CN110725099A - Control method for washing machine fault diagnosis and washing machine - Google Patents
Control method for washing machine fault diagnosis and washing machine Download PDFInfo
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- 238000005406 washing Methods 0.000 title claims abstract description 198
- 238000003745 diagnosis Methods 0.000 title claims abstract description 71
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 49
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- 238000004092 self-diagnosis Methods 0.000 description 5
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Abstract
The invention discloses a control method for washing machine fault diagnosis and a washing machine, and relates to the field of household appliances. The washing machine of the invention presets preset values for parameters influencing the fault occurrence probability, and when the parameters influencing the fault occurrence probability reach the preset values, the washing machine automatically starts a diagnostic program to diagnose the fault. The washing machine sets a preset value, can autonomously carry out fault diagnosis by timing or counting and according to the corresponding relation of the fault occurrence probability, can inform a user whether the washing machine has a fault in advance, and is convenient for the user to remove the fault in time. The washing machine diagnoses the fault when the fault occurrence probability is higher, so that the fault occurrence time can be closer to, and the diagnosis hit rate is increased.
Description
Technical Field
The invention belongs to the field of household appliances, and particularly relates to a control method for washing machine fault diagnosis and a washing machine.
Background
The household appliances with different functions in a common household can not be used continuously by a user after the household appliances are broken down, the faults need to be eliminated, the fault alarm can be directly carried out to prompt the user when the current household appliances, such as a washing machine and a washing machine, are broken down, and the user can only search a specification or contact with after-sales personnel or maintenance personnel for processing.
In the prior art, a fault diagnosis program of household appliances such as a washing machine and the like can automatically diagnose faults, display specific information of the faults, and identify, analyze and provide proper services in the diagnosis process, but by adopting the method, the self-diagnosis of the washing machine needs to be carried out after a user inputs a self-diagnosis command, and if the user does not input the self-diagnosis command in time, the self-diagnosis is not carried out, so that the washing machine directly carries out fault alarm, and the user cannot remove the faults in advance.
The household appliances have more possible fault types, when the faults occur, the washing machine needs to be comprehensively diagnosed to obtain corresponding diagnosis results, and the diagnosis process consumes longer time.
The present invention has been made in view of this situation.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides 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 technical scheme that:
a control method for the failure diagnosis of a washing machine is characterized in that the washing machine presets preset values for parameters influencing the failure occurrence probability, and when the parameters influencing the failure occurrence probability reach the preset values, the washing machine automatically starts a diagnosis program to diagnose the failure.
Specifically, the washing machine comprises a first type of fault, parameters influencing the occurrence probability of the first type of fault comprise a using time length, a preset time length value is preset in the washing machine, and when the using time length reaches the preset time length value, the washing machine automatically starts a diagnostic program to diagnose the first type of fault;
specifically, the washing machine comprises a second type of fault, the parameters influencing the probability of the second type of fault comprise the using times, the washing machine is preset with a preset time value, and when the using times reach the preset time value, the washing machine automatically starts a diagnostic program to diagnose the second type of fault.
The washing machine is preset with an Nth time length preset value/an Nth time number preset value, when the Nth-1 th diagnosis result shows that no fault occurs, the washing machine continues to count time, and when the use time length/the use time number reach the Nth time length preset value/the Nth time number 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 gives an alarm and displays fault information, and after the fault is eliminated, the washing machine clears the use duration/use times and counts/counts again;
preferably, the washing machine is in communication connection with a server; when the diagnosis result is that a certain fault occurs, the washing machine acquires whether the user gets rid of the fault by himself or herself; when the user does not remove the fault by himself, the washing machine transmits fault information to the server, and/or the washing machine automatically contacts a maintenance person.
The washing machine leaves the factory and is preset with a corresponding relation between the use time and the fault occurrence probability/a corresponding relation between the use times and the fault occurrence probability, the washing machine obtains the latest data from the server to update the corresponding relation between the use time and the fault occurrence probability/the corresponding relation between the use times and the fault occurrence probability, and the preset value is adjusted according to the corresponding relation.
