Filter abnormality detection method, device, medium and clothing processing equipment

Abstract

The present disclosure relates to a filter anomaly detection method, device, medium, and clothing processing equipment. The method is applied to filter anomaly detection in clothing processing equipment and includes: performing temperature control after confirming that target detection conditions are met; wherein, when the target detection conditions are met, it is determined that the conditions have been met to eliminate factors affecting filter anomaly detection; obtaining the actual temperature based on a temperature measuring device after the temperature control continues for a preset period of time or in real time during the temperature control process; and judging whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration. After eliminating the factors affecting the filter anomaly detection, the temperature of the space inside the drum is then controlled, and based on the comparison result of the actual temperature and the theoretical temperature, judging whether the filter is abnormal, thereby improving the accuracy of the judgment.

Description

Technical Field

[0001] The present disclosure relates to the technical field of clothing processing equipment, and in particular to a filter abnormality detection method, device, medium and clothing processing equipment. Background Art

[0002] As people's living standards continue to improve, they often use dryers or other clothing processing equipment to dry clothes. During the use of clothing processing equipment, lint from clothes will accumulate in the filter. In severe cases, it will cause the air inside the clothing processing equipment to be difficult to flow, the air volume will be greatly attenuated, energy consumption will increase, and drying efficiency will decrease. Therefore, the filter needs to be cleaned regularly. However, if the user does not clean the filter, a prompt to clean the filter will usually not pop up; in related technologies, without adding external sensors, whether the filter is abnormal can only be determined by temperature, but the temperature is affected by many factors such as ambient temperature, load conditions, and equipment conditions. Directly judging filter abnormalities by temperature changes can easily cause false alarms. Summary of the Invention

[0003] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a filter abnormality detection method, device, medium and clothing processing equipment.

[0004] The present disclosure provides a filter abnormality detection method, which is applied to filter abnormality detection in a clothes processing device, and the method comprises:

[0005] After confirming that the target detection conditions are met, temperature control is performed; wherein, when the target detection conditions are met, it is confirmed that the factors affecting the abnormality detection of the filter are eliminated;

[0006] After the temperature control continues for a preset period of time or in real time during the temperature control process, the actual temperature is obtained based on the temperature measuring device;

[0007] Based on the actual temperature and the theoretical temperature corresponding to the temperature control duration, it is determined whether the filter is abnormal.

[0008] Optionally, judging whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration includes:

[0009] Based on the theoretical temperature, determining a reference temperature range;

[0010] Determining whether the actual temperature is within the reference temperature range;

[0011] If the actual temperature is within the reference temperature range, it is determined that the filter is normal;

[0012] If the actual temperature is not within the reference temperature range, it is determined that the filter is abnormal.

[0013] Optionally, the method further comprises: determining the theoretical temperature based on the duration of the temperature control and the actual measured temperature at the start of the temperature control;

[0014] The determining of the reference temperature range based on the theoretical temperature includes:

[0015] Based on the theoretical temperature, subtracting the first preset error temperature to obtain a theoretical temperature lower limit value; and based on the theoretical temperature, adding the second preset error temperature to obtain a theoretical temperature upper limit value;

[0016] The reference temperature range is defined based on the theoretical temperature lower limit value and the theoretical temperature upper limit value.

[0017] Optionally, if the actual temperature is not within the reference temperature range, determining that the filter is abnormal includes:

[0018] If the actual temperature is greater than the theoretical temperature upper limit, it is determined that the filter abnormality is an installation abnormality;

[0019] If the actual temperature is lower than the lower limit of the theoretical temperature, it is determined that the filter abnormality is a dirty or blocked abnormality.

[0020] Optionally, the confirming that a target detection condition is met includes:

[0021] Obtain the laundry load in the drum corresponding to the filter;

[0022] When it is determined based on the laundry load that there is no laundry in the drum, confirming that a target detection condition is satisfied;

[0023] And / or, the confirmation that the target detection condition is met includes:

[0024] obtaining the actual temperature;

[0025] When it is determined based on the actual temperature that the actual temperature is within a preset temperature range, it is determined that a target detection condition is met.

[0026] Optionally, the method further includes:

[0027] When it is determined that the actual temperature is higher than the upper temperature threshold corresponding to the preset temperature range, the actual temperature is lowered to within the preset temperature range based on the temperature control device.

[0028] Optionally, the laundry processing device is further configured to execute a drum self-cleaning program; the drum self-cleaning program includes a timed cold air section and a timed hot air section; in the method:

[0029] The determining that there is no clothing in the drum includes: confirming the execution of the drum self-cleaning program;

[0030] The lowering of the actual temperature to within the preset temperature range based on the temperature control device includes: executing the timed cold air section in the drum self-cleaning program;

[0031] The temperature control includes: executing the timed hot air section in the drum self-cleaning program.

[0032] The present disclosure also provides a filter abnormality detection device, the device comprising:

[0033] A temperature control module is used to control the temperature after confirming that the target detection conditions are met; wherein, when the target detection conditions are met, it is determined that the factors affecting the abnormality detection of the filter are eliminated;

[0034] An acquisition module is used to acquire the actual temperature based on the temperature measuring device in real time after the temperature control continues for a preset period of time or during the temperature control process;

[0035] The judgment module is used to judge whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration.

[0036] The present disclosure also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of any of the above methods.

[0037] The present disclosure also provides a clothes processing device, comprising: a memory and a processor;

[0038] The memory stores executable programs or instructions;

[0039] The processor runs the program or instructions to implement the steps of any one of the above methods.

