Material detection method, device, apparatus, storage medium, and clothes processing apparatus

Abstract

The present disclosure relates to a material detection method, device, equipment, storage medium and clothes processing equipment. The material detection method comprises: obtaining a target detection parameter; determining that it is in a first detection period, controlling the material detection module to detect the clothes in the clothes processing equipment for a preset number of times to obtain preset number of sub-detection data; calculating the consistency of the preset number of sub-detection data; determining that the consistency of the preset number of sub-detection data is greater than a preset threshold, stopping detection, and determining the detection data based on the preset number of sub-detection data. When the consistency of the preset number of sub-detection data is greater than the preset threshold, it indicates that the clothes in the clothes processing equipment are of the same or similar material. At this time, the detection can be stopped and the detection data can be determined based on the preset number of sub-detection data, rather than continuing to detect the clothes until the target detection time is reached as in the prior art, thereby shortening the detection time, improving the detection efficiency, and avoiding wasting resources.

Description

Technical Field

[0001] This disclosure relates to the field of garment processing, and in particular to material testing methods, apparatus, equipment, storage media, and garment processing equipment. Background Technology

[0002] With the development of garment processing technology, garment processing equipment typically selects appropriate parameters based on the material of the garment. For example, washing machines usually select suitable washing parameters according to the material of the garment to avoid inadequate cleaning or damage. Therefore, how to detect the material of garments has become a research hotspot.

[0003] Currently, when there are many clothes in the drum of a garment processing device, considering that different clothes may have different materials, the detection time is usually long in order to accurately detect each material. However, when the clothes in the drum are of the same or similar material, their corresponding washing parameters are usually the same or similar. In this case, if it still takes a long time to perform accurate detection, it will affect the washing efficiency. Summary of the Invention

[0004] To address the aforementioned technical problems, this disclosure provides a material testing method, apparatus, equipment, storage medium, and garment processing equipment.

[0005] Firstly, this disclosure provides a material testing method, including:

[0006] Obtain target detection parameters, including target detection duration, which includes at least a first detection cycle and a second detection cycle;

[0007] Once it is determined that it is in the first detection cycle, the material detection module is controlled to perform a preset number of tests on the clothing in the clothing processing equipment to obtain a preset number of sub-detection data.

[0008] Calculate the consistency of sub-detection data a preset number of times;

[0009] If the consistency of a preset number of sub-detection data points exceeds a preset threshold, stop the detection and determine the detection data based on the preset number of sub-detection data points.

[0010] In yet another embodiment of this disclosure, the method further includes:

[0011] If the consistency of the preset number of sub-detection data obtained in the first detection cycle is less than or equal to a preset threshold, then proceed to the second detection cycle.

[0012] All sub-detection data obtained within the target detection time are identified as detection data.

[0013] In another embodiment of this disclosure, the method further includes:

[0014] Based on the test data, the material information of the clothing is determined.

[0015] In another embodiment of this disclosure, the first detection cycle in the target detection duration is the first detection cycle.

[0016] In another embodiment of this disclosure, before obtaining the target detection parameters, the method further includes:

[0017] Control the clothing weighing module to weigh the clothing and obtain the clothing weight;

[0018] The acquisition of target detection parameters includes:

[0019] Target detection parameters are determined based on the weight of the clothing.

[0020] In another embodiment of this disclosure, determining target detection parameters based on clothing weight includes:

[0021] Find the target weight level for the garment from multiple preset weight levels;

[0022] The preset detection parameters corresponding to the target weight level are determined as the target detection parameters.

[0023] In another embodiment of this disclosure, the target detection parameters further include the target rotation speed of the garment processing chamber in the garment processing device;

[0024] The method also includes controlling the garment processing chamber in the garment processing equipment to rotate at a target rotational speed.

[0025] In another embodiment of this disclosure, the material information of the clothing is obtained based on the detection data, including:

[0026] The test data is sent to the cloud platform; the cloud platform is used to determine the material information based on the test data.

[0027] Receive material information returned by the cloud platform.

[0028] Secondly, this disclosure also provides a material testing device, comprising:

[0029] The first acquisition module is used to acquire target detection parameters, wherein the target detection parameters include target detection duration, and the target detection duration includes at least a first detection cycle and a second detection cycle;

[0030] The first determining module is used to determine that it is in the first detection cycle, and controls the material detection module to perform a preset number of detections on the clothing in the clothing processing equipment to obtain a preset number of sub-detection data.

[0031] The first calculation module is used to calculate the consistency of a preset number of sub-detection data;

[0032] The second determining module is used to determine if the consistency of a preset number of sub-detection data is greater than a preset threshold, stop detection, and determine the detection data based on the preset number of sub-detection data.

[0033] Thirdly, this disclosure also provides a material testing device, including:

[0034] processor;

[0035] Memory, used to store executable instructions;

[0036] The processor is used to read executable instructions from memory and execute the executable instructions to implement the material detection method of the first aspect mentioned above.