Each fault has an independent corresponding relation between the use time length and the fault occurrence probability/a corresponding relation between the use times and the fault occurrence probability, and the washing machine is preset with an independent preset time length value/preset time number value for each fault;
preferably, the preset time length/preset number of times of each fault may be different from the corresponding fault occurrence probability.
The washing machine has at least one fault belonging to a first type and a second type, and automatically starts a diagnostic program to diagnose the fault when the using time reaches a time length predicted value and the using times does not reach a time length preset value or the using times reaches the time length predicted value and the using time does not reach the time length preset value.
Specifically, the first type of fault at least comprises one of motor fault, fan fault, filter blockage, sensor failure and computer board; the second type of fault at least comprises one of the faults of water inlet filter screen blockage, reed pipe/microswitch failure, barrel collision and heating pipe fault.
Specifically, the second type of fault comprises the blockage of a water inlet filter screen, and the washing machine acquires a water quality parameter, adjusts the corresponding relation between the use times and the occurrence probability of the blockage of the water inlet filter screen according to the water quality parameter and adjusts the preset value of the times;
preferably, the washing machine is provided with a water quality detection device, or the washing machine can be networked to obtain a local water quality report, or the washing machine receives water quality information input by a user.
The invention also comprises a washing machine with the control method for fault diagnosis.
After the technical scheme is adopted, compared with the prior art, the invention has the following beneficial effects.
The washing machine can automatically diagnose the fault by setting a preset value, timing or counting and according to the corresponding relation of the fault occurrence probability, can inform a user whether the washing machine has the fault in advance, and is convenient for the user to timely eliminate the fault.
The washing machine classifies faults, the faults are faults with the probability of occurrence increasing along with the time, the faults with the probability of occurrence increasing along with the increase of the using times, the washing machine presets corresponding relations aiming at different faults, the faults are diagnosed when the probability of occurrence of the faults is larger, the time of occurrence of the faults can be closer, and the hit rate of diagnosis is increased.
The following describes 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, 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 without limiting the invention to the right. It is obvious that the drawings in the following description are only some embodiments, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a schematic diagram illustrating a correspondence relationship between a service life and a failure occurrence probability of one failure in a first category of failures according to the present invention;
FIG. 2 is a schematic diagram illustrating a correspondence relationship between a service life and a failure occurrence probability of another failure in the first type of failure according to the present invention;
FIG. 3 is a schematic diagram of a control method for diagnosing a first type of fault according to the present invention;
FIG. 4 is a diagram illustrating a correspondence relationship between the number of times of use of one fault and the occurrence probability of the fault in the second type of fault according to the present invention;
FIG. 5 is a schematic diagram illustrating adjustment of correspondence between the number of times of use of one fault and the occurrence probability of the fault in the second class of faults according to the present invention;
fig. 6 is a schematic diagram of a control method for diagnosing a second type of fault according to the present invention.
In the figure: 1. using times and fault occurrence probability curve under the first water quality condition; 2. using times and fault occurrence probability curve under the second water quality condition.
It should be noted that the drawings and the description are not intended to limit the scope of the inventive concept in any way, but to illustrate it by a person skilled in the art with reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and the following embodiments are used for illustrating the present invention and are not intended to limit the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular 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 otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The invention relates to a control method for washing machine fault diagnosis, by which a washing machine can automatically start a fault diagnosis program to carry out fault diagnosis on the washing machine without receiving instructions of a user.
The washing machine may have various faults in the using process, parameters influencing the probability of the faults are various, such as the quality of parts per se, the climate condition of the environment where the washing machine is located, and the using time of the washing machine, so that the parts are aged and the faults occur, and the using times of the parts per se or the using times of the washing machine also influence the probability of the faults, wherein the using time and the using times can be easily monitored by the washing machine, the washing machine generally has a timing or counting function or is provided with a corresponding program, and the using time and the using times can be slowly accumulated, so that a certain corresponding relation is formed with the probability of the faults. Generally, the longer the washing machine is used, or the more the number of uses, the more the probability of malfunction occurrence increases.
