Mother and baby product disinfection equipment

Abstract

The invention discloses mother and baby product disinfection equipment which comprises a cabinet body, a steam generation device arranged in the cabinet body, an ultraviolet lamp group, a fan and a carrier for carrying articles, and further comprises a parameter acquisition and analysis module, a disinfection mode decision module, a time sequence collaborative analysis module, a comprehensive time sequence allocation module and an execution control module, a top camera array is used for obtaining a visual image of an article, and a plurality of normalized indexes such as shape complexity, loading density, color absorbance, material heat resistance and initial pollution degree are automatically calculated in combination with a distributed pressure sensor at the bottom of a carrier. And then, through a pre-trained weighted fusion decision model, fusing the multi-source heterogeneous data into a unified disinfection mode decision coefficient, so that the equipment can automatically generate a customized disinfection scheme by exceeding fixed program setting and aiming at the characteristics of the load, and the disinfection efficiency is improved on the premise of ensuring the disinfection effect. And energy waste and article damage are avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sterilization of maternal and infant products, in particular to a sterilization equipment for maternal and infant products. BACKGROUND

[0002] The immune system of infants and young children has not yet fully developed, and effective sterilization of the products such as feeding bottles, pacifiers, dental gel, tableware and the like used daily by them is a key link for preventing diseases and ensuring health. At present, intelligent sterilization cabinets integrated with high-temperature steam and ultraviolet dual sterilization functions have become the first choice for many families due to their high efficiency and convenience.

[0003] The existing sterilization cabinets for maternal and infant products have a preset fixed program as the working mode, and this control mode has obvious defects. This mode ignores the difference in load, and regardless of whether the sterilization cavity is filled with single feeding bottles or various toys of different shapes and materials, regardless of the color depth and arrangement density of the products, the same combination of sterilization time and intensity is adopted, which is easy to cause insufficient sterilization or energy waste. For steam and ultraviolet dual-mode sterilization, the existing technology usually adopts a simple and fixed time linkage, for example, first steam sterilization for a fixed time, and then ultraviolet sterilization for a fixed time. This rigid switching cannot be optimized according to the actual dryness after steam sterilization, and if there is a lot of water stains left on the products, it will seriously affect the penetration and sterilization effect of ultraviolet, and the stability and reliability of the sterilization effect are difficult to guarantee.

[0004] Therefore, a sterilization equipment for maternal and infant products is proposed. SUMMARY

[0005] The present application aims to provide a sterilization equipment for maternal and infant products to solve the problems raised in the background.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution: a sterilization equipment for maternal and infant products, comprising a cabinet body, a steam generating device, an ultraviolet lamp group, a fan and a load carrier arranged in the cabinet body, and a load carrier for carrying products, further comprising:

[0007] A parameter acquisition and analysis module is used to acquire the visual image parameters of the products in the sterilization cavity and the pressure distribution parameters of the load carrier in real time, and to preprocess the acquired parameters to generate a normalized product state index;

[0008] A sterilization mode decision module is used to generate a sterilization mode decision coefficient in real time through a weighted fusion model according to the real-time preprocessed product state index;

[0009] A time sequence coordination analysis module is used to generate a time sequence coordination coefficient in real time according to the real-time preprocessed visual image parameters and the cavity humidity distribution parameters after steam sterilization;

[0010] The integrated timing arrangement module is configured to generate a dynamic disinfection timing scheme of the high-temperature steam stage and the ultraviolet irradiation stage in real time according to the real-time generated disinfection mode decision coefficient and the timing coordination coefficient.

[0011] The execution control module is configured to sequentially control the start-stop and power of the steam generating device, the ultraviolet lamp group and the fan according to the real-time generated dynamic disinfection timing scheme, so as to execute the adaptive disinfection process.

[0012] Preferably, the normalized item state index generated by the parameter acquisition and analysis module at least includes: a shape complexity index obtained based on visual image analysis , a loading density index obtained based on pressure distribution , a color absorbance index obtained based on image color analysis , a heat resistance index obtained based on a material database , and an initial contamination degree weight obtained based on user input or sensor acquisition .

