Sterilization and dehumidification control method, device and equipment for intelligent wardrobe

Abstract

The invention discloses a sterilization and dehumidification control method, device and equipment for an intelligent wardrobe, the intelligent wardrobe is provided with a new clothes area and a plurality of clothes storage areas, a plurality of gas pipelines are embedded in the intelligent wardrobe, each gas pipeline is provided with a plurality of independent pipeline electromagnetic valves corresponding to each subarea, and the method comprises the steps that the current state parameters of each subarea are detected, the current state parameters comprise environment temperature and humidity parameters, fabric humidity parameters, gas concentration parameters and clothes parameters; determining a target control demand of the target partition according to the current state parameter of the target partition by using a preset reinforcement learning model; and if the target control demand comprises a gas release demand, opening a pipeline electromagnetic valve corresponding to the target partition based on the gas release demand, and controlling a gas generator to work. According to the intelligent wardrobe, the intelligent degree and the clothes storage effect of the intelligent wardrobe are improved, the wardrobe is safer, and the maternal and infant clothes storage requirement is met.

Description

Technical Field

[0001] The present application relates to the field of smart home technology, and in particular to a sterilization and dehumidification control method, device and equipment for a smart wardrobe. Background Art

[0002] As living standards improve, people have higher expectations for clothing storage environments. Traditional wardrobes primarily rely on physical compartments or simple temperature and humidity control devices to store clothing. These devices fail to differentiate clothing characteristics (such as material and purpose) in different compartments, resulting in poor storage performance. Some high-end wardrobes incorporate fragrance or dehumidification functions, but these release gases in a crude manner, making it difficult to precisely control the type, concentration, and area of ​​effect. Furthermore, these systems often rely on preset programs or manual adjustments, failing to adapt to the clothing's condition. Summary of the Invention

[0003] The present application provides a sterilization and dehumidification control method, device and equipment for a smart wardrobe to solve the technical problem of poor storage effect of current wardrobes.

[0004] In order to solve the above technical problems, in a first aspect, the present application provides a sterilization and dehumidification control method for a smart wardrobe, wherein the smart wardrobe is provided with a new clothing area and multiple clothing storage areas, and the smart wardrobe is embedded with multiple gas pipelines, wherein the gas pipeline is provided with a plurality of air outlets on the inner side surface, inner top surface and / or inner bottom surface of each partition, and the gas pipeline is provided with a plurality of independent pipeline solenoid valves corresponding to each partition, the gas pipeline including a negative oxygen pipeline connected to a negative oxygen generator, a fragrance pipeline connected to a fragrance generator, a steam pipeline connected to a steam generator, and a dry air pipeline connected to a dry air generator. The control method includes: Detecting current state parameters of each partition, wherein the current state parameters include ambient temperature and humidity parameters, fabric humidity parameters, gas concentration parameters, and clothing parameters; Determining a target control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model; If the target control requirement includes a gas release requirement, based on the gas release requirement, the pipeline solenoid valve corresponding to the target partition is opened, and the gas generator is controlled to operate.

[0005] In some embodiments, the smart wardrobe is provided with an interactive display panel, and the method further comprises: In response to a user's zone allocation request operation on the interactive display panel, a zone diagram of the smart wardrobe and a zone type selection list are displayed, wherein the zone type selection list includes options corresponding to a new clothes zone and a plurality of clothes storage zones, wherein the clothes storage zones include one or more of a mother-and-baby zone, a general-purpose zone, a formal dress zone, a summer clothes zone, a winter clothes zone, a spring-and-autumn clothes zone, a woolen clothes zone, a silk clothes zone, a cotton clothes zone, and a synthetic fiber clothes zone; In response to the user's area selection operation on the interactive display panel, the target area selected by the user is set as the partition type selected by the user, and the correspondence between the number information of the pipeline solenoid valve and the partition is updated.

[0006] In some embodiments, the smart wardrobe is provided with a camera, and the method further comprises: Scanning label information and / or image information of clothing by the camera; Using a preset clothing classification recognition model, based on the tag information and image information, the category information of the clothing is identified, wherein the preset clothing material recognition model is a local model, and the category information includes material category information and clothing type information; According to the category information and the storage area result currently divided by the smart wardrobe, the recommended storage area information corresponding to the clothing is determined, and the category information and recommended storage area information of the clothing are displayed on the interactive display panel.

[0007] In some embodiments, determining the target control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model includes: Inputting the partition type of the target partition, the current state parameter, and the current season information into the preset reinforcement learning model, and analyzing the target control requirements of the target partition in the current season; The preset reinforcement learning model is an intelligent model composed of the partition type, the current state parameters and the current season information as the state space, the on-off state of the pipeline solenoid valve, the gas release type, the gas release duration and the gas release concentration as the action space, the clothing maintenance effect information, the energy consumption information and the user satisfaction feedback information as the calculation factors of the reward function, and preset constraints.

