Calibration method, device, equipment, medium and product of acceleration sensing assembly

Abstract

This application discloses a calibration method, apparatus, device, medium, and product for an accelerometer sensor component, relating to the field of smart home technology. It includes: upon receiving an alarm indicating an unbalanced load in the inner drum of a garment processing device, executing a balance detection program and collecting first acceleration detection data of the inner drum using the accelerometer sensor component; cleaning the first acceleration detection data to obtain data to be calibrated; re-executing the balance detection program and collecting second acceleration detection data of the inner drum using the accelerometer sensor component; verifying the data to be calibrated using the second acceleration detection data; and calibrating the accelerometer sensor component based on the data to be calibrated when the verification result meets a preset verification standard. This application can automatically correct parameter deviations of the accelerometer sensor component, reducing the risk of equipment failure and improving the user experience of the garment processing device.

Description

Technical Field

[0001] This application relates to the field of smart home technology, and in particular to a calibration method, apparatus, device, medium and product for an acceleration sensing component. Background Technology

[0002] With the rapid development of smart technology, users increasingly expect clothing handling equipment (such as washing machines) to become more and more intelligent. After a period of use, external factors (such as component aging or electromagnetic interference) may cause the readings of the acceleration sensing components (such as accelerometers) to deviate from the initial factory calibration values. Existing technology typically uses the detection logic of the accelerometer under normal conditions, but there is no technical solution for accelerometers after the previous cycle of use or under conditions of strong interference. This makes it impossible to update the program parameters in a timely manner, potentially leading to the recurrence of the same fault. Therefore, there is an urgent need to design a method to adjust the parameters of the accelerometer to automatically correct parameter deviations and ensure the stable operation of the clothing handling equipment. Summary of the Invention

[0003] This application provides a calibration method, apparatus, equipment, medium, and product for an acceleration sensing component, which can automatically correct parameter deviations of the acceleration sensing component, reduce severe vibrations and abnormal wear caused by eccentric rotation of the inner drum, reduce equipment failure risks, and improve the user experience of the garment processing equipment.

[0004] In a first aspect, this application provides a calibration method for an acceleration sensing component, applied to a garment processing device, the method comprising:

[0005] When an alarm indicating an imbalance of load is received in the inner drum of the garment processing equipment, a balance detection procedure is executed, and the first acceleration detection data of the inner drum is collected through the acceleration sensing component.

[0006] The first acceleration detection data is cleaned to obtain the data to be calibrated;

[0007] The balance detection procedure is re-executed, and the second acceleration detection data of the inner cylinder is acquired through the acceleration sensing component;

[0008] The second acceleration detection data is used to verify the data to be calibrated. When the verification result meets the preset verification standard, the acceleration sensing component is calibrated based on the data to be calibrated.

[0009] Furthermore, before executing the balance detection procedure, the method further includes: acquiring acceleration data of the inner drum in the garment processing device through the acceleration sensing component; if the acceleration data is greater than the initial calibration value of the acceleration sensing component, then executing the balance detection procedure.

[0010] Furthermore, after acquiring the acceleration data of the inner drum in the garment processing device through the acceleration sensing component, the method further includes: if the acceleration data is not greater than the initial calibration value, detecting whether the operating data of the motor in the garment processing device meets the normal operating standard of the motor; when the normal operating standard of the motor is not met, performing a shaking procedure on the garments in the inner drum.

[0011] Furthermore, the balance detection program involves running the inner drum at a specific speed under no-load conditions; executing the balance detection program includes: generating a clothing removal prompt message, which prompts the user to remove all clothing from the inner drum; when the load on the inner drum is detected to be zero, increasing the speed of the inner drum to the specific speed; and collecting first acceleration detection data of the inner drum through the acceleration sensing component.

[0012] Furthermore, the calibration process of the acceleration sensing component based on the calibration data includes: generating a parameter update program based on the calibration data; updating the initial calibration value in the acceleration sensing component by executing the parameter update program, thereby completing the calibration process of the acceleration sensing component.

[0013] Furthermore, the acceleration sensing component is a multi-axis acceleration sensing component, and the second acceleration detection data consists of multiple sets of detection data. Verifying the data to be calibrated using the second acceleration detection data includes: calculating the difference between each set of detection data and the data to be calibrated in each axial direction; obtaining the error interval in each axial direction; counting the number of detection data sets in which the differences in all axial directions satisfy the corresponding error interval; and calculating the verification result of the data to be calibrated based on the number and the total number of the multiple sets of detection data.

