Filter detection method and device of clothes treatment equipment, equipment and storage medium

Abstract

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a filter detection method, device and equipment of clothes treatment equipment and a storage medium. After the dehydration stage is completed, firstly, the clothes information, the equipment information and the water vapor end temperature after dehydration are integrated, and the heat demand value needed in the drying stage is determined. Then, on the basis of the demand value, the theoretical drying duration of the clothes and the corresponding theoretical condensate water amount are predicted; in the actual drying process, the actual condensate water amount is monitored and recorded in real time and compared with the theoretical value. Through the comparison result, whether the filter of the clothes processing equipment is blocked or not can be effectively judged. According to the method, whether the filter of the clothes treatment equipment is blocked by accumulated impurities such as thread flocks and hair or not can be effectively judged, the problem that the circulating air volume is reduced due to blockage of the filter is solved, the drying efficiency is remarkably improved, and stable operation of the clothes treatment equipment is ensured.

Description

Technical Field

[0001] This application belongs to the field of smart home appliance technology, specifically relating to a filter detection method, device, equipment, and storage medium for a clothing processing equipment. Background Technology

[0002] With the rapid development of technology and the continuous improvement of living standards, clothing cleaning equipment, as an indispensable household appliance in modern families, not only greatly simplifies the daily cleaning and care of clothing, but also meets users' diverse needs for clothing cleaning and care.

[0003] Existing garment processing equipment is usually equipped with filters, which are located in the drainage system or air duct system of the garment processing equipment. Their main function is to intercept and collect impurities such as lint, hair, and dust generated during the washing process, preventing them from entering the drainage pipes or clogging the air ducts of the drying system, thereby maintaining the cleanliness of the internal environment of the garment processing equipment.

[0004] However, despite the important role of filters in garment processing equipment, over time and with frequent use, filters often accumulate a large amount of lint, hair, and other impurities inside. When there is too much of this lint, it can significantly reduce the airflow of the filter, thereby affecting drying efficiency. Summary of the Invention

[0005] This application provides a filter detection method, apparatus, device, and storage medium for garment processing equipment, which addresses the problem of reduced airflow due to the accumulation of large amounts of lint, hair, and other impurities inside the filter, thereby affecting drying efficiency.

[0006] In a first aspect, this application provides a method for detecting filters in a garment processing device, comprising:

[0007] After the dehydration stage is completed, the heat requirement for the drying stage is determined based on the clothing information, the equipment information of the clothing processing equipment, and the final temperature of the water vapor after the dehydration stage.

[0008] Based on the heat demand value, the theoretical drying time and corresponding theoretical condensation amount of the clothing are determined;

[0009] During the process of controlling the clothing processing equipment to dry the clothing, the actual amount of condensation in the clothing processing equipment within the theoretical drying time is detected;

[0010] Based on the theoretical condensate volume and the actual condensate volume, determine whether the filter of the clothing processing equipment is clogged.

[0011] Optionally, the equipment information includes the inner drum diameter and the rotation speed during the dehydration stage, and the clothing information includes the clothing material, the wet weight of the clothing after the dehydration stage, and the clothing temperature.

[0012] The determination of the heat requirement for the drying stage based on clothing information, equipment information of the clothing processing equipment, and the final temperature of water vapor after the dehydration stage includes:

[0013] Based on the preset correspondence between the inner cylinder diameter, rotation speed, clothing material and moisture content, as well as the clothing material in the clothing information, the moisture content of the clothing is determined.

[0014] Based on the moisture content and the wet weight of the garment, the moisture content of the garment is determined;

[0015] The heat demand value is determined based on the moisture content, the temperature of the clothing, and the final temperature of the water vapor.

[0016] Optionally, determining the theoretical drying time and corresponding theoretical condensation amount of the clothing based on the heat demand value includes:

[0017] Based on the heat demand value, the drying power of the clothing processing equipment, and the heat loss coefficient, the theoretical drying time and the corresponding theoretical condensation amount are determined.

[0018] Optionally, determining whether the filter of the garment processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume includes:

[0019] If the actual condensate volume is less than the theoretical condensate volume, and the difference between the theoretical condensate volume and the actual condensate volume is greater than a first preset value, then the filter of the clothing processing equipment is determined to be clogged.

[0020] Optionally, the theoretical drying time includes multiple consecutive time periods, and the theoretical condensate volume includes the theoretical condensate volume corresponding to each of the time periods;

[0021] The detection of the actual condensation amount of the garment processing equipment within the theoretical drying time includes:

[0022] According to the multiple time periods included in the theoretical drying time, the actual condensation amount of the clothing processing equipment in each of the time periods is detected.

[0023] Optionally, determining whether the filter of the garment processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume includes:

[0024] For a consecutive preset number of time periods, if the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and the difference between the theoretical condensate volume and the actual condensate volume in each time period is greater than a second preset value, then the filter of the clothing processing equipment is determined to be clogged.

[0025] Optionally, determining whether the filter of the garment processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume includes:

[0026] The theoretical condensate volume corresponding to each of the multiple time periods is fitted into a theoretical condensate volume curve, and the actual condensate volume corresponding to each of the multiple time periods is fitted into an actual condensate volume curve.

[0027] If the values ​​of the actual condensate flow curves are all less than the values ​​of the corresponding theoretical condensate flow curves, then the filter of the clothing processing equipment is determined to be clogged.

[0028] Secondly, this application provides a filter detection device for a garment processing equipment, comprising:

[0029] The determination module is used to determine the heat demand value for the drying stage after the dehydration stage is completed, based on the clothing information, the equipment information of the clothing processing equipment, and the final temperature of the water vapor after the dehydration stage is completed.

