Clothes treating apparatus metal foreign substance detection method, apparatus, and storage medium

Abstract

The present application belongs to the field of clothes processing equipment, and specifically discloses a clothes processing equipment metal foreign matter detection method, device and storage medium. The method comprises the following steps: in the process of putting clothes into the clothes processing equipment, firstly, collecting the real-time geomagnetic field intensity data set of the clothes processing equipment through the geomagnetic sensor; then, obtaining the denoised geomagnetic field intensity data set by denoising the real-time geomagnetic field intensity data set; secondly, establishing a denoised position fingerprint map according to the denoised geomagnetic field intensity data set; finally, inputting the denoised position fingerprint map into a preset field intensity time sequence classification model to obtain the detection result of whether there is metal foreign matter in the clothes. The method provided by the present application can reduce energy consumption, is not limited by the time range, can improve the accuracy of metal foreign matter classification detection, effectively improve the accuracy of metal foreign matter detection, reduce the complexity of detection, and improve the user experience.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of clothes processing equipment, and particularly relates to a clothes processing equipment metal foreign matter detection method, device and storage medium. BACKGROUND

[0002] With the continuous improvement of people's living standards, the types and functions of washing products are also increasing. When washing clothes in a washing machine, if the user forgets to take out the metal foreign matter in the clothes, such as keys, nail clippers, jewelry, batteries, etc., it will cause certain damage to the inner wall of the washing machine, block the drain hole, and cause the clothes to be torn, etc. Therefore, the detection of metal foreign matter in the washing machine is a problem that needs to be solved at present.

[0003] There are currently various methods for detecting metal foreign matter in washing machines, such as using infrared sensors, ray sensors, millimeter sensors, etc. to detect metal foreign matter in washing machines; installing an electromagnetic induction coil at the entrance of the washing machine to detect metal foreign matter in the washing machine, but all have the problems of high false detection rate, poor detection effect, and poor user experience. For example, using sensors to detect metal foreign matter, based on the fact that some sensors need to be installed inside the barrel wall, which will cause complex installation problems; the installation of sensors should pay attention to waterproof and shockproof; the high-speed rotation of the washing machine will also reduce the service life of the sensor, which will eventually cause the problem of insufficient detection accuracy of the sensor; by installing an electromagnetic induction coil at the entrance of the washing machine, only the detection of metal foreign matter during the process of putting clothes into the washing machine can be realized, and millisecond-level sensing and measurement are required. Therefore, the electromagnetic induction coil has a short induction time, so the time window range for classification is too small. In addition, the detection of the electromagnetic induction coil will be affected by the vibration of the metal inner drum of the washing machine, which will seriously affect the accuracy of the detection of metal foreign matter by the electromagnetic induction coil. Therefore, the current method has the problem of high false detection rate, and a large amount of signal source or electric energy is consumed, which will bring certain difficulty to the application deployment.

[0004] Therefore, the present application is proposed. SUMMARY

[0005] The technical problem to be solved by the present application is to overcome the shortcomings of the prior art and provide a clothes processing equipment metal foreign matter detection method, which combines geomagnetic position fingerprint technology and time sequence classification algorithm to detect metal foreign matter in the clothes being washed in the clothes processing equipment, thereby effectively improving the accuracy of metal foreign matter detection and reducing the complexity of detection.

[0006] To solve the above technical problems, the basic idea of the technical scheme of the present application is: according to the first aspect of the embodiment of the present application, a metal foreign object detection method for a clothes treatment device is provided, wherein the clothes treatment device has at least one geomagnetic sensor, the method comprises: collecting real-time geomagnetic field intensity data of the clothes treatment device through the geomagnetic sensor during the process of putting clothes into the clothes treatment device; obtaining a denoised geomagnetic field intensity data set by denoising the real-time geomagnetic field intensity data; establishing a denoised position fingerprint map according to the denoised geomagnetic field intensity data set; inputting the denoised position fingerprint map into a preset field intensity time sequence classification model to obtain a detection result of whether there is a metal foreign object in the clothes.

[0007] Optionally, before the clothes are put into the clothes treatment device, the method further comprises: when the clothes treatment device is empty, collecting empty barrel geomagnetic field intensity data of the clothes treatment device through the geomagnetic sensor; establishing an empty barrel position fingerprint map according to an empty barrel geomagnetic field intensity data set formed by the empty barrel geomagnetic field intensity data; inputting the empty barrel position fingerprint map into the field intensity time sequence classification detection model as a standard classification model of the preset field intensity time sequence classification model.