[0037] Fourthly, this disclosure also provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the material detection method of the first aspect described above.

[0038] Fifthly, this disclosure also provides a garment processing device, comprising at least one of the following:

[0039] The material testing device described in the second aspect above;

[0040] The material testing equipment described in the third aspect above;

[0041] The computer-readable storage medium described in the fourth aspect above.

[0042] The technical solution provided in this disclosure has the following advantages compared with the prior art:

[0043] The material detection method, apparatus, device, storage medium, and garment processing device of this disclosure acquire target detection parameters, wherein the target detection parameters include a target detection duration, and the target detection duration includes at least a first detection cycle and a second detection cycle; determine that it is in the first detection cycle, control the material detection module to perform a preset number of tests on the garments in the garment processing device, and obtain a preset number of sub-detection data; calculate the consistency of the preset number of sub-detection data; determine that the consistency of the preset number of sub-detection data is greater than a preset threshold, stop the detection, and determine the detection data based on the preset number of sub-detection data. According to the embodiments of this disclosure, when the consistency of the preset number of sub-detection data is greater than a preset threshold, it indicates that the garment materials in the garment processing device are the same or similar, or that the garment compositions are the same or similar. At this time, the detection can be stopped and the detection data can be determined based on the preset number of sub-detection data, instead of continuing to detect the garments until the target detection duration is reached as in the prior art, thereby shortening the detection time, improving detection efficiency, and avoiding resource waste. Attached Figure Description

[0044] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0045] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a schematic flowchart of a material testing method provided in an embodiment of the present disclosure;

[0047] Figure 2 This is a schematic diagram of the structure of a material detection module on an observation window provided in an embodiment of this disclosure;

[0048] Figure 3 for Figure 2 A side sectional view of the washing machine where the observation window is located;

[0049] Figure 4 This is a schematic diagram of the structure of a garment processing system provided in an embodiment of the present disclosure;

[0050] Figure 5 A schematic flowchart of another material testing method provided in this embodiment of the present disclosure;

[0051] Figure 6 This is a schematic diagram of the structure of a material testing device provided in an embodiment of the present disclosure;

[0052] Figure 7 This is a schematic diagram of the structure of a material testing device provided in an embodiment of this disclosure. Detailed Implementation

[0053] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0054] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0055] The term "comprising" and its variations as used herein are open-ended inclusions, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below.

[0056] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0057] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0058] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0059] Figure 1 This is a schematic flowchart of a material testing method provided in an embodiment of this disclosure.

[0060] In some embodiments of this disclosure, Figure 1 The method shown can be applied to material detection devices in washing machines, dryers, washer-dryer combos, garment care machines, or other types of garment processing equipment. The material detection device can be, for example, a controller in the garment processing equipment, but is not limited thereto.

[0061] like Figure 1 As shown, the material testing method may include the following steps.

[0062] S110, Obtain target detection parameters.

[0063] The target detection parameters include the target detection duration, which includes at least the first detection cycle and the second detection cycle.

[0064] Specifically, the target detection time is the estimated detection time for the clothing detection module on the clothing in the clothing processing equipment. In other words, the target detection time is the estimated time difference between the start and stop of detection by the material control module. Typically, the target detection time is related to factors such as clothing weight.

[0065] Specifically, the target detection duration may include at least two detection cycles, which include a first detection cycle and a second detection cycle. For a detailed explanation of the first detection cycle and the second detection cycle, please refer to the following text, which will not be elaborated here.

[0066] In some embodiments, after receiving a detection start command, the material detection device can acquire target detection parameters. Taking a drum washing machine as an example, in this embodiment, the drum inside the washing machine can be controlled to rotate, so that the clothes inside the drum rotate within the drum, and the detection module can be controlled to detect the clothes inside the drum to obtain detection data.

[0067] Specifically, the detection start command can be any command that enables the material testing equipment to start the testing process.

[0068] In one example, a detection start switch can be set on the garment processing equipment. When the user triggers the detection start switch, the material detection equipment can receive the detection start command.

[0069] In another embodiment, the terminal may be equipped with an application (APP) client. When the APP client receives a detection start trigger operation triggered by the user, it can send a detection start command to the material detection device.

[0070] The detection start-up trigger operation may include triggering the detection start-up control through touch, or by operating the mouse and keyboard, but is not limited to these methods.

[0071] S120. Determine that the first detection cycle is in progress, and control the material detection module to perform a preset number of tests on the clothing in the clothing processing equipment to obtain a preset number of sub-detection data.

[0072] In this embodiment of the disclosure, the target detection time can be divided into at least two detection cycles to periodically detect the material of the clothing. When the material detection device determines that the current detection cycle is the first detection cycle, it can control the material detection module to perform a preset number of detections on the clothing in the clothing processing device to obtain a preset number of sub-detection data.

