Laundry method

Abstract

The present application provides a kind of clothes washing method, belongs to clothes washing technical field, it includes the following steps: washing machine obtains current clothes image and uploads to cloud end;Cloud end compares the current clothes image received with the historical clothes image stored in itself, and judges whether it is same clothes;If cloud end determines same clothes, cloud end calls the washing history data of current clothes, and recommends washing program according to washing history data, and issues to washing machine;If cloud end determines that it is not same clothes, cloud end saves current clothes information and recommends washing program, and cloud end issues the recommended washing program to washing machine;The clothes washing method provided by the present application can determine the washing life of current clothes according to the washing history data of current clothes, so as to recommend the best clothes washing program, which can avoid the phenomenon of clothes damage caused by the recommended clothes washing program after washing.

Description

Technical Field

[0001] This invention belongs to the field of clothing washing technology, and specifically provides a method for washing clothes. Background Technology

[0002] With the development of science and technology, home appliances are becoming increasingly intelligent, and smart washing machines are gradually gaining popularity among consumers. Smart washing machines can add different functions according to user needs.

[0003] Currently, some smart washing machines can identify the color, type, and material of the clothes to be cleaned in order to adjust their washing programs and recommend the best washing program parameters. These parameters may include washing time, washing intensity, washing water temperature, and drying temperature.

[0004] However, the aforementioned smart washing machine cannot recognize the color difference of this garment; therefore, the recommended washing program parameters are insufficient, which may result in damage to the garment after washing. Summary of the Invention

[0005] To address the aforementioned problems in the prior art, the present invention provides a clothing washing method that solves the problem of insufficient recommended washing program parameter settings in existing smart washing machines, which leads to damage to the washed clothes.

[0006] In a first aspect, the present invention provides a method for washing clothes, comprising:

[0007] The washing machine acquires an image of the current clothes and uploads it to the cloud;

[0008] The cloud will compare the received current clothing image with its stored historical clothing images to determine whether they are the same clothing item.

[0009] If the cloud determines that it is the same garment, the cloud retrieves the washing history data of the current garment and recommends a washing program based on the washing history data. The cloud then sends the recommended washing program to the washing machine.

[0010] If the cloud determines that the items are not the same, it saves the current item information and recommends a washing program, which is then sent to the washing machine.

[0011] The washing history data includes historical color depth.

[0012] In the above preferred technical solution, the step of "the washing machine acquiring an image of the current clothes" specifically includes: taking a picture of the current clothes by using a camera module set on the washing machine to acquire an image of the current clothes.

[0013] In the above preferred technical solution, the step of "comparing the received current clothing image with its own stored historical clothing images" specifically includes:

[0014] The cloud first performs fine processing on the current clothing image, and then compares the refined current clothing image with its stored historical clothing images.

[0015] In the above preferred technical solution, the step of "refining the current clothing image in the cloud" specifically includes:

[0016] The cloud identifies the clothing in the current clothing image and the location of the clothing in the image;

[0017] The cloud removes the surrounding background from the image containing the clothing to obtain the main image of the clothing.

[0018] Based on the image of the main body of the clothing, the cloud extracts the clothing information of the current clothing.

[0019] In the above preferred technical solution, the step of "comparing the refined current clothing image with its own stored historical clothing images" specifically includes:

[0020] The cloud-based system sets a similarity threshold between the current clothing image and historical clothing images after fine processing.

[0021] The cloud compares the similarity value of the current clothing with the clothing stored in its own database and uses a similarity threshold.

[0022] The specific steps involved in "cloud-based determination of whether the items are the same" include:

[0023] The cloud platform determines whether the current garment is the same garment as the garments stored in its own database based on the comparison between the similarity value and the similarity threshold.

[0024] The cloud-based rule for determining whether items are the same garment is as follows: if the similarity value is greater than or equal to the similarity threshold, they are determined to be the same garment; if the similarity value is less than the similarity threshold, they are determined to be different garments.

[0025] In the above preferred technical solution, the step of "recommending washing programs based on washing history data in the cloud" specifically includes:

[0026] The cloud retrieves the historical color depth of the garment from its own storage.

