Eccentricity detection system and method, fabric leveling method, electronic device, and fabric treatment device

Abstract

The embodiment of the application discloses a detection system and method of eccentricity, a fabric leveling method, an electronic device and a fabric processing device, and relates to the technical field of intelligent household appliances. The system comprises a sensor unit and a control unit. The sensor unit comprises a first pressure sensor arranged in the inner cylinder of a fabric cleaning device, which is used for detecting the collision pressure of the fabric in the inner cylinder in real time and transmitting the collision pressure to the control unit. The control unit is used for receiving the collision pressure and determining the eccentricity of the fabric based on the collision pressure. The distribution state of the fabric in the inner cylinder can be reflected in real time. The control module calculates the offset distance of the fabric by analyzing the collision pressure, so as to realize accurate quantification of the eccentricity. Compared with the traditional method of relying on the change of motor current, the present scheme avoids errors caused by different fabric materials and winding states, and significantly improves the detection accuracy and response speed.

Description

Technical Field

[0001] This application relates to the field of smart home appliance technology, and more specifically, to an eccentricity detection system and method, a fabric leveling method, electronic equipment, and fabric processing equipment. Background Technology

[0002] With the continuous improvement of people's living standards and the level of economic and social development, washing machines are becoming increasingly widely used and popular. Using a washing machine to clean clothes can improve washing efficiency while reducing the user's workload. However, due to the complex environment inside the washing machine drum, clothes can easily become eccentric during tumbling and tangling, affecting washing performance and equipment stability. Current technologies mostly determine the eccentricity of the drum by detecting changes in the motor current, but this method may have significant errors or take a long time to detect due to differences in clothing material and tangling patterns, thus extending the overall washing time and making it difficult to prevent drum collisions beforehand. Summary of the Invention

[0003] This application provides an eccentricity detection system and method, a fabric leveling method, an electronic device, and a fabric processing device to at least solve the technical problems in the related field, such as large eccentricity detection errors caused by clothing material and entanglement state, and the inability to predict eccentricity in advance, which leads to collisions with the cylinder.

[0004] According to a first aspect of the embodiments of this application, an eccentricity detection system is provided.

[0005] Includes a sensor unit and a control unit, wherein:

[0006] The sensor unit includes a first pressure sensor installed in the inner cylinder of the fabric cleaning device, which is used to detect the impact pressure of the fabric in the inner cylinder in real time and transmit it to the control unit.

[0007] The control unit receives the impact pressure and determines the eccentricity of the fabric based on the impact pressure.

[0008] This solution utilizes a first pressure sensor to directly collect collision pressure data between the fabric and the inner drum wall, enabling real-time reflection of the fabric's distribution within the drum. The control module analyzes the collision pressure to calculate the fabric's offset distance, thus achieving precise quantification of the eccentricity phenomenon. Compared to traditional methods relying on changes in motor current, this solution avoids errors caused by variations in clothing material and winding patterns, significantly improving detection accuracy and response speed.

[0009] In conjunction with the first aspect, in an optional implementation of the embodiments of this application, the sensor unit further includes a second pressure sensor, which is disposed in the support structure of the outer cylinder and is used to detect the deformation of the support structure;

[0010] The control unit is also used to receive the deformation of the support structure and determine the weight of the fabric based on the deformation of the support structure.

[0011] In this design, a second pressure sensor is embedded in the inner cylinder support structure, enabling real-time monitoring of the deformation of the support structure caused by the fabric weight. By combining the deformation with the mechanical properties of the support structure, the control unit can accurately calculate the fabric weight. This data provides crucial reference for subsequent offset distance calculations, ensuring the accuracy of eccentricity detection. The dual pressure sensing unit design achieves comprehensive perception of the fabric distribution and weight, further enhancing the system's reliability.

[0012] In conjunction with the first aspect, in one optional implementation of the embodiments of this application, the number of pressure sensor units is multiple, and the multiple pressure sensor units are evenly distributed in an array on the inner wall surface of the inner cylinder.

[0013] This solution arranges multiple pressure sensor units in an array, evenly distributed across the inner wall surface of the inner cylinder. This provides comprehensive coverage of all areas of the inner cylinder, ensuring all-around monitoring of the fabric distribution. This arrangement avoids the blind spots that may exist with a single sensor, improving the comprehensiveness and accuracy of pressure data acquisition and laying a solid foundation for subsequent eccentricity calculations.

[0014] According to a second aspect of the embodiments of this application, a method for detecting eccentricity is provided, comprising:

[0015] When the inner drum of the fabric cleaning equipment is rotating, the collision pressure of the fabric on the inner drum is obtained; the eccentricity of the fabric is calculated using the collision pressure.

