A method for determining the type of metallic foreign object in a washing machine and the washing machine

Abstract

This invention discloses a method for determining the type of metal foreign object in a washing machine and a washing machine thereof. The method includes the following steps: acquiring the output voltage signal of a metal detection device; plotting a detection waveform curve that changes over time based on the acquired output voltage signal; if the output voltage signal reaches a set voltage threshold V0, inferring that there is a metal object in the clothes loaded into the washing machine; extracting the data features of the detection waveform curve, and comparing and analyzing the extracted data features with preset judgment data to determine the type of metal object. The washing machine provided by this invention, by employing the above-mentioned determination method, can accurately determine the type of metal object, improving the intelligence level of the washing machine and thus enhancing the user experience.

Description

Technical Field

[0001] This invention belongs to the field of foreign object detection technology in washing machines. Specifically, it relates to a method for determining the type of metallic foreign object in a washing machine and the washing machine itself. Background Technology

[0002] With the continuous improvement of people's living standards, washing machines have gradually become one of the essential home appliances, and most people use them as their primary tool for washing clothes. However, due to the fast pace of life, people often forget to check their clothing pockets when doing laundry, and these pockets frequently contain foreign metal objects such as coins, keys, metal jewelry, mobile phones, and earphones.

[0003] During the washing process, clothes are repeatedly agitated, and these metal objects may fall out of the pockets and come into direct contact with the inner drum of the washing machine. This can cause wear and tear on the inner drum and the clothes. Small objects such as coins, keys, and metal ornaments can easily get stuck in the gaps of the inner drum, potentially causing the drum to jam, the motor to overload, and other problems, resulting in serious damage or even destruction of the washing machine. Furthermore, electronic products such as mobile phones and headphones will become unusable after being submerged in water, causing financial loss to the user.

[0004] The invention patent with application number 201310683919.0 discloses a washing machine with a metal detector and its control method. The main controller of the washing machine disclosed in this application detects whether the clothes being put in contain metal objects by using the voltage signal output by the metal detector. When a metal object is detected, the controller controls the alarm device to sound an alarm.

[0005] The washing machine disclosed in the aforementioned application can only determine whether there are metal foreign objects by judging the threshold voltage and alert the user, but it cannot determine the type of metal object. Its level of intelligence is low. When there are metal objects such as metal zippers or metal buckles on the clothes, the alarm will be triggered because it cannot effectively distinguish the type of foreign object, which will cause some trouble for the user.

[0006] In view of this, the present invention is hereby proposed. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method for judging the type of metal foreign objects in a washing machine, which can accurately determine the type of metal objects, improve the intelligence level of the washing machine, and enhance the user experience.

[0008] To achieve the above objectives, the first aspect of this application discloses a method for determining the type of metallic foreign object in a washing machine, comprising the following steps:

[0009] Acquire the output voltage signal of the metal detection device;

[0010] The detected waveform curves that change over time are plotted based on the acquired output voltage signals;

[0011] If the output voltage signal is determined to reach the set voltage threshold V0, it is inferred that there are metal objects in the clothes put into the washing machine.

[0012] Extract the data features of the detected waveform curve, and compare and analyze the extracted data features with the preset judgment data to determine the type of metal object.

[0013] Furthermore, it includes a one-dimensional judgment mode, wherein the extracted data features include a first data feature, the preset judgment data includes a first preset parameter threshold, and the one-dimensional judgment mode includes:

[0014] The first data feature is compared with the first preset parameter threshold, and the type of metal item is inferred based on the judgment result.

[0015] Furthermore, it also includes a two-dimensional judgment mode, wherein the extracted data features further include second data features, and the preset judgment data further includes a second preset parameter threshold. The two-dimensional judgment mode includes:

[0016] The first data feature is compared with the first preset parameter threshold, and the second data feature is compared with the second preset parameter threshold. Based on the comparison results, the type of metal item is inferred.

[0017] Furthermore, it also includes a three-dimensional judgment mode, the extracted data features further include a third data feature, the preset judgment data further includes a third preset parameter threshold, and the three-dimensional judgment mode includes:

[0018] The first data feature is compared with the first preset parameter threshold, the second data feature is compared with the second preset parameter threshold, and the third data feature is compared with the third preset parameter threshold. Based on the comparison results, the type of metal item is inferred.