[0008] Optionally, the collecting of the empty barrel geomagnetic field intensity data of the clothes treatment device through the geomagnetic sensor further comprises: when the clothes treatment device is empty, the geomagnetic sensor collects the geomagnetic field intensity data of the clothes treatment device in real time, and constantly updates the empty barrel position fingerprint map.

[0009] Optionally, the method of denoising the real-time geomagnetic field intensity data comprises: denoising the real-time geomagnetic field intensity data based on a preset vibration fingerprint data set.

[0010] Optionally, the method of obtaining the vibration data set comprises: in an experiment, by changing the state of the clothes put into the clothes treatment device, collecting the amplitude value and the field intensity value of the barrel in the clothes treatment device during the process of putting the clothes in different states into the clothes treatment device, wherein the amplitude value of the barrel in the clothes treatment device is collected through an amplitude sensor; and establishing a vibration fingerprint data set according to the amplitude value and the field intensity value.

[0011] Optionally, the method of obtaining the detection result of whether there is a metal foreign object in the clothes comprises: comparing the denoised position fingerprint map with the empty barrel position fingerprint map to obtain the detection result of whether there is a metal foreign object in the clothes; if the detection result is that the geomagnetic field intensity data in the clothes is abnormal, sending a metal abnormality warning information to the display screen of the clothes treatment device; and if the detection result is that the geomagnetic field intensity data in the clothes is normal, starting the washing mode of the clothes treatment device.

[0012] Optionally, after obtaining the detection result of whether there is a metal foreign matter in the clothes, the method further comprises: adding the detection result into a training data set of the time sequence classification model, and performing iterative detection.

[0013] According to a second aspect of the embodiments of the present application, a metal foreign matter detection device for a clothes processing apparatus is provided, which comprises: an acquisition device configured to acquire real-time geomagnetic field intensity data of the clothes processing apparatus through a geomagnetic sensor during the process of clothes being put into the clothes processing apparatus; a denoising device configured to obtain a denoised geomagnetic field intensity data set by performing denoising processing on the real-time geomagnetic field intensity data; an establishing device configured to establish a denoised position fingerprint according to the denoised geomagnetic field intensity data set; and an obtaining device configured to input the denoised position fingerprint into a preset field intensity time sequence classification model, and obtain a detection result of whether there is a metal foreign matter in the clothes.

[0014] Optionally, when the acquisition device is used to acquire the clothes before being put into the clothes processing apparatus, the method further comprises: when the clothes processing apparatus is an empty barrel, acquiring empty barrel geomagnetic field intensity data of the clothes processing apparatus through the geomagnetic sensor; establishing an empty barrel position fingerprint according to an empty barrel geomagnetic field intensity data set formed by the empty barrel geomagnetic field intensity data; and inputting the empty barrel position fingerprint into the field intensity time sequence classification detection model as a standard classification model of the preset field intensity time sequence classification model.

[0015] Optionally, the method for acquiring the empty barrel geomagnetic field intensity data of the clothes processing apparatus through the geomagnetic sensor by the acquisition device further comprises: when the clothes processing apparatus is an empty barrel, the geomagnetic sensor acquires the geomagnetic field intensity data of the clothes processing apparatus in real time, and constantly updates the empty barrel position fingerprint.

[0016] Optionally, the method for performing denoising processing on the real-time geomagnetic field intensity data by the denoising device comprises: performing denoising processing on the real-time geomagnetic field intensity data based on a preset vibration fingerprint data set.

[0017] Optionally, the method for obtaining the vibration data set in the denoising device comprises: in an experiment, by changing the state of clothes put into the clothes processing apparatus, acquiring amplitude values and field intensity values of a barrel in the clothes processing apparatus during the process of clothes in different states being put into the clothes processing apparatus, wherein the amplitude values of the barrel in the clothes processing apparatus are acquired through an amplitude sensor; and establishing a vibration fingerprint data set according to the amplitude values and the field intensity values.

[0018] Optionally, the acquisition device is configured to acquire the detection result of whether there is a metal foreign object in the clothes, including: comparing the denoising position fingerprint map with the empty barrel position fingerprint map to acquire the detection result of whether there is a metal foreign object in the clothes; if the detection result is that the geomagnetic field intensity data in the clothes is abnormal, sending a metal abnormality warning information to a clothes processing equipment display screen; if the detection result is that the geomagnetic field intensity data in the clothes is normal, starting a clothes processing equipment washing mode.