[0016] This solution utilizes real-time data collection of the impact pressure exerted by the fabric against the inner drum wall during the operation of the fabric cleaning equipment. By combining this data with the spatial distribution characteristics of the impact pressure, the eccentricity of the fabric within the inner drum can be deduced. This technique avoids the limitations of traditional methods that rely on indirect judgments based on changes in motor current, directly reflecting the actual distribution of the fabric and thus improving the accuracy and efficiency of eccentricity detection. Furthermore, the impact pressure-based analysis method is adaptable to fabrics of different materials and entanglement states, significantly shortening detection time and optimizing the overall performance of the washing process.

[0017] In conjunction with the second aspect, in one optional implementation of the embodiments of this application, the eccentricity of the fabric is obtained using collision pressure, including:

[0018] The packing pattern of the fabric is determined based on the impact pressure.

[0019] The eccentricity of the fabric is determined by using the stacking pattern, the weight of the fabric, and the rotation parameters of the inner cylinder.

[0020] This method first uses the spatial distribution characteristics of collision pressure to inversely calculate the fabric's packing pattern in the inner drum. This packing pattern reflects the actual distribution of the fabric within the inner drum, providing fundamental data for subsequent eccentricity calculations. Based on this, and combining the fabric's weight information and the inner drum's rotation parameters (such as rotation speed and direction), the fabric's eccentricity is derived through a mathematical model. This process considers not only the fabric's static distribution characteristics but also its mechanical properties under dynamic rotation conditions, ensuring the accuracy and reliability of the eccentricity calculation results.

[0021] In conjunction with the second aspect, in an optional implementation of this application embodiment, the impact pressure includes multiple pressure data arrayed on the inner cylinder surface, and determining the fabric stacking morphology based on the impact pressure includes:

[0022] Based on multiple pressure data points distributed across the array, a pressure distribution matrix is ​​obtained;

[0023] The pressure distribution matrix is ​​solved in reverse to obtain the fabric packing pattern.

[0024] This solution employs an array-type pressure acquisition system by arranging multiple pressure sensors on the surface of the inner cylinder. Each sensor collects the pressure value at its location in real time, and these pressure values ​​are combined to form a pressure distribution matrix. A mathematical algorithm is then used to inversely solve the pressure distribution matrix, reconstructing the three-dimensional packing morphology of the fabric within the inner cylinder. This technique can accurately capture the detailed distribution of the fabric within the inner cylinder, and is particularly suitable for analyzing the distribution of fabrics under complex winding conditions, providing high-precision input data for subsequent eccentricity calculations.

[0025] In conjunction with the second aspect, in one optional implementation of the embodiments of this application, the eccentricity of the fabric is determined using the stacking pattern, the weight of the fabric, and the rotation parameters of the inner cylinder, including:

[0026] A three-dimensional point cloud model of the fabric is constructed using the stacking morphology and the rotation parameters of the inner cylinder.

[0027] The eccentricity of the fabric is determined based on the 3D point cloud model and the weight of the fabric.

[0028] The above method first constructs a three-dimensional point cloud model of the fabric based on its stacking morphology and the rotation parameters of the inner cylinder. This 3D point cloud model visually displays the spatial distribution of the fabric within the inner cylinder, and quantifies the fabric's distribution characteristics through point cloud density and positional information. Subsequently, by combining the fabric's weight with the calculated centroid position, this is compared to the center position of the inner cylinder to determine the eccentricity. This method achieves a high-precision description of the fabric distribution through 3D modeling technology, significantly improving the accuracy of eccentricity calculation.

[0029] In conjunction with the second aspect, in an optional implementation of the embodiments of this application, the method further includes:

[0030] When the inner cylinder of the fabric cleaning equipment is in a stationary state, the deformation of the supporting structure of the outer cylinder is obtained;

[0031] The weight of the fabric is determined based on the deformation of the supporting structure.

[0032] Using the above method, during the stationary phase of the inner cylinder, the weight of the fabric is transferred to the support arm, causing a certain deformation in the support arm. By collecting the deformation of the support arm with sensors and combining it with the material properties and structural parameters of the support arm, the weight of the fabric can be accurately calculated. This method eliminates the need for additional weighing devices, utilizing existing structures to achieve weight measurement, simplifying system design and reducing costs.

[0033] According to a third aspect of the embodiments of this application, the present invention provides a method for flattening fabric, comprising:

[0034] The eccentricity and stacking pattern of the fabric in the fabric cleaning equipment are determined according to the eccentricity detection method of any of the second aspects.

[0035] When the stacking pattern indicates uneven fabric distribution or the eccentricity is greater than the preset eccentricity threshold, an automatic leveling procedure is executed.