In view of the above situation, the control method for washing machine fault diagnosis according to the present invention is that the washing machine presets a preset value for a parameter affecting the probability of occurrence of a fault, and when the parameter affecting the probability of occurrence of a fault reaches the preset value, the washing machine automatically starts a diagnosis program to diagnose the fault. The method comprises the steps of analyzing the corresponding service condition of the current washing machine, analyzing whether potential hidden danger of fault alarm exists, if the potential hidden danger of fault alarm does not exist, continuing running of the washing machine, diagnosing again at the next node, if the potential hidden danger of fault alarm exists, analyzing specific information of fault or specific information of hidden danger by the washing machine, sending prompt information at a washing machine interface or a mobile phone APP in advance, and prompting a user to process in advance so as to prevent the user from failing to cause the washing machine to be normally used in advance and delay the time of the user.
Example one
In this embodiment, the parameter that affects the probability of occurrence of the fault is the duration of use.
The washing machine includes a first type of malfunction, which is a malfunction in which the probability of occurrence of the malfunction increases as the length of use increases. The faults can include motor faults, fan faults, filter blockage, sensor failures, computer board connection failures and the like, and in the first faults, the probability of faults occurring is increased along with the passage of time even if the washing machine is not frequently used.
The washing machine is provided with components for providing power such as a motor and a fan, and the motor and the fan can be in failure along with the increase of the service life; as the length of time of use of the lint filter or the filter net increases, lint adheres to the lint filter or the filter net in a large amount, and a problem occurs in the event of clogging. In addition, the probability of fault occurrence is increased due to the increase of the service life of various sensors, when the service life of the devices reaches a preset value, the washing machine automatically starts a fault diagnosis program, the functions of each device are detected, such as the functions of the motor, the connection between the motor and each computer board, the cleaning period of the thread scrap filter or the filter screen, the parameters of each sensor, the connection between each sensor and the computer board, when a certain device is found in a diagnosis mode, the hidden danger is possibly generated, different prompts can be made according to the treatment mode with problems, for example, if the thread scrap filter or the filter screen needs to be cleaned, the user is directly prompted to clean the thread scrap filter or the filter screen, if the performance of a certain device is reduced or the connection is poor and the user can not process the device by himself, the user can be directly prompted to contact the user for processing at home after sale.
As shown in fig. 1, fig. 1 shows a correspondence relationship between a service life of a certain fault and a fault occurrence probability. The corresponding relation can be represented in a curve form, and can also be preset in other forms. The curve in fig. 1 may be preset before factory shipment, so that the washing machine can call data information in the correspondence relationship during the control process.
The preset time length value is preset in the washing machine, and the preset time length value is set according to the fault occurrence probability. For example, the developer considers that when the probability of occurrence of the fault reaches 50%, it is necessary to start a diagnostic program to diagnose the fault, and the washing machine sets the preset time length value as the corresponding use time length when the probability of occurrence of the fault is 50%.
The preset time length values include a set of preset values, as shown in fig. 1, the service time length T1 is a first preset time length value, when the service time length reaches the first preset time length value, the washing machine starts a diagnostic program to diagnose, and the determination of the service time length T1 is set according to the corresponding probability of occurrence of the fault.
For convenience of explaining the setting manner of the preset time length value, the probabilities P1, P2, and P3 and the use time lengths T1, T2, and T3 are assigned.
When the developer considers that the fault occurrence probability P1 is 50%, the first fault diagnosis is necessary, according to the corresponding relation, T1 is 100h and is set as a first time length preset value, and when the service life reaches 100h, the washing machine automatically starts a diagnosis program to diagnose the fault.
And after the first fault diagnosis, if the diagnosis result shows that no fault occurs, performing second fault diagnosis when the service life reaches a second preset time length value, wherein the research and development personnel think that the second fault diagnosis is necessary when the fault occurrence probability P2 is 70%, setting T2 h as 120h as the second preset time length value according to the corresponding relation, and when the service life reaches 120h, restarting the diagnostic program to diagnose the fault by the washing machine.
When the diagnosis result is that no fault occurs after the second fault diagnosis, performing third fault diagnosis when the service time reaches a third time preset value; and the research and development personnel think that the third fault diagnosis is necessary when the fault occurrence probability P3 is 80%, then according to the corresponding relation, the T3 is 135h and is set as the third time length preset value, and when the using time length reaches 135h, the washing machine starts the diagnosis program for the third time to diagnose the fault.
