阅读说明：本技术 衣物材质识别装置、洗衣机控制方法及洗衣机 (Clothes material identification device, washing machine control method and washing machine ) 是由 才智 高秋英 于 2020-05-15 设计创作，主要内容包括：本发明公开了一种衣物材质识别装置、洗衣机控制方法及洗衣机,该控制方法包括：获取内筒中的衣物信息；根据衣物信息确定第一面料信息,第一面料信息包括面料密度；和/或,获取进水过程中的视频图像,对视频图像进行解析,根据解析结果确定第二面料信息,第二面料信息包括面料吸湿性；将第一面料信息和/或第二面料信息与预存面料数据进行比对确定衣物材质；根据衣物材质和/或衣物信息确定洗涤参数,以洗涤参数执行洗衣程序。本发明提出的控制方法,通过图像识别技术获取面料吸湿性,结合面料吸湿性识别衣物材质,并根据衣物材质设置洗涤参数,有利于改善洗涤效果,减轻洗涤对衣物的磨损。(The invention discloses a clothes material identification device, a washing machine control method and a washing machine, wherein the control method comprises the following steps: acquiring information of clothes in an inner drum; determining first fabric information according to the clothes information, wherein the first fabric information comprises fabric density; and/or acquiring a video image in the water inlet process, analyzing the video image, and determining second fabric information according to an analysis result, wherein the second fabric information comprises fabric moisture absorption; comparing the first fabric information and/or the second fabric information with pre-stored fabric data to determine the material quality of the clothes; and determining washing parameters according to the clothes material and/or the clothes information, and executing the washing program according to the washing parameters. According to the control method provided by the invention, the moisture absorption of the fabric is obtained through an image recognition technology, the material of the clothes is recognized by combining the moisture absorption of the fabric, and the washing parameters are set according to the material of the clothes, so that the washing effect is favorably improved, and the wear of the clothes caused by washing is reduced.)

1. A washing machine control method based on clothes material identification is characterized by comprising the following steps:

after the clothes are put in, acquiring the information of the clothes in the inner drum of the washing machine;

determining first fabric information of the clothes to be washed according to the clothes information, wherein the first fabric information comprises fabric density;

and/or acquiring a video image in the water inlet process, analyzing the video image, and determining second fabric information of the clothes to be washed according to the analysis result, wherein the second fabric information comprises fabric moisture absorption;

comparing the first fabric information and/or the second fabric information with pre-stored fabric data, and determining the material of the clothes according to the comparison result;

and determining washing parameters according to the clothes material and/or the clothes information, and executing a washing program according to the washing parameters.

2. The washing machine control method based on clothes material identification as claimed in claim 1, wherein the step of obtaining the video image in the water inlet process, analyzing the video image, and determining the second fabric information of the clothes to be washed according to the analysis result, wherein the second fabric information comprises fabric moisture absorption, comprises the following steps:

acquiring an n-k frame image, an n frame image and an n + k frame image in the video image according to a time sequence, and performing gray processing, wherein n is an integer greater than or equal to 2, k is an integer greater than or equal to 1, and n is greater than k;

carrying out differential processing on the n-th frame of gray-scale image and the n-k-th frame of gray-scale image to obtain a first differential image, and carrying out differential processing on the n + k-th frame of gray-scale image and the n-k-th frame of gray-scale image to obtain a second differential image;

acquiring a first water stain characteristic region of the first differential image and a second water stain characteristic region of the second differential image;

determining a first water stain area according to the first water stain characteristic area, and determining a second water stain area according to the second water stain characteristic area;

acquiring frame interval time;

and determining the change rate of the water stain area of the surface of the clothes according to the first water stain area, the second water stain area and the frame interval time.

3. The washing machine control method based on clothes material identification as claimed in claim 2, wherein the video image in the water inlet process is obtained, the video image is analyzed, second fabric information of clothes to be washed is determined according to the analysis result, the second fabric information includes fabric moisture absorption, and the method further comprises the following steps:

determining preset change rate intervals of M water stain areas according to the M types of second fabric information;

and comparing the change rate of the water stain area with the M preset change rate intervals, and determining second fabric information of the clothes to be washed according to the comparison result.

4. The washing machine control method based on the clothes material identification as claimed in claim 1, wherein the determining the first fabric information of the clothes to be washed according to the clothes information, the first fabric information including fabric density, comprises the following steps:

acquiring a light weight threshold value and a heavy weight threshold value;

calculating the ratio of the weight of the clothes to the height of the clothes, and acquiring the product of the ratio and the preset height;

if the product of the ratio and the preset height is larger than a heavy weight threshold value, judging that the first fabric information of the clothes to be washed is a heavy fabric;

if the product of the ratio and the preset height is smaller than the light and thin weight threshold value, judging that the first fabric information of the clothes to be washed is light and thin fabric;

and if the product of the ratio and the preset height is greater than or equal to the light weight threshold value and less than or equal to the heavy weight threshold value, judging that the first fabric information of the clothes to be washed is the fabric with the common thickness.