[0030] The determining module is also used to determine the theoretical drying time and corresponding theoretical condensation amount of the clothing based on the heat demand value.

[0031] The detection module is used to detect the actual amount of condensation in the clothing processing equipment during the theoretical drying time while controlling the clothing processing equipment to dry the clothing.

[0032] The determining module is also used to determine whether the filter of the clothing processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume.

[0033] Optionally, the determining module is further configured to determine the moisture content of the clothing based on the preset correspondence between the inner cylinder diameter, rotation speed, clothing material and moisture content, as well as the clothing material in the clothing information.

[0034] The determining module is further configured to determine the moisture content of the clothing based on the moisture content and the wet weight of the clothing;

[0035] The determining module is specifically used to determine the heat demand value based on the moisture content, the clothing temperature, and the water vapor temperature.

[0036] Optionally, the determining module is specifically used to determine the theoretical drying time and the corresponding theoretical condensation amount based on the heat demand value, the drying power of the clothing processing equipment, and the heat loss coefficient.

[0037] Optionally, the determining module is specifically used to determine that the filter of the clothing processing equipment is clogged when the actual condensate volume is less than the theoretical condensate volume and the difference between the theoretical condensate volume and the actual condensate volume is greater than a first preset value.

[0038] Optionally, the detection module is specifically used to detect the actual amount of condensation in the clothing processing equipment during each of the multiple time periods included in the theoretical drying time.

[0039] Optionally, the determining module is specifically used to determine that the filter of the clothing processing equipment is clogged if, for a consecutive preset number of time periods, the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and the difference between the theoretical condensate volume and the actual condensate volume in each time period is greater than a second preset value.

[0040] Optionally, the device module further includes: a fitting module.

[0041] The fitting module is used to fit the theoretical condensate volume corresponding to each of the multiple time periods into a theoretical condensate volume curve, and to fit the actual condensate volume corresponding to each of the multiple time periods into an actual condensate volume curve.

[0042] The determining module is specifically used to determine that the filter of the clothing processing equipment is clogged when the values ​​of the actual condensate flow curves are all less than the values ​​of the corresponding theoretical condensate flow curves.

[0043] Thirdly, this application provides a filter detection device for a garment processing equipment, comprising:

[0044] Memory;

[0045] processor;

[0046] The memory stores computer-executed instructions;

[0047] The processor executes computer execution instructions stored in the memory to implement the filter detection method for the garment processing device as described in the first aspect and various possible implementations of the first aspect above.

[0048] Fourthly, this application provides a computer storage medium storing computer execution instructions thereon, which are executed by a processor to implement the filter detection method of the garment processing device as described in the first aspect and various possible implementations of the first aspect.

[0049] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the filter detection method of the garment processing device as described above.

[0050] The filter detection method for the garment processing equipment provided in this application first determines the heat requirement for the drying stage by comprehensively considering garment information, equipment information, and the final temperature of the water vapor after dehydration, after the dehydration stage. Then, based on this requirement, the theoretical drying time and corresponding theoretical condensation volume of the garment are predicted. During the actual drying process, the actual condensation volume is monitored and recorded in real time and compared with the theoretical value. This comparison effectively determines whether the filter of the garment processing equipment is clogged. This method can effectively determine whether the filter of the garment processing equipment is clogged due to the accumulation of lint, hair, and other impurities, thereby solving the problem of reduced airflow caused by filter clogging, significantly improving drying efficiency, and ensuring the stable operation of the garment processing equipment. Attached Figure Description

[0051] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0052] Figure 1 The process of the filter testing method for the garment processing equipment provided in this application Figure 1 ;

[0053] Figure 2 The process of the filter testing method for the garment processing equipment provided in this application Figure 2 ;

[0054] Figure 3 The process of the filter testing method for the garment processing equipment provided in this application Figure 3 ;

[0055] Figure 4 This is a schematic diagram of the filter detection device of the garment processing equipment provided in this application;

[0056] Figure 5 This is a schematic diagram of the structure of the filter detection device for the garment processing equipment provided in this application.

[0057] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0059] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0060] In this application, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0061] With the rapid development of technology and the continuous improvement of living standards, clothing processing equipment, as a key component of modern family life, not only significantly improves the cleaning effect and care quality of clothing, but also greatly enhances the user experience and convenience.

[0062] Filters are usually installed in the drainage or air duct systems of garment processing equipment. The main function of the filter is to intercept and effectively collect various impurities generated during the washing process, including but not limited to lint, hair, dust and other tiny particles, so as to ensure that these impurities do not enter the drainage pipe and cause blockage, nor enter the air duct of the drying system and affect the drying efficiency.

[0063] However, despite the crucial role filters play in garment processing, over time and with frequent use, they often accumulate a large amount of lint, hair, and other impurities. These accumulated impurities severely affect the filter's ventilation performance, leading to a significant decrease in airflow and thus adversely impacting drying efficiency.

[0064] To address the aforementioned issues, this application provides a filter detection method for a garment processing device. After the dehydration stage, the heat requirement for the drying stage is determined by comprehensively considering garment information, equipment information, and the final temperature of the dehydrated water vapor. Subsequently, based on this requirement, the theoretical drying time and corresponding theoretical condensation volume of the garments are predicted. During the actual drying process, the actual condensation volume is monitored and recorded in real time and compared with the theoretical value. This comparison effectively determines whether the filter of the garment processing device is clogged. This method effectively identifies whether the filter of the garment processing device is clogged due to the accumulation of lint, hair, and other impurities, thereby solving the problem of reduced airflow caused by filter clogging, significantly improving drying efficiency, and ensuring the stable operation of the garment processing device.

