, and the abnormal peak is a peak in the Raman spectrum image other than the normal peak;

[0013] Calculating the content of impurity peaks based on the normal peaks and the abnormal peaks;

[0014] The degree of contamination is determined based on the impurity peak content.

[0015] In some embodiments of the present application, the calculation of the impurity peak content based on the normal peak and the abnormal peak includes:

[0016] X=A2 / (A1+A2) or X=B2 / (B1+B2)

[0017] Wherein, X is the impurity peak content, A1 is the number of the normal peaks, A2 is the number of the abnormal peaks, B1 is the total intensity of the normal peaks, and B2 is the total intensity of the abnormal peaks.

[0018] In some embodiments of the present application, determining the degree of dirtiness based on the impurity peak content includes:

[0019] When the impurity peak content is within a first preset range, determining that the degree of dirtiness is light;

[0020] When the impurity peak content is within the second preset interval, determining that the degree of dirtiness is moderate;

[0021] When the impurity peak content is in a third preset interval, the dirtiness is determined to be severe; wherein the first preset interval is smaller than the second preset interval, and the second preset interval is smaller than the third preset interval.

[0022] In some embodiments of the present application, before acquiring the Raman spectrum image, the method further includes:

[0023] Obtaining the working status of the door lock of the washing device;

[0024] When the working state is the off state, turning on the Raman spectrometer;

[0025] When the working state is the on state and the duration is greater than a preset time, the washing device is controlled to send a warning message.

[0026] In some embodiments of the present application, adjusting the washing parameters of the washing device based on the dirt type and / or the dirt degree includes:

[0027] Based on the type of dirt, adjusting the water intake and the amount of washing liquid used in the washing device;

[0028] Based on the degree of dirtiness, the water intake and washing temperature of the washing device are adjusted.

[0029] In a second aspect, an embodiment of the present application further provides a control device for a washing device, wherein the washing device is provided with a Raman spectrometer, wherein the Raman spectrometer is configured to scan laundry to be washed to collect a Raman spectrum image of the laundry to be washed, and the control device comprises:

[0030] An acquisition module, for acquiring the Raman spectrum image;

[0031] A determination module, configured to determine the type and / or degree of dirtiness of the laundry to be washed based on the Raman spectrum image;

[0032] An adjustment module is used to adjust the washing parameters of the washing device based on the dirt type and / or the dirt degree.

[0033] In a third aspect, an embodiment of the present application further provides a washing device, comprising:

[0034] A washing drum, used for accommodating clothes to be washed;

[0035] A Raman spectrometer, arranged in the washing tub, for obtaining a Raman spectrum image of the laundry to be washed;

[0036] A controller is connected to the Raman spectrometer and the washing tub, and is configured to execute the control method of the washing device described in the above embodiment.

[0037] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the control method for the washing device as described in the above embodiment.

[0038] The control method of the washing device provided in the embodiment of the present application is that the washing device is provided with a Raman spectrometer, and the Raman spectrometer is configured to scan the clothes to be washed to collect the Raman spectrum image of the clothes to be washed, and the control method includes obtaining the Raman spectrum image; determining the type and / or degree of dirtiness of the clothes to be washed based on the Raman spectrum image; and adjusting the washing parameters of the washing device based on the type and / or degree of dirtiness. By setting the Raman spectrometer to scan the clothes to be washed, it is possible to provide chemical information at the molecular level, so that the identification of the type and / or degree of dirtiness on the clothes to be washed is more accurate, thereby significantly improving the identification accuracy, and by matching the corresponding washing parameters for targeted washing, the washing effect is improved, and the user experience is enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0040] In order to more completely understand the present application and its beneficial effects, the following description will be given in conjunction with the accompanying drawings. In the following description, the same reference numerals represent the same parts.

[0041] Figure 1 Schematic diagram of the control method of the washing machine provided in the embodiment of the present application Figure 1 .

[0042] Figure 2 Schematic diagram of the control method of the washing machine provided in the embodiment of the present application Figure 2 .

[0043] Figure 3 Schematic diagram of the control method of the washing machine provided in the embodiment of the present application Figure 3 .

[0044] Figure 4 A schematic diagram of a simulation of a Raman spectrum image provided in an embodiment of the present application.

[0045] Figure 5 A schematic diagram of the structure of a control module of a washing device provided in an embodiment of the present application.