[0040] The technical solution provided by the present disclosure has the following advantages compared with the existing technology:

[0041] The present disclosure provides a filter abnormality detection method, device, medium, and clothing processing equipment. The method is applied to filter abnormality detection in clothing processing equipment, including: performing temperature control after confirming that the target detection conditions are met; wherein, when the target detection conditions are met, it is determined that the factors affecting the filter abnormality detection are eliminated; after the temperature control continues for a preset period of time or in real time during the temperature control process, the actual temperature is obtained based on the temperature measuring device; based on the actual temperature and the theoretical temperature corresponding to the temperature control duration, whether the filter is abnormal is determined. In this way, after eliminating the factors affecting the filter abnormality detection, the temperature of the space inside the drum is controlled, and based on the comparison result of the actual temperature and the theoretical temperature, whether the filter is abnormal is determined, thereby improving the accuracy of the judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0043] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0044] Figure 1 A flowchart of a filter abnormality detection method provided by an embodiment of the present disclosure;

[0045] Figure 2 for Figure 1 A detailed flow chart of S103 in the filter abnormality detection method shown;

[0046] Figure 3 for Figure 1 Another detailed flow chart of S103 in the filter abnormality detection method shown;

[0047] Figure 4 for Figure 1 A detailed flow chart of "confirming that target detection conditions are met" in the filter anomaly detection method shown;

[0048] Figure 5 for Figure 4 A detailed flow diagram of S403 to S404 in “Confirming that target detection conditions are met” is shown;

[0049] Figure 6 for Figure 1 A detailed flow chart of S101 in the filter abnormality detection method shown;

[0050] Figure 7 A schematic flow chart of another filter abnormality detection method provided by an embodiment of the present disclosure;

[0051] Figure 8 A schematic structural diagram of a filter abnormality detection device provided in an embodiment of the present disclosure;

[0052] Figure 9 A structural schematic diagram of a clothing processing device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0053] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features therein can be combined with each other in the absence of conflict.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0055] In related technologies, temperature is usually used to determine whether the filter is dirty or clogged. However, since temperature is affected by many factors such as ambient temperature, load conditions, and equipment conditions, there is a high probability of false alarms.

[0056] To this end, the embodiments of the present disclosure provide a filter abnormality detection method, device, medium, and clothing processing equipment. The method is applied to filter abnormality detection in clothing processing equipment, including: after confirming that the target detection conditions are met, temperature control is performed; wherein, when the target detection conditions are met, it is confirmed that the factors affecting the filter abnormality detection are eliminated; after the temperature control continues for a preset period of time or in real time during the temperature control process, the actual temperature is obtained based on the temperature measuring device; based on the actual temperature and the theoretical temperature corresponding to the temperature control duration, whether the filter is abnormal is judged. In this way, after eliminating the factors affecting the filter abnormality detection results, the temperature of the space inside the drum is controlled, and based on the comparison result of the actual temperature and the theoretical temperature, whether the filter is abnormal is judged, thereby improving the accuracy of the judgment.

[0057] The following is combined with Figures 1-9 , a filter abnormality detection method, device, medium and clothing processing equipment provided by the embodiments of the present disclosure are exemplarily described.

[0058] Figure 1 This is a flow chart of a filter anomaly detection method provided by an embodiment of the present disclosure. Figure 1 The method is applied to filter abnormality detection in a clothing processing device, comprising:

[0059] S101: After confirming that the target detection conditions are met, perform temperature control.

[0060] In this embodiment, when the target detection conditions are met, it is determined that the factors affecting filter abnormality detection are eliminated; the influencing factors include at least ambient temperature and load conditions, and also include other influencing factors known to those skilled in the art, which are not limited here.

[0061] In this embodiment, the temperature of the space within the drum of the clothing processing device is controlled by a temperature control device, which may be heating or heat dissipation. The temperature control device may be any temperature control device known to those skilled in the art and is not limited here. The clothing processing device is provided with an air duct, both ends of which are open to the processing drum. The temperature control device is installed in the air duct. One end of the air duct opens to blow air into the drum, creating a negative pressure within the duct, while the other end opens to draw air from the drum into the duct, thereby circulating the air within the drum to achieve temperature control of the space within the drum.

[0062] S102 : After the temperature control continues for a preset period of time or in real time during the temperature control process, the actual temperature is obtained based on the temperature measuring device.

[0063] In this embodiment, the actual temperature of the space inside the cylinder is obtained by a temperature measuring device. The temperature measuring device can be set as a thermometer or a temperature sensor, or set as other temperature measuring devices or temperature measuring instruments known to those skilled in the art, which is not limited here.

[0064] In this embodiment, there is no limitation on the installation position of the temperature measuring device, and it can be adaptively set according to the requirements of the filter abnormality detection method. For example, it can be installed at a position within a preset distance range behind the filter, so that the measured temperature is as close as possible to the actual temperature near the filter, thereby ensuring the accuracy of the measurement results.

[0065] The conditions for obtaining the actual temperature are: (1) after the temperature control starts and the temperature control continues for a preset period of time; (2) during the temperature control process, the actual temperature is measured in real time. The temperature measuring device can be set as a thermometer or temperature sensor, or as other temperature measuring devices or temperature measuring instruments known to those skilled in the art, which are not limited here.

[0066] S103: Determine whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration.

[0067] In this embodiment, the determination results include filter abnormality and filter normality; filter abnormality includes at least dirty or blocked abnormality and installation abnormality (not installed).

[0068] In this embodiment, the theoretical temperature is related to the actual measured temperature T1 at the start of temperature control and the duration time of temperature control. The correspondence between the theoretical temperature and the actual measured temperature T1 at the start of temperature control and the duration time of temperature control is obtained through temperature control experiments, and a fitting function f(T1, time) is used; based on the actual measured temperature T1 at the start of temperature control and the duration time of temperature control, the theoretical temperature can be calculated through f(T1, time); for example, f(T1, time) = actual measured temperature at the start of temperature control + k × duration of temperature control, where k is the slope of the theoretical temperature change curve, that is, the temperature change rate; when the temperature control method is heating, the temperature change rate (that is, the slope k) is a positive number, and the temperature of the space inside the cylinder increases; when the temperature control method is heat dissipation, the temperature change rate (that is, the slope k) is a negative number, and the temperature of the space inside the cylinder decreases.

[0069] During the operation of the clothing processing equipment, if the filter is clogged or not installed, the airflow rate of the air circulating in the filter will decrease or increase accordingly. The circulating airflow rate will affect the temperature change rate during the temperature control process. If the circulating airflow rate decreases, the temperature change rate decreases, and if the circulating airflow rate increases, the temperature change rate increases. The decrease or increase in the temperature change rate causes a difference between the actual temperature and the theoretical temperature. Based on the difference between the actual temperature and the theoretical temperature, it is determined whether the filter is abnormal. For example, if the temperature control method is heating, after the temperature control device has been running for a preset time, the corresponding theoretical temperature is 50°C. If the actual temperature is 40°C, the actual temperature is lower than the theoretical temperature, that is, the temperature change rate decreases, the airflow rate of the air circulating in the filter decreases accordingly, and the filter is determined to be abnormal, specifically, clogged. If the actual temperature is 60°C, the actual temperature is higher than the theoretical temperature, that is, the temperature change rate increases, the airflow rate of the air circulating in the filter increases accordingly, and the filter is determined to be abnormal, specifically, an installation abnormality (not installed). Alternatively, the temperature control method is heat dissipation. After the temperature control device has been running for a preset time, the corresponding theoretical temperature is 50°C. If the actual temperature is 40°C, the actual temperature is lower than the theoretical temperature, the corresponding temperature change rate increases, and the air flow rate of air circulating in the filter increases accordingly. The filter is judged to be abnormal, specifically, an installation abnormality (not installed); if the actual temperature is 60°C, the actual temperature is higher than the theoretical temperature, the corresponding temperature change rate decreases, and the air flow rate of air circulating in the filter decreases accordingly. The filter is judged to be abnormal, specifically, a dirty and blocked abnormality.

[0070] It should be noted that the present embodiment merely illustrates the theoretical temperature calculation formula: f(T1, time) = actual measured temperature at the start of temperature control + k × duration of temperature control. This does not limit the filter anomaly detection method provided in the present embodiment. In other embodiments, the theoretical temperature may be obtained using other formulas or methods known to those skilled in the art, and is not limited here.

[0071] The disclosed embodiment provides a method for detecting filter abnormality, which is applied to filter abnormality detection in clothing processing equipment, including: performing temperature control after confirming that the target detection conditions are met; wherein, when the target detection conditions are met, it is determined that the factors affecting the detection of filter abnormality are eliminated; after the temperature control continues for a preset period of time or in real time during the temperature control process, the actual temperature is obtained based on a temperature measuring device; based on the actual temperature and the theoretical temperature corresponding to the temperature control duration, whether the filter is abnormal is determined. In this way, after eliminating the factors affecting the detection of filter abnormality, the temperature of the space inside the drum is controlled, and based on the comparison result of the actual temperature and the theoretical temperature, whether the filter is abnormal is determined, thereby improving the accuracy of the judgment.

[0072] In one embodiment, Figure 2 As shown, Figure 1 A detailed flow chart of S103 in the filter abnormality detection method shown in FIG. Figure 2 "Based on the actual temperature and the theoretical temperature corresponding to the temperature control duration, determine whether the filter is abnormal", including:

[0073] S201. Determine a reference temperature range based on the theoretical temperature.

[0074] In this embodiment, the reference temperature range is a temperature interval, including a lower limit temperature value and an upper limit temperature value; the lower limit temperature value is equal to the difference between the theoretical temperature and the allowable error temperature, and the upper limit temperature value is equal to the sum of the theoretical temperature and the allowable error temperature, that is, the reference temperature range is [theoretical temperature - allowable error temperature, theoretical temperature + allowable error temperature]; the allowable error temperature can be set as an absolute temperature, for example, if the theoretical temperature is 50°C and the allowable error temperature is 10°C, then the reference temperature range is 50±10°C; the allowable error temperature can also be set as a relative temperature, for example, if the theoretical temperature is 50°C and the allowable error temperature is 20% of the theoretical temperature, then the reference temperature range is 50×(1±20%)°C.

[0075] S202: Determine whether the actual temperature is within the reference temperature range.

[0076] Specifically, the actual temperature is compared with the reference temperature range. If the actual temperature is within the reference temperature range, the judgment result is yes, then S203 is executed to determine that the filter is normal; if the actual temperature is not within the reference temperature range, that is, the actual temperature is lower than the lower limit temperature value of the reference temperature or the actual temperature is higher than the upper limit temperature value of the reference temperature, the judgment result is no, then S204 is executed to determine that the filter is abnormal.

[0077] In one embodiment, Figure 3 As shown, Figure 1 Another detailed flow chart of S103 in the filter abnormality detection method shown in FIG. Figure 3 , the method further comprises:

[0078] S301 : Determine a theoretical temperature based on the duration of the temperature control and the actual measured temperature at the start of the temperature control.

[0079] In this embodiment, the corresponding relationship between the theoretical temperature and the actual measured temperature T1 at the start of temperature control and the duration time of temperature control is obtained through temperature control experiments, and the fitting function f(T1, time) is used; based on the actual measured temperature T1 at the start of temperature control and the duration time of temperature control, the theoretical temperature can be calculated through f(T1, time). For example, if the temperature is increased or decreased at a uniform rate during the temperature control process, that is, the temperature change rate k is a constant, the expression of the function f(T1, time) is: f(T1, time) = T1 + k × time. After obtaining the duration time of temperature control and the actual measured temperature T1, the theoretical temperature can be calculated; if the temperature is increased or decreased at a non-uniform rate during the temperature control process, the duration time of temperature control is divided into n minimum unit time lengths Δt, and the corresponding temperature change rate is k. i , i=1, 2, ... n; n is a positive integer and n≥2, the expression of the function f(T1, time) is: After obtaining the temperature control duration time and the actual measured temperature T1, the theoretical temperature can be calculated.