[0013] Preferably, the specific formula of the normalized item state index is as follows:

[0014]

[0015]

[0016]

[0017]

[0018]

[0019] Wherein: is the perimeter of the item contour, is the area enclosed by the item contour, is the shape factor, is the number of holes in the item image, is the weight coefficient of the number of holes;

[0020] is the current reading of a single pressure sensor, is the sum of all pressure sensor readings, is the maximum range of a single pressure sensor, is the sum of all sensor maximum ranges;

[0021] is the average gray value of the item surface, is the maximum gray value;

[0022] is the material type of the item, a mapping function from material to heat resistance coefficient;

[0023] a disinfection mode coefficient selected by the user, a turbidity influence coefficient, a turbidity sensor reading.

[0024] Preferably, the disinfection mode decision module generates a disinfection mode decision coefficient The specific way is: the article state index is introduced into the pre-constructed decision model to generate, and the decision model is represented as:

[0025]

[0026] wherein, the disinfection mode decision coefficient, the higher the value, the more the load tends to need longer steam disinfection time; is a weight coefficient of each index, and satisfies .

[0027] Preferably, the specific steps of the comprehensive timing allocation module generating the dynamic disinfection timing scheme are:

[0028] S401, substituting the disinfection mode decision coefficient into the timing allocation model to calculate the basic time of the high-temperature steam stage and the basic time of the ultraviolet irradiation stage , and the timing allocation model is represented as:

[0029]

[0030]

[0031] wherein, is the total length of the disinfection program, is a timing allocation sensitivity coefficient;

[0032] S402, combining the timing coordination coefficient , dynamically correcting the basic time of the ultraviolet irradiation stage to form the final execution timing.

[0033] Preferably, the specific way of the timing coordination analysis module generating the timing coordination coefficient is: substituting the placement regularity index and the multi-point humidity difference parameter in the cavity after steam disinfection into the coordination evaluation model to generate, and the coordination evaluation model is represented as:

[0034]

[0035] wherein, represents a time sequence coordination coefficient, and the higher the value is, the greater the negative influence of the uniformity of the article placement or drying on the disinfection effect is; , are the humidity measurement values of two typical areas in the cavity; , is a weight coefficient.

[0036] Preferably, the execution control module controls the ultraviolet irradiation stage according to the time sequence coordination coefficient The ultraviolet irradiation stage is dynamically controlled in stages, and specifically:

[0037] If , the ultraviolet irradiation is continuously executed according to .

[0038] If , the ultraviolet irradiation stage is divided into two segments, and an enhanced drying stage with a length of is inserted between the two segments, and the calculation formula is as follows:

[0039]

[0040] , wherein is a drying intensity coefficient, is a maximum drying time limit;

[0041] If , the fan is started in a pulse mode while the ultraviolet irradiation is executed, and the total ultraviolet irradiation time can be extended according to the real-time humidity feedback, and the calculation formula is as follows:

[0042]

[0043] , wherein is an extension intensity coefficient, is a maximum allowed extension time limit.

[0044] Preferably, the cabinet further comprises a water tank connected to the cabinet body, an environmental sensor array for detecting the temperature and humidity in the cavity, and a control panel and a communication module for human-computer interaction.

[0045] Preferably, the cabinet body further comprises a partition assembly for separating the inner cavity into two functional areas, and a filter screen for filtering the return air.

[0046] Compared with the prior art, the present application has the following advantages:

[0047] ​1、The present application realizes the precise quantification and intelligent decision of the disinfection load characteristics through the parameter acquisition and analysis module and the disinfection mode decision module, the system uses the top camera array to obtain the visual image of the goods, combines with the distributed pressure sensor at the bottom of the goods rack, and automatically calculates the shape complexity, loading density, color absorbance, material heat resistance and initial pollution degree and other normalized indexes. Subsequently, through the pre-trained weighted fusion decision model, the above-mentioned multi-source heterogeneous data is fused into a unified disinfection mode decision coefficient, so that the equipment can overcome the fixed program setting, automatically generate the customized disinfection scheme according to the characteristics of the load, and avoid energy waste and damage to the goods under the premise of ensuring the disinfection effect.