[0019] Preferably, it further includes a four-dimensional judgment mode, wherein the extracted data features further include a fourth data feature, and the preset judgment data further includes a fourth preset parameter threshold. The four-dimensional judgment mode includes:

[0020] The first data feature is compared with the first preset parameter threshold, the second data feature with the second preset parameter threshold, the third data feature with the third preset parameter threshold, and the fourth data feature with the fourth preset parameter threshold. Based on the comparison results, the type of metal item is inferred.

[0021] Furthermore, the method for determining the type of metallic foreign object in the washing machine also includes:

[0022] Obtain the voltage signal Vmin at the lowest point b in the detected waveform curve, and calculate the voltage difference V based on the voltage threshold V0 and the lowest point voltage signal Vmin. pp ;

[0023] The point where the falling edge of the detection waveform curve reaches the voltage threshold V0 is defined as point a, and the point where the rising edge reaches the voltage threshold V0 is defined as point c.

[0024] Obtain the slope K at point ab ab The slope K at point bc bc The time difference T between points b and c bc and the ratio of characteristic parameters Q=V pp ÷T bc ;

[0025] The extracted data features include voltage difference V. pp Slope K ab Slope K ab Time difference T bc The ratio of characteristic parameters Q = V pp ÷T bc Any one or any combination thereof.

[0026] Furthermore, during the process of the user placing the clothing, the metal detection device is kept on at all times, and the output voltage signal of the metal detection device is collected in real time.

[0027] Furthermore, the method for determining the type of metallic foreign object in the washing machine also includes the following steps:

[0028] Simulate the dropping of preset types of metal objects, extract the data features of the simulated waveform curves of the preset types of metal objects, and analyze and store them;

[0029] During the subsequent distribution of clothing, the data characteristics extracted from actual detection are analyzed and compared with the pre-stored preset judgment data to determine the type of metal items.

[0030] Furthermore, the simulated placement of metal items of a preset type specifically includes:

[0031] Start the simulated delivery program;

[0032] Receive and save the type of metal item entered by the user;

[0033] Collect the output voltage signal of the metal detection device and record the number of times N is applied;

[0034] Determine whether the number of deliveries N has reached the set number N0. If so, stop the simulated delivery and package the N0 output voltage signal data collected and upload them to the cloud.

[0035] The cloud extracts the data characteristics of the simulated waveform curve for each delivery, calculates the average value, uses it as the preset judgment data for this type of metal item, and sends it to the washing machine's control module.

[0036] During the subsequent operation of the washing machine, the control module compares and analyzes the detected and extracted data features with the preset judgment data to determine the type of metal object;

[0037] Preferably, the washing machine is equipped with a voice recognition module, which can receive the type of metal item input by the user's voice.

[0038] A second aspect of this application also provides a washing machine, employing the aforementioned method for determining the type of metallic foreign object in the washing machine, including:

[0039] A metal detection device is installed at the clothes inlet of the washing machine to detect the type of metal items in the clothes being loaded.

[0040] Preferably, the metal detection device includes:

[0041] The metal detection module is a ring-shaped structure installed at the clothing dispensing port;

[0042] The judgment and processing module is used to compare and analyze the data features of the extracted detection waveform curve with the preset judgment data to determine the type of metal object.

[0043] Furthermore, the metal detection module includes:

[0044] An LC oscillation circuit can generate a sinusoidal oscillation signal with a set frequency output range when a metal object passes through it.

[0045] The rectifier and filter circuit can rectify the sine wave generated by the LC sine wave oscillation circuit into a DC voltage and amplify it for the judgment and processing module.

[0046] The judgment and processing module includes:

[0047] The control circuit is used to determine the type of metal object based on the comparison and analysis results of the extracted data features and the preset judgment data.

[0048] Preferably, the metal detection device further includes:

[0049] The wireless communication module is used to enable wireless communication between the metal detection device and the cloud.

[0050] The voice recognition module is used to receive the type of metal object input by the user's voice, and / or to announce the type of metal object based on the judgment result of the control circuit, so as to remind the user.

[0051] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art.

