Filter screen detecting and cleaning method and system, clothes dryer and storage medium

Abstract

The invention discloses a filter screen detecting and cleaning method and system, a clothes dryer and a storage medium, and belongs to the field of clothes dryers. Light waves with a first light intensity value are emitted to the filter screen, filter screen reflected light is formed under the reflection effect of filth blockage objects, then the light intensity value of the filter screen reflected light is detected, the current filth blockage value of the filter screen is calculated according to the light intensity difference of the emitted light waves and the filter screen reflected light, and if the current filth blockage value of the filter screen meets the self-cleaning operation condition, self-cleaning operation is conducted on the filter screen. The filth blockage degree of the filter screen is measured based on the light intensity difference of emitted light and filter screen reflected light, most external interference factors can be ignored, the detection efficiency is high, the detection result is accurate and reliable, drying can be carried out in real time, when filth blockage of the filter screen is serious, self-cleaning operation can be carried out on the filter screen, the intelligent degree is high, the functions are diversified, and the application scenes are rich. The filter screen does not need to be manually cleaned, the drying process is prevented from being interrupted due to human intervention, and the drying efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of dryers, and more particularly to a method, system, dryer, and storage medium for filter detection and cleaning. Background Technology

[0002] As people's living standards continue to improve, clothes dryers are gradually entering thousands of households. Using a clothes dryer to quickly dry damp clothes after washing has become a common habit for many consumers. Clothes dryers typically have filters installed in the direction of airflow to filter lint and other debris from clothing. With the fast pace of life, people often forget to clean the filters regularly. After a period of use, the filters become clogged with lint and other debris, not only reducing the airflow of the dryer but also prolonging the drying time, preventing the clothes from drying completely within the user's expected time and affecting the user experience.

[0003] Existing dryers use the temperature difference between the front and back of the filter to determine the degree of filter blockage. This method is inaccurate and has a large error. When the degree of blockage affects the drying efficiency, it reminds the user to stop drying and clean it manually, resulting in low drying efficiency, long drying time, and a poor user experience. Summary of the Invention

[0004] The purpose of this invention is to provide a filter detection and cleaning method, system, dryer, and storage medium. The method has high detection efficiency and accurate and reliable detection results. When the filter is severely clogged, it performs a self-cleaning operation, eliminating the need for manual cleaning and avoiding human intervention that could interrupt the drying process. This improves drying efficiency and enhances the user experience.

[0005] To achieve the above objectives, the following technical solution is provided:

[0006] In a first aspect, the present invention provides a filter detection and cleaning method, comprising:

[0007] A light wave with the first intensity value is emitted to the filter, and the light wave is reflected by the dirt and blockages in the filter to form the filter reflected light;

[0008] Receive the reflected light from the filter and detect the light intensity value of the reflected light, recording it as the second light intensity value;

[0009] Calculate the light intensity difference between the first light intensity value and the second light intensity value, record it as the first light intensity difference, and calculate the current dirt and clogging value of the filter based on the first light intensity difference;

[0010] Determine if the current dirt level of the filter meets the conditions for self-cleaning. If so, perform self-cleaning on the filter.

[0011] As an optional solution to the filter detection and cleaning method provided by the present invention, the current dirt clogging value of the filter is compared with the preset dirt clogging value. If the current dirt clogging value of the filter is greater than the preset dirt clogging value, the self-cleaning operation conditions are met, and the filter is self-cleaned.

[0012] As an optional solution to the filter detection and cleaning method provided by the present invention, the self-cleaning operation includes: spraying the filter; and / or brushing the filter.

[0013] As an optional solution to the filter detection and cleaning method provided by the present invention, the self-cleaning operation also includes collecting the cleaned-off dirt and blockages.

[0014] As an optional solution to the filter detection and cleaning method provided by the present invention, the calculation of the current dirt and clogging value of the filter is stopped during the self-cleaning operation.

[0015] As an optional solution of the filter detection and cleaning method provided by the present invention, after the self-cleaning operation has been performed for a preset time, the self-cleaning operation is stopped, the current dirt clogging value of the filter is recalculated, and the current dirt clogging value of the filter is compared with the preset dirt clogging value. If the current dirt clogging value of the filter is greater than the preset dirt clogging value, the self-cleaning operation continues. If the current dirt clogging value of the filter is less than or equal to the preset dirt clogging value, the self-cleaning operation is stopped.