[0046] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] The following is a further detailed description of the implementation of the present application in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but cannot be used to limit the scope of the present application.

[0048] In the description of the embodiments of the present application, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the embodiments of the present application. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0049] In the description of the embodiments of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0050] In the embodiments of the present application, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0051] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0052] In the related art, the functions of existing washing equipment such as washing machines are becoming more and more complete, and many intelligent functions have been added, such as intelligent placement, intelligent clothing recognition, and intelligent dirtiness recognition. Intelligent dirtiness recognition is through a turbidity sensor, which judges the dirtiness of clothes by the turbidity of the water entering the barrel. When light passes through a certain amount of water, the amount of light transmitted depends on the turbidity of the water. The dirtier the water, the less light is transmitted, and the turbidity of the clothes is obtained. This method recognizes the dirtiness of clothes based on the turbidity of water, so the accuracy of the dirtiness of clothes is not very high.

[0053] Some solutions use cameras to take images of clothing to identify the type of stains. However, using cameras to take images is greatly affected by the washing environment, which can easily lead to misjudgment and low accuracy.

[0054] The present application provides a control method, a control device, a washing machine and a storage medium to solve the problem of low stain recognition accuracy of existing washing machines. Figure 1-6 Provide explanation.

[0055] The control method of the washing device provided in the embodiment of the present application can be applied to the washing device, which may include but is not limited to a drum washing machine, a pulsator washing machine, a washer-dryer, etc. For example, please refer to Figure 1 , Figure 1 A flow chart of a control method for a washing device provided in an embodiment of the present application. The washing device is provided with a Raman spectrometer, and the Raman spectrometer is configured to scan the laundry to be washed to collect a Raman spectrum image of the laundry to be washed. The control method for the washing device includes:

[0056] S101: Acquire Raman spectrum image;

[0057] It should be noted that Raman spectroscopy is a scattering spectrum. Its analysis method is based on the Raman scattering effect. It analyzes the scattered spectrum with different frequencies from the incident light to obtain information on molecular vibration and rotation, and is applied to the study of molecular structure. By utilizing the scattering phenomenon of the material molecules causing a large change in the frequency of the incident light, the monochromatic incident light (including circularly polarized light and linearly polarized light) is excited to the electrode surface modulated by the electrode potential, and the relationship between the scattered Raman spectral signal (frequency, intensity and polarization performance changes) and the electrode potential or current intensity is measured. Therefore, different molecules or different vibration modes of the same molecule will show different characteristics on the Raman spectrum.

[0058] After the washing machine is started, the Raman spectrometer is activated and emits a laser beam of a specific wavelength to illuminate the surface of the clothes, thereby exciting the molecules in the clothing fibers and stains and generating Raman scattered light. The detector of the Raman spectrometer collects the scattered light signal and converts it into a digital signal. The digital signal is converted into a Raman spectrum image through spectral data processing software (refer to Figure 4 The Raman spectral image contains the specific spectral features of different chemicals on the surface of clothing.

[0059] In some optional implementations, near infrared spectroscopy can also be used to obtain spectral image information of the laundry to be washed, and different stains can be identified through different spectral bands. However, judging stains based on bands has low accuracy, and other pollutants on the laundry may affect the spectral band range, resulting in low accuracy in stain identification.

[0060] S102: Determine the type and / or degree of dirtiness of the laundry to be washed based on the Raman spectrum image;

[0061] By identifying, comparing and analyzing Raman spectral images, the type and degree of dirt on the clothes can be determined.

[0062] In an optional embodiment, a method for determining the type of dirt on clothes to be washed based on a Raman spectral image may include: determining a target wavenumber corresponding to when the peak intensity in the Raman spectral image is greater than a preset intensity; matching the target wavenumber with the spectral wavenumber corresponding to a standard stain to determine the type of dirt.

[0063] Specifically, after obtaining the Raman spectrum image, the peaks with peak intensities greater than the preset intensity in the spectrum image are identified and marked as target peaks, and the wavenumbers of the identified target peaks are matched with the wavenumbers of the standard stains in the database. If the value of the target peak matches the standard wavenumber of a stain in the database, the type of the stain can be determined. If there are multiple target peaks, each target peak needs to be matched to determine the types of multiple stains on the clothes.