[0048] 2、The present application realizes the dynamic optimization and closed-loop control of the double-mode disinfection process through the time sequence coordination analysis module and the execution control module, after the steam disinfection stage is finished, the humidity distribution data in the cavity is collected in real time and the goods placing regularity is analyzed, the time sequence coordination coefficient is generated to quantify the negative influence of the current state on the subsequent ultraviolet disinfection, based on this coefficient, the system starts the hierarchical dynamic control strategy: maintain the original plan when the interference is light; when the interference is moderate, insert an intelligent enhanced drying period to effectively remove the residual water stains to ensure the ultraviolet penetration; when the interference is serious, the enhanced strategy of pulse fan and extended irradiation is enabled, effectively solving the pain points of mechanical switching and lack of state feedback of steam and ultraviolet two modes in the traditional disinfection cabinet, so that the two disinfection methods can realize self-adaptive coordination based on real-time working conditions, significantly improving the disinfection uniformity and reliability of complex load, and ensuring the high stability of the final disinfection effect. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 The flowchart of the present application;

[0050] Figure 2 The overall perspective view of the present application;

[0051] Figure 3 The internal structure perspective view of the present application.

[0052] In the figure:

[0053] 1, cabinet; 2, control panel; 3, steam generating device; 4, ultraviolet lamp group; 5, fan; 6, goods rack. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0055] Referring to Figures 1 to 3 , the present application provides a technical scheme of a mother and baby product disinfection device:

[0056] A mother and baby product disinfection device, comprising a cabinet body 1, a steam generating device 3, a UV lamp group 4, a fan 5 and a carrier 6 for carrying articles arranged in the cabinet body 1, further comprising:

[0057] A parameter acquisition and analysis module is used to acquire visual image parameters of articles in the disinfection cavity and pressure distribution parameters of the carrier 6 in real time, and to preprocess the acquired parameters to generate normalized article state indexes;

[0058] A disinfection mode decision module is used to generate a disinfection mode decision coefficient in real time through a weighted fusion model according to the real-time preprocessed article state indexes;

[0059] A time sequence coordination analysis module is used to generate a time sequence coordination coefficient in real time according to the real-time preprocessed visual image parameters and the cavity humidity distribution parameters after steam disinfection is completed;

[0060] A comprehensive time sequence deployment module is used to generate a dynamic disinfection time sequence scheme of the high-temperature steam stage and the UV irradiation stage in real time according to the real-time generated disinfection mode decision coefficient and time sequence coordination coefficient;

[0061] An execution control module is used to sequentially control the start-stop and power of the steam generating device 3, the UV lamp group 4 and the fan 5 according to the real-time generated dynamic disinfection time sequence scheme to execute an adaptive disinfection process.

[0062] As an embodiment of the present application, as shown in Figure 1 , the normalized article state indexes generated by the parameter acquisition and analysis module at least include: a shape complexity index obtained based on visual image analysis, a loading density index obtained based on pressure distribution, a color absorbance index obtained based on image color analysis, a heat resistance index obtained based on a material database, and an initial pollution degree weight obtained based on user input or sensor acquisition;

[0063] The specific formula of the normalized article state index is as follows:

[0064]

[0065]

[0066]

[0067]

[0068]

[0069] wherein: is the perimeter of the object outline, which is obtained by the camera installed on the inner top wall of the sterilizer, and calculated by edge detection algorithm, unit: pixel, this method is prior art, not described in detail here; is the area surrounded by the object outline, which is obtained by image analysis, unit: pixel square, this method is prior art, not described in detail here; is the shape factor, which is used to measure the deviation of the object shape from the circle, the value of the circular object is 1; the more complex and irregular the shape (such as long strip, multiple protrusions), the larger the value; is the number of holes in the object image, for example, the closed area formed by the handle of the milk bottle, the hollow on the toy, etc., the more holes and the more complex the shape, the more difficult to sterilize; is the weight coefficient of the number of holes, which is used to balance the contribution proportion of the outline complexity and the number of holes to the overall complexity, which can be determined by the experimenter after a limited number of experiments.