[0052] 1. When this application infers that there are metal objects in the clothes loaded into the washing machine, it further determines the type of metal objects by extracting the data features of the detection waveform curve and comparing and analyzing the extracted data features with preset judgment data to determine the type of metal objects, remind the user of the type of metal objects, improve the intelligence level of the washing machine, enhance the human-computer interaction capability, and improve the user experience.

[0053] 2. The method for determining the type of metal foreign object in a washing machine provided in this application can accurately determine the type of metal object. The method is simple and efficient. Through the four-dimensional judgment mode, it can effectively detect up to sixteen types of metal objects. The detection of metal object types is comprehensive and rich, which can meet the needs of most users.

[0054] 3. The washing machine in this application is also equipped with a simulation delivery program. Users can simulate delivery based on the metal items that may actually be delivered to clothes in their homes. During the simulation delivery process, relevant simulation data features of the specific type of metal item are extracted. These features are then used as preset judgment data in the subsequent actual operation of the washing machine to determine the type of metal item actually delivered to the clothes. The addition of the simulation delivery program makes the detection of metal item types more targeted, more accurate, and better meets the personalized needs of users.

[0055] The specific embodiments of the present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0056] The accompanying drawings, as part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention, but do not constitute an undue limitation of the invention. Obviously, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without creative effort. In the drawings:

[0057] Figure 1 This is a flowchart of the method for determining the type of metallic foreign object in a washing machine according to an embodiment of the present invention;

[0058] Figure 2 This is a schematic diagram of the detection waveform curve in an embodiment of the present invention;

[0059] Figure 3 This is a schematic diagram comparing the detection waveform curves of different types of metal articles in an embodiment of the present invention;

[0060] Figure 4This is a flowchart illustrating the simulated deployment in an embodiment of the present invention;

[0061] Figure 5 This is a schematic diagram of the principle of the metal detection device in an embodiment of the present invention.

[0062] In the diagram: 10, metal detection module; 20, judgment and processing module.

[0063] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0065] The present invention will be further described in detail below with reference to the embodiments.

[0066] like Figures 1 to 3 As shown, this embodiment provides a method for determining the type of metal foreign object in a washing machine. The washing machine has a ring-shaped metal detection device at the clothes loading port, and the metal detection device contains an induction coil.

[0067] The determination method includes the following steps:

[0068] S101: Acquires the output voltage signal of the metal detection device;

[0069] S102: Plot the detection waveform curve that changes over time based on the acquired output voltage signal;

[0070] S103: If it is determined that the output voltage signal reaches the set voltage threshold V0, it is inferred that there are metal objects in the clothes put into the washing machine.

[0071] S104: Extract the data features of the detected waveform curve, and compare and analyze the extracted data features with the preset judgment data to determine the type of metal object;

[0072] S105: Remind users about the types of metal items in their clothing.

[0073] In the above solution, when the washing machine detects that there are metal objects in the clothes being loaded, it will further determine the type of metal objects. By extracting the data features of the detection waveform curve and comparing and analyzing the extracted data features with preset judgment data, the type of metal objects can be determined, and the user will be reminded of the type of metal objects. This improves the intelligence level of the washing machine, enhances the human-computer interaction capability, and improves the user experience.

[0074] Furthermore, the method for determining the type of metallic foreign object in the washing machine also includes the following steps:

[0075] S201: Acquire the voltage signal Vmin at the lowest point b in the detected waveform curve, and calculate the voltage difference V based on the voltage threshold V0 and the lowest point voltage signal Vmin. pp ;

[0076] S202: Set the point where the falling edge of the detection waveform curve reaches the voltage threshold V0 as point a, and the point where the rising edge reaches the voltage threshold V0 as point c.

[0077] S203: Obtain the slope K at point ab ab The slope K at point bc bc The time difference T between points b and c bc and the ratio of characteristic parameters Q=V pp ÷T bc ;

[0078] The extracted data features described in this embodiment include, but are not limited to: voltage difference V pp Slope K ab Slope K ab Time difference T bc The ratio of characteristic parameters Q = V pp ÷T bc Any one or any combination of the above. Of course, other defined data features can also be used, such as the ratio of feature parameters, which can also be the slope K. ab With time difference T bc The ratio of .