[0065] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0066] Figure 1 The flowchart of the filter detection method for the garment processing equipment provided in this embodiment Figure 1 The executing entity in this embodiment can be, for example, the control device of a garment processing equipment. Figure 1 As shown, the filter detection method for the garment processing equipment provided in this embodiment includes:

[0067] S101: After the dehydration stage is completed, the heat requirement for the drying stage is determined based on the clothing information, the equipment information of the clothing processing equipment, and the final temperature of the water vapor after the dehydration stage.

[0068] Among them, clothing information refers to the specific information of the clothing present in the inner drum of the clothing processing equipment. This information includes, but is not limited to, the clothing material, the weight of the clothing in a dry state, and the weight of the clothing in a wet state.

[0069] Equipment information refers to the basic parameters of the garment processing equipment, including but not limited to the model of the garment processing equipment, the model of the built-in drying device, the drying power of the built-in drying device, and the diameter of the inner drum of the garment processing equipment.

[0070] The final water vapor temperature refers to the temperature reached by the water vapor formed after the moisture in the clothes is spun out during the dehydration process, before it enters the air duct of the drying system. As you can understand, in clothing processing equipment, after the dehydration stage is completed, the moisture released from the clothes quickly turns into water vapor. This water vapor is then drawn into the air duct of the drying system. Temperature sensors installed inside the air duct can then detect and record the temperature of this gas in real time.

[0071] The heat requirement during the drying stage refers to the total amount of heat energy required by the garment processing equipment to ensure that the clothes in the inner drum are completely dry after entering the drying stage.

[0072] The purpose of this step is to determine how much heat the garment processing equipment needs to completely dry the clothes in the inner drum after entering the drying stage.

[0073] Different acquisition factors have different acquisition methods. When the acquisition factor is clothing information, the acquisition method can be, for example, through a weight sensor, through a motor built into the clothing processing equipment, or through an image recognition device built into the clothing processing equipment.

[0074] When the acquisition factor is equipment information, it can be obtained, for example, from the information database of the garment processing equipment. When the acquisition factor is the final temperature of the water vapor, it is obtained by the temperature sensor built into the air duct after the water vapor enters the air duct of the drying system. This application does not impose any special restrictions on this.

[0075] For example, suppose the garment processing device is a smart washer-dryer combo. It is known that the user has placed a pile of clothes into the inner drum of this smart washer-dryer combo, and the garment processing device has completed the dehydration stage and entered the drying stage. Based on the above information, we can determine that the garment material is polyester, and its weight in the dry state is 5 kg. Additionally, the drying power of the built-in drying unit is 2000 watts, the inner drum diameter is 600 mm, and the final temperature of the water vapor entering the air duct is 98°C.

[0076] S102: Based on the heat demand value, determine the theoretical drying time and corresponding theoretical condensation amount of the clothes.

[0077] The theoretical drying time refers to the total time required for the garment processing equipment to ensure that the clothes in the inner drum reach a preset state of complete dryness after entering the drying stage. For example, if the theoretical drying time is 35 minutes, it means that the clothes need 35 minutes in the inner drum to reach a completely dry state.

[0078] Theoretical condensation capacity refers to the estimated total amount of liquid water that will be condensed and collected from the moisture contained in clothing during the theoretical drying process through evaporation.

[0079] The purpose of this step is to determine the specific time required for the garment processing equipment to complete the drying task under ideal conditions, and to estimate the volume of liquid water that may be generated after drying.

[0080] Understandably, the heat demand value comprehensively considers clothing information, equipment information, and the final temperature of water vapor after the dehydration stage, accurately reflecting the total amount of heat required for clothing to reach a fully dry state. Therefore, to ensure that clothing is adequately dried, it is necessary to determine the specific time required to dry the clothing (i.e., the theoretical drying time) and the potential volume of liquid water generated during this process (i.e., the theoretical condensation volume) based on the heat demand value.

[0081] S103: During the process of controlling the drying of clothes by the clothes processing equipment, detect the actual amount of condensation in the clothes processing equipment within the theoretical drying time.

[0082] The actual condensation amount refers to the actual total amount of liquid water contained in the clothing that is condensed and collected after evaporation during the drying process within the theoretical drying time.

[0083] Understandably, during the drying process of clothes in the clothing processing equipment, the control device of the clothing processing equipment not only executes the drying program based on the theoretical drying time calculated in advance, but also monitors and records in real time the actual total amount of liquid water collected by the condensation device after the moisture in the clothes evaporates during this period.

[0084] S104: Based on the theoretical condensate volume and the actual condensate volume, determine whether the filter of the garment processing equipment is clogged.

[0085] Among them, by comparing the difference between the theoretical condensate volume and the actual condensate volume, the system assesses and determines whether the built-in filter of the garment processing equipment is clogged during the drying process.

[0086] Understandably, the theoretical condensation volume is estimated based on the heat demand during the drying stage. Under ideal conditions, it represents the estimated total amount of liquid water that evaporates from the clothes and is collected by condensation during the drying process. The actual condensation volume, on the other hand, is the actual total amount of liquid water collected and measured by the condensation device during the drying process, based on the water that actually evaporates from the clothes.

[0087] Therefore, by comprehensively considering the comparison between theoretical condensate volume and actual condensate volume, it is possible to assess whether the garment processing equipment has achieved the expected drying effect during the drying process, and thus determine whether its built-in filter is clogged.

