Clothes sterilization method and system based on intelligent scanner and clothes sorting track
Through the intelligent scanner to identify the material of the clothing and match the sorting track, and the ultraviolet lamp disinfection system combined with deep learning algorithms and preset strategies, the problem of targeted sterilization and disinfection of clothing of different materials in the existing technology is solved, and efficient and accurate sterilization and disinfection of clothing is achieved.
Patent Information
- Application Number
- CN202411969447.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-25
AI Technical Summary
In the prior art, when using ultraviolet lamps to sterilize clothes, it is impossible to perform targeted sterilization and disinfection of clothes of different materials.
The intelligent scanner is used to identify the material of the clothing, and the corresponding clothing sorting track is matched through the deep learning algorithm, which drives the clothing to move to the designated sterilization and disinfection area. Each area is equipped with ultraviolet lights and sterilization according to the preset strategy.
Targeted sterilization and disinfection of clothing of different materials is achieved, and clothing is protected, and sterilization efficiency and accuracy are improved.
Smart Images
Figure CN119886176A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of clothing sterilization, and more specifically, to a method and system for sterilizing clothing based on an intelligent scanner and a clothing sorting track. Background Art
[0002] Ultraviolet sterilization is the most effective in destroying the molecular structure of DNA (deoxyribonucleic acid) or RNA (ribonucleic acid) in bacteria and viruses when the wavelength is within the range of 240-280nm, causing the death of growth cells and (or) regenerative cells, thus achieving the effect of sterilization and disinfection. Especially when the wavelength is 253.7, the sterilization effect of ultraviolet rays is the strongest.
[0003] In the prior art, when ultraviolet light is used to sterilize and disinfect clothes, the clothes cannot be sterilized and disinfected in a targeted manner. Summary of the invention
[0004] The purpose of the present application is to provide a method and system for sterilizing clothes based on an intelligent scanner and a clothes sorting track, which can sterilize and disinfect clothes in a targeted manner.
[0005] This application is implemented as follows:
[0006] In a first aspect, the present application provides a method for sterilizing clothing based on an intelligent scanner and a clothing sorting track, wherein the intelligent scanner can identify the material of clothing, and the clothing sorting track can drive clothing to move to a designated sterilization area, and the method comprises:
[0007] Identify clothing materials and classify clothing through smart scanners;
[0008] Based on the material of the clothes, the clothing sorting track is matched through the deep learning algorithm; specifically including:
[0009] Collect multiple clothing materials and corresponding sorting track data as training sets, digitize the clothing material information identified by the intelligent scanner and use it as input data, and use the corresponding sorting track number as the output label; build a deep learning model, including matching materials and tracks based on a neural network architecture, so that the number of neurons in the input layer is equal to the dimension of the clothing material characteristics, and the clothing materials correspond to the sorting tracks one by one, so as to obtain a deep learning model; train the model, input the training set into the constructed deep learning model, the deep learning model predicts the corresponding sorting track according to the input clothing material characteristics, and uses the loss function to measure the difference between the model prediction result and the true label. Through the back propagation algorithm, the weight of the deep learning model is updated according to the gradient calculated by the loss function, and the weight is repeatedly updated until the model converges; evaluate and optimize the model, use an independent test data set to evaluate the performance of the trained deep learning model, and if the performance of the deep learning model does not meet the standard, optimize the deep learning model by adjusting the model's hyperparameters;
[0010] The clothes of different materials are hung on the corresponding clothes sorting tracks through the clothes drying racks. The clothes sorting tracks drive the clothes to move to the designated sterilization and disinfection areas. Each sterilization and disinfection area is equipped with a corresponding ultraviolet lamp.