[0008] In some embodiments, the preset constraints include: If the clothing parameter indicates that new clothes are put into the new clothes area, determining target control requirements of the new clothes area in order of steam requirement, dry air requirement, negative oxygen requirement and fragrance requirement; If the fabric humidity parameter indicates that the clothing humidity in the storage area is greater than a preset humidity, determining target control requirements of the storage area in terms of steam demand, dry air demand, and fragrance demand in sequence; If the ambient temperature and humidity parameters indicate that the ambient temperature and humidity of the clothing storage area are greater than the preset temperature and humidity, determining target control requirements of the clothing storage area, which are a dry air requirement and a fragrance requirement; If the gas concentration parameter indicates that the odor concentration in the clothing storage area is greater than a preset concentration, target control requirements of the clothing storage area, which are negative oxygen requirements and fragrance requirements, are determined.

[0009] In some embodiments, opening the pipeline solenoid valve corresponding to the target partition and controlling the operation of the gas generator based on the gas release demand includes: For the gas release requirements of the plurality of target zones, matching the gas release process corresponding to each gas release requirement; Based on a preset process planning strategy, the gas release processes of the plurality of target partitions are planned to generate a total gas release process covering the plurality of target partitions; Based on the overall gas release process, the pipeline solenoid valves of the corresponding target partitions are opened in sequence, and the corresponding negative oxygen generators, fragrance generators, steam generators and / or dry air generators are controlled to work in sequence.

[0010] In some embodiments, the gas release processes of the plurality of target zones are planned based on a preset process planning strategy to generate a total gas release process covering the plurality of target zones, including: The target partitions using the same gas generator at the same time are grouped together, and all the groups are sorted according to the time sequence in the gas release process; According to the release parameters in the gas release process, the first operating parameters of the pipeline solenoid valve corresponding to each target partition and the second operating parameters of the gas generator corresponding to each group are allocated to obtain the overall gas release process.

[0011] In some embodiments, before opening the pipeline solenoid valve corresponding to the target zone based on the gas release demand and controlling the gas generator to operate, the method further includes: Determining whether the current moment is within a recent do-not-disturb period, or whether a start-work instruction has been received, where the recent do-not-disturb period is the do-not-disturb period closest to the current moment; If the current time is not within the recent do not disturb period and / or a start work instruction is received, then the step of opening the pipeline solenoid valve corresponding to the target zone based on the gas release demand and controlling the operation of the gas generator is entered; If the current moment is within the recent do not disturb period and no start work instruction is received, it will be retained in the preset task queue until the current moment is within the recent do not disturb period, so as to enter the steps of opening the pipeline solenoid valve corresponding to the target partition based on the gas release demand and controlling the operation of the gas generator.

[0012] In a second aspect, the present application also provides a sterilization and dehumidification control device for a smart wardrobe, wherein the smart wardrobe is provided with a new clothing area and multiple clothing storage areas, each partition being embedded with multiple gas pipes, and the gas pipes are provided with a plurality of air outlets on the inner side, inner top and / or inner bottom of each partition, and the gas pipes are provided with a plurality of independent pipe solenoid valves corresponding to each partition, respectively. The gas pipes include a negative oxygen pipe connected to a negative oxygen generator, a fragrance pipe connected to a fragrance generator, a steam pipe connected to a steam generator, and a dry air pipe connected to a dry air generator, and the control device includes: A detection module, configured to detect current state parameters of each partition, wherein the current state parameters include ambient temperature and humidity parameters, fabric humidity parameters, gas concentration parameters, and clothing parameters; a determination module, configured to determine a control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model; The working module is used to open the pipeline solenoid valve corresponding to the target partition and control the operation of the gas generator based on the gas release demand if the control demand includes a gas release demand.

[0013] In a third aspect, the present application further provides a computer device comprising a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the sterilization and dehumidification control method of the smart wardrobe as described in the first aspect above is implemented.

