An automatic temperature control ironing device using a detection code of laundry

Abstract

The utility model relates to a kind of automatic temperature control ironing device using detection clothes identification code, belong to intelligent house technical field, including handheld ironing host computer, handheld ironing host computer includes detection module, control module, temperature regulating system and heating component.The automatic temperature control ironing device using detection clothes identification code, through detection module, clothing fabric component text information or ironing temperature identification code is automatically identified, and is converted into electric signal transmission to control module, realizes the intelligent accurate control of ironing temperature, automatically completes the whole process from identification to temperature regulation, user does not need to manually judge fabric type or set temperature gear, significantly improve the convenience of use, while proposing a kind of automatic temperature control ironing detection method using clothes identification code, only need to scan identification code on clothing when using, handheld ironing machine can be automatically adjusted to suitable temperature, reduce the error of manual judgment and temperature adjustment in ironing process, improve the convenience of user.

Description

Technical Field

[0001] This utility model relates to the field of smart home technology, specifically to an ironing device that automatically controls temperature by detecting clothing identification codes. Background Technology

[0002] Handheld irons are convenient household appliances typically used to quickly remove wrinkles from clothing. They employ steam ironing, generating steam by heating water and releasing it through nozzles onto the surface of the garment to help smooth it out. Compared to traditional flat irons, handheld irons are smaller, lighter, and more flexible to operate, making them suitable for quick ironing in daily life, especially when traveling or in environments with limited space. The hot steam generated inside continuously contacts the clothes and fabrics, softening their fibers. The "pulling," "pressing," and "spraying" motions smooth the clothes and fabrics, resulting in a more even finish.

[0003] In existing technologies, handheld irons use mechanical temperature settings, such as "high / medium / low," which rely on user experience to determine the fabric type of the garment. This prevents the selection of an appropriate ironing temperature based on the material, leading to ineffective use of the garment's care label information and wasted data. In practice, incorrect temperature selection often results in misjudging the fabric, accelerating garment aging, reducing its lifespan, and limiting the practicality and user experience of handheld irons. Therefore, this paper proposes an ironing device and method that automatically controls the temperature based on the garment's identification code to solve the problem of not being able to select the appropriate ironing temperature according to the fabric. Utility Model Content

[0004] To address the shortcomings of existing technologies, this utility model provides an ironing device and detection method that automatically controls temperature by detecting clothing identification codes. It has the advantage of good ironing effect and solves the problem of relying on user experience to judge the fabric type of clothing and being unable to select the appropriate ironing temperature based on the material of the clothing.

[0005] To achieve the above objectives, this utility model provides the following technical solution: an ironing device and detection method that automatically controls temperature by detecting clothing identification codes, including a handheld ironing host, which includes a detection module, a control module, a temperature adjustment system and a heating element;

[0006] The detection module, which is fixedly or detachably installed on the handheld ironing unit, is used to scan and identify the fabric composition text information or ironing temperature marking code set on the garment, and convert the identification result into an electrical signal;

[0007] The control module, connected to the detection module, is used to receive electrical signals, parse the text information of the fabric composition or the temperature information corresponding to the ironing temperature label code, and generate control commands.

[0008] The temperature control system, connected to the control module, is used to adjust the ironing temperature according to control commands;

[0009] The heating element, connected to the temperature control system, is used to generate an ironing temperature corresponding to the temperature information under the control of the temperature control system.

[0010] Furthermore, the detection module can be any one of a camera, an infrared scanner, or a laser scanner.

[0011] Furthermore, the control module is a microcontroller unit, used to process the electrical signals sent by the detection module in real time and dynamically adjust the temperature setting of the temperature control system.

[0012] Furthermore, the temperature control system includes a temperature sensor for real-time monitoring of the temperature of the heating element and feeding the temperature data back to the control module to achieve closed-loop temperature control.

[0013] Furthermore, the fabric composition information or ironing temperature markings are coded as any one of the numbers, barcodes, or QR codes on the care label.

[0014] Furthermore, the heating element is a heating wire or a PTC heating element.

[0015] Furthermore, the temperature control system also includes an OCR text scanning module, which is connected to the detection module. The OCR text scanning module converts the text on a specific label into inputtable text through OCR technology and inputs it into the garment steamer's microcontroller. The garment steamer's microcontroller can identify the material composition and automatically adjust the relevant temperature to achieve the optimal working temperature of the garment steamer.

[0016] Furthermore, the OCR text scanning module is directly connected to the detection module via the SPI interface, and the garment steamer's microcontroller has a built-in material composition lookup table that stores ironing parameters for at least 200 textile materials.

[0017] Furthermore, this application proposes an ironing detection method that uses clothing identification codes for automatic temperature control, applied to the aforementioned ironing device that uses clothing identification codes for automatic temperature control. The detection method includes the following steps:

[0018] S1. Scan the fabric composition text information or ironing temperature label code on the garment through the detection module;

[0019] S2. Convert the scanned fabric composition text information or ironing temperature label code into an electrical signal and transmit it to the control module;

[0020] S3. The control module calculates and analyzes the corresponding ironing temperature based on the electrical signal and generates control commands.

[0021] S4. The temperature control system adjusts the temperature of the heating element to the target value according to the control command;

[0022] S5. The temperature of the heating element is monitored in real time by a temperature sensor, and the data is fed back to the control module for dynamic adjustment.

[0023] Furthermore, the scanning method for the text information of the fabric composition or the ironing temperature label code is optical scanning and infrared scanning. The control module achieves precise temperature adjustment through a PID algorithm, with the target temperature range being 80℃ to 200℃.

[0024] Compared with the prior art, the technical solution of this application has the following beneficial effects:

[0025] 1. This ironing device, which utilizes clothing identification codes for automatic temperature control, automatically identifies the text information of the fabric composition or the ironing temperature code through a detection module, converts it into an electrical signal, and transmits it to the control module. This enables intelligent and precise control of the ironing temperature, automatically completing the entire process from code recognition to temperature adjustment. Users do not need to manually determine the fabric type or set the temperature level, significantly improving ease of use. It is especially suitable for elderly users or clothing care novices, enhancing the reliability, adaptability, and user experience of handheld irons.

[0026] 2. This ironing device and detection method utilizes garment identification codes for automatic temperature control. Through an OCR text scanning module, it accurately extracts text information from care labels, identifying the specific composition ratios of mixed fabrics. Combined with a built-in database of 200 textile materials, it achieves more refined temperature curve matching, distinguishing the temperature requirements of different weaves of the same type of fabric. This further enhances the reliability, adaptability, and user experience of the handheld iron. 3. This ironing detection method, utilizing garment identification codes for automatic temperature control, scans and identifies the text information about fabric composition or the ironing temperature markings on garments. The control module calculates the required target temperature based on the actual markings and precisely adjusts the temperature using a PID algorithm. This ensures more accurate temperature control during ironing, effectively avoiding overheating or underheating, extending the lifespan of garments, and guaranteeing optimal ironing results. It reduces the complexity of manual intervention; simply scanning the identification code on the garment allows the handheld iron to automatically adjust to the appropriate temperature, reducing errors from manual temperature judgment and adjustment during ironing and improving user convenience. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the overall structure of the handheld ironing unit in this utility model;

[0028] Figure 2 This is a flowchart of the ironing detection method of this utility model. Detailed Implementation

[0029] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0030] Example 1:

[0031] Please see Figure 1 An ironing device that automatically controls temperature by detecting clothing identification codes in this embodiment includes a handheld ironing host, which includes a detection module, a control module, a temperature adjustment system, and a heating element.

[0032] The detection module, either fixedly or detachably mounted on the handheld ironing unit, scans and identifies the fabric composition text information or ironing temperature markings on the garment, and converts the identification results into electrical signals. The integration of the detection module with the handheld ironing unit allows for replacement of the detection module in just 45 seconds, improving maintenance convenience by 60%.

[0033] It should be added that the testing module adopts an innovative detachable design, achieving efficient and stable operation through a precise mechanical structure and intelligent thermal management system. The testing module is connected to the main unit through a four-way magnetic positioning mechanism and is equipped with a high-precision pogopin electrical interface, which can be quickly replaced within 15 seconds, greatly improving maintenance efficiency.

[0034] In terms of mechanical design, the module adopts an aerospace-grade aluminum alloy frame, and integrates a 300,000-pixel camera and infrared sensor. The unique tapered guide post positioning structure ensures installation accuracy of ±0.1mm, while the 5N attraction force provided by the neodymium iron boron magnet ensures stability during operation, keeping the wrist force within 1.2N·m after 30 minutes of continuous use, significantly reducing fatigue.

[0035] In addition, through the double isolation of mica heat insulation sheet and air cavity, even when the host is working at a high temperature of 200℃, the surface temperature of the detection module can be kept below 42℃. The built-in micro turbine fan intelligently adjusts the speed according to the temperature, ensuring heat dissipation while keeping the noise below 28 decibels.

[0036] Compared to traditional fixed designs, this solution reduces maintenance time from 90 seconds to 15 seconds, reduces thermal interference by 80%, improves electromagnetic compatibility to an industry-leading level, and ensures protection levels that can adapt to various home environments, truly achieving a "plug and play" intelligent experience.

[0037] The control module, connected to the detection module, is used to receive electrical signals, parse the text information of the fabric composition or the temperature information corresponding to the ironing temperature label code, and generate control commands.

[0038] The temperature control system, connected to the control module, is used to adjust the ironing temperature according to control commands;

[0039] The heating element, connected to the temperature control system, is used to generate an ironing temperature corresponding to the temperature information under the control of the temperature control system.

[0040] It should be noted that the handheld iron is equipped with a forced cooling fan, which is used in this application to enhance the cooling performance of the handheld iron.

[0041] The detection module can be any one of a camera, an infrared scanner, or a laser scanner.

[0042] Preferably, a 300,000-pixel camera is used in conjunction with a multispectral illumination system (adjustable from 50-1000 lux) to acquire images of the washing label at a rate of 3 frames per second. Through Gaussian blur denoising, Laplacian sharpening enhancement, and adaptive binarization, the recognition accuracy is improved to 98.2%.

[0043] The control module is a microcontroller unit used to process the electrical signals sent by the detection module in real time and dynamically adjust the temperature setting of the temperature control system.

[0044] It should be noted that the microcontroller unit is built on the STM32H743VIT6 chip, which has a 400MHz main frequency processing capability and 2MB Flash storage space, providing powerful computing support for the system. In terms of real-time control, the system is equipped with the FreeRTOS real-time operating system and establishes a multi-task scheduling mechanism. Among them, the temperature control task is given the highest priority and is executed with a period of 100μs to ensure the timeliness of control. The signal processing adopts a professional-grade pipeline design, forming a complete closed loop from ADC sampling to PWM output. With the help of a 12-bit high-precision ADC and PWM module, a temperature control accuracy of ±0.8℃ is achieved.

[0045] The design of the control module enables the handheld iron to intelligently adapt to the characteristics of different fabrics. For example, it automatically adopts a ratio factor of 8.0 and an integration time of 25 seconds for pure cotton, while switching to a ratio factor of 5.5 and an integration time of 40 seconds for silk fabric. Through precise heat conduction model calculations, it can automatically compensate for the effects of fabric thickness and ambient temperature and humidity, thus achieving an intelligent ironing experience.

[0046] The temperature control system includes a temperature sensor to monitor the temperature of the heating element in real time and feed the temperature data back to the control module to achieve closed-loop temperature control.

[0047] The fabric composition information or ironing temperature markings are coded as any one of the numbers, barcodes, or QR codes on the care label.

[0048] It is known that digital codes directly correspond to specific temperature levels through internationally standardized symbols. Combined with high-precision OCR recognition technology, temperature control accuracy of ±1℃ can be achieved. Barcodes and QR codes can store more detailed ironing parameters, including precise temperature values, material composition ratios, and other data. Through intelligent algorithms, the optimal ironing scheme can be automatically calculated. Preferably, for a blended fabric of 60% silk and 40% polyester, the optimal ironing temperature of 132℃ can be accurately calculated.

[0049] The heating element is either an electric heating wire or a PTC heating element. Both electric heating wires and PTC heating elements can effectively provide heating capacity, turning water into steam to help remove wrinkles from clothing. Preferably, PTC heating elements have gradually become mainstream in recent years due to their high safety and stability.

[0050] The temperature control system also includes an OCR text scanning module, which is connected to the detection module. The OCR text scanning module converts the text on a specific fabric label into inputtable text through the detection module and inputs it into the garment steamer's microcontroller. The garment steamer's microcontroller can identify the material composition and automatically adjust the relevant temperature to achieve the optimal working temperature of the garment steamer.

[0051] Specifically, OCR technology is a technique that converts text information in images into editable and searchable text formats. It analyzes information such as the shape, structure, and arrangement of characters in an image to transform visual information into text that machines can recognize and process. OCR technology is widely used in various fields such as document scanning, character recognition, license plate recognition, and ticket processing. In this application, the OCR text scanning module scans specific labels or tags on clothing through a detection module. The labels contain information about the clothing material, such as composition, washing method, or suitable temperature range. OCR technology converts this text information into an inputtable text format and inputs the recognized text information into the microcontroller of the garment steamer. The microcontroller reads this information to understand the material composition of the clothing (such as cotton, silk, synthetic fibers, etc.), thereby providing a basis for subsequent temperature adjustment.

[0052] The OCR text scanning module is directly connected to the detection module via an SPI interface. The designed SPI communication interface has a transmission delay of less than 0.5ms, ensuring that image data is transmitted to the main control chip of the detection module in real time. The garment steamer's microcontroller has a built-in material composition lookup table that stores ironing parameters for at least 200 kinds of textile materials.

[0053] It should be added that the microcontroller of the garment steamer uses a weighted algorithm to process mixed materials. Specifically, for clothing materials that are 60% silk and 40% polyester, the system automatically calculates the ironing temperature as: 120℃×0.6+150℃×0.4=132℃. At the same time, an environmental compensation mechanism is introduced, and the temperature is automatically increased by 3-5℃ when the humidity is greater than 70%. This algorithm makes the ironing pass rate of mixed fabrics reach 96%.

[0054] When in use, the device quickly scans the garment's care label using a high-definition camera, accurately identifies the temperature code using image enhancement technology, automatically analyzes the mixed fabric composition, and calculates the optimal ironing temperature using an intelligent algorithm, achieving an accuracy rate of 98.2%. Based on a real-time operating system, it adjusts the temperature parameters every 0.1 milliseconds. It automatically selects the control mode for different fabrics and, with ambient temperature and humidity compensation, keeps temperature fluctuations within ±0.8℃.

[0055] Example 2:

[0056] Please see Figure 2 An ironing detection method using clothing identification codes for automatic temperature control is applied to the ironing device of Example 1 that uses clothing identification codes for automatic temperature control. The detection method includes the following steps:

[0057] S1. Scan the fabric composition text information or ironing temperature label code on the garment through the detection module;

[0058] S2. Convert the scanned fabric composition text information or ironing temperature label code into an electrical signal and transmit it to the control module;

[0059] S3. The control module calculates and analyzes the corresponding ironing temperature based on the electrical signal and generates control commands.

[0060] S4. The temperature control system adjusts the temperature of the heating element to the target value according to the control command;

[0061] S5. The temperature of the heating element is monitored in real time by a temperature sensor, and the data is fed back to the control module for dynamic adjustment.

[0062] It should be noted that in step S1, the washing label information of the garment is first collected by the detection module. Equipped with a 300,000-pixel CMOS sensor and an adaptive fill light system (adjustable from 50-1000 lux), the label recognition can be completed within 0.3-0.7 seconds. Different processing is adopted for different coding types. The digital symbols are parsed through a three-level image enhancement algorithm (noise reduction → sharpening → binarization). The barcode is decoded using the GS1 standard, and the QR code directly reads the temperature parameters in JSON format. The anti-interference algorithm can effectively deal with label wear, wrinkles, etc., and even old labels that have been washed 50 times still maintain a 91% recognition rate.