When the last diagnosis result shows that no fault occurs, the washing machine does not need to reset the service time length, but continues to accumulate the service time length, and carries out next fault diagnosis, the washing machine is preset with an Nth time length preset value, when the N-1 th diagnosis result shows that no fault occurs, the washing machine continues to time, and when the service time length reaches the Nth time length preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The above 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 gives an alarm and displays fault information, after the fault is eliminated, the washing machine clears the service life, times again, the cleared service life continues to accumulate, and when the service life reaches a first time preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The existing washing machine has a networking function, can be in communication connection with a server to transmit data, and obtains whether a user gets rid of a fault or not when a certain fault occurs according to a diagnosis result; when the user can automatically remove the fault, for example, the user cleans the filter screen and removes the fault of the filter screen blockage, the user can select the fault on the washing machine to be removed, and the parameter of the service life of the fault is cleared. When the user does not remove the fault by self, the washing machine transmits the fault information to the server, or the washing machine automatically contacts maintenance personnel, and after the maintenance personnel remove the fault, the service life is reset.
As shown in fig. 1 and fig. 2, since the curve relationship between the service time corresponding to each fault and the fault occurrence probability is different, the preset value of the time corresponding to the fault is also 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, that is, the probability of occurrence of the fault increases more as the use time period increases, and 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, that is, the probability of occurrence of the fault increases and becomes slower as the use time period increases.
Fig. 1 and fig. 2 are only illustrations, the washing machine leaves a factory and presets a corresponding relationship between the service time length and the fault occurrence probability corresponding to each fault, each fault has an independent corresponding relationship between the service time length and the fault occurrence probability, the corresponding relationship is obtained through a plurality of tests before leaving the factory and corresponding data is obtained through feedback in the use process of other users, the local washing machine obtains the latest data from the server to update the corresponding relationship between the service time length and the fault occurrence probability, and the preset value is adjusted according to the corresponding relationship. The washing machine presets an independent preset time length value for each fault; in the relationship diagram corresponding to each failure, the values of P1, P2, and P3 may be different or the same.
The maximum value of the fault occurrence probability is 100%, in experimental data, the fault occurrence probability is generally infinitely close to 100%, P1, P2 and P3 are all less than 100%, and P1 < P2 < P3. Wherein the diagnosis should be performed more frequently due to an increase in the probability of occurrence of a failure at a probability of occurrence of approximately 100%. Therefore, the difference between P1 and P2 is larger than the difference between P2 and P3, which can better meet the probability of failure occurrence and can increase the diagnostic hit rate to a greater extent.
As shown in fig. 3, the washing machine has a timing function, and can record the usage duration, the washing machine determines whether the usage duration reaches a first duration preset value, and when the usage duration reaches the first duration preset value, the washing machine starts a fault diagnosis program to diagnose a fault; when the diagnosis result shows that a certain fault exists, the washing machine gives an alarm and displays corresponding fault information, after the fault is eliminated, the washing machine clears the use time length and times again, and the control process is circulated until the first time length preset value is reached again; and when the first diagnosis result shows that no fault occurs, the washing machine continues timing, when the service life reaches a second time length preset value, the washing machine starts a fault diagnosis program to diagnose the fault, when the second diagnosis result shows that no fault occurs, the washing machine continues timing, when the service life reaches a third time length preset value, the washing machine starts the fault diagnosis program to diagnose the fault, and the washing machine performs cycle diagnosis according to the logic relation.
Example two
In this embodiment, the parameter that affects the probability of occurrence of the fault is the number of times of use.
The washing machine includes a second type of malfunction, and the first type of malfunction is a malfunction in which the probability of occurrence of the malfunction increases as the number of uses increases. The faults can include water inlet filter screen blockage, water discharge filter screen blockage, reed pipe/microswitch failure, barrel collision and heating pipe faults. In the second type of failure, as the number of uses increases, the probability of occurrence of the failure increases every time the number of uses increases.