[0014] Compared with the prior art, this application has at least the following beneficial effects: This application sets up multiple gas pipelines, gas generators and pipeline solenoid valves to meet the independent control requirements of negative oxygen sterilization and deodorization, steam sterilization and disinfection, dry air drying and fragrance in each partition of the smart wardrobe, which can achieve precise gas release and prevent cross-contamination; and through real-time detection of the status of each partition, the sterilization and dehumidification requirements are determined according to the actual status; the dynamic decision-making system based on reinforcement learning automatically optimizes the gas release strategy by real-time monitoring of multi-dimensional parameters such as temperature and humidity, fabric humidity, etc., to achieve adaptive sterilization and dehumidification, which is more energy-efficient than traditional timing control, and improves the intelligence level of the smart wardrobe and the clothing storage effect. At the same time, compared with the existing smart wardrobes that use UV ultraviolet sterilization with radiation risks or ozone sterilization with corrosiveness and ozone residues, this application uses steam and negative oxygen ions to be safer and meet the storage needs of maternal and child-level clothing. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of a sterilization and dehumidification control method for a smart wardrobe according to an embodiment of the present application; Figure 2 This is a structural block diagram of the smart wardrobe shown in an embodiment of the present application; Figure 3 This is a structural block diagram of the sterilization and dehumidification control device for the smart wardrobe shown in an embodiment of the present application; Figure 4 This is a structural block diagram of a computer device shown in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] See also Figure 1 and Figure 2 , the embodiment of the present application shows a flow chart of a sterilization and dehumidification control method of a smart wardrobe and a structural diagram of a smart wardrobe. Figure 2 As shown, the smart wardrobe is provided with a new clothes area and multiple clothes storage areas. The smart wardrobe is embedded with multiple gas pipes. The gas pipes are provided with a number of air outlets on the inner side, inner top and / or inner bottom of each partition. The gas pipes are provided with multiple independent pipe solenoid valves corresponding to each partition. The gas pipes include a negative oxygen pipe connected to the negative oxygen generator, a fragrance pipe connected to the fragrance generator, a steam pipe connected to the steam generator, and a dry air pipe connected to the dry air generator. Figure 1 As shown, the sterilization and dehumidification method of the smart wardrobe of this embodiment includes steps S101 to S103, which are detailed as follows: Detecting current state parameters of each partition, wherein the current state parameters include ambient temperature and humidity parameters, fabric humidity parameters, gas concentration parameters, and clothing parameters; Determining a target control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model; If the target control requirement includes a gas release requirement, based on the gas release requirement, the pipeline solenoid valve corresponding to the target partition is opened, and the gas generator is controlled to operate.

[0018] In this embodiment, the new clothes area is where newly purchased clothes and those that have been washed are hung back in the closet. This area sterilizes and disinfects newly purchased clothes, and removes wrinkles, deodorizes, and adds fragrance to washed clothes. The storage area is where clothes other than those in the new clothes area are stored. This area may include, but is not limited to, maternity and baby areas, formal wear areas, summer clothing areas, winter clothing areas, spring and autumn clothing areas, wool clothing areas, silk clothing areas, cotton clothing areas, and synthetic fiber clothing areas. Each gas generator corresponds to a gas pipeline, each connected to a separate zone, and an independent pipeline solenoid valve is provided for each zone to facilitate independent control of each zone. The negative oxygen generator can use a carbon brush or nano-needle tip discharge method to achieve a negative oxygen ion concentration. The fragrance generator can be equipped with a fragrance liquid installation chamber to facilitate user replacement of fragrance liquid. The steam generator has a fresh water chamber or is directly connected to the tap water line. The dry air generator uses a circulating dry air system (each zone has a corresponding circulating air hole).

[0019] Each section of the smart wardrobe can be equipped with sensors such as a temperature and humidity sensor (such as the SHT30), a VOC gas sensor (such as the CCS811), and a fabric moisture sensor (such as the FS300). Ambient temperature and humidity parameters refer to the temperature and humidity of the section, fabric moisture parameters refer to the dampness of the clothing, gas concentration parameters can include VOC concentrations, and clothing parameters include clothing type, whether it is newly purchased or freshly washed, and clothing material. Clothes are considered newly purchased when entered into the smart wardrobe, and newly washed when placed in the new clothing section. The pre-set reinforcement learning model can be a Q-Learning reinforcement learning model, which can learn the user's sterilization and dehumidification habits and adapt control requirements to seasonal changes. Target control requirements include both no and active gas release requirements. The no gas release requirement can include a prompt on the interactive display panel to provide the user with the required information.

[0020] This application sets up multiple gas pipelines, gas generators and pipeline solenoid valves to meet the independent control requirements of negative oxygen sterilization and deodorization, steam sterilization and disinfection, dry air drying and fragrance in each partition of the smart wardrobe, which can achieve precise gas release and prevent cross contamination; and by detecting the status of each partition in real time, the sterilization and dehumidification needs can be determined according to the actual status; the dynamic decision-making system based on reinforcement learning automatically optimizes the gas release strategy by monitoring multi-dimensional parameters such as temperature, humidity, and fabric humidity in real time, achieving adaptive sterilization and dehumidification. It is more energy-efficient than traditional timing control, improving the intelligence level of the smart wardrobe and the clothing storage effect. At the same time, compared with the existing smart wardrobes that use UV ultraviolet sterilization with radiation risks or ozone sterilization with corrosiveness and ozone residue, this application uses steam and negative oxygen ions to be safer and meet the storage needs of maternal and child-level clothing. In the field of clothing storage, it is usually necessary to keep clothes dry. Steam sterilization will cause clothes to be very wet, so current smart wardrobes do not use this technology. Instead, this application uses steam and dry air to ensure that clothes remain dry after sterilization, and with the help of negative oxygen ions, further inhibit bacteria and deodorize.