[0027] The cloud calculates the color difference of the current clothing based on the current color depth and the historical color depth of the clothing.

[0028] The cloud recommends washing programs based on the color difference of the current clothes.

[0029] In the above-mentioned preferred technical solution, the parameters of the washing program recommended by the cloud based on the current color difference include: washing time and / or the temperature of the washing water.

[0030] The preferred technical solution described above also includes: storing the recommended washing program in the cloud while or after recommending the washing program to the washing machine in the cloud.

[0031] Secondly, the present invention also provides a method for washing clothes, comprising:

[0032] The cloud receives the current clothing image obtained by the washing machine and compares it with the historical clothing images stored in its own database to determine whether they are the same clothing items.

[0033] If the cloud determines that it is the same garment, the cloud retrieves the washing history data of the current garment and recommends a washing program based on the washing history data. The cloud then sends the recommended washing program to the washing machine.

[0034] If the cloud determines that the items are not the same, it saves the current item information and recommends a washing program, which is then sent to the washing machine.

[0035] The washing history data includes historical color depth.

[0036] Thirdly, the present invention also provides a method for washing clothes, including:

[0037] The washing machine acquires an image of the current clothes and uploads it to the cloud, so that the cloud can compare the received image of the current clothes with its stored historical images of clothes and determine whether they are the same clothes.

[0038] When the washing machine determines that the items are the same type of clothing in the cloud, it receives the washing program recommended by the cloud after retrieving the washing history data of the current items and based on the washing history data. When the washing machine determines that the items are not the same type of clothing in the cloud, it receives the washing program directly recommended by the cloud.

[0039] The washing history data includes historical color depth.

[0040] Compared with related technologies, the clothing washing method provided by the present invention has the following advantages:

[0041] The clothing washing method provided by this invention utilizes a washing machine to acquire an image of the current clothing and upload it to the cloud. The cloud compares the current clothing image with its stored historical clothing images. If they match, the cloud retrieves the washing history data of the current clothing, which includes historical color depth. Based on the current historical color depth, the washing lifespan of the current clothing is determined, making it easier to recommend the best clothing washing program. This can prevent clothing damage caused by unsuitable recommended washing programs after washing. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the structure of an IoT washing machine provided in an embodiment of the present invention;

[0043] Figure 2 The laundry washing method flow provided in the embodiments of the present invention Figure 1 ;

[0044] Figure 3 This is the clothing washing method flow provided in the embodiments of the present invention. Figure 2 .

[0045] Explanation of reference numerals in the attached figures:

[0046] 100 - IoT washing machines; 200 - Cloud computing;

[0047] 10 - Camera module; 20 - Lighting module; 30 - Controller; 40 - Actuator. Detailed Implementation

[0048] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0049] It should be noted that in the description of this invention, terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," indicating directional or positional relationships, are based on the directional or positional relationships shown in the accompanying drawings. These are merely for ease of description and do not indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation; therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0050] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0051] The clothing washing method provided in this embodiment of the invention should be noted to be applicable to various washing devices with IoT functionality, including but not limited to household washing machines, commercial washing machines, top-loading washing machines, and front-loading washing machines. This embodiment uses any of the aforementioned washing devices as an example to illustrate this implementation.

[0052] like Figure 1 As shown, the washing machine can acquire images of the clothes to be washed and upload them to the cloud 200. The washing machine can be an IoT washing machine 100, which includes a lighting module 20, a camera module 10, a controller 30, and an actuator 40. The lighting module 20 provides light to the space where the clothes are being washed, optimizing the photography environment and facilitating the acquisition of clear images of the clothes. For example, the lighting module 20 includes multiple lights, which can be positioned on the edge of the washing tub or on the tub lid. The light emitted by these lights illuminates the entire washing tub, providing sufficient brightness when taking photos of the clothes and improving the image quality.

[0053] The camera module 10 is used to acquire images of clothing and is communicatively connected to the controller 30. The controller 30 is also communicatively connected to the cloud 200. The clothing images acquired by the camera module 10 can be transmitted to the cloud 200 through the controller 30. For example, the camera module 10 includes multiple cameras, which can be installed at positions similar to those of the lighting fixtures. The multiple cameras have different shooting angles to acquire clothing images from different angles, thereby providing the cloud 200 with clothing images from different angles, making it easier for the cloud 200 to select appropriate clothing images for analysis.