[0016] As an optional solution of the filter detection and cleaning method provided by the present invention, the transmitted light passing through the filter is received, and the light intensity value of the transmitted light is detected and recorded as a third light intensity value; the light intensity difference between the first light intensity value and the third light intensity value is calculated and recorded as a second light intensity difference, and the current dirt and clogging value of the filter is calibrated according to the second light intensity difference.

[0017] Secondly, the present invention also provides a filter detection and cleaning system for implementing the dryer scheduled washing method described above, comprising:

[0018] The transmitting module is used to transmit light waves of the first intensity value to the filter.

[0019] The first receiving module is used to receive the reflected light from the filter.

[0020] The first detection module is used to detect the light intensity value of the light reflected from the filter and record it as the second light intensity value;

[0021] The first calculation module is used to calculate the light intensity difference between the first light intensity value and the second light intensity value, and record it as the first light intensity difference;

[0022] The second calculation module is used to calculate the current dirt and clogging value of the filter based on the first light intensity difference;

[0023] The judgment module is used to determine whether the current dirt and clogging value of the filter meets the conditions for self-cleaning operation.

[0024] Thirdly, the present invention also provides a clothes dryer, the clothes dryer including a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the program to implement the filter detection and cleaning method as described above.

[0025] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the filter detection and cleaning method described above.

[0026] Compared with existing technologies, the filter detection and cleaning method, system, dryer, and storage medium provided by this invention emit light waves of a first intensity value towards the filter. Under the reflection of dirt and clogging, reflected light is formed by the filter. The intensity value of the reflected light is then detected, and the current dirt and clogging value of the filter is calculated based on the intensity difference between the emitted light wave and the reflected light. If the current dirt and clogging value of the filter meets the conditions for self-cleaning, the filter is self-cleaned. The degree of dirt and clogging of the filter is measured based on the intensity difference between the emitted light and the reflected light, which can ignore most external interference factors, has high detection efficiency, and provides accurate and reliable detection results. It can be performed in real time during the drying process. When the filter is severely clogged, the filter is self-cleaned. It has a high degree of intelligence, diverse functions, and rich application scenarios. It eliminates the need for manual cleaning of the filter, avoids human intervention that interrupts the drying process, improves drying efficiency, ensures that the clothes are dried within the user's expected drying time, enhances the user experience, and strengthens product competitiveness. Attached Figure Description

[0027] Figure 1 This is a flowchart of the filter detection and cleaning method provided in Embodiment 1 of the present invention;

[0028] Figure 2 This is a schematic diagram of the filter detection and cleaning system provided in Embodiment 2 of the present invention;

[0029] Figure 3 This is a schematic diagram of the structure of a self-cleaning module and filter provided in Embodiment 2 of the present invention;

[0030] Figure 4 This is a schematic diagram of another self-cleaning module and filter provided in Embodiment 2 of the present invention;

[0031] Figure 5 This is a schematic diagram of the computer system of the dryer provided in Embodiment 3 of the present invention. Detailed Implementation

[0032] To make the technical problems solved by the present invention, the technical solutions adopted, and the technical effects achieved clearer, the technical solutions of the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] Example 1

[0034] Figure 1 The flowchart of the filter detection and cleaning method provided in this embodiment is as follows: Figure 1 As shown, the filter inspection and cleaning method includes the following steps:

[0035] S101. A light wave with a first intensity value is emitted to a filter. The light wave is reflected by the dirt and clogging on the filter, forming reflected light. The intensity value of the emitted light wave can be calculated based on the emission power of the emitting end of the light wave emitting device. By adjusting the emission power of the emitting end, the desired first intensity value of the light wave can be obtained. Of course, the intensity value of the light wave emitted by the emitting end can also be directly detected by a detection method. When the light wave emitting device is an infrared sensor, the emission power range of the infrared sensor can be from 20W to 200W. For example, the power of the infrared sensor can be 20W, 50W, 1000W, 150W, 200W, etc. The range of the first intensity value can be 100 cd / m². 2 Up to 3000 cd / m 2 For example, the specific value of the first light intensity could be 100 cd / m². 2 300cd / m 2 500cd / m 2 700cd / m 2 1000cd / m 2 1500cd / m 2 2000cd / m 2 3000cd / m 2 Etc., without making any specific restrictions here.