[0014] Secondly, this application provides a calibration device for an acceleration sensing component, integrated into a garment processing device, the device comprising:

[0015] The first data acquisition module is used to execute a balance detection program and acquire the first acceleration detection data of the inner drum through an acceleration sensor component when it receives an alarm for load imbalance of the inner drum in the clothing processing equipment.

[0016] The data cleaning module is used to clean the first acceleration detection data to obtain the data to be calibrated.

[0017] The second data acquisition module is used to re-execute the balance detection program and acquire the second acceleration detection data of the inner cylinder through the acceleration sensing component.

[0018] The sensor component calibration module is used to verify the data to be calibrated using the second acceleration detection data. When the verification result meets the preset verification standard, the acceleration sensor component is calibrated based on the data to be calibrated.

[0019] Thirdly, this application provides a garment processing device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the calibration method of the acceleration sensing component described in any embodiment of this application.

[0020] Fourthly, this application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the calibration method of the acceleration sensing component described in any embodiment of this application.

[0021] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the calibration method for the acceleration sensing component described in any embodiment of this application.

[0022] To address the shortcomings of existing technologies, this application provides a calibration method for an acceleration sensing component. This method offers the following advantages: When an alarm indicating load imbalance in the inner drum of a garment processing device is received, a balance detection program is executed, and the first acceleration detection data of the inner drum is collected using the acceleration sensing component. This quickly captures the movement state of the inner drum and pinpoints the key issue of imbalance. Data cleaning processing is performed on the first acceleration detection data to obtain calibration data, ensuring that the calibration data accurately reflects the actual operating condition of the inner drum and greatly improving diagnostic accuracy. The balance detection program is re-executed, and a second acceleration detection data of the inner drum is collected using the acceleration sensing component. The second acceleration detection data is used to verify the calibration data. Comparing the two sets of data allows for a direct assessment of the effectiveness of correction operations such as garment redistribution and speed adjustment, promptly identifying any remaining imbalance risks and ensuring stable operation of the inner drum. When the verification result meets the preset verification standard, the acceleration sensing component is calibrated based on the calibration data. This application can automatically correct parameter deviations in the acceleration sensing components, reducing severe vibrations and abnormal wear caused by eccentric rotation of the inner drum, and effectively extending the service life of motors, bearings, transmission components, etc. in the equipment. At the same time, it can reduce the risk of equipment failure, ensure long-term stable operation, reduce maintenance costs and downtime, and improve the user experience of the garment processing equipment.

[0023] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the calibration device for the accelerometer component, or it may be packaged separately from the processor of the calibration device for the accelerometer component; this application does not impose any limitations on this.

[0024] The descriptions of the second, third, ... and fifth aspects in this application can be referred to the detailed description of the first aspect; and the beneficial effects of the descriptions of the second, third, ... and fifth aspects can be referred to the analysis of the beneficial effects of the first aspect, which will not be repeated here.

[0025] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description.

[0026] It is understood that before using the technical solutions disclosed in the various embodiments of this application, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this application in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A first flowchart illustrating a calibration method for an acceleration sensing component provided in an embodiment of this application;

[0029] Figure 2 A second flowchart illustrating a calibration method for an acceleration sensing component provided in an embodiment of this application;

[0030] Figure 3 A schematic diagram of the structure of a calibration device for an acceleration sensing component provided in an embodiment of this application;

[0031] Figure 4 This is a block diagram of a garment processing device used to implement a calibration method for an acceleration sensing component according to an embodiment of this application. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this application.

[0033] It should be noted that the terms "first," "second," "target," and "original," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprising," "having," and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] Figure 1 This is a first flowchart illustrating a calibration method for an acceleration sensor component provided in this application embodiment. This embodiment is applicable to scenarios where the parameters of the acceleration sensor component are automatically corrected when deviations occur in the readings. The calibration method for the acceleration sensor component provided in this embodiment can be executed by the calibration device for the acceleration sensor component provided in this application embodiment. This device can be implemented through software and / or hardware and integrated into the electronic device executing the method. Preferably, the electronic device in this application embodiment can be a clothing processing device.

[0035] See Figure 1 The method in this embodiment includes, but is not limited to, the following steps:

[0036] S110. When an alarm for unbalanced load is received in the inner drum of the garment processing equipment, a balance detection program is executed, and the first acceleration detection data of the inner drum is collected through the acceleration sensor component.

[0037] The garment handling equipment can be a washing machine. The load imbalance alarm is a warning signal issued by the monitoring system inside the garment handling equipment during operation, indicating that the load distribution of clothes in the inner drum is uneven, causing the equipment to malfunction or potentially damage it. The balance detection program is a set of procedures used in the garment handling equipment to detect whether the load on the inner drum is balanced. This can be achieved by running the inner drum at a specific speed under no-load conditions, or by other equipment states. The acceleration sensing component can be a triaxial accelerometer, used to monitor the acceleration changes of the inner drum in real time during rotation. It can be configured on key support parts of the inner drum or on structures closely related to the drum's movement to capture these motion changes.

[0038] In the embodiment of the application, when the garment processing equipment executes the spin-drying process, if the control system of the garment processing equipment receives an alarm indicating an imbalance in the load of the inner drum, it indicates that an abnormality has occurred in the inner drum during operation. This alarm may originate from various factors, such as during the spin-drying stage, due to differences in the material of the garments or the random placement before washing, the garments may not be evenly distributed around the inner drum, causing the center of gravity of the inner drum to shift during high-speed rotation, resulting in significant eccentric vibration. At this time, in order to accurately locate the problem and attempt to resolve it, the garment processing equipment will immediately initiate a balance detection program. The acceleration sensing component collects the acceleration information of the inner drum in the three dimensions of the x-axis, y-axis, and z-axis at a high sampling frequency (generally up to several hundred times per second), which is recorded as the first acceleration detection data. During the acquisition process, the acceleration sensing component converts the various complex movements of the inner drum caused by the unbalanced load into corresponding electrical signals. For example, if the inner drum experiences a large left-right sway in the x-axis direction due to eccentricity, then the corresponding acceleration value will be detected on the x-axis acceleration sensor.

[0039] Specifically, the balance detection procedure includes: the garment handling device generating a garment removal prompt message to remind the user to remove all garments from the inner drum; the garment handling device detecting the load of the inner drum using a load sensor, and when the load of the inner drum is detected to be zero, indicating that there are no garments in the inner drum, then increasing the rotation speed of the inner drum to a specific speed (e.g., 500 rpm at high speed, 90 rpm at low speed); and collecting the first acceleration detection data of the inner drum through an acceleration sensor component.

[0040] Collecting initial acceleration data for the inner cylinder helps determine whether its operation is stable during high-speed rotation. Analysis of the acceleration data can reveal potential problems such as eccentricity or loose components within the inner cylinder. For example, if the acceleration data shows abnormal fluctuations in acceleration values ​​in a certain direction, it indicates an imbalance within the inner cylinder, requiring further inspection and adjustment.

[0041] The clothing reminder messages can be delivered to users in several ways. On the control panel, they will be displayed in clear text, such as "Please remove the clothes from the drum," providing a visual cue that users can see directly while operating the washing machine. Alternatively, they can be delivered via voice prompts; the washing machine's built-in voice module will announce "Please remove the clothes," allowing users to receive the information even when they are away from the machine.

[0042] S120. Perform data cleaning processing on the first acceleration detection data to obtain the data to be calibrated.

[0043] On the one hand, due to the inherent characteristics of the sensor and the influence of the working environment, the collected data may contain noise signals. For example, electromagnetic interference generated by the operation of the motor inside the washing machine, and minute vibration interference transmitted from mechanical parts, can cause the electrical signal output by the accelerometer to contain some irregular high-frequency or low-frequency noise components that are unrelated to the actual movement of the inner drum. On the other hand, outliers may occur during data acquisition and transmission. For example, occasional signal transmission interruptions and subsequent recovery may produce erroneous data points, or the sensor itself may experience a brief malfunction or instability at a certain moment, causing the collected data to deviate from the normal range.

[0044] In this embodiment, the data cleaning process may include filtering and outlier handling. After the data cleaning process is performed using the numerical statistical box method, the first acceleration detection data, which originally contained a lot of noise and outliers, is transformed into relatively accurate calibration data, which can truly and accurately reflect the motion state of the inner cylinder.

[0045] S130. Re-execute the balance detection procedure and collect the second acceleration detection data of the inner cylinder through the acceleration sensor component.

[0046] In this embodiment, the garment processing equipment re-executes the balance detection program, and in an unloaded state, the inner drum is run at a specific speed (e.g., 500 rpm at high speed and 90 rpm at low speed), and the second acceleration detection data of the inner drum is collected by the acceleration sensing component.

[0047] S140. Use the second acceleration detection data to verify the data to be calibrated. When the verification result meets the preset verification standard, perform calibration processing on the acceleration sensing component based on the data to be calibrated.

[0048] The acceleration sensing component is a multi-axis acceleration sensing component, such as a three-axis or six-axis acceleration sensing component. If the acceleration sensing component is a three-axis acceleration sensing group, it measures the linear acceleration of the inner cylinder load in three mutually perpendicular coordinate axes (usually X, Y, and Z axes). If the acceleration sensing component is a six-axis acceleration sensing group, it can measure not only linear acceleration in three-dimensional space but also the angular velocity of the object in three-dimensional space, and can simultaneously acquire the translational and rotational information of the object. The second acceleration detection data consists of multiple sets of detection data.

[0049] Specifically, the second acceleration detection data is used to verify the data to be calibrated, including: First, calculating the difference between each set of detection data and the data to be calibrated in each axis direction. The specific calculation process is as follows: For each set of detection data, subtract the acceleration value of the data to be calibrated in the same axis direction from the acceleration value of the corresponding axis direction in the x, y, and z axes, thus obtaining the difference in each of the three axis directions. Second, obtaining the error range in each axis direction. The error range is determined based on the equipment's accuracy requirements, the allowable deviation range during normal operation, and the actual application scenario. Third, checking each set of collected detection data one by one. For each set of detection data, checking the difference between it and the data to be calibrated in the x, y, and z axes, and determining whether these differences all fall within the corresponding error range in their respective axis directions; after traversing all sets of detection data, counting the number of detection data sets in which the difference in all axis directions meets the corresponding error range. This number directly reflects how many sets of detection data have deviations from the data to be calibrated within a reasonable range. Fourth, divide the number of qualified test data points by the total number of test data points to obtain a ratio value as the verification result of the data to be calibrated. If the verification result is high (close to 1 or within a reasonably high range), it indicates that the data to be calibrated can serve as a good standard to measure the subsequently collected test data, and its accuracy and representativeness are strong. Conversely, if the verification result is low, it may mean that there are some problems with the data to be calibrated, and further inspection, recalibration, or adjustment of relevant parameters is required to ensure the accuracy of the entire monitoring system's judgment on the state of the inner drum of the garment processing equipment.

[0050] Specifically, when the verification result meets the preset verification standard, the acceleration sensing component can be calibrated based on the data to be calibrated. This includes generating a parameter update program using a specific algorithm based on the characteristics of the data to be calibrated and the working principle of the sensor. The initial calibration values ​​in the acceleration sensing component are updated by executing the parameter update program, thus completing the calibration process. The calibration process may involve analyzing the distribution pattern, trend, and relationship with the sensor output of the data to be calibrated when generating the parameter update program. For example, if a systematic deviation is found between the acceleration value of the data to be calibrated along a certain axis and the current sensor output, the algorithm will calculate which parameters of the sensor need to be adjusted and the magnitude of the adjustment based on this characteristic, thereby generating corresponding program code to update these parameters.

[0051] The technical solution provided in this embodiment, when receiving an alarm indicating an imbalance in the load of the inner drum in the garment processing equipment, executes a balance detection program and collects first acceleration detection data of the inner drum through an acceleration sensor component. This quickly captures the motion state of the inner drum and pinpoints the key issue of inner drum imbalance. The first acceleration detection data is cleaned to obtain calibration data, ensuring that the calibration data accurately reflects the actual operating condition of the inner drum and greatly improving diagnostic accuracy. The balance detection program is re-executed, and second acceleration detection data of the inner drum is collected through the acceleration sensor component. The second acceleration detection data is used to verify the calibration data. Comparing the two sets of data allows for a direct assessment of the effectiveness of correction operations such as garment redistribution and speed adjustment, promptly identifying any remaining imbalance risks and ensuring stable operation of the inner drum. When the verification result meets the preset verification standard, the acceleration sensor component is calibrated based on the calibration data. This application can automatically correct parameter deviations of the acceleration sensor component, reducing severe vibration and abnormal wear caused by eccentric rotation of the inner drum, and effectively extending the service life of motors, bearings, transmission components, etc., in the equipment. At the same time, it can reduce the risk of equipment failure, ensure long-term stable operation of the equipment, reduce maintenance costs and downtime, and improve the user experience of clothing processing equipment.

[0052] The calibration method for the acceleration sensing component provided in the embodiments of this application is further described below. Figure 2 This is a second flowchart illustrating a calibration method for an acceleration sensing component provided in an embodiment of this application. This embodiment optimizes the above embodiments, specifically by providing a detailed explanation of another process for diagnosing load imbalance in a garment processing device.

[0053] See Figure 2 The method in this embodiment includes, but is not limited to, the following steps:

[0054] S210. Acceleration data of the inner drum in the garment processing equipment is obtained through an acceleration sensing component.

[0055] In this embodiment, when an alarm indicating load imbalance in the inner drum of the garment processing equipment is received, it indicates that an abnormal condition has occurred during the operation of the inner drum. At this time, the acceleration data of the inner drum in the garment processing equipment is first acquired through an acceleration sensor component to detect the movement state of the inner drum. If the acceleration data is greater than the initial calibration value of the acceleration sensor component, step S220 is executed; if the acceleration data is not greater than the initial calibration value of the acceleration sensor component, step S230 is executed. The advantage of this setup is that it quickly determines whether there is abnormal shaking in the inner drum and whether this abnormal shaking is caused by a malfunction of the acceleration sensor.

[0056] S220. If the acceleration data is greater than the initial calibration value of the acceleration sensing component, then execute the balance detection procedure.

[0057] In this embodiment, if the acceleration data is greater than the initial calibration value of the acceleration sensing component, it indicates that there is an abnormality in the acceleration sensor, and the following steps are executed. Figure 1 The operation steps in the corresponding embodiment are used to perform calibration processing on the acceleration sensing component.

[0058] S230. If the acceleration data is not greater than the initial calibration value, check whether the operating data of the motor in the clothing processing equipment meets the normal operating standard of the motor.

[0059] In this embodiment, if the acceleration data is not greater than the initial calibration value, it indicates that the acceleration sensor is not malfunctioning. Therefore, it is necessary to determine whether there is uneven distribution of clothing in the inner tub. At this time, it is necessary to check whether the operating data of the motor in the clothing processing equipment (such as motor speed) meets the normal operating standards of the motor, for example, whether the motor speed is greater than the motor's calibration value.

[0060] S240. When the normal operating standard of the motor is not met, a shaking procedure is performed on the clothes in the inner drum.

[0061] In this embodiment, when the detection motor speed exceeds the motor's rated value, it indicates that the clothes in the inner drum are unevenly distributed, and a shaking procedure is performed on the clothes in the inner drum. When the clothes handling equipment finishes performing the shaking procedure on the clothes in the inner drum, it can be considered that the clothes in the inner drum are now evenly distributed, and the dehydration procedure can be repeated.

[0062] In one embodiment, the shaking process can involve a motor driving the inner drum to rotate slowly forward according to instructions from the control system. This causes the clothes to rotate with the inner drum, using centrifugal force to spread the clothes out to a certain extent. Then, the drum quickly reverses direction, abruptly changing the direction of rotation, causing the clothes to shake due to inertia. This alternating forward and reverse rotation is repeated. The forward and reverse rotation times and switching frequency are set according to equipment design and experience, such as 3 seconds of forward rotation followed by 2 seconds of reverse rotation, alternating 20 times per minute.

[0063] In another embodiment, the shaking process can also involve controlling the water inlet valve to allow water to flow into the inner drum. As the inner drum rotates, the water flow impacts the clothes, enhancing the shaking effect. The buoyancy of the water also makes the clothes easier to move and disperse, rubbing and colliding with the inner drum wall and other clothes, further promoting even distribution of the clothes.

[0064] The technical solution provided in this embodiment acquires the acceleration data of the inner drum in the clothing processing equipment through an acceleration sensing component. If the acceleration data is greater than the initial calibration value of the acceleration sensing component, a balance detection procedure is executed. If the acceleration data is not greater than the initial calibration value, the operating data of the motor in the clothing processing equipment is checked to see if it meets the normal operating standard of the motor. When the normal operating standard of the motor is not met, a shaking procedure is executed on the clothes in the inner drum. When a load imbalance alarm is received, this application first determines whether there is abnormal shaking in the inner drum through the acceleration data of the inner drum in the clothing processing equipment. If there is abnormal shaking, it indicates that there is an abnormality in the acceleration sensor, and then the acceleration sensing component is calibrated. If there is no abnormal shaking, it is necessary to determine whether there is an uneven distribution of clothes in the inner drum through the motor speed. When the detected motor speed is greater than the motor calibration value, it indicates that the clothes in the inner drum are unevenly distributed, and a shaking procedure is executed on the clothes in the inner drum. This application can automatically correct the parameter deviation of the acceleration sensing component, which can reduce the risk of equipment failure, ensure long-term stable operation of the equipment, reduce maintenance costs and downtime, and improve the user experience of the clothing processing equipment.

[0065] Figure 3 A schematic diagram of the structure of a calibration device for an acceleration sensing component provided in an embodiment of this application is shown below. Figure 3 As shown, the device 300 is integrated into a garment processing device and may include:

[0066] The first data acquisition module 310 is used to execute a balance detection program and acquire the first acceleration detection data of the inner drum through an acceleration sensing component when it receives an alarm for load imbalance of the inner drum in the clothing processing equipment.

[0067] The data cleaning module 320 is used to clean the first acceleration detection data to obtain the data to be calibrated.

[0068] The second data acquisition module 330 is used to re-execute the balance detection program and acquire the second acceleration detection data of the inner cylinder through the acceleration sensing component.

[0069] The sensor component calibration module 340 is used to verify the data to be calibrated using the second acceleration detection data. When the verification result meets the preset verification standard, the acceleration sensor component is calibrated based on the data to be calibrated.

[0070] Furthermore, the calibration device for the aforementioned acceleration sensing component may also include: a data processing module;

[0071] The data processing module is used to acquire the acceleration data of the inner drum in the garment processing equipment through the acceleration sensing component before executing the balance detection program; if the acceleration data is greater than the initial calibration value of the acceleration sensing component, the balance detection program is executed.

[0072] Furthermore, the aforementioned data processing module can be specifically used to: after obtaining the acceleration data of the inner drum in the clothing processing device through the acceleration sensing component, if the acceleration data is not greater than the initial calibration value, detect whether the operating data of the motor in the clothing processing device meets the normal operating standard of the motor; when the normal operating standard of the motor is not met, perform a shaking procedure on the clothing in the inner drum.

[0073] In one embodiment, the balance detection procedure involves running the inner cylinder at a specific rotational speed under no-load conditions;

[0074] Furthermore, the first data acquisition module 310 can be specifically used to: generate a clothing removal prompt message, which prompts the user to remove all clothing from the inner drum; when the load on the inner drum is detected to be zero, increase the rotation speed of the inner drum to the specific rotation speed; and acquire the first acceleration detection data of the inner drum through the acceleration sensing component.

[0075] Furthermore, the aforementioned sensor component calibration module 340 can be specifically used to: generate a parameter update program based on the data to be calibrated; update the initial calibration value in the acceleration sensor component by executing the parameter update program, thereby completing the calibration process of the acceleration sensor component.

[0076] In one embodiment, the acceleration sensing component is a multi-axis acceleration sensing component, and the second acceleration detection data consists of multiple sets of detection data;

[0077] Furthermore, the aforementioned sensor component calibration module 340 can be specifically used to: calculate the difference between each set of detection data and the data to be calibrated in each axial direction; obtain the error interval in each axial direction; count the number of detection data in multiple sets of detection data whose differences in all axial directions satisfy the corresponding error interval; and calculate the verification result of the data to be calibrated based on the number and the total number of the multiple sets of detection data.

[0078] The calibration device for the acceleration sensing component provided in this embodiment can be applied to the calibration method for the acceleration sensing component provided in any of the above embodiments, and has the corresponding functions and beneficial effects.

[0079] Figure 4 This is a block diagram of a garment processing apparatus used to implement a calibration method for an accelerometer sensor component according to an embodiment of this application. The garment processing apparatus 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The garment processing apparatus can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0080] like Figure 4 As shown, the garment processing device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer programs stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the garment processing device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0081] Multiple components in the garment handling device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, optical disk, etc.; and a communication unit 19, such as a network card, modem, wireless transceiver, etc. The communication unit 19 allows the garment handling device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0082] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the calibration method for the accelerometer sensing component.

[0083] In some embodiments, the calibration method for the accelerometer component may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the garment processing device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the calibration method for the accelerometer component described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the calibration method for the accelerometer component by any other suitable means (e.g., by means of firmware).