5. The laundry machine control method based on the laundry material identification according to any one of claims 1-4, further comprising the steps of:

establishing communication connection between the washing machine and the terminal equipment;

sending the video image to the terminal equipment;

the method comprises the steps that clothes material identification is carried out on the terminal equipment, and a terminal clothes material identification result is sent to the washing machine;

and determining washing parameters according to the terminal clothes material identification result and the clothes information, and executing a washing program according to the washing parameters.

6. The washing machine control method based on clothes material identification as claimed in any one of claims 1-4, wherein the video image during water inlet process is obtained, the video image is analyzed, second fabric information of clothes to be washed is determined according to the analysis result, the second fabric information includes fabric hygroscopicity, and the method further comprises the following steps:

controlling the inner barrel of the washing machine to rotate at a preset rotating speed, controlling the inner barrel to stop rotating after a first preset time, and controlling the water inlet valve to feed water at a preset spraying speed;

controlling the water inlet valve to be closed after a second preset time to obtain a video image in the water inlet process, wherein the second preset time is less than the first preset time;

judging whether a water stain characteristic area can be identified in the video image;

if the water stain characteristic area cannot be identified, the step of controlling the inner barrel of the washing machine to rotate at the preset rotating speed, controlling the inner barrel to stop rotating after the first preset time and controlling the water inlet valve to feed water at the preset spraying speed is executed again.

7. A clothes material recognition device is characterized by comprising: the device comprises a video image acquisition unit, a video image processing unit, a clothes detection unit and a control module, wherein the clothes detection unit is used for acquiring the information of clothes in the inner drum of the washing machine after the clothes are put in; the video image acquisition unit is used for acquiring a video image in the water inlet process; the video image processing unit is used for analyzing the video image;

the control module is provided with a comparison analysis unit, the comparison analysis unit is used for determining first fabric information of the clothes to be washed according to the height of the clothes and the weight of the clothes, and the first fabric information comprises fabric density;

and/or the comparison analysis unit is used for determining second fabric information of the clothes to be washed according to the analysis result of the video image processing unit, wherein the second fabric information comprises fabric moisture absorption;

the comparison analysis unit is also used for comparing the first fabric information and/or the second fabric information with pre-stored fabric data and determining the material quality of the clothes according to the comparison result;

the control module is also used for determining washing parameters according to the clothes material and the clothes information and controlling the washing machine to execute a washing program according to the washing parameters.

8. The clothing material quality recognition device of claim 7, wherein the control module is further provided with a storage unit, and the storage unit is used for storing pre-stored fabric data, a light weight threshold, a heavy weight threshold and M preset change rate intervals of water stain areas.

9. The clothing material recognition device of claim 7, further comprising: and the communication unit is used for establishing communication connection between the clothes material identification device and the terminal equipment.

10. A washing machine comprising the clothing material recognition apparatus according to claims 7 to 9.

Technical Field

The embodiment of the invention relates to the technical field of washing machine control, in particular to a clothes material identification device, a washing machine control method and a washing machine.

Background

With the improvement of the requirements of people on the living quality, the washing machine gradually changes from the initial pure washing to a household washing and protecting center, and the intelligent washing and protecting of clothes are realized by utilizing an intelligent identification technology, so that the development trend of the washing machine is formed.

Because the clothes washed by the user are different in material, even each piece of clothes is made of different materials, such as cotton, hemp, silk, wool (woolen cloth), leather, down feather, jeans, chemical fibers, blended fabrics and the like, the washing parameters needed for washing different clothes materials, such as the information of detergent addition amount, washing mode, washing time, rinsing times and the like are different, the requirements of each clothes material on washing are not fully considered in the existing washing machine, the technical means for accurately identifying the clothes materials is lacked in the prior art, the user needs to manually select the washing mode, and under the condition, the set washing parameters are inaccurate, the problems of over-washing or incomplete-washing are easily caused, the clothes are abraded due to over-washing, and the washing effect is influenced.

Disclosure of Invention

The invention provides a washing machine control method based on clothes material identification, which solves the problem that the clothes material cannot be accurately identified, and can adjust washing parameters according to the clothes material to improve the washing effect.

In a first aspect, an embodiment of the present invention provides a washing machine control method based on clothes material identification, including the following steps:

after the clothes are put in, acquiring the information of the clothes in the inner drum of the washing machine;

determining first fabric information of the clothes to be washed according to the clothes information, wherein the first fabric information comprises fabric density;

and/or acquiring a video image in the water inlet process, analyzing the video image, and determining second fabric information of the clothes to be washed according to an analysis result, wherein the second fabric information comprises fabric moisture absorption;

comparing the first fabric information and/or the second fabric information with pre-stored fabric data, and determining the material quality of the clothes according to the comparison result, wherein the pre-stored fabric data comprises pre-stored first fabric information, pre-stored second fabric information and pre-stored clothes material;

and determining washing parameters according to the clothes material and the clothes information, and executing a washing program according to the washing parameters.