[0073] Specifically, the specific duration of the testing cycle can be set by those skilled in the art according to the actual situation, and is not limited here.

[0074] In some embodiments, the detection cycle is positively correlated with the target detection duration. For example, the detection cycle may be 1 / 3 or 1 / 5 of the target detection duration, but it is not limited to these.

[0075] In other embodiments, the detection period is a fixed value and is less than the target detection time.

[0076] Specifically, in the target detection duration, which includes at least two detection cycles, the first preset number of detection cycles constitute the first detection cycle, and the remaining detection cycles constitute the second detection cycle. In other words, the first detection cycle is the earlier detection cycle on the timeline among the at least two detection cycles, and the second detection cycle is the later detection cycle on the timeline among the at least two detection cycles.

[0077] It should be noted that the specific value of the preset quantity can be set by those skilled in the art according to the actual situation, and is not limited here. For example, the preset quantity can be 1, 2 or 3, etc.

[0078] Specifically, when the preset quantity is greater than or equal to 2, in each first detection cycle, the material detection equipment controls the material detection module to perform a preset number of detections on the clothing in the clothing processing equipment, and obtain a preset number of sub-detection data.

[0079] It should be noted that the specific value of the preset number of times can be set by those skilled in the art based on the actual situation such as the duration of the first detection cycle and the target detection duration, and is not limited here.

[0080] Specifically, the material detection module can be any non-contact module capable of detecting the material of clothing. Optionally, the material detection module can include a spectrum-based non-contact material detection module, for example, it can include a non-contact material detection module based on near-infrared spectroscopy or other spectra known to those skilled in the art, but it is not limited thereto.

[0081] Specifically, for a spectral-based material detection module, the meaning of performing a single detection on clothing is as follows: the material detection module emits detection light to the clothing and receives the reflected light from the clothing in response to the detection light, thus obtaining the spectrum of the reflected light. It should be noted that the meaning of a single detection on clothing by material detection modules based on other principles can be understood by referring to the meaning of a single detection on clothing by a spectral-based material detection module, and will not be elaborated upon here.

[0082] Specifically, sub-detection data can be the data obtained after the material detection module performs a single detection on the clothing in the clothing processing equipment. The specific content of the sub-detection data is related to the working principle of the material detection module. For example, for a spectrum-based material detection module, it can emit detection light and receive the reflected light from the clothing. The spectrum of the reflected light is part of the sub-detection data, but it is not limited to this.

[0083] Specifically, the exact installation location of the material detection module on the garment processing equipment can be set by those skilled in the art according to the actual situation, and is not limited here, as long as it can realize the detection of garments inside the garment processing equipment. For example, Figure 2 This is a schematic diagram of the structure of a material detection module on the observation window of a garment processing device, as provided in an embodiment of this disclosure. Figure 3 for Figure 2 The observation window shown is a side sectional view of the clothing handling equipment. See also: (Example: A drum washing machine) Figure 2 and Figure 3 The material detection module (DM) can be mounted on the viewing window, allowing the detection light emitted by the DM to illuminate the inside of the rollers for inspection of the garments within the garment processing equipment. It should be noted that the scanning angle of the DM module can be close to the bottom of the parallel rollers, but is not limited to this. Furthermore, Figure 2 The image only shows the Material Detection Module (DM) positioned in the lower center of the viewing window, but it is not limited to this.

[0084] Specifically, when the material testing module detects clothing and obtains sub-detection data, it can feed the sub-detection data back to the material testing equipment.

[0085] Specifically, when the material detection module detects clothing, the roller can be in a stationary state or in a rotating state; there is no limitation here.

[0086] Preferably, the drum is rotating. This allows the material detection module to ensure that each garment passes through its effective detection area, thus enabling thorough testing of each garment. For example, in a side-opening drum washing machine, as the drum rotates, the garments inside are lifted to a certain height and then dropped. During this continuous lifting and dropping, the garments pass through the effective detection area of ​​the material detection module, allowing the module to fully test each garment and obtain sub-detection data. Furthermore, for the spectral-based material detection module, during the continuous lifting and dropping of clothing, it ensures that the clothing passes through the effective detection area of ​​the module. Within this area, the detection light emitted by the module hits the clothing and is reflected back. The module receives the reflected light and determines its spectrum. Even with multiple garments in the drum, the constant lifting and dropping changes their position, ensuring each garment has the opportunity to receive the detection light and reflect it back to the module. This allows the module to obtain the reflected light from each garment and perform thorough detection of the clothing within the drum. The same principle applies to top-loading garment handling equipment, which will not be elaborated upon here.

[0087] S130. Calculate the consistency of the sub-detection data for a preset number of times.

[0088] Specifically, the consistency calculation of the preset number of sub-detection data can be performed by the material detection equipment or by other electronic devices (such as cloud platforms or material detection modules), and there is no limitation here.

