Control methods for smart home systems

By working in tandem with a robotic vacuum cleaner and a washing machine, the system obtains information about the type and season of clothing and prompts users to pre-treat lint, thus solving the problem of secondary pollution from lint during clothing washing and achieving efficient clothing cleaning and improved user experience.

CN115928369BActive Publication Date: 2025-10-28QINGDAO JIAONAN HAIER WASHING MACHINE CO LTD +1
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Patent Information

Application Number
CN202110886531.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-08-03
Publication Date
2025-10-28
Estimated Expiration
2041-08-03

AI Technical Summary

Technical Problem

Existing washing equipment is not effective at removing lint from clothes, and the lint filter needs to be manually cleaned by the user, which can easily lead to secondary pollution of clothes and bacterial growth.

Method used

By communicating with the washing machine through the robot vacuum cleaner in the smart home system, the system can obtain information about the type of items being cleaned and the current season. It can then selectively send prompts to the washing machine, prompting the user to select the lint pretreatment function to prevent lint from sticking back to the clothes during rinsing and spin drying.

Benefits of technology

It effectively removes lint and dander from clothing, reducing the probability of dander entering the lint filter, avoiding secondary contamination of clothing and bacterial growth, and improving user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the field of smart home technology, specifically providing a control method for a smart home system, aiming to solve the problem of unsatisfactory lint removal effects of existing washing equipment on clothing. To this end, the control method of this invention includes the following steps: a robotic vacuum cleaner acquires information about the type of object being cleaned; based on the type information, the robotic vacuum cleaner selectively sends preset information to the washing equipment; when the washing equipment receives the preset information, the washing equipment acquires the current season; based on the current season, the washing equipment selectively sends a prompt message to prompt the user to select a pre-treatment function for lint removal, thereby removing lint and other debris from clothing. This prevents lint and other debris from sticking back to the cleaned clothing during rinsing and spin-drying, reduces the probability of lint entering the lint filter returning to the washing tub, avoids secondary pollution of clothing, and improves the user experience.
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Description

Technical Field

[0001] This invention relates to the field of smart home technology, and specifically provides a control method for a smart home system. Background Technology

[0002] In daily life, bedding, clothing, and even the clothes themselves generate a lot of lint and hair. With rising living standards, more and more families are keeping pets, which shed a lot of fur. This lint, hair, and lint will then adhere to clothing. However, during the washing machine process, this lint, hair, and lint will detach from the clothes and float in the wash water. Later, during rinsing and spin-drying, this floating lint, hair, and lint may stick to the cleaned clothes, causing secondary contamination.

[0003] To address these issues, existing technologies incorporate a lint filter inside the washing tub, using water flow to carry lint and other debris into the filter for collection. However, once the lint filter is full, it needs to be manually emptied by the user. If not cleaned promptly, the lint will return to the washing tub, causing secondary contamination of the clothes and fostering bacterial growth, thus diminishing the user experience.

[0004] Therefore, there is a need in the field for a new control method for smart home systems to solve the above problems. Summary of the Invention

[0005] To address the aforementioned problems in the prior art, specifically the unsatisfactory lint removal effect of existing washing equipment on clothing, this invention provides a control method for a smart home system. The smart home system includes a washing machine and a robotic vacuum cleaner, with the washing machine capable of communicating with the robotic vacuum cleaner. The control method includes the following steps: the robotic vacuum cleaner acquires information about the type of object being cleaned; based on the type information, the robotic vacuum cleaner selectively sends preset information to the washing machine; upon receiving the preset information, the washing machine acquires the current season; based on the current season, the washing machine selectively sends a prompt message to encourage the user to select a pre-treatment function for lint removal.

[0006] In the preferred embodiment of the above control method, the step of "the sweeping robot selectively sending preset information to the washing device according to the type information" specifically includes: based on the type information, the sweeping robot determines whether there is a pet in the preset location; according to the determination result, the sweeping robot selectively sends the determination result that there is a pet in the preset location to the washing device; the step of "the washing device obtaining the current season when it receives the preset information" specifically includes: the washing device only obtains the current season when it receives the determination result that there is a pet in the preset location.

[0007] In the preferred embodiment of the above control method, the step of "selectively sending the judgment result of the preset location having pets to the washing device according to the judgment result" specifically includes: if there are pets in the preset location, the sweeping robot sends the judgment result of the preset location having pets to the washing device; and / or if there are no pets in the preset location, the sweeping robot does not send the judgment result.