[0054] The controller 30 is also connected to the actuator 40 to transmit the washing program instructions sent from the cloud 200 to the controller 30 to the actuator 40, so that the washing machine can execute the washing program and complete the washing of clothes.

[0055] like Figure 2 As shown, the clothing washing method provided in this embodiment includes the following steps:

[0056] Step S101: The washing machine acquires an image of the current clothes and uploads it to the cloud 200.

[0057] Specifically, the washing machine is equipped with a camera module 10, which can take pictures of the current clothes to obtain images of the current clothes and upload the images of the current clothes to the cloud 200.

[0058] Step S102: The cloud 200 compares the received current clothing image with its stored historical clothing images and determines whether they are the same clothing; if so, proceed to step S103; otherwise, proceed to step S104.

[0059] Specifically, the cloud 200 can be a storage device with computing capabilities, storing historical clothing images and corresponding historical washing program parameters for each historical clothing image. The historical clothing images are images of clothing previously washed by the washing machine, and the corresponding historical washing program parameters include the number of washes, historical color depth, wash duration, wash intensity, and wash water temperature of the clothing.

[0060] After receiving the current clothing image, Cloud200 can compare it with the historical clothing images stored in Cloud200. Based on the comparison result, it can determine whether the clothing in the current clothing image and the clothing in the historical clothing image are the same clothing.

[0061] If the cloud 200 determines that the clothing in the current clothing image is the same clothing in the historical clothing image, then the cloud 200 executes step S103.

[0062] Step 103: The cloud 200 retrieves the washing history data of the current clothes and recommends a washing program based on the washing history data. The cloud 200 then sends the recommended washing program to the washing machine.

[0063] Specifically, the cloud-based system 200 retrieves the washing history data corresponding to the current garment. This washing history data includes at least the color depth of the garment. The color depth is used to determine the garment's wash lifespan, thereby adjusting the washing intensity, water temperature, and washing time to recommend a suitable washing program. The cloud-based system 200 then sends the recommended washing program to the actuator 40 via the controller 30, allowing the washing machine to execute the recommended program. Of course, the aforementioned historical data may also include the fabric, color, and type of the garment.

[0064] If the cloud 200 determines that the clothing in the current clothing image is not the same clothing in the historical clothing image, then the cloud 200 executes step S104.

[0065] Step S104: The cloud 200 saves the current clothing information and recommends a washing program, and then sends the recommended washing program to the washing machine.

[0066] Specifically, if the cloud 200 determines that the current clothing image is inconsistent with historical clothing images, it means that the clothing in the current clothing image has not been washed by the current washing machine. At this time, the cloud 200 uses the color, material, type, etc. of the current clothing it has acquired to recommend a suitable washing program. This washing program can be transmitted to the actuator 40 via the controller 30, so that the washing machine can execute the recommended washing program.

[0067] The clothing washing method provided in this embodiment of the invention can compare the current clothing image with the historical clothing images stored in the cloud. If they match, the cloud obtains the historical washing data of the current clothing. The historical washing data must include historical color depth. The washing life of the clothing can be determined by the historical washing data, so as to recommend a reasonable clothing washing program. This can avoid the phenomenon of clothing damage caused by unsuitable recommended clothing washing programs after washing.

[0068] like Figure 3 As shown, based on the above embodiment, in step S102 "the cloud compares the received current clothing image with its own stored historical clothing images", the cloud can further perform fine processing on the current clothing image; such a setting can improve the clarity and recognizability of the current clothing image, thereby making the above comparison results more accurate.

[0069] Specifically, "refining the current clothing image in the cloud" includes the following steps:

[0070] Step S102a: The cloud identifies the clothing in the current clothing image and the location of the clothing in the image. For example, the cloud can identify the clothing in the current clothing image and the location of the clothing in the image through an object detection model.

