CN110725099B - Control method for fault diagnosis of washing machine and washing machine - Google Patents
Control method for fault diagnosis of washing machine and washing machine Download PDFInfo
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- 238000005406 washing Methods 0.000 title claims abstract description 192
- 238000003745 diagnosis Methods 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 41
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 44
- 230000008569 process Effects 0.000 claims description 15
- 238000010438 heat treatment Methods 0.000 claims description 5
- 230000007257 malfunction Effects 0.000 claims description 5
- 230000006855 networking Effects 0.000 claims description 5
- 235000014676 Phragmites communis Nutrition 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 4
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- 230000000903 blocking effect Effects 0.000 description 3
- 238000012827 research and development Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
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- 238000011160 research Methods 0.000 description 1
- 238000004092 self-diagnosis Methods 0.000 description 1
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F37/00—Details specific to washing machines covered by groups D06F21/00 - D06F25/00
- D06F37/42—Safety arrangements, e.g. for stopping rotation of the receptacle upon opening of the casing door
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Abstract
The invention discloses a control method for fault diagnosis of a washing machine and the washing machine, and relates to the field of household appliances. The washing machine of the invention presets the preset value for the parameters affecting the probability of occurrence of faults, and when the parameters affecting the probability of occurrence of faults reach the preset value, the washing machine automatically starts the diagnosis program to diagnose the faults. The washing machine is set with a preset value, fault diagnosis can be automatically carried out according to the corresponding relation of the occurrence probability of faults in a timing or counting mode, a user can be informed of whether the washing machine has faults in advance, and the user can conveniently and timely remove the faults. The washing machine diagnoses the faults when the probability of occurrence of the faults is high, the time of occurrence of the faults can be more closely related, and the hit rate of diagnosis is increased.
Description
Technical Field
The invention belongs to the field of household appliances, and particularly relates to a control method for fault diagnosis of a washing machine and the washing machine.
Background
In general household, household appliances with different functions can not be used continuously by users after the household appliances have faults, the faults need to be removed, and in the current household appliances, such as washing machines, fault alarm can be directly carried out to prompt the users when the washing machines have faults, and the users can only find instruction books or contact after-sales or maintenance personnel to process.
In the prior art, household appliances such as a washing machine and the like have fault diagnosis programs, faults can be diagnosed by themselves, specific information of the faults is displayed, and the diagnosis process can be identified, analyzed and appropriate service is provided.
The possible types of faults of the household appliances are more, when the faults occur, the washing machine needs to be comprehensively diagnosed to obtain the corresponding diagnosis result, and the diagnosis process is long in time.
The present invention has been made in view of this.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects of the prior art and providing a control method for diagnosing faults of a washing machine and the washing machine with the control method.
In order to solve the technical problems, the invention adopts the basic conception of the technical scheme that:
A control method for fault diagnosis of a washing machine is characterized in that a preset value is preset for parameters affecting the probability of fault occurrence of the washing machine, and when the parameters affecting the probability of fault occurrence reach the preset value, a diagnosis program is automatically started to diagnose the fault of the washing machine.
Specifically, the washing machine comprises a first type of faults, parameters influencing the occurrence probability of the first type of faults comprise the use duration, the washing machine is preset with a duration preset value, and when the duration reaches the duration preset value during use, the washing machine automatically starts a diagnosis program to diagnose the first type of faults;
specifically, the washing machine comprises a second type of faults, the parameters affecting the probability of the second type of faults comprise the use times, the washing machine is preset with a preset time value, and when the use times reach the preset time value, the washing machine automatically starts a diagnosis program to diagnose the second type of faults.
The washing machine is preset with an N-th duration preset value/an N-th times preset value, when the N-1 th diagnosis result is that no fault occurs, the washing machine continues to count time, and when the using time is long, the using times reach the N-th duration preset value/the N-th times preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
Further, when the diagnosis result is that a certain fault occurs, the washing machine alarms and displays fault information, and after the fault is removed, the washing machine clears the using time length/using times and reckons/counts;
preferably, the washing machine is in communication connection with a server; when the diagnosis result is that a certain fault occurs, the washing machine obtains whether the user self-removes the fault; when the user does not self-troubleshoot, the washing machine transmits the fault information to the server, and/or the washing machine automatically contacts a serviceman.