[0008] In the preferred embodiment of the above control method, the step of "selectively sending a prompt message to prompt the user to select a pre-treatment function for removing dander according to the current season" specifically includes: determining the category to which the current season belongs; and, based on the determination result, selectively sending a prompt message to prompt the user to select a pre-treatment function for removing dander.

[0009] In the preferred embodiment of the above control method, the step of "selectively sending a prompt message to prompt the user to select a pre-treatment function for removing dander based on the judgment result" specifically includes: if the current season belongs to the first type of season, the washing device sends a prompt message each time it is started to prompt the user to select a pre-treatment function for removing dander.

[0010] In the preferred embodiment of the above control method, the step of "selectively sending a prompt message to prompt the user to select a pre-treatment function for removing lint based on the judgment result" further includes: if the current season belongs to the second type of season, the washing device obtains the material of the clothing; based on the material, the washing device determines whether the clothing is prone to attracting lint; based on the judgment result, the washing device selectively sends a prompt message to prompt the user to select a pre-treatment function for removing lint.

[0011] In the preferred embodiment of the above control method, the step of "the washing device determining whether the clothing is prone to attracting lint based on the material" specifically includes: determining whether the material belongs to a preset material; if the material belongs to the preset material, the washing device determines that the clothing is prone to attracting lint; and / or if the material belongs to the preset material, the washing device determines that the clothing is not prone to attracting lint.

[0012] In the preferred embodiment of the above control method, the step of "selectively sending a prompt message to prompt the user to select a pre-treatment function for removing lint based on the judgment result" specifically includes: when it is determined that the clothes are prone to attracting lint, the washing device sends a prompt message to prompt the user to select a pre-treatment function for removing lint; and / or when it is determined that the clothes are not prone to attracting lint, the washing device does not send a prompt message.

[0013] In the preferred embodiment of the above control method, the step of "the sweeping robot acquiring the type information of the object being cleaned" specifically includes: the sweeping robot acquiring an image of the object being cleaned; and the sweeping robot determining the type information based on the image.

[0014] In a preferred embodiment of the above control method, the robotic vacuum cleaner has a database or a preset model; the step of "the robotic vacuum cleaner determining the type information based on the image" specifically includes: the robotic vacuum cleaner obtaining the type information matching the image from the database based on the image; or the robotic vacuum cleaner calling the preset model to recognize the image and identify the type information.

[0015] In a preferred embodiment of the control method of the present invention, the smart home system includes a washing machine and a robotic vacuum cleaner that are communicatively connected to each other; the robotic vacuum cleaner acquires information about the type of the object being cleaned; based on the type information, the robotic vacuum cleaner selectively sends preset information to the washing machine; when the washing machine receives the preset information, the washing machine acquires the current season; based on the current season, the washing machine selectively sends a prompt message to prompt the user to select a pre-treatment function for removing lint.

[0016] Compared to existing technologies that directly wash clothes, this invention, after receiving preset information from a robotic vacuum cleaner, determines the current season. Based on the season, the washing machine selectively sends prompts to encourage the user to select a pre-treatment function for lint removal. This removes lint and dander from clothes, preventing them from sticking back to the cleaned garments during rinsing and spin-drying. Furthermore, it reduces the amount of lint and dander entering the lint filter, thus lowering the probability of lint returning to the washing tub, preventing secondary contamination of clothes, and avoiding bacterial growth, thereby improving the user experience.

[0017] Furthermore, when the washing machine receives a pre-set judgment indicating the presence of pets in the location, it selectively sends a prompt message based on the pet's molting season. During this season, pets shed a large amount of fur, resulting in a significant amount of lint and dander adhering to the user's clothes. To improve the washing effect, the washing machine selectively sends a prompt message based on the current season's category, encouraging the user to select the lint removal pre-treatment function. This ensures that during seasons with abundant lint and dander, the user is promptly prompted to select the lint removal pre-treatment function, preventing lint and dander from sticking back to the clean clothes during rinsing and spin-drying, thus improving the washing effect. Conversely, in seasons with very little lint and dander, where lint removal pre-treatment is unnecessary, the washing machine still prompts the user to select the lint removal pre-treatment function. This achieves the goal of determining the most appropriate time to send the prompt message, thereby improving the user experience.

[0018] Furthermore, if the current season belongs to the first category of seasons, it means that the pet in the user's home is shedding its fur during this season, and the shedding is very serious. Therefore, it can be assumed that there is a lot of dander attached to the user's clothes. In order to improve the washing effect of the clothes, the washing machine will send a prompt message every time it starts to remind the user to select the pre-treatment function for removing dander.