[0021] In some embodiments, the smart wardrobe is provided with an interactive display panel, and the method further comprises: In response to a user's zone allocation request operation on the interactive display panel, a zone diagram of the smart wardrobe and a zone type selection list are displayed, wherein the zone type selection list includes options corresponding to a new clothes zone and a plurality of clothes storage zones, wherein the clothes storage zones include one or more of a mother-and-baby zone, a general-purpose zone, a formal dress zone, a summer clothes zone, a winter clothes zone, a spring-and-autumn clothes zone, a woolen clothes zone, a silk clothes zone, a cotton clothes zone, and a synthetic fiber clothes zone; In response to the user's area selection operation on the interactive display panel, the target area selected by the user is set as the partition type selected by the user, and the correspondence between the number information of the pipeline solenoid valve and the partition is updated.

[0022] In this embodiment, the interactive display panel is a panel provided to the user for interaction and displaying information, such as a touch screen display. Currently, smart wardrobes rarely have clear partitions, and those with clear partitions are fixed and cannot be changed, making it difficult for users to adjust the partitions according to actual conditions during use. This embodiment can meet the user's needs to set partitions according to actual conditions through regional allocation. For example, families with infants can set up a mother-and-baby area, and families with many social events can set up a formal dress area, etc. Since the control requirements of different partitions are different, after the partitions are allocated according to the user's operation settings, the pipeline solenoid valves are matched one-to-one with the partitions, so that the corresponding pipeline solenoid valves can be controlled according to the number of the pipeline solenoid valves according to the control requirements.

[0023] In some embodiments, the smart wardrobe is provided with a camera, and the method further comprises: scanning label information and / or image information of the clothes through the camera; identifying category information of the clothes according to the label information and the image information by using a preset clothes classification identification model, the preset clothes material identification model being a local model, and the category information including material category information and clothes type information; determining recommended storage area information corresponding to the clothes according to the category information and a current storage area result of the smart wardrobe, and displaying the category information and the recommended storage area information of the clothes on the interactive display panel.

[0024] In the embodiment, some users cannot determine the material of clothes, and the clothes are easily stored in a disordered manner (for example, cotton clothes are hung in a synthetic fiber area). Therefore, in the embodiment, a camera is arranged on the smart wardrobe to scan label information or image information of newly purchased clothes, a local model is called to identify material category information and clothes type information, the material category information can be wool, cotton, silk, synthetic fiber, etc., the clothes type information can be a short T-shirt, a down jacket, a sweater, a cotton-padded clothes, a long shirt, etc., and the local model can ensure user privacy security. Since the user-set partition does not necessarily include a partition of a corresponding material, the user is shown recommended storage areas, for example, a short T-shirt of a cotton material can correspond to a summer clothes area, so as to improve user experience.

[0025] In some embodiments, the step S102 includes: inputting the partition type of the target partition, the current state parameter and current season information into the preset reinforcement learning model to analyze a target control requirement of the target partition in the current season; The preset reinforcement learning model is an intelligent model composed of a preset constraint condition and a calculation factor of a reward function, wherein the partition type, the current state parameter and the current season information are used as a state space, the on-off of the pipeline electromagnetic valve, the gas release type, the gas release time length and the gas release concentration are used as an action space, and the clothes maintenance effect information, the energy consumption information and the user satisfaction feedback information are used as the calculation factor of the reward function.

[0026] In this embodiment, the preset reinforcement learning model can be obtained by training an existing model architecture through an existing training method, but its training data is the data set in this application. By taking the partition type, the current state parameter and the current season information as the state space, the influence of different partition types, state parameters and seasons on wardrobe control is considered; by taking the on-off of the pipeline solenoid valve, the gas release type, the gas release duration and the gas release concentration as the action space, the control parameters including the on-off of which pipeline solenoid valve, the gas release type, the gas release duration and the gas release concentration are obtained; by taking the clothing maintenance effect information, energy consumption information and user satisfaction feedback information as the calculation factors of the reward function, the reinforcement learning model dynamically learns which control parameters have the best clothing maintenance effect, the lowest energy consumption and the most user satisfaction, etc.; by setting constraints, it is ensured that the results of the intelligent model will not deviate from the actual situation and needs. The constraints include the constraints of the parameter value range and the constraints of the default program.

