Clothes processing equipment control method, clothes processing equipment and computer readable storage medium

Abstract

The invention provides a control method of clothes processing equipment, the clothes processing equipment and a computer readable storage medium, and the method comprises the steps: obtaining the environment data of the environment in real time in the operation process of the clothes processing equipment, and judging whether the data reach or exceed a preset threshold value or not according to the data, therefore, the target disinfection strategy and / or the odor removal strategy are / is triggered automatically. Specifically, when environmental data meet a threshold value, a series of disinfection and peculiar smell removal control strategies can be operated to effectively deal with the problems of bacterium breeding and peculiar smell caused by an environment with relatively high humidity. By means of the method, the clothes processing equipment can automatically adjust and execute more accurate disinfection and peculiar smell removal measures under the environment conditions of high humidity and appropriate temperature, and the problem that a traditional clothes dryer or a washing machine with a clothes drying function is poor in peculiar smell removal effect under the high-humidity environment is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing processing equipment, and in particular to a control method of clothing processing equipment, clothing processing equipment and a computer-readable storage medium. Background Art

[0002] A clothes dryer is a household appliance used to quickly dry wet clothes. It heats the air and uses a fan to help accelerate the evaporation of moisture, so that the moisture in the wet clothes evaporates and is discharged, thereby achieving the purpose of drying clothes.

[0003] In the prior art, clothes dryers or washing machines with a clothes drying function have the technical problem of insufficient odor elimination effect. Summary of the invention

[0004] The purpose of the present invention is to overcome the above-mentioned technical deficiencies and provide a control method for a clothing processing device, a clothing processing device and a computer-readable storage medium to solve the technical problem in the related art that a dryer or a washing machine with a drying function has an insufficient odor elimination effect.

[0005] In order to achieve the above technical objectives, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for controlling a laundry processing device, the method comprising: Acquiring environmental data during the processing of the processed object; wherein the environmental data is environmental data of the environment in which the clothing processing device is located; Determine whether the environmental data is greater than or equal to a preset environmental data threshold; wherein the environmental data threshold is a threshold that indicates that the current environment is prone to breeding bacteria; When the environmental data value is greater than or equal to a preset threshold, a preset target disinfection strategy and / or a target odor removal strategy is executed to remove odors that may be carried by the treated object.

[0006] In a second aspect, the present invention provides a clothes processing device, comprising: a memory, and one or more processors communicatively coupled to the memory; The memory stores instructions that can be executed by the one or more processors. The instructions are executed by the one or more processors to enable the one or more processors to implement the above method.

[0007] In a third aspect, the present invention provides a computer-readable storage medium, wherein the computer program is stored in the computer-readable storage medium, and the computer program implements the above method when executed by a processor.

[0008] Beneficial effects: The present invention obtains the environmental data of the environment in real time during the operation of the clothing processing device, and determines whether the preset threshold is reached or exceeded based on the data, thereby automatically triggering the target disinfection strategy and / or odor removal strategy. Specifically, when the environmental data meets the threshold, a series of disinfection and odor removal control strategies will be run to effectively deal with the bacteria breeding and odor problems caused by the high humidity environment. Through this method, the clothing processing device can automatically adjust and execute more accurate disinfection and odor removal measures under environmental conditions with high humidity and suitable temperature, solving the problem that traditional dryers or washing machines with drying functions are not effective in eliminating odors in high humidity environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 is a flow chart of a control side of a clothes processing device provided by an embodiment of the present invention; Figure 2 is a block diagram of a clothes processing device provided by an embodiment of the present invention; Figure 3 is a flow chart of a control side of a clothes processing device provided by an embodiment of the present invention; Figure 4 It is a block diagram of an electronic device used in an embodiment of the present invention. DETAILED DESCRIPTION

[0010] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0011] In the related art, clothes dryers and washing machines with drying functions usually perform drying, sterilization and deodorization tasks through a fixed set of processes. These devices generally rely on preset programs to adjust temperature and wind speed. Traditional clothes dryers promote water evaporation by heating air, and fans are used to help accelerate the dissipation of moisture, thereby achieving the purpose of drying clothes. At the same time, modern clothes dryers and washing machines also integrate sterilization and deodorization functions, which are often achieved through built-in disinfectants. However, in these devices, the design of sterilization and deodorization functions often has limitations, especially under high temperature and high humidity environmental conditions. The root cause of these problems is that the disinfection and deodorization strategies in the prior art are usually fixed, and the influence of environmental humidity and temperature changes is not considered, resulting in these devices being unable to provide sufficient deodorization and disinfection effects under certain specific environmental conditions.

[0012] Specifically, clothes dryers and washing machines with clothes drying functions usually perform drying, sterilization and deodorization tasks through a fixed set of processes. These devices generally rely on preset programs to adjust temperature and wind speed. Traditional clothes dryers promote water evaporation by heating air, and fans are used to help accelerate the dissipation of moisture, thereby achieving the purpose of drying clothes. At the same time, clothes dryers and washing machines also integrate sterilization and deodorization functions, which are often achieved through built-in disinfectants. In these devices, the strategies for sterilization and deodorization are often unified, whether in low humidity environments in winter or high humidity and high temperature environments in summer, the strategies used by the devices are basically the same. However, changes in humidity and temperature have a significant impact on the growth of bacteria and mold on clothes. Especially in the rainy season or in the case of heavy humidity in summer, traditional clothes drying equipment has not adjusted its working strategy according to these changes, resulting in unsatisfactory deodorization and disinfection effects of the equipment in high temperature and high humidity environments. For example, in the rainy season, due to excessive humidity, clothes have not been dried for a long time, and bacteria and mold can easily grow on the surface of clothes, causing odor. However, the existing clothes dryer equipment does not have any special disinfection or deodorization functions in this case. This is because the sterilization and deodorization strategies of traditional equipment are usually preset and will not be flexibly adjusted according to the real-time changes in humidity and temperature. Therefore, in the prior art, the disinfection and deodorization strategies of dryers and washing machines are usually fixed, and the strategies implemented by the equipment are not dynamically adjusted according to environmental changes, whether in low humidity environments in winter or high humidity environments in summer. This results in the equipment being unable to effectively deal with the problems of bacteria growth and odor caused by excessive temperature and humidity in high humidity environments, especially in the rainy season and high temperature and high humidity in summer.

[0013] In summary, in the related art, the dryer or washing machine with a drying function has the technical problem that the odor elimination effect is not good enough.