[0089] Specifically, the consistency of a preset number of sub-detection data points is used to characterize the degree of convergence among these data points. Furthermore, since each detection of clothing within the garment processing equipment yields a sub-detection data point, theoretically, a set of material information (i.e., the proportion of each garment component) can be determined based on this sub-detection data point. Therefore, theoretically, a preset number of sub-detection data points can determine a preset number of sets of material information. For example, for a spectral-based material detection module, the sub-detection data is the spectrum of reflected light. Based on the spectrum of the first reflected light, a set of material information can be determined, such as 20% cotton and 80% linen. Based on the spectrum of the second reflected light, a set of material information can be determined, such as 21% cotton and 79% linen, and so on. Based on the spectrum of the preset number of reflected light, a set of material information can be determined, such as 20.5% cotton and 79.5% linen. Therefore, the consistency of a preset number of sub-detection data points also characterizes the convergence of the corresponding preset number of sets of material information, that is, the convergence of the proportions of the garment components in the preset number of sets.

[0090] Specifically, the specific calculation method for consistency calculation can be set by those skilled in the art according to the actual situation, and is not limited here. For example, for a spectrum-based material detection module, the sub-detection data is the spectrum of reflected light. In this case, the consistency of the spectrum of reflected light can be calculated by partial least squares regression or support vector machine for a preset number of times, but it is not limited to this.

[0091] S140. If the consistency of the preset number of sub-detection data is greater than a preset threshold, stop the detection and determine the detection data based on the preset number of sub-detection data.

[0092] In this embodiment of the disclosure, when the consistency of a preset number of sub-detection data is greater than a preset threshold, it indicates that the materials of the clothing in the clothing processing device are the same or similar. At this time, the detection data can be determined based on the preset number of sub-detection data, and there is no need to continue to detect the clothing. The material detection module can be controlled to stop detection.

[0093] In some embodiments, the target detection duration includes at least two detection cycles, with the first detection cycle being the first detection cycle and the other detection cycles being the second detection cycle. In this case, a preset number of sub-detection data obtained in the first detection cycle (i.e., the first detection cycle) can be determined as the detection data.

[0094] In other embodiments, the target detection duration includes at least two first detection cycles among the at least two detection cycles.

[0095] In one example, if the consistency of the preset number of detection data obtained in the first detection cycle is greater than the preset threshold, the detection can be stopped and the second first detection cycle can be stopped. In this case, the preset number of sub-detection data obtained in the first detection cycle will be determined as the detection data.

[0096] In another example, when the consistency of the preset number of detection data obtained in each first detection cycle is greater than a preset threshold, the detection can be stopped. Then, the preset number of sub-detection data obtained in any one of the at least two first detection cycles, the preset number of sub-detection data obtained in any two first detection cycles, the preset number of sub-detection data obtained in any multiple first detection cycles, or the preset number of sub-detection data obtained in all first detection cycles can be determined as detection data, without any limitation.

[0097] The material detection method of this disclosure can acquire target detection parameters, including a target detection duration, which includes at least a first detection cycle and a second detection cycle. It determines that the process is in the first detection cycle, controls the material detection module to perform a preset number of tests on the clothing in the clothing processing equipment, and obtains a preset number of sub-detection data. It calculates the consistency of the preset number of sub-detection data. If the consistency of the preset number of sub-detection data is greater than a preset threshold, the detection is stopped, and detection data is determined based on the preset number of sub-detection data. According to this disclosure, when the consistency of the preset number of sub-detection data is greater than a preset threshold, it indicates that the clothing materials in the clothing processing equipment are the same or similar, or that the clothing compositions are the same or similar. At this time, the detection can be stopped and detection data can be determined based on the preset number of sub-detection data, instead of continuing to detect the clothing until the target detection duration is reached as in the prior art. This shortens the detection time, improves detection efficiency, and avoids resource waste.

[0098] In some embodiments of this disclosure, the method further includes:

[0099] S150. If the consistency of the preset number of sub-detection data obtained in the first detection cycle is less than or equal to the preset threshold, proceed to the second detection cycle.

[0100] In this embodiment of the disclosure, when the consistency of the sub-detection data of a preset number of times is less than or equal to a preset threshold, it indicates that the clothing in the clothing processing device includes more than one material. In order to fully detect the clothing in the clothing processing device to obtain more accurate material information, the clothing can be continuously detected until the target detection time is reached.

[0101] In some embodiments, the target detection duration includes at least two detection cycles, with the first detection cycle being the first detection cycle and the other detection cycles being the second detection cycles. In this case, when the consistency of a preset number of sub-detection data obtained in the first detection cycle is determined to be less than or equal to a preset threshold, the process proceeds sequentially to each of the second detection cycles.

[0102] Specifically, within each second detection cycle, the control material detection module detects the clothing in the clothing processing equipment, obtaining detection data corresponding to each second detection cycle. For example, the control material detection module performs a preset number of detections on the clothing in the clothing processing equipment, obtaining a preset number of sub-detection data.