[0070] is the current reading of a single pressure sensor, which is the real-time pressure value measured by the pressure sensor array installed below the object carrier 6 or arranged in layers, reflecting the local load; is the sum of all pressure sensor readings, indicating the current total load of the objects in the sterilization cavity; is the maximum range of a single pressure sensor, which is the pre-set value of the worker, representing the maximum pressure that the sensor can safely measure; is the sum of the maximum ranges of all sensors, representing the maximum safe carrying capacity of the sterilizer.

[0071] is the average gray value of the object surface, which is calculated by converting the object area from the RGB color space to the gray value after the image is collected by the camera on the inner top wall of the sterilizer, the range is 0 (pure black) to 255 (pure white); is the maximum gray value, which is the normalized reference; The higher the value represents the darker color (such as black), the stronger the light absorption ability; the lower the value represents the lighter color (such as white), the stronger the reflection ability.

[0072] is the material type of the object, which is selected by the user on the control panel 2 (such as silicone, PP plastic, glass, stainless steel); is the mapping function of material to heat resistance coefficient, which is predefined according to the material database, wherein,

[0073] Silicone (not heat resistant): ;

[0074] PP plastic (moderate heat resistant): ;

[0075] Glass / stainless steel (heat resistant): .

[0076] The disinfection mode coefficient selected by the user is the basic weight corresponding to the mode selected by the user through the control panel 2, wherein,

[0077] Quick disinfection (light pollution): 0.8, disinfection time is 15 minutes;

[0078] Standard disinfection (general pollution): 1.0, disinfection time is 30 minutes;

[0079] Strong disinfection (heavy pollution): 1.2, disinfection time is 45 minutes;

[0080] The turbidity influence coefficient is used to balance the contribution of turbidity sensor reading in overall pollution degree evaluation; The turbidity sensor reading is a value measured by an optical turbidity sensor installed on the cleaning waterway, which is used to quantify the turbidity of residual water after cleaning, and indirectly reflects the residual pollution degree of the object;

[0081] The higher the value of the turbidity influence coefficient, the more serious the initial pollution of the object, and the longer time or stronger disinfection is required.

[0082] When working, the camera located on the top wall of the disinfection cabinet is started to take one or more high-resolution images. The image processing unit runs an edge detection algorithm to identify and segment the contour of each independent object, and then calculates its perimeter (P), area (A) and number of internal holes (H); at the same time, the algorithm converts the object region pixels from RGB space to gray value, and calculates the average gray value (G);

[0083] The high-precision thin film pressure sensor array distributed under the object plate synchronously reads the pressure value (P), which is distributed in a grid and can effectively sense the placement position and weight distribution of the object;

[0084] The central processing unit receives the raw data and performs the calculation of the aforementioned five normalization formulas in parallel, and generates , , , and ​​​​​Five state indexes.

[0085] It should be noted that the camera module is packaged in a separate sealed cavity made of ultraviolet-resistant engineering plastic, and the imaging window facing the disinfection cavity adopts single crystal sapphire glass, the outer side of which is coated with a hydrophobic and oleophobic nano coating, and the inner side is integrated with a transparent ITO conductive heating film. During and after the steam disinfection stage, the heating film is powered on through the control circuit, so that the window surface temperature is maintained at 60°C±5°C, which is higher than the dew point temperature in the cavity, thereby effectively preventing water vapor condensation. The inner side of the sapphire glass is also attached with an ultraviolet cut-off filter to block ultraviolet light from damaging the CMOS sensor.