[0027] Optionally, the preset constraints of the default program include: If the clothing parameter indicates that new clothes are put into the new clothes area, determining target control requirements of the new clothes area in order of steam requirement, dry air requirement, negative oxygen requirement and fragrance requirement; If the fabric humidity parameter indicates that the clothing humidity in the storage area is greater than a preset humidity, determining target control requirements of the storage area in terms of steam demand, dry air demand, and fragrance demand in sequence; If the ambient temperature and humidity parameters indicate that the ambient temperature and humidity of the clothing storage area are greater than the preset temperature and humidity, determining target control requirements of the clothing storage area, which are a dry air requirement and a fragrance requirement; If the gas concentration parameter indicates that the odor concentration in the clothing storage area is greater than a preset concentration, target control requirements of the clothing storage area, which are negative oxygen requirements and fragrance requirements, are determined.

[0028] In this optional embodiment, newly bought or newly washed clothes are sterilized and disinfected by steam. Newly washed clothes usually have certain wrinkles when dried in the sun, and steam can remove wrinkles. After being dried with dry air, they remain soft, and negative oxygen ions are used to deodorize and inhibit bacteria, and fragrance is added. This frees users from the manual operation of ironing and adding fragrance to clothes. For clothes with a humidity greater than a preset humidity, there may be bacteria on their surface, so steam sterilization and dry air drying are used, and the original fragrance is removed by the dry air and released again to add fragrance. For partitions where the ambient temperature and humidity are greater than the preset temperature and humidity, they are dried with dry air and added with fragrance. For storage areas where the odor concentration is greater than the preset concentration, negative oxygen ions are used to deodorize and inhibit bacteria, and add fragrance. This embodiment sets constraints so that the reinforcement learning model will not deviate from the basic control requirements during the continuous learning process.

[0029] In some embodiments, step S103 includes: For the gas release requirements of the plurality of target zones, matching the gas release process corresponding to each gas release requirement; Based on a preset process planning strategy, the gas release processes of the plurality of target partitions are planned to generate a total gas release process covering the plurality of target partitions; Based on the overall gas release process, the pipeline solenoid valves of the corresponding target partitions are opened in sequence, and the corresponding negative oxygen generators, fragrance generators, steam generators and / or dry air generators are controlled to work in sequence.

[0030] In this embodiment, since the same test may have different control requirements for multiple zones, such as the new clothes zone with steam, dry air, negative oxygen, and fragrance, and the winter clothes zone with dry air and fragrance, the control requirements of these two zones can be combined and unified to save energy. For example, steam control can be applied to the new clothes zone first, followed by dry air control for both the new clothes zone and the winter clothes zone, followed by negative oxygen control for the new clothes zone, and finally, fragrance control for both the new clothes zone and the winter clothes zone. This saves one dry air generator and one fragrance generator operation, effectively reducing energy consumption.

[0031] Optionally, the steps for generating the overall gas release process include: The target partitions using the same gas generator at the same time are grouped together, and all the groups are sorted according to the time sequence in the gas release process; According to the release parameters in the gas release process, the first operating parameters of the pipeline solenoid valve corresponding to each target partition and the second operating parameters of the gas generator corresponding to each group are allocated to obtain the overall gas release process.

[0032] In this optional embodiment, as in the above example, for the simultaneous control requirements of the new clothes zone and the winter clothes zone, due to differences in the specific control parameters in the control requirements of different zones, for example, the humidity in the new clothes zone is higher after steaming, and a longer dry air drying time is required, while the humidity in the winter clothes zone is lower than that in the new clothes zone, and its dry air drying time is shorter, so corresponding first working parameters are set for the pipeline solenoid valves in different zones; and the gas flow requirements of different zones are different, so the second working parameters of the corresponding gas generators need to be set (set according to the maximum gas flow requirement in all zones) to achieve precise control.

[0033] In some embodiments, before step S103, the method further includes: Determining whether the current moment is within a recent do-not-disturb period, or whether a start-work instruction has been received, where the recent do-not-disturb period is the do-not-disturb period closest to the current moment; If the current time is not within the recent do not disturb period and / or a start work instruction is received, then the step of opening the pipeline solenoid valve corresponding to the target zone based on the gas release demand and controlling the operation of the gas generator is entered; If the current moment is within the recent do not disturb period and no start work instruction is received, it will be retained in the preset task queue until the current moment is within the recent do not disturb period, so as to enter the steps of opening the pipeline solenoid valve corresponding to the target partition based on the gas release demand and controlling the operation of the gas generator.

[0034] In this embodiment, since the smart wardrobe is noisy and is typically installed in the user's room, multiple Do Not Disturb (DND) periods are set to prevent disturbing the user's rest and preventing the wardrobe from operating while the user is changing clothes in the morning or showering at night. This prevents the smart wardrobe from interrupting the user's daily life and ensures a better user experience. As soon as the user confirms the start of operation, the smart wardrobe begins operating regardless of whether it is during the Do Not Disturb period, thus meeting the user's real-time operation needs.