[0080] "Based on theoretical temperature, determine the reference temperature range", including:

[0081] S302 : Based on the theoretical temperature, subtract the first preset error temperature to obtain a theoretical temperature lower limit value; and based on the theoretical temperature, add the second preset error temperature to obtain a theoretical temperature upper limit value.

[0082] S303: Based on the theoretical temperature lower limit value and the theoretical temperature upper limit value, limit the reference temperature range.

[0083] In this embodiment, the first preset error temperature and the second preset error temperature are both allowable error temperatures, and the two may be equal or different, which is not limited here.

[0084] The theoretical temperature lower limit is equal to the difference between the theoretical temperature and the first preset error temperature, and the theoretical temperature upper limit is equal to the sum of the theoretical temperature and the second preset error temperature. The first and second preset error temperatures can be set as absolute or relative temperatures. For example, if the theoretical temperature is 50°C and the first and second preset error temperatures are equal and both set to 10°C, then the theoretical temperature lower limit = 50 - 10 = 40°C, and the theoretical temperature upper limit = 50 + 10 = 60°C. The reference temperature range is [40°C, 60°C], which can also be expressed as 50 ± 10°C. If the first and second preset error temperatures are equal and both set to 20%, then the theoretical temperature lower limit = 50 - 50 × 20% = 40°C, and the theoretical temperature upper limit = 50 + 50 × 20% = 60°C. The reference temperature range is [40°C, 60°C], which can also be expressed as 50 × (1 ± 20%)°C.

[0085] In one embodiment, Figure 3 As shown, "if the actual temperature is not within the reference temperature range, the filter is determined to be abnormal", including: judging whether the actual temperature is greater than the theoretical temperature upper limit (i.e. S306); if the actual temperature is greater than the theoretical temperature upper limit, i.e. the judgment result of S306 is yes, then S307 is executed to determine that the filter abnormality is an installation abnormality; if the actual temperature is not greater than the theoretical temperature upper limit, the judgment result of S306 is no, i.e. the actual temperature is less than the theoretical temperature lower limit, then S308 is executed to determine that the filter abnormality is a dirty or blocked abnormality.

[0086] Specifically, when the actual temperature is not within the reference temperature range, that is, the actual temperature is greater than the theoretical temperature upper limit or the actual temperature is less than the theoretical temperature lower limit, the filter is judged to be abnormal; by further judging the distribution range of the actual temperature, whether it is greater than the theoretical temperature upper limit or less than the theoretical temperature lower limit, the type of filter abnormality is determined. If the actual temperature is greater than the theoretical temperature upper limit, the actual temperature change rate is greater than the theoretical temperature change rate, and the circulating air flow increases, the filter abnormality is judged to be an installation abnormality, and the filter is not installed; if the actual temperature is less than the theoretical temperature lower limit, the actual temperature change rate is less than the theoretical temperature change rate, and the circulating air flow decreases, the filter abnormality is judged to be a dirty and blocked abnormality, and the filter needs to be cleaned.

[0087] For example, Figure 3 As shown, in this method, through S301 to S303 , it is determined that the reference temperature range is [theoretical temperature−first preset error temperature, theoretical temperature+second preset error temperature], and then S304 is executed.

[0088] S304: Determine whether the actual temperature is within the reference temperature range.

[0089] In this embodiment, if the actual temperature is within the reference temperature range, that is, the lower limit value of the theoretical temperature < the actual temperature < the upper limit value of the theoretical temperature, the degree to which the actual temperature deviates from the theoretical temperature is small, and the deviation temperature is less than the first preset error temperature and the second preset error temperature, the judgment result is yes, and S305 is executed; if the actual temperature is not within the reference temperature range, that is, the actual temperature < the lower limit value of the theoretical temperature or the actual temperature > the upper limit value of the theoretical temperature, the degree to which the actual temperature deviates from the theoretical temperature is large, and the deviation temperature is greater than the first preset error temperature or the second preset error temperature, the judgment result is no, and S306 is executed.

[0090] S305: Determine whether the filter is normal.

[0091] The filter is judged to be normal and does not need to be cleaned.

[0092] S306: Determine whether the actual temperature is greater than the theoretical temperature upper limit.

[0093] Specifically, when the actual temperature is not within the reference temperature range, the actual temperature is compared with the theoretical temperature upper limit. If the actual temperature is greater than the theoretical temperature upper limit, the judgment result is yes, and S307 is executed; if the actual temperature is not greater than the theoretical temperature upper limit, that is, the actual temperature is less than the theoretical temperature lower limit, the judgment result is no, and S308 is executed.

[0094] S307: Determine that the filter abnormality is an installation abnormality.

[0095] Installation abnormality at least includes the failure to install a filter; compared with the case where the filter is installed, failure to install the filter results in an increase in the circulating airflow, an increase in the temperature change rate during the temperature control process, and a high temperature rise rate, resulting in the actual temperature being greater than the theoretical temperature. Therefore, when the actual temperature is greater than the upper limit of the theoretical temperature, the degree to which the actual temperature deviates from the theoretical temperature is large, and the deviation temperature is greater than the second preset error temperature. The filter abnormality is determined to be an installation abnormality, and the filter is not installed.

[0096] S308: Determine that the filter abnormality is dirty or clogged.

[0097] Compared with the case where the filter is not clogged, the circulating air flow increases when the filter is clogged, the temperature change rate decreases during the temperature control process, and the temperature rise rate is slow, resulting in the actual temperature being lower than the theoretical temperature. Therefore, when the actual temperature is lower than the lower limit of the theoretical temperature, the actual temperature deviates greatly from the theoretical temperature, and the deviation temperature is greater than the first preset error temperature. The filter abnormality is determined to be a clogged abnormality, and the filter needs to be cleaned.