In a second aspect, an embodiment of the present invention further provides a device for identifying a material of a garment, including: the device comprises a video image acquisition unit, a video image processing unit, a clothes detection unit and a control module, wherein the clothes detection unit is used for acquiring the information of clothes in the inner drum of the washing machine after the clothes are put in; the video image acquisition unit is used for acquiring a video image in the water inlet process; the video image processing unit is used for analyzing the video image to obtain the change rate of the water stain area on the surface of the clothes; the control module is provided with a comparison analysis unit, the comparison analysis unit is used for determining first fabric information of the clothes to be washed according to the clothes information, and the first fabric information comprises fabric density; and/or the comparison analysis unit is used for determining second fabric information of the clothes to be washed according to the change rate of the water stain area, wherein the second fabric information comprises the moisture absorption of the fabric; the comparison analysis unit is also used for comparing the first fabric information and/or the second fabric information with pre-stored fabric data, and determining the material quality of the clothes according to the comparison result, wherein the pre-stored fabric data comprises pre-stored first fabric information, pre-stored second fabric information and pre-stored clothes material quality; the control module is also used for determining washing parameters according to the clothes material and the clothes information and controlling the washing machine to execute a washing program according to the washing parameters.

In a third aspect, an embodiment of the present invention further provides a washing machine, including the above-mentioned clothes material identification device.

According to the washing machine provided by the embodiment of the invention, the washing machine is provided with the clothes material identification device, and by adopting the washing machine control method based on clothes material identification, the control method obtains the moisture absorption of the fabric through an image identification technology, identifies the clothes material by combining the moisture absorption of the fabric and the fabric density, and sets the washing parameters according to the clothes material, so that the problem that the clothes material cannot be accurately identified is solved, the washing effect is favorably improved, the abrasion of the clothes caused by washing is reduced, and the user experience is improved.

Drawings

FIG. 1 is a flowchart of a washing machine control method based on clothes material identification according to an embodiment of the present invention;

FIG. 2 is a flow chart of another method for controlling a washing machine based on clothes material identification according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating a method for controlling a washing machine based on clothes texture recognition according to another embodiment of the present invention;

FIG. 4 is a flowchart illustrating a method for controlling a washing machine based on clothes texture recognition according to another embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a clothing material identification device according to an embodiment of the present invention;

fig. 6 is a schematic structural view of a washing machine according to an embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

The embodiment of the invention provides a washing machine control method based on clothes material identification.

Fig. 1 is a flowchart of a washing machine control method based on clothes material identification according to an embodiment of the present invention. As shown in fig. 1, the washing machine control method includes the steps of:

step S101: and acquiring the information of the clothes in the inner drum of the washing machine after the clothes are put in.

After the clothes are put in, the inner drum of the washing machine can be controlled to rotate at a preset rotating speed to stir the clothes to be washed in the inner drum of the washing machine, the information of the clothes comprises the height of the clothes and the weight of the clothes, the height of the clothes is the distance from the highest point of all the clothes to the bottom surface of the inner drum of the washing machine after the clothes in the inner drum of the washing machine are stirred, and the weight of the clothes is the total weight of all the clothes in the inner drum of the washing machine before water enters the washing machine.

For example, a height detecting unit disposed at the inner tub of the washing machine, typically a distance sensor, may be used to detect the height of the laundry put into the inner tub of the washing machine, and a weighing unit disposed at the bottom of the inner tub of the washing machine may be used to detect the weight of the laundry put into the inner tub of the washing machine.

For example, the image data in the inner drum of the washing machine can be acquired by adopting the image acquisition unit, and the comparison analysis unit of the control module compares the image data with the prestored image to acquire the height of the clothes to be washed in the inner drum of the washing machine.

Step S102: and determining first fabric information of the clothes to be washed according to the clothes information, wherein the first fabric information comprises fabric density.

The fabric information comprises fabric density, hygroscopicity, wear resistance, heat resistance, air permeability and wrinkle resistance.

In this embodiment, the first fabric information is defined to include fabric density, and the first fabric information of the fabric of the garment is divided into a light and thin fabric, a normal thickness fabric and a heavy fabric according to the fabric density level. Therefore, the fabric density is determined according to the height of the clothes and the weight of the clothes, and the first fabric information of the fabric of the clothes can be preliminarily determined by comparing the fabric density with the pre-stored data.

Step S103: and acquiring a video image in the water inlet process, analyzing the video image, and determining second fabric information of the clothes to be washed according to an analysis result, wherein the second fabric information comprises fabric moisture absorption.

The washing machine comprises a washing machine inner barrel, a video image acquisition unit, a camera and a control unit, wherein the video image acquisition unit can be arranged above the washing machine inner barrel, typically, the video image acquisition unit can be the camera, and an image acquisition part of the video image acquisition unit faces to clothes to be washed. When the material of the clothes is identified, the inner barrel of the washing machine is controlled to stop rotating, the video image acquisition unit is controlled to be opened, the water inlet valve is controlled to feed water at a preset spraying speed, the preset spraying speed is lower than the water inlet speed of the washing water under a washing program, the phenomenon that the shape of the clothes in the inner barrel of the washing machine is changed due to overlarge water flow is avoided, and the water stain characteristic area can be obtained through an image identification technology.