For faults possibly caused by the increase of the using times, for example, water inlet filter screens are blocked or water inlet is slow due to the fact that water quality at the places of users is too hard or impurities are too much, water drainage is slow due to the fact that water drain valves are blocked when the using times of the washing machine are many, the performance of reed pipes or micro switches is reduced due to the fact that the users frequently open covers, a barrel collision behavior is caused by the fact that the washing machine is placed unevenly or clothes are uneven, the situation that heating pipes are used for the heating function of the washing machine and the like, self diagnosis can be conducted according to different using times of specific devices, and different processing modes are conducted.
As shown in fig. 4, fig. 4 shows a correspondence relationship between the number of times a certain fault is used and the probability of occurrence of the fault. The corresponding relation can be represented in a curve form, and can also be preset in other forms. The curve in fig. 4 may be preset before factory shipment, so that the washing machine can call data information in the correspondence relationship during the control process.
The washing machine is preset with a preset frequency value, and the preset frequency value is set according to the fault occurrence probability. For example, the developer considers that when the probability of occurrence of the 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 as the corresponding number of times of use when the probability of occurrence of the fault is 50%.
The preset number of times includes a set of preset values, as shown in fig. 4, the number of times of use N1 is a preset first number of times, when the number of times of use reaches the preset first number of times, the washing machine starts a diagnostic program to diagnose, and the determination of the number of times of use N1 is set according to the corresponding probability of occurrence of a fault.
For convenience of explaining the setting manner of the preset times, the probabilities P1 ', P2 ', P3 ' and the usage times N1, N2, and N3 are assigned and explained below.
When the developer considers that the first fault diagnosis is necessary when the fault occurrence probability P1' is 50%, N1 is set to the first preset value according to the correspondence, and when the number of uses reaches 100, the washing machine automatically starts the diagnostic program to diagnose the fault.
And when the diagnosis result is that no fault occurs after the first fault diagnosis, performing the second fault diagnosis when the using frequency reaches a second preset value, wherein the research and development personnel think that the second fault diagnosis is necessary when the fault occurrence probability P2' is 70 percent, setting N2 which is 120 times as the second preset value according to the corresponding relation, and when the using frequency reaches 120 times, starting the diagnostic program again to diagnose the fault by the washing machine.
When the diagnosis result is that no fault occurs after the second fault diagnosis, performing third fault diagnosis when the use times reach a third preset value; the developer considers that the third fault diagnosis is necessary when the fault occurrence probability P3' is 85%, then according to the corresponding relation, N3 is 130 times set as a third preset value, and when the number of times of use reaches 130 times, the washing machine starts the diagnostic program for the third time to diagnose the fault.
When the number of times corresponding to the selected fault occurrence probability is not an integer, the number of times can be selected to be close to the integer.
When the last diagnosis result shows that no fault occurs, the washing machine does not need to reset the using times, but continues to accumulate the using times and carries out next fault diagnosis, the washing machine is preset with an Nth preset value of the using times, when the Nth-1 th diagnosis result shows that no fault occurs, the washing machine continues to count, and when the using times reach the Nth preset value of the using times, the washing machine automatically starts a diagnosis program to diagnose the fault.
The above 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 gives an alarm and displays fault information, after the fault is eliminated, the washing machine clears the using times, counts again, and the cleared using times are accumulated again, and when the using times reach a first preset value, the washing machine automatically starts a diagnosis program to diagnose the fault.
The existing washing machine has a networking function, can be in communication connection with a server to transmit data, and obtains whether a user gets rid of a fault or not when a certain fault occurs according to a diagnosis result; when the user can automatically remove the fault, for example, the user cleans the filter screen and removes the fault of the filter screen blockage, the user can select the fault on the washing machine to be removed, and the parameter of the using times of the fault is cleared. When the user does not remove the fault by self, the washing machine transmits the fault information to the server, or the washing machine automatically contacts maintenance personnel, and the using times are reset after the maintenance personnel remove the fault.
As shown in fig. 4, since the curve relationship between the number of times of use corresponding to each fault in the second type of fault and the occurrence probability of the fault is different, the preset number of times corresponding to the fault is also different.