[0036] S102. Receive the reflected light from the filter and detect its intensity, recording it as the second intensity value. The reflected light is received by the receiving end of a light-emitting device, which can be an infrared sensor or a photodetector. The intensity of the reflected light can be detected by a illuminance sensor, which converts illuminance into an electrical signal. A photoresistor is a key component of the illuminance sensor; it changes its resistance based on changes in light intensity, thus converting the light signal into an electrical signal and enabling the detection and measurement of light intensity. The second intensity value can be within the range of 10 cd / m². 2 Up to 2700 cd / m 2 For example, the specific value of the second light intensity could be 10 cd / m². 2 30cd / m 2 60cd / m 2 100cd / m 2 200cd / m 2 700cd / m 2 1000cd / m 2 1500cd / m 2 2000cd / m 2 2700cd / m 2 Etc., without making any specific restrictions here.

[0037] S103. Calculate the light intensity difference between the first and second light intensity values, record it as the first light intensity difference, and calculate the current dirt / clogging level of the filter based on the first light intensity difference. It can be understood that when the filter is less clogged, the reflected light is less, and the first light intensity difference is larger; conversely, when the filter is more clogged, the reflected light is more, and the first light intensity difference is smaller. The value of the first light intensity difference can be within the range of 10 cd / m². 2 Up to 2900 cd / m 2 For example, the specific value of the first light intensity difference could be 10 cd / m². 2 30cd / m 2 60cd / m 2 100cd / m 2 200cd / m 2 700cd / m 2 1000cd / m 2 1500cd / m 2 2000cd / m 2 2700cd / m 2 2900cd / m 2Etc., not limited here. The current dirt / clogging value can range from 0 to 100%, for example, the current dirt / clogging value can be 0, 10%, 15%, 25%, 50%, 75%, 85%, 95%, 100%, etc., not limited here. The larger the current dirt / clogging value, the greater the degree of filter clogging. The correspondence between the filter clogging value and the first light intensity difference can be determined in advance through a large amount of experimental data and stored in the control system for the control system to call. When calculating the current dirt / clogging value of the filter based on the first light intensity difference, the system calls this correspondence.

[0038] S104. Determine whether the current dirt level of the filter meets the self-cleaning operation conditions. If so, perform a self-cleaning operation on the filter. If the current dirt level of the filter meets the self-cleaning operation conditions, it indicates that the filter is heavily clogged and requires cleaning measures. If the current dirt level of the filter does not meet the self-cleaning operation conditions, it indicates that the filter is only lightly clogged and does not require cleaning measures.

[0039] A light wave of initial intensity is emitted towards the filter. Reflected by the dirt and debris, this forms reflected light from the filter. The intensity of the reflected light is then detected, and the current level of dirt and clogging is calculated based on the intensity difference between the emitted and reflected light. If the current level of dirt and clogging meets the conditions for self-cleaning, the filter undergoes a self-cleaning process. This method, which measures the degree of filter clogging based on the intensity difference between the emitted and reflected light, ignores most external interference factors, offering high detection efficiency and accurate, reliable results. This process can be performed in real-time during the drying process. When the filter is severely clogged, it automatically performs a self-cleaning operation. This highly intelligent and versatile system has wide applications, eliminating the need for manual filter cleaning and preventing interruptions to the drying process. This improves drying efficiency, ensures clothes are dried within the user's expected drying time, enhances the user experience, and strengthens product competitiveness.

[0040] In some embodiments, the current clogging value of the filter is compared with a preset clogging value. If the current clogging value is greater than the preset clogging value, the conditions for self-cleaning are met, and the filter is self-cleaned. Using numerical comparison provides a straightforward and simple way to determine whether the filter is clogging enough to require self-cleaning. The program is simple, stable, and easy to run, reducing maintenance costs. The preset clogging value can range from 40% to 60%, for example, it can be 40%, 45%, 50%, 55%, 60%, etc., and is not limited here.

[0041] Optionally, the self-cleaning operation includes: spraying the filter screen; and / or brushing the filter screen. Spraying the filter screen effectively removes dust and other clogging materials. Brushing the filter screen effectively removes lint and other clogging materials. The filter screen can be cleaned by spraying it with a nozzle or by brushing it with a brush; these two cleaning methods can be used in combination or independently.

[0042] In some embodiments, the self-cleaning process also includes collecting the cleaned-off dirt and debris. A box-like structure can be placed under the filter to collect the cleaned-off dirt and debris, preventing it from being re-entered into the airflow.

