CN115897194A - Sealing fault detection method and device for clothes dryer, clothes dryer and medium - Google Patents
Sealing fault detection method and device for clothes dryer, clothes dryer and medium Download PDFInfo
- Publication number
- CN115897194A CN115897194A CN202211610150.5A CN202211610150A CN115897194A CN 115897194 A CN115897194 A CN 115897194A CN 202211610150 A CN202211610150 A CN 202211610150A CN 115897194 A CN115897194 A CN 115897194A
- Authority
- CN
- China
- Prior art keywords
- clothes dryer
- detection method
- relative humidity
- condensation efficiency
- drying
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
Abstract
The invention discloses a sealing fault detection method and device for a clothes dryer, the clothes dryer and a computer readable storage medium. The sealing fault detection method comprises the following steps: acquiring a change curve of the condensing efficiency of the clothes dryer along with the relative humidity of the environment within a preset time period; acquiring the condensation efficiency after a preset time; recording one-time abnormity under the condition that the condensation efficiency exceeds a set range below the change curve; and outputting fault alarm information under the condition that the recorded abnormal total times meet a preset condition. The sealing fault detection method of the clothes dryer enables the sealing fault detection of the clothes dryer to be more accurate and reduces the occurrence of misjudgment.
Description
Technical Field
The invention relates to the technical field of household appliances, in particular to a sealing fault detection method and device for a clothes dryer, the clothes dryer and a computer readable storage medium.
Background
At present, the operation process of the clothes dryer is a typical transient process, the parameter change range is large under different environmental conditions, the application range of the existing scheme for detecting the sealing fault of the clothes dryer is limited, and the situation of false detection can be caused.
Disclosure of Invention
The embodiment of the invention provides a sealing fault detection method and device for a clothes dryer, the clothes dryer and a computer readable storage medium.
The sealing fault detection method for the clothes dryer comprises the following steps:
acquiring a change curve of the condensing efficiency of the clothes dryer along with the relative humidity of the environment within a preset time period;
acquiring the condensation efficiency after the preset time;
recording a primary abnormality when the condensing efficiency exceeds a set range below the change curve;
and outputting fault alarm information under the condition that the recorded abnormal total times meet a preset condition.
According to the sealing fault detection method of the clothes dryer, the change curve of the condensation efficiency of the clothes dryer along with the relative humidity of the environment is obtained within the preset time, the condensation efficiency is obtained after the preset time, one-time abnormity is recorded under the condition that the condensation efficiency exceeds the set range below the change curve, and fault alarm information is output under the condition that the recorded abnormal total times meet the preset conditions, so that the sealing fault detection of the clothes dryer is more accurate, and the occurrence of misjudgment is reduced.
In some embodiments, obtaining a curve of condensing efficiency of the dryer as a function of ambient relative humidity for a preset period of time includes:
acquiring the ambient temperature, the ambient humidity, the fabric quality at the drying starting moment, the fabric quality at the drying finishing moment and the condensate water quality within the preset time length;
determining the relative humidity of the environment according to the environment temperature and the environment humidity, and determining the condensing efficiency of the drying process according to the fabric quality at the drying starting moment, the fabric quality at the drying finishing moment and the condensed water quality;
and acquiring a change curve of the condensation efficiency along with the relative humidity of the environment according to the relative humidity of the environment and the condensation efficiency.
In some embodiments, determining the condensing efficiency of the drying process according to the mass of the fabric at the drying start time, the mass of the fabric at the drying end time, and the mass of the condensed water comprises:
calculating a mass difference value according to the fabric mass at the drying starting moment and the fabric mass at the drying finishing moment;
and determining the condensation efficiency according to the condensed water quality and the quality difference value.
In certain embodiments, determining the condensing efficiency based on the condensed water mass and the mass difference comprises:
and determining the ratio of the mass of the condensed water to the mass difference as the condensation efficiency.
In some embodiments, obtaining the condensation efficiency as a function of ambient relative humidity from the ambient relative humidity and the condensation efficiency comprises:
and obtaining the change curve by using the environment relative humidity and the condensation efficiency through a fitting mode.