[0014] like Figure 1 As shown, this embodiment provides a control method for a clothes processing device. The execution subject of the control method may be a control device of the clothes processing device. The method may include: Step S12: Acquire environmental data during the process of processing the processed object; wherein the environmental data is environmental data of the environment in which the clothing processing device is located.

[0015] In this embodiment, the processed object is the object processed by the clothing processing equipment, for example, it can be clothing (winter clothing, summer clothing, thin clothing, multi-layer thick clothing, etc.), it can be bedding (sheets, quilt covers, pillows, mattress covers, etc.), it can be household fabrics (sofa covers, cushions, carpets, etc.), and it can also be pet supplies and kitchen supplies.

[0016] In this embodiment, the clothing processing device may be a washing machine, a dryer, a washer-dryer, a clothing disinfector, a pet supplies cleaning device, and the like.

[0017] In this embodiment, the process of the processed object being processed may be a process of the processed object being cleaned (for example, clothes being washed by a washing machine), a process of the processed object being dried (for example, clothes being dried), and so on.

[0018] In this implementation, the environmental data may be environmental humidity data, environmental temperature data, environmental lighting data, and the like.

[0019] In some embodiments, the environmental data may also be microorganism concentration data, oxygen concentration data, etc. in the environment.

[0020] In this embodiment, the environmental data is environmental data of the environment in which the clothes processing device is located. Specifically, the environment may be environmental data of the room in which the clothes processing device is located. For example, it may be environmental temperature data in the room. The environment may also be environmental data of the area in which the clothes processing device is located. For example, it may be local average environmental temperature data (weather forecast data).

[0021] In this embodiment, the control device of the clothing processing equipment may be a DSP, an MCU, a PLC, an FPGA, an embedded microprocessor, and the like.

[0022] In this implementation, the action of obtaining environmental data may be: The control device sends a data acquisition request to the environmental data acquisition device that is in communication with it.

[0023] Receive environmental data sent by environmental data collection equipment.

[0024] Specifically, the environmental data acquisition device can be configured as a temperature detector and a humidity detector outside the clothing processing device. The environmental data acquisition may not be directly set inside or outside the clothing processing device. For example, the environmental data acquisition may be a data acquisition terminal of a smart home. More specifically, the data acquisition terminal of a smart home may be a smart home environment monitoring terminal. It can be understood that the smart home environment monitoring terminal integrates a variety of sensors and can monitor multiple parameters of the indoor environment in real time, including temperature, humidity, air quality, light intensity, etc. The smart home environment monitoring terminal can communicate with the control system of the clothing processing device through a wireless protocol (Wi-Fi, Bluetooth, Zigbee, etc.) to provide it with real-time environmental data. The data acquisition terminal of the smart home may be a smart home gateway device. The data acquisition terminal of the smart home may be a mobile device (smartphone, tablet computer). The data acquisition terminal of the smart home may also be an intelligent sensor module.

[0025] Step S14: Determine whether the environmental data is greater than or equal to a preset environmental data threshold; wherein the environmental data threshold is a threshold that indicates that the current environment is prone to breeding bacteria.

[0026] In this embodiment, the environmental data threshold may include an environmental temperature threshold and an environmental humidity threshold, and may also include an environmental light threshold, an environmental microorganism concentration threshold, or an oxygen concentration threshold.

[0027] Specifically, it is understood that the ambient temperature has a direct impact on the growth of microorganisms. Too high or too low a temperature will inhibit the growth of certain bacteria and molds, while when the temperature is suitable, bacteria and molds are easy to reproduce. The ambient temperature threshold is usually set as a temperature range. When the ambient temperature exceeds the threshold, the clothing treatment device can determine that the environment is a condition that is easy to breed bacteria. For example, in a hot and humid environment (summer), when the temperature is higher than 30°C, it may cause the reproduction of microorganisms such as mold and bacteria. In a cold environment, when the temperature is lower than 5°C, the growth of bacteria and mold will be significantly slowed down. Ambient humidity is another important factor affecting the reproduction of microorganisms. Excessive humidity will cause the moisture in the air to provide conditions for the growth of bacteria and mold. The ambient humidity threshold can indicate that when the humidity reaches a certain critical point, there is too much moisture in the environment, which is suitable for the growth of microorganisms. For example, when the humidity is greater than 70%, microorganisms such as mold will reproduce rapidly, causing the clothes to become moldy and the odor to increase.

[0028] It is also understandable that lighting conditions will also affect the growth of microorganisms. Although many bacteria and molds prefer to reproduce in dark and humid environments, the growth of some light-sensitive microorganisms (such as mold) will be inhibited under a certain intensity of ultraviolet light. The ambient light threshold is used to indicate that when the ambient light intensity reaches a certain standard, the reproduction of microorganisms will be inhibited or accelerated. The environmental microbial concentration threshold refers to the number or concentration of microorganisms in the environment. When the concentration of bacteria or mold in the environment exceeds this threshold, the clothing processing equipment can determine that the environment is already at a high risk of bacterial growth and needs to be disinfected or deodorized.

[0029] It is also understood that oxygen concentration plays an important role in the activity and growth of microorganisms, especially in the growth of anaerobic bacteria (e.g., certain pathogens and molds). The oxygen concentration threshold can be set such that when the oxygen concentration in the environment is lower than a certain value, the growth of certain microorganisms may be promoted.

[0030] In this embodiment, the step of determining whether the environmental data is greater than or equal to a preset environmental data threshold value may be to determine whether one of the environmental data (for example, environmental humidity data) is greater than or equal to a corresponding environmental data threshold value (for example, an environmental humidity threshold value). As long as one of the environmental data is greater than or equal to the corresponding environmental data threshold value, the subsequent processing flow may be triggered.

[0031] In this embodiment, the step of determining whether the environmental data is greater than or equal to a preset environmental data threshold may also be the step of determining whether all environmental data in the environmental data is greater than or equal to a corresponding environmental data threshold. Only when all environmental data are greater than or equal to a corresponding environmental data threshold can the subsequent processing flow be triggered.

[0032] In this embodiment, the step of determining whether the environmental data is greater than or equal to a preset environmental data threshold value may also be to determine whether part of the environmental data in the environmental data is greater than or equal to a corresponding environmental data threshold value, and as long as part of the environmental data is greater than or equal to the corresponding environmental data threshold value, the subsequent processing flow may be triggered.

[0033] Step S16: When the environmental data value is greater than or equal to a preset threshold value, a preset target disinfection strategy and / or a target odor removal strategy is executed to remove odors that may be carried by the treated object.