[0019] Furthermore, if the current season belongs to the second category, it means that the pets in the user's home have finished molting or have not yet started molting, resulting in a significant reduction in shedding. Therefore, it can be assumed that there is less lint on the user's clothes, especially for clothing made of materials that are not prone to static electricity, such as polyester fibers. Lint is even less likely to adhere to such clothing, so there is no need for lint pretreatment. In order to accurately determine whether to send a prompt message, the material of the clothing is obtained. The washing machine determines whether the clothing is prone to lint based on the material, and according to the determination result, the washing machine selectively sends a prompt message to remind the user to select the lint removal pretreatment function. This avoids prompting the user to select the lint removal pretreatment function when the clothing is not prone to lint, thereby improving the user experience. Attached Figure Description

[0020] The smart home system and control method of the present invention will now be described with reference to the accompanying drawings and in conjunction with a washing machine. In the drawings:

[0021] Figure 1 This is a structural diagram of the smart home system of the present invention;

[0022] Figure 2 This is the flow chart of the control method of the present invention. Figure 1 ;

[0023] Figure 3 This is a flowchart of the control method for obtaining the type information of the object being cleaned according to the present invention;

[0024] Figure 4 This is the flow chart of the control method of the present invention. Figure 2 ;

[0025] Figure 5 This is a flowchart of the control method for selectively sending preset information to a washing machine according to the present invention;

[0026] Figure 6 This is the flow chart of the control method for selectively sending prompt information according to the present invention. Figure 1 ;

[0027] Figure 7 This is the flow chart of the control method for selectively sending prompt information according to the present invention. Figure 2 ;

[0028] Figure 8 This is the flow chart of the control method for selectively sending prompt information according to the present invention. Figure 3 ;

[0029] Figure 9 This is a logic diagram of the control method of the present invention.

[0030] List of reference numerals

[0031] 1. Washing machine; 2. Robot vacuum cleaner. Detailed Implementation

[0032] 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. For example, although this application is described in conjunction with a washing machine, the technical solution of the present invention is not limited thereto. This smart home system and control method can obviously also be applied to other clothing processing equipment such as dryers, washer-dryers, shoe washers, and garment care machines, and such modifications do not depart from the principles and scope of the present invention.

[0033] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. 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 a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0034] Based on the technical problems mentioned in the background art, the present invention provides a control method for a smart home system. The method involves the washing machine receiving preset information from a robotic vacuum cleaner and then obtaining the current season. Based on the current season, the washing machine selectively sends prompts to encourage the user to select a pre-treatment function for lint removal. This removes lint and dander from clothing, preventing them from sticking back to the cleaned clothes during rinsing and spin-drying. Furthermore, it reduces the amount of lint and dander entering the lint filter, thereby reducing the probability of lint returning to the washing tub, preventing secondary contamination of clothes, and preventing bacterial growth, ultimately improving the user experience.

[0035] First see Figure 1 The present invention describes a smart home system. Figure 1 This is a structural diagram of the smart home system of the present invention.

[0036] like Figure 1 As shown, the smart home system of the present invention includes a washing machine 1 and a robotic vacuum cleaner 2, and the washing machine 1 is able to communicate with the robotic vacuum cleaner 2.

[0037] The washing machine 1 includes a first communication module, an information acquisition module, and a first control module. The first communication module and the information acquisition module are both connected to the first control module. The washing machine 1 communicates with the robot vacuum cleaner 2 through the first communication module. The information acquisition module is used to collect the current season and the material of the clothes. The control module controls the information acquisition module to collect the current season and the material of the clothes.

[0038] Preferably, the information acquisition module includes a time module and a material sensor. The time module is used to acquire the current time, and the first control module determines the current season based on the current time. The material sensor is used to detect the material of the clothing.

[0039] Alternatively, the information acquisition module may include a first image acquisition module or an RFID identification module. The washing machine 1 has a deep learning model. The first image acquisition module is used to acquire images of the clothing, and the deep learning model is used to analyze the images of the clothing to determine the material of the clothing. Alternatively, the RFID identification module is used to identify the RFID tags on the clothing.

[0040] Preferably, the deep learning model can be, but is not limited to, a CNN model, a DeeplabV3+ model, a ResNeXt model, and an HRNet model.

[0041] The robotic vacuum cleaner 2 includes a second communication module, a second image acquisition module, a database, a preset model, and a second control module. The second communication module, the second image acquisition module, the database, and the preset model are all connected to the second control module. The robotic vacuum cleaner 2 communicates with the washing machine 1 through the second communication module. The second image acquisition module is used to capture images of the objects being cleaned. The database stores a large number of images of the objects being cleaned and type information matching the images. The preset model is used to identify the images of the objects being cleaned in order to identify the type information of the objects being cleaned. The second control module is used to selectively send preset information to the washing machine 1 based on the identification results of the images of the objects being cleaned.