[0043] Optionally, during the self-cleaning process, the calculation of the current dirt and clogging value of the filter screen can be paused. Because there are too many external interference factors during filter self-cleaning, it is necessary to pause the calculation of the current dirt and clogging value to avoid erroneous data interfering with filter detection and cleaning, thus saving operating and maintenance costs.

[0044] In some embodiments, after a preset self-cleaning time, the self-cleaning operation is stopped, the current dirt and clogging value of the filter is recalculated, and compared with the preset dirt and clogging value. If the current dirt and clogging value is greater than the preset value, the self-cleaning operation continues; if the current dirt and clogging value is less than or equal to the preset value, the self-cleaning operation stops. During the filter's self-cleaning operation, it is necessary to detect and compare the current dirt and clogging value with the preset value to determine whether cleaning is complete, and to end or continue the self-cleaning operation. This not only avoids resource waste due to excessively long self-cleaning times, but also avoids excessively short self-cleaning times resulting in still severely clogged filters.

[0045] Optionally, the transmitted light passing through the filter is received, and the intensity value of the transmitted light is detected and recorded as the third intensity value. The intensity difference between the first and third intensity values ​​is calculated and recorded as the second intensity difference, and the current clogging value of the filter is calibrated based on the second intensity difference. Using only reflected light to assess the degree of filter clogging may introduce errors; therefore, using transmitted light as a compensation method to correct the degree of filter clogging helps improve data accuracy. It is understood that when the filter clogging is relatively small, there is more transmitted light and a smaller second intensity difference; conversely, when the filter clogging is relatively large, there is less transmitted light and a larger first intensity difference. A weighted algorithm can be used to calibrate the current clogging value of the filter based on the second intensity difference; for example, the clogging value calculated from the first and second intensity differences can be averaged. Of course, different weights can be assigned to the first and second intensity differences for weighting, which is not limited here. The range of the third intensity value can be 10 cd / m². 2 Up to 2800 cd / m2 For example, the specific value of the third light intensity value could be 10 cd / m². 2 30cd / m 2 60cd / m 2 100cd / m 2 200cd / m 2 700cd / m 2 1000cd / m 2 1500cd / m 2 2000cd / m 2 2500cd / m 2 2800cd / m 2 Wait, no specific limit is made here. The range of the second light intensity difference can be 10 cd / m². 2 Up to 2900 cd / m 2 For example, the specific value of the second light intensity difference could be 10 cd / m². 2 30cd / m 2 60cd / m 2 100cd / m 2 200cd / m 2 700cd / m 2 1000cd / m 2 1500cd / m 2 2000cd / m 2 2700cd / m 2 2900cd / m 2 Etc., without making any specific restrictions here.

[0046] The filter detection and cleaning method provided in this embodiment emits a light wave with a first light intensity value to the filter. Under the reflection of dirt and clogging, reflected light is formed by the filter. The intensity of the reflected light is then detected, and the current dirt and clogging value of the filter is calculated based on the intensity difference between the emitted light wave and the reflected light. If the current dirt and clogging value of the filter meets the conditions for self-cleaning, the filter is self-cleaned. The degree of dirt and clogging of the filter is measured based on the intensity difference between the emitted light and the reflected light, which can ignore most external interference factors, has high detection efficiency, and provides accurate and reliable detection results. It can be performed in real time during the drying process. When the filter is severely clogged, the filter is self-cleaned. It has a high degree of intelligence, diverse functions, and rich application scenarios. It eliminates the need for manual cleaning of the filter, avoids human intervention that may interrupt the drying process, improves drying efficiency, ensures that the clothes are dried within the user's expected drying time, enhances the user experience, and strengthens product competitiveness.

[0047] Example 2

[0048] This embodiment provides a filter detection and cleaning system. The filter detection and cleaning system provided by this embodiment can execute the filter detection and cleaning method provided by this embodiment, and has the corresponding functional modules and beneficial effects of the method.