The method comprises the steps that a corresponding relation between a using time length and a fault occurrence probability/a corresponding relation between using times and the fault occurrence probability is preset in factory, the corresponding relation between the latest data updating using time length and the fault occurrence probability/the corresponding relation between the using times and the fault occurrence probability are obtained from a server, and a preset value is adjusted according to the corresponding relation.
Each fault has an independent corresponding relation between the using time length and the fault occurrence probability/a corresponding relation between the using times and the fault occurrence probability, and the washing machine is preset with an independent time length preset value/a time number preset value for each fault;
preferably, the time duration preset value/the number of times preset value of each fault may be different corresponding to the occurrence probability of the fault.
In the faults of the washing machine, at least one fault belongs to a first type of faults and a second type of faults, and when the use time reaches a duration predicted value and the use times does not reach a times preset value, or when the use times reaches the times predicted value and the use time does not reach the duration preset value, the washing machine automatically starts a diagnosis program to diagnose the faults.
Specifically, the first type of faults at least comprise one of motor faults, fan faults, filter blockage, sensor failure and computer boards; the second type of faults at least comprise one of blockage of a water inlet filter screen, failure of a reed switch/a micro switch, barrel collision and heating pipe faults.
Specifically, the second type of faults comprise blockage of the water inlet filter screen, the washing machine obtains water quality parameters, and the corresponding relation between the use times and the blockage occurrence probability of the water inlet filter screen is adjusted according to the water quality parameters, and the preset times value is adjusted;
Preferably, the washing machine is provided with a water quality detection device, or the washing machine can acquire a local water quality report through networking, or the washing machine receives water quality information input by a user.
The invention further comprises a washing machine with the fault diagnosis control method.
By adopting the technical scheme, compared with the prior art, the invention has the following beneficial effects.
The washing machine can automatically perform fault diagnosis according to the corresponding relation of the occurrence probability of faults by setting a preset value in a timing or counting mode, so that a user can be informed of whether the washing machine has faults or not in advance, and the user can conveniently and timely remove the faults.
The washing machine classifies faults, namely faults with increased occurrence probability along with time, faults with increased occurrence probability along with increased use times, corresponding relations are preset for different faults, the faults are diagnosed when the occurrence probability of the faults is high, and the hit rate of diagnosis can be increased more closely to the occurrence time of the faults.
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. It is evident that the drawings in the following description are only examples, from which other drawings can be obtained by a person skilled in the art without the inventive effort. In the drawings:
FIG. 1 is a schematic diagram showing the correspondence between the duration of use of one type of fault and the probability of occurrence of the fault in the first type of fault;
FIG. 2 is a schematic diagram showing a correspondence relationship between a usage time period and a probability of occurrence of another fault in the first type of faults according to the present invention;
FIG. 3 is a schematic diagram of a first type of fault diagnosis control method according to the present invention;
FIG. 4 is a schematic diagram showing the correspondence between the number of times of use of one type of fault and the probability of occurrence of the fault in the second type of fault according to the present invention;
FIG. 5 is a schematic diagram illustrating the adjustment of the correspondence between the number of times of use of one type of fault and the probability of occurrence of the fault in the second type of fault according to the present invention;
FIG. 6 is a schematic diagram of a control method for fault diagnosis of the second type of the present invention.
In the figure: 1. a curve of the number of times of use and the probability of occurrence of faults under the first water quality condition; 2. and a curve of the number of times of use and the probability of fault occurrence under the second water quality condition.
It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions in the embodiments will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention, and the following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
The invention relates to a control method for fault diagnosis of a washing machine, by which the washing machine can automatically start a fault diagnosis program to perform fault diagnosis on the washing machine without receiving a user instruction.