In this embodiment, after the laundry absorbs water, water stain is generated, and in the video image, the RGB values of the water stain feature area are significantly changed compared with the RGB values of the same area in the non-water-absorbing state.

Specifically, the video image processing unit may be used to collect consecutive multi-frame images in the video image according to a time sequence, and perform a graying process on the consecutive multi-frame images. Further, the pixel feature block of each frame of the grayed image can be divided, and the water stain feature area in each frame of the grayed image can be identified based on the RGB value. Furthermore, water stain characteristic regions in any two frames of gray images can be obtained, the difference value of the areas of the water stain characteristic regions in the two frames of gray images is calculated, and the change rate of the water stain area on the surface of the clothes is calculated according to the difference value of the areas of the water stain characteristic regions and the interval time of the two frames of images.

In this embodiment, the second fabric information may be defined to include the moisture absorption of the fabric, and when water is applied to different types of clothes to be washed, the change rate of the water stain area is different, and the greater the change rate of the water stain area is, the better the moisture absorption of the fabric is. For example, the second fabric information of the garment can be divided into the fabric easy to absorb water, the fabric difficult to absorb water and the common water-absorbing fabric according to the moisture absorption of the fabric, and the second fabric information of the garment can be preliminarily determined by comparing the change rate of the water stain area with the preset data.

Step S104: and comparing the first fabric information and/or the second fabric information with pre-stored fabric data, and determining the material of the clothes according to the comparison result.

The fabric pre-storing data comprises pre-storing fabric materials, pre-storing first fabric information and/or pre-storing second fabric information, and each pre-storing fabric material and one first fabric information can be defined to be in one-to-one correspondence, or each pre-storing fabric material and one second fabric information are in one-to-one correspondence, or each pre-storing fabric material and combined data of a group of first fabric information and second fabric information are in one-to-one correspondence.

Illustratively, as shown in table 1, each pre-stored clothing material is defined to correspond to a set of combined data of the first material information and the second material information one to one.

TABLE 1

With reference to table 1, the first fabric information obtained in step S102 and the second fabric information obtained in step S105 may be compared with the pre-stored fabric data, and the material quality of the clothing may be determined according to the comparison result.

For example, it may also be defined that each pre-stored fabric material corresponds to the combination data of a group of first fabric information or a group of second fabric information one to one, the first fabric information obtained in step S102 or the second fabric information obtained in step S105 is compared with the pre-stored fabric data, and the fabric material is determined according to the comparison result, which is not limited herein.

Step S105: and determining washing parameters according to the clothes material and/or the clothes information, and executing the washing program according to the washing parameters.

Wherein the washing parameters include washing parameters including a detergent type, a detergent addition amount, a washing pattern, a washing time, and a rinsing number. The laundry information may include laundry weight.

Specifically, the comparison analysis unit may be used to compare the clothes material and the clothes weight of the clothes to be washed with the pre-stored data, and determine the washing mode, the washing time, the rinsing frequency and the detergent addition amount according to the comparison result, for example, the washing mode may include a cotton and linen washing mode, a down washing mode, a silk washing mode, a knitted sweater washing mode, etc.; wash times include 30 minutes, 40 minutes, 50 minutes, 60 minutes, etc.; the rinsing times can be 1 time, 2 times, 3 times and the like, so that the washing machine is controlled to automatically execute the washing program according to the washing parameters determined by the comparison result.

It should be noted that, if the material of the clothes cannot be obtained within the preset determination time, the washing machine is controlled to execute the washing program according to the preset washing parameters.

Therefore, according to the washing machine control method based on clothes material identification provided by the embodiment of the invention, the fabric hygroscopicity is obtained through the image identification technology, the clothes material is identified by combining the fabric hygroscopicity and the fabric density, and the washing parameters are set according to the clothes material, so that the problem that the clothes material cannot be accurately identified is solved, the washing effect is favorably improved, the wear of the clothes due to washing is reduced, and the user experience is improved.

Fig. 2 is a flowchart of another washing machine control method based on clothes material identification according to an embodiment of the present invention. As shown in fig. 2, the method comprises the steps of obtaining a video image in the water inlet process, analyzing the video image, determining second fabric information of the clothes to be washed according to the analysis result, wherein the second fabric information comprises fabric moisture absorption, and the method comprises the following steps:

step S201: acquiring an n-k frame image, an n frame image and an n + k frame image in a video image according to a time sequence, and carrying out gray processing, wherein n is an integer greater than or equal to 2, k is an integer greater than or equal to 1, and n is greater than k.

Illustratively, a video image processing unit is adopted to sequentially acquire an n-k frame image, an n frame image and an n + k frame image in a video image, and the n-k frame image, the n frame image and the n + k frame image are subjected to graying processing, wherein each pixel point in each grayed image corresponds to one gray value.