[0042] Preferably, the preset model can be a ResNet18 model, a ResNet50 model, a ResNet101 model, or other models. Regardless of the model used, as long as it can analyze the image of the object to be cleaned to determine the type information of the object, it is acceptable. It should be noted that although the preset models and deep learning models listed above are not the same, in practical applications, the preset model and the deep learning model can also be set to the same model, and this invention does not impose any restrictions on this.

[0043] Preferably, the first communication module and the second communication module can be, but are not limited to, a Bluetooth module, a WiFi module, an NFC module, a ZigBee module, etc.

[0044] Preferably, the first image acquisition module and the second image acquisition module can be, but are not limited to, a camera or a camera.

[0045] Preferably, in terms of physical form, the first control module and the second control module can be any type of controller, such as a programmable controller, a combinational logic controller, etc.

[0046] It should be noted that the specific structure and operating principle of the washing machine 1 and the robot vacuum cleaner 2 are common knowledge in this field and will not be described in detail here.

[0047] The following reference Figure 2 The present invention describes a control method for a smart home system. Figure 2 This is the flow chart of the control method of the present invention. Figure 1 .

[0048] like Figure 2 As shown, the control method for a smart home system of the present invention includes the following steps:

[0049] S100, the robot vacuum cleaner obtains information about the type of object being cleaned;

[0050] S200. Based on the type information, the robot vacuum cleaner selectively sends preset information to the washing machine;

[0051] S300: When the washing machine receives preset information, the washing machine obtains the current season;

[0052] S400: Depending on the current season, the washing machine selectively sends a prompt message to remind the user to select a pre-treatment function for lint removal.

[0053] The types of items to be cleaned include hair, lint, animal hair, paper scraps, dust, lids, plastic bottles, and vegetable leaves.

[0054] The current season can be spring, summer, autumn, or winter. Animals shed differently in different seasons. For example, in spring, animals molt and shed a lot of fur, while in summer, autumn, and winter, molting is complete or has not yet begun, resulting in significantly less shedding.

[0055] Refer to the following Figure 3 The control method for acquiring the type information of the object being cleaned according to the present invention is described. Wherein, Figure 3 This is a flowchart of the control method for obtaining the type information of the object being cleaned according to the present invention.

[0056] like Figure 3 As shown, step S100, the step of "the robot vacuum cleaner obtaining the type information of the object being cleaned" specifically includes:

[0057] S111, The robotic vacuum cleaner acquires images of the objects being cleaned;

[0058] S112. The robot vacuum cleaner determines the type information based on the image.

[0059] In step S111, the robot vacuum cleaner captures images of the objects being cleaned using a second image acquisition module, such as a camera or a video camera.

[0060] In step S112, the step of "the robot vacuum cleaner determining type information based on the image" specifically includes:

[0061] The robotic vacuum cleaner retrieves type information from a database that matches the images. Specifically, the robotic vacuum cleaner compares the image of the object to be cleaned with all image information stored in the database, determines the type information that matches the image of the object to be cleaned based on the comparison results, and uses the determined type information as the type information of the object to be cleaned.

[0062] Alternatively, step S112, "the robot vacuum cleaner determines the type information based on the image," specifically includes:

[0063] The robot vacuum cleaner uses a preset model to recognize the image and identify the type information.

[0064] Taking the ResNet18 model as an example, the robotic vacuum cleaner uses the ResNet18 model to identify images of the objects being cleaned. Based on the identification results, the robot determines the type information of the objects being cleaned. It should be noted that the calculation method and operating principle of the ResNet18 model are common knowledge in the field and will not be elaborated upon here. Of course, other models such as the ResNet50 model and the ResNet101 model can also be used to analyze images of the objects being cleaned to determine their type information.

[0065] The following reference Figure 4 and Figure 5 The present invention describes a control method for a robotic vacuum cleaner to selectively send preset information to a washing machine. Wherein, Figure 4 This is the flow chart of the control method of the present invention. Figure 2 ; Figure 5 This is a flowchart of the control method for selectively sending preset information to a washing machine according to the present invention.

[0066] like Figure 4 As shown, step S200, "based on type information, the robot vacuum selectively sends preset information to the washing machine," specifically includes:

[0067] S211. Based on type information, the robot vacuum cleaner determines whether there are pets in the preset area;

[0068] S212. Based on the judgment result, the robot vacuum cleaner selectively sends the judgment result of the preset location having pets to the washing machine.