[0071] Step S102b: The cloud removes the surrounding background from the image containing the clothing to obtain the main image of the clothing. For example, the image boundary of the clothing to be acquired is confirmed by an object detection and recognition model. The background outside the image boundary of the clothing is removed, leaving only the image within the boundary, thus obtaining the main image of the clothing. This setting can remove interfering factors in the current clothing image and improve the accuracy of clothing recognition.

[0072] Step S102c: The cloud extracts clothing information based on the main image of the clothing. For example, based on the acquired main image of the clothing, the cloud extracts clothing information through a deep learning model. The clothing information includes its type, material, color, or other feature information.

[0073] Continue reading Figure 3 After completing the step of "refining the current clothing image," the process also includes the step of "comparing the refined current clothing image with historical clothing images stored in the cloud and determining whether they are the same garment," which specifically includes:

[0074] Step S102d: "Set the similarity threshold between the current clothing image and the historical clothing image after fine processing in the cloud."

[0075] Specifically, the cloud identifies the main image of the clothing and obtains the current clothing information. This clothing information can be represented using a 3D vector. Clothing belonging to the same user stored in the cloud is also represented using 3D vectors, so that when comparing the current clothing with clothing stored in the cloud, the Euclidean distance can be used to represent the degree of similarity. The cloud can pre-set similarity thresholds for two pieces of clothing to facilitate similarity comparisons.

[0076] Step S102e: The cloud compares the similarity value of the current garment with the similarity threshold of the garments stored in it, and determines whether the two garments are the same garment based on the comparison result.

[0077] Specifically, if the similarity value between the current garment and the garments stored in the cloud is greater than or equal to the similarity threshold set by the cloud, then the current garment is determined to be the same garment. Conversely, if the similarity value between the current garment and the garments stored in the cloud is less than the similarity threshold set by the cloud, then the current garment and the garments stored in the cloud are determined to be different garments.

[0078] Based on the above embodiments, after completing the step of "comparing the similarity value and similarity threshold between the current garment and the garments stored in the cloud and determining that the two garments are the same garment", the method further includes the step of "retrieving the washing history data of the current garment from the cloud and recommending a washing program based on the washing history data", specifically including:

[0079] After determining in the cloud that the current garment is the same garment stored in the cloud, step S103a is executed: the cloud automatically retrieves the historical color depth of the current garment. The so-called historical color depth refers to the cloud obtaining images of the same garment before each wash, analyzing the garment images to obtain its color depth, and storing it in the cloud.

[0080] After the cloud obtains the historical color depth of the clothing, step S103b is implemented: the cloud calculates the color difference of the current clothing based on the historical color depth of the clothing and the current color depth of the clothing.

[0081] Before calculating the color difference of the current garment, it is also necessary to obtain the color depth of the current garment. This step can be performed after obtaining the historical color depth of the garment from the cloud, or it can be performed simultaneously with the step of obtaining the historical color depth of the garment from the cloud.

[0082] In this embodiment, the cloud maintains a table representing the color depth for each color, with one table for each color depth. For example, red has different depths, each corresponding to a table with a different color depth. When the cloud analyzes the current clothing image, it can obtain the color of the clothing and store it in the cloud. When it is necessary to calculate the color difference of the clothing, the current clothing color depth can be retrieved.

[0083] After the cloud calculates the color difference of the current clothing, step 103c is implemented: the cloud recommends a washing program based on the current color difference. For example, the cloud obtains the lifespan of the current clothing through color difference analysis, or in other words, it obtains the current condition of the clothing through color difference analysis; and recommends a reasonable washing program (washing intensity, washing time, or washing water temperature) to prevent damage to the clothing after washing.

[0084] It is understood that the clothing washing method provided in this embodiment also includes step S105: while recommending a washing program to the washing machine in the cloud, or afterward, the cloud stores the recommended washing program.

[0085] Specifically, the cloud not only sends its recommended washing programs to the washing machine's controller, which then executes them, but also stores these recommended programs in the cloud to enrich its data.