[0034] As described above, in the case of being greater than or equal to the preset environmental data threshold, it can be that one of the environmental data is greater than or equal to the preset environmental data threshold, or that multiple of the environmental data is greater than or equal to the preset environmental data threshold, or that all of the environmental data is greater than or equal to the preset environmental data threshold. For example, when both the ambient temperature and humidity data reach or exceed the corresponding preset thresholds, the clothing processing device can automatically determine that the environment is under high humidity and high temperature conditions, which is prone to the growth of bacteria or mold, and then initiate the corresponding disinfection or deodorization strategy.

[0035] Specifically, in the rainy season or similar high-humidity and high-temperature environments (such as summer in the middle and lower reaches of the Yangtze River), air humidity usually reaches a high level. In such an environment, if clothes are not washed for a long time or not dried in time, it is very easy to breed bacteria or mold, and then produce odor. Although the clothing processing equipment in the related art is also equipped with a sterilization or deodorization strategy, in such a high-temperature and high-humidity environment, a fixed sterilization or deodorization strategy is often difficult to completely remove the odor on the clothes. Especially in a humid environment, harmful microorganisms such as bacteria and molds multiply rapidly, and traditional dryers cannot effectively eliminate the odor or bacteria on the clothes, resulting in poor user experience. Moreover, in a high-humidity environment, especially in the case of heavy humidity in summer, many users will choose to wash multiple pieces of clothing together and dry them together, thinking that this can improve efficiency and save energy. Although this approach is effective in some cases, the accumulation of multiple clothes in a high-humidity environment will aggravate the accumulation of moisture, resulting in the inability to completely remove the moisture between the clothes, forming a humid environment, and further promoting the growth of bacteria.

[0036] In this embodiment, the operation of the preset target disinfection strategy and / or target odor removal strategy may be the operation of the preset target disinfection strategy, the operation of the target odor removal strategy, or the operation of both the target disinfection strategy and the target odor removal strategy.

[0037] In this embodiment, the target disinfection strategy or the target odor removal strategy may be preset for situations where the environmental data threshold is greater than or equal to a preset threshold (for example, in the summer with high temperature and high humidity, in which case clothes often have a heavier odor).

[0038] The preset target disinfection strategy can be the control parameters of the disinfection strategy under normal conditions (for example, in winter, not under high temperature and high humidity conditions).

[0039] Specifically, the preset target disinfection strategy can be a control parameter for strengthening hot air circulation. More specifically, in the high temperature and high humidity environment in summer, the clothing treatment device can increase the wind force, increase air circulation, and help accelerate the evaporation and removal of moisture. This helps prevent bacteria and mold from growing on the surface of clothing.

[0040] The preset target disinfection strategy may be a control parameter for strengthening temperature control. More specifically, in the high temperature and high humidity environment in summer, the clothing treatment device may increase the heating temperature and maintain it in a suitable temperature range (e.g., 60°C-70°C) to kill bacteria and mold without causing damage to the clothing due to excessively high temperatures.

[0041] The preset target disinfection strategy can be a control parameter of the disinfection strategy for strengthening ozone disinfection. More specifically, the amount of ozone generated can be appropriately increased under these environmental conditions to improve its sterilization and deodorization effects. The clothing treatment device can intelligently adjust the amount of ozone generated according to the ambient humidity and temperature. When a stronger disinfection effect is required, the clothing treatment device can also increase the duration of ozone disinfection, especially in an environment with heavy humidity and rapid bacterial growth.

[0042] The preset target disinfection strategy may be a control parameter of a disinfection strategy for strengthening negative ion disinfection. More specifically, in an environment with heavy humidity or where enhanced disinfection effect is required, the clothing treatment device may increase the concentration of negative ions by adjusting the output intensity of the negative ion generator. The clothing treatment device may also adjust the release frequency of negative ions according to different environmental conditions (such as humidity or temperature).

[0043] The preset target disinfection strategy may be a control parameter of a disinfection strategy for strengthening ultraviolet disinfection. More specifically, the clothing treatment device may intelligently adjust the power of the ultraviolet lamp according to the ambient humidity and temperature. For example, in a high humidity and high temperature environment, the ultraviolet irradiation intensity may be appropriately increased to accelerate the killing of bacteria, mold and other microorganisms. The clothing treatment device may intelligently adjust the irradiation time of the ultraviolet lamp according to the ambient humidity and temperature.

[0044] The preset target deodorization strategy may be a control parameter of the deodorization strategy under normal conditions (eg, winter conditions, non-high temperature and high humidity conditions).

[0045] Specifically, the target deodorization strategy may be a control parameter of a deodorization strategy for enhancing fragrance. More specifically, the clothing treatment device may intelligently adjust the spraying amount of the fragrance according to the ambient humidity and temperature. When the temperature is high and the clothes are humid, the clothing treatment device may appropriately increase the release amount of the fragrance to ensure that the fragrance can cover and adsorb more odor molecules. In dry seasons or when the ambient temperature is low, the release amount of the fragrance may be reduced to avoid discomfort caused by excessive fragrance. In order to ensure that the fragrance can evenly penetrate every corner of the clothes, the clothing treatment device may optimize the fan and airflow path to ensure that the fragrance can effectively cover all clothing surfaces and avoid uneven fragrance effects caused by the fragrance being concentrated in certain areas. The clothing treatment device may intelligently select the type of fragrance according to the ambient humidity and temperature. For example, in the case of high temperature and high humidity, a fragrance with a stronger deodorizing ability (such as citrus or fresh fragrance) may be selected. In winter or when bacteria are not easy to breed, a fragrance with a soft floral or fresh herbal fragrance may be selected.

[0046] Specifically, the target deodorization strategy can be a control parameter of ventilation. More specifically, the fan speed can be increased to improve the air circulation rate, thereby helping to accelerate the evaporation of moisture on the surface of clothing and effectively remove odor substances in clothing and air.

[0047] This embodiment obtains the environmental data of the environment in real time during the operation of the clothing processing device, and determines whether the preset humidity threshold is reached or exceeded based on the data, thereby automatically triggering the target disinfection strategy and / or deodorization strategy. Specifically, when the environmental data meets the threshold, a series of disinfection and odor removal control strategies will be run to effectively deal with the bacterial growth and odor problems caused by the high humidity environment. Through this method, the clothing processing device can automatically adjust and implement more accurate disinfection and odor removal measures under environmental conditions with high humidity and suitable temperature, solving the problem that traditional dryers or washing machines with drying functions are not effective in eliminating odors in high humidity environments.