The washing machine can have various faults in the use process, parameters influencing the probability of the faults are various, such as the quality of parts, the climate conditions of the environment where the washing machine is located and the use time of the washing machine can enable the parts to age so as to cause the faults, and the use times of the parts or the use times of the washing machine can also influence the probability of the faults, wherein the use time and the use times can be easily monitored by the washing machine, the washing machine generally has a timing or counting function, or a corresponding program is provided, and the use time and the use times can be slowly accumulated so as to form a certain corresponding relation with the probability of the faults. Generally, the longer the washing machine is used, or the more times it is used, the more the probability of occurrence of a malfunction increases.
Aiming at the situation, the control method for the fault diagnosis of the washing machine comprises the steps that the washing machine presets a preset value for parameters influencing the probability of fault occurrence, and when the parameters influencing the probability of fault occurrence reach the preset value, the washing machine automatically starts a diagnosis program to diagnose the fault. Analyzing the corresponding service condition of the current washing machine, analyzing whether potential hidden dangers of fault alarm exist, if no fault exists or the hidden dangers of the fault exist, continuing running the washing machine, re-diagnosing at the next node, if the fault exists, analyzing specific information of the fault or specific information of the hidden dangers of the washing machine, sending prompt information at a washing machine interface or a mobile phone APP in advance, prompting a user to process in advance, and preventing the user from being incapable of leading the washing machine to be normally used in advance and delaying the time of the user.
Example 1
In this embodiment, the parameter affecting the probability of occurrence of the fault is the duration of use.
The washing machine includes a first type of faults, which are faults whose occurrence probability increases as the use period increases. The faults can comprise motor faults, fan faults, filter blockage, sensor failure, computer board connection failure and other faults, and in the first type of faults, the probability of faults is increased as time goes by even if the washing machine is not frequently used.
The washing machine is provided with a motor, a fan and other parts for providing power, and the motor and the fan can possibly generate faults along with the increase of the service time; the lint filter or the filter screen and the like can cause more lint to be attached to the lint filter or the filter screen along with the increase of the using time, so that the blockage situation can cause faults. In addition, the use time length of various sensors is increased to cause the probability of faults to be increased, when the use time length of the devices reaches a preset value, the washing machine automatically starts fault diagnosis programs to detect functions of the various devices, such as the functions of a motor, connection between the motor and each computer board, a line scrap filter or a filter screen cleaning period, parameters of the various sensors, connection between the various sensors and the computer board, and when a certain device is found to have hidden danger in a diagnosis mode, different prompts are carried out according to a processing mode with problems, such as cleaning of the line scrap filter or the filter screen is directly prompted to a user if the line scrap filter or the filter screen is required to be cleaned, and if the performance of the certain device is reduced or the connection is poor, the user cannot process the connection by himself or herself, and then the user is directly prompted to get on the door for processing.
As shown in fig. 1, fig. 1 shows a correspondence relationship between a usage period of a certain fault and a probability of occurrence of the fault. The correspondence may be represented in a curve form, or may be preset in other forms. The curve in fig. 1 may be preset before shipment, so that the washing machine can call the data information in the correspondence in the control process.
The washing machine is preset with a time length preset value, and the time length preset value is set through the fault occurrence probability. For example, the developer considers that when the occurrence probability of the fault reaches 50%, it is necessary to start the diagnostic program to diagnose the fault, and the washing machine sets the preset time period to the corresponding use time period when the occurrence probability of the fault is 50%.
The preset time length values comprise a group of preset values, as shown in fig. 1, the use time length T1 is a first preset time length value, when the use time length reaches the first preset time length value, the washing machine starts a diagnosis program to perform diagnosis, and the determination of the use time length T1 is set according to the corresponding fault occurrence probability.
In order to facilitate the description of the setting mode of the duration preset value, the probabilities P1, P2, P3 and the durations T1, T2, T3 during use are assigned in the following description.
When the research staff considers that the first fault diagnosis is necessary when the probability of occurrence of the fault p1=50%, the t1=100 h is set to a first time length preset value according to the corresponding relation, and when the time length reaches 100h during use, the washing machine automatically starts a diagnosis program to diagnose the fault.
After the first fault diagnosis, if the diagnosis result is that no fault occurs, performing a second fault diagnosis when the service duration reaches a preset value of a second duration, and if the research and development personnel consider that the second fault diagnosis is necessary when the fault occurrence probability p2=70%, setting t2=120h as the preset value of the second duration according to the corresponding relation, and starting the diagnosis program again to diagnose the fault when the service duration reaches 120 h.