[0088] Optionally, this application provides a possible implementation method, which specifically includes: if the actual condensate volume is less than the theoretical condensate volume, and the difference between the theoretical condensate volume and the actual condensate volume is greater than a first preset value, then it is determined that the filter of the clothing processing equipment is clogged.

[0089] The first preset value is used to assess whether the difference between the theoretical condensate volume and the actual condensate volume is significant enough to indicate filter blockage.

[0090] The purpose of determining whether the actual condensation amount is less than the theoretical condensation amount, and whether the difference between the theoretical condensation amount and the actual condensation amount is greater than the first preset value, is to evaluate whether the actual effect of the garment processing equipment in the drying process has achieved the ideal effect.

[0091] Understandably, theoretical condensate volume represents the total amount of liquid water that should evaporate and condense during the drying process under ideal conditions, directly reflecting the ideal drying effect. Actual condensate volume, on the other hand, is the total amount of liquid water actually measured during the drying process, directly reflecting the actual drying effect. Therefore, by comparing actual condensate volume with theoretical condensate volume, we can assess whether the garment processing equipment has achieved the ideal drying effect.

[0092] If the difference between the theoretical condensate volume and the actual condensate volume is less than the first preset value, and the difference between the theoretical condensate volume and the actual condensate volume is greater than the first preset value, it indicates that the actual effect of the clothing processing equipment in the drying process has not reached the ideal effect. At this time, it can be determined that the filter of the clothing processing equipment is clogged.

[0093] If the difference between the theoretical condensate volume and the actual condensate volume is not less than the first preset value, and the difference between the theoretical condensate volume and the actual condensate volume is not greater than the first preset value, it indicates that the actual effect of the clothing processing equipment in the drying process has reached the ideal effect. At this time, it can be determined that the filter of the clothing processing equipment is not clogged.

[0094] Optionally, after determining that the filter of the garment processing equipment is clogged, this application will also generate a prompt message to remind the user to clean the filter. These prompt messages can reach the user through various channels, including but not limited to: remote reminders on the user terminal and direct display on the control panel.

[0095] Understandably, by establishing a communication connection between the garment processing device and the user's smartphone, tablet, or other smart device, real-time reminders can be sent. This way, even when the user is not near the garment processing device, they can immediately receive a notification that the filter needs cleaning, enhancing ease of use and the device's intelligence.

[0096] In addition, the control panel of the garment processing equipment can also display corresponding prompts, such as flashing indicator lights, displayed text or graphics, so that users can directly notice the prompts that the filter needs to be cleaned when operating the garment processing equipment.

[0097] The filter detection method for the garment processing equipment provided in this embodiment first calculates the required heat value for the drying stage by comprehensively considering garment information, equipment information, and the final water vapor temperature at the end of dehydration, after the dehydration stage. Then, based on this heat requirement, the theoretical drying time and corresponding theoretical condensation volume of the garments are further derived. During the garment drying process, the actual condensation volume is detected and recorded in real time. Finally, the difference between the theoretical and actual condensation volumes is compared. This method not only solves the problem of decreased drying efficiency caused by filter clogging but also significantly improves the user experience, thereby extending the service life of the garment processing equipment and effectively reducing the inconvenience and economic costs caused by frequent maintenance.

[0098] Figure 2 The flowchart of the filter detection method for the garment processing equipment provided in this embodiment Figure 2 The executing entity in this embodiment can be, for example, the control device of a garment processing equipment. Figure 2 As shown. This embodiment is in Figure 1 Based on the embodiments, the implementation process of filter detection in clothing processing equipment is described in detail. The filter detection method for clothing processing equipment provided in this embodiment includes:

[0099] S201: After the dehydration stage is completed, the moisture content of the clothes is determined based on the preset correspondence between the inner drum diameter, rotation speed, and clothing material and the moisture content, as well as the clothing material in the clothing information. The equipment information includes the inner drum diameter and the rotation speed of the dehydration stage, and the clothing information includes the clothing material, the wet weight of the clothes after the dehydration stage, and the clothing temperature.

[0100] The inner drum diameter indicates the size of the inner drum of the garment processing equipment. Different garment processing equipment has different inner drum diameters, for example, it can be 580mm or 600mm.

[0101] Rotational speed is used to indicate the rotational speed reached by the motor of the garment processing equipment during the dehydration stage.

[0102] The clothing material is used to indicate the clothing material present in the inner drum.

[0103] The moisture content of clothing is used to indicate the amount of water content in clothing when it is wet.

[0104] The purpose of this step is to determine the moisture content of the clothes in the inner drum when they are wet.

[0105] Understandably, the preset relationship between the inner drum diameter, spin speed, and clothing material and the moisture content is based on extensive experimental data and experience. It represents the moisture content that different types of clothing can achieve after the dehydration stage at a specific inner drum diameter and spin speed. This relationship takes into account the differences in the absorption, retention, and release characteristics of different clothing materials, as well as the influence of the inner drum diameter and spin speed on the dehydration effect.

[0106] Therefore, by using the fabric of the garment as a determining factor, and using the preset inner drum diameter, rotation speed, and fabric fabric as selection factors, the moisture content of the garment in a wet state can be determined more accurately, i.e., the moisture content of the garment.

[0107] Optionally, this application provides a table showing the relationship between the inner cylinder diameter, rotation speed, clothing material, and moisture content, as shown in Table 1. Table 1

[0108] As shown in Table 1, when the dehydration speed is 600 rpm, the inner drum diameter is 580 mm, and the clothing material is wool, the corresponding moisture content of the clothing is A1; when the dehydration speed is 600 rpm, the inner drum diameter is 600 mm, and the clothing material is wool, the corresponding moisture content of the clothing is B1.