In some embodiments, in a case where the recorded total number of abnormalities satisfies a preset condition, outputting the failure warning information includes:
and outputting fault alarm information under the condition that the continuously recorded abnormal total times reach a first preset time.
In some embodiments, in a case where the recorded total number of abnormalities satisfies a preset condition, outputting the failure warning information includes:
and outputting fault alarm information under the condition that the total number of the accumulated abnormal times reaches a second preset number.
The sealing failure detection device of a clothes dryer of an embodiment of the present invention includes:
a processor, and;
a memory storing a computer program which, when executed by the processor, implements the steps of the seal failure detection method of the dryer of any of the above embodiments.
A clothes dryer of an embodiment of the present invention includes the sealing failure detection apparatus of the above embodiment.
Embodiments of the present invention provide a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the steps of the sealing failure detection method of the clothes dryer of any of the above embodiments.
According to the sealing fault detection device of the clothes dryer, the clothes dryer and the computer readable storage medium, the change curve of the condensation efficiency of the clothes dryer along with the relative humidity of the environment is obtained within the preset time, the condensation efficiency is obtained after the preset time, one-time abnormity is recorded under the condition that the condensation efficiency exceeds the set range below the change curve, and fault alarm information is output under the condition that the recorded abnormal total times meet the preset condition, so that the sealing fault detection of the clothes dryer is more accurate, and the occurrence of misjudgment is reduced.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow diagram of a seal failure detection method of a clothes dryer according to an embodiment of the present invention;
FIG. 2 is another flow chart schematic diagram of a sealing failure detection method of a dryer according to an embodiment of the present invention;
FIG. 3 is a graphical representation of condensing efficiency versus ambient relative humidity for an embodiment of the present invention;
FIG. 4 is a graph illustrating the condensation efficiency versus relative humidity of the environment according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. In the description of the present invention, it should be noted that the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected unless otherwise explicitly stated or limited. Either mechanically or electrically. Either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. "beneath," "under" and "beneath" a first feature includes the first feature being directly beneath and obliquely beneath the second feature, or simply indicating that the first feature is at a lesser elevation than the second feature.
The disclosure herein provides many different embodiments or examples for implementing different features of the invention. In order to simplify the disclosure of the present invention, the components and arrangements of specific examples are described herein. Of course, they are merely examples and are not intended to limit the present invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, the present invention provides examples of various specific processes and materials, but one of ordinary skill in the art will recognize the application of other processes and/or the use of other materials.
Referring to fig. 1, a method for detecting a sealing failure of a dryer according to an embodiment of the present invention includes:
103, acquiring condensation efficiency after a preset time;
105, recording a primary abnormality under the condition that the condensation efficiency exceeds a set range below the change curve;
and step 107, outputting fault alarm information under the condition that the recorded abnormal total times meet a preset condition.
According to the sealing fault detection method of the clothes dryer, the change curve of the condensation efficiency of the clothes dryer along with the relative humidity of the environment is obtained within the preset time, the condensation efficiency is obtained after the preset time, one-time abnormity is recorded under the condition that the condensation efficiency exceeds the set range below the change curve, and fault alarm information is output under the condition that the recorded abnormal total times meet the preset conditions, so that the sealing fault detection of the clothes dryer is more accurate, and the occurrence of misjudgment is reduced. And the potential high energy consumption problem of the system can be avoided, and the use experience of the user is improved.
Specifically, the dryer may include a drum for placing fabrics, a door, and a drying system, which may include a heat pump system or a drying system according to the type of the dryer. When the clothes dryer runs for a long time, sealing faults may occur, for example, sealing failure faults of air duct components such as sealing of a cylinder body and sealing of a door body, and sealing failure of the air duct components can affect condensation efficiency, and a change curve of the condensation efficiency along with relative humidity of an environment is key information for measuring sealing and air leakage of a clothes dryer system. The sealing fault detection method of the embodiment of the invention can detect the sealing fault of the clothes dryer. The dryer may further include a control panel or a computer board, which may control the overall operation of the dryer.
Referring to fig. 2, in some embodiments, step 101 includes:
1013, determining the relative humidity of the environment according to the environment temperature and the environment humidity, and determining the condensing efficiency of the drying process according to the fabric quality at the drying starting moment, the fabric quality at the drying finishing moment and the quality of condensed water;
and step 1015, acquiring a change curve of the condensation efficiency along with the ambient relative humidity according to the ambient relative humidity and the condensation efficiency.