[0103] In other embodiments, the target detection duration includes at least two detection cycles, including at least two first detection cycles. In this case, in one example, when the consistency of a preset number of detection data obtained in the first first detection cycle is less than or equal to a preset threshold, subsequent first detection cycles can be entered sequentially, and then subsequent second detection cycles can be entered sequentially.

[0104] Specifically, in each subsequent first detection cycle, the consistency of the set number of sub-detection data obtained in each first detection cycle can be calculated again, or it can be stopped to reduce the amount of calculation. No limitation is made here.

[0105] S160. All sub-detection data obtained within the target detection time are determined as detection data.

[0106] Understandably, when the garments in the garment processing equipment contain more than one type of material, the actual testing time can be set to be longer. On the one hand, this avoids some garments not being detected; on the other hand, it allows for more accurate testing. Testing the same garment multiple times will affect the accuracy of the test. For example, if the test result is 20% cotton and 30% silk, the longer the testing time, the more accurate the percentage will be.

[0107] In yet another embodiment of this disclosure, the first detection cycle in the target detection duration is the first detection cycle.

[0108] Understandably, when the first detection cycle is the first detection cycle in the target detection time, it is possible to determine early whether the consistency of the preset number of detection data obtained in the first detection cycle is greater than the preset threshold, thereby determining early whether the material of the clothing in the garment processing equipment is the same or similar. In this way, if the material of the clothing in the garment processing equipment is the same or similar, the detection can be stopped, the detection time can be reduced, and the detection efficiency can be improved.

[0109] In another embodiment of this disclosure, the method further includes: S170, obtaining material information of the clothing based on the detection data.

[0110] For a detailed explanation of the test data, please refer to the previous text; it will not be repeated here.

[0111] Specifically, the material information may include information about the material of the clothing in the clothing processing equipment, including the clothing components, i.e., the material type and the proportion of each clothing component, but is not limited to this.

[0112] In some embodiments, S170 may include: the material detection device can analyze and calculate the detection data based on a preset detection algorithm to obtain the material information of the clothing. It should be noted that the preset detection algorithm can be set by those skilled in the art according to actual conditions, and is not limited here.

[0113] In one example, the preset detection algorithm could be to determine a set of material information based on each sub-detection data in the detection data to obtain multiple sets of material information; and to calculate the average of the proportions corresponding to each clothing component in the multiple sets of material information to obtain the final material information of the clothing. However, it is not limited to this. For example, when calculating the average of each clothing component, the maximum and minimum values ​​of the proportions corresponding to that clothing component can be removed before calculating the average.

[0114] For example, the test data includes five sub-test data points. For each sub-test data point, a set of material information is determined based on that sub-test data point. The five sets of material information are: cotton 20%, linen 80%; cotton 21%, linen 79%; cotton 21%, linen 79%; cotton 22%, linen 78%; cotton 19%, linen 81%. The average of the cotton percentages (20%, 21%, 22%, and 19%) is calculated to obtain cotton 20.6%; the average of the linen percentages (80%, 79%, 79%, 78%, and 81%) is calculated to obtain linen 79.4%. Therefore, the final material information of the clothing is: cotton 20%, linen 80%.

[0115] In other embodiments, S170 may include sending detection data to a cloud platform; wherein the cloud platform is used to determine material information based on the detection data; and receiving material information returned by the cloud platform.

[0116] Specifically, the material testing equipment can send the test data to the cloud platform, so that the cloud platform can analyze and calculate based on the test data, obtain the material information of the clothing, and return the material information to the material testing equipment.

[0117] Specifically, a cloud platform may include devices with storage and computing functions, such as cloud servers or server clusters, but is not limited to these.

[0118] For example, Figure 4 This is a schematic diagram of a garment processing system provided in an embodiment of this disclosure. See also... Figure 4The garment processing system may include a garment processing device 410, a material detection module 420, a terminal 440, and a cloud platform 430. The garment processing device 410 includes a material detection device. The garment processing device 410 and the terminal 440 can be connected via Bluetooth or a wireless network. The garment processing device 410 and the cloud platform 430 can be connected via a wireless network. The garment processing device 410 and the material detection module 420 can be connected via a Universal Asynchronous Receiver Transmitter (UART), but are not limited to these. The terminal 440 may have an APP client. When the APP client receives a detection start trigger operation, it can send a detection start command to the material detection device. At this time, the material detection device can control the material detection module 420 to detect the garments within the garment processing device. After the material detection device determines the detection data, it can upload the detection data to the cloud platform 430. Based on the detection data, the cloud platform 430 determines the material information of the garments and then feeds the material information back to the detection module 420. This enables non-contact detection of clothing materials and provides a basis for selecting more targeted washing parameters for the clothing processing equipment 410.