[0049] like Figure 2 As shown, the filter detection and cleaning system includes a transmitting module 301, a first receiving module 302, a first detection module 303, a first calculation module 304, a second calculation module 305, a judgment module 306, and a self-cleaning module 307. The transmitting module 301 is used to transmit light waves with a first light intensity value to the filter; the first receiving module 302 is used to receive the reflected light from the filter; the first detection module 303 is used to detect the light intensity value of the reflected light from the filter and record it as a second light intensity value; the first calculation module 304 is used to calculate the light intensity difference between the first light intensity value and the second light intensity value and record it as a first light intensity difference; the second calculation module 305 is used to calculate the current dirt and clogging value of the filter based on the first light intensity difference; the judgment module 306 is used to determine whether the current dirt and clogging value of the filter meets the self-cleaning operation conditions; and the self-cleaning module 307 is used to perform self-cleaning operations on the filter.

[0050] In some embodiments, such as Figure 2 As shown, the filter detection and cleaning system also includes a second receiving module 308, a second detection module 309, a third calculation module 310, and a calibration module 311. The second receiving module 308 receives transmitted light through the filter. The second detection module 309 detects the intensity value of the transmitted light and records it as a third intensity value. The third calculation module 310 calculates the intensity difference between the first and third intensity values ​​and records it as a second intensity difference. The calibration module 311 calibrates the current clogging level of the filter based on the second intensity difference. Using only reflected light to assess the degree of clogging may introduce errors. Therefore, using transmitted light as a compensation method to correct the degree of clogging improves data accuracy. It is understood that when the filter clogging is relatively small, there is more transmitted light and a smaller second intensity difference; conversely, when the filter clogging is relatively large, there is less transmitted light and a larger first intensity difference. A weighted algorithm can be used to calibrate the current dirt and clogging value of the filter based on the second light intensity difference. For example, the dirt and clogging value calculated by the first light intensity difference and the dirt and clogging value calculated by the second light intensity difference can be averaged. Of course, different weights can be assigned to the first light intensity difference and the second light intensity difference for weighting, which is not limited here.

[0051] In some embodiments, such as Figure 3As shown, the self-cleaning module includes a first brush 312, a second brush 313, and a collection box 314. Both the first brush 312 and the second brush 313 use a rotating motion to clean the filter screen 315. One first brush 312 can be provided, located in the middle of the filter screen 315, and four second brushes 313 can be provided, located at the four corners of the filter screen 315. The collection box 314 is located at the bottom of the filter screen 315 and is used to collect the cleaned dirt and debris. During the self-cleaning operation, the first brush 312 and the second brush 313 can work intermittently for one minute to sweep the lint and other dirt and debris on the filter screen 315 into the collection box 314 at the bottom, preventing excessive lint from clogging the filter screen.

[0052] In some embodiments, such as Figure 4 As shown, the self-cleaning module includes a third brush 316 and a collection box 314. The third brush 316 uses a rolling motion to brush the filter screen 315. The collection box 314 is located at the bottom of the filter screen 315 and is used to collect the cleaned dirt and clogging. The filter screen 315 can be sprayed with water first, and then the third brush 316 brushes the filter screen 315 from top to bottom, sweeping the lint and other dirt and clogging on the filter screen 315 into the collection box 314 at the bottom, thus avoiding a decrease in drying efficiency due to clogging of the filter screen 315.

[0053] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is merely an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the functional modules described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0054] The filter detection and cleaning system provided in this embodiment emits a light wave of a first intensity value to the filter via a transmitting module 301. Under the reflection of dirt and debris, reflected light is formed from the filter. A first detection module 303 detects the intensity value of the reflected light received by a first receiving module 302. A first calculation module 304 calculates the intensity difference between the emitted light wave and the reflected light, and a second calculation module 305 calculates the current dirt and debris level of the filter. If a judgment module 306 determines that the current dirt and debris level of the filter meets the conditions for self-cleaning, then a self-cleaning module 307 cleans the filter. The filter performs a self-cleaning operation, measuring the degree of filter clogging based on the light intensity difference between the emitted light and the reflected light. It can ignore most external interference factors, has high detection efficiency, and provides accurate and reliable results. It can be performed in real time during the drying process. When the filter is severely clogged, it performs a self-cleaning operation. It has a high degree of intelligence, diverse functions, and rich application scenarios. It eliminates the need for manual filter cleaning, avoids interruptions to the drying process due to human intervention, improves drying efficiency, ensures that clothes are dried within the user's expected drying time, enhances the user experience, and strengthens product competitiveness.

[0055] Example 3

[0056] Figure 5 This is a schematic diagram of the computer system of the dryer in this embodiment. Figure 5 A block diagram of a computer system suitable for implementing an exemplary clothes dryer according to embodiments of the present invention is shown. Figure 5 The dryer shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention.