[0069] The preset locations include, but are not limited to, the user's home, dormitory, sanatorium, guesthouse, and other environments where the user resides. The following example, the user's home, will be used to further illustrate this.

[0070] In step S211, if the type of the object to be cleaned determined in step S100 includes animal hair, it is determined that the user has pets at home, such as cats or dogs; if the type of the object to be cleaned determined in step S100 does not include animal hair, it is determined that the user does not have pets at home.

[0071] like Figure 5 In step S212, the step of "based on the judgment result, the robot vacuum selectively sends the judgment result of the presence of pets in the preset location to the washing machine" specifically includes:

[0072] S221. If there are pets in the preset area, the robot vacuum cleaner sends the judgment result that there are pets in the preset area to the washing machine.

[0073] S222. If there are no pets in the preset location, the robot vacuum cleaner will not send a judgment result.

[0074] In step S221, if the user has pets at home, such as cats or dogs, the pets will shed a lot of fur, resulting in a lot of fur and lint adhering to the user's clothes. In order to improve the cleaning effect of the clothes, the robot vacuum cleaner sends the judgment result of the preset location having pets to the washing machine, so that the washing machine can promptly prompt the user to select the pre-treatment function for removing lint, thereby removing the fur and lint adhering to the clothes and improving the washing effect.

[0075] Preferably, the robot vacuum cleaner can send prompts to the washing machine using voice, text, images, or other means.

[0076] In step S222, if the user has no pets at home and there is little lint or dander on the user's clothes, and there is no need to pre-treat the clothes for lint, the robot vacuum cleaner will not send any other preset information such as the judgment result.

[0077] It should be noted that the preset information is not limited to the judgment result of having pets in the preset locations listed above. It can also be the type of the object being cleaned, or the message "The washing machine sends a prompt message to the user", and other preset information.

[0078] It should also be noted that in the above process, steps S221 and S222 are not sequential but parallel, and are only related to the judgment result of whether there are pets in the preset location. The corresponding steps can be executed according to different judgment results.

[0079] The following reference Figure 4 , Figures 6 to 8 The present invention describes a control method for obtaining the current season and selectively sending reminder information. Wherein, Figure 6 This is the flow chart of the control method for selectively sending prompt information according to the present invention. Figure 1 ; Figure 7 This is the flow chart of the control method for selectively sending prompt information according to the present invention. Figure 2 ; Figure 8 This is the flow chart of the control method for selectively sending prompt information according to the present invention. Figure 3 .

[0080] like Figure 4 As shown, step S300, "when the washing machine receives preset information, the washing machine obtains the current season," specifically includes:

[0081] S311. The washing machine obtains the current season only when it receives a judgment result indicating that there are pets in the preset location.

[0082] In step S311, the washing machine can obtain the current time through the time module and determine the current season based on the current time. The current time information is in the format of year, month, and day, and the current season can be accurately determined based on the year, month, and day information. For example, if the current time is June 21, 2121, the current season can be determined to be summer; or if the current time is March 28, 2121, the current season can be determined to be spring.

[0083] Alternatively, in an alternative implementation, the washing machine could obtain the current season through a server; whichever method is used, as long as the current season can be obtained, it is acceptable.

[0084] like Figure 6 As shown, step S400, "based on the current season, the washing machine selectively sends a prompt message to prompt the user to select a pre-treatment function for lint removal," specifically includes:

[0085] S411. Determine the category to which the current season belongs;

[0086] S412. Based on the judgment result, the washing machine selectively sends a prompt message to prompt the user to select a pre-treatment function for removing lint.

[0087] The current season is categorized into two types: the first type includes spring, during which animals molt and shed a large amount of fur; the second type includes summer, autumn, and winter, during which animals have finished molting or have not yet started molting, and the amount of fur shed is significantly reduced.

[0088] like Figure 7 As shown, step S412, "based on the judgment result, the washing machine selectively sends a prompt message to prompt the user to select a pre-treatment function for removing lint," specifically includes:

[0089] S421. If the current season is a Category 1 season, the washing machine will send a prompt message each time it starts up to prompt the user to select a pre-treatment function for removing lint.

[0090] S422. If the current season belongs to the second category of seasons, the washing machine will determine the material of the clothes.

[0091] S423. Based on the material, the washing machine determines whether clothes are prone to attracting lint;

[0092] S424. Based on the judgment result, the washing machine selectively sends a prompt message to prompt the user to select a pre-treatment function for removing lint.

[0093] In step S421, if the current season belongs to the first category of seasons, it means that the current season is spring. During this season, the pets in the user's home are shedding their fur, and the shedding is very serious. Therefore, it can be assumed that there is a lot of dander on the user's clothes. In order to improve the washing effect of the clothes, the washing machine sends a prompt message every time it starts to prompt the user to select the pre-treatment function for removing dander.