In this way, a curve of the condensation efficiency as a function of the ambient relative humidity can be obtained.
Specifically, the ambient temperature may be obtained by the dryer through an ambient temperature sensor or obtained by the dryer through a network, and the ambient humidity may be obtained by the dryer through an ambient humidity sensor or obtained by the dryer through a network. The ambient relative humidity may be calculated from the ambient temperature and the ambient humidity. Ambient relative humidity X = f (T, phi), where T represents ambient temperature and phi represents ambient humidity.
The method can record the quality of the fabric at the moment of starting drying and the quality of the fabric at the moment of finishing drying respectively, and further obtain the quality of the fabric at the moment of starting drying and the quality of the fabric at the moment of finishing drying. In one embodiment, the fabric quality may be acquired by a mass sensor.
In one embodiment, the dryer includes a condensed water collection box, and the quality of condensed water in the drying stage can be obtained by weighing or measuring the water level.
The preset time period may be a period of time after the dryer is installed, for example, the preset time period may be within two weeks after the dryer is installed. Step 101 corresponds to a learning phase of the laundry dryer. The obtained change curve is more fit with the operation condition of the clothes dryer, and the accuracy of sealing fault detection is improved. Through a plurality of condensation efficiencies and a plurality of environment relative humidity that acquire in a period, can make condensation efficiency more laminate the actual operation situation of dryer along with environment relative humidity's variation curve, be favorable to promoting the rate of accuracy that the sealing failure detected. It is understood that in other examples, the preset time period is not limited to two weeks, and may be other time periods, which are not specifically limited herein.
In certain embodiments, step 1013 comprises:
calculating a mass difference value according to the mass of the fabric at the drying starting moment and the mass of the fabric at the drying finishing moment;
and determining the condensing efficiency according to the mass of the condensed water and the mass difference.
In this way, the condensation efficiency can be determined specifically.
Specifically, the mass difference may be the mass of the fabric at the beginning of drying minus the mass of the fabric at the end of drying, indicating how much moisture the dryer has removed during the drying phase. And then the condensing efficiency is determined according to the mass difference and the quality of the condensed water.
In one embodiment, the condensing efficiency is inversely related to the difference in mass and positively related to the quality of the condensed water.
In some embodiments, determining the condensing efficiency from the condensed water mass and the mass difference comprises:
and determining the ratio of the mass of the condensed water to the mass difference as the condensation efficiency.
Therefore, the calculation mode of the condensation efficiency is simple and easy to implement, and the efficiency of the sealing fault detection method is improved.
Specifically, when the mass of the fabric at the drying start time is represented by M0, the mass of the fabric at the drying end time is represented by M1, the mass of the condensed water is represented by Mw, and the condensation efficiency is represented by yita, the condensation efficiency yita = Mw/(M0-M1).
It will be appreciated that in other embodiments, the condensing efficiency may be calculated using other equations, and is not limited to the above ratio.
In certain embodiments, step 1015 comprises:
and obtaining a change curve of the condensation efficiency along with the relative humidity of the environment by using the relative humidity of the environment and the condensation efficiency in a fitting mode.
Therefore, the method for acquiring the change curve of the condensation efficiency along with the relative humidity of the environment is simple and easy to implement, and the efficiency of the sealing fault detection method is improved.
Specifically, referring to fig. 3, the condensing efficiency is calculated by the fabric mass at the drying start time, the fabric mass at the drying end time, and the condensed water mass, and the environment relative humidity is calculated by the environment temperature and the environment humidity, so as to obtain the relation between the condensing efficiency and the environment relative humidity. In fig. 3, as an illustration, the fitted curve A1 of the condensation efficiency with the ambient relative humidity is a straight line, and the condensation efficiency yita increases with the increase of the ambient relative humidity X.
It is understood that in other embodiments, the curve of the change of the condensation efficiency with the relative humidity of the environment is not limited to the form of the fitting curve, and may be another functional form, such as a quadratic curve, a multivariate polynomial equation, and the like, and is not limited in particular.