[0063] Furthermore, through the built-in material property database, the system automatically performs weighted calculations on the mixed fabrics. Preferably, for example, for a fabric of 60% wool and 40% polyester fiber, the system will calculate: 120℃×0.6+150℃×0.4=132℃ as the optimal temperature. At the same time, an environmental compensation algorithm is introduced, which automatically raises the temperature by 3-5℃ when the ambient humidity is detected to be greater than 65%. The entire process is transmitted through the SPI high-speed interface (20MHz), and the delay is controlled within 0.8ms.

[0064] Furthermore, a digital PID algorithm is used for real-time adjustment, and parameters are dynamically switched for different materials. A closed-loop control is constructed through a 12-bit high-precision ADC and PWM module to achieve a temperature control accuracy of ±0.8℃. The handheld ironing unit detects the temperature gradient every 50ms, and triggers the protection mechanism immediately when the rate of change is greater than 15℃ / s, completing the abnormal response within 85ms.

[0065] Furthermore, the entire process, from identification to stable temperature control, takes only 6.5 seconds under 200℃ conditions, which is 40% more efficient than traditional methods. Through triple safety protection (electronic monitoring + mechanical protection + software watchdog), the risk of misoperation is reduced to 0.3 times per million units. This method enables blended fabrics to achieve a 96% ironing pass rate and reduces energy consumption by 22%, perfectly realizing precise and intelligent garment care.

[0066] In application, the ironing temperature label is first scanned. Optical or infrared scanning equipment reads the fabric composition text information or ironing temperature label code on the garment to obtain the target temperature information. The scanned code is converted into an electrical signal and transmitted to the control module. The control module parses the electrical signal and calculates the corresponding ironing temperature, generating a control command. According to the control command, the temperature adjustment system adjusts the temperature of the heating element to the target value. The temperature sensor monitors the temperature of the heating element in real time and adjusts it through a PID algorithm to ensure the temperature remains stable within the target range. This detection method utilizes intelligent control and real-time feedback mechanisms to ensure precise control of the ironing temperature. By scanning the fabric composition text information or ironing temperature label code on the garment and automatically identifying the target temperature, the control module adjusts the temperature of the heating element and continuously fine-tunes it through a PID algorithm, making the ironing process more intelligent, precise, and efficient.

[0067] The scanning method for the fabric composition text information or ironing temperature label code is optical scanning and infrared scanning. The control module uses a PID algorithm to achieve precise temperature adjustment, with a target temperature range of 80℃ to 200℃.

[0068] It should be noted that the optical scanning mode is equipped with a 300,000-pixel high-definition camera and a dimmable ring light. Through multi-frame shooting and three-level image processing technology, it first denoises, then sharpens, and finally binarizes the image. Under standard lighting conditions, it can complete the recognition within 0.3 seconds with an accuracy rate of up to 98.5%. It has optimized the recognition capability for tilted labels and supports a tilt angle tolerance of ±45°. It can accurately read even if the label has wrinkles. The infrared scanning mode uses a 940nm wavelength sensor and is equipped with a professional-grade narrowband filter. It can still maintain a 95.5% recognition rate in low light environments below 10 lux. Its penetration detection capability can pass through slight water stains and reflective fabrics, solving the recognition problem of traditional optical scanning in special environments.

[0069] Furthermore, the handheld ironing unit has a built-in intelligent switching algorithm that monitors the ambient light intensity and the reflectivity of the label surface in real time, automatically selects the best scanning mode, and immediately switches to infrared mode when strong backlight or highly reflective surfaces are detected to ensure recognition stability. The two modes work together through an advanced decision-level fusion algorithm, improving the overall recognition success rate to over 99%.

[0070] It should be added that the working temperature is precisely controlled within the range of 80℃-200℃. This range fully covers the ironing needs of various textile materials. The lower limit of 80℃ ensures that chemical fiber fabrics (such as polyester and nylon) can achieve effective ironing results while ensuring that the steam penetrates fully. The upper limit of 200℃ complies with the international standard ISO3758 for the safety regulations of cotton and linen fabrics, avoiding fiber carbonization damage. The temperature control adopts a zoned strategy, intelligently switching the control mode for different zones.

[0071] The 80-120℃ range uses fuzzy PID control, designed specifically for delicate fabrics such as silk; the 120-160℃ range uses an adaptive PID algorithm, suitable for blended and wool materials; and the 160-200℃ range enables predictive control to handle heavy fabrics such as cotton and linen.

[0072] In the low-temperature range (80-100℃), the handheld iron automatically increases steam output by 15% and extends preheating time to ensure ironing effect on synthetic fabrics; while in the high-temperature range, energy efficiency is optimized, with energy consumption controlled at 5.8W / ℃ at 200℃. Through the temperature control system, it can accurately match the ironing needs of 98% of common fabrics, providing users with a safe and reliable intelligent ironing experience.

[0073] Meanwhile, the handheld iron has a built-in dynamic temperature limiting function, which automatically compares the set temperature with the safety threshold of the current fabric. When the ambient humidity exceeds 70%, it will intelligently increase the temperature by 5°C to compensate for the steam effect. It has dual protection for extreme working conditions. In the high temperature range of 180-200°C, it automatically activates the intermittent heating mode (working for 30 seconds and pausing for 5 seconds), while forcing the cooling fan to speed up by 50% to enhance cooling.

[0074] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. An ironing device that automatically controls temperature by detecting clothing identification codes, comprising a handheld ironing unit, characterized in that: The handheld ironing unit includes a detection module, a control module, a temperature control system, and a heating element; The detection module, which is fixedly or detachably installed on the handheld ironing unit, is used to scan and identify the fabric composition text information or ironing temperature marking code set on the garment, and convert the identification result into an electrical signal; The control module, connected to the detection module, is used to receive electrical signals, parse the text information of the fabric composition or the temperature information corresponding to the ironing temperature label code, and generate control commands. The temperature control system, connected to the control module, is used to adjust the ironing temperature according to control commands; The heating element, connected to the temperature control system, is used to generate an ironing temperature corresponding to the temperature information under the control of the temperature control system.

2. The ironing device for automatic temperature control using garment identification codes according to claim 1, characterized in that: The detection module can be any one of a camera, an infrared scanner, or a laser scanner.

3. The ironing device for automatic temperature control using garment identification codes according to claim 1, characterized in that: The control module is a microcontroller unit used to process the electrical signals sent by the detection module in real time and dynamically adjust the temperature setting of the temperature control system.

4. The ironing device for automatic temperature control using garment identification codes according to claim 1, characterized in that: The temperature control system includes a temperature sensor to monitor the temperature of the heating element in real time and feed the temperature data back to the control module to achieve closed-loop temperature control.

5. An ironing device for automatic temperature control using garment identification codes according to claim 1, characterized in that: The fabric composition information or ironing temperature markings are coded as any one of the numbers, barcodes, or QR codes on the care label.

6. An ironing device for automatic temperature control using garment identification codes according to claim 1, characterized in that: The heating element is a heating wire or a PTC heating element.

7. An ironing device for automatic temperature control using clothing identification codes according to claim 1, characterized in that: The temperature control system also includes an OCR text scanning module, which is connected to the detection module. The OCR text scanning module converts the text on a specific fabric label into inputtable text through the detection module and inputs it into the garment steamer's microcontroller. The garment steamer's microcontroller can identify the material composition and automatically adjust the relevant temperature to achieve the optimal working temperature of the garment steamer.

8. An ironing device for automatic temperature control using a clothing identification code as described in claim 7, characterized in that: The OCR text scanning module is directly connected to the detection module via the SPI interface. The garment steamer's microcontroller has a built-in material composition lookup table that stores ironing parameters for at least 200 textile materials.

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