When the second fault diagnosis is carried out, if the diagnosis result is that no fault occurs, the third fault diagnosis is carried out when the using time reaches a third time length preset value; the research and development staff considers that when the probability of occurrence of the fault p3=80%, the fault diagnosis is necessary for the third time, and then, according to the corresponding relation, t3=135 h is set as a preset value of the third time period, and when the time period reaches 135h during use, the washing machine is started for the third time to diagnose the fault.
When the last diagnosis result is that no fault occurs, the washing machine is not required to clear the using time length, the using time length is continuously accumulated, next fault diagnosis is carried out, the washing machine is preset with an N-th time length preset value, when the N-1-th diagnosis result is that no fault occurs, the washing machine is continuously timed, and when the using time length reaches the N-th time length preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The process is a control method when the diagnosis result is that no fault occurs, when the diagnosis result is that a certain fault occurs, the washing machine alarms and displays fault information, after the fault is removed, the washing machine clears the using time, reckons, the cleared using time continues to be accumulated, and when the using time reaches a first time preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The existing washing machine can have a networking function, can be in communication connection with a server to transmit data, and can acquire whether a user self-eliminates faults when a certain fault occurs as a diagnosis result; when the user can automatically discharge the faults, for example, the user cleans the filter screen and eliminates the faults of the filter screen blockage, the user can select the faults to be eliminated on the washing machine, and the parameter of the using time of the faults is cleared. When the user does not self-troubleshoot, the washing machine transmits the fault information to the server, or the washing machine automatically contacts with maintenance personnel, and after the maintenance personnel troubleshoots the fault, the using time is cleared.
As shown in fig. 1 and 2, the time length preset value corresponding to each fault is different because the curve relationship between the time length used corresponding to the fault and the probability of occurrence of the fault is different. As shown in fig. 1, the time interval for starting the fault diagnosis program becomes shorter and shorter because the slope of the curve increases with the increase of the time period of use, that is, the probability of occurrence of a fault increases more, whereas as shown in fig. 2, the time interval for starting the fault diagnosis program becomes longer and longer because the slope of the curve decreases with the increase of the time period of use, that is, the probability of occurrence of a fault increases slowly.
Fig. 1 and 2 are only illustrative, and the corresponding relation between the service duration and the probability of occurrence of the fault corresponding to each fault is preset when the washing machine leaves the factory, each fault has an independent corresponding relation between the service duration and the probability of occurrence of the fault, the corresponding relation is obtained through a plurality of tests before leaving the factory, corresponding data is obtained through feedback in the use process of other users, the corresponding relation between the latest data updating service duration and the probability of occurrence of the fault is obtained from a server by the local washing machine, and the preset value is adjusted according to the corresponding relation. The washing machine presets an independent duration preset value for each fault; in the relationship diagram corresponding to each fault, the values of P1, P2, and P3 may be different values or the same value.
The maximum value of the fault occurrence probability is 100%, the fault occurrence probability is generally infinitely close to 100%, P1, P2 and P3 are all smaller than 100%, and P1 < P2 < P3 in test data. Wherein near 100% of the probability of occurrence of a fault, diagnosis should be performed more frequently due to an increase in probability of occurrence of a fault. Therefore, the difference between P1 and P2 is considered to be larger than the difference between P2 and P3, which can more conform to the probability of fault occurrence and can increase the hit rate of diagnosis to a greater extent.
As shown in fig. 3, the washing machine has a timing function, can record the use time, judges whether the use time reaches a first time preset value, and starts a fault diagnosis program to diagnose faults when the use time reaches the first time preset value; when the diagnosis result is that the washing machine has a certain fault, the washing machine alarms, corresponding fault information is displayed, after the fault is eliminated, the washing machine is cleared to zero when in use, timing is performed again, and the control process is circulated until the first time length preset value is reached again; when the first diagnosis result is that no fault occurs, the washing machine continues to count time, when the using time length reaches a second time length preset value, the washing machine starts a fault diagnosis program to diagnose the fault, when the second diagnosis result is that no fault occurs, the washing machine continues to count time, when the using time length reaches a third time length preset value, the washing machine starts the fault diagnosis program to diagnose the fault, and the washing machine carries out cycle diagnosis according to the logic relation.