In step 103, the preset time period may be a period of time after two weeks of installation of the dryer, and in one example, the newly collected condensing efficiency is calculated within one month after two weeks of installation of the dryer. However, the newly collected condensation efficiency is not limited to within one month, and may be other time periods, which are not particularly limited herein.
In step 105, the condensation efficiency exceeds a set range below the variation curve, that is, the condensation efficiency is smaller than a value corresponding to the variation curve and is outside the set range. In one example, the set range may be a range 5% below the variation curve, and the set range is a range between the variation curve and a curve formed by shifting the variation curve by 5% as a whole. Referring to fig. 4, a change curve of the condensation efficiency with the relative humidity of the environment is A1, a curve formed by shifting the change curve A1 by 5% is A2, the condensation efficiencies are B1 and B2, respectively, the setting range is a range defined by the curves A1 and A2, no abnormality is recorded if the condensation efficiency B1 is within the setting range, and an abnormality is recorded if the condensation efficiency B2 is out of the setting range.
It is understood that, in other examples, the setting range is not limited to the range of 5% below the variation curve, and may be other ranges, which are not specifically limited herein. Steps 103 to 107 may be a post-learning application phase.
In certain embodiments, step 107 comprises:
and outputting fault alarm information under the condition that the continuously recorded abnormal total times reach a first preset time.
Therefore, the sealing fault detection of the clothes dryer can be more accurate, and the occurrence of misjudgment is reduced.
Specifically, if the recorded abnormality is one time, it is determined that the drying machine has a sealing failure, the possibility of this erroneous determination is high, because the drying machine may encounter some external factors, such as sudden change in ambient temperature or ambient humidity, so that the condensing efficiency exceeds the set range below the change curve.
In the embodiment of the invention, when the continuously recorded abnormal total times reach the first preset times, the fault alarm information is output to indicate that the clothes dryer has a sealing fault, so that the occurrence of misjudgment can be greatly reduced.
In one example, the first preset number of times may be 3 times, and in the case where the total number of continuously recorded abnormalities reaches 3 times, the failure warning information is output. After the fault alarm information is output, the total number of abnormal times can be cleared.
In certain embodiments, step 107 comprises:
and outputting fault alarm information under the condition that the total number of the recorded abnormal times reaches a second preset number.
Therefore, the sealing fault detection of the clothes dryer can be more accurate, and the occurrence of misjudgment is reduced.
Specifically, if the recorded abnormality is one time, it is determined that the dryer has a sealing failure, the possibility of this erroneous determination is high, because the dryer may encounter some external factors, such as ambient temperature or ambient humidity, so that the condensing efficiency exceeds the set range below the change curve.
In the embodiment of the invention, when the total number of the accumulated abnormal times reaches the second preset number, the fault alarm information is output to indicate that the clothes dryer has a sealing fault, so that the occurrence of misjudgment can be greatly reduced.
In one example, the second preset number may be 5 times, and in the case that the total number of times of the abnormality recorded cumulatively reaches 5 times, the failure alarm information is output. After the fault alarm information is output, the total number of abnormal times can be cleared. In one embodiment, the second predetermined number of times is generally greater than the first predetermined number of times.
The clothes dryer may include an alarm device, which may emit fault alarm information, which may be sound information and/or light information. For example, the alarm device may include a speaker, and the failure alarm information (acoustic information) may be broadcast through the speaker, for example, the broadcast voice is "dryer seal failure, please check" or the like.
The alarm device comprises a display screen, and fault alarm information (light information) can be displayed through the display screen, for example, the characters displayed on the display screen are 'clothes dryer sealing fault, please pay attention to check' or similar characters, patterns and the like.
In certain embodiments, the seal failure detection method further comprises:
and sending fault alarm information to a preset terminal so that the preset terminal can perform clothes dryer sealing fault alarm.
Therefore, the user can be informed of the sealing fault of the clothes dryer in time.
Specifically, the preset terminal includes, but is not limited to, a mobile phone, a tablet computer, a personal computer, a wearable smart device, and the like. The preset terminal can be bound with the clothes dryer in advance. The clothes dryer can send fault alarm information to a preset terminal, and the preset terminal can perform sound prompt and/or light prompt. The sound prompt and the light prompt can be referred to the explanation of the above embodiment.