[0036] The above-described scheme activates an automatic leveling program when uneven fabric distribution or an eccentricity exceeding a preset threshold is detected. This program redistributes the fabric by adjusting the inner drum's rotation speed and direction until the eccentricity decreases to within the threshold range. This process effectively prevents the inner drum from colliding with the other drum due to excessive eccentricity, while simultaneously improving washing performance and equipment stability.

[0037] In conjunction with the third aspect, in an optional implementation of the embodiments of this application, the method further includes:

[0038] The eccentricity threshold is corrected based on the threshold adjustment model, which is trained based on historical collision pressure and user feedback information.

[0039] When the stacking pattern indicates uneven fabric distribution or an eccentricity greater than a preset eccentricity threshold, an automatic leveling procedure is executed, including:

[0040] When the stacking pattern indicates uneven fabric distribution or the eccentricity is greater than the corrected eccentricity threshold, an automatic leveling procedure is executed.

[0041] The above approach utilizes a threshold adjustment model trained on historical collision pressure data and user feedback to dynamically adjust the eccentricity threshold. Specifically, the model analyzes the collision pressure distribution patterns in historical data and user evaluations of the washing effect to optimize the threshold setting, making it more aligned with actual usage needs. This method improves the system's intelligence and enhances the user experience.

[0042] According to a fourth aspect of the embodiments of this application, the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the control method of the eccentricity detection system of the first aspect or any corresponding embodiment described above.

[0043] According to a fifth aspect of the embodiments of this application, the present specification provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement a control method for an eccentricity detection system as described in any of the preceding claims.

[0044] According to a sixth aspect of the embodiments of this application, this specification provides a computer program product or computer program, the computer program product including a computer program stored in a computer-readable storage medium; a processor of the computer device reads the computer program from the computer-readable storage medium, and when the processor executes the computer program, it implements a control method for an eccentricity detection system as described in any of the preceding claims.

[0045] According to a seventh aspect of the embodiments of this application, the present specification provides a fabric processing apparatus, which includes an eccentricity detection system as described in any of the first aspects, or employs an eccentricity detection method as described in any of the second aspects, or employs a fabric leveling method as described in any of the third aspects, or has electronic equipment as described in the fourth aspect.

[0046] The technical effects achieved by the second to seventh aspects mentioned above are similar to those achieved by the corresponding technical means in the first aspect, and will not be repeated here. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the eccentricity detection system provided in the embodiments of this application;

[0048] Figure 2 This is a schematic diagram of the fabric processing equipment provided in the embodiments of this application;

[0049] Figure 3 This is a schematic diagram of the structure of a compressed film provided in an embodiment of this application;

[0050] Figure 4 This is a schematic flowchart of an eccentricity detection method provided in an embodiment of this application;

[0051] Figure 5 This is a schematic flowchart of a fabric leveling method provided in an embodiment of this application;

[0052] Figure 6 This is a schematic diagram of the structure of an eccentricity detection device provided in an embodiment of this application;

[0053] Figure 7 This is a schematic diagram of the structure of a fabric leveling device provided in an embodiment of this application;

[0054] Figure 8 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0055] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0056] It should be understood that "multiple" as mentioned herein refers to two or more. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. In addition, to facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first," "second," etc., are used in the embodiments of this application to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or execution order, and the terms "first," "second," etc., do not necessarily imply that they are different.

[0057] Furthermore, the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or apparatus.

[0058] With the continuous improvement of people's living standards and the level of economic and social development, washing machines are becoming increasingly widely used and popular. Using a washing machine to clean clothes can improve washing efficiency while reducing the user's workload. However, due to the complex environment inside the washing machine drum, clothes can easily become eccentric during tumbling and tangling, affecting washing performance and equipment stability. Current technologies mostly determine the eccentricity of the drum by detecting changes in the motor current, but this method may have significant errors or take a long time to detect due to differences in clothing material and tangling patterns, thus extending the overall washing time and making it difficult to prevent drum collisions beforehand.

[0059] This application provides an eccentricity detection system for use in fabric processing equipment. The system, as follows: Figure 1 As shown, the eccentricity detection system includes a sensor unit 101 and a control unit 102, wherein:

[0060] The sensor unit 101 includes a first pressure sensor disposed in the inner cylinder of the fabric cleaning device, used to detect the impact pressure of the fabric in the inner cylinder in real time and transmit it to the control unit; the control unit 102 is used to receive the impact pressure and determine the eccentricity of the fabric based on the impact pressure. The sensor unit 101 also includes a second pressure sensor disposed in the support structure of the outer cylinder, used to detect the deformation of the support structure; the control unit 102 is also used to receive the deformation of the support structure and determine the weight of the fabric based on the deformation of the support structure.