[0109] With a spin speed of 700 rpm, an inner drum diameter of 580 mm, and wool as the garment material, the corresponding moisture content of the garment is C1; with a spin speed of 700 rpm, an inner drum diameter of 600 mm, and wool as the garment material, the corresponding moisture content of the garment is D1.

[0110] With a spin speed of 800 rpm, an inner drum diameter of 580 mm, and wool as the garment material, the corresponding moisture content of the garment is E1; with a spin speed of 800 rpm, an inner drum diameter of 600 mm, and wool as the garment material, the corresponding moisture content of the garment is F1.

[0111] For example, if the inner drum of the garment processing equipment being used by the user has a diameter of 580mm, and the dehydration speed of the garment processing equipment during the dehydration stage is 900rpm, and the garment material in the inner drum is pure cotton, then based on the above information and in conjunction with the corresponding relationship table, the moisture content of the garment can be determined to be G1.

[0112] S202: Determine the moisture content of clothing based on moisture content and wet weight of clothing.

[0113] Among them, wet weight of clothing is used to indicate the weight of clothing in a wet state.

[0114] Moisture content is used to indicate the amount of water that needs to be removed from clothing.

[0115] The purpose of this step is to determine how much water the garment processing equipment needs to remove after entering the drying stage.

[0116] Understandably, once the dehydration stage is complete, determining the moisture content of the clothes can provide data support for the subsequent drying stage, ensuring that the clothing processing equipment can remove this moisture in a targeted manner, thereby optimizing drying efficiency, avoiding under-drying or over-drying, and ultimately achieving the ideal dry state for the clothes.

[0117] Optionally, this application may use, for example, the following formula to determine the moisture content of clothing:

[0118] Among them, M 含水量 M represents the moisture content of clothing. 湿 C represents the wet weight of the clothing, and C represents the moisture content of the clothing.

[0119] For example, if the wet weight of the clothing is known to be 1756g and the moisture content of the clothing is 110%, then based on the above information, the moisture content of the clothing can be determined to be 825.5g.

[0120] S203: Determine the heat demand value based on moisture content, clothing temperature, and water vapor terminal temperature.

[0121] The garment temperature refers to the temperature reached by the garment itself when it is placed in the drying system and the drying process is about to begin.

[0122] Understandably, the drying system will preheat the clothes in the inner drum to a certain extent before starting the drying program, so as to ensure that the clothes are in a relatively high temperature environment when the drying process begins, thereby accelerating the evaporation of moisture. Therefore, the clothes will reach a certain temperature before being dried by the drying system.

[0123] Optionally, this application may use, for example, the following formula to determine the heat requirement value. Q1 = C * M 含水量 *(T1-T2)

[0124] Where Q1 is the heat demand, C is the specific heat capacity of water, a constant with a value of 4200 J / (kg·℃), and M... 含水量 T1 represents the moisture content of the clothing, T2 represents the final temperature of the water vapor, and T3 represents the temperature of the clothing.

[0125] For example, given that the final temperature of the water vapor is 100℃, the temperature of the clothing is 16℃, and the moisture content of the clothing is 825.5g, then based on this information, the heat demand can be determined to be 0.080899 kWh.

[0126] S204: Based on the heat demand, the drying power of the garment processing equipment, and the heat loss coefficient, determine the theoretical drying time and the corresponding theoretical condensation. The theoretical drying time includes multiple consecutive time periods, and the theoretical condensation includes the theoretical condensation corresponding to each time period.

[0127] Among them, multiple consecutive time periods are obtained by dividing the theoretical drying time into equal parts.

[0128] The theoretical condensation amount for each time period refers to the estimated total amount of liquid water contained in the clothes that is condensed and collected after evaporation during the drying process within each time period.

[0129] In this step, for example, the theoretical drying time can be determined first based on the heat demand, the drying power of the garment processing equipment, and the heat loss coefficient; then, the theoretical drying time can be divided into multiple consecutive time periods; finally, the theoretical condensation amount corresponding to each time period is determined based on the multiple time periods.

[0130] For example, assuming the theoretical drying time is 35 minutes, we can first determine the corresponding consecutive time periods as [0 minutes, 5 minutes], [5 minutes, 10 minutes], [15 minutes, 20 minutes], [25 minutes, 30 minutes], [30 minutes, 35 minutes], and then determine the theoretical condensate volume corresponding to each time period as L1, L2, L3, L4, and L5.

[0131] Optionally, this application provides a method for determining the heat loss coefficient, which specifically includes: determining the heat loss coefficient based on a preset correspondence table between the wet weight range of clothing and the heat loss coefficient, as well as the wet weight of the clothing.

[0132] The table showing the relationship between the preset wet weight range of clothing and the heat loss coefficient is shown in Table 2. Table 2 Clothing wet weight range heat loss coefficient [P1, P2] 0.2 [P3, P4] 0.22 [P5, P6] 0.25 ... ....

[0133] As shown in Table 2, the heat loss coefficient is 0.2 when the wet weight of the clothing is in the range of [P1, P2]; 0.22 when the wet weight of the clothing is in the range of [P3, P4]; and 0.25 when the wet weight of the clothing is in the range of [P5, P6].

[0134] For example, if the wet weight of the clothing is known to be 1576g, then based on the above information and the corresponding relationship table, the heat loss coefficient can be determined to be 0.25.