When the preset terminal receives the fault alarm information, a prompt can be given on a human-computer interaction interface of the preset terminal, so that a user can timely acquire the sealing fault state of the clothes dryer and inform maintenance personnel of checking.
The sealing fault detection device of the clothes dryer comprises a processor and a memory, wherein the memory stores a computer program, and the computer program realizes the steps of the sealing fault detection method of the clothes dryer in any embodiment when being executed by the processor.
A clothes dryer of an embodiment of the present invention includes the sealing failure detection apparatus of the above embodiment.
In particular, the seal failure detection device may include a control board or a computer board, or an additional seal failure detection device, which may be in communication with the control board or the computer board. In one embodiment, the dryer further comprises a heat pump system. It is understood that in other embodiments, the dryer may further include a drying system, which is not specifically limited herein.
Embodiments of the present invention provide a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the steps of the sealing failure detection method of the clothes dryer of any of the above embodiments.
In one embodiment, a method of seal failure detection of a dryer implemented by a computer program when executed by a processor includes:
103, acquiring condensation efficiency after a preset time;
105, recording an abnormality once when the condensation efficiency exceeds a set range below the change curve;
and step 107, outputting fault alarm information under the condition that the recorded abnormal total times meet preset conditions.
According to the sealing fault detection device of the clothes dryer, the clothes dryer and the computer readable storage medium, the change curve of the condensation efficiency of the clothes dryer along with the relative humidity of the environment is obtained within the preset time, the condensation efficiency is obtained after the preset time, one-time abnormity is recorded under the condition that the condensation efficiency exceeds the set range below the change curve, and fault alarm information is output under the condition that the recorded abnormal total times meet the preset condition, so that the sealing fault detection of the clothes dryer is more accurate, and the occurrence of misjudgment is reduced. And the potential high energy consumption problem of the system can be avoided, and the use experience of the user is improved.
It should be noted that the above explanation of the embodiment and advantageous effects of the sealing failure detection method is also applicable to the failure detection apparatus, the clothes dryer, and the computer-readable storage medium used in the embodiment of the present invention, and is not detailed herein in order to avoid redundancy.
It will be appreciated that the computer program comprises computer program code. The computer program code may be in the form of source code, object code, an executable file or some intermediate form, and the like. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), software distribution medium, and the like. The Processor may be a central processing unit, or may be other general-purpose Processor, digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like.
In the description herein, references to the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A sealing failure detection method of a clothes dryer, characterized by comprising:
acquiring a change curve of the condensing efficiency of the clothes dryer along with the relative humidity of the environment within a preset time period;
acquiring the condensation efficiency after the preset time;
recording a primary abnormality when the condensing efficiency exceeds a set range below the change curve;
and outputting fault alarm information under the condition that the recorded abnormal total times meet a preset condition.
2. The sealing failure detection method of a clothes dryer according to claim 1, wherein obtaining a variation curve of condensation efficiency of the clothes dryer with relative humidity of the environment for a preset time period comprises:
acquiring the ambient temperature, the ambient humidity, the fabric quality at the drying starting moment, the fabric quality at the drying finishing moment and the condensate water quality within the preset time length;
determining the relative humidity of the environment according to the environment temperature and the environment humidity, and determining the condensing efficiency of the drying process according to the fabric quality at the drying starting moment, the fabric quality at the drying finishing moment and the condensed water quality;
and acquiring a change curve of the condensation efficiency along with the relative humidity of the environment according to the relative humidity of the environment and the condensation efficiency.
3. The method of detecting a sealing failure in a clothes dryer according to claim 2, wherein determining a condensing efficiency of a drying process according to the drying start time fabric quality, the drying end time fabric quality, and the condensed water quality comprises:
calculating a mass difference value according to the mass of the fabric at the drying starting moment and the mass of the fabric at the drying finishing moment;
and determining the condensation efficiency according to the condensed water quality and the quality difference value.
4. The seal failure detection method of a clothes dryer of claim 3, wherein determining the condensing efficiency according to the condensed water quality and the difference in quality comprises:
and determining the ratio of the mass of the condensed water to the mass difference as the condensation efficiency.