[0061] During actual operation, when the washing equipment starts, the inner drum begins to rotate. The first pressure sensor monitors the dynamic impact pressure of the fabric against the drum wall in real time through its contact point with the inner drum surface. This impact pressure data reflects the distribution of the fabric under centrifugal force and is transmitted to the control unit via a signal line. Simultaneously, a second pressure sensor is embedded in a key part of the inner drum support structure, capable of sensing the deformation of the support structure due to the weight of the fabric. The support structure is typically made of a material with a certain degree of rigidity, and its deformation has a specific mechanical relationship with the fabric weight. Based on the degree of deformation collected by the second pressure sensor, combined with the material properties and geometric parameters of the support structure, the control unit calculates the weight of the fabric. This process ensures accurate reference data required for subsequent offset distance calculations.

[0062] like Figure 2 As shown, this is an example of a fabric processing device in an embodiment of this disclosure, and its structure is as follows: Figure 2As shown, the washing machine includes: 1. an outer drum; 2. an inner drum (with a piezoelectric diaphragm) for detecting dynamic pressure and shape of clothes; 3. a top cover connecting the two upper support rods of the outer drum via hinges; 4. side panels; 5. a front panel; 6. a base connecting the two lower support rods of the outer drum via hinges; 7. a piezoelectric ceramic sheet and circuitry installed inside the four support columns; 8. a motor for adjusting the inner drum's speed and direction; and 9. a belt connecting the motor and the inner drum. A pressure sensor array is installed on the inner wall surface of the inner drum as a pressure sensor. Using a piezoelectric diaphragm in a diamond grid layout, multiple sensing nodes are set to cover the inner surface area of ​​the drum, detecting the collision pressure of clothes in real time. By dynamically generating a three-dimensional point cloud model of the clothes, real-time detection of clothing eccentricity is achieved, triggering a clothes leveling program. This allows for detection before eccentricity occurs, thus playing a predictive role. Specifically, the sensor includes a piezoelectric diaphragm and a piezoelectric ceramic sheet. The piezoelectric diaphragm, in a diamond grid layout, detects the collision pressure of clothes in real time and generates a digital matrix. The piezoelectric ceramic sheet detects the pressure deformation of the four support arms of the inner drum. The control module includes a logic control module, which is responsible for processing the data sent by the detection equipment and controlling the working mode of external equipment. It can connect to external equipment such as motors (to control speed and direction) and spray valves.

[0063] Inner cylinder inner wall array as Figure 3 As shown, a piezoelectric thin film is used in a diamond-shaped grid layout, for example, with a density of 5×5cm / unit, for a total of N sensing nodes, such as 120, covering the inner surface area of ​​the inner drum to detect the impact pressure of clothing in real time. Each piezoelectric thin film is connected to an independent charge amplifier, and the analog signal is converted into a digital matrix (24-bit ADC signal) through time-division multiplexing (TDM) technology and transmitted to the logic control module. The piezoelectric thin film, as a passive sensor, does not require an external power supply. Its working principle is based on the piezoelectric effect; when clothing impacts or the inner drum vibrates, causing deformation of the film, a charge signal is generated inside, and the amount of charge is proportional to the applied mechanical stress. This characteristic allows it to generate an electrical signal without an external power source during sensing. The original signal generated by the piezoelectric thin film is a weak charge and needs to be processed by a signal conditioning circuit. A slip ring is designed at the inner drum's rotation axis to prevent wire entanglement.

[0064] The cantilever beam support structure array has piezoelectric ceramic sheets (assumed to be 5×5mm in this embodiment) embedded inside the four sets of support arms of the inner cylinder. The micro-deformation Δl of the support structure is monitored at a certain sampling rate (assumed to be 0.1μm in this embodiment).

[0065] This invention provides a method for detecting eccentricity, which will be described below in conjunction with... Figure 4 The technical solution of the present invention will be described in detail below. The method includes the following processing steps.

[0066] S401: When the inner drum of the fabric cleaning equipment is in the rotating stage, obtain the impact pressure of the fabric in the inner drum.

[0067] In practice, during the inner cylinder rotation phase, the inner cylinder begins to rotate under the action of the drive motor. Under centrifugal force, the fabric gradually moves towards the inner cylinder wall, generating collision pressure. A collision pressure sensor collects the collision pressure data between the fabric and the inner cylinder wall in real time and transmits this data to the control system.