[0135] Optionally, this application may use, for example, the following formula to determine the theoretical drying time. Q1 = P * T3 * n

[0136] Where Q1 is the heat demand value, P is the drying power of the clothing processing equipment, T3 is the theoretical drying time, and the heat loss coefficient is n.

[0137] For example, given that the heat demand is 0.080899 kW·h, the drying power is 0.55 kW, and the heat loss coefficient is 0.25, the theoretical drying time T3 can be determined to be 35 min based on the above information.

[0138] S205: During the process of controlling the clothing processing equipment to dry the clothes, the actual amount of condensation in the clothing processing equipment is detected in each of the multiple time periods included in the theoretical drying time.

[0139] The actual condensation amount for each time period refers to the actual total amount of liquid water contained in the clothes that is condensed and collected after evaporation during the drying process within each time period.

[0140] This step involves detecting the actual condensation volume of the garment processing equipment in each of the multiple time periods included in the theoretical drying time. The purpose of this step is to monitor the changes in the condensation volume of the garment processing equipment in each time period during the drying process.

[0141] Understandably, the drying process of clothing processing equipment is a dynamic and continuous process. Therefore, in the actual drying process, continuous monitoring at multiple time intervals can yield a series of specific values ​​for each time interval. These values ​​directly reflect the rate and amount of moisture evaporation in the clothing during each time interval, thus providing detailed information on the dynamic changes in condensation during the drying process.

[0142] S206: If the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and the difference between the theoretical condensate volume and the actual condensate volume in each time period is greater than the second preset value, then the filter of the clothing processing equipment is determined to be clogged.

[0143] The second preset value is used to assess whether the difference between the theoretical condensate volume and the actual condensate volume is significant enough to indicate filter blockage.

[0144] The purpose of determining whether the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and whether the difference between the theoretical condensate volume and the actual condensate volume in each time period is greater than the second preset value, is to determine whether the actual total amount of evaporation and condensation collected in each time period during the drying process of the clothing processing equipment is lower than the estimated total amount in each time period.

[0145] If the actual condensate volume in any time period is not less than the theoretical condensate volume in that time period, and the difference between the theoretical condensate volume and the actual condensate volume in each time period is not greater than the second preset value, it indicates that the actual total amount of evaporation and condensation collected in that time period during the drying process of the clothing processing equipment is lower than the estimated total amount in that time period. At this time, it is possible to continue to determine whether the actual condensate volume in the new time period is less than the theoretical condensate volume in the new time period.

[0146] If the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and the difference between the theoretical condensate volume and the actual condensate volume in each time period is greater than the second preset value, it indicates that the actual total amount of evaporation and condensation collected in each time period during the drying process of the clothing processing equipment is lower than the estimated total amount in each time period. At this time, it can be determined that the filter of the clothing processing equipment is clogged.

[0147] Understandably, filters in garment processing equipment prevent dust, lint, and other impurities from entering the condensation system, ensuring effective condensation. If the filter becomes clogged, it will affect airflow, leading to decreased drying efficiency, meaning that the moisture evaporated from the clothes cannot be fully collected by the condensation system.

[0148] Therefore, when the actual condensate volume is significantly lower than the theoretical condensate volume in all time periods, and the difference exceeds the second preset value, this usually means that although the garment processing equipment is working, the actual evaporation and condensation of water collected is far less than expected due to some reason (such as filter blockage). Therefore, in this case, it is reasonable to infer that the filter may be blocked.

[0149] The filter detection method for the garment processing equipment provided in this embodiment first determines the moisture content and water content of the garments based on a preset correspondence, equipment information, and garment information. Then, based on the moisture content, garment temperature, and water vapor terminal temperature, the required heat value for the drying process is determined. Next, based on the heat requirement value, drying power, and heat loss coefficient, the theoretical drying time and the theoretical condensate volume corresponding to each time period are further calculated. During the actual drying process, the actual condensate volume is detected one by one for each time period of the theoretical drying time and compared with the theoretical value. If the actual condensate volume for each time period is found to be significantly lower than the theoretical value, and the difference exceeds a preset threshold, it is determined that the filter of the garment processing equipment is clogged. This method not only ensures the normal operation of the garment processing equipment during the drying process but also avoids the reduction in drying efficiency caused by filter clogging, thereby improving the overall performance of the garment processing equipment and ensuring the high efficiency and thoroughness of garment drying, bringing users a more convenient and satisfactory user experience.

[0150] Figure 3 The flowchart of the filter detection method for the garment processing equipment provided in this embodiment Figure 3 The executing entity in this embodiment can be, for example, the control device of a garment processing equipment. Figure 3 As shown. This embodiment provides another implementation method for filter detection in clothing processing equipment, specifically including:

[0151] S301: After the dehydration stage is completed, the moisture content of the clothes is determined based on the preset correspondence between the inner drum diameter, rotation speed, and clothing material and the moisture content, as well as the clothing material in the clothing information. The equipment information includes the inner drum diameter and the rotation speed of the dehydration stage, and the clothing information includes the clothing material, the wet weight of the clothes after the dehydration stage, and the clothing temperature.

[0152] S302: Determine the moisture content of clothing based on moisture content and wet weight of clothing.

[0153] S303: Determine the heat demand value based on moisture content, clothing temperature, and water vapor terminal temperature.

[0154] S304: Based on the heat demand, the drying power of the garment processing equipment, and the heat loss coefficient, determine the theoretical drying time and the corresponding theoretical condensation. The theoretical drying time includes multiple consecutive time periods, and the theoretical condensation includes the theoretical condensation corresponding to each time period.