[0098] In one embodiment, Figure 4 As shown, Figure 1 A detailed flow chart of "confirming that the target detection conditions are met" in the filter anomaly detection method shown in FIG. Figure 4, "Confirm that the target detection conditions are met", including:

[0099] S401: Obtain the laundry load in the drum corresponding to the filter.

[0100] In this embodiment, the clothing load in the drum can be obtained by a weight sensor or an infrared sensor, or by other sensors or methods known to those skilled in the art, which are not limited here.

[0101] S402: When it is determined based on the laundry load that there is no laundry in the drum, confirm that a target detection condition is met.

[0102] In this embodiment, the clothing load in the drum is compared with a preset load. When the clothing load is less than or equal to the preset load, it is determined that there is no clothing in the drum, confirming that a target detection condition is met. This can avoid the risk of misjudgment caused by the clothing load.

[0103] The preset load may be set to 0, or to a measurement error value of a sensor used to obtain the clothing load, or to other values ​​known to those skilled in the art, which are not limited here.

[0104] And / or, confirm that the target detection conditions are met, including:

[0105] S403: Obtain actual temperature.

[0106] S404: When it is determined based on the actual temperature that the actual temperature is within a preset temperature range, it is determined that a target detection condition is met.

[0107] In this embodiment, the value of the preset temperature range is: current ambient temperature ± allowable deviation error temperature; the actual temperature is compared with the preset temperature range. When the actual temperature is greater than the current ambient temperature + allowable deviation error temperature, the actual temperature is too high and needs to be cooled. The actual temperature is lowered to within the preset temperature range through the temperature control device. In this way, the problem of misjudgment of filter abnormality detection caused by hot engine conditions is solved.

[0108] It should be noted that during operation, the clothing processing equipment converts electrical energy into kinetic energy and thermal energy, and continuously radiates heat to the outside, so the actual temperature will not be lower than the ambient temperature.

[0109] Since the ambient temperature and clothing load have an impact on the filter abnormality detection results, in order to ensure the accuracy of the detection results, the influence of the ambient temperature and clothing load should be eliminated before abnormality detection; therefore, the target detection conditions are determined to be: (1) there is no clothing in the drum and the clothing load is zero, (2) the actual temperature in the drum is within the preset temperature range; when any one of the target detection conditions is met or both target detection conditions are met at the same time, "temperature control" and subsequent steps are executed.

[0110] It should be noted that S401-S402 and S403-S404 are two parallel step branches. This embodiment does not limit the execution order of the two branches. They can be executed simultaneously, successively, or only one of them can be executed.

[0111] In one embodiment, Figure 5 As shown, Figure 4 A detailed flow chart of S403 to S404 in the "Confirmation of Satisfaction of Target Detection Conditions" is shown. Figure 5 The method further includes: when it is determined that the actual temperature is higher than the upper temperature threshold corresponding to the preset temperature range, lowering the actual temperature to within the preset temperature range based on the temperature control device.

[0112] In this embodiment, when it is determined that the actual temperature is not within the preset temperature range, it is determined that the target detection condition is not met and temperature adjustment is required, specifically: further determine whether the actual temperature is higher than the upper limit temperature threshold corresponding to the preset temperature range (i.e. S504); compare the actual temperature with the upper limit temperature threshold corresponding to the preset temperature range. When the actual temperature is greater than the upper limit temperature threshold corresponding to the preset temperature range, the judgment result of S504 is yes, the actual temperature is too high, which affects the detection result of the filter abnormality. Therefore, the space in the cylinder needs to be cooled, and S505 is executed to reduce the actual temperature to within the preset temperature range.

[0113] For example, Figure 5 As shown, the method includes:

[0114] S501: Obtain actual temperature.

[0115] S502: Determine whether the actual temperature is within a preset temperature range.

[0116] Specifically, the actual temperature is compared with the preset temperature range. When the actual temperature is within the preset temperature range, the determination result is yes, and S503 is executed; when the actual temperature is not within the preset temperature range, the determination result is no yes, and S504 is executed.

[0117] S503: Determine whether a target detection condition is met.

[0118] S504: Determine whether the actual temperature is higher than the upper temperature threshold corresponding to the preset temperature range.

[0119] Specifically, when the actual temperature is not within the preset temperature range, it is further determined whether the actual temperature is higher than the upper limit temperature threshold corresponding to the preset temperature range; the actual temperature is compared with the upper limit temperature threshold. If the actual temperature is greater than the upper limit temperature threshold, the judgment result is yes, the actual temperature is too high, which affects the detection result of the filter abnormality. Therefore, the space in the drum needs to be cooled, and S505 is executed; if the actual temperature is not higher than the upper limit temperature threshold, that is, the actual temperature is less than or equal to the upper limit temperature threshold, but the clothing processing equipment will continuously dissipate heat to the outside during operation. Therefore, under normal circumstances, the actual temperature will not be less than the lower limit temperature threshold corresponding to the preset temperature range. At this time, return to execute S501, continue to obtain the actual temperature, and verify whether the actual temperature measurement result is wrong.

[0120] S505: Lower the actual temperature to within a preset temperature range based on the temperature control device.

[0121] In one embodiment, Figure 6 As shown, Figure 1 A detailed flow chart of S101 in the filter abnormality detection method shown in FIG. Figure 6 The laundry processing device is also used to perform a drum self-cleaning program; the drum self-cleaning program includes a timed cold air section and a timed hot air section. Based on this, in this method:

[0122] S604: Confirm the execution of the drum self-cleaning program.

[0123] In this embodiment, when it is determined that there is no clothing in the drum, the drum self-cleaning program is confirmed to be executed, and it is also confirmed that a target detection condition is met, and the "temperature control" step is executed.

[0124] "Lowering the actual temperature to within the preset temperature range based on the temperature control device" includes:

[0125] S605: Execute the timed cold air section in the drum self-cleaning program.