Step S202: and carrying out differential processing on the n-th frame gray image and the n-k frame gray image to obtain a first differential image, and carrying out differential processing on the n + k frame gray image and the n-k frame gray image to obtain a second differential image.

In this embodiment, the n-k frame grayscale image may be used as a background image, the pixel feature block of each frame grayscale image is divided, and the pixel feature block in the n-k frame grayscale image and the pixel feature block in the n + k frame grayscale image are respectively subjected to difference processing with the pixel feature block in the n-k frame grayscale image, so as to obtain a first difference image corresponding to the n-k frame grayscale image and a second difference image corresponding to the n + k frame grayscale image, which may improve the uniformity of image processing and avoid the influence of the clothing form change on the image recognition accuracy during the water intake process.

Step S203: and acquiring a first water stain characteristic region of the first differential image and a second water stain characteristic region of the second differential image.

Specifically, image segmentation, noise point removal and blank filling processing are carried out on the first difference image and the second difference image, and a first water stain characteristic region in the first difference image and a second water stain characteristic region in the second difference image are identified based on RGB value difference.

Step S204: and determining a first water stain area according to the first water stain characteristic area S1, and determining a second water stain area according to the second water stain characteristic area S2.

Specifically, it may be defined that the reference area of the background image of each frame of the grayscale image is the same, for example, the reference area may be equal to the cross-sectional area in the horizontal direction of the inner drum of the washing machine, a first ratio of the first water stain feature region in the nth frame of the grayscale image and a second ratio of the second water stain feature region in the (n + k) th frame of the grayscale image are obtained through image segmentation, the product of the first ratio and the reference area is calculated to obtain a first water stain area S1, and the product of the second ratio and the reference area is calculated to obtain a second water stain area S2.

Step S205: the frame interval time t is acquired.

The frame interval time t may be an interval time between the acquisition of adjacent frame images.

Step S206: determining a rate of change of the water spot area of the laundry surface according to the first water spot area S1, the second water spot area S2, and the frame interval time t.

Specifically, the interval time between the nth frame image and the n + kth frame image is k × t, the first water spot area S1, the second water spot area S2, and the interval time k × t between the nth frame image and the n + kth frame image are substituted into the following formula one to calculate the change rate Δ of the water spot area,

and k is the preset interval frame number, and the value of k can be adjusted according to actual needs.

Optionally, the obtaining the video image in the water inflow process includes the following steps: controlling the inner barrel of the washing machine to rotate at a preset rotating speed, controlling the inner barrel to stop rotating after a first preset time, and controlling the water inlet valve to feed water at a preset spraying speed; controlling the water inlet valve to be closed after a second preset time to obtain a video image in the water inlet process, wherein the second preset time is less than the first preset time; judging whether a water stain characteristic area can be identified in the video image; and if the water stain characteristic region cannot be identified in the video image, controlling the inner barrel of the washing machine to rotate at the preset rotating speed again, controlling the inner barrel to stop rotating after the first preset time, controlling the water inlet valve to feed water at the preset spraying speed until the water stain characteristic region is identified in the video image, and continuing to execute the step S104.

Specifically, when the material of the laundry is identified, the inner tub of the washing machine is first controlled to rotate at a preset rotation speed, the laundry to be washed in the inner tub of the washing machine is stirred, and the inner tub of the washing machine is controlled to stop rotating after a first preset time, for example, the first preset time may be 3 minutes. After the inner cylinder stops rotating, the video image acquisition unit is controlled to be opened, the water inlet valve is controlled to feed water at a preset spraying speed, the water inlet valve is controlled to be closed after a second preset time, for example, the second preset time can be 3 seconds, and the video image acquisition unit is controlled to acquire and stop acquiring video images, so that the video image acquisition unit is adopted to acquire the video images in the water inlet process, namely the time period from the opening of the water inlet valve to the closing of the water inlet valve.

Further, a video image processing unit can be adopted to collect continuous multi-frame images in the video images according to the time sequence, perform graying processing on the continuous multi-frame images, and judge whether the water stain characteristic area can be identified in the continuous multi-frame images. And if the water stain characteristic area cannot be identified in the video image, performing stirring and water inflow for the second time according to the steps, acquiring the video image in the water inflow process for the second time, analyzing the video image in the water inflow process for the second time, judging whether the water stain characteristic area can be identified in continuous multi-frame images, and if the water stain characteristic area is identified in the video image, continuing to perform the step S104.

If the water stain characteristic region cannot be identified in the three consecutive video images, the washing machine is controlled to execute the washing program according to the conventional washing parameters.

Fig. 3 is a flowchart of a washing machine control method based on clothes material identification according to another embodiment of the present invention. The embodiment is suitable for application scenes of acquiring the fabric density according to the height and the weight of clothes. As shown in fig. 3, determining first fabric information of the laundry to be washed according to the laundry information, the first fabric information including fabric density, includes the steps of:

step S301: and acquiring a light weight threshold value and a heavy weight threshold value.