[0155] S305: During the process of controlling the clothing processing equipment to dry clothes, the actual condensation amount of the clothing processing equipment is detected in each of the multiple time periods included in the theoretical drying time.

[0156] The explanation of step S305 is the same as that in the above embodiments, and will not be repeated here.

[0157] S306: Fit the theoretical condensate volume corresponding to each of the multiple time periods to a theoretical condensate volume curve, and fit the actual condensate volume corresponding to each of the multiple time periods to an actual condensate volume curve.

[0158] By fitting the theoretical condensate volume corresponding to multiple time periods to a theoretical condensate volume curve, a continuous and smooth ideal drying effect model can be obtained. This model can reflect the theoretical condensate volume change trend in different time periods during the drying process.

[0159] By fitting the actual condensate volume corresponding to multiple time periods to the actual condensate volume curve, a continuous and smooth drying effect model can be obtained. This model can reflect the actual condensate volume change trend in different time periods during the drying process.

[0160] S307: If the values ​​of the actual condensate flow curves are all less than the values ​​of the corresponding theoretical condensate flow curves, then the filter of the garment processing equipment is clogged.

[0161] The purpose of determining whether the values ​​of the actual condensation volume curves are all less than the values ​​of the corresponding theoretical condensation volume curves is to determine whether the actual effect of the clothing processing equipment in the drying process has achieved the ideal effect.

[0162] If the values ​​of the actual condensation curves are all less than the values ​​of the corresponding theoretical condensation curves, it indicates that the actual effect of the garment processing equipment in the drying process has not reached the ideal effect. In this case, it can be determined that the filter of the garment processing equipment is clogged.

[0163] Understandably, the theoretical condensation curve is a predictive benchmark built on ideal conditions, used to measure the ideal state of condensation during the drying process; while the actual condensation curve directly reflects the condensation performance of the garment processing equipment in actual operation.

[0164] In addition, the filter is responsible for filtering out impurities and lint from the air during the drying process, ensuring that hot air can circulate smoothly and come into full contact with the clothes, thereby effectively removing moisture from the clothes.

[0165] Therefore, when it is determined that the values ​​of the actual condensate volume curves are all less than the corresponding theoretical condensate volume curves, it can be concluded that the actual amount of water removed during the drying process is less than the theoretical expectation, and thus it can be inferred that the filter of the clothing processing equipment may have a clogging problem.

[0166] The filter detection method for the garment processing equipment provided in this embodiment first calculates the moisture content and water content of the garments using a preset correspondence, equipment information, and garment information. Then, based on the moisture content, garment temperature, and water vapor terminal temperature, the required heat for drying is determined. Next, according to the heat requirement, drying power, and heat loss coefficient, the theoretical drying time and the theoretical condensate volume for each time period are calculated. During the drying process, the actual condensate volume is measured segment by segment according to the theoretical drying time, and these actual condensate volumes are fitted to curves with the theoretical values ​​for comparison. If the actual condensate volume curve is lower than the theoretical condensate volume curve throughout, it is determined that the filter of the garment processing equipment is clogged. This method effectively avoids the problem of low drying efficiency caused by filter clogging, thereby preventing damage to the garment processing equipment and ensuring the normal operation and efficient drying capacity of the garment processing equipment.

[0167] Figure 4 This is a schematic diagram of the filter detection device for the garment processing equipment provided in this application. Figure 4 As shown, this application provides a filter detection device for a garment processing equipment. The filter detection device 400 for the garment processing equipment includes:

[0168] The determination module 401 is used to determine the heat demand value of the drying stage after the dehydration stage is completed, based on the clothing information, the equipment information of the clothing processing equipment, and the final temperature of water vapor after the dehydration stage is completed.

[0169] The determining module 401 is also used to determine the theoretical drying time and the corresponding theoretical condensation amount of the clothing based on the heat demand value.

[0170] The detection module 402 is used to detect the actual amount of condensation in the clothing processing equipment within the theoretical drying time during the process of controlling the clothing processing equipment to dry the clothing.

[0171] The determining module 401 is also used to determine whether the filter of the clothing processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume.

[0172] Optionally, the determining module 401 is further configured to determine the moisture content of the clothing based on the preset correspondence between the inner cylinder diameter, rotation speed, clothing material and moisture content, as well as the clothing material in the clothing information.

[0173] The determining module 401 is further configured to determine the moisture content of the clothing based on the moisture content and the wet weight of the clothing;

[0174] The determining module 401 is specifically used to determine the heat demand value based on the moisture content, the clothing temperature, and the water vapor temperature.

[0175] Optionally, the determining module 401 is specifically used to determine the theoretical drying time and the corresponding theoretical condensation amount based on the heat demand value, the drying power of the clothing processing equipment, and the heat loss coefficient.

[0176] Optionally, the determining module 401 is specifically used to determine that the filter of the clothing processing equipment is clogged when the actual condensate volume is less than the theoretical condensate volume and the difference between the theoretical condensate volume and the actual condensate volume is greater than a first preset value.

[0177] Optionally, the detection module 402 is specifically used to detect the actual amount of condensation in the clothing processing equipment during each of the multiple time periods included in the theoretical drying time.

[0178] Optionally, the determining module 401 is specifically used to determine that the filter of the clothing processing equipment is clogged if, for a consecutive preset number of time periods, the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and the difference between the theoretical condensate volume in each time period and the actual condensate volume in each time period is greater than a second preset value.

[0179] Optionally, the device module further includes: a fitting module 403.