[0064] Exemplarily, the types of dirt may include, but are not limited to, blood stains, oil stains, fruit stains, wine stains, or a mixture of the above stains.

[0065] In an optional embodiment, a method for determining the degree of dirtiness of clothes to be washed based on a Raman spectral image may include: comparing the Raman spectral image with a preset clean clothes spectral image to determine normal peaks and abnormal peaks; wherein the normal peaks are peaks in the Raman spectral image corresponding to the preset clean clothes spectral image, and the abnormal peaks are peaks in the Raman spectral image other than the normal peaks; based on the normal peaks and the abnormal peaks, calculating the content of miscellaneous peaks; and determining the degree of dirtiness based on the content of miscellaneous peaks.

[0066] Specifically, after obtaining the Raman spectrum image, the Raman spectrum image is compared with the preset spectrum image of clean clothes, and the peaks in the Raman spectrum image of the clothes to be washed corresponding to the preset spectrum image of clean clothes are identified. These peaks can be considered as normal peaks, that is, they reflect the material characteristics of the clothes themselves. Peaks other than normal peaks are considered as abnormal peaks, which are usually related to stains.

[0067] In an optional embodiment, the impurity peak content is calculated based on normal peaks and abnormal peaks, including: X=A2 / (A1+A2), wherein A1 is the number of normal peaks, that is, the number of peaks corresponding to the preset clean clothing spectrum image; A2 is the number of abnormal peaks, that is, the number of peaks in the Raman spectrum image other than normal peaks; X is the impurity peak content, which reflects the ratio of the number of abnormal peaks to the total number of peaks (normal peaks plus abnormal peaks).

[0068] In an optional embodiment, the impurity peak content is calculated based on normal peaks and abnormal peaks, including: X=B2 / (B1+B2), wherein B1 is the total intensity of normal peaks, that is, the sum of the intensities of all normal peaks; B2 is the total intensity of abnormal peaks, that is, the sum of the intensities of all abnormal peaks; X is the impurity peak content, which reflects the ratio of the total intensity of abnormal peaks to the total peak intensity (the total intensity of normal peaks plus the total intensity of abnormal peaks).

[0069] Optionally, the intensity of the peak can be the peak height, that is, the intensity value of the peak at its peak value; optionally, the intensity of the peak can also be the peak area, that is, the area of ​​the region enclosed between the peak and the preset baseline. The peak area takes into account the shape and width of the entire peak and can therefore better reflect the content of a specific component with higher accuracy.

[0070] Furthermore, based on the impurity peak content, determining the degree of dirtiness may include: when the impurity peak content is in a first preset interval, determining the degree of dirtiness is light; when the impurity peak content is in a second preset interval, determining the degree of dirtiness is moderate; when the impurity peak content is in a third preset interval, determining the degree of dirtiness is heavy; wherein the first preset interval is smaller than the second preset interval, and the second preset interval is smaller than the third preset interval.

[0071] For example, the impurity content within 0-30% can be regarded as mild, within 31-60% as moderate, and above 60% as severe.

[0072] S103: Adjust washing parameters of the washing device based on the type of dirt and / or the degree of dirt.

[0073] Exemplarily, adjusting the washing parameters of the washing equipment based on the type of dirt and / or the degree of dirt includes: adjusting the water intake and the amount of washing liquid used in the washing equipment based on the type of dirt; adjusting the water intake and the washing temperature of the washing equipment based on the degree of dirt. For example, when the degree of dirt is light, the water intake can be controlled to be moderate and the washing temperature to be normal temperature; when the degree of dirt is moderate, the water intake is appropriately increased and the washing temperature is appropriately increased; when the degree of dirt is severe, the water intake is further increased and the washing temperature is adjusted to a high temperature to enhance the decontamination ability.

[0074] According to different types and degrees of dirt, by adjusting the water intake, detergent dosage and washing temperature, on the one hand, it can avoid over-cleaning of clothes and shorten the life of clothes; on the other hand, it can ensure that the clothes are sufficiently cleaned, and by intelligently controlling the water consumption, it can avoid the waste of water resources.

[0075] In an optional embodiment, before acquiring the Raman spectrum image, the method also includes: acquiring the working status of the door lock of the washing device; when the working status is in the closed state, turning on the Raman spectrometer; when the working status is in the open state and the duration is greater than a preset time, controlling the washing device to send a warning message.