[0011] When it is detected that there are clothes in the current sterilization and disinfection area, the ultraviolet lamp in the sterilization and disinfection area is driven to sterilize and disinfect the clothes according to a preset strategy; the above-mentioned preset strategy includes: setting the irradiation time, intensity and interval of the ultraviolet lamp, setting the irradiation time of the ultraviolet lamp includes defining the irradiation time as a first preset time, setting the irradiation intensity of the ultraviolet lamp includes adjusting the power of the lamp to the preset power, and setting the interval of the ultraviolet lamp includes detecting that after the irradiation time ends, irradiating the clothes again according to the irradiation time after a second preset time.
[0012] Based on the first aspect, it also includes:
[0013] Each sterilization and disinfection area is provided with a switch button of the ultraviolet lamp. When the selection of the switch button of the ultraviolet lamp is detected, the ultraviolet lamp in the sterilization and disinfection area sterilizes and disinfects the clothes according to a preset strategy.
[0014] Based on the first aspect, the above-mentioned sterilization and disinfection area includes a wool material area, and the above-mentioned preset strategy includes setting the irradiation time of the wool material area to 10 minutes and the irradiation intensity to 20μW / cm 2 .
[0015] Based on the first aspect, the above-mentioned smart scanner adopts an X-spect smart scanner, and the above-mentioned X-spect smart scanner uses near-infrared spectroscopy technology (NIR) to analyze the molecular structure and chemical composition of clothing, so as to identify the material of clothing.
[0016] Based on the first aspect, the ultraviolet lamp is electrically connected to a battery, and the battery is powered by a solar panel.
[0017] Based on the first aspect, it also includes:
[0018] After detecting that the clothes have been sterilized and disinfected, the clothes sorting track moves the clothes to the designated drying area.
[0019] In a second aspect, the present application provides a clothing sterilization system based on an intelligent scanner and a clothing sorting track, wherein the intelligent scanner can identify the material of clothing, and the clothing sorting track can drive clothing to move to a designated sterilization area, and the system comprises:
[0020] Identification module, used to identify clothing materials through intelligent scanners and classify clothing;
[0021] The matching module is used to match the clothing sorting track based on the clothing material through a deep learning algorithm;
[0022] A sorting module is used to hang clothes of different materials on corresponding clothes sorting tracks through clothes drying racks. The clothes sorting tracks drive the clothes to move to designated sterilization areas. Each sterilization area is provided with a corresponding ultraviolet lamp;
[0023] The sterilization module is used to drive the ultraviolet lamp in the current sterilization area to sterilize and disinfect the clothes according to a preset strategy when detecting that there are clothes in the current sterilization area.
[0024] In a third aspect, the present application provides an electronic device, including:
[0025] A memory for storing one or more programs;
[0026] processor;
[0027] When the one or more programs are executed by the processor, the method is implemented.
[0028] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above method when executed by a processor.
[0029] Compared with the prior art, the present invention has at least the following advantages or beneficial effects:
[0030] The present application provides a method and system for sterilizing clothes based on an intelligent scanner and a clothes sorting track. The intelligent scanner is used to identify the material of clothes and classify the clothes; clothes of different materials are moved to a designated area, and the ultraviolet lamps in the sterilization and disinfection area are driven to sterilize and disinfect the clothes according to a preset strategy; clothes of different materials can be sterilized and disinfected to protect the clothes. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0032] Figure 1 A flowchart of a method for sterilizing clothing based on an intelligent scanner and a clothing sorting track is provided for this application;
[0033] Figure 2 This is a schematic diagram of the structure of a sorting track in a method for sterilizing clothing based on an intelligent scanner and a clothing sorting track in the present application;
[0034] Figure 3 This is a schematic diagram of the structure of an ultraviolet lamp in a method for sterilizing clothing based on an intelligent scanner and a clothing sorting track in this application;
[0035] Figure 4 This is a schematic diagram of the structure of solar panels and batteries in a method for sterilizing clothes based on an intelligent scanner and a clothes sorting track in this application;
[0036] Figure 5 This is a structural schematic diagram of an embodiment of a clothing sterilization system based on an intelligent scanner and a clothing sorting track of the present application;
[0037] Figure 6 This is a structural schematic diagram of an electronic device of the present application.