[0119] Understandably, transferring the function of analyzing and calculating the material information of clothing based on the test data to the cloud platform can reduce the computational load of the material testing equipment, lower the computational requirements of the material testing equipment, and help save costs.

[0120] Figure 5 This is a schematic flowchart illustrating another material testing method provided by an embodiment of this disclosure. This embodiment is an optimization based on the above embodiments, and can be combined with various optional solutions from one or more of the above embodiments.

[0121] like Figure 5 As shown, the material testing method may include the following steps.

[0122] S510: Control the clothing weighing module to weigh the clothing and obtain the clothing weight.

[0123] Specifically, the clothing weighing module can be any module capable of weighing clothing within the clothing processing equipment.

[0124] Specifically, clothing can be dry when being weighed, but it is not limited to this.

[0125] Specifically, after weighing the clothing, the clothing weighing module can feed back the weight of the clothing to the material testing equipment.

[0126] S520. Determine target detection parameters based on clothing weight.

[0127] In some embodiments, S520 may include: S521, determining the target detection parameter corresponding to the weight of the clothing based on the correlation between clothing weight and detection parameters.

[0128] Specifically, the material testing equipment can pre-store the correlation between clothing weight and testing parameters. The correlation between clothing weight and testing parameters can include curves, tables, or formulas, but is not limited to these.

[0129] Specifically, the relationship between stored clothing weight and detection parameters can include multiple preset clothing weights and their corresponding preset detection parameters, and the preset clothing weights and preset detection parameters can be positively correlated; or, the relationship between stored clothing weight and detection parameters can include multiple preset weight levels and their corresponding preset detection parameters, and the larger the clothing weight included in the preset weight level, the larger the corresponding preset detection parameter.

[0130] Optionally, S521 may include: finding the target weight level of the clothing from a plurality of preset weight levels; and determining the preset detection parameter corresponding to the target weight level as the target detection parameter.

[0131] Specifically, the number of preset weight levels and the range of clothing weights corresponding to each preset weight level can be set by those skilled in the art according to actual conditions, and are not limited here. For example, when the washing capacity of the clothing processing equipment is W kg (W is a positive number), two preset weight levels can be set, namely 0-W*10% kg (excluding W*10% kg) and W*10% kg-W kg (including W*10% kg), but are not limited to this.

[0132] Specifically, the specific values ​​of the preset detection parameters corresponding to each preset weight level can be set by those skilled in the art according to the actual situation, and are not limited here.

[0133] Understandably, by determining the target weight range to which the clothing belongs and setting the preset detection parameters corresponding to the target weight range as the target detection parameters, the determination of the target detection parameters can be made simple and easy to implement.

[0134] S530. Determine that it is in the first detection cycle, control the material detection module to perform a preset number of tests on the clothing in the clothing processing equipment, and obtain a preset number of sub-detection data.

[0135] Specifically, S530 is similar to S120, which will not be described in detail here.

[0136] S540, Calculate the consistency of the sub-detection data for a preset number of times.

[0137] Specifically, S540 is similar to S130, which will not be described in detail here.

[0138] S550. If the consistency of the sub-detection data for a preset number of times is greater than a preset threshold, stop the detection and determine the detection data based on the preset number of sub-detection data.

[0139] Specifically, the S550 is similar to the S140, which will not be described in detail here.

[0140] In this embodiment, the target detection parameters can be determined based on the weight of the clothing. This allows for setting a longer target detection time for heavier clothing (i.e., more clothing items), ensuring sufficient time for each garment to receive the detection light emitted by the material detection module and reflect it back. This enables the material detection module to perform thorough detection of the clothing, thereby improving detection accuracy.

[0141] In another embodiment of this disclosure, the target detection parameter further includes the target rotation speed of the clothing processing chamber in the clothing processing device; the method further includes: controlling the clothing processing chamber of the clothing processing device to rotate at the target rotation speed.

[0142] Specifically, the garment processing chamber may include, for example, a roller, but is not limited to this.

[0143] Specifically, regarding the rotation method of the garment processing chamber, the material detection equipment can control the garment processing chamber to rotate clockwise, counterclockwise, or alternately clockwise and counterclockwise, but is not limited to this.

[0144] Specifically, regarding the rotation speed of the garment processing chamber, the material testing equipment can use a pre-set rotation speed as the target rotation speed of the garment processing chamber, or determine the target rotation speed of the garment processing equipment based on the weight of the garment, but it is not limited to these.

[0145] For example, the rotation speed corresponding to 0-W*10% kg is n1, and the target detection time is t1; the rotation speed corresponding to W*10% kg-W kg is n2, and the target detection time is t2; where n1, n2, t1, and t2 are all positive numbers, and t1 is less than t2, and n1 is less than n2.