[0048] This embodiment automatically determines whether the current environment is prone to breeding bacteria by real-time monitoring of environmental data (for example, environmental humidity and ambient temperature), and intelligently starts the disinfection and deodorization strategy when the environmental data threshold is reached. This method can accurately start the disinfection and deodorization functions under high humidity conditions, thereby effectively inhibiting the growth of bacteria and mold and eliminating odors on clothes. This solution makes up for the deficiency that traditional clothes drying equipment cannot dynamically adjust according to environmental changes, and significantly improves the deodorization effect during the clothing processing process, especially in high humidity and high temperature environments.

[0049] like Figure 2 As shown, in some embodiments, the step of obtaining environmental data during the processing of the processed object includes: Step S122: Determine positioning information.

[0050] It is understandable that indoor temperature and humidity are often regulated by air conditioners, heaters and other equipment, and may differ greatly from the external environment. Especially in summer, air conditioners usually lower the indoor temperature and reduce humidity, which may cause the indoor environmental data to fail to truly reflect the high temperature and high humidity conditions outside. Therefore, indoor environmental data alone may not trigger the deodorization and disinfection functions of the device, resulting in the accumulation of sweat, bacteria and odors in clothes in high temperature and high humidity environments. By obtaining temperature and humidity data of the external environment based on positioning information, the device can promptly identify the actual local climate conditions. For example, when the external temperature is too high and the humidity is high, the device can actively start the corresponding disinfection and deodorization strategy based on the external environmental data, even if the indoor environment is adjusted to be drier or cooler by the air conditioner. In this way, the device can adjust the working strategy more intelligently to ensure that clothes can effectively remove odors and disinfect in a high temperature and high humidity environment, avoiding unsatisfactory results caused by the mismatch between the indoor environment and the actual external environment.

[0051] In this embodiment, the clothing processing device can determine the positioning information in the following manner. Specifically, the clothing processing device can have a built-in positioning device (GPS module) to determine the geographical location of the clothing processing device by receiving satellite signals. The clothing processing device can also be positioned by Wi-Fi or Bluetooth.

[0052] Step S124: Based on the positioning information, an environmental data acquisition request is sent to the cloud.

[0053] In this embodiment, the control device of the clothing processing device can first parse the positioning information to obtain key information (e.g., longitude and latitude information). Then, a data acquisition request is generated based on the key information and sent to the cloud. The clothing processing device can send an environmental data acquisition request to the cloud via an Internet connection (e.g., Wi-Fi or mobile network). After receiving the request, the cloud server will query the relevant meteorological data source (e.g., weather API) based on the information and return the corresponding environmental data.

[0054] Step S126: Receive environmental data sent by the cloud.

[0055] In this embodiment, by obtaining positioning information and sending environmental data requests to the cloud, the clothing processing device can obtain meteorological data (such as temperature, humidity, etc.) related to the area where the device is located in real time. Unlike the traditional method that only relies on indoor environmental data, this method can accurately reflect changes in the external environment, especially when the indoor environment such as air conditioning is very different from the external climate. By obtaining external environmental data from the cloud, the device can automatically adjust its working strategy according to the actual climate conditions, optimize the disinfection and deodorization functions, thereby improving the adaptability and processing effect of the device in different environments, and ensuring that clothes can be efficiently and accurately cared for in any climate conditions.

[0056] In some embodiments, the environmental data includes environmental temperature data and environmental humidity data, and the environmental data threshold includes an environmental temperature threshold and an environmental humidity threshold; wherein the environmental temperature threshold is a threshold indicating that the temperature of the current environment is prone to breeding bacteria, and the environmental humidity threshold is a threshold indicating that the humidity of the current environment is prone to breeding bacteria; the step of at least determining whether the humidity data is greater than or equal to the humidity threshold includes: Step S142: Determine whether the ambient temperature data is greater than or equal to an ambient temperature threshold, and determine whether the ambient humidity data is greater than or equal to an ambient humidity threshold.

[0057] This implementation combines ambient temperature data and ambient humidity data to set corresponding thresholds to determine whether the current environment is suitable for bacterial growth. When both ambient temperature and humidity exceed the preset thresholds, the clothing treatment device can promptly identify high-risk environments and adopt corresponding disinfection and deodorization strategies. This dual judgment mechanism ensures that when both temperature and humidity conditions are not conducive to bacterial growth, the clothing treatment device can automatically activate stronger disinfection and deodorization functions, thereby effectively preventing the growth of bacteria and mold, and improving the clothing treatment effect, especially in high temperature and high humidity environments, improving the cleanliness and hygiene of clothing.

[0058] In some embodiments, when the environmental data value is greater than or equal to a preset threshold, the step of running a preset target disinfection strategy and / or a target odor removal strategy includes: Step S162: When the ambient temperature data is greater than or equal to the ambient temperature threshold and the ambient humidity data is greater than or equal to the ambient humidity threshold, determine the first indication data and / or the second indication data; wherein the first indication data is data indicating the processing stage of the processed object during the processing, and the second indication data is data indicating the type of the processed object.

[0059] In this embodiment, the processing stage includes a washing stage and a drying stage, and the type of the processed object includes the type of target clothing. Therefore, the first indication data may include indication data indicating that the current processing stage is the washing stage, and the first indication data may include indication data indicating that the current processing stage is the drying stage. The second indication data may include indication data indicating that the processed object is target clothing. The second indication data may also include indication data indicating that the processed object is target household goods. The second indication data may also include indication data indicating that the processed object is target household fabrics. The second indication data may also include indication data indicating that the processed object is target bedding.

[0060] In this embodiment, when the ambient temperature data is greater than or equal to the ambient temperature threshold and the ambient humidity data is greater than or equal to the ambient humidity threshold, the control device may determine the first indication data, may determine the second indication data, or may determine the first indication data and the second indication data at the same time.

[0061] In this embodiment, the processing device can determine the first indication data in the following manner. Specifically, the processing device can determine the current processing stage by a set time period or a task progress bar. For example, the processing device can automatically infer that it is currently in different stages such as washing, drying, disinfection or deodorization by calculating the time from the start of processing to the present. The processing device can detect the state of the processed object through a built-in sensor (for example, a temperature and humidity sensor, a pressure sensor or a gravity sensor). For example, during the drying process, the clothing processing device can detect that the humidity is gradually decreasing, thereby determining that it is currently in the drying stage. If the humidity is high and the temperature is low, it is determined that it may be in the washing or cleaning stage. If the clothing processing device has multiple preset programs, the control device can automatically determine the stage according to the currently running program.