[0068] In this step, the weight of the fabric also needs to be determined. This can be obtained through measurement or user input. In one possible embodiment, the measurement can be performed when the inner cylinder is stationary. Specifically, the weight of the fabric is transferred through the inner cylinder to the support arm, causing the support arm to deform. A deformation sensor collects the deformation of the support arm and transmits this data to the control system. The control system calculates the weight of the fabric based on the material properties and structural parameters of the support arm. For example, in one embodiment, the support arm is made of steel with an elastic modulus of 200 GPa, with a rectangular cross-section of 10 mm × 20 mm. When the deformation sensor detects a deformation of 0.5 mm in the support arm, the control system calculates the weight of the fabric to be 5 kg using Hooke's Law. This process eliminates the need for an additional weighing device, utilizing the existing structure for weight measurement, simplifying system design and reducing costs.

[0069] Specifically, during the drum's stationary phase, the weight of the clothing mixture is calculated using the deformation of the piezoelectric ceramic in the support arm:

[0070] ;

[0071] in, The elastic coefficient of the support arm, For deformable variables, It is the acceleration due to gravity. For weight.

[0072] S402: Determine the fabric packing pattern based on collision pressure.

[0073] In practice, the control system processes the collision pressure data to determine the fabric's packing pattern. The packing pattern is described by a three-dimensional model along the x, y, and z axes, specifically represented by pressure. Specifically, the control system first performs a reverse calculation on the collision pressure data to obtain the fabric's packing pattern. This reverse calculation process involves decomposing the distribution characteristics of the collision pressure and reconstructing the spatial distribution of the fabric within the inner cylinder by combining the inner cylinder's geometry and rotational characteristics. For example, in one embodiment, the inner cylinder is cylindrical with a diameter of 500 mm and a rotational speed of 60 rpm. Pressure data collected by the collision pressure sensor indicates that the pressure in a certain area of ​​the inner cylinder wall is significantly higher than in other areas. By performing a reverse calculation on the pressure data, the control system infers that there is concentrated fabric packing in that area, thus determining the fabric's packing pattern.

[0074] Specifically, during the drum rotation phase, at regular time intervals T (assumed to be 30 seconds in this embodiment), the piezoelectric distribution matrix output by the piezoelectric thin film array is used to inversely solve the clothing accumulation pattern based on finite element analysis.

[0075] Based on the pressure distribution matrix output by the piezoelectric thin film array, the clothing accumulation pattern is solved inversely using the finite element method (FEA):

[0076] ;

[0077] in: For pressure field, For clothing density, Centrifugal acceleration, (Water viscosity coefficient), combined with the roller rotational velocity (collected from encoder data), dynamically generates a 3D point cloud model of the clothing, with a resolution of mesh density, for example, density 5. For clothing density, the rise time of impact pressure on a piezoelectric thin surface is utilized. Distinguish by material, for example, when making cotton clothing (Flexible impact); Metal ornaments (Rigid impact).

[0078] S403: Determine the eccentricity of the fabric using the stacking pattern, the weight of the fabric, and the rotation parameters of the inner cylinder.

[0079] In practice, after obtaining the fabric's stacking pattern, the control system further calculates the fabric's eccentricity using the stacking pattern, fabric weight, and the rotation parameters of the inner cylinder. Specifically, the control system first constructs a three-dimensional point cloud model of the fabric based on the stacking pattern and the rotation parameters of the inner cylinder. The three-dimensional point cloud model can intuitively display the spatial distribution of the fabric within the inner cylinder and quantify the fabric's distribution characteristics through the point cloud density and position information in the model. Subsequently, the control system calculates the fabric's center of mass position based on its weight and compares it with the center position of the inner cylinder to obtain the eccentricity. For example, in one embodiment, the three-dimensional point cloud model shows that the fabric is mainly concentrated in the left side region of the inner cylinder, and the point cloud density in this region is relatively high. The control system calculates, based on the fabric weight of 5 kg, that the fabric's center of mass is located 100 mm to the left of the inner cylinder center, thus obtaining an eccentricity of 100 mm. This process achieves a high-precision description of the fabric distribution through three-dimensional modeling technology, significantly improving the accuracy of the eccentricity calculation.

[0080] Specifically, define mass eccentricity. :

[0081] ;

[0082] in, For the quality of the i-th network unit, This is the distance from the unit centroid to the roller axis.

[0083] After determining the eccentricity, the present invention also provides a method for flattening fabric, which will be described below in conjunction with... Figure 5 The technical solution of the present invention will be described in detail below. The method includes the following processing steps.

[0084] S501: Determine the eccentricity and stacking pattern of the fabric in the fabric cleaning equipment.

[0085] S502: When the stacking pattern indicates uneven fabric distribution or the eccentricity is greater than the preset eccentricity threshold, execute the automatic leveling procedure.