[0146] Understandably, the greater the weight of the clothing, the more clothing there may be. As the clothing rotates within the processing chamber, the position of each garment within the chamber constantly changes. By setting the target rotation speed to be greater and the target detection time to be longer, sufficient time can be ensured for the clothing within the processing chamber to continuously change positions. This allows each garment to receive the detection light emitted by the material detection module and reflect the reflected light back to the material detection module. In this way, the material detection module can perform thorough detection of the clothing, thereby improving detection accuracy.

[0147] Figure 6 This is a schematic diagram of the structure of a material testing device provided in an embodiment of this disclosure.

[0148] In some embodiments of this disclosure, Figure 6 The device shown can be used as a material detection device in washing machines, dryers, washer-dryer combos, garment care machines or other types of garment processing equipment. The material detection device can be, for example, a controller in the garment processing equipment, but is not limited thereto.

[0149] like Figure 6 As shown, the material detection device may include:

[0150] The first acquisition module 610 is used to acquire target detection parameters, wherein the target detection parameters include target detection duration, and the target detection duration includes at least a first detection cycle and a second detection cycle.

[0151] The first determining module 620 is used to determine that it is in the first detection cycle, and control the material detection module to perform a preset number of detections on the clothing in the clothing processing equipment to obtain a preset number of sub-detection data.

[0152] The first calculation module 630 is used to calculate the consistency of a preset number of sub-detection data;

[0153] The second determining module 640 is used to determine that the consistency of a preset number of sub-detection data is greater than a preset threshold, stop detection, and determine detection data based on the preset number of sub-detection data.

[0154] The material detection device of this disclosure can acquire target detection parameters, including a target detection duration, which includes at least a first detection cycle and a second detection cycle. It determines that it is in the first detection cycle, controls the material detection module to perform a preset number of tests on the clothing in the clothing processing equipment, and obtains a preset number of sub-detection data. It calculates the consistency of the preset number of sub-detection data. If the consistency of the preset number of sub-detection data is greater than a preset threshold, it stops the detection and determines the detection data based on the preset number of sub-detection data. According to this disclosure, when the consistency of the preset number of sub-detection data is greater than a preset threshold, it indicates that the clothing materials in the clothing processing equipment are the same or similar, or that the clothing compositions are the same or similar. At this time, the detection can be stopped and the detection data can be determined based on the preset number of sub-detection data, instead of continuing to detect the clothing until the target detection duration is reached as in the prior art. This shortens the detection time, improves detection efficiency, and avoids resource waste.

[0155] In some embodiments of this disclosure, the apparatus may further include:

[0156] The third determining module is used to determine that the consistency of the preset number of sub-detection data obtained in the first detection cycle is less than or equal to a preset threshold, and then proceed to the second detection cycle.

[0157] The fourth determination module is used to determine all sub-detection data obtained within the target detection time as detection data.

[0158] In yet another embodiment of this disclosure, the apparatus may further include:

[0159] The fifth determination module is used to determine the material information of the clothing based on the detection data.

[0160] In another embodiment of this disclosure, the first detection cycle in the target detection duration is the first detection cycle.

[0161] In another embodiment of this disclosure, the consistency of a preset number of sub-detection data is used to characterize the degree of convergence of the preset number of sub-detection data.

[0162] In another embodiment of this disclosure, the device further includes:

[0163] The weighing module is used to control the clothing weighing module to weigh the clothing before acquiring the target detection parameters, so as to obtain the weight of the clothing;

[0164] The first acquisition module 610 includes a first acquisition submodule, which is used to determine target detection parameters based on the weight of clothing.

[0165] In another embodiment of this disclosure, the first acquisition submodule may include:

[0166] The search unit is used to find the target weight range of the clothing from multiple preset weight ranges;

[0167] The determining unit is used to determine the preset detection parameters corresponding to the target weight level as the target detection parameters.

[0168] In another embodiment of this disclosure, the target detection parameters further include the target rotation speed of the clothing processing chamber in the clothing processing device;

[0169] The device also includes a control module for controlling the garment processing chamber of the garment processing equipment to rotate at a target rotational speed.

[0170] In another embodiment of this disclosure, the fifth determining module may include:

[0171] The sending submodule is used to send the detection data to the cloud platform; the cloud platform is used to determine the material information based on the detection data.

[0172] The receiving submodule is used to receive material information returned by the cloud platform.

[0173] It should be noted that, Figure 6 The material detection device 600 shown can perform each step in any of the above method embodiments and achieve each process and effect in any of the above method embodiments, which will not be elaborated here.

[0174] Figure 7 This is a schematic diagram of the structure of a material testing device provided in an embodiment of this disclosure. Figure 7 As shown, the material detection device may include a processor 701 and a memory 702 storing computer program instructions.