[0062] In this embodiment, the processing device can determine the second indication data in the following manner. Specifically, the processing device can determine the type of the object to be processed by reading the user's selection or input information, and adjust the disinfection and deodorization strategy accordingly. The processing device can determine the type of the object to be processed by sensors built into the clothing processing device (such as weight sensors, size sensors, pressure sensors, etc.). For example, the clothing processing device can estimate the weight of clothing or bedding by weighing, thereby inferring the type of the item (such as heavier bedding or lighter clothing). The processing device can also automatically identify the type of the object to be processed through image recognition technology. For example, a camera can scan the surface and style of clothing, and identify whether it is a shirt, pants, towel or other types of items through image recognition technology.

[0063] Step S164: Based on the first indication data and / or the second indication data, determine a target disinfection strategy from a preset disinfection strategy set and / or determine a target odor removal strategy from a preset odor removal strategy set.

[0064] In this embodiment, the preset disinfection strategy set and deodorization strategy set may preset multiple disinfection strategies and deodorization strategies.

[0065] Specifically, the disinfection strategy set may include: a disinfection strategy for high temperature disinfection, a disinfection strategy for ultraviolet disinfection, a disinfection strategy for ozone disinfection, a disinfection strategy for negative ion disinfection, and the like.

[0066] The deodorization strategy set may include: a deodorization strategy of fragrance deodorization, a deodorization strategy of high temperature air drying, a deodorization strategy of activated carbon adsorption, and the like.

[0067] In this embodiment, the target disinfection strategy can be determined from a preset disinfection strategy set based on the first indication data, or the target deodorization strategy can be determined from a preset deodorization strategy set based on the first indication data. The target disinfection strategy can also be determined from a preset disinfection strategy set based on the first indication data, or the target deodorization strategy can be determined from a preset deodorization strategy set.

[0068] Specifically, in some cases, the control device determines whether the current processing stage is suitable for disinfection by judging the first indication data. For example, when the device recognizes that the current stage is a drying stage or a washing stage, and the temperature and humidity data have exceeded the threshold, it means that the environment is suitable for efficient disinfection. At this time, the control device can select the most suitable disinfection strategy from the preset disinfection strategy set. For example, if the first indication data indicates that the current stage is a drying stage, the ozone disinfection strategy can be selected. In other cases, the control device can determine whether deodorization treatment is required based on the first indication data. For example, in the drying stage, the control device can select a high-temperature air-drying strategy to remove moisture and eliminate odors. In some cases, items may need both disinfection and deodorization. For example, some clothes may accumulate bacteria and produce odors in a humid environment. At this time, the control device can simultaneously select a target disinfection strategy and a target deodorization strategy from the preset disinfection strategy set and the deodorization strategy set based on the first indication data. For example, when the current stage is a drying stage, an ozone disinfection strategy can be selected for disinfection, and a high-temperature air-drying deodorization strategy can be selected to remove odor and moisture.

[0069] In this embodiment, the target disinfection strategy can also be determined from a preset disinfection strategy set based on the second indication data, or the target deodorization strategy can be determined from a preset deodorization strategy set based on the second indication data. The target disinfection strategy can also be determined from a preset disinfection strategy set based on the second indication data, or the target deodorization strategy can be determined from a preset deodorization strategy set.

[0070] Specifically, the control device can select the most suitable disinfection strategy for the type of item according to the type of the object being processed. For example, for thin clothing (such as shirts, T-shirts, etc.), the control device can select the ultraviolet disinfection strategy, because ultraviolet disinfection is relatively mild and suitable for clothing that is not resistant to high temperatures, and can kill bacteria without damaging clothing. The control device can select the most suitable deodorization strategy for the type of item according to the type of the object being processed. For example, for clothing such as sportswear, sweat odor and odor are easily accumulated, so a fragrance deodorization strategy can be selected to cover the odor and increase the fragrance of the clothing. In some cases, the item may need to be disinfected and deodorized at the same time. For example, if the clothing detection device detects that the object being processed is sportswear (which often has sweat odor and bacteria), the control device can first select the ultraviolet disinfection strategy to disinfect the clothing based on the second indication data, and then select the fragrance deodorization strategy to remove the sweat odor and keep the clothing fragrant.

[0071] In this embodiment, the target disinfection strategy can be determined from a preset disinfection strategy set based on the first indication data and the second indication data, or the target deodorization strategy can be determined from a preset deodorization strategy set based on the first indication data and the second indication data. The target disinfection strategy can be determined from a preset disinfection strategy set based on the first indication data and the second indication data, or the target deodorization strategy can be determined from a preset deodorization strategy set.

[0072] Specifically, the clothing treatment device can select the most suitable disinfection strategy in combination with the processing stage and the type of the article. For example, assuming that the current article is in the drying stage (processing stage) and is bedding (item type), the clothing treatment device can select a high temperature disinfection strategy, because bedding usually requires a higher temperature to disinfect, and this stage is suitable for killing bacteria and dust mites by high temperature. If the article is a thin piece of clothing and is in the washing stage, the control device can select an ultraviolet disinfection strategy, because ultraviolet disinfection is suitable for a milder processing stage and will not damage the clothing material. The control device can also select the most suitable deodorization strategy in combination with the processing stage and item type data of the article. For example, if the article is a bed sheet, a quilt cover (item type) and is in the washing stage, an activated carbon adsorption deodorization strategy can be selected, and activated carbon can effectively remove moisture and adsorb odors. In some cases, the article may need both disinfection and deodorization. For example, when the currently processed article is sportswear and the processing stage is the drying stage, a high temperature disinfection strategy can be selected to heat and disinfect the clothing to remove bacteria and microorganisms therein, and a fragrance deodorization strategy can be selected to remove the sweat odor in the sportswear and let the clothing emit a fresh fragrance.

[0073] Step S166: Run the target disinfection strategy and / or the target odor removal strategy.

[0074] In this embodiment, the target disinfection strategy or the target deodorization strategy may be that the control device controls the corresponding device to execute the corresponding strategy based on the control parameters in the corresponding strategy. Specifically, the control device may generate a control instruction for the corresponding device based on the target disinfection strategy or the target deodorization strategy to control the operation of the corresponding device.

[0075] Specifically, if the target disinfection strategy is a high-temperature disinfection strategy, the control device can generate a control instruction according to the strategy parameters (for example, a set temperature value, heating time, etc.). The control instruction can control the heater to operate at a corresponding power and temperature and maintain it within the set time.