[0126] In this embodiment, by executing the timed cold air section, the actual temperature in the drum is reduced to the ambient temperature, thereby solving the problem of misjudgment caused by the hot engine condition.

[0127] "Performing temperature control", including:

[0128] S606, executing the timed hot air section in the drum self-cleaning program.

[0129] In this embodiment, after the timed cold air section is completed, the actual temperature in the drum drops to the ambient temperature, and the timed hot air section in the drum self-cleaning program is executed.

[0130] For example, Figure 6 As shown, the method includes:

[0131] S601: Obtain the laundry load in the drum corresponding to the filter.

[0132] Here, this step is the same as S401. Please refer to S401 for details and will not be repeated here.

[0133] S602: Determine whether there are clothes in the drum based on the clothes load.

[0134] Among them, the clothing load in the drum is compared with the preset load. If the clothing load is greater than the preset load, that is, there are clothes in the drum, the judgment result is yes, and S603 is executed; if the clothing load is less than or equal to the preset load, that is, there are no clothes in the drum, the judgment result is no, and S64 is executed.

[0135] S603: Determine whether a target detection condition is not satisfied.

[0136] S604: Confirm the execution of the drum self-cleaning program.

[0137] Among them, when it is determined that there is no clothing in the drum, the drum self-cleaning program is confirmed to be executed, and at the same time, it is confirmed that a target detection condition is met; in this way, there is no clothing in the drum when the drum self-cleaning function is running, which can completely avoid the risk of misjudgment caused by clothing load.

[0138] S605: Execute the timed cold air section in the drum self-cleaning program.

[0139] Among them, during the execution of the drum self-cleaning program, the actual temperature in the drum is reduced to the ambient temperature by executing the timed cold air section, which solves the misjudgment problem caused by the hot engine condition.

[0140] S606, executing the timed hot air section in the drum self-cleaning program.

[0141] Among them, after the timed cold air section is completed, the actual temperature in the barrel is reduced to the ambient temperature, and the timed hot air section in the barrel self-cleaning program is executed to control the temperature of the space inside the barrel.

[0142] It is understandable that Figure 6 The example only shows that the running time of the timed cold air segment is pre-set, and the running time is a constant value (for example, 5 minutes). After the timed cold air segment runs for the pre-set running time, the timed hot air segment is executed, but this does not constitute a limitation on the filter abnormality detection method provided in the embodiment of the present disclosure. In other embodiments, the running time of the cold air segment can be set according to the requirements of the filter abnormality detection method, for example, by measuring the actual temperature in the barrel in real time. When the actual temperature in the barrel is equal to the ambient temperature, the cold air segment is stopped and the timed hot air segment is executed. This is not limited here.

[0143] For example, Figure 7 FIG. 1 is a flow chart of another filter abnormality detection method provided by an embodiment of the present disclosure. Figure 7 , the method comprising:

[0144] S701, start.

[0145] S702, select the drum self-cleaning program.

[0146] Among them, during the execution of the drum self-cleaning program, there is no clothing in the drum, which can completely avoid the risk of misjudgment due to clothing load and meet the conditions for filter abnormality detection.

[0147] S703: Start the program.

[0148] S704, timed steam.

[0149] Among them, timed steam is a part of the barrel self-cleaning program and is not related to filter abnormality detection. It is used to evaporate the remaining water droplets in the barrel.

[0150] S705, timed cold air section.

[0151] Among them, the timed cold air section is executed to reduce the actual temperature in the cylinder to the ambient temperature, solving the misjudgment problem caused by the hot engine condition.

[0152] S706: Collect the actual measured temperature T1.

[0153] Before executing the timed hot air section, the actual measured temperature T1 at the beginning of temperature control is collected by the temperature measuring device.

[0154] S707, timed hot air section, time time.

[0155] Among them, the timed hot air section is executed to control the temperature of the space inside the cylinder to increase the temperature; the execution time of the hot air section is the duration of the temperature control time.

[0156] S708: Collect actual temperature T2.

[0157] The actual temperature T2 is obtained after the hot air section is completed or during the execution.

[0158] S709. Calculate theoretical temperature T3 = f(T1, time).

[0159] The function f(T1, time) is related to the actual measured temperature T1 at the start of temperature control and the duration time of temperature control. The theoretical temperature T3 can be calculated through the function f(T1, time).

[0160] S710. Determine T2>T3+DT1.

[0161] Among them, DT1 is the first preset error temperature, and T3 + DT1 is the theoretical temperature upper limit value; if T2 > T3 + DT1, that is, the actual temperature is greater than the theoretical temperature upper limit value, the degree of deviation of the actual temperature from the theoretical temperature is large, the determination result is yes, and S711 is executed; if T2 ≤ T3 + DT1, that is, the actual temperature is not greater than the theoretical temperature upper limit value, the determination result is no, and S712 is executed.

[0162] S711. Alarm that the filter screen is not installed.

[0163] Specifically, when the actual temperature is greater than the theoretical temperature upper limit value, the degree of deviation of the actual temperature from the theoretical temperature is large, and it is alarmed that the filter screen is not installed. After this step is completed, the process ends.

[0164] S712. Determine whether T2 < T3 - DT2.

[0165] Among them, DT2 is the second preset error temperature, and T3 - DT2 is the theoretical temperature lower limit value; if T2 < T3 - DT2, that is, the actual temperature is less than the theoretical temperature lower limit value, the degree of deviation of the actual temperature from the theoretical temperature is large, the determination result is yes, and S713 is executed; if T2 > T3 - DT2, combined with the determination result of step S710, it is determined that T3 - DT2 < T2 < T3 + DT1, that is, the theoretical temperature lower limit value < the actual temperature < the theoretical temperature upper limit value. Within the reference temperature range, the degree of deviation of the actual temperature from the theoretical temperature is small, and S714 is executed.

[0166] S713. Alarm that the filter screen is dirty and blocked.

[0167] Specifically, when the actual temperature is less than the theoretical temperature lower limit value, the degree of deviation of the actual temperature from the theoretical temperature is large, and it is alarmed that the filter screen is dirty and blocked. After this step is completed, the process ends.

[0168] S714. End.

[0169] Based on the same inventive concept, the embodiments of the present disclosure further provide a filter screen abnormality detection device, which is used to execute the steps of any of the above filter screen abnormality detection methods, and has corresponding beneficial effects. The same parts can be understood by referring to the above, and will not be repeated hereinafter.

[0170] In one embodiment, as Figure 8 shown, the embodiments of the present disclosure further provide a filter screen abnormality detection device, which includes:

[0171] A temperature control module 801, configured to perform temperature regulation after confirming that the target detection conditions are met; wherein, the target detection conditions are to exclude the influencing factors of the filter screen abnormality detection.

[0172] In this embodiment, the influencing factors at least include the environmental temperature and the load condition, and also include other influencing factors known to those skilled in the art, which are not limited herein.

[0173] The acquisition module 802 is configured to acquire the actual temperature based on the temperature measuring device in real time after the temperature control continues for a preset period of time or during the temperature control process.

[0174] In this embodiment, the temperature measuring device can be set as a thermometer or a temperature sensor, or can be set as other temperature measuring devices or temperature measuring instruments known to those skilled in the art, which is not limited here.

[0175] The conditions for obtaining the actual temperature are: (1) after the temperature control starts and continues for a preset time; (2) during the temperature control process, the actual temperature is measured in real time.

[0176] The judgment module 803 is used to judge whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration.

[0177] In this embodiment, the determination results include filter abnormality and filter normality; filter abnormality includes at least dirty or blocked abnormality and installation abnormality (not installed).

[0178] In one embodiment, the judgment module is used to judge whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the duration of temperature control, including: determining a reference temperature range based on the theoretical temperature; judging whether the actual temperature is within the reference temperature range; if the actual temperature is within the reference temperature range, judging that the filter is normal; if the actual temperature is not within the reference temperature range, judging that the filter is abnormal.

[0179] In one embodiment, the judgment module is also used to determine the theoretical temperature based on the duration of the temperature control and the actual measured temperature at the beginning of the temperature control; the judgment module is used to determine the reference temperature range based on the theoretical temperature, including: based on the theoretical temperature, subtracting the first preset error temperature to obtain the lower limit value of the theoretical temperature; and based on the theoretical temperature, adding the second preset error temperature to obtain the upper limit value of the theoretical temperature; based on the lower limit value of the theoretical temperature and the upper limit value of the theoretical temperature, limiting the reference temperature range.

[0180] In one embodiment, if the actual temperature is not within the reference temperature range, the filter is determined to be abnormal, including: if the actual temperature is greater than the theoretical temperature upper limit, the filter abnormality is determined to be an installation abnormality; if the actual temperature is less than the theoretical temperature lower limit, the filter abnormality is determined to be a dirty or blocked abnormality.

[0181] In one embodiment, the judgment module is also used to confirm whether the target detection condition is met; confirming that the target detection condition is met includes: obtaining the clothing load in the drum corresponding to the filter through the acquisition module; the judgment module is used to determine that a target detection condition is met when there is no clothing in the drum based on the clothing load; and / or, confirming that the target detection condition is met includes: obtaining the actual temperature through the acquisition module; the judgment module is used to determine that a target detection condition is met when the actual temperature is within a preset temperature range based on the actual temperature.

[0182] In one embodiment, when the judgment module determines that the actual temperature is higher than the upper temperature threshold corresponding to the preset temperature range, the acquisition module is used to reduce the actual temperature to within the preset temperature range based on the temperature control device.

[0183] In one embodiment, the clothing processing device is also used to execute a drum self-cleaning program; the drum self-cleaning program includes a timed cold air section and a timed hot air section; the judgment module is used to determine that there is no clothing in the drum, including: confirming the execution of the drum self-cleaning program; the acquisition module is used to reduce the actual temperature to a preset temperature range based on the temperature control device, including: executing the timed cold air section in the drum self-cleaning program; the acquisition module is used to perform temperature control, including: executing the timed hot air section in the drum self-cleaning program.

[0184] In this way, by executing the drum self-cleaning program when there is no clothing in the drum, and executing the timed cold air section to reduce the actual temperature in the drum to the ambient temperature, the influence of clothing load and ambient temperature on the detection results is eliminated, the risk of misjudgment caused by clothing load can be completely avoided, the conditions for filter abnormality detection are met, and the detection accuracy is improved.

[0185] On the basis of the above implementation mode, Figure 9 FIG. 1 is a structural diagram of a clothes processing device provided by an embodiment of the present disclosure. Figure 9 The clothing processing device 900 includes: a memory 901 and a processor 902; the memory 901 stores executable programs or instructions; the processor 902 runs the programs or instructions to implement the steps of any of the above methods, which has corresponding beneficial effects. To avoid repeated description, they will not be repeated here.

[0186] The processor 902 may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the computer to perform desired functions.

[0187] The memory 901 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 902 may execute the program instructions to implement the method steps of the various embodiments of the present application described above and / or other desired functions.

[0188] In addition to the above-mentioned methods and apparatuses, embodiments of the present application may also be a computer program product, which includes computer program instructions, and when the computer program instructions are executed by a processor, the processor is caused to perform the method steps of various embodiments of the present application.

[0189] The computer program product may be written in any combination of one or more programming languages ​​to implement the operations of embodiments of the present invention, including object-oriented programming languages ​​such as Java, C++, and conventional procedural programming languages ​​such as C or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's computing device, as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0190] On the basis of the above-mentioned embodiments, an embodiment of the present disclosure further provides a computer-readable storage medium on which a computer program or instruction is stored. When the computer program or instruction is executed by the processor 902, the processor 902 executes the method steps of various embodiments of the present disclosure to implement the steps of any of the above-mentioned methods, which has corresponding beneficial effects. To avoid repeated description, they will not be repeated here.

[0191] The computer-readable medium may be included in the clothes processing device, or may exist independently without being assembled into the clothes processing device.

[0192] The computer-readable storage medium may be any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0193] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0194] The foregoing description is intended only to provide specific embodiments of the present disclosure, intended to enable those skilled in the art to understand and implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the embodiments described herein, but rather to be construed in the broadest manner consistent with the principles and novel features disclosed herein.

Claims

1. A filter abnormality detection method, characterized in that: A method for detecting abnormality of a filter screen in a clothes processing device includes: After confirming that the target detection conditions are met, temperature control is performed; wherein, when the target detection conditions are met, it is confirmed that the factors affecting the abnormality detection of the filter are eliminated; After the temperature control continues for a preset period of time or in real time during the temperature control process, the actual temperature is obtained based on the temperature measuring device; Determining whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration; The determining whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration includes: Based on the temperature control mode being heating, if the actual temperature is greater than the theoretical temperature, the filter abnormality is determined to be an installation abnormality; if the actual temperature is less than the theoretical temperature, the filter abnormality is determined to be a dirty or blocked abnormality; or, Based on the fact that the temperature control method is heat dissipation, if the actual temperature is greater than the theoretical temperature, the filter abnormality is determined to be a dirty or blocked abnormality; if the actual temperature is lower than the theoretical temperature, the filter abnormality is determined to be an installation abnormality; wherein, the actual temperature is the actual temperature of the space inside the cylinder, and the theoretical temperature is determined based on the duration of the temperature control and the actual measured temperature at the start of the temperature control.

2. The method according to claim 1, characterized in that The determining whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration includes: Based on the theoretical temperature, determining a reference temperature range; Determining whether the actual temperature is within the reference temperature range; If the actual temperature is within the reference temperature range, it is determined that the filter is normal; If the actual temperature is not within the reference temperature range, it is determined that the filter is abnormal.

3. The method according to claim 2, characterized in that Also includes: determining the theoretical temperature based on the duration of the temperature control and the actual measured temperature at the start of the temperature control; The determining of the reference temperature range based on the theoretical temperature includes: Based on the theoretical temperature, subtracting the first preset error temperature to obtain a theoretical temperature lower limit value; and based on the theoretical temperature, adding the second preset error temperature to obtain a theoretical temperature upper limit value; The reference temperature range is defined based on the theoretical temperature lower limit value and the theoretical temperature upper limit value.

4. The method according to claim 3, characterized in that If the actual temperature is not within the reference temperature range, determining that the filter is abnormal includes: Based on the temperature control method being heating, if the actual temperature is greater than the theoretical temperature upper limit, determining that the filter abnormality is an installation abnormality; If the actual temperature is lower than the lower limit of the theoretical temperature, it is determined that the filter abnormality is dirty or blocked; or, Based on the temperature control method being heat dissipation, if the actual temperature is greater than the theoretical temperature upper limit, it is determined that the filter abnormality is a dirty or blocked abnormality; If the actual temperature is lower than the lower limit of the theoretical temperature, it is determined that the filter abnormality is an installation abnormality.

5. The method according to any one of claims 1 to 4, characterized in that The confirmation that the target detection condition is met includes: Obtain the laundry load in the drum corresponding to the filter; When it is determined based on the laundry load that there is no laundry in the drum, confirming that a target detection condition is satisfied; And / or, the confirmation that the target detection condition is met includes: obtaining the actual temperature; When it is determined based on the actual temperature that the actual temperature is within a preset temperature range, it is determined that a target detection condition is met.

6. The method according to claim 5, characterized in that Also includes: When it is determined that the actual temperature is higher than the upper temperature threshold corresponding to the preset temperature range, the actual temperature is lowered to within the preset temperature range.

7. The method according to claim 6, characterized in that The laundry processing device is further configured to execute a drum self-cleaning program; the drum self-cleaning program includes a timed cold air section and a timed hot air section; in the method: The determining that there is no clothing in the drum includes: confirming the execution of the drum self-cleaning program; The lowering of the actual temperature to within the preset temperature range includes: executing the timed cold air section in the drum self-cleaning program; The temperature control includes: executing the timed hot air section in the drum self-cleaning program.

8. A filter abnormality detection device, characterized in that: include: A temperature control module is used to control the temperature after confirming that the target detection conditions are met; wherein, when the target detection conditions are met, it is determined that the factors affecting the abnormality detection of the filter are eliminated; An acquisition module is used to acquire the actual temperature based on the temperature measuring device in real time after the temperature control continues for a preset period of time or during the temperature control process; a judgment module, configured to judge whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration; The determining whether the filter is abnormal based on the actual temperature and the theoretical temperature corresponding to the temperature control duration includes: Based on the temperature control mode being heating, if the actual temperature is greater than the theoretical temperature, the filter abnormality is determined to be an installation abnormality; if the actual temperature is less than the theoretical temperature, the filter abnormality is determined to be a dirty or blocked abnormality; or, Based on the temperature control mode being heat dissipation, if the actual temperature is greater than the theoretical temperature, the filter abnormality is determined to be dirty or blocked; if the actual temperature is less than the theoretical temperature, the filter abnormality is determined to be an installation abnormality; The actual temperature is the actual temperature of the space inside the cylinder, and the theoretical temperature is determined based on the duration of the temperature control and the actual measured temperature when the temperature control starts.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement the steps of the method according to any one of claims 1 to 7.

10. A clothes processing device, characterized in that: including memory and processor; The memory stores executable programs or instructions; The processor runs the program or instructions to implement the steps of the method according to any one of claims 1 to 7.

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