[0094] Furthermore, prompts can be sent in the form of voice, lights, sounds, and images.

[0095] In step S422, if the current season belongs to the second category of seasons, it means that the current season is summer, autumn or winter. During this season, the pets in the user's home have finished molting or have not yet started molting, and the amount of shedding is greatly reduced. Therefore, it can be assumed that there is less lint on the user's clothes, especially for clothes made of materials that are not prone to static electricity, such as polyester fiber. Lint is even less likely to adhere to such clothes, so there is no need to pre-treat such clothes for lint. In order to accurately determine whether to send a prompt message, the material of the clothes is obtained so as to determine whether to send a prompt message based on the material of the clothes.

[0096] Furthermore, the washing machine can capture images of the clothes using a camera or other image acquisition module. The washing machine then uses a CNN model to identify the material of the clothes from these images. It should be noted that the calculation methods and operating principles of CNN models are common knowledge in the field and will not be elaborated upon here. Of course, other models such as DeeplabV3+, ResNeXt, and HRNet can also be used to analyze the images of the clothes to determine their material.

[0097] Alternatively, the washing machine can use a material sensor to detect the material of the clothes.

[0098] Of course, the methods for obtaining the material of clothing are not limited to the two methods listed above. You can also scan the RFID tag of the clothing through the RFID identification module set on the washing machine. The washing machine determines the material of the clothing based on the identification result of the RFID identification module. The RFID tag of the clothing contains information such as the material, color, type, and washing method of the clothing.

[0099] like Figure 8 As shown, step S423, "based on material, the washing machine determines whether the clothes are prone to attracting lint," specifically includes:

[0100] S431. Determine whether the material belongs to the preset material; if yes, proceed to step S442; if no, proceed to step S443.

[0101] S432. The washing machine determines that clothes are prone to attracting lint.

[0102] S433, The washing machine determines that clothes are not prone to lint.

[0103] The preset materials include, but are not limited to, materials that are prone to static electricity and dust accumulation, such as chemical fibers, polyester, denim, cotton, wool, and cotton fabric. Conversely, materials such as polyester fiber, twill, polyester, linen, sulfurized cotton, silk, satin, and modal are less prone to static electricity and dust accumulation.

[0104] In step S432, for example, if the material of the clothing is synthetic fiber, which belongs to the materials listed above that are prone to static electricity and dust, it means that the clothing is prone to static electricity and dust. Therefore, it can be determined that clothing made of this material is prone to attracting lint.

[0105] In step S433, for example, if the material of the clothing is silk, it does not belong to the materials listed above that are prone to static electricity and dust accumulation, but belongs to the materials listed above that are not prone to static electricity and dust accumulation. This means that the clothing is not prone to static electricity and dust accumulation. Therefore, it can be determined that the clothing made of this material is not prone to attracting lint.

[0106] Continue reading Figure 8 In step S424, the step of "based on the judgment result, the washing machine selectively sends a prompt message to prompt the user to select a pre-treatment function for removing lint" specifically includes:

[0107] S441. When it is determined that the clothes are prone to attracting lint, the washing machine sends a prompt message to prompt the user to select a pre-treatment function for removing lint.

[0108] S442. If the washing machine determines that the clothes are not likely to attract lint, it will not send a notification message.

[0109] In step S441, when it is determined that the clothes are prone to attracting lint, even if the current season is summer, autumn or winter, and the pets in the user's home have finished molting or have not yet started molting, and the amount of shedding is greatly reduced, the bedding, clothes and other items used by people will still generate a lot of lint, and the user will also shed hair. In addition, because the material of the clothes is prone to static electricity and attracts dust, the aforementioned lint and lint will still adhere to the clothes in large quantities. It is necessary to pre-treat the clothes for lint. Therefore, the washing machine sends a prompt message to remind the user to select the pre-treatment function for removing lint.

[0110] Furthermore, prompts can be sent in the form of voice, lights, sounds, and images.

[0111] In step S442, if it is determined that the clothes are not prone to attracting lint, and the current season is summer, autumn, or winter, and the pets in the user's home have finished molting or have not yet started molting, the amount of shedding is greatly reduced. Although the bedding and clothes used by people will also generate a lot of lint, and although the user will also shed hair, because the material of the clothes is not prone to static electricity and does not attract dust, the aforementioned lint and lint will not adhere to the clothes. There is no need to pre-treat the clothes for lint, so the washing machine does not send a prompt message.

[0112] In the above process, when the user selects the pre-processing function, the specific execution method of the pre-processing function is as follows: The washing machine detects the washing water level and determines whether the washing water level is greater than the preset water level. If so, it means there are many clothes. After the washing machine fills with water to the washing water level, it uses the first water flow intensity to wash for the first time (e.g., 2 minutes) to remove the lint attached to the clothes. After the first washing operation is performed, water continues to be filled to the overflow water level. During the continued water filling process, the second water flow intensity is used for washing. After the washing machine fills with water to the overflow water level, water continues to be filled for a second time (e.g., 1 minute) and then water filling stops so that the removed lint can be discharged from the overflow outlet, thereby achieving the purpose of removing lint. Then, the washing machine drains water to the washing water level, detergent is added, and the washing operation is performed.

[0113] If not, it means there are few clothes. After the washing machine is filled with water to the washing level, use the third water flow intensity for the third time (e.g., 1.5 minutes) to wash and remove lint attached to the clothes. After the third washing time, start the washing machine to drain and simultaneously open the water inlet valve for a fourth rinsing time (e.g., 2.5 minutes) to flush the removed lint out of the washing tub, thus achieving the purpose of lint removal. After the washing machine drains and rinses for the fourth time, stop draining and stop filling the water. Refill the washing machine with water to the washing level, add detergent, and start the washing operation.

[0114] The preset water level can be six, seven, or eight, or other water levels, and those skilled in the art can flexibly adjust and set the preset water level. The overflow water level is higher than the maximum washing water level, for example, one water level higher than the maximum washing water level. Regardless of how the overflow water level is set, it is acceptable as long as the washing water can overflow.

[0115] The first water flow intensity is greater than the third water flow intensity; for example, the switching ratio of the first water flow intensity is 2.0 / 0.8, and the switching ratio of the third water flow intensity is 1.6 / 0.8. This allows for effective removal of lint and debris from clothing, especially when there are many garments. The second water flow intensity is less than the first water flow intensity; for example, the switching ratio of the second water flow intensity is 1.0 / 0.8. This prevents lint and debris floating in the water from re-adhering to the clothing.

[0116] It should be noted that the first time, second time, third time, fourth time, first water flow intensity, second water flow intensity, and third water flow intensity listed above are merely illustrative and not restrictive. In practical applications, those skilled in the art can flexibly adjust and set the first time, second time, third time, fourth time, first water flow intensity, second water flow intensity, and third water flow intensity according to the amount of lint, the quantity of clothing, the washing water level, etc.

[0117] It should also be noted that in the above process, steps S421 and S422 are parallel and have no sequential order. They are only related to the judgment result of the current season category, and the corresponding steps are executed according to different judgment results. Steps S432 and S433 are parallel and have no sequential order. They are only related to the judgment result of whether the material belongs to the preset material, and the corresponding steps are executed according to different judgment results. Steps S441 and S442 are parallel and have no sequential order. They are only related to the judgment result of whether the clothing is prone to attracting lint, and the corresponding steps are executed according to different judgment results.

[0118] Refer to the following Figure 9 This paper describes one possible control flow of the present invention. Figure 9 This is a logic diagram of the control method of the present invention.

[0119] like Figure 9 As shown, a possible complete flow of the control method of the present invention is as follows:

[0120] S501, the robotic vacuum cleaner acquires images of the objects being cleaned;

[0121] S502, the robotic vacuum cleaner determines its type information based on the image;

[0122] S503. Based on the type information, the robot vacuum cleaner determines whether there is a pet in the preset area; if so, proceed to step S504; if not, proceed to step S505.

[0123] S504, The robot vacuum cleaner sends the result of the preset location's pet detection to the washing machine;

[0124] S505, the robot vacuum cleaner does not send the judgment result;

[0125] If the washing machine receives a judgment result indicating that there are pets in the preset location, step S506 is executed;

[0126] S506, Washing machine retrieves the current season;

[0127] S507. Determine the category to which the current season belongs;

[0128] If the current season belongs to the first category of seasons, the washing machine will execute step S511 every time it starts up;

[0129] If the current season belongs to the second category of seasons, then proceed to step S508;

[0130] S508, The material of the clothes picked up by the washing machine;

[0131] S509. Determine whether the material belongs to the preset material; if yes, proceed to step S510; if no, proceed to step S512.

[0132] S510. The washing machine determines that the clothes are prone to attracting lint; if the clothes are determined to be prone to attracting lint, proceed to step S511.

[0133] S511. The washing machine sends a prompt message to remind the user to select a pre-treatment function for lint removal;

[0134] S512. The washing machine determines that the clothes are not prone to attracting lint; if the clothes are determined to be not prone to attracting lint, proceed to step S513.

[0135] S513, The washing machine does not send notification messages.

[0136] It should be noted that the above embodiments are merely preferred embodiments of the present invention, used only to illustrate the principle of the method of the present invention, and are not intended to limit the scope of protection of the present invention. In practical applications, those skilled in the art can allocate the above functions to different steps as needed, that is, further decompose or combine the steps in the embodiments of the present invention. For example, the steps in the above embodiments can be combined into one step, or further divided into multiple sub-steps to complete all or part of the functions described above. The names of the steps involved in the embodiments of the present invention are merely for distinguishing the various steps and are not considered as limitations on the present invention.

[0137] 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 control method for a smart home system, characterized in that, The smart home system includes a washing machine and a robot vacuum cleaner, and the washing machine is able to communicate with the robot vacuum cleaner. The control method includes the following steps: The sweeping robot acquires information about the type of the object being cleaned; Based on the type information, the sweeping robot selectively sends preset information to the washing device; When the washing equipment receives the preset information, the washing equipment obtains the current season; Depending on the current season, the washing equipment may choose whether to send a prompt message to remind the user to select a pre-treatment function for removing lint, in order to remove lint attached to the clothes. The step of "selectively sending preset information to the washing device based on the type information" specifically includes: Based on the type information, the robot vacuum cleaner determines whether there are pets in the preset location; Based on the judgment result, the sweeping robot selectively sends the judgment result of the preset place having pets to the washing equipment; The step of "based on the judgment result, the sweeping robot selectively sends the judgment result of the preset location having pets to the washing equipment" specifically includes: If there are pets in the preset area, the robot vacuum cleaner sends the determination result that there are pets in the preset area to the washing device; and / or If there are no pets in the preset location, the robot vacuum cleaner will not send a judgment result.

2. The control method according to claim 1, characterized in that, The step of "when the washing equipment receives the preset information, the washing equipment obtains the current season" specifically includes: The washing device only acquires the current season when it receives a determination result indicating that there are pets in the preset location.

3. The control method according to any one of claims 1 to 2, characterized in that, The step of "selecting whether to send a prompt message to the user to select a pre-treatment function for dander removal based on the current season" specifically includes: Determine the category to which the current season belongs; Based on the judgment result, the washing device may choose whether to send a prompt message to prompt the user to select a pre-treatment function for removing dander.

4. The control method according to claim 3, characterized in that, The step of "based on the judgment result, the washing device selects whether to send a prompt message to prompt the user to select the pre-treatment function for removing dander" specifically includes: If the current season belongs to the first category of seasons, the washing equipment will send a prompt message each time it is started to prompt the user to select the pretreatment function for removing dander.

5. The control method according to claim 3, characterized in that, The step of "based on the judgment result, the washing device selects whether to send a prompt message to prompt the user to select the pre-treatment function for removing dander" further includes: If the current season belongs to the second type of season, the washing equipment obtains the material of the clothing; Based on the material, the washing equipment determines whether the clothing is prone to attracting lint; Based on the judgment result, the washing device may choose whether to send a prompt message to prompt the user to select a pre-treatment function for removing dander.

6. The control method according to claim 5, characterized in that, The step of "determining whether the garment is prone to attracting lint based on the material" specifically includes: Determine whether the material belongs to the preset material; If the material is one of the preset materials, the washing equipment determines that the garment is prone to attracting lint; and / or If the material is not one of the preset materials, the washing equipment determines that the garment is not prone to attracting lint.

7. The control method according to claim 6, characterized in that, The step of "based on the judgment result, the washing device selects whether to send a prompt message to prompt the user to select the pre-treatment function for removing dander" specifically includes: If the washing equipment determines that the garment is prone to attracting lint, it sends a prompt message to the user to select a pre-treatment function for lint removal; and / or If the washing equipment determines that the garment is not prone to attracting lint, it will not send a notification message.

8. The control method according to claim 1, characterized in that, The steps of "the robotic vacuum cleaner acquiring information about the type of object being cleaned" specifically include: The robotic vacuum cleaner acquires an image of the object being cleaned; The robotic vacuum cleaner determines the type information based on the image.

9. The control method according to claim 8, characterized in that, The sweeping robot has a database or a preset model; The step of "the robotic vacuum cleaner determining the type information based on the image" specifically includes: The robotic vacuum cleaner retrieves the type information matching the image from the database based on the image; or The robotic vacuum cleaner uses the preset model to recognize the image and identifies the type information.

Citation Information

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