[0086] As an embodiment of the present application, as shown in Figure 1 The disinfection mode decision module generates a disinfection mode decision coefficient The specific way is: introducing the state index of the object into the pre-constructed decision model to generate, and the decision model is represented as:

[0087]

[0088] Among them, The disinfection mode decision coefficient, the higher the value, the more the load tends to need longer steam disinfection time; is the weight coefficient of each index, and satisfies The weight coefficient is preset based on a large amount of experimental data;

[0089] The specific steps of the integrated timing allocation module to generate a dynamic disinfection timing scheme are:

[0090] S401, substitute the disinfection mode decision coefficient into the timing allocation model to calculate the basic time of the high-temperature steam stage and the basic time of the ultraviolet irradiation stage The timing allocation model is represented as:

[0091]

[0092]

[0093] Among them, is the total length of the disinfection program, and the total length of the disinfection is determined by the mode selected by the user through the control panel 2, is the timing allocation sensitivity coefficient, which is determined by the experimenter through a large number of experiments to determine the experience range;

[0094] S402, combine the timing coordination coefficient to dynamically correct the basic time of the ultraviolet irradiation stage to form the final execution timing;

[0095] The time sequence coordination analysis module generates a time sequence coordination coefficient The specific way is: the placing regularity index and the cavity multi-point humidity difference parameter after the steam disinfection is ended are substituted into the coordination evaluation model to generate, and the coordination evaluation model is expressed as:

[0096]

[0097] Wherein, The time sequence coordination coefficient represents that the higher the value is, the greater the negative influence of the article placing or drying uniformity on the disinfection effect is; , The humidity measurement values of two typical areas in the cavity; , The weight coefficient is preset based on a large amount of experimental data;

[0098] The execution control module controls the ultraviolet irradiation stage according to the time sequence coordination coefficient The specific way is:

[0099] If , the ultraviolet irradiation is continuously executed according to ;

[0100] If , the ultraviolet irradiation period is divided into two segments, and an enhanced drying period with a length of is inserted in the middle, and the calculation formula is as follows:

[0101]

[0102] Wherein, The drying intensity coefficient is determined by the experimenters to design the orthogonal experiment to determine the optimal value, The maximum drying time limit;

[0103] If , the fan 5 is started in a pulse mode while the ultraviolet irradiation total time is extended according to the real-time humidity feedback, and the calculation formula is as follows:

[0104]

[0105] Wherein, The extension intensity coefficient is The maximum allowed extension time limit.

[0106] ​​During the work, after the parameter collection is completed, the decision module immediately substitutes the five state indexes into the decision model, combines the preset weight coefficient, and calculates the disinfection mode decision coefficient ;

[0107] The comprehensive timing allocation module dynamically allocates the time according to the value of the time allocation model . and This is a nonlinear mapping process: when is near 0.5, the time allocation is most sensitive to the change of ; when is close to 0 or 1, the allocation tends to be saturated, avoiding dramatic changes in time;

[0108] The system controls the steam generating device 3 to work, and accurately times During the working period of the steam generating device 3, the ultraviolet lamp group 4 does not work.

[0109] After the steam ends, the two high-precision humidity sensors located at the top and bottom of the cavity read and respectively. At the same time, the system analyzes the placement regularity index of the goods this time from the image (the calculation method: = effective projection area / total area of the goods rack 6); and substitutes and the humidity difference into the synergistic evaluation model to calculate the time sequence synergistic coefficient ;

[0110] The system starts the hierarchical control strategy according to the value of .

[0111] When : execute standard ultraviolet irradiation for .

[0112] When : start the dynamic compensation strategy. First, execute 70% of , then turn off the ultraviolet lamp, start the fan 5 for enhanced drying, and the drying duration is the calculation duration of the formula. After the drying ends, execute the remaining 30% of .