[0079] Different types of metal objects vary in their outline, material, shape, and size, and these differences affect the output voltage signal of the metal detection device, which in turn affects the voltage difference V, a key data characteristic parameter. pp Slope K ab Slope K ab Time difference T bc The ratio of characteristic parameters Q = V pp ÷T bc Therefore, in this embodiment, the type of metal item is distinguished by extracting data features of different types of metal items.

[0080] Furthermore, during the process of the user placing clothes, the metal detection device is kept on at all times to collect the output voltage signal of the metal detection device in real time. In this embodiment, the metal detection device can be set at the clothing placement port. When clothes are placed, if the clothes contain metal foreign objects, the output voltage signal of the metal detection device will fluctuate as the clothes pass through the clothing placement port. Then, the type of metal foreign object can be determined by the above judgment method.

[0081] Example 1

[0082] The method for determining the type of metal foreign object in the washing machine described in this embodiment includes a one-dimensional determination mode, the extracted data features include a first data feature, and the preset determination data includes a first preset parameter threshold.

[0083] The one-dimensional judgment mode includes: judging and comparing the first data feature with the first preset parameter threshold, and inferring the type of metal item based on the judgment result.

[0084] Combination Figure 2-3 As shown in Table 1, for example, if a user only needs to determine two types of metal items, they can select the one-dimensional judgment mode, and the first data feature is the voltage difference V. pp For example, to identify a mobile phone and car keys, such as... Figure 3 The waveform curves shown clearly indicate that the mobile phone V is the most likely to be detected when a mobile phone is placed in the device. pp Maximum, car key V pp Minimum, determined by a one-dimensional judgment pattern V pp The size of the object can be used to detect its specific metal composition. For example, during the factory testing of a washing machine, personnel simulated dropping a mobile phone into it and detected its metal composition. pp Greater than 50mV, car key V pp If the value is less than 30mV, the first preset parameter threshold is X1, where X1 is 40mV.

[0085] <![CDATA[V pp ]]> Item Judgment ≤X1 Item 1 ＞X1 Item 2

[0086] Table 1

[0087] During the actual operation of the washing machine, the voltage difference V is determined. pp The magnitude of the voltage difference V is determined when the voltage difference V is compared with the first preset parameter threshold X1. pp When the voltage difference is less than or equal to 40mV, it is deduced that the metallic foreign object in the clothing is a car key, and the user is alerted. When the voltage difference V is determined... pp If the voltage is greater than 40mV, it is inferred that the metallic foreign object in the clothing is a mobile phone, and the user is alerted.

[0088] In the above scheme, the first preset parameter threshold X1 and the one-dimensional judgment mode are stored in the washing machine's storage unit at the factory. When the washing machine is upgraded to be connected to the network, the value of the first preset parameter threshold X1 will be optimized accordingly.

[0089] Alternatively, in another preferred embodiment, the washing machine is equipped with a simulated dispensing program, through which the user can actively optimize the first preset parameter threshold.

[0090] In this embodiment, the first data feature in the one-dimensional judgment mode can also be the slope K. ab Slope K bc Time difference T bc and the ratio of characteristic parameters Q=V pp ÷T bc Any one of them.

[0091] As shown in Table 2 below, the first data feature can also be the feature parameter ratio Q. The first preset parameter threshold is N1. In the actual process of washing machine, if the extracted feature parameter ratio Q is less than or equal to N1, it is inferred that the type of metal item in the clothing is item 1. If it is determined that Q is greater than N1, it is inferred that the type of metal item in the clothing is item 2.

[0092] Q Item Judgment ≤N1 Item 1 ＞N1 Item 2

[0093] Table 2

[0094] Example 2

[0095] The method for determining the type of metal foreign object in the washing machine described in this embodiment also includes a two-dimensional determination mode, the extracted data features also include a second data feature, and the preset determination data also includes a second preset parameter threshold.

[0096] The two-dimensional judgment mode includes: judging and comparing the first data feature with the first preset parameter threshold and the second data feature with the second preset parameter threshold respectively, and inferring the type of metal item based on the judgment result.

[0097] Specifically, in conjunction with the appendix Figure 2-3 As shown in Table 3, V-shaped keys, such as Bluetooth keys and car keys, are... pp If they are relatively similar, the type of metal item can be further distinguished and determined by comparing the second data feature.