Fig. 4 is a diagram illustrating only by way of example, the factory of the washing machine presets a corresponding relationship between the number of times of use corresponding to each fault and the fault occurrence probability, each fault has an independent corresponding relationship between the number of times of use and the fault occurrence probability, the corresponding relationship is obtained through a plurality of tests before the factory of the washing machine, and corresponding data is obtained through feedback in the use process of other users, the local washing machine obtains the latest data from the server to update the corresponding relationship between the number of times of use and the fault occurrence probability, and adjusts the preset value according to the corresponding relationship. The washing machine presets an independent frequency preset value for each fault; in the relationship diagram corresponding to each fault, the values of P1 ', P2 ' and P3 ' may be different or the same; p1 in the previous embodiment and P1 'in the present embodiment may be the same value or different values, and P2 and P2' are the same; p3 is similar to P3'.
The maximum value of the fault occurrence probability is 100%, in experimental data, the fault occurrence probability is generally infinitely close to 100%, P1 ', P2' and P3 'are all less than 100%, and P1' < P2 '< P3'. Wherein the diagnosis should be performed more frequently due to an increase in the probability of occurrence of a failure at a probability of occurrence of approximately 100%. Therefore, the difference between P1 'and P2' is larger than the difference between P2 'and P3', which can better meet the probability of failure occurrence and can increase the diagnostic hit rate to a greater extent.
As shown in fig. 5, in the second type of failure, there may be other influencing factors for a certain failure, which influence the relationship between the number of uses and the occurrence probability of the failure. The second type of malfunction includes a water intake screen clogging, 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 regions, and a curve shown in a curve 1 of the number of times of use and the probability of occurrence of a fault under the first water quality condition in fig. 5 is preset. When the user actually uses the water, the actual water quality contains less impurities, or the water quality is softer, so that the water inlet filter screen is less prone to be blocked, and thus a curve shown in a curve 2 of the number of times of use and the probability of occurrence of faults under the second water quality condition in fig. 5 is actually generated.
Under the first water quality, the preset first time number preset value of the washing machine is originally N1, but due to the change of the water quality, the washing machine adjusts the first time number preset 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 due to the change of the water quality, the washing machine adjusts the preset first time preset value to N2' to adapt to the actual water quality condition.
The washing machine acquires water quality parameters, adjusts the corresponding relation between the use times and the occurrence probability of the blockage of the water inlet filter screen according to the water quality parameters, and adjusts the preset value of the times;
the specific way of obtaining the water quality parameters comprises: the washing machine is provided with a water quality detection device, water quality parameters actually used by the washing machine are directly obtained, the curve can be adjusted through a built-in turbidity sensor of the washing machine in the water quality detection, or the washing machine can be used for positioning a region where a user uses the washing machine, and a local water quality report is obtained in a networking mode or the washing machine receives water quality information input by the user, so that the curve is adjusted, and further, the frequency preset value is adjusted.
The above-mentioned adjustment of the preset value is also applicable to the adjustment of the preset value of the duration.
As shown in fig. 6, the washing machine has a counting function, and can record the number of times of use, the washing machine determines 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 a fault; when the diagnosis result shows that a certain fault exists, the washing machine gives an alarm and displays corresponding fault information, after the fault is eliminated, the washing machine clears the use times, and the time is counted again until the preset value of the first time is reached again, and the control process is circulated; and when the first diagnosis result shows that no fault occurs, the washing machine continues timing, 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 shows that no fault occurs, the washing machine continues timing, 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 performs cycle diagnosis according to the logic relation.
EXAMPLE III
The washing machine also has at least one fault belonging to a first type and a second type, and when the using time length reaches the time length predicted value and the using times does not reach the preset time value, or when the using times reaches the time length predicted value and the using time length does not reach the preset time value, the washing machine automatically starts a diagnosis program to diagnose the fault.
That is, in the time length of use and the number of times of use, the washing machine is controlled according to the parameters which reach the preset value first, for example, the probability of the filter screen being blocked is influenced by the time length of use and the number of times of use, when the time length of use reaches the preset value of the time length first, the washing machine starts the diagnosis program, and when the number of times of use reaches the preset value of the number of times first, the washing machine starts the diagnosis program according to the number of times of use.