[0019] Optionally, after the acquisition device acquires the detection result of whether there is a metal foreign object in the clothes, the method further includes: adding the detection result to a training data set of the time sequence classification model for iterative detection.

[0020] According to a third aspect of the embodiments of the present application, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement the clothes processing equipment metal foreign object detection method provided by any one of the embodiments of the first aspect.

[0021] According to a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores computer program instructions, and the program instructions are executed by a processor to implement the clothes processing equipment metal foreign object detection method provided by the first aspect or any one of the embodiments of the first aspect.

[0022] After the above technical solution, compared with the prior art, the present application has the following beneficial effects: during the process of putting clothes into the clothes processing equipment, first, the real-time geomagnetic field intensity data set of the clothes processing equipment is collected through the geomagnetic sensor; then, the denoising geomagnetic field intensity data set is obtained by denoising the real-time geomagnetic field intensity data set; secondly, the denoising position fingerprint map is established according to the denoising geomagnetic field intensity data set; finally, the denoising position fingerprint map is input into the preset field intensity time sequence classification model to acquire the detection result of whether there is a metal foreign object in the clothes. The method provided by the present application is based on the collection of the inner and outer barrel field intensity data of the clothes processing equipment by the geomagnetic sensor, and the detection of whether there is a metal foreign object in the clothes processing equipment is realized by inputting the collected data into the field intensity time sequence classification model, so that the energy consumption can be reduced, and the detection complexity can be reduced, the user experience can be improved, and the accuracy of the metal foreign object detection can be improved.

[0023] The specific embodiments of the present application will be further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0024] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced here. Obviously, for those skilled in the field, other drawings can also be obtained based on these drawings without creative labor.

[0026] Figure 1 is a flow chart of a metal foreign object detection method of a clothes processing apparatus according to an embodiment of the present application;

[0027] Figure 2 is a flow chart of a metal foreign object detection result judgment according to an embodiment of the present application;

[0028] Figure 3 is a block diagram of a metal foreign object detection device of a clothes processing apparatus according to an embodiment of the present application;

[0029] Figure 4 is a block diagram of an electronic device according to an embodiment of the present application.

[0030] It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but are merely to illustrate the inventive concept by reference to specific embodiments. DETAILED DESCRIPTION

[0031] In order to make the technical personnel in the art better understand the present application scheme, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0032] The exemplary embodiments will be described in detail herein below, with examples shown in the drawings. Unless otherwise indicated, the same numbers on different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments are not meant to represent all implementations consistent with the present application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present application, as detailed in the appended claims.

[0033] The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the description of the application and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It also will be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0034] It is to be noted that the terms "first", "second", and the like, used in the description and the claims of the application herein, as well as above-mentioned drawings, are intended to distinguish similar objects and are not necessarily to be interpreted as significant to the ordinal order or as significant to the sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of accomplishing the same object for example, without orders or sequences, except where order or sequence is clearly indicated by context to be important. Also, the terms "comprises", "comprising", "includes", "including", and the like, are meant to encompass a non-exclusive inclusion, such that encompassed processes, methods, articles, or apparatuses need not necessarily comprise, consist of, or consist essentially of the entire listing of steps or units set forth herein, but can include additional steps or units not expressly listed or inherent to such processes, methods, articles, or apparatuses, as well as other steps or units going beyond those set forth herein. As used herein, the word "if" can be interpreted to mean "when" or "upon" or "in response to determining" taking place under certain circumstances.

[0035] The magnetic field inherent to the earth itself has good stability, and the magnetic field intensity at a fixed position has a weak variation range and a stable seasonal variation law when there is no external interference. When the magnetic field is disturbed by metal articles in a building, the original magnetic field will be distorted by the metal disturbance in the building to form a unique "magnetic pattern". If the metal-containing structures such as steel bars, pipes, and furniture in the building do not change greatly, the characteristics of the indoor magnetic field are also fixed and unchanged. In addition, using geomagnetism does not require an additional signal source, only the change of the magnetic field needs to be detected, and the energy consumption is very small, so it is usually used for indoor positioning and other applications. The application is used for detecting metal foreign objects in a clothes treatment device, wherein the clothes treatment device includes but is not limited to a washing machine, a dryer, a washing-drying integrated machine, and other household appliances.