[0098] For example, as shown in Table 3, the first data feature can be V. pp The first preset parameter threshold is X1; the second data feature is K. ab The second preset parameter threshold is Y1. During the actual operation of the washing machine, when V is detected...pp ≤X1、K ab When Y ≤ Y1, it can be deduced that the item is metal and is item 1; when V is determined... pp ≤X1、K ab When Y > 1, it can be deduced that the item is metal and is item 3; when V is determined... pp >X1, K ab When Y1 ≤ Y1, it can be deduced that it is a metal item, item 2; when V is determined... pp >X1, K ab If Y > 1, then it can be deduced that it is a metal item, item 4.

[0099] Of course, in this embodiment, in the two-dimensional judgment mode, the first data feature and the second data feature can be the voltage difference V. pp Slope K ab Slope K ab Time difference T bc The ratio of characteristic parameters Q = V pp ÷T bc Any two combinations.

[0100]

[0101] Table 3

[0102] Example 3

[0103] The method for determining the type of metal foreign object in the washing machine described in this embodiment also includes a three-dimensional determination mode, the extracted data features also include a third data feature, and the preset determination data also includes a third preset parameter threshold.

[0104] Combination Figure 2-3 As shown in Table 4, the three-dimensional judgment mode includes: judging and comparing the size of the first data feature with the first preset parameter threshold, the second data feature with the second preset parameter threshold, and the third data feature with the third preset parameter threshold, and inferring the type of metal item based on the judgment results.

[0105] As shown in Table 4, the first data feature can be taken as V. pp The first preset parameter threshold is X1; the second data feature is K. ab The second preset parameter threshold is Y1; the third data feature is K. bc The third preset parameter threshold is Z1. During the actual operation of the washing machine, when V is detected... pp ≤X1、K ab When ≤Y1, K bc If Z1 ≤ Z1, it can be deduced that it is a metal item, which is item 1; when V is determined... pp ≤X1、K abWhen ≤Y1, K bc >Z1 indicates that it is a metal item, item 5; when V is determined pp ≤X1、K ab >Y1, K bc When Z1 ≤ Z1, it can be deduced that the item is a metal item, item 3; when V is determined... pp ≤X1、K ab >Y1, K bc When the value is greater than Z1, it can be deduced that the item is a metal item, as shown in Table 4. In this way, a total of eight types of metal items can be deduced.

[0106]

[0107] Table 4

[0108] Example 4

[0109] The method for determining the type of metal foreign object in the washing machine described in this embodiment further includes a four-dimensional determination mode. The extracted data features also include a fourth data feature, and the preset determination data also includes a fourth preset parameter threshold. The four-dimensional determination mode includes: respectively judging and comparing the first data feature with the first preset parameter threshold, the second data feature with the second preset parameter threshold, the third data feature with the third preset parameter threshold, and the fourth data feature with the fourth preset parameter threshold, and inferring the type of metal object based on the judgment results.

[0110] As shown in Table 5, the first data feature can be taken as V. pp The first preset parameter threshold is X1; the second data feature is K. ab The second preset parameter threshold is Y1; the third data feature is K. bc The third preset parameter threshold is Z1; the fourth data feature is T. bc The fourth preset parameter threshold is M1.

[0111] The washing machine metal foreign object type determination method provided in this embodiment can accurately determine the type of metal object. The determination method is simple and efficient. Through the four-dimensional determination mode, it can effectively detect up to sixteen types of metal objects. The detection of metal object types is more comprehensive and richer, which can meet the needs of most users.

[0112]

[0113] Table 5

[0114] In this embodiment, the washing machine can default to any of the judgment modes in embodiments one to four. Preferably, since the four-dimensional judgment mode is more comprehensive and richer in detecting metal object types, the washing machine can be set to the four-dimensional judgment mode as the default judgment mode.

[0115] Preferably, in the washing machine metal foreign object type determination method provided in this embodiment, the user can switch the determination mode according to actual needs through the washing machine's control panel or control terminal. For example, the one-dimensional determination mode is used to distinguish between headphones and car keys. If the user thinks that they might actually put headphones and car keys into the washing machine, then the washing machine can be switched to the one-dimensional determination mode. This not only meets the user's personalized needs, but also effectively improves the determination efficiency of metal foreign object type.