[0076] For example, reference Figure 2 and Figure 3 As shown, after the washing program starts, the Raman spectrometer is turned on to scan the laundry after the door lock is closed, and an alarm is sounded when it is detected that the door lock is not locked for 45 seconds, thereby ensuring the safety of the operation process.

[0077] In an optional embodiment, before acquiring the Raman spectrum image of the laundry, the control method may further include: controlling the washing drum to rotate to turn over the laundry, or introducing a preset amount of water into the washing drum and controlling the washing drum to rotate.

[0078] Optionally, for drum washing machines, the washing drum can be controlled to rotate so that the clothes to be washed can be turned inside the drum, which is convenient for dispersing the clothes, so that different surfaces of the clothes to be washed can be scanned by the Raman spectrometer, improving the uniformity and comprehensiveness of the scan. Optionally, for pulsator washing machines, an appropriate amount of water can be added to the washing drum before scanning, so that the clothes can be better separated and spread out; the washing drum can be rotated while the water is flowing, simulating the stirring of the clothes to be washed during the washing process, turning the clothes, making it easier for the Raman spectrometer to scan different parts of the clothes, and further improving the comprehensiveness and accuracy of the Raman spectrometer scan.

[0079] Optionally, multiple Raman spectral images of the clothes to be washed can be obtained during the dispersion process, and the final soiling condition (stain combination) of the clothes to be washed can be determined based on the soiling conditions obtained from the multiple Raman spectral images, so as to more accurately judge the type and degree of soiling of the clothes to be washed.

[0080] In some optional embodiments, the Raman spectrometer may be equipped with a driving mechanism for driving the Raman spectrometer to move during the scanning process, so as to scan different parts of the clothing; optionally, the image recognition technology of the camera can be combined to identify the position and shape of the clothing, and then the Raman spectrometer can be controlled to focus on scanning a specific area, which is not specifically limited in this embodiment.

[0081] The control method of the washing device provided in the embodiment of the present application is provided with a Raman spectrometer, and the control method includes obtaining a Raman spectrum image of the clothes to be washed by scanning with the Raman spectrometer; determining the type and / or degree of dirtiness of the clothes to be washed based on the Raman spectrum image; and adjusting the washing parameters of the washing device based on the type and / or degree of dirtiness. By setting the Raman spectrometer to scan the clothes to be washed, chemical information at the molecular level can be provided, so that the identification of the type and / or degree of dirtiness on the clothes to be washed is more accurate, thereby significantly improving the identification accuracy, and performing targeted washing by matching the corresponding washing parameters, improving the washing effect, and enhancing the user experience.

[0082] In a second aspect, the present application also provides a control device for a washing device, wherein the washing device is provided with a Raman spectrometer, and the Raman spectrometer is configured to scan the laundry to be washed to collect the Raman spectrum image of the laundry to be washed, referring to Figure 5 As shown, the control device includes:

[0083] An acquisition module 501 is used to acquire a Raman spectrum image;

[0084] A determination module 502 is used to determine the type and / or degree of dirtiness of the laundry to be washed based on the Raman spectrum image;

[0085] The adjustment module 503 is used to adjust the washing parameters of the washing device based on the type of dirt and / or the degree of dirt.

[0086] It can be understood that the control device can be used to execute the control method of the washing device of the above embodiment to improve the accuracy of stain recognition of the washing device. Its specific implementation method can refer to the implementation method part of the above embodiment, and this application will not repeat it again.

[0087] In a third aspect, an embodiment of the present application further provides a washing device, comprising a washing drum, a Raman spectrometer and a controller, wherein the washing drum is used to accommodate clothes to be washed, and the Raman spectrometer is arranged in the washing drum to obtain a Raman spectral image of the clothes to be washed; the controller is connected to the Raman spectrometer and the washing drum, and is configured to execute the control method of the washing device of the above embodiment.

[0088] It is understandable that the washing equipment may include but is not limited to a pulsator washing machine, a drum washing machine, a washer-dryer, etc.

[0089] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6As shown, the electronic device may include: a processor 601 (processor), a communication interface 602 (Communications Interface), a memory 603 (memory) and a bus 604, wherein the processor 601, the communication interface 602, and the memory 603 communicate with each other through the communication bus 604. The processor 601 may call the logic instructions in the memory 603 to execute the steps of the control method of the washing device.