Example two
In this embodiment, the parameter affecting the probability of occurrence of the fault is the number of times of use.
The washing machine includes a second type of faults, the first type of faults being faults whose occurrence probability increases with the increase of the number of times of use. Such faults may include blockage of the intake filter screen, blockage of the drain filter screen, failure of the reed switch/microswitch, barrel collision, and heating pipe failure. In the second type of faults, the probability of faults is increased with the increase of the use times and the increase of the use times.
For faults possibly caused by the increase of the use times, if the water quality of the place where a user is located is too hard or the water inlet filter screen is blocked or water inlet is slow due to too much impurities, the water drainage is slow due to the blocking of the drain valve when the use times of the washing machine are too many, the performance of the reed switch or the micro switch is reduced due to the frequent uncovering of the user, the washing machine is placed unevenly or the barrel collision caused by uneven clothes, the heating pipe is used for the heating function of the washing machine, and the like, the self-diagnosis can be carried out according to the different use times of specific devices, and different treatment modes are carried out on the problems caused by diagnosis.
As shown in fig. 4, fig. 4 shows a correspondence relationship between the number of times of use of a certain type of fault and the probability of occurrence of the fault. The correspondence may be represented in a curve form, or may be preset in other forms. The curve in fig. 4 may be preset before shipment, so that the washing machine can call the data information in the correspondence in the control process.
The washing machine is preset with a frequency preset value, and the setting of the frequency preset value is set through the occurrence probability of the faults. For example, the developer considers that when the probability of occurrence of a fault reaches 50%, it is necessary to start a diagnostic program to diagnose the fault, and the washing machine sets the preset number of times to the corresponding number of uses when the probability of occurrence of a fault is 50%.
The preset values of the times include a set of preset values, as shown in fig. 4, the number of times N1 is a first preset value, when the number of times reaches the first preset value, the washing machine starts a diagnosis program to perform diagnosis, and the determination of the number of times N1 is set according to the corresponding probability of occurrence of the fault.
In order to facilitate the description of the setting mode of the preset number of times value, the probabilities P1', P2', P3' and the numbers of times of use N1, N2, N3 are assigned as follows.
When the developer considers that the first fault diagnosis is necessary when the probability of occurrence of the fault P1' =50%, the N1=100 times is set to the first preset value according to the corresponding relation, and when the number of times of use reaches 100 times, the washing machine automatically starts the diagnosis program to diagnose the fault.
After the first fault diagnosis, if the diagnosis result is that no fault occurs, performing a second fault diagnosis when the number of times of use reaches a second preset value, and if the developer considers that the second fault diagnosis is necessary when the probability of occurrence of the fault P2' =70%, setting n2=120 times to the second preset value according to the correspondence, and starting the diagnosis program again to diagnose the fault when the number of times of use reaches 120 times.
After the second fault diagnosis, if the diagnosis result is that no fault occurs, performing a third fault diagnosis when the use times reach a third preset value; the research and development staff considers that when the probability of occurrence of the fault P3' =85%, the fault diagnosis is necessary for the third time, the n3=130 times is set to the third time preset value according to the corresponding relation, and when the using time reaches 130 times, the washing machine is started to diagnose the fault for the third time.
When the number of times corresponding to the selected failure occurrence probability is not an integer, the similar whole number of times may be selected.