[0116] Preferably, when the user switches between one-dimensional judgment mode, two-dimensional judgment mode, three-dimensional judgment mode and four-dimensional judgment mode, the washing machine's display unit will display the types of metal items that can be detected for each judgment mode, providing the user with certain convenience.

[0117] Example 5

[0118] The method for determining the type of metal foreign object in the washing machine described in this embodiment differs from embodiments one to four above in that the preset determination data includes multiple numerical ranges, and the type of metal object is inferred by judging the range in which the extracted data features are located.

[0119] The washing machine includes a one-dimensional judgment mode, in which the type of metal object can be determined based on a first preset numerical range in which the extracted first data feature is located. The first preset numerical range includes at least two or more numerical ranges, with different numerical ranges corresponding to different types of metal objects.

[0120] The washing machine includes a two-dimensional judgment mode, in which the type of metal object can be determined based on a first preset value range containing the extracted first data feature and a second preset value range containing the extracted second data feature. The second preset value range includes at least two or more value ranges. Similarly, the washing machine also includes a three-dimensional judgment mode, a four-dimensional judgment mode, a five-dimensional judgment mode, and so on.

[0121] In this embodiment, the type of metal object is determined by the range of numerical values, which enables the identification of more types of metal objects.

[0122] Example 6

[0123] The method for determining the type of metallic foreign object in a washing machine as described in this embodiment further includes the following steps:

[0124] Simulate the dropping of preset types of metal objects, extract the data features of the simulated waveform curves of the preset types of metal objects, and analyze and store them;

[0125] During the subsequent distribution of clothing, the data characteristics extracted from actual detection are analyzed and compared with the pre-stored preset judgment data to determine the type of metal items.

[0126] Further, if Figure 4 As shown, the simulated placement of a preset type of metal object specifically includes:

[0127] Start the simulated delivery program;

[0128] Receive and save the type of metal item entered by the user;

[0129] Collect the output voltage signal of the metal detection device and record the number of times N is applied;

[0130] Determine whether the number of deliveries N has reached the set number N0. If so, stop the simulated delivery and package the N0 output voltage signal data collected and upload them to the cloud.

[0131] The cloud extracts the data characteristics of the simulated waveform curve for each delivery, calculates the average value, uses it as the preset judgment data for this type of metal item, and sends it to the washing machine's control module.

[0132] During the subsequent operation of the washing machine, the control module compares and analyzes the detected and extracted data features with the preset judgment data to determine the type of metal object.

[0133] For example, a user can simulate dropping their car key, setting it to simulate 5-10 drops and extracting the voltage difference V from the simulated waveform curve during each drop. pp And calculate the average voltage difference V over these 5-10 cycles. pp "" is used as preset judgment data. During the actual operation of the washing machine, the actual detected voltage difference V is judged. pp Approaching the V pp ", or in other words, in the V pp If the setting is within the specified range, it can be inferred that there is a car key among the clothing items placed inside, and the user will be alerted.

[0134] Preferably, the washing machine is equipped with a voice recognition module, which can receive the type of metal item input by the user's voice.

[0135] In this embodiment, the washing machine incorporates a simulated dispensing program, allowing users to simulate the dispensing of metal items that might end up in their clothes. During the simulation, relevant simulated data features of the specific type of metal item are extracted and used as preset judgment data in the washing machine's subsequent operation to determine the type of metal item actually dispensed into the clothes. This simulated dispensing program makes the detection of metal item types more targeted and accurate, meeting users' personalized needs.

[0136] Furthermore, the added simulation delivery program can optimize the parameter thresholds of the washing machine's preset judgment data, enabling more accurate determination of the type of metal items that the user actually puts into the washing machine.

[0137] Example 7

[0138] like Figure 5 As shown, this embodiment provides a washing machine that uses the method for determining the type of metal foreign object in the washing machine described in any of the embodiments one to six above.

[0139] The washing machine includes:

[0140] The washing machine body has a clothes loading port on the top;

[0141] A metal detection device is installed at the clothes inlet of the washing machine to detect the type of metal items in the clothes being loaded.