[0038] icon:
[0039] 1. Installation platform; 2. Sorting track; 3. Switch button; 4. Solar panel; 5. Controller; 6. Battery; 7. Inverter; 8. Installation frame; 9. Ultraviolet lamp; 10. Identification module; 11. Matching module; 12. Sorting module; 13. Sterilization module; 14. Processor; 15. Memory; 16. Communication interface. DETAILED DESCRIPTION
[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.
[0041] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.
[0042] Example
[0043] The embodiment of the present application provides a method and system for sterilizing clothes based on an intelligent scanner and a clothes sorting track 2, which can sterilize and disinfect clothes in a targeted manner.
[0044] Please refer to Figure 1 The present application provides a method for sterilizing clothes based on an intelligent scanner and a clothes sorting track 2. The intelligent scanner can identify the material of clothes, and the clothes sorting track 2 can drive the clothes to move to a designated sterilization area. The method includes:
[0045] S1: Identify clothing materials through intelligent scanners and classify clothing;
[0046] Specifically, the smart scanner is preferably an X-spect smart scanner, which uses near infrared spectroscopy (NIR) technology to analyze the molecular structure and chemical composition of clothing, thereby identifying clothing materials and classifying clothing. The purpose of classification is to optimize subsequent processing procedures to ensure that each type of clothing can be properly processed, thereby improving overall efficiency and accuracy.
[0047] S2: Based on the clothing material, the clothing sorting track 2 is matched through the deep learning algorithm;
[0048] Specifically, in the data preparation stage: First, a large amount of clothing material and corresponding sorting track data need to be collected as a training set. This data can be obtained through manual annotation, such as recording the correct sorting track number corresponding to each clothing material (such as cotton, polyester, wool, etc.). For example, in the sorting system of a garment factory, cotton clothing is usually sorted to track 1, polyester clothing is sorted to track 2, etc. At the same time, the clothing material information identified by the intelligent scanner is digitized. For example, different materials can be represented by different digital codes, cotton is 1, polyester is 2, wool is 3, etc. These digitized material information are used as input data, and the corresponding sorting track number is used as the output label. Second, build a deep learning model: You can choose a suitable neural network architecture, such as a variant of a multi-layer perceptron (MLP) or a convolutional neural network (CNN). For simple material-track matching tasks, MLP may be sufficient. MLP consists of an input layer, multiple hidden layers, and an output layer. The number of neurons in the input layer is equal to the dimension of the clothing material feature. For example, if 10 digital features are used to represent the clothing material, then the input layer has 10 neurons. The number of neurons in the output layer is equal to the number of sorting tracks. Assuming there are 5 sorting tracks in the system, there are 5 neurons in the output layer. The number of hidden layers and the number of neurons in each hidden layer can be determined by experimentation and adjustment. For example, in a simple model, 2 hidden layers can be set, with 20 neurons in the first hidden layer and 10 neurons in the second hidden layer. Neurons are connected by weights, which will be adjusted continuously during the training process. The third model training process: Input the prepared training data into the constructed deep learning model. During the training process, the model predicts the corresponding sorting track based on the input clothing material characteristics. A loss function is used to measure the difference between the model prediction result and the true label. Common loss functions are mean square error or cross entropy loss. For classification tasks such as sorting track matching, cross entropy loss is more suitable. Through the back propagation algorithm, the weights of the model are updated according to the gradient calculated by the loss function. This process is repeated, and the prediction ability of the model will gradually improve after each weight update. For example, the model may randomly predict the sorting track corresponding to the clothing material at first, and after multiple training iterations, it will match the clothing material and the sorting track more and more accurately. Fourth, model evaluation and optimization: Use an independent test data set to evaluate the performance of the trained model. The clothing materials and sorting track data in the test data set are not seen by the model during the training process. Calculate the accuracy, recall rate and other indicators of the model on the test set to measure the quality of the model; if the model performance is not ideal, you can optimize the model by adjusting the model's hyperparameters (such as learning rate, number of hidden layers, number of neurons, etc.). You can also try to use a more complex neural network architecture or increase the amount and diversity of training data to improve the performance of the model.Finally, the matching process in practical applications: In the actual clothing sorting system, after the intelligent scanner identifies the material of the clothing, its digitized material feature data is input into the trained deep learning model; the model will output a prediction result of the sorting track number. For example, if the model predicts that the sorting track corresponding to the material of a piece of clothing is 3, then the system will guide the clothing to track 3 for sorting. The system can realize the sorting operation of clothing between different tracks through devices such as conveyor belts.