[0076] This implementation method intelligently selects and executes the most suitable disinfection and deodorization strategy by combining environmental data (such as temperature and humidity) with the processing stage and type of the processed object. First, the clothing processing equipment can identify high-risk environments based on environmental conditions (temperature and humidity exceeding thresholds), and then customize the selection of disinfection and deodorization strategies based on the current processing stage and object type (such as clothing, bedding, etc.). In this way, the clothing processing equipment can apply the most effective disinfection and deodorization measures for different types of items during different processing processes, thereby improving the processing effect, ensuring that clothing can be fully disinfected and effectively deodorized in a hot and humid environment, and optimizing the user experience.

[0077] like Figure 3 As shown, in some embodiments, the processing stage includes a washing stage and a drying stage, the disinfection strategy set includes at least disinfection strategies of ozone disinfection and negative ion disinfection, and the deodorization strategy set includes at least a deodorization strategy of fragrance enhancement; the step of determining a target disinfection strategy from a preset disinfection strategy set and / or determining a target deodorization strategy from a preset deodorization strategy set based on the first indication data and / or the second indication data includes: Step S1642: When the first indication data indicates that the current processing stage is the laundry stage, ozone disinfection is determined as the target disinfection strategy for the disinfection strategy set.

[0078] In this embodiment, an ozone generator may be configured in a clothing processing device (e.g., a washing machine). It is understood that the ozone generator can convert oxygen in the air into ozone through technologies such as corona discharge. Ozone is a strong oxidant that can effectively kill bacteria, viruses, and mold, clean clothes, and remove odors. For example, during the laundry stage, when the control device (e.g., DSP) identifies that the current stage is laundry based on the first indication data, the control device starts the ozone generator. Ozone enters the washing tank through a pipe and comes into contact with dirt and bacteria in the water, quickly decomposing organic matter and thoroughly disinfecting clothes. After the ozone comes into contact with the clothes, it releases oxygen. After the ozone disinfection process is completed, the ozone in the air will be removed to ensure that the clothes are fresh and odor-free.

[0079] Step S1644: When the first indication data indicates that the current processing stage is the drying stage, negative ion disinfection is determined as the target disinfection strategy for the disinfection strategy set, and fragrance enhancement is determined as the target deodorization strategy for the deodorization strategy set.

[0080] In this embodiment, a negative ion generator may be configured in the clothing processing device (e.g., a washing machine), which generates negative ions by ionizing gas molecules (such as oxygen and moisture) in the air. Negative ions can absorb dust, bacteria and other harmful substances in the air and help neutralize odor molecules. In the drying stage, when the control device recognizes that the current stage is drying, the control device will start the negative ion generator to release negative ions into the air, especially around the surface of the clothing. Negative ions can quickly degrade bacteria and mold in the air, remove odors, and improve the air quality of the drying environment. In addition, a fragrance spraying system may be configured in the clothing processing device (e.g., a washing machine), which may include a fragrance container and a nozzle. A dedicated fragrance liquid or fragrance tablet is stored in the fragrance container. In the drying stage, when the control device detects that the processing stage is drying, the control device controls the fragrance spraying system. The fragrance nozzle sprays fragrance onto the clothing, covers the surface of the clothing and slowly releases the fragrance to enhance the smell of the clothing.

[0081] This implementation optimizes the clothing treatment effect by intelligently selecting appropriate disinfection and deodorization strategies based on the first indication data (such as the treatment stage). In the washing stage, ozone disinfection is selected as the target disinfection strategy to effectively kill bacteria and molds, ensuring that the clothes are deeply disinfected during the washing process; in the drying stage, negative ion disinfection is selected to remove residual bacteria and improve air quality, and at the same time, the fragrance enhancement strategy is combined to ensure that the clothes are not only disinfected during the drying process, but also maintain a fresh fragrance. Through this intelligent decision-making based on the treatment stage and the needs of the items, the device can provide more accurate and efficient disinfection and deodorization treatment, improve the user experience, and ensure the cleanliness, hygiene and comfort of the clothes.

[0082] In some embodiments, the type of the treated object includes the type of target clothing; the disinfection strategy set also includes a high-temperature steam disinfection strategy; the step of determining a target disinfection strategy from a preset disinfection strategy set and / or a target deodorization strategy from a preset deodorization strategy set based on the first indication data and / or the second indication data further includes: When the first indication data indicates that the current processing stage is the drying stage, and when the second indication data indicates that the type of the processed object is the target clothing type, for the disinfection strategy set, the high-temperature steam disinfection strategy is determined as the target disinfection strategy.

[0083] In this embodiment, the target clothing type can be down jackets, thick coats, clothes with multiple layers of fabric, etc. It is understandable that when the type of the treated object is a down jacket, a thick coat, or clothes with multiple layers of fabric, the general disinfection strategy may not be able to thoroughly disinfect and sterilize the above-mentioned types of clothing, so they often still carry odors, affecting the user experience. It is understandable that down jackets are usually composed of outer fabrics and filling down, and the inner down layer is warm, but its multi-layer design makes the ventilation inside the clothing poor. During wearing, sweat and other gases produced by the body are easily accumulated in the inner layer, forming a humid environment suitable for bacteria to grow. After wearing a down jacket for a long time, the inner layer may accumulate a large amount of bacteria, sweat, body odor, etc., forming a difficult-to-remove odor. Traditional cleaning and disinfection methods cannot completely remove these odors and bacteria hidden between the layers. Thick coats (for example, winter coats, wool coats, etc.) usually have a multi-layer fabric and filling design, which makes the air circulation between the inner and outer layers poor, making it difficult to quickly discharge moisture and odor. When wearing clothes, especially in cold and humid environments, the inner layer of clothing easily absorbs and hides sweat, body odor, mold, etc.

[0084] It is understandable that high-temperature steam can quickly penetrate the surface of clothing and penetrate into the internal filling and between the multiple layers of fabric. For multi-layered clothing such as down jackets and thick coats, steam can effectively enter the different layers and remove bacteria, mold and other microorganisms hidden in these layers, while releasing and removing hidden odors. Moreover, high-temperature steam can effectively decompose odor molecules in clothing, especially sweat and moldy odors accumulated during wearing. Steam removes these odor molecules through evaporation, improving the odor of clothing.