[0084] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0085] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0086] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0087] To provide interaction with the user, the systems and techniques described herein can be implemented on a garment handling device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the garment handling device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0088] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0089] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0090] Note that the above are merely preferred embodiments and technical principles applied in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. For example, those skilled in the art can use the various forms of processes shown above to reorder, add, or delete steps; the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solution of this application can be achieved, and no limitations are imposed herein.

[0091] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A calibration method for an acceleration sensing component, characterized in that, Applied to garment processing equipment, the method includes: When an alarm indicating an imbalance of load is received in the inner drum of the garment processing equipment, a balance detection procedure is executed, and the first acceleration detection data of the inner drum is collected through the acceleration sensing component. The first acceleration detection data is cleaned to obtain the data to be calibrated; The balance detection procedure is re-executed, and the second acceleration detection data of the inner cylinder is acquired through the acceleration sensing component; The second acceleration detection data is used to verify the data to be calibrated. When the verification result meets the preset verification standard, the acceleration sensing component is calibrated based on the data to be calibrated.

2. The calibration method for the acceleration sensing component according to claim 1, characterized in that, Before performing the balance check procedure, the following is also included: The acceleration data of the inner drum in the garment processing device is obtained through the acceleration sensing component; If the acceleration data is greater than the initial calibration value of the acceleration sensing component, then the balance detection procedure is executed.

3. The calibration method for the acceleration sensing component according to claim 2, characterized in that, After acquiring the acceleration data of the inner drum in the garment processing device through the acceleration sensing component, the method further includes: If the acceleration data is not greater than the initial calibration value, then check whether the operating data of the motor in the clothing processing equipment meets the normal operating standard of the motor. When the normal operating standard of the motor is not met, a shaking procedure is performed on the clothes in the inner drum.

4. The calibration method for the acceleration sensing component according to claim 1, characterized in that, The balance detection procedure involves running the inner cylinder at a specific speed under no-load conditions; executing the balance detection procedure includes: Generate a clothing removal prompt message, which prompts the user to remove all clothing from the inner drum. When the load on the inner cylinder is detected to be zero, the rotational speed of the inner cylinder is increased to the specified rotational speed; The acceleration sensing component collects the first acceleration detection data of the inner cylinder.

5. The calibration method for the acceleration sensing component according to claim 2, characterized in that, The calibration process for the acceleration sensing component based on the data to be calibrated includes: A parameter update program is generated based on the data to be calibrated; The calibration process of the acceleration sensing component is completed by updating the initial calibration value in the acceleration sensing component through the execution of the parameter update program.

6. The calibration method for the acceleration sensing component according to claim 1, characterized in that, The acceleration sensing component is a multi-axis acceleration sensing component, and the second acceleration detection data consists of multiple sets of detection data; The calibration data is verified using the second acceleration detection data, including: Calculate the difference between each set of detection data and the data to be calibrated in each axis direction; Obtain the error range for each axis direction; The number of test data sets in which the difference in all axial directions in multiple test data sets satisfies the corresponding error interval; The verification result of the data to be calibrated is calculated based on the quantity and the total quantity of the multiple sets of detection data.

7. A calibration device for an acceleration sensing component, characterized in that, Integrated into garment processing equipment, the device includes: The first data acquisition module is used to execute a balance detection program and acquire the first acceleration detection data of the inner drum through an acceleration sensor component when it receives an alarm for load imbalance of the inner drum in the clothing processing equipment. The data cleaning module is used to clean the first acceleration detection data to obtain the data to be calibrated. The second data acquisition module is used to re-execute the balance detection program and acquire the second acceleration detection data of the inner cylinder through the acceleration sensing component. The sensor component calibration module is used to verify the data to be calibrated using the second acceleration detection data. When the verification result meets the preset verification standard, the acceleration sensor component is calibrated based on the data to be calibrated.

8. A garment processing device, characterized in that, The garment processing equipment includes: At least one processor; and a memory communicatively connected to said at least one processor; The memory stores a computer program that is executed by the at least one processor, which enables the at least one processor to perform the calibration method of the acceleration sensing component according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the calibration method for the acceleration sensing component as described in any one of claims 1 to 6.

10. A computer program product comprising a computer program that, when executed by a processor, implements a calibration method for an acceleration sensing component according to any one of claims 1 to 6.

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