[0175] Specifically, the processor 701 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0176] Memory 702 may include a large-capacity storage for information or instructions. For example, and not limitingly, memory 702 may include a hard disk drive (HDD), a floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 702 may include removable or non-removable (or fixed) media. Where appropriate, memory 702 may be internal or external to the integrated gateway device. In a particular embodiment, memory 702 is a non-volatile solid-state memory. In a particular embodiment, memory 702 includes read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (Electrically Programmable ROM, EPROM), an electrically erasable programmable PROM (EEPROM), an electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0177] The processor 701 can perform the steps in any of the above method embodiments by reading and executing the computer program instructions stored in the memory 702.

[0178] In one example, the material detection device may also include a transceiver 703 and a bus 704. Wherein, as... Figure 7 As shown, the processor 701, memory 702 and transceiver 703 are connected via bus 704 and communicate with each other.

[0179] Bus 704 includes hardware, software, or both. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, bus 704 may include one or more buses. Although specific buses are described and illustrated in the embodiments of this application, this application considers any suitable bus or interconnection.

[0180] This disclosure also provides a computer-readable storage medium that can store a computer program. When the computer program is executed by a processor, the processor implements the material detection method provided in this disclosure.

[0181] The aforementioned storage medium may, for example, include a memory 702 containing computer program instructions, which can be executed by the processor 701 of the material testing device to complete the material testing method provided in this embodiment. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), compact disc-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device.

[0182] This disclosure also provides a garment processing device, including at least one of the following:

[0183] The material testing device described in the above embodiments;

[0184] The material testing equipment described in the above embodiments;

[0185] The computer-readable storage medium described in the above embodiments.

[0186] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0187] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A material detection method, characterized by, include: Obtain target detection parameters, wherein the target detection parameters include target detection duration, and the target detection duration includes at least a first detection cycle and a second detection cycle; Once it is determined that the first detection cycle is in progress, the material detection module is controlled to perform a preset number of detections on the clothing in the clothing processing equipment to obtain a preset number of sub-detection data; wherein, one sub-detection data is used to determine a set of material information; Calculate the consistency of the preset number of sub-detection data; the consistency of the preset number of sub-detection data is used to characterize the degree of convergence of the preset number of sub-detection data. If the consistency of the preset number of sub-detection data is greater than a preset threshold, the detection is stopped, and the detection data is determined based on the preset number of sub-detection data. The method further includes: If the consistency of the preset number of sub-detection data obtained in the first detection cycle is less than or equal to the preset threshold, then proceed to the second detection cycle. The method further includes determining the material information of the clothing based on the detection data, and identifying all sub-detection data obtained within the target detection time as detection data.

2. The method of claim 1, wherein, The first detection cycle in the target detection duration is the first detection cycle.

3. The method of claim 1, wherein, Before obtaining the target detection parameters, the method further includes: The clothing weighing module is controlled to weigh the clothing to obtain the weight of the clothing; The acquisition of target detection parameters includes: The target detection parameters are determined based on the weight of the clothing.

4. The method of claim 3, wherein, The determination of the target detection parameters based on the weight of the clothing includes: From multiple preset weight ranges, find the target weight range to which the weight of the clothing belongs; The preset detection parameters corresponding to the target weight level are determined as the target detection parameters.

5. The method according to claim 3, characterized in that, The target detection parameters also include the target rotation speed of the clothing processing chamber in the clothing processing device; The method further includes controlling the garment processing chamber of the garment processing device to rotate at the target rotational speed.

6. The method of claim 1, wherein, Determining the material information of the clothing based on the detection data includes: The detection data is sent to the cloud platform; wherein the cloud platform is used to determine the material information based on the detection data; Receive the material information returned by the cloud platform.

7. A material detecting device characterized by comprising: include: The first acquisition module is used to acquire target detection parameters, wherein the target detection parameters include target detection duration, and the target detection duration includes at least a first detection cycle and a second detection cycle; The first determining module is used to determine that the first detection cycle is in progress, and controls the material detection module to perform a preset number of detections on the clothing in the clothing processing equipment to obtain a preset number of sub-detection data; wherein, one sub-detection data is used to determine a set of material information; The first calculation module is used to calculate the consistency of the preset number of sub-detection data; the consistency of the preset number of sub-detection data is used to characterize the degree of convergence of the preset number of sub-detection data. The second determining module is used to determine that the consistency of the preset number of sub-detection data is greater than a preset threshold, stop the detection, and determine the detection data based on the preset number of sub-detection data; The third determining module is used to determine that the consistency of a preset number of sub-detection data obtained in the first detection cycle is less than or equal to the preset threshold, and then proceed to the second detection cycle. The fourth determining module is used to determine all sub-detection data obtained within the target detection time as detection data; The fifth determining module is used to determine the material information of the clothing based on the detection data.

8. A material inspection apparatus characterized by comprising: include: processor; Memory, used to store executable instructions; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the material detection method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, causes the processor to implement the material detection method according to any one of claims 1-6. 10.A laundry treating apparatus, characterized by, include: At least one of the following: The material testing device as described in claim 7 above; The material testing equipment as described in claim 8 above; The computer-readable storage medium as described in claim 9.

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