[0035] In order to implement the sterilization and dehumidification control method of the smart wardrobe corresponding to the above method embodiment, to achieve the corresponding functions and technical effects. Figure 3 , Figure 3 The following is a block diagram of a sterilization and dehumidification device for a smart wardrobe provided in an embodiment of the present application. For ease of explanation, only the parts related to this embodiment are shown. The sterilization and dehumidification control device for a smart wardrobe provided in an embodiment of the present application includes: Detection module 301, used to detect the current state parameters of each partition, the current state parameters including ambient temperature and humidity parameters, fabric humidity parameters, gas concentration parameters and clothing parameters; A determination module 302 is configured to determine a control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model; The working module 303 is configured to, if the control requirement includes a gas release requirement, open the pipeline solenoid valve corresponding to the target partition and control the gas generator to operate based on the gas release requirement. In some embodiments, the smart wardrobe is provided with an interactive display panel, and the device further comprises: a first response module, configured to display, in response to a user's zone allocation request operation on the interactive display panel, a zone diagram of the smart wardrobe and a zone type selection list, wherein the zone type selection list includes options corresponding to a new clothes zone and a plurality of clothes storage zones, wherein the clothes storage zones include one or more of a mother-and-baby zone, a formal clothes zone, a summer clothes zone, a winter clothes zone, a spring-and-autumn clothes zone, a wool clothes zone, a silk clothes zone, a cotton clothes zone, and a synthetic fiber clothes zone; The second response module is used to set the target area selected by the user as the partition type selected by the user in response to the user's selection operation on the interactive display panel, and update the corresponding relationship between the number information of the pipeline solenoid valve and the partition.

[0036] In some embodiments, the smart wardrobe is provided with a camera, and the device further comprises: A scanning module, configured to scan label information and image information of clothing through the camera; an identification module, configured to identify the category information of the clothing according to the tag information and the image information using a preset clothing classification identification model, wherein the preset clothing material identification model is a local model, and the category information includes material category information and clothing type information; The display module is used to determine the recommended storage area information corresponding to the clothing according to the category information and the storage area results currently divided by the smart wardrobe, and to display the category information and recommended storage area information of the clothing on the interactive display panel.

[0037] In some embodiments, the determining module 302 is specifically configured to: Inputting the partition type of the target partition, the current state parameter, and the current season information into the preset reinforcement learning model, and analyzing the target control requirements of the target partition in the current season; The preset reinforcement learning model is an intelligent model composed of the partition type, the current state parameters and the current season information as the state space, the on-off state of the pipeline solenoid valve, the gas release type, the gas release duration and the gas release concentration as the action space, the clothing maintenance effect information, the energy consumption information and the user satisfaction feedback information as the calculation factors of the reward function, and preset constraints.

[0038] In some embodiments, the preset constraints include: If the clothing parameter indicates that new clothes are put into the new clothes area, determining target control requirements of the new clothes area in order of steam requirement, dry air requirement, negative oxygen requirement and fragrance requirement; If the fabric humidity parameter indicates that the clothing humidity in the storage area is greater than a preset humidity, determining target control requirements of the storage area in terms of steam demand, dry air demand, and fragrance demand in sequence; If the ambient temperature and humidity parameters indicate that the ambient temperature and humidity of the clothing storage area are greater than the preset temperature and humidity, determining target control requirements of the clothing storage area, which are a dry air requirement and a fragrance requirement; If the gas concentration parameter indicates that the odor concentration in the clothing storage area is greater than a preset concentration, target control requirements of the clothing storage area, which are negative oxygen requirements and fragrance requirements, are determined.

[0039] In some embodiments, the working module 303 is specifically configured to: For the gas release requirements of the plurality of target zones, matching the gas release process corresponding to each gas release requirement; Based on a preset process planning strategy, the gas release processes of the plurality of target partitions are planned to generate a total gas release process covering the plurality of target partitions; Based on the overall gas release process, the pipeline solenoid valves of the corresponding target partitions are opened in sequence, and the corresponding negative oxygen generators, fragrance generators, steam generators and / or dry air generators are controlled to work in sequence.

[0040] In some embodiments, the working module 303 is further specifically configured to: The target partitions using the same gas generator at the same time are grouped together, and all the groups are sorted according to the time sequence in the gas release process; According to the release parameters in the gas release process, the first operating parameters of the pipeline solenoid valve corresponding to each target partition and the second operating parameters of the gas generator corresponding to each group are allocated to obtain the overall gas release process.