[0090] In addition, the logic instructions in the above-mentioned memory 603 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory 603 (ROM, Read-Only Memory), a random access memory 603 (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes.

[0091] On the other hand, an embodiment of the present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the control method of the washing device provided by the above-mentioned method embodiments.

[0092] On the other hand, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which is implemented when the processor 601 executes the control method of the washing device provided in the above embodiments.

[0093] Computer-readable storage media can be any available media or data storage devices that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)), etc.

[0094] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0095] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0096] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for controlling a washing device, characterized in that: The washing device is provided with a Raman spectrometer, and the Raman spectrometer is configured to scan the laundry to be washed to collect the Raman spectrum image of the laundry to be washed; the method comprises: Acquiring the Raman spectrum image; Determining the type and / or degree of dirtiness of the laundry based on the Raman spectrum image; Based on the type of soiling and / or the degree of soiling, washing parameters of the washing device are adjusted.

2. The control method of the washing equipment according to claim 1, characterized in that: Determining the dirt type and / or dirt degree of the laundry to be washed based on the Raman spectrum image includes: Determine a target wave number corresponding to when the peak intensity in the Raman spectrum image is greater than a preset intensity; The target wavenumber is matched with the spectral wavenumber corresponding to the standard stain to determine the type of stain.

3. The control method of the washing equipment according to claim 1, characterized in that: Determining the dirt type and / or dirt degree of the laundry to be washed based on the Raman spectrum image includes: Compare the Raman spectrum image with a preset clean clothes spectrum image to determine a normal peak and an abnormal peak; wherein the normal peak is a peak in the Raman spectrum image corresponding to the preset clean clothes spectrum image, and the abnormal peak is a peak in the Raman spectrum image other than the normal peak; Calculating the content of impurity peaks based on the normal peaks and the abnormal peaks; The degree of contamination is determined based on the impurity peak content.

4. The control method of the washing equipment according to claim 3, characterized in that: The calculating of the impurity peak content based on the normal peak and the abnormal peak comprises: X=A2 / (A1+A2) or X=B2 / (B1+B2) Wherein, X is the impurity peak content, A1 is the number of the normal peaks, A2 is the number of the abnormal peaks, B1 is the total intensity of the normal peaks, and B2 is the total intensity of the abnormal peaks.

5. The control method of the washing equipment according to claim 3, characterized in that: The determining the degree of dirtiness based on the impurity peak content includes: When the impurity peak content is within a first preset range, determining that the degree of dirtiness is light; When the impurity peak content is within the second preset interval, determining that the degree of dirtiness is moderate; When the impurity peak content is in a third preset interval, the dirtiness is determined to be severe; wherein the first preset interval is smaller than the second preset interval, and the second preset interval is smaller than the third preset interval.

6. The control method of washing equipment according to claim 1, characterized in that: Before acquiring the Raman spectrum image, the method further includes: Obtaining the working status of the door lock of the washing device; When the working state is the off state, controlling the Raman spectrometer to turn on; When the working state is the on state and the duration is greater than a preset time, the washing device is controlled to send a warning message.

7. The control method of washing equipment according to claim 1, characterized in that: The adjusting the washing parameters of the washing device based on the dirt type and / or the dirt degree includes: Based on the type of dirt, adjusting the water intake and the amount of washing liquid used in the washing device; Based on the degree of dirtiness, the water intake and washing temperature of the washing device are adjusted.

8. A control device for a washing device, characterized in that: The washing device is provided with a Raman spectrometer, and the Raman spectrometer is configured to scan the laundry to be washed to collect the Raman spectrum image of the laundry to be washed; the control device comprises: An acquisition module, used for acquiring a Raman spectrum image of the laundry to be washed by scanning with the Raman spectrometer; A determination module, configured to determine the type and / or degree of dirtiness of the laundry to be washed based on the Raman spectrum image; An adjustment module is used to adjust the washing parameters of the washing device based on the dirt type and / or the dirt degree.

9. A washing device, characterized in that: include: A washing drum, used for accommodating clothes to be washed; A Raman spectrometer, arranged in the washing tub, for obtaining a Raman spectrum image of the laundry to be washed; A controller is connected to the Raman spectrometer and the washing drum, and is configured to execute the control method of the washing equipment according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the control method of the washing device as described in any one of claims 1 to 7 are implemented.

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