[0086] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for washing clothes, characterized in that, include: The washing machine acquires an image of the current clothes and uploads it to the cloud; The cloud will compare the received current clothing image with its stored historical clothing images to determine whether they are the same clothing item. If the cloud determines that it is the same garment, the cloud retrieves the washing history data of the current garment and recommends a washing program based on the washing history data. The cloud then sends the recommended washing program to the washing machine. If the cloud determines that the items are not the same, it saves the current item information and recommends a washing program, which is then sent to the washing machine. The washing history data includes historical color depth; The specific steps involved in "recommending washing programs based on historical washing data in the cloud" include: The cloud retrieves the historical color depth of the garment from its own storage. The cloud calculates the color difference of the current garment based on its current color depth and historical color depth. The cloud recommends washing programs based on the color difference of the current clothes; The parameters for the washing program recommended by the cloud based on the color difference of the current clothes include: washing time and / or the temperature of the washing water.

2. The method for washing clothes according to claim 1, characterized in that, The steps of "the washing machine acquiring an image of the current clothes" specifically include: The current clothes are photographed by a camera module installed on the washing machine to obtain an image of the clothes.

3. The clothing washing method according to claim 1, characterized in that, The steps involved in "comparing the received current clothing image with its stored historical clothing images" specifically include: The cloud first performs fine processing on the current clothing image, and then compares the refined current clothing image with its stored historical clothing images.

4. The clothing washing method according to claim 3, characterized in that, The steps involved in "refining the current clothing image in the cloud" specifically include: The cloud identifies the clothing in the current clothing image and the location of the clothing in the image; The cloud removes the surrounding background from the image containing the clothing to obtain the main image of the clothing. Based on the image of the main body of the clothing, the cloud extracts the clothing information of the current clothing.

5. The method for washing clothes according to claim 4, characterized in that, The steps involved in "comparing the refined current clothing image with its stored historical clothing images in the cloud" specifically include: The cloud sets a similarity threshold between the current clothing image and historical clothing images after fine processing; The cloud compares the similarity value of the current clothing with the clothing stored in its own database and uses a similarity threshold. The specific steps involved in "cloud-based determination of whether they are the same item of clothing" include: The cloud platform determines whether the current garment is the same garment as the garments stored in its own database based on the comparison between the similarity value and the similarity threshold. The cloud-based rule for determining whether items are the same garment is as follows: if the similarity value is greater than or equal to the similarity threshold, they are determined to be the same garment; if the similarity value is less than the similarity threshold, they are determined to be different garments.

6. The method for washing clothes according to claim 1, characterized in that, Also includes: While recommending washing programs to the washing machine from the cloud, or afterward, the cloud stores the recommended washing programs.

7. A method for washing clothes, characterized in that, include: The cloud receives the current clothing image obtained by the washing machine and compares it with the historical clothing images stored in its own database to determine whether they are the same clothing items. If the cloud determines that it is the same garment, the cloud retrieves the washing history data of the current garment and recommends a washing program based on the washing history data. The cloud then sends the recommended washing program to the washing machine. If the cloud determines that the items are not the same, it saves the current item information and recommends a washing program, which is then sent to the washing machine. The washing history data includes historical color depth; The steps of "recommending washing programs based on historical washing data in the cloud" specifically include: the cloud obtaining the historical color depth of the garment stored in its own database; the cloud calculating the color difference of the current garment based on the current color depth and the historical color depth of the garment; and the cloud recommending a washing program based on the current color difference of the garment. The parameters of the washing program recommended by the cloud based on the current color difference of the garment include: washing time and / or the temperature of the washing water.

8. A method for washing clothes, characterized in that, include: The washing machine acquires an image of the current clothes and uploads it to the cloud, so that the cloud can compare the received image of the current clothes with its stored historical images of clothes and determine whether they are the same clothes. When the washing machine determines that the items are the same type of clothing in the cloud, it receives the washing program recommended by the cloud after retrieving the washing history data of the current items and based on the washing history data. When the washing machine determines that the items are not the same type of clothing in the cloud, it receives the washing program directly recommended by the cloud. The washing history data includes historical color depth; In cases where the garment is identified as the same item of clothing in the cloud, the recommended washing program based on historical washing data includes the following steps: calculating the color difference of the current garment based on its current color depth and historical color depth, and recommending a washing program based on the color difference of the current garment. The parameters of the recommended washing program include washing time and / or the temperature of the washing water.

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