[0086] In practice, after determining the fabric eccentricity, the control system decides whether an automatic leveling program is needed. If the stacking pattern indicates uneven fabric distribution or the eccentricity exceeds a preset eccentricity threshold, the control system initiates the automatic leveling program. The automatic leveling program redistributes the fabric by adjusting the inner drum's rotation speed and direction until the eccentricity drops below the threshold range. For example, in one embodiment, the control system sets the eccentricity threshold to 10mm. When an eccentricity of 20mm is detected, the control system initiates the automatic leveling program, increasing the inner drum's rotation speed from 60rpm to 80rpm and reversing the rotation direction. After a period of adjustment, the fabric is redistributed, and the eccentricity drops to 8mm, meeting the threshold requirement. This process effectively avoids inner drum collisions caused by excessive eccentricity, while improving washing performance and equipment stability.

[0087] To further optimize system performance, this invention also introduces a threshold adjustment model. This model can be a CNN-LSTM hybrid model, trained based on historical collision pressure data and user feedback, capable of dynamically adjusting the eccentricity threshold. Specifically, the control system records collision pressure distribution data for each washing cycle and optimizes the threshold setting based on user feedback. For example, in one embodiment, the control system analyzes the collision pressure distribution patterns over the past 100 washing cycles and, based on user evaluations of the washing effect, adjusts the eccentricity threshold from 50mm to 40mm. This method improves the system's intelligence level and enhances the user experience.

[0088] In addition, the control system can generate fabric distribution heat maps and washing recommendations. The fabric distribution heat map, generated based on the packing pattern, visually displays the distribution of fabric within the inner drum. The control system displays the heat map on the control panel of the fabric cleaning equipment, allowing users to monitor the fabric distribution in real time and manually adjust washing parameters as needed. Washing recommendations are personalized guidance information generated based on eccentricity and packing pattern. For example, when the eccentricity is large, the control system suggests that users adjust the fabric loading method or select a lower rotation speed mode. Washing recommendations are pushed to the user's mobile terminal via a wireless communication module, allowing users to make necessary adjustments before washing, thus avoiding washing failures or equipment damage caused by excessive eccentricity.

[0089] In one example, combined as Figure 4 and Figure 5 The methods for detecting eccentricity and flattening fabric are detailed below:

[0090] When the fabric cleaning equipment is running, the first step is to determine the weight of the fabric. Deformation sensors collect the deformation of the support arm and transmit the data to the control system. The control system calculates the weight of the fabric based on the material properties and structural parameters of the support arm. For example, in one embodiment, the support arm is made of steel with an elastic modulus of 200 GPa and a cross-sectional dimension of 10 mm × 20 mm. When the deformation sensor detects a deformation of 0.5 mm in the support arm, the control system uses Hooke's Law to determine that the weight of the fabric is 5 kg. This process eliminates the need for an additional weighing device, achieving weight measurement through the existing structure, thus simplifying the system design.

[0091] Next, the inner cylinder rotates. Driven by a motor, the inner cylinder begins to rotate, and the fabric gradually moves towards the inner cylinder wall under centrifugal force, generating impact pressure. Impact pressure sensors collect real-time data on the fabric's impact pressure on the inner cylinder wall and transmit this data to the control system. The control system performs inverse calculations on the impact pressure data to determine the fabric's packing pattern. For example, in one embodiment, the inner cylinder diameter is 500 mm and the rotation speed is 60 rpm. The data collected by the impact pressure sensors indicates that the pressure in a certain area is significantly higher than in other areas. By decomposing the pressure distribution characteristics and combining this with the inner cylinder's geometry and rotational characteristics, the control system infers that there is concentrated fabric packing in that area, thus determining the fabric's packing pattern.

[0092] After obtaining the fabric's packing morphology, the control system further constructs a three-dimensional point cloud model of the fabric. This 3D point cloud model, generated based on the packing morphology and the rotation parameters of the inner cylinder, visually displays the spatial distribution of the fabric within the inner cylinder and quantifies the fabric's distribution characteristics through point cloud density and positional information. Subsequently, the control system calculates the fabric's center of mass position based on its weight and compares it with the center position of the inner cylinder to determine the eccentricity. For example, in one embodiment, the 3D point cloud model shows that the fabric is mainly concentrated in the left side region of the inner cylinder, and this region has a higher point cloud density. Using data showing a fabric weight of 5 kg, the control system calculates that the fabric's center of mass is located 100 mm to the left of the inner cylinder center, thus determining an eccentricity of 100 mm. This process achieves a high-precision description of the fabric distribution through 3D modeling technology.

[0093] After determining the fabric eccentricity, the control system decides whether an automatic leveling procedure needs to be executed. If the stacking pattern indicates uneven fabric distribution or the eccentricity exceeds a preset eccentricity threshold, the automatic leveling procedure is initiated. For example, in one embodiment, the control system sets the eccentricity threshold to 50 mm. When an eccentricity of 100 mm is detected, the control system initiates the automatic leveling procedure, increasing the inner drum's rotation speed from 60 rpm to 80 rpm and adjusting the rotation direction to reverse. After a period of adjustment, the fabric is redistributed, and the eccentricity decreases to 40 mm, meeting the threshold requirement. This process, by adjusting the inner drum's rotation speed and direction, redistributes the fabric, avoiding the inner drum collision problem caused by excessive eccentricity.

[0094] To further optimize system performance, this invention introduces a threshold adjustment model. This model is trained based on historical collision pressure data and user feedback, and can dynamically adjust the eccentricity threshold. For example, in one embodiment, the control system analyzes the collision pressure distribution patterns over the past 100 washing cycles and, combined with user feedback on the washing effect, adjusts the eccentricity threshold from 50mm to 40mm. This method improves the system's intelligence level and enhances the user experience.

[0095] In addition, the control system can generate fabric distribution heat maps and washing recommendations. The fabric distribution heat map, based on the packing pattern, visually displays the distribution of the fabric within the inner drum. The control system displays the heat map on the control panel, allowing users to monitor the fabric distribution in real time and manually adjust washing parameters. Washing recommendations are personalized guidance information generated based on eccentricity and packing pattern. For example, when the eccentricity is large, the control system suggests adjusting the fabric loading method or selecting a lower spin speed mode. These washing recommendations are pushed to the user's mobile device via a wireless communication module, allowing users to make necessary adjustments before washing, thus avoiding washing failures or equipment damage caused by excessive eccentricity.

[0096] Throughout the implementation process, the various components worked closely and in perfect coordination. The impact pressure sensor and deformation sensor were responsible for collecting data on the impact pressure of the fabric against the inner drum wall and the deformation data of the support arm, respectively. This data was transmitted to the control system via signal lines. The control system processed the received data and output control commands, which were transmitted to the drive motor through the drive circuit to adjust the rotational speed and direction of the inner drum. The control panel, connected to the control system, displayed a fabric distribution heat map and received user-input commands. The wireless communication module, also connected to the control system, pushed washing suggestions to the user's mobile device. The interconnections and collaborative methods between the components ensured the efficient operation of the entire system.

[0097] The above embodiments describe in detail the specific implementation steps of the present invention, including determining the fabric weight, collecting and processing collision pressure data, constructing a three-dimensional point cloud model, calculating the eccentricity, executing the automatic leveling program, applying the threshold adjustment model, and generating a fabric distribution heat map and washing suggestions. These steps together constitute a complete system, solving the error problem caused by different clothing materials and tangling states in traditional methods, and significantly improving the stability and washing effect of the washing machine.

[0098] This application embodiment also provides an eccentricity detection device 600, such as... Figure 6 As shown, it includes:

[0099] The acquisition module 601 is used to acquire the collision pressure of the fabric in the inner drum when the inner drum of the fabric cleaning equipment is in the rotation stage. The collision pressure is used to characterize the force exerted by the fabric on the inner drum during rotation.

[0100] The first determining module 602 is used to determine the stacking pattern of the fabric based on the collision pressure.

[0101] Processing module 603 is used to determine the eccentricity of the fabric using the stacking pattern, the weight of the fabric, and the rotation parameters of the inner cylinder.

[0102] This application also provides a fabric leveling device, such as... Figure 7 As shown, it includes:

[0103] The second determining module 701 is used to determine the eccentricity and stacking pattern of the fabric in the fabric cleaning equipment.

[0104] The execution module 702 is used to execute an automatic leveling program when the stacking pattern indicates uneven fabric distribution or the eccentricity is greater than a preset eccentricity threshold.

[0105] This application also provides a computer program product including computer program instructions that, when executed by a processor, cause the processor to perform the steps of the control method for an eccentricity detection system according to various embodiments of this specification as described in the "Exemplary Methods" section above.

[0106] Computer program products can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this specification. The programming languages ​​include object-oriented programming languages ​​such as Java, C++, etc., as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages.

[0107] This application also provides a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor of the steps in the control method of the eccentricity detection system according to various embodiments of this specification as described in the "Exemplary Methods" section above.

[0108] This application also provides an electronic device, including a memory and a processor. The memory stores a control method for an eccentricity detection system, and the processor is used to employ the aforementioned control method for an eccentricity detection system when executing the control method for the eccentricity detection system.

[0109] Specifically, such as Figure 8 As shown, the electronic device includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400, and a memory 500. The communication bus 200 is configured to enable communication between these components. The user interface 300 may include a display screen, and the external communication interface 400 may include standard wired and wireless interfaces. The memory 500 stores a control method for an eccentricity detection system. The processor 100 is used to employ the aforementioned method when executing the control method for the eccentricity detection system stored in the memory 500.

[0110] The descriptions of the above computer program products, computer-readable storage media, and electronic devices are similar to those of the above method embodiments, and have similar beneficial effects. For any technical details not disclosed in the computer program products, computer-readable storage media, and electronic devices of this application, please refer to the descriptions of the method embodiments of this application for understanding.

[0111] The sequence numbers or order of description of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0112] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0113] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0114] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0115] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital versatile disc (DVD)), or a semiconductor medium (e.g., solid state disk (SSD)). It is worth noting that the computer-readable storage medium mentioned in the embodiments of this application can be a non-volatile storage medium; in other words, it can be a non-transient storage medium.

[0116] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.), and signals involved in the embodiments of this application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. For example, the scene data of the current frame in the 3D virtual scene involved in the embodiments of this application, the client's device information, and the scene interaction information are all obtained with full authorization.

[0117] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for detecting eccentricity, characterized in that, include: When the inner drum of the fabric cleaning equipment is rotating, the collision pressure of the fabric in the inner drum against the inner drum is obtained. The stacking pattern of the fabric is determined based on the impact pressure; Using the stacking shape and the rotation parameters of the inner cylinder, a three-dimensional point cloud model of the fabric is constructed; The eccentricity of the fabric is determined based on the three-dimensional point cloud model and the weight of the fabric.

2. The method for detecting eccentricity according to claim 1, characterized in that, The impact pressure includes multiple pressure data distributed in an array on the surface of the inner cylinder, and determining the stacking pattern of the fabric based on the impact pressure includes: Based on multiple pressure data points distributed across the array, a pressure distribution matrix is ​​obtained; The pressure distribution matrix is ​​solved in reverse to obtain the packing pattern of the fabric.

3. The method for detecting eccentricity according to claim 1, characterized in that, The method further includes: When the inner cylinder of the fabric cleaning device is in a stationary state, the deformation of the support structure of the outer cylinder is obtained; The weight of the fabric is determined based on the deformation of the supporting structure.

4. A method for flattening fabric, characterized in that, The method includes: The eccentricity of the fabric in the fabric cleaning equipment is determined according to the eccentricity detection method as described in any one of claims 1-3. When the stacking pattern indicates that the fabric is unevenly distributed or the eccentricity is greater than a preset eccentricity threshold, an automatic leveling procedure is executed, wherein the stacking pattern is determined based on collision pressure.

5. The fabric smoothing method according to claim 4, characterized in that, The method further includes: The eccentricity threshold is corrected according to a threshold adjustment model, which is trained based on historical collision pressure and user feedback information. The step of executing an automatic leveling procedure when the stacking pattern indicates uneven fabric distribution or the eccentricity is greater than a preset eccentricity threshold includes: When the stacking pattern indicates that the fabric distribution is uneven or the eccentricity is greater than the corrected eccentricity threshold, an automatic leveling procedure is executed.

6. A system for detecting eccentricity, characterized in that, Includes a sensor unit and a control unit, wherein: The sensor unit includes a first pressure sensor, which is disposed on the surface of the inner cylinder of the fabric cleaning device and is used to detect the impact pressure of the fabric in the inner cylinder in real time. The control unit is configured to determine the eccentricity of the fabric based on the collision pressure and the eccentricity detection method according to any one of claims 1 to 3.

7. The eccentricity detection system according to claim 6, characterized in that, The sensor unit further includes a second pressure sensor, which is disposed in the support structure of the outer cylinder and is used to detect the deformation of the support structure. The control unit is also configured to receive the deformation of the support structure and determine the weight of the fabric based on the deformation of the support structure.

8. The eccentricity detection system according to claim 7, characterized in that, There are multiple first pressure sensors, and these multiple first pressure sensors are distributed in an array on the surface of the inner cylinder.

9. An electronic device, characterized in that, include: The system includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the eccentricity detection method of any one of claims 1 to 3, or the fabric leveling method of any one of claims 4 or 5.

10. A fabric treatment device, characterized in that, It includes the eccentricity detection system according to any one of claims 6-8, or the eccentricity detection method according to any one of claims 1 to 3, or the fabric leveling method according to any one of claims 4 or 5, or has the electronic equipment according to claim 9.

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