Specifically, the weight of a typical light and thin fabric (e.g., silk, chemical fiber) at a preset height may be defined as a light and thin weight threshold, and the weight of a typical heavy and thin fabric (e.g., down, woolen) at a preset height may be defined as a heavy and thin weight threshold.

Step S302: and calculating the ratio of the weight of the clothes to the height of the clothes, and obtaining the product of the ratio and the preset height.

In the present embodiment, the laundry information includes a laundry height and a laundry weight.

Specifically, after the clothes are put in, the clothes in the inner drum of the washing machine are stirred, the height detection unit is adopted to detect the distance from the highest point of the clothes in the inner drum of the washing machine to the bottom surface of the inner drum of the washing machine, the detection result is used as the height of the clothes, the weighing unit is adopted to weigh the total weight of all the clothes in the inner drum of the washing machine before the water inlet program is executed, the weighing result is used as the weight of the clothes, the ratio of the weight of the clothes to the height of the clothes is calculated, and the product of the ratio and the preset height is calculated.

Step S303: and if the product of the ratio and the preset height is greater than the heavy weight threshold value, judging that the first fabric information of the clothes to be washed is the heavy fabric.

Step S304: and if the product of the ratio and the preset height is smaller than the light and thin weight threshold value, judging that the first fabric information of the clothes to be washed is the light and thin fabric.

Step S305: and if the product of the ratio and the preset height is greater than or equal to the light weight threshold value and less than or equal to the heavy weight threshold value, judging that the first fabric information of the clothes to be washed is the fabric with the common thickness.

Specifically, the product of the ratio of the weight of the laundry to the height of the laundry and the preset height is used to characterize the weight of the laundry at the preset height in the drum of the washing machine. If the weight of the clothes with the preset height in the inner drum of the washing machine is greater than the heavy weight threshold value, judging that the first fabric information of the clothes to be washed is heavy fabric; if the weight of the clothes with the preset height in the inner drum of the washing machine is smaller than the light and thin weight threshold value, judging that the first fabric information of the clothes to be washed is light and thin fabric; if the weight of the clothes with the preset height in the inner drum of the washing machine is greater than or equal to the light and thin weight threshold value and less than or equal to the thick weight threshold value, the first fabric information of the clothes to be washed is judged to be the fabric with the common thickness.

Fig. 4 is a flowchart of a washing machine control method based on clothes material identification according to another embodiment of the present invention. As shown in fig. 4, after step S206 is performed, second fabric information of the laundry is determined according to the change rate of the water stain area, the second fabric information including the moisture absorption of the fabric, including the steps of: step S401: and determining preset change rate intervals of the M water stain areas based on the M kinds of second fabric information.

For example, M may be defined to be equal to 3, the second fabric information of the garment is divided into 3 types of the water-absorbable fabric, the water-non-absorbable fabric and the common water-absorbable fabric according to the moisture absorption of the fabric, and each type of the second fabric information corresponds to the preset change rate of the water stain area in a one-to-one manner, for example, the water-absorbable fabric corresponds to a first preset change rate interval, the common water-absorbable fabric corresponds to a second preset change rate interval, and the water-non-absorbable fabric corresponds to a third preset change rate interval.

Step S402: and comparing the change rate of the water stain area with the M preset change rate intervals, and determining second fabric information of the clothes to be washed according to the comparison result, wherein the second fabric information comprises fabric moisture absorption.

Specifically, the second fabric information of the laundry is determined according to the preset change rate interval where the change rate of the water stain area obtained in step S206 is located.

Exemplarily, the change rate of the water stain area obtained in the step S104 is compared with a first preset change rate interval, a second preset change rate interval and a third preset change rate interval, and if the change rate of the water stain area is located in the first preset change rate interval, the second fabric information of the clothes to be washed is judged to be the water-absorbable fabric; if the change rate of the water stain area is in a second preset change rate interval, judging that the second fabric information of the clothes to be washed is a common water-absorbing fabric; and if the change rate of the water stain area is within a third preset change rate interval, judging that the second fabric information of the clothes to be washed is the fabric difficult to absorb water. After the second fabric information is acquired, step S105 is continuously performed.

It should be noted that, if the first fabric information and/or the second fabric information cannot be obtained within the preset determination time, and the material of the clothes cannot be identified, the washing machine is controlled to execute the washing program according to the preset washing parameters.

Optionally, the washing machine control method based on clothes material identification provided by the embodiment of the present invention further includes the following steps: establishing communication connection between the washing machine and the terminal equipment; sending the video image to the terminal equipment; the method comprises the steps that clothes material identification is carried out on terminal equipment, and a terminal clothes material identification result is sent to the washing machine; and determining washing parameters according to the terminal clothes material identification result and the clothes information, and executing a washing program according to the washing parameters.

In this embodiment, a communication unit may be disposed in the washing machine, the communication unit is connected to the control module of the washing machine, and the communication unit is configured to establish a wireless communication connection between the washing machine and the terminal device, so that the washing machine sends the video image in the inner tub of the washing machine to the terminal device, where the terminal device may be one or a combination of a smart phone, a tablet computer, and a notebook computer.