[0036] Embodiment one

[0037] Figure 1 A flowchart of a clothes treatment device metal foreign object detection method according to an embodiment of the application is shown in FIG. 1, which includes steps S101-S103. Figure 1

[0038] ​In the embodiment, before detecting the field strength change of the clothes processing device by the geomagnetic sensor during the process of putting clothes into the clothes processing device, the clothes processing device is also pretreated by the geomagnetic sensor, that is, the geomagnetic field strength data of the empty barrel of the clothes processing device is detected by the geomagnetic sensor.

[0039] In the embodiment, the pretreatment of the clothes processing device includes: collecting the empty barrel geomagnetic field strength data of the clothes processing device by the geomagnetic sensor when the clothes processing device is empty; establishing an empty barrel position fingerprint map based on the empty barrel geomagnetic field strength data set formed according to the empty barrel geomagnetic field strength data; and inputting the empty barrel position fingerprint map into the field strength time sequence classification detection model as a standard classification model of the preset field strength time sequence classification model.

[0040] The collecting of the empty barrel geomagnetic field strength data set of the clothes processing device by the geomagnetic sensor further includes: collecting the geomagnetic field strength data of the clothes processing device in real time by the geomagnetic sensor when the clothes processing device is empty, and constantly updating the empty barrel position fingerprint map.

[0041] In the embodiment, the condition that the clothes processing device is empty barrel refers to the condition that the clothes processing device is idle and the inner barrel weight detection is zero or close to zero.

[0042] The clothes processing device has at least one geomagnetic sensor fixedly installed on the bottom side of the inner barrel or the outer wall of the inner barrel of the clothes processing device.

[0043] The geomagnetic sensor of the clothes processing device detects the clothes processing device regularly when the clothes processing device is idle, so as to collect the geomagnetic field strength data of the clothes processing device, wherein the geomagnetic field strength data of the clothes processing device includes the detection of the geomagnetic field strength data of the inner and outer barrel environment of the clothes processing device; an empty barrel geomagnetic field strength data set is generated based on the collected geomagnetic field strength data; an empty barrel field strength position fingerprint map is established based on the empty barrel geomagnetic field strength data set; and the empty barrel field strength position fingerprint map is updated in real time based on the regular detection of the clothes processing device.

[0044] In the embodiment, the "position fingerprint" refers to the distribution of a certain feature that is relatively fixed at a certain position in the environment and is different from other positions. By using the geomagnetic field to establish a position fingerprint map in the room, the current magnetic field strength value at each position can be detected, and then compared with the fingerprint map, so as to realize positioning. Similarly, if the position fingerprint map is used for metal detection of clothes in the clothes processing device, only the position fingerprint of the inner and outer barrel environment of the clothes processing device needs to be established, and the geomagnetic detection device can quickly sense the fingerprint change and track and locate the position of the metal.

[0045] In step S101, during the process of putting clothes into the clothes treatment device, the real-time geomagnetic field intensity data of the clothes treatment device is collected by the geomagnetic sensor.

[0046] In this embodiment, the collection of the real-time geomagnetic field intensity data of the clothes treatment device by the geomagnetic sensor includes the collection of the geomagnetic field intensity data of the inner and outer barrels of the clothes treatment device.

[0047] In step S102, the denoised geomagnetic field intensity data set is obtained by denoising the real-time geomagnetic field intensity data.

[0048] In this embodiment, the clothes treatment device has at least one vibration sensor, which is used to record the amplitude change of the clothes treatment device after the clothes are put in.

[0049] The method for denoising the real-time geomagnetic field intensity data includes denoising the real-time geomagnetic field intensity data based on the preset vibration fingerprint data set.

[0050] The method for obtaining the vibration data set includes: in the experiment, by changing the state of the clothes put into the clothes treatment device, collecting the amplitude value and field strength value of the inner barrel of the clothes treatment device during the process of putting the clothes into the clothes treatment device in different clothes states, wherein the amplitude value of the inner barrel of the clothes treatment device is collected by the amplitude sensor; and establishing a vibration fingerprint data set according to the amplitude value and the field strength value.

[0051] In the laboratory environment, under the condition that the weight of the clothes put into the inner barrel of the clothes treatment device is different, the amplitude data of the clothes treatment device under the condition that the weight of the clothes is different is collected by the vibration sensor, and is recorded; the geomagnetic field intensity data of the clothes treatment device under the condition that the weight of the clothes is different is collected by the geomagnetic sensor, and is recorded; a corresponding relationship library of the amplitude data and the geomagnetic field intensity data, i.e. a vibration fingerprint data set, is generated according to the amplitude data and the geomagnetic field intensity data; and a vibration fingerprint map is established according to the corresponding relationship library of the amplitude data and the geomagnetic field intensity data.

[0052] In step S103, a denoised position fingerprint map is established according to the denoised geomagnetic field intensity data set.

[0053] After the user puts in the clothes, the real-time geomagnetic field intensity data set is filtered according to the collected real-time clothes treatment device amplitude change data based on the vibration fingerprint map, the influence of the drum vibration on the detection sensor is filtered out, and the field strength time sequence change value is recorded until the inner barrel of the clothes treatment device is stationary.

[0054] In step S104, the denoised position fingerprint is input into a preset field intensity time sequence classification model to obtain a detection result of whether there is a metal foreign object in the clothes.

[0055] In this embodiment, the method for obtaining the detection result of whether there is a metal foreign object in the clothes includes: comparing the denoised position fingerprint with the empty barrel position fingerprint to obtain the detection result of whether there is a metal foreign object in the clothes.

[0056] In this embodiment, the time sequence feature change data of the geomagnetic field intensity change is input into a field intensity time sequence classification detection model for classification detection; if the comparison of the denoised position fingerprint and the empty barrel position fingerprint shows that the data fluctuation is small, it is determined that the clothes processing equipment has no metal foreign object; if the comparison of the denoised position fingerprint and the empty barrel position fingerprint shows that the data fluctuation is large, it is determined that the clothes processing equipment has a metal foreign object.

[0057] The method for obtaining the detection result of whether there is a metal foreign object in the clothes includes: if the detection result is that the geomagnetic field intensity data in the clothes processing equipment is abnormal, sending a metal abnormality warning information to a display screen of the clothes processing equipment; and if the detection result is that the geomagnetic field intensity data in the clothes processing equipment is normal, starting a washing mode of the clothes processing equipment.

[0058] When it is determined that the clothes processing equipment has no metal foreign object, on one hand, a prompt information can be sent to the user to start the washing program by the user, and on the other hand, the washing program of the clothes processing equipment can be automatically started after the user completes the setting of the clothes processing equipment program; when it is determined that the clothes processing equipment has a metal foreign object, a metal abnormality warning information is sent to the display screen of the clothes processing equipment to remind the user to clean the metal foreign object in time.

[0059] After the detection result of whether there is a metal foreign object in the clothes is obtained, the method further includes: adding the detection result to a training data set of the time sequence classification model for iterative detection. Thus, the accuracy of the detection is improved by using the field intensity time sequence classification algorithm for iteration, thereby effectively improving the accuracy of the metal foreign object detection and reducing the complexity of the detection.

[0060] Figure 2 is a metal foreign object detection result judgment flowchart according to an embodiment of the present application, which includes steps S201-S203.

[0061] In step S201, state information of a clothes processing equipment is obtained.

[0062] In this embodiment, the state information of the clothes processing equipment refers to the running state information of the clothes processing equipment itself, including: motor speed information, rotation stop ratio, water inlet level change, water outlet level change, barrel balance fault, etc.

[0063] In step S202, it is determined whether the detection result is accurate according to the state information.

[0064] When the state information of the clothes processing device is self-checked, if the self-checking result is that the state information of the clothes processing device is normal, it can be determined that the detection result is accurate; if the self-checking result is that there is an abnormal situation in the state information of the clothes processing device, it can be determined that there is an interference factor in the detection result, and at this time, the self-fault of the clothes processing device needs to be investigated first. After the detection of the self-fault of the clothes processing device is completed and the targeted maintenance of the troubleshooting is completed, the geomagnetic field intensity data of the clothes processing device is detected again by the geomagnetic sensor.

[0065] After the detection of the state information of the clothes processing device is completed, the geomagnetic field intensity time series data and the detection result of this detection are input into the training data set of the time series machine classification model. The geomagnetic field intensity time series data and the detection result of this detection include the geomagnetic field intensity time series data and the detection result of the clothes processing device with metal foreign matter and the geomagnetic field intensity time series data and the detection result of the clothes processing device without metal foreign matter. The training of the time series machine learning classification model is iteratively performed, and the time series machine classification model is regularly updated, thereby improving the accuracy and precision of the metal foreign matter detection and reducing the complexity of the metal foreign matter detection.

[0066] In step S203, if the detection result is accurate, the detection result is added to the training data set of the time series classification model for iterative detection.

[0067] After the detection of the state information of the clothes processing device is completed and the self-checking is completed, if the state of the clothes processing device is normal, it is inferred that the detection result of the geomagnetic sensor for the geomagnetic field intensity data of the clothes processing device is accurate, the data obtained by the detection result is summarized to obtain summary data, and the time series feature change data of the geomagnetic field intensity change of the summary data is input into the training data set of the time series classification model, and the time series machine classification model is regularly updated.

[0068] In step S204, if the detection result is not accurate, the geomagnetic field intensity data of the clothes processing device is re-acquired by the geomagnetic sensor.

[0069] In this embodiment, in the case that the detection of the state information of the clothes processing device is completed and the self-checking is completed, the state of the clothes processing device is not normal, and it is inferred that the detection result of the geomagnetic sensor for the geomagnetic field intensity data of the clothes processing device is not accurate, the self-fault of the clothes processing device is also detected, and after the targeted maintenance of the troubleshooting is completed, the geomagnetic field intensity data of the clothes processing device is detected again by the geomagnetic sensor to obtain a new detection result.

[0070] The metal foreign matter detection method provided by the application is as follows: when clothes are put into a clothes treatment device, first, real-time field strength data sets of the clothes treatment device are collected by a geomagnetic sensor; then, the real-time field strength data sets are denoised to obtain denoised field strength data sets; second, a denoised position fingerprint map is established according to the denoised data sets; finally, the denoised position fingerprint map is input into a field strength time sequence classification model to obtain a detection result of whether there is metal foreign matter in the clothes. The method provided by the application is based on the collection of the field strength data of the inner and outer barrels of the clothes treatment device by the geomagnetic sensor, and the collected data is input into the field strength time sequence classification model to realize the detection of whether there is metal foreign matter in the clothes treatment device. Therefore, the method does not need an additional signal source generating device, can reduce energy consumption, is not limited by the time range, can improve the accuracy of the classification and detection of metal foreign matter, effectively improves the accuracy of the detection of metal foreign matter, reduces the complexity of the detection, and improves the user experience.

[0071] Embodiment two

[0072] Corresponding to the embodiments of the foregoing method, the application also provides an embodiment of a device and a terminal thereof.

[0073] Figure 3 is a block diagram of a clothes treatment device metal foreign matter detection device based on a cleaning device according to an embodiment of the application, as Figure 3 shown, the device 300 includes an acquisition device 301, a denoising device 302, an establishment device 303, and an acquisition device 304.

[0074] The acquisition device 301 is configured to collect real-time geomagnetic field strength data of the clothes treatment device by a geomagnetic sensor during the process of putting clothes into the clothes treatment device.

[0075] The denoising device 302 is configured to obtain denoised geomagnetic field strength data sets by denoising the real-time geomagnetic field strength data.

[0076] The establishment device 303 is configured to establish a denoised position fingerprint map according to the denoised geomagnetic field strength data sets.

[0077] The acquisition device 304 is configured to input the denoised position fingerprint map into a preset field strength time sequence classification model to obtain a detection result of whether there is metal foreign matter in the clothes.

[0078] Optionally, before the collection device 301 is used to put clothes into the clothing processing equipment, it further includes: when the clothing processing equipment is empty, collecting the geomagnetic field strength data of the empty bucket of the clothing processing equipment through a geomagnetic sensor; establishing an empty bucket location fingerprint map based on the empty bucket geomagnetic field strength dataset formed by the empty bucket geomagnetic field strength data; and inputting the empty bucket location fingerprint map into the field strength time series classification detection model as the standard classification model of the preset field strength time series classification model.

[0079] Optionally, the method for the acquisition device 301 to acquire geomagnetic field strength data of an empty bucket of a clothing processing device via a geomagnetic sensor further includes: when the clothing processing device is empty, the geomagnetic sensor acquires geomagnetic field strength data of the clothing processing device in real time and continuously updates the empty bucket location fingerprint map.

[0080] Optionally, the method for the denoising device 302 to denoise the real-time geomagnetic field strength data includes: denoising the real-time geomagnetic field strength data based on a preset vibration fingerprint dataset.

[0081] Optionally, the method for obtaining the vibration dataset in the noise reduction device 302 includes: in the experiment, by changing the state of the clothes put into the clothes processing device, collecting the amplitude value and field strength value of the inner drum of the clothes processing device during the process of putting clothes into the clothes processing device in different states, wherein the amplitude value of the inner drum of the clothes processing device is collected by an amplitude sensor; and establishing a vibration fingerprint dataset based on the amplitude value and the field strength value.

[0082] Optionally, the method for the acquisition device 304 to acquire the detection result of whether there is a metal foreign object inside the clothing includes: comparing the noise-reduced position fingerprint map with the empty drum position fingerprint map to acquire the detection result of whether there is a metal foreign object inside the clothing; if the detection result is that the magnetic field strength data inside the clothing is abnormal, then sending a metal abnormality warning message to the display screen of the clothing processing device; if the detection result is that the magnetic field strength data inside the clothing is normal, then starting the washing mode of the clothing processing device.

[0083] Optionally, after the acquisition device 304 acquires the detection result of whether there is a metal foreign object inside the clothing, it further includes: adding the detection result to the training dataset of the time-series classification model for iterative detection.

[0084] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0085] Figure 4 This is a block diagram of an electronic device according to an embodiment of the present invention, such as... Figure 4As shown, the electronic device includes a memory for storing computer instructions executable on a processor, and the processor for implementing the laundry treating apparatus metal foreign substance detection method according to any of the embodiments of the present application when executing the computer instructions. At least one embodiment of the present application also proposes a computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the laundry treating apparatus metal foreign substance detection method according to any of the embodiments of the present application. Those skilled in the art should understand that one or more embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, one or more embodiments of the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, one or more embodiments of the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROM, optical memory, etc.) having computer-usable program code embodied therein.

[0086] In the present application, "and / or" means at least one of the two, for example, "A and / or B" includes three schemes: A, B, and "A and B".

[0087] Each embodiment of the present application is described in a progressive manner, and the same or similar parts between embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, the embodiment of the laundry treating apparatus metal foreign substance detection device is described simply because it is basically similar to the method embodiment, and the relevant part can be referred to the part of the method embodiment.

[0088] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the acts or steps recited in the claims can be performed in a different order than those described in the embodiments and still achieve desirable results. Also, the processes depicted in the figures do not necessarily require the particular order shown or sequential order in order to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

[0089] Embodiments of the subject matter and the functional operations described in this specification can be implemented in digital electronic circuitry, in tangibly-embodied computer software or firmware, in computer hardware, including the structures disclosed in this specification and their structural equivalents, or in combinations of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible non-transitory program carrier for execution by, or to control the operation of, a laundry treatment apparatus metal foreign object detection device. Alternatively or additionally, the program instructions can be encoded on an artificially generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal that is generated to encode information for transmission to suitable receiver apparatus for execution by a laundry treatment apparatus metal foreign object detection device. The computer storage medium can be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0090] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit), and the apparatus can be a special purpose logic circuitry. The processes and logic flows can be embodied in one or more of machine-readable media, which include non-transitory machine-readable media, a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0091] Computers suitable for the execution of a computer program include, by way of example, general and / or special purpose microprocessors, or any other kind of central processing unit. Generally, a central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The essential elements of a computer are a central processing unit for performing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks. However, a computer need not have such devices. Moreover, a computer can be embedded in another device, e.g., a mobile telephone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device (e.g., a universal serial bus (USB) flash drive), to name just a few.

[0092] Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.

[0093] While the application contains many specifics, these should not be construed as limiting the scope of any invention or of what may be claimed, but rather as merely providing description of features of the exemplifications of the application. The application in its broadest aspects is therefore not limited to the specific details, examples, embodiments, and figures, set forth above, and it is contemplated that persons skilled in the art, upon attaining an understanding of the nature of the application, can, without departing from the spirit and scope of the application, reshape it to their suit.

[0094] Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring such order, nor that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing can be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0095] Accordingly, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the process depicted in the accompanying figures can not necessarily be performed in the particular order described, or sequential order at all. In some implementations, multitasking and parallel processing can be advantageous.

[0096] The above merely describes preferred embodiments of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed with the preferred embodiments as above, it is not intended to limit the present application, and any person skilled in the art can make some changes or modifications to the above-mentioned technical content with equivalent embodiments within the scope of the technical solutions of the present application. The embodiments in the above-mentioned embodiments can be further combined or replaced, as long as they do not deviate from the technical solutions of the present application. Any simple modification, equivalent change and modification made to the above-mentioned embodiments according to the technical essence of the present application are still within the scope of the present application.