[0041] In some embodiments, the apparatus further comprises: a do-not-disturb determination module, configured to determine whether the current moment is within a recent do-not-disturb period, or whether a start-work instruction has been received, the recent do-not-disturb period being the do-not-disturb period closest to the current moment; if the current moment is within the recent do-not-disturb period and / or the start-work instruction has been received, then proceeding to the step of opening the pipeline solenoid valve corresponding to the target zone based on the gas release demand, and controlling the operation of the gas generator; The queue module is used to retain the task in the preset task queue if the current moment is not within the recent do not disturb period and no start work instruction is received, until the current moment is within the recent do not disturb period, so as to enter the step of opening the pipeline solenoid valve corresponding to the target partition based on the gas release demand and controlling the operation of the gas generator.

[0042] The above-mentioned smart wardrobe sterilization and dehumidification control device can implement the smart wardrobe sterilization and dehumidification control method of the above-mentioned method embodiment. The optional options in the above-mentioned method embodiment also apply to this embodiment and will not be described in detail here. The remaining contents of the embodiment of this application can be referred to the contents of the above-mentioned method embodiment and will not be repeated in this embodiment.

[0043] Figure 4 This is a schematic diagram of the structure of a computer device provided in one embodiment of the present application. Figure 4 As shown, the computer device 4 of this embodiment includes: at least one processor 40 ( Figure 4 Only one is shown), a memory 41 and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, wherein the processor 40 implements the steps of any of the above method embodiments when executing the computer program 42.

[0044] The computer device may include but is not limited to a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 This is merely an example of the computer device 4 and does not constitute a limitation on the computer device 4 . The computer device 4 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device 4 may also include input and output devices, network access devices, etc.

[0045] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0046] In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard drive or memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the computer device 4. Furthermore, the memory 41 may include both an internal storage unit of the computer device 4 and an external storage device. The memory 41 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 41 may also be used to temporarily store data that has been output or is about to be output.

[0047] In addition, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0048] An embodiment of the present application provides a computer program product. When the computer program product is run on a computer device, the computer device implements the steps in the above-mentioned various method embodiments when executing the computer program product.

[0049] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a part of a module, program segment or code, and the part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which depends on the functions involved.

[0050] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0051] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the protection scope of the present application. It is particularly pointed out that any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A sterilization and dehumidification control method for a smart wardrobe, characterized in that: The smart wardrobe is provided with a new clothes area and multiple clothes storage areas. The smart wardrobe is embedded with multiple gas pipelines. The gas pipelines are provided with a plurality of air outlets on the inner side surface, inner top surface and / or inner bottom surface of each partition. The gas pipelines are provided with multiple independent pipeline solenoid valves corresponding to each partition. The gas pipelines include a negative oxygen pipeline connected to a negative oxygen generator, a fragrance pipeline connected to a fragrance generator, a steam pipeline connected to a steam generator, and a dry air pipeline connected to a dry air generator. The control method includes: Detecting current state parameters of each partition, wherein the current state parameters include ambient temperature and humidity parameters, fabric humidity parameters, gas concentration parameters, and clothing parameters; Determining a target control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model; If the target control requirement includes a gas release requirement, based on the gas release requirement, the pipeline solenoid valve corresponding to the target partition is opened, and the gas generator is controlled to operate.

2. The sterilization and dehumidification control method of the smart wardrobe according to claim 1, characterized in that: The smart wardrobe is provided with an interactive display panel, and the method further comprises: In response to a user's zone allocation request operation on the interactive display panel, a zone diagram of the smart wardrobe and a zone type selection list are displayed, wherein the zone type selection list includes options corresponding to a new clothes zone and a plurality of clothes storage zones, wherein the clothes storage zones include one or more of a mother-and-baby zone, a general-purpose zone, a formal dress zone, a summer clothes zone, a winter clothes zone, a spring-and-autumn clothes zone, a woolen clothes zone, a silk clothes zone, a cotton clothes zone, and a synthetic fiber clothes zone; In response to the user's area selection operation on the interactive display panel, the target area selected by the user is set as the partition type selected by the user, and the correspondence between the number information of the pipeline solenoid valve and the partition is updated.

3. The sterilization and dehumidification control method of the smart wardrobe according to claim 2, characterized in that: The smart wardrobe is provided with a camera, and the method further comprises: Scanning label information and / or image information of clothing by the camera; Using a preset clothing classification recognition model, based on the tag information and image information, the category information of the clothing is identified, wherein the preset clothing material recognition model is a local model, and the category information includes material category information and clothing type information; According to the category information and the storage area result currently divided by the smart wardrobe, the recommended storage area information corresponding to the clothing is determined, and the category information and recommended storage area information of the clothing are displayed on the interactive display panel.