Before executing the washing program, a user can check video image data in an inner barrel of the washing machine at the terminal equipment, identify the texture of clothes according to the image data, and send the identification result of the texture of the clothes at the terminal to the washing machine by adopting the communication unit. The control module of the washing machine receives the terminal clothes material identification result sent by the communication unit and the clothes information acquired by the clothes detection unit, determines the washing parameters according to the terminal clothes material identification result and the clothes information, and controls the washing machine to execute the washing program according to the washing parameters, so that the remote monitoring of the washing process of the washing machine can be realized.

The embodiment of the invention also provides a clothes material identification device. Fig. 5 is a schematic structural diagram of a clothing material identification device according to an embodiment of the present invention. As shown in fig. 5, the clothing material recognition device 01 includes: the device comprises a video image acquisition unit 101, a video image processing unit 102, a clothes detection unit 020 and a control module 010, wherein the clothes detection unit 020 is used for acquiring the information of clothes in the inner drum of the washing machine after the clothes are put in; the video image acquisition unit 101 is used for acquiring a video image in the water inlet process after the clothes are put in; the video image processing unit 102 is configured to analyze a video image and obtain a change rate of a water stain area on the surface of the clothes; the control module 010 is provided with a comparison and analysis unit 105, the comparison and analysis unit 105 is used for determining first fabric information of the clothes to be washed according to the clothes information, the first fabric information comprises fabric density, second fabric information of the clothes to be washed is determined according to the change rate of water stain area, the second fabric information comprises fabric hygroscopicity, the first fabric information and the second fabric information are compared with prestored fabric data, and the material of the clothes is determined according to the comparison result; the control module 010 is further configured to determine a washing parameter according to the material of the laundry and the laundry information, and control the washing machine to execute a washing program according to the washing parameter.

In the present embodiment, the laundry information includes a laundry height and a laundry weight, and the comparison analysis unit 105 determines the first fabric information of the laundry to be washed according to the laundry height and the laundry weight. As shown in fig. 5, the laundry detecting unit 020 further includes a height detecting unit 103 and a weighing unit 104. Specifically, a height detection unit 103 provided at the inner tub of the washing machine may be used, and typically, the height detection unit 103 may be a distance sensor for detecting the height of the laundry put into the inner tub of the washing machine, and a weighing unit 104 provided at the bottom of the inner tub of the washing machine for detecting the weight of the laundry put into the inner tub of the washing machine.

In the present embodiment, the video image capturing unit 101 may be disposed above the inner tub of the washing machine, typically, the video image capturing unit 101 may be a camera, and the image capturing part of the video image capturing unit 101 faces the laundry to be washed. When clothes material quality identification is carried out, the control module 010 controls the video image acquisition unit 101 to be opened so as to acquire video images in the water inlet process.

In this embodiment, the video image processing unit 102 is configured to capture consecutive multiple frames of images in a time sequence, and perform a graying process on the consecutive multiple frames of images. Further, the video image processing unit 102 divides the pixel feature block of each frame of the grayscale image, and identifies the water stain feature region in each frame of the grayscale image based on the RGB values. Further, the video image processing unit 102 may obtain water stain feature regions in any two frames of the grayed images, calculate a difference value of areas of the water stain feature regions in the two frames of the grayed images, and calculate a change rate of the water stain area on the surface of the clothes according to the difference value of the areas of the water stain feature regions and the interval time of the two frames of the images.

In this embodiment, the second fabric information of the garment can be divided into the fabric easy to absorb water, the fabric difficult to absorb water and the common fabric capable of absorbing water according to the moisture absorption of the fabric, and the comparison analysis unit 105 compares the change rate of the water stain area with the preset data, so that the second fabric information of the garment can be preliminarily determined.

Optionally, as shown in fig. 5, the control module 010 is further provided with a storage unit 106, and the storage unit 106 is configured to store pre-stored fabric data, a light and thin weight threshold, a heavy weight threshold, and preset change rate intervals of M water stain areas, where the preset change rate intervals of the M water stain areas correspond to the M types of second fabric information one-to-one.

The fabric pre-storing data comprises pre-storing fabric materials, pre-storing first fabric information and/or pre-storing second fabric information, and each pre-storing fabric material and one first fabric information can be defined to be in one-to-one correspondence, or each pre-storing fabric material and one second fabric information are in one-to-one correspondence, or each pre-storing fabric material and combined data of a group of first fabric information and second fabric information are in one-to-one correspondence.

In this embodiment, the weight of a typical light and thin fabric (e.g., silk, chemical fiber) at a preset height may be defined as a light and thin weight threshold, and the weight of a typical heavy and thin fabric (e.g., down, woolen) at a preset height may be defined as a heavy weight threshold.

Optionally, the video image processing unit 102 is further configured to collect an n-k frame image, an nth frame image, and an n + k frame image in the video image in a time sequence, and perform graying processing, where n is an integer greater than or equal to 2, k is an integer greater than or equal to 1, and n is greater than k; carrying out differential processing on the n-th frame of gray-scale image and the n-k-th frame of gray-scale image to obtain a first differential image, and carrying out differential processing on the n + k-th frame of gray-scale image and the n-k-th frame of gray-scale image to obtain a second differential image; acquiring a first water stain characteristic region of a first differential image and a second water stain characteristic region of a second differential image; calculating a first water stain area according to the first water stain characteristic area, and calculating a second water stain area according to the second water stain characteristic area; acquiring frame interval time; and determining the change rate of the water stain area on the surface of the clothes according to the first water stain area, the second water stain area and the frame interval time.

Optionally, the comparison analysis unit 105 is further configured to obtain a light weight threshold and a heavy weight threshold; calculating the ratio of the weight of the clothes to the height of the clothes, and acquiring the product of the ratio and the preset height; if the product of the ratio and the preset height is larger than the heavy weight threshold value, judging that the first fabric information of the clothes to be washed is heavy fabric; if the product of the ratio and the preset height is smaller than the light and thin weight threshold value, judging that the first fabric information of the clothes to be washed is light and thin fabric; and if the product of the ratio and the preset height is greater than or equal to the light weight threshold value and less than or equal to the heavy weight threshold value, judging that the first fabric information of the clothes to be washed is the fabric with the common thickness.

Optionally, the comparison analysis unit 105 is further configured to determine preset change rate intervals of the M water stain areas according to the M types of second fabric information; and comparing the change rate of the water stain area with the M preset change rate intervals, and determining the second fabric information of the clothes to be washed according to the comparison result.

Optionally, the control module 010 is further configured to control the inner drum of the washing machine to rotate at a preset rotation speed, control the inner drum to stop rotating after a first preset time, and control the water inlet valve to enter water at a preset spraying speed; and after a second preset time, controlling the water inlet valve to be closed, and controlling the video image acquisition unit 101 to acquire a video image in the water inlet process, wherein the second preset time is less than the first preset time. The video image processing unit 102 is further configured to determine whether the water stain feature region can be identified in the video image, and if the water stain feature region cannot be identified by the video image processing unit 102, the control module 010 controls the washing machine to execute a second water inlet stirring program and controls the video image acquisition unit 101 to acquire the video image during the second water inlet stirring process, where parameters of the second water inlet stirring program are the same as parameters of the first water inlet stirring program.

Optionally, as shown in fig. 5, the clothing material recognition device 01 further includes: and the communication unit 107, the communication unit 107 is used for establishing communication connection between the clothes material identification device 01 and the terminal equipment.

The communication unit 107 is also used for establishing communication connection between the washing machine and the terminal equipment; sending the video image to the terminal equipment; the clothes material recognition device is used for recognizing the clothes material at the terminal equipment and sending the recognition result of the terminal clothes material to the washing machine through the communication unit 107; the control module 010 determines a washing parameter according to the terminal clothing material identification result and the clothing information, and controls the washing machine to execute a washing program according to the washing parameter.

In this embodiment, the clothing material recognition device 01 further includes: the down lamp is arranged above the inner barrel of the washing machine, and when the brightness in the inner barrel of the washing machine is lower than a preset brightness threshold value, the control module 010 controls the down lamp to be opened, so that the video image acquisition unit 101 can acquire video images.

Illustratively, the terminal device includes one or more combinations of a smartphone, a tablet computer, or a notebook computer.

Therefore, according to the clothes material identification device provided by the embodiment of the invention, the moisture absorption property of the fabric is obtained through the video image acquisition unit 101 and the video image processing unit 102, the fabric density is obtained through the clothes detection unit 020, the clothes material is identified by combining the moisture absorption property of the fabric and the fabric density, and the washing parameters are set according to the clothes material, so that the problem that the clothes material cannot be accurately identified is solved, the washing effect is favorably improved, the wear of the clothes caused by washing is reduced, and the user experience is improved.

The embodiment of the invention also provides the washing machine. Fig. 6 is a schematic structural view of a washing machine according to an embodiment of the present invention. As shown in fig. 6, the washing machine 02 includes the laundry material recognition apparatus 01.

In this embodiment, the washing machine 02 further includes a display panel and a control panel, the display panel and the control panel are respectively in communication connection with the control module 010, and the display panel is configured to obtain and display video image data and clothes information data sent by the control module 010, where the clothes information data includes clothes material, clothes height, and clothes weight. The control panel is used for sending a user input instruction to the control module 010, and a user can set washing parameters on the control panel.

In the present embodiment, the washing machine 02 establishes a wireless communication connection with the terminal device through the communication unit.

In summary, the washing machine provided by the embodiment of the invention is provided with the clothes material identification device, and by adopting the washing machine control method based on clothes material identification, the control method obtains fabric hygroscopicity through an image identification technology, identifies the clothes material by combining the fabric hygroscopicity and the fabric density, and sets the washing parameters according to the clothes material, so that the problem that the clothes material cannot be accurately identified is solved, the washing effect is improved, the wear of the clothes due to washing is reduced, and the user experience is improved.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.