Claims

1. A metal foreign substance detection method of a laundry treating apparatus having at least one geomagnetic sensor, the method comprising: detecting a geomagnetic field using the at least one geomagnetic sensor; and determining whether a metal foreign substance is present in the laundry treating apparatus based on a result of the detecting. The method comprises: During the process of putting clothes into the clothes treatment device, collecting real-time geomagnetic field intensity data of the clothes treatment device by a geomagnetic sensor; By denoising the real-time geomagnetic field intensity data, a denoised geomagnetic field intensity data set is obtained; According to the denoised geomagnetic field intensity data set, a denoised position fingerprint map is established; The denoised position fingerprint map is input into a preset field intensity time sequence classification model to obtain a detection result of whether there is a metal foreign object in the clothes; The method for denoising the real-time geomagnetic field intensity data comprises: Based on a preset vibration fingerprint data set, the real-time geomagnetic field intensity data is denoised; The method for obtaining the vibration fingerprint data set comprises: In the experiment, by changing the state of the clothes put into the clothes treatment device, the amplitude value and the field intensity value of the drum in the clothes treatment device during the process of putting the clothes into the clothes treatment device are collected, wherein the amplitude value of the drum in the clothes treatment device is collected by an amplitude sensor; According to the amplitude value and the field intensity value, a vibration fingerprint data set is established.

2. The clothes treatment device metal foreign object detection method according to claim 1, wherein Before the clothes are put into the clothes treatment device, the clothes further comprise: When the clothes treatment device is an empty drum, collecting empty-drum geomagnetic field intensity data of the clothes treatment device by a geomagnetic sensor; According to the empty-drum geomagnetic field intensity data set formed by the empty-drum geomagnetic field intensity data, an empty-drum position fingerprint map is established; The empty-drum position fingerprint map is input into a field intensity time sequence classification detection model as a standard classification model of the preset field intensity time sequence classification model.

3. The clothes treatment device metal foreign object detection method according to claim 2, wherein The collecting of the empty-drum geomagnetic field intensity data of the clothes treatment device by the geomagnetic sensor further comprises: When the clothes treatment device is an empty drum, the geomagnetic sensor collects real-time geomagnetic field intensity data of the clothes treatment device and constantly updates the empty-drum position fingerprint map.

4. The clothes treatment device metal foreign object detection method according to claim 2 or 3, wherein The method for obtaining the detection result of whether there is a metal foreign object in the clothes comprises: Comparing the denoised position fingerprint map with the empty-drum position fingerprint map to obtain the detection result of whether there is a metal foreign object in the clothes; If the detection result is that the geomagnetic field intensity data in the clothes is abnormal, sending a metal abnormality warning information to a display screen of the clothes treatment device; If the detection result is that the geomagnetic field intensity data in the clothes is normal, starting a washing mode of the clothes treatment device.

5. The clothes treatment device metal foreign object detection method according to claim 1, wherein After the detection result of whether there is a metal foreign object in the clothes is obtained, the method further comprises: Adding the detection result into a training data set of the time sequence classification model for iterative detection.

6. A laundry treating apparatus metal foreign substance detecting device employing the method according to any one of claims 1 to 5, characterized by The device comprises: A collection device configured to collect real-time geomagnetic field intensity data of the clothes treatment device by a geomagnetic sensor during the process of putting clothes into the clothes treatment device; The denoising device is configured to obtain a denoised geomagnetic field intensity data set by denoising the real-time geomagnetic field intensity data; The establishing device is configured to establish a denoised position fingerprint according to the denoised geomagnetic field intensity data set; The obtaining device is configured to input the denoised position fingerprint into a preset field intensity time sequence classification model to obtain a detection result of whether there is a metal foreign object in the clothes. 7.The metal foreign substance detection device of the laundry treating apparatus according to claim 6, characterized in that, The method for the denoising device to perform denoising processing on the real-time geomagnetic field intensity data includes: performing denoising processing on the real-time geomagnetic field intensity data based on a preset vibration fingerprint data set. 8.The metal foreign substance detection device of the laundry treating apparatus according to claim 7, characterized in that, The method for obtaining the vibration fingerprint data set in the denoising device includes: in an experiment, collecting amplitude values and field strength values of a drum in a clothes treatment equipment in a process of inputting clothes in different clothes states into the clothes treatment equipment by changing the clothes states, wherein the amplitude values of the drum in the clothes treatment equipment are collected by an amplitude sensor; and establishing a vibration fingerprint data set according to the amplitude values and the field strength values. 9.An electronic device comprising a memory and a processor, the electronic device characterized by, The memory stores a computer program, and the processor is configured to execute the method in any one of claims 1 to 5 by the computer program.

10. A computer-readable storage medium having stored thereon computer program instructions, wherein, The program instructions are executed by the processor to implement the clothes treatment equipment metal foreign object detection method in any one of claims 1 to 5.

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