[0142] The alarm device in the washing machine's control module will trigger an alarm based on the type of metal foreign object detected by the metal detection device.

[0143] For example, if the washing machine's control module detects a metal object such as a mobile phone, Bluetooth headset, or key, it will activate the alarm. However, if the control module detects a metal object such as a clothing zipper or metal button, it will not activate the alarm. This method effectively solves the problem of existing washing machines triggering alarms regardless of the type of metal object detected, causing inconvenience to users.

[0144] Preferably, the metal detection device includes:

[0145] Metal detection module 10 is a ring structure installed at the clothing delivery port;

[0146] The judgment and processing module 20 is used to compare and analyze the data features of the extracted detection waveform curve with the preset judgment data to determine the type of metal object.

[0147] Further, if Figure 5As shown, the metal detection module 10 includes:

[0148] An LC oscillation circuit can generate a sinusoidal oscillation signal with a set frequency output range when a metal object passes through it.

[0149] The rectifier and filter circuit can rectify the sine wave generated by the LC sine wave oscillator circuit into a DC voltage and amplify it for the judgment and processing module.

[0150] In the above scheme, the LC oscillation circuit mainly enables self-excited oscillation to generate a 20KHz sine wave. When a metal object passes through the metal detection module 10, it will generate an eddy current effect, which will affect the inductance and impedance characteristics of the induction coil, and change the amplitude and frequency of the sine wave, mainly affecting the amplitude of the sine wave.

[0151] The rectifier and filter circuit mainly rectifies the sine wave generated by the coil LC oscillation circuit into a DC voltage, and amplifies it to the ADC in the judgment and processing module 20, which then samples and converts it into a digital signal.

[0152] Preferably, the metal detection module 10 further includes:

[0153] The feedback loop, connected to the LC oscillation circuit, is used to amplify the amplitude variation of the sine wave.

[0154] In this embodiment, the judgment processing module 20 includes:

[0155] The control circuit is used to determine the type of metal object based on the comparison and analysis results of the extracted data features and the preset judgment data.

[0156] In this embodiment, the metal detection device uploads the output voltage signal to the cloud, where data features are extracted and analyzed. Alternatively, data extraction and analysis can also be performed on the washing machine's local controller.

[0157] Preferably, the metal detection device further includes:

[0158] The wireless communication module is used to enable wireless communication between the metal detection device and the cloud.

[0159] The control circuit can upload digital signals to the cloud via a wireless communication module, and the cloud can extract the data features of the detected waveform curve. Of course, in another implementation, the data can also be extracted and analyzed locally at the washing machine.

[0160] Preferably, the metal detection device further includes:

[0161] The voice recognition module is used to receive the type of metal object input by the user's voice, and / or to announce the type of metal object based on the judgment result of the control circuit, so as to remind the user.

[0162] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-described technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for determining the type of metallic foreign object in a washing machine, characterized in that, Includes the following steps: Acquire the output voltage signal of the metal detection device; The detected waveform curves that change over time are plotted based on the acquired output voltage signals; If the output voltage signal is determined to reach the set voltage threshold V0, it is inferred that there are metal objects in the clothes put into the washing machine. Extract the data features of the detected waveform curve, and compare and analyze the extracted data features with the preset judgment data to determine the type of metal object; The multidimensional judgment mode includes at least two data features, the preset judgment data includes at least two preset parameter thresholds, and the multidimensional judgment mode includes: The first data feature is compared with the first preset parameter threshold, and the second data feature is compared with the second preset parameter threshold. Based on the judgment results, the type of metal item is inferred. It also includes: acquiring the voltage signal Vmin at the lowest point b in the detected waveform curve, and calculating the voltage difference V based on the voltage threshold V0 and the lowest point voltage signal Vmin. pp ; Let point a be the point where the voltage drops to the voltage threshold V0 along the detection waveform curve, and point c be the point where the voltage rises to the voltage threshold V0. Obtain the slope K of point ab ab The slope K at point bc bc The time difference T between points b and c bc and the ratio of characteristic parameters Q=V pp ÷T bc ; The extracted data features include voltage difference V. pp Slope K ab Slope K bc Time difference T bc The ratio of characteristic parameters Q=V pp ÷T bc .