When the last diagnosis result is that no fault occurs, the washing machine is not required to clear the using times, the using times are continuously accumulated, next fault diagnosis is carried out, the washing machine is preset with an N-th preset value, when the N-1-th diagnosis result is that no fault occurs, the washing machine is continuously counted, and when the using times reach the N-th preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The process is a control method when the diagnosis result is that no fault occurs, when the diagnosis result is that a certain fault occurs, the washing machine alarms and displays fault information, after the fault is removed, the washing machine clears the use times, reckons, the cleared use times are accumulated again, and when the use times reach a first preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The existing washing machine can have a networking function, can be in communication connection with a server to transmit data, and can acquire whether a user self-eliminates faults when a certain fault occurs as a diagnosis result; when the user can automatically discharge the faults, for example, the user cleans the filter screen and removes the faults blocked by the filter screen, the user can select the faults to be removed on the washing machine, and the parameter of the using times of the faults is cleared. When the user does not self-troubleshoot, the washing machine transmits the fault information to the server, or the washing machine automatically contacts with maintenance personnel, and after the maintenance personnel troubleshoots the fault, the using times are cleared.
As shown in fig. 4, since the number of uses corresponding to each fault in the second type of faults is different from the curve relationship of the probability of occurrence of the fault, the preset value of the number of times corresponding to the fault is also different.
Fig. 4 is only an illustration, where the factory of the washing machine presets the correspondence between the number of times of use corresponding to each fault and the probability of occurrence of the fault, each fault has an independent correspondence between the number of times of use and the probability of occurrence of the fault, the correspondence is obtained through several tests before the factory, and the corresponding data is obtained through feedback in the use process of other users, and the local washing machine obtains the correspondence between the latest data update number of times of use and the probability of occurrence of the fault from the server, and adjusts the preset value according to the correspondence. The washing machine presets independent preset times value for each fault; in the relationship diagram corresponding to each fault, the values of P1', P2', and P3' may be different values or the same value; p1 in the previous embodiment and P1 'in the present embodiment may be the same value, or may be different values, and P2' are the same; p3 is the same as P3'.
The maximum value of the probability of occurrence of the fault is 100%, the probability of occurrence of the fault is generally infinitely close to 100%, P1', P2', P3 'are all smaller than 100%, and P1' < P2 '< P3' in the test data. Wherein near 100% of the probability of occurrence of a fault, diagnosis should be performed more frequently due to an increase in probability of occurrence of a fault. Therefore, the difference between P1 'and P2' is considered to be larger than the difference between P2 'and P3', which can be more consistent with the probability of fault occurrence and can increase the hit rate of diagnosis to a greater extent.
As shown in fig. 5, in the second type of faults, other influencing factors may exist for a certain fault, and the relation between the number of times of use and the probability of occurrence of the fault is influenced. The second type of faults includes clogging of the intake filter screen, which will be exemplified below by the effect of water quality.
As shown in fig. 5, the washing machine is preset according to the water quality conditions of most areas, and a curve shown in a curve 1 of the number of times of use and the probability of occurrence of faults under the first water quality condition in fig. 5 is preset. When the user actually uses the water filter, the actual water quality contains fewer impurities or is softer, so that the water inlet filter screen is less prone to be blocked, and a curve shown in a curve 2 of the frequency of use and the probability of failure occurrence under the second water quality condition in fig. 5 is actually generated.
Under the first water quality, the preset first time number value of the washing machine is originally N1, but due to the change of the water quality, the washing machine adjusts the preset first time number value to be N1' so as to adapt to the actual water quality condition. Conceivably, the preset second-time preset value of the washing machine is originally N2, but the washing machine adjusts the preset first-time preset value to N2' to adapt to the actual water quality condition due to the change of the water quality.
The washing machine obtains water quality parameters, adjusts the corresponding relation between the use times and the occurrence probability of blocking of the water inlet filter screen according to the water quality parameters, and adjusts the preset times;
The specific water quality parameter acquisition mode comprises the following steps: the washing machine is provided with a water quality detection device, the water quality parameters of the actual use of the washing machine are directly obtained, the water quality detection can be carried out through a turbidity sensor arranged in the washing machine so as to adjust the curve, or the washing machine can locate the area where a user uses the washing machine, and the local water quality report is obtained through networking or the washing machine receives the water quality information input by the user so as to adjust the curve, and further, the preset frequency value is adjusted.
The adjustment of the preset value is also applicable to the adjustment of the duration preset value.
As shown in fig. 6, the washing machine has a counting function, can record the number of times of use, and judges whether the number of times of use reaches a first preset value, and when the number of times of use reaches the first preset value, the washing machine starts a fault diagnosis program to diagnose faults; when the diagnosis result is that a certain fault exists, the washing machine alarms, corresponding fault information is displayed, after the fault is eliminated, the washing machine clears the using times, and timing is performed again until the first time number preset value is reached again, and the control process is circulated; when the first diagnosis result is that no fault occurs, the washing machine continues to count time, when the using times reach a second preset value, the washing machine starts a fault diagnosis program to diagnose the fault, when the second diagnosis result is that no fault occurs, the washing machine continues to count time, when the using times reach a third preset value, the washing machine starts the fault diagnosis program to diagnose the fault, and the washing machine carries out cycle diagnosis according to the logic relation.
Example III
The washing machine also has at least one fault which belongs to the first type of faults and the second type of faults, and when the use time reaches the duration predicted value and the use times does not reach the times preset value, or when the use times reaches the times predicted value and the use time does not reach the duration preset value, the washing machine automatically starts a diagnosis program to diagnose the faults.
That is, when the duration of use and the number of times of use are in use, the washing machine is controlled according to the parameter which reaches the preset value first, for example, the probability of the filter screen blocking is affected by the duration of use as well as the number of times of use, when the duration of use reaches the preset value first, the washing machine starts the diagnostic program, and when the number of times of use reaches the preset value first, the washing machine starts the diagnostic program according to the number of times of use.
The present invention also includes a washing machine having the control method as referred to in the above embodiment. The washing machine can automatically perform fault diagnosis according to the corresponding relation of the occurrence probability of faults by setting a preset value in a timing or counting mode, so that a user can be informed of whether the washing machine has faults or not in advance, and the user can conveniently and timely remove the faults. The washing machine classifies faults, namely faults with increased occurrence probability along with time, faults with increased occurrence probability along with increased use times, corresponding relations are preset for different faults, the faults are diagnosed when the occurrence probability of the faults is high, and the hit rate of diagnosis can be increased more closely to the occurrence time of the faults.
The foregoing description is only illustrative of the preferred embodiment of the present invention, and is not to be construed as limiting the invention, but is to be construed as limiting the invention to any and all simple modifications, equivalent variations and adaptations of the embodiments described above, which are within the scope of the invention, may be made by those skilled in the art without departing from the scope of the invention.
Claims (9)
1. A control method for diagnosing faults of a washing machine is characterized in that: the method comprises the steps that a preset value is preset for parameters affecting the occurrence probability of faults, and when the parameters affecting the occurrence probability of the faults reach the preset value, a diagnosis program is automatically started to diagnose the faults;
The faults comprise blockage of the water inlet filter screen, the washing machine obtains water quality parameters, and the corresponding relation between the use times and the blockage occurrence probability of the water inlet filter screen is adjusted according to the water quality parameters, and the preset times value is adjusted; the washing machine is provided with a water quality detection device, or the washing machine can acquire a local water quality report through networking, or the washing machine receives water quality information input by a user;
the washing machine judges whether the using time reaches a first time preset value/the using times reach a first time preset value;
When the first time length preset value/the first time number preset value is reached, the washing machine starts a fault diagnosis program to diagnose faults; when the diagnosis result is that a certain fault exists, the washing machine alarms, corresponding fault information is displayed, after the fault is eliminated, the washing machine clears the using time length, and timing/counting is restarted; the control process is circulated until the first time length preset value/first time number preset value is reached again;
When the first diagnosis result is that no fault occurs, the washing machine continues to count time, when the using time length reaches a second time length preset value/a second time number preset value, the washing machine starts a fault diagnosis program to diagnose the fault, when the second diagnosis result is that no fault occurs, the washing machine continues to count time/time, when the using time length reaches a third time length preset value/a third time number preset value, the washing machine starts a fault diagnosis program to diagnose the fault, and the washing machine carries out cycle diagnosis according to the logic relation.
2. The control method for diagnosing faults of a washing machine according to claim 1, wherein the washing machine includes a first type of faults, the parameter affecting the occurrence probability of the first type of faults includes a use duration, the washing machine is preset with a duration preset value, and when the use duration reaches the duration preset value, the washing machine automatically starts a diagnosis program to diagnose the first type of faults; or the washing machine comprises a second type of faults, the parameters influencing the probability of the second type of faults comprise the use times, the washing machine is preset with a preset time value, and when the use times reach the preset time value, the washing machine automatically starts a diagnosis program to diagnose the second type of faults.