[0113] When : start the enhanced intervention strategy. During the entire , the fan 5 is synchronously operated in a pulse mode of “working for 10 seconds and stopping for 5 seconds” to agitate the air and improve the irradiation uniformity. After the irradiation ends, the system determines whether to extend the disinfection according to the average humidity value remaining in the cavity; if it needs to be extended, the extension amount is calculated by the calculation duration of the formula and is additionally executed.

[0114] The algorithms of all the above modules can be integrated in the device master MCU, or run by a high-performance application processor (AP). The logistic function, minimum function, etc. can be realized by table lookup or floating point operation.

[0115] It should be noted that the high-precision humidity sensor adopts a digital sensor with integrated MEMS heating element (such as Sensirion SHT45), and the sensing head is externally sleeved with a stainless steel sintered sheath, and the inside is filled with expanded polytetrafluoroethylene (ePTFE) waterproof and breathable film. This structure allows water vapor molecules to pass freely for measurement, while completely blocking liquid water, water mist and particulate contaminants. The sensor is mounted on a special mounting seat on the side wall of the cavity and sealed by a fluororubber ring. The system periodically (such as every 10 cycles) or when detecting abnormal readings, starts the self-cleaning heating function of the sensor, briefly heats to 120°C to evaporate the residual moisture, and restores the sensitivity

[0116] As an embodiment of the present application, as shown in Figure 2 and Figure 3 It also includes a water tank connected to the cabinet 1, an environmental sensor array for detecting the temperature and humidity in the cavity, and a control panel 2 and communication module for human-computer interaction, and a partition assembly in the cabinet 1 separates the inner cavity into two functional areas, and a filter screen for filtering return air.

[0117] When working, the two functional areas are the disinfection area and the placement area respectively, the disinfection area is used for disinfecting the articles, and the placement area is used for placing the articles after disinfection.

[0118] It should be noted that the total duration of the disinfection program , the timing allocation sensitivity coefficient , each weight coefficient and , the drying intensity coefficient , the extension intensity coefficient and the corresponding safety threshold and , can be determined by one or a combination of the following methods;

[0119] 1. Preset mode method: the device is preset with fast, standard, powerful and other disinfection modes, each mode corresponds to a set of optimized preset parameter values, and when the user selects the mode through the control panel 2, the system automatically calls the corresponding parameter set.

[0120] 2. Experimental calibration method: during the development of the device, a combination experiment covering different materials, quantities, shapes and contamination levels of articles is designed, and the disinfection effect (microbial kill rate), energy efficiency and article safety are used as evaluation indexes. The orthogonal experiment method or response surface method is used to optimize and determine the parameter values.

[0121] 3. Machine Learning Method: During use, the equipment continuously records the status index of the items being disinfected each time, the parameter values ​​used, and feedback on the disinfection effect (such as user evaluations or third-party test results) to form a training dataset. The weight coefficients are then iteratively optimized using algorithms such as linear regression and support vector machines.

[0122] 4. Safety constraint method: This refers to the upper limit of drying time. and the upper limit of ultraviolet radiation A hard upper limit is set based on the equipment's electrical safety standards, thermal management capabilities, and energy consumption requirements to ensure that any automatic adjustments are within a safe range.

[0123] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A sterilization device for maternal and infant products, comprising a cabinet, a steam generator installed inside the cabinet, an ultraviolet lamp assembly, a fan, and a shelf for carrying items, characterized in that, Also includes: The parameter acquisition and analysis module is used to acquire visual image parameters of items in the disinfection chamber and pressure distribution parameters of the rack in real time, and to preprocess the acquired parameters to generate a normalized item state index. The disinfection mode decision module is used to generate disinfection mode decision coefficients in real time based on the real-time pre-processed item status index through a weighted fusion model. The temporal co-processing analysis module is used to generate temporal co-processing coefficients in real time based on the visual image parameters after real-time preprocessing and the humidity distribution parameters inside the cavity after steam sterilization. The integrated timing allocation module is used to generate dynamic disinfection timing schemes for the high-temperature steam stage and the ultraviolet irradiation stage in real time based on the disinfection mode decision coefficient and timing coordination coefficient generated in real time. The execution control module is used to sequentially control the start-up, shutdown, and power of the steam generator, ultraviolet lamp group, and fan according to the real-time generated dynamic disinfection sequence plan, so as to execute the adaptive disinfection process.

2. A sterilization device for maternal and infant products according to claim 1, characterized in that: The normalized item state index generated by the parameter acquisition and analysis module includes at least the shape complexity index obtained based on visual image analysis. Load density index obtained based on pressure distribution Color absorbance index obtained based on image color analysis Heat resistance index obtained from material database And initial contamination weights based on user input or sensor data. .

3. A sterilization device for maternal and infant products according to claim 2, characterized in that: The specific formula for normalizing the item status index is as follows: in: Let be the perimeter of the object's outline. The area enclosed by the outline of the object. For shape factor, The number of holes in the image of the item. This is a weighting coefficient for the number of holes; For the current reading of a single pressure sensor, The sum of all pressure sensor readings. This represents the maximum range of a single pressure sensor. The sum of the maximum ranges of all sensors; The average grayscale value of the object's surface. This represents the maximum grayscale value. The material type of the item. This is the mapping function from material properties to heat resistance coefficient; The disinfection mode coefficient selected by the user. The turbidity influence coefficient is... This is the reading from the turbidity sensor.

4. A sterilization device for maternal and infant products according to claim 2, characterized in that: The disinfection mode decision module generates disinfection mode decision coefficients. The specific method is as follows: the item state index is imported into a pre-built decision model to generate the index. The decision model is represented as follows: in, This represents the disinfection mode decision coefficient; a higher value indicates that the load is more likely to require a longer steam disinfection time. Let be the weighting coefficients of each index, and satisfy . .

5. A sterilization device for maternal and infant products according to claim 4, characterized in that: The specific steps for the integrated timing allocation module to generate a dynamic disinfection timing plan are as follows: S401, Disinfection mode decision coefficient Substitute into the time series allocation model to calculate the base time of the high-temperature steam stage. Baseline time with ultraviolet radiation phase The time-series allocation model is represented as: in, This is the total duration of the disinfection procedure. For timing-adjusted sensitivity coefficients; S402, combined with timing coordination coefficients The baseline time for the ultraviolet radiation phase Dynamic adjustments are made to form the final execution sequence.

6. A sterilization device for maternal and infant products according to claim 5, characterized in that: The time-series co-analysis module generates time-series co-analysis coefficients. The specific method is as follows: The placement regularity index The humidity difference parameters at multiple points inside the cavity after steam sterilization are substituted into the collaborative evaluation model, which is represented as follows: in, This represents the temporal synergy coefficient; the higher the value, the greater the negative impact of the uniformity of item placement or drying on the disinfection effect. , These are humidity measurements from two typical areas within the cavity; , These are the weighting coefficients.

7. A sterilization device for maternal and infant products according to claim 6, characterized in that: The execution control module is based on the timing coordination coefficient. The ultraviolet irradiation stage is subject to graded dynamic control, specifically as follows: like Then according to Continuous ultraviolet irradiation; like Then It is divided into two ultraviolet radiation periods, with a period of [duration missing] inserted in between. The extended drying period is calculated using the following formula: in, This is the drying strength coefficient. This is the maximum drying time. like Then during execution Simultaneously, the fan is started in a pulse mode, and the total duration of ultraviolet irradiation can be extended based on real-time humidity feedback. The calculation formula is as follows: in, To extend the strength coefficient, This is the maximum permissible extension period.

8. A sterilization device for maternal and infant products according to claim 1, characterized in that: It also includes a water tank connected to the cabinet, an array of environmental sensors for detecting the temperature and humidity inside the cavity, and a control panel and communication module for human-machine interaction.

9. A sterilization device for maternal and infant products according to any one of claims 1-8, characterized in that: The cabinet also includes a partition assembly that divides the interior into two functional areas, as well as a filter for filtering the return air.

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