[0085] In this embodiment, based on the drying stage and the target clothing type (e.g., down jackets, thick coats, or multi-layered fabric clothing), the high-temperature steam disinfection strategy is selected as the target disinfection strategy because the high-temperature steam can deeply penetrate the multi-layer structure of the clothing, effectively kill the bacteria and mold hidden inside, and remove odors through high temperature. The permeability and high-efficiency sterilization effect of steam make it an ideal choice for processing these complex-structured clothing during the drying stage, ensuring that the clothing is thoroughly disinfected and maintains a fresh smell.

[0086] In some embodiments, the step of determining the first indication data and / or the second indication data includes: Step S1622: parsing the current processing task flow to obtain first indication data; wherein the processing task flow is a task flow pre-set by the clothing processing device for processing the processed object; and / or In this embodiment, the processing task flow is a preset workflow of a clothing processing device (e.g., a washing machine, a dryer, etc.), which may include a series of processing tasks (e.g., washing, rinsing, drying, disinfection, etc.). The process may be arranged according to a program set by a user or preset parameters of the device. The current processing stage may be determined by analyzing the data or status identifier in the current task flow. For example, if the task flow is currently in the "washing" task, the control device may use the "washing stage" as the first indication data; if the task flow is in the "drying" task, the device will use the "drying stage" as the first indication data.

[0087] Step S1624: The image data of the currently processed object is collected through a preset image collection device.

[0088] In this embodiment, the clothes processing device may be equipped with a camera, an optical sensor or other image acquisition device, which can be used to capture image data of the currently processed items. For example, a washing machine or a clothes dryer can capture the appearance of clothes during the processing process through a camera.

[0089] Step S1626: Based on the image data, perform target detection to obtain second indication data.

[0090] In this embodiment, a pre-trained target detection model may be preset in the control device, and the second indication data is obtained by inputting the image data into the target detection model. In this embodiment, the target detection model may be a convolutional neural network, a regional convolutional neural network, a YOLO series target detection model, and the like.

[0091] This implementation method determines the first indication data and the second indication data by combining the processing task flow and image acquisition, and can more accurately identify and process different types of clothing. First, the control device obtains the first indication data by parsing the current processing task flow, so as to understand the current stage of clothing processing (for example, washing, drying, etc.), and then adjust the corresponding disinfection and deodorization strategies. Secondly, through the preset image acquisition device, the image data of the processed object can be collected in real time, and the image can be automatically analyzed through the target detection technology to obtain the second indication data (for example, clothing type), and further determine the targeted processing strategy. This method ensures the efficiency and accuracy of the clothing processing process by integrating task flow and intelligent image recognition, especially in the processing of complex items or multi-layer clothing, effectively improving the intelligence and adaptability of the equipment and optimizing the user experience.

[0092] In some embodiments, when the clothing processing device is a clothes dryer, the step of running a preset target disinfection strategy and / or a target odor removal strategy to remove odors that may be carried by the treated object includes: Based at least on the environmental data, a first control parameter and a second control parameter are determined; wherein the first control parameter is a control parameter representing a fan in the dryer, and the second control parameter is a control parameter representing a heater in the dryer; wherein, the larger the environmental data is, the larger the first control parameter and the second control parameter are.

[0093] In this implementation, the first control parameter and the second control parameter may be determined directly based on the environmental data.

[0094] In this implementation, the first control parameter and the second control parameter may also be jointly determined based on the environmental data and the first indication data and the second indication data.

[0095] In this embodiment, the first control parameter and the second control parameter can also be determined based on the current operation mode of the laundry processing device (e.g., dryer) and environmental data. For example, in a specific embodiment, the first control parameter and the second control parameter can be determined by the following method.

[0096] When the humidity range is 85%-100%; In summer mode, clothes are thinner in summer, and the fan runs at the set maximum speed, with the heater running at 60% power. This can achieve the desired drying effect without over-drying the clothes due to overheating, which would affect their service life.

[0097] In winter mode, clothes are thicker and have multiple layers inside and outside. The fan runs at the maximum speed and the heater runs at 100% power. At this time, the equipment capacity is maximized.

[0098] In the underwear mode: underwear is usually made of delicate materials, has high requirements for comfort, and has a small area. At this time, the fan runs at 70% speed and the heater runs at 60% power. This mode can better meet the requirements of underwear drying.

[0099] When the humidity range is 50%-85%; In summer mode: the fan runs at the set maximum speed and the heater runs at 50% power.

[0100] In winter mode: the fan runs at the set maximum speed and the heater runs at 90% power.

[0101] In underwear mode: the fan runs at 70% speed and the heater runs at 50% power.

[0102] When the humidity range is 0%-50%; In summer mode: the fan runs at the set maximum speed and the heater runs at 40% power.

[0103] In winter mode: the fan runs at the set maximum speed and the heater runs at 90% power.

[0104] In underwear mode: the fan runs at 70% speed and the heater runs at 40% power.

[0105] In this embodiment, the environmental data can be input into a data table to obtain the corresponding first control parameter and second control parameter. The environmental data and the first indication data and the second indication data can also be input into a data table to obtain the corresponding first control parameter and second control parameter.

[0106] Specifically, the data table may predefine the relationship between the environmental data and the control parameter. The data table may include multiple columns, including the environmental data, the first control parameter (the fan control parameter) and the second control parameter (the heater control parameter).

[0107] The control device can read the environmental data collected by the sensor and then match the data with the various ranges in the data table.

[0108] In this embodiment, the environmental data may also be input into a preset mapping function to obtain the corresponding first control parameter and second control parameter. For example, a linear or nonlinear equation may be used to dynamically calculate the control parameters of the fan and the heater.

[0109] In this embodiment, the environmental data can also be input into a machine learning or deep learning model to obtain the corresponding first control parameter and second control parameter. Specifically, historical environmental data (e.g., humidity, temperature, etc.) and control parameter data (e.g., fan speed, heating power, etc.) can be collected, and then a machine learning algorithm (e.g., decision tree, regression analysis, etc.) or a deep learning algorithm can be used to train the model. Through machine learning and deep learning algorithms, the clothing processing device can continuously learn from historical data and optimize the prediction effect, improve the operating efficiency and accuracy of the fan and heater, and can adaptively adjust in the face of different environmental conditions.

[0110] In this embodiment, the parameters of the fan and heater can also be directly controlled according to the change of environmental data through a preset rule set (eg, IF-THEN rule). The rule engine can use a series of conditional judgments to determine the value of the control parameter.

[0111] Based on the first control parameter and the second control parameter, the fan and the heater are controlled to operate to execute a preset target deodorization strategy.

[0112] In this embodiment, the control device can generate corresponding control signals based on the first control parameter and the second control parameter to control the operation of the fan and the heater to execute a preset target deodorization strategy.

[0113] In this embodiment, the fan control parameters and heater control parameters can be dynamically adjusted based on environmental data (e.g., humidity, temperature, etc.) to achieve a more thorough deodorization effect. Specifically, when the environmental data (e.g., humidity or temperature) is large, indicating that the humidity is heavy or the temperature is high, the control device will automatically increase the control parameters of the fan and heater, increase the wind speed of the fan and the heating power of the heater, help accelerate air circulation and moisture evaporation, and effectively remove the odor on the clothes. Through this automatic adjustment based on environmental changes, the clothing treatment device can flexibly adjust the working state under different humidity and temperature conditions, ensuring that the deodorization process is more thorough and fast, and improving the user experience and the freshness of the clothes.

[0114] According to an embodiment of the present invention, a clothing processing device is provided, comprising: a memory, and one or more processors communicatively connected to the memory; the memory stores instructions executable by the one or more processors, and the instructions are executed by the one or more processors so that the one or more processors implement the above-mentioned method.

[0115] In this embodiment, the clothing processing device may be a washing machine, a dryer, a washer-dryer, a clothing disinfector, a pet supplies cleaning device, and the like.

[0116] According to an embodiment of the present invention, an electronic device is provided. Figure 4 The electronic device in this embodiment may include one or more of the following components: a processor, a network interface, a memory, a non-volatile memory, and one or more applications, wherein the one or more applications may be stored in the non-volatile memory and configured to be executed by one or more processors, and the one or more programs are configured to execute the method described in the aforementioned method embodiment.

[0117] According to an embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a computer, the computer executes the method described in any one of the above embodiments.

[0118] According to an embodiment of the present invention, a computer program product including instructions is also provided. When the instructions are executed by a computer, the computer executes a method in any one of the above embodiments.

[0119] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0120] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment will not be described in detail here.

[0121] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0122] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0123] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A control method for a clothes processing device, characterized in that: The method comprises: Acquiring environmental data during the processing of the processed object; wherein the environmental data is environmental data of the environment in which the clothing processing device is located; Determine whether the environmental data is greater than or equal to a preset environmental data threshold; wherein the environmental data threshold is a threshold that indicates that the current environment is prone to breeding bacteria; When the environmental data value is greater than or equal to a preset threshold, a preset target disinfection strategy and / or a target odor removal strategy is executed to remove odors that may be carried by the treated object.

2. The method according to claim 1, characterized in that: The step of obtaining environmental data during the processing of the processed object includes: Determine positioning information; Based on the positioning information, a request for obtaining environmental data is sent to the cloud; Receive environmental data sent from the cloud.

3. The method according to claim 1, characterized in that The environmental data includes environmental temperature data and environmental humidity data, and the environmental data threshold includes an environmental temperature threshold and an environmental humidity threshold; wherein the environmental temperature threshold is a threshold indicating that the temperature of the current environment is prone to breeding bacteria, and the environmental humidity threshold is a threshold indicating that the humidity of the current environment is prone to breeding bacteria; the step of at least determining whether the humidity data is greater than or equal to the humidity threshold includes: It is determined whether the ambient temperature data is greater than or equal to an ambient temperature threshold, and it is determined whether the ambient humidity data is greater than or equal to an ambient humidity threshold.

4. The method according to claim 3, characterized in that When the environmental data value is greater than or equal to a preset threshold, the step of running a preset target disinfection strategy and / or a target odor removal strategy includes: In the case where the ambient temperature data is greater than or equal to the ambient temperature threshold and the ambient humidity data is greater than or equal to the ambient humidity threshold, determining first indication data and / or second indication data; wherein the first indication data is data indicating the processing stage of the processed object during the processing, and the second indication data is data indicating the type of the processed object; Based on the first indication data and / or the second indication data, determining a target disinfection strategy from a preset disinfection strategy set and / or determining a target odor removal strategy from a preset odor removal strategy set; Run a targeted disinfection strategy and / or a targeted odor removal strategy.

5. The method according to claim 4, characterized in that The processing stage includes a washing stage and a drying stage, the disinfection strategy set includes at least disinfection strategies of ozone disinfection and negative ion disinfection, and the deodorization strategy set includes at least a deodorization strategy of fragrance enhancement; the step of determining a target disinfection strategy from a preset disinfection strategy set and / or determining a target deodorization strategy from a preset deodorization strategy set based on the first indication data and / or the second indication data includes: When the first indication data indicates that the current processing stage is a laundry stage, for the disinfection strategy set, ozone disinfection is determined as a target disinfection strategy; When the first indication data indicates that the current processing stage is the drying stage, negative ion disinfection is determined as the target disinfection strategy for the disinfection strategy set, and fragrance enhancement is determined as the target deodorization strategy for the deodorization strategy set.

6. The method according to claim 5, characterized in that The type of the treated object includes the type of target clothing; the disinfection strategy set also includes a high-temperature steam disinfection strategy; the step of determining a target disinfection strategy from a preset disinfection strategy set and / or a target deodorization strategy from a preset deodorization strategy set based on the first indication data and / or the second indication data, further includes: When the first indication data indicates that the current processing stage is the drying stage, and when the second indication data indicates that the type of the processed object is the target clothing type, for the disinfection strategy set, the high-temperature steam disinfection strategy is determined as the target disinfection strategy.

7. The method according to claim 4, characterized in that The step of determining the first indication data and / or the second indication data comprises: Parsing the current processing task flow to obtain first indication data; wherein the processing task flow is a task flow pre-set by the clothing processing device for processing the processed object; and / or Collecting image data of the object being processed by a preset image acquisition device; Based on the image data, target detection is performed to obtain second indication data.

8. The method according to claim 4, characterized in that In the case where the clothing processing device is a clothes dryer, the step of running a preset target disinfection strategy and / or a target odor removal strategy to remove odors that may be carried by the treated object includes: At least based on the environmental data, determine a first control parameter and a second control parameter; wherein the first control parameter is a control parameter representing a fan in the clothes dryer, and the second control parameter is a control parameter representing a heater in the clothes dryer; wherein the larger the environmental data, the larger the first control parameter and the second control parameter; Based on the first control parameter and the second control parameter, the fan and the heater are controlled to operate to execute a preset target deodorization strategy.

9. A clothes processing device, characterized in that: include: a memory, and one or more processors communicatively coupled to the memory; Instructions executable by the one or more processors are stored in the memory. The instructions are executed by the one or more processors to enable the one or more processors to implement the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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