[0057] like Figure 5 As shown, the computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 402 or programs loaded from storage section 408 into random access memory (RAM) 403. The RAM 403 also stores various programs and data required for the operation of the computer system 400. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0058] The following components are connected to I / O interface 405: an input section 406 including a keyboard, mouse, etc.; an output section 407 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN card, modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to I / O interface 405 as needed. A removable medium 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 410 as needed so that computer programs read from it can be installed into storage section 408 as needed.

[0059] In particular, according to the embodiments disclosed in this invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit (CPU) 401, it performs the functions defined above in the system of this invention.

[0060] It should be noted that the computer-readable medium shown in this invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0061] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0062] The modules and / or units described in this invention can be implemented in software or hardware. The described modules and / or units can also be housed in a processor; for example, a processor can be described as including a time determination module, a recording module, a strategy determination module, and an adjustment module. The names of these modules do not necessarily limit the module itself.

[0063] Bus 404 represents one or more of several bus architectures, including a memory device bus or memory device controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Subversive Alliance (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0064] Computer systems typically include a variety of computer-readable media. These media can be any available media that can be accessed by a computer system, including volatile and non-volatile media, and removable and non-removable media.

[0065] The storage device may include computer system readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The computer system may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system may be used to read and write non-removable, non-volatile magnetic media (commonly referred to as a "hard disk drive"). Disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs, such as compact disc read-only memory (CD-ROM), digital video disc read-only memory (DVD-ROM), or other optical media, may be provided. In these cases, each drive may be connected to bus 404 via one or more data media interfaces. The storage device may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0066] A program / utility having a set (at least one) of program modules can be stored in, for example, a storage device. Such program modules include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of this invention.

[0067] The computer system can also communicate with one or more external devices (e.g., keyboard, pointing terminal, monitor, etc.), one or more terminals that enable users to interact with the computer system, and / or any terminal that enables the computer system to communicate with one or more other computing terminals (e.g., network interface card, modem, etc.). This communication can be performed via input / output (I / O) interfaces. Furthermore, the computer system can communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via a network adapter. The network adapter communicates with other modules of the computer system via a bus. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with the computer system, including but not limited to: microcode, terminal drivers, redundant processors, external disk drive arrays, Redundant Arrays of Independent Disks (RAID) systems, tape drives, and data backup storage systems.

[0068] The processor executes various functional applications and data processing by running programs stored in a storage device, such as implementing the filter detection and cleaning method provided in this embodiment of the invention, which includes:

[0069] A light wave with the first intensity value is emitted to the filter, and the light wave is reflected by the dirt and blockages in the filter to form the filter reflected light;

[0070] Receive the reflected light from the filter and detect the light intensity value of the reflected light, recording it as the second light intensity value;

[0071] Calculate the light intensity difference between the first light intensity value and the second light intensity value, record it as the first light intensity difference, and calculate the current dirt and clogging value of the filter based on the first light intensity difference;

[0072] Determine if the current dirt level of the filter meets the conditions for self-cleaning. If so, perform self-cleaning on the filter.

[0073] A light wave with a first intensity value is emitted towards the filter. Reflected by the dirt and debris, this forms reflected light from the filter. The intensity of the reflected light is then detected, and the current level of dirt and clogging is calculated based on the intensity difference between the emitted and reflected light. If the current level of dirt and clogging meets the conditions for self-cleaning, the filter undergoes self-cleaning. This method, which measures the degree of clogging based on the intensity difference between the emitted and reflected light, ignores most external interference factors, offering high detection efficiency and accurate, reliable results. It can be performed in real-time during the drying process. When the filter is severely clogged, self-cleaning is initiated. This highly intelligent system offers diverse functions and a wide range of applications. It eliminates the need for manual filter cleaning, preventing interruptions to the drying process and improving drying efficiency. It ensures that clothes are dried within the user's expected drying time, enhancing the user experience and strengthening product competitiveness.