2. The method for determining the type of metallic foreign object in a washing machine according to claim 1, characterized in that: It also includes a two-dimensional judgment mode, the extracted data features further include a second data feature, the preset judgment data further includes a second preset parameter threshold, and the two-dimensional judgment mode includes: The first data feature is compared with the first preset parameter threshold, and the second data feature is compared with the second preset parameter threshold. Based on the comparison results, the type of metal item is inferred.

3. The method for determining the type of metallic foreign object in a washing machine according to claim 1, characterized in that: It also includes a three-dimensional judgment mode, the extracted data features further include a third data feature, the preset judgment data further includes a third preset parameter threshold, and the three-dimensional judgment mode includes: The first data feature is compared with the first preset parameter threshold, the second data feature is compared with the second preset parameter threshold, and the third data feature is compared with the third preset parameter threshold. Based on the comparison results, the type of metal item is inferred.

4. The method for determining the type of metallic foreign object in a washing machine according to claim 1, characterized in that: It also includes a four-dimensional judgment mode, wherein the extracted data features further include a fourth data feature, and the preset judgment data further includes a fourth preset parameter threshold. The four-dimensional judgment mode includes: The first data feature is compared with the first preset parameter threshold, the second data feature with the second preset parameter threshold, the third data feature with the third preset parameter threshold, and the fourth data feature with the fourth preset parameter threshold. Based on the comparison results, the type of metal item is inferred.

5. The method for determining the type of metallic foreign object in a washing machine according to any one of claims 1-4, characterized in that: During the process of the user placing clothes, the metal detection device is kept on at all times, and the output voltage signal of the metal detection device is collected in real time.

6. The method for determining the type of metallic foreign object in a washing machine according to any one of claims 1-4, characterized in that, It also includes the following steps: Simulate the dropping of preset types of metal objects, extract the data features of the simulated waveform curves of the preset types of metal objects, and analyze and store them; During the subsequent distribution of clothing, the data characteristics extracted from actual detection are analyzed and compared with the pre-stored preset judgment data to determine the type of metal items.

7. The method for determining the type of metallic foreign object in a washing machine according to claim 6, characterized in that, The simulated placement of preset type metal items specifically includes: Start the simulated delivery program; Receive and save the type of metal item entered by the user; Collect the output voltage signal of the metal detection device and record the number of times N is applied; Determine whether the number of deliveries N has reached the set number N0. If so, stop the simulated delivery and package the N0 output voltage signal data collected and upload them to the cloud. The cloud extracts the data characteristics of the simulated waveform curve for each delivery, calculates the average value, uses it as the preset judgment data for this type of metal item, and sends it to the washing machine's control module. During the subsequent operation of the washing machine, the control module compares and analyzes the detected and extracted data features with the preset judgment data to determine the type of metal object.

8. The method for determining the type of metallic foreign object in a washing machine according to claim 7, characterized in that, The washing machine is equipped with a voice recognition module, which can receive the type of metal item input by the user's voice.

9. A washing machine, characterized in that: The method for determining the type of metallic foreign object in a washing machine according to any one of claims 1-8 includes: A metal detection device is installed at the clothes inlet of a washing machine to detect the types of metal items in the clothes being loaded.

10. The washing machine according to claim 9, characterized in that: The metal detection device includes: The metal detection module is a ring-shaped structure installed at the clothing dispensing port; The judgment and processing module is used to compare and analyze the data features of the extracted detection waveform curve with the preset judgment data to determine the type of metal object.

11. The washing machine according to claim 10, characterized in that: The metal detection module includes: An LC oscillation circuit can generate a sinusoidal oscillation signal with a set frequency output range when a metal object passes through it. The rectifier and filter circuit can rectify the sine wave generated by the LC sine wave oscillation circuit into a DC voltage and amplify it for the judgment and processing module. The judgment and processing module includes: The control circuit is used to determine the type of metal object based on the comparison and analysis results of the extracted data features and the preset judgment data.

12. The washing machine according to claim 9, characterized in that: The metal detection device further includes: The wireless communication module is used to enable wireless communication between the metal detection device and the cloud. The voice recognition module is used to receive the type of metal object input by the user's voice, and / or to announce the type of metal object based on the judgment result of the control circuit, so as to remind the user.

Images