4. The sterilization and dehumidification control method for a smart wardrobe according to claim 1, wherein: The determining the target control requirement of the target partition according to the current state parameters of the target partition by using a preset reinforcement learning model includes: Inputting the partition type of the target partition, the current state parameter, and the current season information into the preset reinforcement learning model, and analyzing the target control requirements of the target partition in the current season; The preset reinforcement learning model is an intelligent model composed of the partition type, the current state parameters and the current season information as the state space, the on-off state of the pipeline solenoid valve, the gas release type, the gas release duration and the gas release concentration as the action space, the clothing maintenance effect information, the energy consumption information and the user satisfaction feedback information as the calculation factors of the reward function, and preset constraints.

5. The sterilization and dehumidification control method of the smart wardrobe according to claim 4, characterized in that: The preset constraints include: If the clothing parameter indicates that new clothes are put into the new clothes area, determining target control requirements of the new clothes area in order of steam requirement, dry air requirement, negative oxygen requirement and fragrance requirement; If the fabric humidity parameter indicates that the clothing humidity in the storage area is greater than a preset humidity, determining target control requirements of the storage area in terms of steam demand, dry air demand, and fragrance demand in sequence; If the ambient temperature and humidity parameters indicate that the ambient temperature and humidity of the clothing storage area are greater than the preset temperature and humidity, determining target control requirements of the clothing storage area, which are a dry air requirement and a fragrance requirement; If the gas concentration parameter indicates that the odor concentration in the clothing storage area is greater than a preset concentration, target control requirements of the clothing storage area, which are negative oxygen requirements and fragrance requirements, are determined.

6. The sterilization and dehumidification control method of the smart wardrobe according to claim 1, characterized in that: The step of opening the pipeline solenoid valve corresponding to the target partition based on the gas release demand and controlling the operation of the gas generator includes: For the gas release requirements of the plurality of target zones, matching the gas release process corresponding to each gas release requirement; Based on a preset process planning strategy, the gas release processes of the plurality of target partitions are planned to generate a total gas release process covering the plurality of target partitions; Based on the overall gas release process, the pipeline solenoid valves of the corresponding target partitions are opened in sequence, and the corresponding negative oxygen generators, fragrance generators, steam generators and / or dry air generators are controlled to work in sequence.

7. The sterilization and dehumidification control method of the smart wardrobe according to claim 6, characterized in that: The gas release processes of the plurality of target partitions are planned based on the preset process planning strategy to generate a total gas release process covering the plurality of target partitions, including: The target partitions using the same gas generator at the same time are grouped together, and all the groups are sorted according to the time sequence in the gas release process; According to the release parameters in the gas release process, the first operating parameters of the pipeline solenoid valve corresponding to each target partition and the second operating parameters of the gas generator corresponding to each group are allocated to obtain the overall gas release process.

8. The sterilization and dehumidification control method for a smart wardrobe according to claim 1, wherein: Before opening the pipeline solenoid valve corresponding to the target partition based on the gas release demand and controlling the gas generator to operate, the method further includes: Determining whether the current moment is within a recent do-not-disturb period, or whether a start-work instruction has been received, where the recent do-not-disturb period is the do-not-disturb period closest to the current moment; If the current time is not within the recent do not disturb period and / or a start work instruction is received, then the step of opening the pipeline solenoid valve corresponding to the target zone based on the gas release demand and controlling the operation of the gas generator is entered; If the current moment is within the recent do not disturb period and no start work instruction is received, it will be retained in the preset task queue until the current moment is within the recent do not disturb period, so as to enter the steps of opening the pipeline solenoid valve corresponding to the target partition based on the gas release demand and controlling the operation of the gas generator.

9. A sterilization and dehumidification control device for a smart wardrobe, characterized in that: The smart wardrobe is provided with a new clothing area and multiple clothing storage areas, each of which is embedded with multiple gas pipelines. The gas pipelines are provided with a plurality of air outlets on the inner side, inner top and / or inner bottom of each partition. The gas pipelines are provided with multiple independent pipeline solenoid valves corresponding to each partition. The gas pipelines include a negative oxygen pipeline connected to a negative oxygen generator, a fragrance pipeline connected to a fragrance generator, a steam pipeline connected to a steam generator, and a dry air pipeline connected to a dry air generator. The control device includes: A detection module, configured to detect current state parameters of each partition, wherein the current state parameters include ambient temperature and humidity parameters, fabric humidity parameters, gas concentration parameters, and clothing parameters; a determination module, configured to determine a control requirement of the target partition according to the current state parameters of the target partition using a preset reinforcement learning model; The working module is used to open the pipeline solenoid valve corresponding to the target partition and control the operation of the gas generator based on the gas release demand if the control demand includes a gas release demand.

10. A computer device, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the method for controlling the sterilization and dehumidification of the smart wardrobe according to any one of claims 1 to 8 is implemented.

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