The present invention also includes a washing machine having the control method involved in the above embodiments. The washing machine can automatically diagnose the fault by setting a preset value, timing or counting and according to the corresponding relation of the fault occurrence probability, can inform a user whether the washing machine has the fault in advance, and is convenient for the user to timely eliminate the fault. The washing machine classifies faults, the faults are faults with the probability of occurrence increasing along with the time, the faults with the probability of occurrence increasing along with the increase of the using times, the washing machine presets corresponding relations aiming at different faults, the faults are diagnosed when the probability of occurrence of the faults is larger, the time of occurrence of the faults can be closer, and the hit rate of diagnosis is increased.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A control method for washing machine fault diagnosis is characterized in that: the washing machine presets preset values for parameters influencing the fault occurrence probability, and when the parameters influencing the fault occurrence probability reach the preset values, the washing machine automatically starts a diagnostic program to diagnose the fault.
2. The control method for the fault diagnosis of the washing machine as claimed in claim 1, wherein the washing machine comprises a first type of fault, the parameter influencing the occurrence probability of the first type of fault comprises a use time length, the washing machine is preset with a preset time length value, and when the use time length reaches the preset time length value, the washing machine automatically starts a diagnosis program to diagnose the first type of fault;
or the washing machine comprises a second type of fault, the parameter influencing the probability of the second type of fault comprises the using times, the washing machine is preset with a preset time value, and when the using times reach the preset time value, the washing machine automatically starts a diagnostic program to diagnose the second type of fault.
3. The method for controlling fault diagnosis of a washing machine according to claim 2, wherein the washing machine is preset with an nth length preset value/nth number preset value, the washing machine continues to count/count when the nth-1 diagnosis result indicates no fault, and the washing machine automatically starts a diagnosis program to diagnose the fault when the duration/number of uses reaches the nth length preset value/nth number preset value.
4. The control method for washing machine fault diagnosis according to claim 3, wherein when the diagnosis result is that a certain fault occurs, the washing machine gives an alarm and displays fault information, and after the fault is eliminated, the washing machine clears the use duration/use times and counts again;
preferably, the washing machine is in communication connection with a server; when the diagnosis result is that a certain fault occurs, the washing machine acquires whether the user gets rid of the fault by himself or herself; when the user does not remove the fault by himself, the washing machine transmits fault information to the server, and/or the washing machine automatically contacts a maintenance person.
5. The control method for washing machine fault diagnosis according to claim 4, wherein the washing machine leaves a factory and is preset with a corresponding relationship between usage duration and fault occurrence probability/a corresponding relationship between usage times and fault occurrence probability, the washing machine obtains the latest data from the server to update the corresponding relationship between usage duration and fault occurrence probability/the corresponding relationship between usage times and fault occurrence probability, and adjusts the preset value according to the corresponding relationship.
6. The control method for washing machine fault diagnosis according to claim 5, wherein each fault has an independent correspondence between a duration of use and a probability of occurrence of the fault/a correspondence between a number of uses and a probability of occurrence of the fault, and the washing machine presets an independent preset duration/number of times for each fault;
preferably, the preset time length/preset number of times of each fault may be different from the corresponding fault occurrence probability.
7. The control method for failure diagnosis of washing machine according to claim 2, wherein at least one failure is one of the first type and the second type, and the washing machine automatically starts a diagnosis program to diagnose the failure when the usage time reaches the predicted value of the time length and the usage time does not reach the preset value of the time length, or when the usage time reaches the predicted value of the time length and the usage time does not reach the preset value of the time length.
8. The control method for diagnosing the faults of the washing machine as claimed in claim 2, wherein the first type of faults at least comprise one of motor faults, fan faults, filter blockage, sensor failures and computer board connection failures; the second type of fault at least comprises one of the faults of water inlet filter screen blockage, water discharge filter screen blockage, reed pipe/microswitch failure, barrel collision and heating pipe fault.
9. The control method of the washing machine fault diagnosis according to claim 8, wherein the second type of fault includes the blockage of the water inlet filter screen, the washing machine obtains the water quality parameter and adjusts the corresponding relationship between the use times and the occurrence probability of the blockage of the water inlet filter screen according to the water quality parameter, and the preset value of the times is adjusted;
preferably, the washing machine is provided with a water quality detection device, or the washing machine can be networked to obtain a local water quality report, or the washing machine receives water quality information input by a user.
10. A washing machine having the control method as claimed in any one of claims 1 to 9.
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