[0049] Specifically, deep learning is a machine learning technology that simulates the learning process of the human brain by building a multi-layer neural network. It has a wide range of applications in image recognition, speech recognition and other fields. In this embodiment, the deep learning algorithm is used to identify the material of clothing. The identified clothing material is matched with the preset sorting track 2. Each sorting track 2 corresponds to a different material, so that the clothing can be classified according to the material. Through different sorting tracks 2, the clothing can be transported to different destinations.
[0050] S3: hang clothes of different materials on the corresponding clothes sorting track 2 through the clothes drying rack, and the clothes sorting track 2 drives the clothes to move to the designated sterilization and disinfection area, and each sterilization and disinfection area is provided with a corresponding ultraviolet lamp 9;
[0051] For details, please refer to Figure 2 The clothing sorting track 2 is arranged at the bottom of the installation platform 1. The clothing sorting track 2 includes a plurality of single tracks. Each single track is provided with a plurality of rings. The clothes are hung on the rings through the clothes drying rack, and the rings will lead the clothes to move to the designated positions. Furthermore, each sterilization and disinfection area can automatically detect that the clothes have arrived at the sterilization and disinfection area, thereby turning on the ultraviolet lamp 9 for disinfection. In addition, a switch button 3 of the ultraviolet lamp 9 is also provided. When the selection of the switch button 3 of the ultraviolet lamp 9 is detected, that is, the user presses the switch button 3 of the ultraviolet lamp 9, the ultraviolet lamp 9 in the sterilization and disinfection area sterilizes and disinfects the clothes according to the preset strategy. Please refer to Figure 3 The ultraviolet lamp 9 is arranged in the mounting frame 8, and each mounting frame 8 corresponds to a sterilization and disinfection area. Through such an arrangement, the efficiency and accuracy of clothing treatment are improved, and at the same time, it is ensured that the clothing can be properly sterilized and disinfected.
[0052] S4: When it is detected that there are clothes in the current sterilization and disinfection area, the ultraviolet lamp 9 in the sterilization and disinfection area is driven to sterilize and disinfect the clothes according to a preset strategy; the above preset strategy includes: setting the irradiation time, intensity and interval of the ultraviolet lamp 9, setting the irradiation time of the ultraviolet lamp 9 includes defining the irradiation time as a first preset time, setting the irradiation intensity of the ultraviolet lamp 9 includes adjusting the power of the lamp to a preset power, and setting the interval of the ultraviolet lamp 9 includes detecting that after the irradiation time ends, irradiating the clothes again according to the irradiation time after a second preset time.
[0053] Specifically, the presence of clothing to be treated in the sterilization and disinfection area can be detected by a sensor (such as an infrared sensor, a weight sensor, etc.). When the clothing is detected, the ultraviolet lamp 9 in the area is activated (or driven). The ultraviolet lamp 9 will sterilize and disinfect the clothing according to a preset strategy (i.e., a series of rules or conditions). By setting a specific time period (referred to as the first preset time), the ultraviolet lamp 9 will continue to irradiate the clothing during this time period. Setting the irradiation intensity of the ultraviolet lamp 9 includes adjusting the power of the lamp to the preset power: the power of the ultraviolet lamp 9 is also adjusted to achieve a specific irradiation intensity (i.e., the preset power). This intensity is usually determined according to the effect of sterilization and the material of the clothing. After completing one irradiation (i.e., after the first preset time ends), a specific time period (referred to as the second preset time) will be waited. After the waiting is over, the ultraviolet lamp 9 will be started again, and the clothing will be irradiated according to the previously set irradiation time (the first preset time). This interval and the second irradiation process further enhance the effect of sterilization and disinfection. Preferably, the above-mentioned sterilization and disinfection area includes a wool material area, and the above-mentioned preset strategy includes setting the irradiation time of the wool material area to 10 minutes and the irradiation intensity to 20μW / cm 2 .
[0054] Based on the first aspect, the ultraviolet lamp 9 is electrically connected to the battery 6 , and the battery 6 is powered by the solar panel 4 .
[0055] For details, please refer to Figure 4 , the solar panel 4, the controller 5, the battery 6 and the inverter 7 are connected in sequence, the solar panel 4 converts the solar energy into electric energy and stores it in the battery 6, the battery 6 will supply power to the ultraviolet lamp 9 through the inverter 7, the ultraviolet lamp 9 will sterilize the clothes through the preset strategy, and the controller 5 is used to control the irradiation time, intensity and interval of the ultraviolet lamp 9. Solar energy is a clean energy and can reduce pollution to the environment.
[0056] Based on the first aspect, it also includes:
[0057] After detecting that the clothes have been sterilized and disinfected, the clothes sorting track 2 moves the clothes to a designated drying area.
[0058] Specifically, after the sterilization and disinfection step is completed, the clothes are transported from the sterilization and disinfection area to a preset drying location by the clothes sorting track 2. The drying area is used to allow the clothes to dry naturally or further sterilize by sunlight.
[0059] Please refer to Figure 5The present application also provides a clothing sterilization system based on an intelligent scanner and a clothing sorting track 2. The intelligent scanner can identify the material of the clothing, and the clothing sorting track 2 can drive the clothing to move to a designated sterilization area. The system includes:
[0060] The recognition module 10 is used to recognize the material of the clothes through the intelligent scanner and classify the clothes;
[0061] A matching module 11, used to match a clothing sorting track 2 based on clothing material through a deep learning algorithm;
[0062] A sorting module 12 is used to hang clothes of different materials on the corresponding clothes sorting track 2 through the clothes drying rack. The clothes sorting track 2 drives the clothes to move to the designated sterilization area. Each sterilization area is provided with a corresponding ultraviolet lamp 9;
[0063] The sterilization module 13 is used to drive the ultraviolet lamp 9 in the sterilization area to sterilize and disinfect the clothes according to a preset strategy when detecting that there are clothes in the current sterilization area.
[0064] Specifically, for the specific implementation of the clothing sterilization system based on the intelligent scanner and the clothing sorting track 2, please refer to the specific implementation of the clothing sterilization method based on the intelligent scanner and the clothing sorting track 2, which will not be elaborated here.
[0065] Please refer to Figure 6 , the present application also provides an electronic device, including:
[0066] A memory 15, used for storing one or more programs;
[0067] Processor 14; processor 14 is connected to memory 15 via communication interface 16;
[0068] When the one or more programs are executed by the processor 14 , all or part of the methods described above are implemented.
[0069] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by the processor 14, all or part of the above method is implemented.
[0070] It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, and that the present application can be implemented in other specific forms without departing from the spirit or essential features of the present application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present application. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.
Claims
1. A method for sterilizing clothes based on an intelligent scanner and a clothes sorting track, wherein the intelligent scanner can identify the material of the clothes, and the clothes sorting track can drive the clothes to move to a designated sterilization area, characterized in that: The method comprises: Identify clothing materials and classify clothing through smart scanners; Based on the material of the clothes, the clothing sorting track is matched through the deep learning algorithm, including: Collect multiple clothing materials and corresponding sorting track data as training sets, digitize the clothing material information identified by the intelligent scanner and use it as input data, and use the corresponding sorting track number as the output label; build a deep learning model, including matching materials and tracks based on a neural network architecture, so that the number of neurons in the input layer is equal to the dimension of the clothing material characteristics, and the clothing materials correspond to the sorting tracks one by one, so as to obtain a deep learning model; train the model, input the training set into the constructed deep learning model, the deep learning model predicts the corresponding sorting track according to the input clothing material characteristics, and uses the loss function to measure the difference between the model prediction result and the true label. Through the back propagation algorithm, the weight of the deep learning model is updated according to the gradient calculated by the loss function, and the weight is repeatedly updated until the model converges; evaluate and optimize the model, use an independent test data set to evaluate the performance of the trained deep learning model, and if the performance of the deep learning model does not meet the standard, optimize the deep learning model by adjusting the model's hyperparameters; The clothes of different materials are hung on the corresponding clothes sorting tracks through the clothes drying racks. The clothes sorting tracks drive the clothes to move to the designated sterilization and disinfection areas. Each sterilization and disinfection area is equipped with a corresponding ultraviolet lamp. When it is detected that there are clothes in the current sterilization and disinfection area, the ultraviolet lamp in the sterilization and disinfection area is driven to sterilize and disinfect the clothes according to a preset strategy; the preset strategy includes: setting the irradiation time, intensity and interval of the ultraviolet lamp, setting the irradiation time of the ultraviolet lamp includes defining the irradiation time as a first preset time, setting the irradiation intensity of the ultraviolet lamp includes adjusting the power of the lamp to a preset power, and setting the interval of the ultraviolet lamp includes detecting that after the irradiation time ends, irradiating the clothes again according to the irradiation time after a second preset time.
2. A method for sterilizing clothes based on an intelligent scanner and a clothes sorting track according to claim 1, characterized in that: Also includes: Each sterilization and disinfection area is provided with a switch button of the ultraviolet lamp. When the selection of the switch button of the ultraviolet lamp is detected, the ultraviolet lamp in the sterilization and disinfection area sterilizes and disinfects the clothes according to a preset strategy.
3. The method for sterilizing clothes based on an intelligent scanner and a clothes sorting track according to claim 1, characterized in that: The sterilization area includes a wool material area, and the preset strategy includes setting the irradiation time of the wool material area to 10 minutes and the irradiation intensity to 20 μW / cm 2 .
4. The method for sterilizing clothes based on an intelligent scanner and a clothes sorting track according to claim 1, characterized in that: The smart scanner adopts an X-spect smart scanner, which uses near infrared spectroscopy technology (NIR) to analyze the molecular structure and chemical composition of clothing, so as to identify the material of clothing.
5. The method for sterilizing clothes based on an intelligent scanner and a clothes sorting track according to claim 1, characterized in that: The ultraviolet lamp is electrically connected to a storage battery, and the storage battery is powered by a solar panel.
6. A method for sterilizing clothes based on an intelligent scanner and a clothes sorting track according to claim 1 or 2, characterized in that: Also includes: After detecting that the clothes have been sterilized and disinfected, the clothes sorting track moves the clothes to the designated drying area.
7. A clothing sterilization system based on an intelligent scanner and a clothing sorting track, wherein the intelligent scanner can identify the material of clothing, and the clothing sorting track can drive clothing to move to a designated sterilization area, characterized in that: The system comprises: Identification module, used to identify clothing materials through intelligent scanners and classify clothing; The matching module is used to match the clothing sorting track based on the clothing material through a deep learning algorithm; A sorting module is used to hang clothes of different materials on corresponding clothes sorting tracks through clothes drying racks. The clothes sorting tracks drive the clothes to move to designated sterilization areas. Each sterilization area is provided with a corresponding ultraviolet lamp; The sterilization module is used to drive the ultraviolet lamp in the current sterilization area to sterilize and disinfect the clothes according to a preset strategy when detecting that there are clothes in the current sterilization area.
8. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, the method according to any one of claims 1 to 5 is implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.