[0180] The fitting module 403 is used to fit the theoretical condensate volume corresponding to each of the multiple time periods into a theoretical condensate volume curve, and to fit the actual condensate volume corresponding to each of the multiple time periods into an actual condensate volume curve.

[0181] The determining module 401 is specifically used to determine that the filter of the clothing processing equipment is clogged when the values ​​of the actual condensate flow curves are all less than the values ​​of the corresponding theoretical condensate flow curves.

[0182] Figure 5 This is a schematic diagram of the filter detection device for the garment processing equipment provided in this application. Figure 5 As shown, this application provides a filter detection device for a garment processing equipment. The filter detection device 500 for the garment processing equipment includes: a receiver 501, a transmitter 502, a processor 503, and a memory 504.

[0183] Receiver 501 is used to receive instructions and data;

[0184] Transmitter 502 is used to send commands and data;

[0185] Memory 504 is used to store instructions executed by the computer;

[0186] The processor 503 is used to execute computer execution instructions stored in the memory 504 to implement the various steps of the filter detection method of the clothing processing device in the above embodiments. For details, please refer to the relevant descriptions in the foregoing embodiments of the filter detection method of the clothing processing device.

[0187] Optionally, the memory 504 can be either standalone or integrated with the processor 503.

[0188] When the memory 504 is set up independently, the electronic device also includes a bus for connecting the memory 504 and the processor 503.

[0189] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the filter detection method of the garment processing equipment as described above.

[0190] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0191] The technical solutions of this application have been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it is readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. The above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for detecting filters in a garment processing device, characterized in that, include: After the dehydration stage is completed, the heat requirement for the drying stage is determined based on the clothing information, the equipment information of the clothing processing equipment, and the final temperature of the water vapor after the dehydration stage. Based on the heat demand value, the theoretical drying time and corresponding theoretical condensation amount of the clothing are determined; During the process of controlling the clothing processing equipment to dry the clothing, the actual amount of condensation in the clothing processing equipment within the theoretical drying time is detected; Based on the theoretical condensate volume and the actual condensate volume, determine whether the filter of the clothing processing equipment is clogged.

2. The method according to claim 1, characterized in that, The equipment information includes the inner cylinder diameter and the rotation speed during the dehydration stage; the clothing information includes the clothing material, the wet weight of the clothing after the dehydration stage, and the clothing temperature. The determination of the heat requirement for the drying stage based on clothing information, equipment information of the clothing processing equipment, and the final temperature of water vapor after the dehydration stage includes: Based on the preset correspondence between the inner cylinder diameter, rotation speed, clothing material and moisture content, as well as the clothing material in the clothing information, the moisture content of the clothing is determined. Based on the moisture content and the wet weight of the garment, the moisture content of the garment is determined; The heat requirement value is determined based on the moisture content, the temperature of the clothing, and the final temperature of the water vapor.

3. The method according to claim 2, characterized in that, The step of determining the theoretical drying time and corresponding theoretical condensation amount of the clothing based on the heat demand value includes: Based on the heat demand value, the drying power of the clothing processing equipment, and the heat loss coefficient, the theoretical drying time and the corresponding theoretical condensation amount are determined.

4. The method according to claim 1, characterized in that, Determining whether the filter of the garment processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume includes: If the actual condensate volume is less than the theoretical condensate volume, and the difference between the theoretical condensate volume and the actual condensate volume is greater than a first preset value, then the filter of the clothing processing equipment is determined to be clogged.

5. The method according to claim 1, characterized in that, The theoretical drying time includes multiple consecutive time periods, and the theoretical condensate volume includes the theoretical condensate volume corresponding to each of the time periods. The detection of the actual condensation amount of the garment processing equipment within the theoretical drying time includes: According to the multiple time periods included in the theoretical drying time, the actual condensation amount of the clothing processing equipment in each of the time periods is detected.

6. The method according to claim 5, characterized in that, Determining whether the filter of the garment processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume includes: For a consecutive preset number of time periods, if the actual condensate volume in each time period is less than the theoretical condensate volume in each time period, and the difference between the theoretical condensate volume and the actual condensate volume in each time period is greater than a second preset value, then the filter of the clothing processing equipment is determined to be clogged.

7. The method according to claim 5, characterized in that, Determining whether the filter of the garment processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume includes: The theoretical condensate volume corresponding to each of the multiple time periods is fitted into a theoretical condensate volume curve, and the actual condensate volume corresponding to each of the multiple time periods is fitted into an actual condensate volume curve. If the values ​​of the actual condensate flow curves are all less than the values ​​of the corresponding theoretical condensate flow curves, then the filter of the clothing processing equipment is determined to be clogged.

8. A filter detection device for a garment processing equipment, characterized in that, include: The determination module is used to determine the heat demand value for the drying stage after the dehydration stage is completed, based on the clothing information, the equipment information of the clothing processing equipment, and the final temperature of the water vapor after the dehydration stage is completed. The determining module is also used to determine the theoretical drying time and corresponding theoretical condensation amount of the clothing based on the heat demand value. The detection module is used to detect the actual amount of condensation in the clothing processing equipment during the theoretical drying time while controlling the clothing processing equipment to dry the clothing. The determining module is also used to determine whether the filter of the clothing processing equipment is clogged based on the theoretical condensate volume and the actual condensate volume.

9. A filter testing device for a garment processing equipment, characterized in that, include: Memory; processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the filter detection method of the garment processing device as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer execution instructions, which, when executed by a processor, are used to implement the filter detection method of the clothing processing device as described in any one of claims 1-7.

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