3. The method for controlling a fault diagnosis of a washing machine according to claim 2, wherein the washing machine is preset with an nth time duration preset value/an nth time number preset value, and the washing machine continues to count time/time when the nth-1 time diagnosis result is that no fault occurs, and automatically starts a diagnosis program to diagnose the fault when the use time duration/the use time number reaches the nth time duration preset value/the nth time number preset value.
4. A control method for fault diagnosis of a washing machine according to claim 3, wherein when a certain fault occurs as a result of the diagnosis, the washing machine alarms and displays fault information, and after the fault is removed, the washing machine clears the time of use/the number of times of use, and reckons/counts;
The washing machine is in communication connection with the server; when the diagnosis result is that a certain fault occurs, the washing machine obtains whether the user self-removes the fault; when the user does not self-troubleshoot, the washing machine transmits the fault information to the server, and/or the washing machine automatically contacts a serviceman.
5. The method according to claim 4, wherein the factory of the washing machine is pre-set with a correspondence between a time length of use and a probability of occurrence of a fault/a correspondence between a number of times of use and a probability of occurrence of a fault, the washing machine obtains a latest data update time length of use and a correspondence between a probability of occurrence of a fault/a number of times of use and a probability of occurrence of a fault from a server, and adjusts a preset value according to the correspondence.
6. The control method for fault diagnosis of washing machine according to claim 5, wherein each fault has an independent correspondence between a time length of use and a probability of occurrence of the fault/a correspondence between a number of times of use and a probability of occurrence of the fault, and the washing machine presets an independent time length preset value/a number of times preset value for each fault; the time duration preset value/the frequency preset value of each fault can be different corresponding to the occurrence probability of the fault.
7. The control method of fault diagnosis of washing machine according to claim 2, wherein at least one fault belongs to both the first type of fault and the second type of fault, and the washing machine automatically starts the diagnosis program to diagnose the fault when the use time reaches the predicted value of the duration and the use number does not reach the preset value of the number of times, or when the use number reaches the predicted value of the number of times and the use duration does not reach the preset value of the duration.
8. The control method for diagnosing a malfunction of a washing machine as claimed in claim 2, wherein the first type of malfunction includes at least one of motor malfunction, fan malfunction, filter clogging, sensor failure, computer board connection failure; the second type of faults at least comprise one of blockage of a water inlet filter screen, blockage of a water discharge filter screen, failure of a reed switch/micro switch, barrel collision and heating pipe faults.
9. A washing machine having the control method as claimed in any one of claims 1 to 8.
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| CN104894806A (en) * | 2014-03-05 | 2015-09-09 | 海尔集团技术研发中心 | A control method for cleaning of a filter component in a washing machine circulating water filter system |
| CN107090702A (en) * | 2017-04-10 | 2017-08-25 | 青岛海尔洗衣机有限公司 | A kind of line bits display alarm method of washer/dryer |
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| JPH11179093A (en) * | 1997-12-17 | 1999-07-06 | Toshiba Corp | Washing machine |
| KR20000033974A (en) * | 1998-11-26 | 2000-06-15 | 윤종용 | Device and method for detecting cleaning time of filtering net for washing machine |
| CN109557892A (en) * | 2017-09-26 | 2019-04-02 | 株洲中车时代电气股份有限公司 | A kind of DIO channel status detection method and embedded test system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104894806A (en) * | 2014-03-05 | 2015-09-09 | 海尔集团技术研发中心 | A control method for cleaning of a filter component in a washing machine circulating water filter system |
| CN107090702A (en) * | 2017-04-10 | 2017-08-25 | 青岛海尔洗衣机有限公司 | A kind of line bits display alarm method of washer/dryer |
| KR20190041259A (en) * | 2017-10-12 | 2019-04-22 | 주식회사 엘지화학 | System and method for diagnosing contactor life using contactor coil current |
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