[0074] Example 4

[0075] This embodiment provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the program implements the filter detection and cleaning method provided in this embodiment of the invention. The method includes:

[0076] A light wave with the first intensity value is emitted to the filter, and the light wave is reflected by the dirt and blockages in the filter to form the filter reflected light;

[0077] Receive the reflected light from the filter and detect the light intensity value of the reflected light, recording it as the second light intensity value;

[0078] Calculate the light intensity difference between the first light intensity value and the second light intensity value, record it as the first light intensity difference, and calculate the current dirt and clogging value of the filter based on the first light intensity difference;

[0079] Determine if the current dirt level of the filter meets the conditions for self-cleaning. If so, perform self-cleaning on the filter.

[0080] A light wave with a first intensity value is emitted towards the filter. Reflected by the dirt and debris, this forms reflected light from the filter. The intensity of the reflected light is then detected, and the current level of dirt and clogging is calculated based on the intensity difference between the emitted and reflected light. If the current level of dirt and clogging meets the conditions for self-cleaning, the filter undergoes self-cleaning. This method, which measures the degree of clogging based on the intensity difference between the emitted and reflected light, ignores most external interference factors, offering high detection efficiency and accurate, reliable results. It can be performed in real-time during the drying process. When the filter is severely clogged, self-cleaning is initiated. This highly intelligent system offers diverse functions and a wide range of applications. It eliminates the need for manual filter cleaning, preventing interruptions to the drying process and improving drying efficiency. It ensures that clothes are dried within the user's expected drying time, enhancing the user experience and strengthening product competitiveness.

[0081] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0082] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0083] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0084] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or terminal. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0085] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A filter screen inspection and cleaning method, characterized in that, include: A light wave with the first intensity value is emitted to the filter, and the light wave is reflected by the dirt and blockages in the filter to form the filter reflected light; Receive the reflected light from the filter and detect the light intensity value of the reflected light, recording it as the second light intensity value; Calculate the light intensity difference between the first light intensity value and the second light intensity value, record it as the first light intensity difference, and calculate the current dirt and clogging value of the filter based on the first light intensity difference; Determine if the current dirt level of the filter meets the conditions for self-cleaning. If so, perform self-cleaning on the filter.

2. The filter detection and cleaning method according to claim 1, characterized in that, Compare the current dirt and clogging value of the filter with the preset dirt and clogging value. If the current dirt and clogging value of the filter is greater than the preset dirt and clogging value, the self-cleaning operation conditions are met, and the filter will perform a self-cleaning operation.

3. The filter detection and cleaning method according to claim 1, characterized in that, Self-cleaning operations include: spraying the filter screen; and / or brushing the filter screen.

4. The filter screen detection and cleaning method according to claim 1, characterized in that, The self-cleaning process also includes collecting the dirt and blockages that have been washed away.

5. The filter detection and cleaning method according to claim 1, characterized in that, During the self-cleaning process, the calculation of the current dirt and clogging value of the filter is stopped.

6. The filter screen detection and cleaning method according to claim 1, characterized in that, After the preset time for self-cleaning is completed, the self-cleaning operation is stopped, the current dirt and clogging value of the filter is recalculated, and the current dirt and clogging value of the filter is compared with the preset dirt and clogging value. If the current dirt and clogging value of the filter is greater than the preset dirt and clogging value, the self-cleaning operation continues. If the current dirt and clogging value of the filter is less than or equal to the preset dirt and clogging value, the self-cleaning operation is stopped.

7. The filter screen detection and cleaning method according to claim 1, characterized in that, The system receives transmitted light through the filter and detects the light intensity value of the transmitted light through the filter, recording it as the third light intensity value; it calculates the light intensity difference between the first light intensity value and the third light intensity value, records it as the second light intensity difference, and calibrates the current dirt and clogging value of the filter based on the second light intensity difference.

8. A filter screen detection and cleaning system, characterized in that, A filter detection and cleaning method as described in any one of claims 1 to 7, comprising: The transmitting module is used to transmit light waves of the first intensity value to the filter. The first receiving module is used to receive the reflected light from the filter. The first detection module is used to detect the light intensity value of the light reflected from the filter and record it as the second light intensity value; The first calculation module is used to calculate the light intensity difference between the first light intensity value and the second light intensity value, and record it as the first light intensity difference; The second calculation module is used to calculate the current dirt and clogging value of the filter based on the first light intensity difference; The judgment module is used to determine whether the current dirt and clogging value of the filter meets the conditions for self-cleaning operation; The self-cleaning module is used to perform self-cleaning of the filter screen.

9. A clothes dryer, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the filter detection and cleaning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the filter detection and cleaning method as described in any one of claims 1 to 7.

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