5. The seal failure detection method of a clothes dryer according to claim 2, wherein obtaining the condensation efficiency variation curve with ambient relative humidity according to the ambient relative humidity and the condensation efficiency comprises:
and obtaining the change curve by using the environment relative humidity and the condensation efficiency through a fitting mode.
6. The seal failure detection method of a dryer according to claim 1, wherein outputting failure alarm information in case that the recorded abnormal total number of times satisfies a preset condition comprises:
and outputting fault alarm information under the condition that the continuously recorded abnormal total times reach a first preset time.
7. The sealing failure detection method of a clothes dryer according to claim 1, wherein in case that the recorded total number of abnormal times satisfies a preset condition, outputting failure alarm information comprises:
and outputting fault alarm information under the condition that the total number of the accumulated abnormal times reaches a second preset number.
8. A sealing failure detection apparatus of a clothes dryer, characterized by comprising:
a processor, and;
memory storing a computer program which, when executed by the processor, implements the steps of the seal failure detection method of a laundry dryer according to any one of claims 1-7.
9. A clothes dryer characterized by comprising the seal failure detection apparatus of claim 8.
10. A computer readable storage medium, having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, realizes the steps of the sealing failure detection method of a laundry dryer according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211610150.5A CN115897194A (en) | 2022-12-14 | 2022-12-14 | Sealing fault detection method and device for clothes dryer, clothes dryer and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211610150.5A CN115897194A (en) | 2022-12-14 | 2022-12-14 | Sealing fault detection method and device for clothes dryer, clothes dryer and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115897194A true CN115897194A (en) | 2023-04-04 |
Family
ID=86487841
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211610150.5A Pending CN115897194A (en) | 2022-12-14 | 2022-12-14 | Sealing fault detection method and device for clothes dryer, clothes dryer and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115897194A (en) |
-
2022
- 2022-12-14 CN CN202211610150.5A patent/CN115897194A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2260268B1 (en) | Method for process monitoring in a utility system | |
| US20030136173A1 (en) | System and method for detecting faulty fuel tank level sensor | |
| CN112734138B (en) | Fault early warning method, device, equipment and storage medium | |
| CN110094843B (en) | Method and device for controlling air conditioner based on refrigerant shortage grade | |
| CN110542520B (en) | Engine liquid leakage monitoring method and system | |
| JP2008250594A (en) | Device diagnostic method, device-diagnosing module and device with device-diagnosing module mounted thereon | |
| CN110906508B (en) | Fault detection method and system for air conditioner sensor | |
| JP2018124117A (en) | State monitoring system and wind force power generator | |
| US8450984B2 (en) | Diagnosis and prognosis of rotor thermal sensitivity | |
| CN104819786B (en) | The detection method and device of the temperature sensor of frequency-variable module in air conditioner | |
| CN115897194A (en) | Sealing fault detection method and device for clothes dryer, clothes dryer and medium | |
| CN113465779A (en) | Mechanical equipment temperature trend increase early warning method and system based on dynamic multi-reference | |
| JP7383207B1 (en) | Motor abnormality determination system | |
| CN115976807A (en) | Fault detection method and device for clothes dryer, clothes dryer and medium | |
| CN108266364B (en) | Electric pump load over-low fault diagnosis method and device | |
| CN108223401B (en) | Electric pump overload fault diagnosis method and device | |
| CN111274098A (en) | IoT-based storage device alarm method and device | |
| EP4121758B1 (en) | Information processor for diagnosing the state of a humidity sensor | |
| KR102199104B1 (en) | Apparatus and method for detecting defects in rotating machines | |
| JP6766248B2 (en) | Moisture contamination detection device, moisture contamination detection program, moisture contamination detection method, and moisture contamination detection system | |
| CN113046995A (en) | Method, device and equipment for determining faults of clothes drying equipment | |
| US8892389B1 (en) | Determining a condition of a system based on plural measurements | |
| JP7444349B1 (en) | Measuring device | |
| CN111980952B (en) | Method, device and system for controlling running boundary of rotary fluid machine | |
| US20230126849A1 (en) | Learning method for the detection of anomalies from multivariate data sets and associated anomaly detection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |