Determination method, program, determination system, and information terminal

Abstract

The determination method has a first step (S1), a second step (S2), a third step (S3), a fourth step (S4), a fifth step (S5), and a sixth step (S6). In the first step, the washing tank is rotated without containing the laundry. In the second step, the rotational speed of the washing tank is increased from the first rotational speed to a second rotational speed for a predetermined period of time. In a third step, acceleration data in each of the three-axis directions within a predetermined period of time is acquired from an acceleration sensor. In a fourth step, determination data including amplitude data in each of the three axial directions is calculated on the basis of the acceleration data in each of the three axial directions. In a fifth step, the determination data and the determination conditions are used to determine whether or not the washing machine is in a foot lifting state in which one or more of the plurality of foot parts are separated from the installation surface of the washing machine. In the sixth step, a determination result is output.

Description

Technical Field

[0001] The present disclosure relates to a determination method and the like for determining a state of a washing machine. Background Art

[0002] For example, Patent Document 1 discloses a fully automatic washing and drying machine. The fully automatic washing and drying machine comprises: a frame; an outer tank elastically supported in the frame; a washing and dehydrating tank rotatably arranged in the outer tank to accommodate laundry; a driving unit to rotate the washing and dehydrating tank; an acceleration sensor capable of detecting vibration of the frame tilting when the washing and dehydrating tank rotates due to the setting state of the fully automatic washing and drying machine; a control unit; and a buzzer. The control unit rotates the washing and dehydrating tank through the driving unit, and based on the vibration of the frame tilting exceeding the allowable size, the buzzer is notified.

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Publication No. 2020-069260 Summary of the invention

[0006] Problems to be solved by the invention

[0007] The present disclosure provides a determination method and the like that can easily grasp the installation environment of a washing machine.

[0008] Means for solving problems

[0009] A determination method according to one embodiment of the present disclosure includes a first step, a second step, a third step, a fourth step, a fifth step, and a sixth step. In the first step, in a washing machine having a plurality of legs, the washing tub is rotated without accommodating laundry. In the second step, the rotation speed of the washing tub is increased from a first rotation speed to a second rotation speed in a specified time period during the execution of the first step. In the third step, acceleration data of each of the three mutually orthogonal axes of the washing tub within the specified time period is obtained from an acceleration sensor installed in the washing tub. In the fourth step, determination data including amplitude data of each of the three axes is calculated based on the obtained acceleration data of each of the three axes. In the fifth step, the calculated determination data and a pre-set determination condition are used to determine whether the leg is in a lifted state in which one or more of the legs of the plurality of legs are separated from the installation surface of the washing machine. In the sixth step, the determination result in the fifth step is output.

[0010] A program according to one aspect of the present disclosure causes one or more processors to execute the above-described determination method.

[0011] A determination system according to one embodiment of the present disclosure includes a control unit, an acquisition unit, a calculation unit, a determination unit, and an output unit. The control unit rotates a washing tub without accommodating laundry in a washing machine having a plurality of legs, and increases the rotation speed of the washing tub from a first rotation speed to a second rotation speed in a predetermined time period during the driving of the washing tub. The acquisition unit acquires acceleration data of each of the three mutually orthogonal axes of the washing tub in the predetermined time period from an acceleration sensor installed in the washing tub. The calculation unit calculates determination data including amplitude data of each of the three axes based on the acquired acceleration data of each of the three axes. The determination unit uses the calculated determination data and a predetermined determination condition to determine whether the leg is in a lifted state in which one or more of the plurality of legs is separated from the installation surface of the washing machine. The output unit outputs the determination result of the determination unit.

[0012] An information terminal according to one embodiment of the present disclosure is an information terminal capable of communicating with a washing machine, the washing machine having a plurality of legs and comprising: a driving unit for rotating a washing tub without accommodating laundry; and a control unit for increasing the rotation speed of the washing tub from a first rotation speed to a second rotation speed in a predetermined time period during the driving of the washing tub. The information terminal comprises a calculating unit, a determining unit, and an output unit. The calculating unit calculates determination data including amplitude data of each of the three mutually orthogonal axes of the washing tub within the predetermined time period, based on acceleration data of each of the three mutually orthogonal axes of the washing tub obtained from an acceleration sensor installed on the washing tub. The determining unit uses the calculated determination data and a predetermined determination condition to determine whether the leg is in a lifted state in which one or more of the legs are separated from the installation surface of the washing machine. The output unit outputs the determination result of the determining unit.

[0013] Effects of the Invention

[0014] According to the determination method and the like in the present disclosure, there is an advantage in that the installation environment of the washing machine can be easily understood. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a block diagram showing the overall configuration including the determination system in the embodiment.

[0016] Figure 2 This is the appearance diagram of the washing machine.

[0017] Figure 3 This is a flowchart showing an example of the operation of the determination system in the embodiment.

[0018] Figure 4 This is a diagram showing time series data of the rotation speed of the washing machine when it is idling.

[0019] Figure 5This is a diagram showing an example of the distribution of feature quantities in a predetermined time period.

[0020] Figure 6 This is a diagram showing an example of the first main condition among the determination conditions.

[0021] Figure 7 This is a diagram showing an example of the second main condition among the determination conditions.

[0022] Figure 8 It is a block diagram showing the overall configuration of a determination system in a first modified example of the embodiment.

[0023] Fig. 9 It is a block diagram showing the overall configuration of a determination system in a second modified example of the embodiment. DETAILED DESCRIPTION

[0024] [1. Knowledge that forms the basis of the present disclosure]

[0025] First, the inventor's focus is described below.

[0026] As the reason for users to request washing machine repair, vibration or noise during dehydration operation is the most common. There is a problem that the vibration or noise during dehydration operation is caused by two situations: one is caused by a malfunction of the washing machine and the other is caused by the installation environment of the washing machine, but it is difficult to distinguish which one is caused.

[0027] Here, regarding the fault judgment of a washing machine, there is a method of judging by the vibration data of the washing machine detected by an acceleration sensor, but the current situation is that there is no method of judging the defect of the installation environment of the washing machine based on the vibration data of the washing machine. Therefore, under the current situation, the practitioners who provide repair services go to the site and judge whether it is a fault of the washing machine or a defect of the installation environment of the washing machine according to the manual. However, in such a method in which the practitioners go to the site to judge, there are problems such as a heavy burden on the practitioners because they need to go to the site, and there is also the possibility of human error.

[0028] In addition, in the fully automatic washing and drying machine disclosed in patent document 1, the vibration of the frame tilt when the washing and dehydrating tank rotates is detected by an acceleration sensor, but the cause of the detected vibration cannot be determined. Therefore, in the fully automatic washing and drying machine disclosed in patent document 1, there is still a problem that the practitioners who provide repair services as mentioned above have to determine the cause of the vibration.

[0029] In view of the above, the inventors have completed the present disclosure.

[0030] Hereinafter, the embodiments are described in detail with reference to the accompanying drawings. In addition, the embodiments described below all represent general or specific examples. The numerical values, shapes, materials, constituent elements, configuration positions of constituent elements, connection methods, steps, order of steps, etc. shown in the following embodiments are examples and are not intended to limit the present disclosure. In addition, the constituent elements in the following embodiments that are not recorded in the claims are described as arbitrary constituent elements.

[0031] In addition, each figure is a schematic diagram and does not necessarily illustrate strictly. In addition, in each figure, the same reference numerals are attached to substantially the same structure, and the repeated description is sometimes omitted or simplified.

[0032] (Implementation Method)

[0033] [2. Structure]

[0034] [2-1. Overall structure]

[0035] First, use Figure 1 The overall configuration including the determination system 1 in the embodiment will be described. Figure 1 1 is a block diagram showing the overall configuration including the determination system 1 in the embodiment. The determination system 1 is a system for determining the state of the washing machine 2, and in this case, is a system for determining whether the washing machine 2 is in the foot-lifting state.

[0036] The "leg-lifting state" mentioned here refers to the plurality of legs 20 (see Figure 2 ) in a state where one or more legs 20 are separated from a setting surface such as the ground. In this way, when the washing machine 2 is in the leg-lifting state, the vibration of the washing machine 2 or the noise caused by the vibration is likely to become larger, and the user may mistakenly determine that the washing machine 2 has a malfunction.

[0037] In the embodiment, the determination system 1 is composed of a part of the functions mounted on the washing machine 2 and a part of the functions mounted on the information terminal 3. Specifically, in the embodiment, the determination system 1 is composed of a processing unit 21 (described later) of the washing machine 2, a processing unit 31 (described later) of the information terminal 3, and a display unit 33 (described later) of the information terminal 3. In the embodiment, for example, communication can be performed between the washing machine 2 and the information terminal 3 via an external network NT1 such as the Internet. Therefore, in the embodiment, the determination system 1 transmits and receives data between the washing machine 2 and the information terminal 3 via the external network NT1, thereby performing the functions of each unit.

[0038] [2-2. Washing machine]

[0039] Next, use Figure 1 as well as Figure 2 The structure of the washing machine 2 will be described. Figure 2 It is an external view of the washing machine 2. Figure 2 (a) shows the case where the washing machine 2 is installed on the ground. Figure 2 (b) shows a case where the washing machine 2 is installed on the ground via the installation stand 4. The installation stand 4 has, for example, a function of absorbing the vibration of the washing machine 2 or a function of allowing the washing machine 2 to be freely moved by a plurality of casters. Figure 2 As shown, in the embodiment, the washing machine 2 has four legs 20. Therefore, in the embodiment, when any one of the four legs 20 is separated from the installation surface (the ground or one surface of the installation table 4), the washing machine 2 is in the raised state.

[0040] like Figure 1 As shown, the washing machine 2 includes a processing unit 21, a driving unit 22, an operation unit 23, a display unit 24, a communication unit 25, a storage unit 26, an acceleration sensor 27, and a washing tub 28. In the embodiment, as an example, the washing machine 2 is a drum-type washing machine. Of course, the washing machine 2 is not limited to a drum-type washing machine, and may also be a vertical washing machine, etc.

[0041] The processing unit 21 performs various functions of the washing machine 2. In the embodiment, the processing unit 21 has a washing function of performing a washing operation to wash the laundry contained in the washing tank 28, and a drying function of performing a drying operation to dry the laundry contained in the washing tank 28 and washed. That is, in the embodiment, the washing machine 2 is a washing machine with a drying function. The washing operation washes, rinses and / or dehydrates the laundry contained in the washing tank 28 by rotating the washing tank 28, etc., thereby washing the laundry. The drying operation dries the laundry contained in the washing tank 28 and washed, for example, by conveying dehumidified dry air through a heat pump. The "laundry" mentioned here may include, in addition to clothing, dirty items that people do not wear, such as towels.

[0042] In addition, the processing unit 21 also has a function of performing an idling operation. The "idling operation" mentioned here refers to a washing operation or a drying operation in a state where no laundry is contained in the washing tank 28, that is, in a state where the washing tank 28 is empty. In the embodiment, the idling operation is a dehydration operation in a state where the washing tank 28 is empty. The processing unit 21 performs the idling operation when the user receives a prescribed input through the operation unit 23 of the washing machine 2 or the operation unit 32 of the information terminal 3 (described later), for example. At this time, the user makes a prescribed input after confirming that the washing tank 28 is empty.

[0043] The processing unit 21 is implemented by, for example, a processor or a dedicated circuit. The processing unit 21 implements various functions by executing a computer program (software) stored in the storage unit 26 through hardware such as a processor. In addition, the above-mentioned computer program can also be stored in a memory possessed by the above-mentioned hardware. The processing unit 21 executes a function corresponding to the operation accepted by the operation unit 23. In addition, the processing unit 21 can also execute a function corresponding to the user's input accepted by the operation unit 32 of the information terminal 3, for example, by communicating with the information terminal 3 owned by the user. The details of the information terminal 3 will be described later.

[0044] The driving unit 22 is composed of a motor or the like, and rotates the washing tub 28 under the control of the processing unit 21. In addition, the driving unit 22 changes the rotation speed of the washing tub 28 under the control of the processing unit 21.

[0045] The operation unit 23 receives inputs based on user operations. The operation unit 23 is composed of, for example, buttons that receive various inputs. The operation unit 23 receives, for example, inputs for selecting an operation to be executed by the processing unit 21, inputs for selecting the content of the operation (for example, an operation mode, etc.), inputs for starting the operation, and inputs for temporarily stopping the operation. In addition, when the display unit 24 is composed of a touch panel display, the display unit 24 may also serve as a part of the operation unit 23.

[0046] The display unit 24 is, for example, a liquid crystal display, and displays various information related to the washing machine 2. For example, if the washing operation is in progress, the display unit 24 displays at least one of a character string and an image indicating that the washing operation is in progress, and a character string indicating a predicted time of the washing time, etc. Also, for example, if the drying operation is in progress, the display unit 24 displays at least one of a character string and an image indicating that the drying operation is in progress, and a character string indicating a predicted time of the drying time, etc. In addition, the display unit 24 may have a lamp that turns on or off according to the information in addition to the liquid crystal display.

[0047] The communication unit 25 communicates with the communication unit 34 of the information terminal 3 via the external network NT1. The communication between the communication unit 25 and the communication unit 34 of the information terminal 3 may be wired communication in addition to wireless communication. In addition, the standard of communication between the communication unit 25 and the communication unit 34 of the information terminal 3 is not particularly limited. In addition, the communication unit 25 may also communicate with the communication unit 34 of the information terminal 3 via a repeater such as a router.

[0048] The storage unit 26 is a storage device that stores information required for the processing performed by the processing unit 21. The information stored in the storage unit 26 includes a computer program executed by the processing unit 21. The storage unit 26 is implemented by, for example, a semiconductor memory, etc. The storage unit 26 stores the acceleration data of each of the three axis directions obtained and the calculated judgment data, etc., which are used in the judgment processing described later.

[0049] The acceleration sensor 27 is installed in the washing tank 28 to detect the acceleration of each of the three mutually orthogonal axis directions of the washing tank 28. The detection result of the acceleration sensor 27 is sent to the processing unit 21 as acceleration data and obtained by the processing unit 21. The "three-axis direction" mentioned here refers to the X-axis direction and the Y-axis direction in the XY plane (i.e., the surface parallel to the setting surface) when the washing tank 28 is observed from above, and the Z-axis direction orthogonal to the XY plane. In an embodiment, the acceleration sensor 27 is a sensor capable of detecting three-axis directions. In addition, the acceleration sensor 27 is not limited to one, but may be multiple. For example, the acceleration sensor 27 may be three sensors capable of detecting a single-axis direction.

[0050] [2-3. Information terminal]

[0051] Next, use Figure 1 The structure of the information terminal 3 is described. The information terminal 3 may include, for example, a smartphone, a tablet terminal, or a desktop or laptop personal computer. In the embodiment, the information terminal 3 is a smartphone. The information terminal 3 includes a processing unit 31, an operation unit 32, a display unit 33, a communication unit 34, and a storage unit 35.

[0052] The processing unit 31 is implemented by, for example, a processor or a dedicated circuit. The processing unit 31 implements various functions by executing a computer program (software) stored in the storage unit 35 through hardware such as a processor. In addition, the above-mentioned computer program can also be stored in a memory provided by the above-mentioned hardware. The processing unit 31 executes a function corresponding to the operation accepted by the operation unit 32. In addition, the processing unit 31 can also execute a function corresponding to the user's input accepted by the operation unit 23 of the washing machine 2, for example, by communicating with the washing machine 2.

[0053] The operation unit 32 receives input based on user operations. The operation unit 32 is composed of, for example, a touch panel display. The operation unit 32 receives, for example, inputs for selecting an operation to be performed by the processing unit 21 of the washing machine 2, inputs for selecting the content of the operation (for example, an operation mode, etc.), inputs for starting the operation, and inputs for temporarily stopping the operation. In the embodiment, the operation unit 32 is integrally formed with the display unit 33.

[0054] The display unit 33 is, for example, a liquid crystal display, and displays various information received from the washing machine 2. For example, if the washing operation is in progress, the display unit 33 displays information related to the washing operation, and if the drying operation is in progress, the display unit 33 displays information related to the drying operation. In addition, the display unit 33 displays the processing result of the processing unit 31. For example, the display unit 33 displays the processing result of the determination process described later.

[0055] The communication unit 34 communicates with the communication unit 25 of the washing machine 2 via the external network NT1. The communication between the communication unit 34 and the communication unit 25 of the washing machine 2 may be wired communication in addition to wireless communication. In addition, the standard for the communication between the communication unit 34 and the communication unit 25 of the washing machine 2 is not particularly limited. In addition, the communication between the communication unit 34 and the communication unit 25 of the washing machine 2 may be wireless communication in accordance with a short-range wireless communication standard such as BLE (Bluetooth (registered trademark) Low Energy) without going through the external network NT1.

[0056] The storage unit 35 is a storage device that stores information required for the processing executed by the processing unit 31. The information stored in the storage unit 35 includes a computer program executed by the processing unit 31. The storage unit 35 is implemented by, for example, a semiconductor memory, etc. The storage unit 35 stores determination conditions used in the determination processing described later, determination results of the determination processing, etc.

[0057] [3.Action]

[0058] The following are mainly used Figure 3 The operation of the determination system 1 in the embodiment (ie, determination method) will be described. Figure 3 2 is a flowchart showing an example of the operation of the determination system 1 in the embodiment. The operation of the determination system 1 shown below is executed when the user performs a predetermined input using the operation unit 23 of the washing machine 2 or the operation unit 32 of the information terminal 3, for example.

[0059] First, the processing unit 21 of the washing machine 2 starts idling to rotate the washing tub 28 without accommodating any laundry (S1). Step S1 corresponds to the first step in the determination method. Figure 4 The rotation speed of the washing tub 28 is changed as shown. Figure 4 2 is a graph showing time series data of the rotation speed of the washing machine 2 during idling. Figure 4 In FIG. 1 , the vertical axis represents the rotation speed of the washing tub 28, and the horizontal axis represents time.

[0060] like Figure 4 As shown, the execution period of idling is composed of a start period T1, a constant rotation period T2, a high rotation period T3 and an end period T4. The start period T1 includes an initial operation period T10, during which the initial operation of the washing tub 28 is performed and the rotation speed of the washing tub 28 gradually increases, and a rising period T11, during which the rotation speed of the washing tub 28 increases at a substantially constant slope through the initial operation period T10.

[0061] During the rising period T11 (i.e., a predetermined time period during the execution of the first step), the processing unit 21 of the washing machine 2 increases the rotation speed of the washing tub 28 from the first rotation speed r1 to the second rotation speed r2 (S2). Step S2 corresponds to the second step in the determination method. The first rotation speed r1 is, for example, several hundred rpm, and the second rotation speed r2 is approximately several hundred rpm greater than the first rotation speed r1. In addition, the rising period T11 is, for example, several tens of seconds.

[0062] During the constant rotation period T2, the processing unit 21 of the washing machine 2 maintains the rotation speed of the washing tub 28 constant (here, the second rotation speed r2). During the high rotation period T3, the processing unit 21 of the washing machine 2 changes the rotation speed of the washing tub 28 to a rotation speed greater than the second rotation speed r2. Then, during the end period T4, the processing unit 21 of the washing machine 2 gradually reduces the rotation speed of the washing tub 28 to end the idling.

[0063] In the embodiment, the processing unit 21 of the washing machine 2 corresponds to the control unit 11 of the determination system 1. That is, the control unit 11 (processing unit 21) rotates the washing tub 28 without accommodating laundry, and increases the rotation speed of the washing tub 28 from the first rotation speed r1 to the second rotation speed r2 during a predetermined time period (increasing period T11) during the driving of the washing tub 28.

[0064] Return to Figure 3 In a predetermined time period (rising period T11), the processing unit 21 of the washing machine 2 obtains acceleration data of each of the three axes (X axis direction, Y axis direction and Z axis direction) from the acceleration sensor 27 (S3). Step S3 is equivalent to the third step in the determination method. Here, the processing unit 21 of the washing machine 2 obtains acceleration data for each sampling time.

[0065] In the embodiment, the processing unit 21 of the washing machine 2 corresponds to the acquisition unit 12 of the determination system 1. That is, the acquisition unit 12 (processing unit 21) acquires the acceleration data of each of the three mutually orthogonal axes of the washing tub 28 in a predetermined time period (rising period T11) from the acceleration sensor 27 installed in the washing tub 28.

[0066] Next, the processing unit 21 of the washing machine 2 and the processing unit 31 of the information terminal 3 calculate the determination data including the amplitude data of each of the three-axis directions based on the acquired acceleration data of each of the three-axis directions (S4). Step S4 is equivalent to the fourth step in the determination method. In the embodiment, the processing unit 21 of the washing machine 2 executes step S41 in step S4, and then the processing unit 31 of the information terminal 3 executes step S42 in step S4.

[0067] In step S41 (the fourth step), the processing unit 21 of the washing machine 2 calculates the determination data including the maximum amplitude data at each predetermined time in each of the three-axis directions. Specifically, the processing unit 21 of the washing machine 2 calculates the amplitude data at each sampling time by integrating the acquired acceleration data twice for each of the three-axis directions. Furthermore, the processing unit 21 of the washing machine 2 extracts the maximum amplitude data at each predetermined time (for example, several seconds) from the amplitude data at each sampling time for each of the three-axis directions and adopts it as the determination data. The predetermined time is longer than the sampling time.

[0068] In this way, by extracting the maximum amplitude data at each predetermined time from a large amount of amplitude data and adopting it as determination data, the determination data required for determining whether the leg is lifted is ensured, and the processing load of the determination process is reduced. The processing unit 21 of the washing machine 2 transmits the extracted maximum amplitude data at each predetermined time in each of the three axis directions to the communication unit 34 of the information terminal 3 via the communication unit 25.

[0069] In step S42 (the fourth step), the processing unit 31 of the information terminal 3 calculates the average value of the maximum amplitude data in each of the three axis directions when obtaining the maximum amplitude data of the specified time in each of the three axis directions via the communication unit 34. Specifically, the processing unit 31 of the information terminal 3 calculates the average value of the maximum amplitude data in the X-axis direction, i.e., mean_X, the average value of the maximum amplitude data in the Y-axis direction, i.e., mean_Y, and the average value of the maximum amplitude data in the Z-axis direction, i.e., mean_Z. In addition, in the embodiment, the processing unit 31 of the information terminal 3 also calculates the variance of the maximum amplitude data in the X-axis direction, i.e., var_X, the variance of the maximum amplitude data in the Y-axis direction, i.e., var_Y, and the variance of the maximum amplitude data in the Z-axis direction, i.e., var_Z.

[0070] In addition, in step S42 (the fourth step), the processing unit 31 of the information terminal 3 calculates the ratio of the average values ​​of the maximum amplitude data in the two-axis directions for each of the three combinations obtained by selecting two of the three-axis directions. Specifically, the processing unit 31 of the information terminal 3 calculates mean_X / Y, which is the ratio between the average value of the maximum amplitude data in the X-axis direction and the average value of the maximum amplitude data in the Y-axis direction, mean_X / Z, which is the ratio between the average value of the maximum amplitude data in the X-axis direction and the average value of the maximum amplitude data in the Z-axis direction, and mean_Y / Z, which is the ratio between the average value of the maximum amplitude data in the Y-axis direction and the average value of the maximum amplitude data in the Z-axis direction. In addition, in the embodiment, the processing unit 31 of the information terminal 3 also calculates var_X / Y, which is the ratio between the variance of the maximum amplitude data in the X-axis direction and the variance of the maximum amplitude data in the Y-axis direction, var_X / Z, which is the ratio between the variance of the maximum amplitude data in the X-axis direction and the variance of the maximum amplitude data in the Z-axis direction, and var_Y / Z, which is the ratio between the variance of the maximum amplitude data in the Y-axis direction and the variance of the maximum amplitude data in the Z-axis direction.

[0071] Then, in step S42 (the fourth step), the processing unit 31 of the information terminal 3 uses the calculated average values ​​of the three axis directions, i.e., mean_X, mean_Y, and mean_Z, and the calculated ratios of the average values ​​of the three combinations, i.e., mean_X / Y, mean_X / Z, and mean_Y / Z, as determination data. In addition, in the embodiment, the processing unit 31 of the information terminal 3 also uses the calculated variances of the three axis directions, i.e., var_X, var_Y, and var_Z, and the calculated ratios of the variances of the three combinations, i.e., var_X / Y, var_X / Z, and var_Y / Z, as determination data.

[0072] In the embodiment, the processing unit 21 of the washing machine 2 and the processing unit 31 of the information terminal 3 correspond to the calculation unit 13 of the determination system 1. That is, the calculation unit 13 (the processing unit 21 of the washing machine 2 and the processing unit 31 of the information terminal 3) calculates the determination data including the amplitude data of each of the three-axis directions based on the acquired acceleration data of each of the three-axis directions. In addition, in the embodiment, the processing unit 21 of the washing machine 2 corresponds to the first calculation unit 131 that executes step S41 in the calculation unit 13, and the processing unit 31 of the information terminal 3 corresponds to the second calculation unit 132 that executes step S42 in the calculation unit 13.

[0073] Here, for each of the three combinations obtained by selecting two of the three axis directions, use Figure 5 The reason why the ratio of the average values ​​and the ratio of the variances of the maximum amplitude data in the two-axis directions are used as determination data will be described.

[0074] Figure 5 : is a diagram showing an example of the distribution of feature quantities in a predetermined time period (rising period T11). Figure 5 In the scatter plot shown in (a), the vertical axis represents the ratio between the average value of the maximum amplitude data in the Y-axis direction and the average value of the maximum amplitude data in the Z-axis direction, i.e., mean_Y / Z, and the horizontal axis represents the ratio between the average value of the maximum amplitude data in the X-axis direction and the average value of the maximum amplitude data in the Y-axis direction, i.e., mean_X / Y. Figure 5 In the scatter diagram shown in (b), the vertical axis represents the ratio of the variance of the maximum amplitude data in the Y-axis direction to the variance of the maximum amplitude data in the Z-axis direction, i.e., var_Y / Z, and the horizontal axis represents the ratio of the variance of the maximum amplitude data in the X-axis direction to the variance of the maximum amplitude data in the Y-axis direction, i.e., var_X / Y. In addition, Figure 5 The black circles in the figure represent data when the washing machine 2 is in the foot-lifting state, and the white circles represent data when the washing machine 2 is not in the foot-lifting state.

[0075] like Figure 5 (a) and Figure 5 As shown in (b), whether the washing machine 2 is in the leg-lifting state can be roughly separated by the boundary line shown by the dotted line. Therefore, the inventor of the present application found that by using the ratio of the average values ​​of the maximum amplitude data in the two-axis direction and the ratio of the variance as judgment data, it is possible to determine whether the washing machine 2 is in the leg-lifting state.

[0076] return Figure 3 , the processing unit 31 of the information terminal 3 performs the determination process. That is, the processing unit 31 of the information terminal 3 uses the calculated determination data and the pre-set determination conditions to determine whether the washing machine 2 is in the foot-lifting state (S5). Step S5 is equivalent to the fifth step in the determination method.

[0077] Specifically, the processing unit 31 of the information terminal 3 calculates the judgment data to satisfy the first main condition (see Figure 6 ), it is determined that the washing machine 2 is shaking, in other words, the installation environment of the washing machine 2 is unstable. Here, the state in which the washing machine 2 is shaking refers to the state in which the feet are lifted, or the state in which the washing machine 2 is easily shaken due to being installed on the installation stand 4. In addition, the processing unit 31 of the information terminal 3 determines that the calculated determination data satisfies the first main condition and the second main condition (refer to Figure 7 ) both, it is determined that the washing machine 2 is in the raised-leg state. On the other hand, when the calculated determination data does not satisfy both the first main condition and the second main condition, the processing unit 31 of the information terminal 3 determines that the washing machine 2 is not shaking, in other words, the installation environment of the washing machine 2 is stable.

[0078] Figure 6is a diagram showing an example of the first main condition in the judgment condition. Figure 6 As shown, the first main condition includes the first to seventh sub-conditions. Figure 7 is a diagram showing an example of the second main condition in the judgment condition. Figure 7 As shown, the second main condition includes the eighth to eleventh sub-conditions. Figure 6 and Figure 7 In the above description, “a1, a2”, “b1 to b3”, “c1”, “d1, d2”, “e1 to e3”, “f1, f2”, “g1, g2”, “h1”, “i1”, and “j1” are all real numbers.

[0079] If satisfied Figure 6 If any of the first to seventh sub-conditions shown in the figure is met, the processing unit 31 of the information terminal 3 determines that the first main condition is met. Figure 7 If any of the eighth to eleventh sub-conditions shown in the figure is met, the processing unit 31 of the information terminal 3 determines that the second main condition is met. The determination of the second main condition is performed only when the first main condition is met.

[0080] In the embodiment, the judgment condition (the first to eleventh sub-conditions described above) is set using a learning model that has been machine-learned. The learning model performs machine learning to output the judgment condition using the judgment data obtained by executing step S1 (first step), step S2 (second step), step S3 (third step), and step S4 (fourth step) on the washing machine 2 in the raised-leg state as learning data. In the embodiment, the learning model performs machine learning using decision tree analysis.

[0081] In the embodiment, the processing unit 31 of the information terminal 3 corresponds to the determination unit 14 of the determination system 1. That is, the determination unit 14 (the processing unit 31 of the information terminal 3) determines whether the leg is raised using the calculated determination data and the predetermined determination condition.

[0082] Then, the display unit 33 of the information terminal 3 outputs the determination result (S6) by displaying the determination result in step S5 (the fifth step) on the display. Step S6 is equivalent to the sixth step in the determination method. For example, when the determination result is such that the legs of the washing machine are lifted, the display unit 33 of the information terminal 3 displays on the display a character string such as "The legs of the washing machine may be lifted. In this case, it can be improved by adjusting the length of the legs. In addition, in a setting environment that is prone to shaking, such as using a raised platform, shaking is sometimes detected." In addition, for example, when the determination result is such that there is no leg-lifting state, the display unit 33 of the information terminal 3 displays on the display a character string such as "The setting environment of the washing machine is stable."

[0083] By confirming the above determination result, the user can understand whether the washing machine 2 is in the foot-lifting state, in other words, can understand whether there is a problem with the installation environment of the washing machine 2.

[0084] In the embodiment, the display unit 33 of the information terminal 3 corresponds to the output unit 15 of the determination system 1. That is, the output unit 15 (display unit 33 of the information terminal 3) outputs the determination result of the determination unit 14 (processing unit 31 of the information terminal 3).

[0085] In addition, as described above, in the embodiment, step S41 (a part of the fourth step), step S5 (the fifth step), and step S6 (the sixth step) are executed in information terminal 3 outside washing machine 2 .

[0086] [4. Effects, etc.]

[0087] As described above, in the determination system 1 (determination method) of the embodiment, it is possible to determine whether the washing machine 2 is in the raised-leg state in which one or more of the legs 20 of the washing machine 2 is separated from the installation surface of the washing machine 2 based on the acceleration data of each of the three mutually orthogonal axes of the washing tub 28 in the predetermined time period (rising period T11). Therefore, there is an advantage that the user can easily understand whether the washing machine 2 is in the raised-leg state, that is, the installation environment of the washing machine 2, by confirming the determination result of the determination system 1 (determination method).

[0088] Furthermore, if the user can understand the installation environment of the washing machine 2, it is easy to determine whether the vibration or noise during the dehydration operation is caused by the installation environment of the washing machine 2 or by a malfunction of the washing machine 2. Moreover, the user only entrusts the repair service provider with the malfunction determination of the washing machine 2 when it is determined that the malfunction is caused by the malfunction of the washing machine 2. Therefore, by adopting the determination system 1 (determination method) of the embodiment, there is also the advantage that it is expected that the number of times the employees go to the site can be reduced to reduce the burden on the employees and reduce human errors.

[0089] [5. Other embodiments]

[0090] As described above, the embodiments are described as examples of the technology disclosed in this application. However, the technology in the present disclosure is not limited thereto, and can also be applied to embodiments that are appropriately changed, replaced, added, omitted, etc. In addition, it is also possible to combine the various components described in the above embodiments as new embodiments.

[0091] Therefore, modified examples of the embodiment will be described below.

[0092] In the above embodiment, the control unit 11, acquisition unit 12, calculation unit 13, determination unit 14 and output unit 15 of the determination system 1 are implemented by being distributed in the washing machine 2 and the information terminal 3, but the present invention is not limited thereto.

[0093] <First Modification>

[0094] Figure 8 1 is a block diagram showing the overall structure of the determination system 1A in the first modified example of the embodiment. In the determination system 1A in the first modified example, the processing unit 51 of the server 5 functions as the acquisition unit 12, the calculation unit 13, and the determination unit 14 of the determination system 1A, which is different from the determination system 1 in the embodiment. That is, the determination system 1A in the first modified example is composed of the processing unit 21 of the washing machine 2, the display unit 33 of the information terminal 3, and the processing unit 51 of the server 5 (described later), which is different from the determination system 1 in the embodiment. Hereinafter, the description of the points common to the determination system 1 in the embodiment will be appropriately omitted.

[0095] Server 5 is installed at a location away from a facility where washing machine 2 is installed, for example, and is configured to be able to communicate with washing machine 2 and information terminal 3 via external network NT1. Server 5 includes processing unit 51, communication unit 52, and storage unit 53.

[0096] The processing unit 51 is implemented by, for example, a processor or a dedicated circuit. The processing unit 51 implements various functions by executing a computer program (software) stored in the storage unit 53 through hardware such as a processor. In addition, the above-mentioned computer program may also be stored in a memory provided by the above-mentioned hardware. The processing unit 51 transmits and receives data with the washing machine 2 and with the information terminal 3 via the external network NT1, thereby playing the functions of the acquisition unit 12, the calculation unit 13, and the determination unit 14 of the determination system 1A.

[0097] The communication unit 52 communicates with the communication unit 25 of the washing machine 2 and the communication unit 34 of the information terminal 3 respectively via the external network NT1. The communication between the communication unit 52 and the communication unit 25 of the washing machine 2 and the communication between the communication unit 52 and the communication unit 34 of the information terminal 3 may be wired communication in addition to wireless communication. In addition, the standards of the communication between the communication unit 52 and the communication unit 25 of the washing machine 2 and the communication between the communication unit 52 and the communication unit 34 of the information terminal 3 are not particularly limited. In addition, the communication unit 52 may further communicate with the communication unit 25 of the washing machine 2 and the communication unit 34 of the information terminal 3 respectively via a repeater such as a router.

[0098] The storage unit 53 is a storage device that stores information required for the processing executed by the processing unit 51. The information stored in the storage unit 53 includes a computer program executed by the processing unit 51. The storage unit 53 is implemented by, for example, a semiconductor memory. The storage unit 53 stores the acceleration data of each of the three axes used in the determination process, the calculated determination data, the determination conditions, etc. In addition, the storage unit 53 stores the determination results of the determination process, etc.

[0099] In the determination system 1A of the first modified example, the processing unit 21 of the washing machine 2 executes Figure 3 In the steps S1 and S2 (i.e., the first and second steps), the processing unit 51 of the server 5 executes steps S3 to S5 (i.e., the third to fifth steps). Then, the display unit 33 of the information terminal 3 executes step S6 (i.e., the sixth step).

[0100] <Second Modification>

[0101] Fig. 9 1 is a block diagram showing the overall structure of the determination system 1B in the second modified example of the embodiment. In the determination system 1B in the second modified example, the processing unit 21 of the washing machine 2 functions as the control unit 11, the acquisition unit 12, the calculation unit 13, and the determination unit 14, and the display unit 24 of the washing machine 2 functions as the output unit 15, which is different from the determination system 1 in the embodiment. That is, the determination system 1B in the second modified example is composed of the washing machine 2, which is different from the determination system 1 in the embodiment. Hereinafter, the description of the points common to the determination system 1 in the embodiment will be omitted.

[0102] In the second modification, the storage unit 26 stores the acceleration data in each of the three axes used in the determination process, the calculated determination data, the determination conditions, etc. In the second modification, the storage unit 26 stores the determination results of the determination process, etc.

[0103] In the determination system 1B of the second modified example, the processing unit 21 of the washing machine 2 executes Figure 3 Then, the display unit 24 of the washing machine 2 executes step S6 (ie, the sixth step).

[0104] <Other Modifications>

[0105] In the above-described embodiment, the processing unit 31 of the information terminal 3 may further perform the functions of the acquisition unit 12 and the first calculation unit 131 instead of the processing unit 21 of the washing machine 2 .

[0106] In the above-mentioned embodiment, the maximum amplitude data at each predetermined time is used as the determination data, but the present invention is not limited thereto. For example, all the amplitude data at each sampling time may be used as the determination data.

[0107] In the above embodiment, the learned model of the output judgment condition is generated by machine learning using decision tree analysis, but it is not limited to this. For example, the learned model can also be generated by machine learning using logistic regression analysis or random forest analysis. In addition, for example, the learned model can also be generated by machine learning using a neural network.

[0108] In the above embodiment, the determination result in the fifth step is outputted by displaying the determination result in a character string on the display, but the present invention is not limited thereto. For example, the determination result in the fifth step may be outputted by displaying the determination result in an image on the display. In addition, for example, the determination result in the fifth step may be outputted by outputting the determination result in a voice from a speaker. In addition, the determination result may be outputted by combining the voice output from the speaker and the display on the display.

[0109] In addition, the communication method between the devices in the above-mentioned embodiment is not particularly limited. In the above-mentioned embodiment, when two devices communicate, a relay device (not shown) may be provided between the two devices.

[0110] In addition, the order of the processing described in the above embodiment is an example. The order of multiple processing can be changed, and multiple processing can be performed in parallel. In addition, the processing performed by a specific processing unit can also be performed by another processing unit. In addition, part of the digital signal processing described in the above embodiment can also be implemented by analog signal processing.

[0111] In the above embodiments, each component may be implemented by executing a software program suitable for each component. Each component may also be implemented by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

[0112] In addition, each component can also be implemented by hardware. For example, each component can also be a circuit (or integrated circuit). These circuits can constitute a circuit as a whole, or they can be different circuits. In addition, these circuits can be general circuits or dedicated circuits.

[0113] In addition, the entirety or specific aspects of the present disclosure may also be implemented by a system, device, method, integrated circuit, computer program, or computer-readable recording medium such as a CD-ROM. In addition, it may also be implemented by any combination of a system, device, method, integrated circuit, computer program, and recording medium. For example, the present disclosure may be implemented as a sound processing method executed by a computer, or as a program for causing a computer to execute such a sound processing method. In addition, the present disclosure may also be implemented as a computer-readable, non-temporary recording medium having such a program recorded thereon. In addition, the program here includes an application for enabling a general-purpose information terminal to function as the sound processing system of the above-described embodiment.

[0114] In addition, various modifications that can be conceived by those skilled in the art to the embodiments, or embodiments achieved by arbitrarily combining components and functions in the embodiments within the scope not departing from the gist of the present disclosure are also included in the present disclosure.

[0115] (Summarize)

[0116] As described above, in the determination method of the first mode, there are a first step (S1), a second step (S2), a third step (S3), a fourth step (S4), a fifth step (S5) and a sixth step (S6). In the first step, in a washing machine 2 having a plurality of legs 20, the washing tub 28 is rotated without accommodating laundry. In the second step, the rotation speed of the washing tub 28 is increased from the first rotation speed r1 to the second rotation speed r2 in a predetermined time period (increasing period T11) during the execution of the first step. In the third step, acceleration data of each of the three mutually orthogonal axes of the washing tub 28 in a predetermined time period is obtained from the acceleration sensor 27 installed in the washing tub 28. In the fourth step, based on the obtained acceleration data of each of the three axes, determination data including amplitude data of each of the three axes is calculated. In the fifth step, using the calculated determination data and the predetermined determination condition, it is determined whether one or more of the legs 20 among the plurality of legs 20 is in a raised state separated from the installation surface of the washing machine 2. In the sixth step, the determination result in the fifth step is output.

[0117] This has an advantage in that the installation environment of the washing machine 2 can be easily understood.

[0118] In the determination method of the second aspect, in the first aspect, in the fourth step, determination data including maximum amplitude data at each predetermined time in each of the three axis directions is calculated.

[0119] This has the advantages that the determination data required for determining whether or not the leg is in the raised state can be secured and the processing load of the determination process can be reduced.

[0120] In the determination method of the third aspect, in the second aspect, in the fourth step, the average value and the variance of the maximum amplitude data in each of the three-axis directions are calculated, and for each of the three combinations obtained by selecting two of the three-axis directions, the ratio of the average values ​​and the ratio of the variance of the maximum amplitude data in the two-axis directions are calculated. In the fourth step, the average value and the variance of each of the three-axis directions and the ratio of the average values ​​and the ratio of the variance of each of the three combinations are used as determination data.

[0121] This has the advantage of making it easier to determine whether the washing machine 2 is in the foot-lifting state.

[0122] In addition, in the determination method of the fourth embodiment, in any one of the first to third embodiments, the determination condition is set using a learned model that has been machine-learned. The learned model performs machine learning to output the determination condition using the determination data obtained by executing the first step, the second step, the third step, and the fourth step on the washing machine 2 in the raised-leg state as learning data.

[0123] This has the advantage of making it easier to determine whether the washing machine 2 is in the foot-lifting state.

[0124] In the determination method of the fifth embodiment, in any one of the first to fourth embodiments, at least a part of the fourth step, the fifth step, and the sixth step are executed in information terminal 3 outside washing machine 2 .

[0125] This provides an advantage that the user can easily understand the installation environment of washing machine 2 without going to the installation location of washing machine 2.

[0126] Furthermore, the program according to the sixth aspect causes one or more processors to execute the determination method according to any one of the first to fifth aspects.

[0127] This has an advantage in that the installation environment of the washing machine 2 can be easily understood.

[0128] In addition, the determination system 1, 1A, 1B of the seventh embodiment includes a control unit 11, an acquisition unit 12, a calculation unit 13, a determination unit 14, and an output unit 15. The control unit 11 rotates the washing tub 28 without accommodating laundry in the washing machine 2 having a plurality of legs 20, and increases the rotation speed of the washing tub 28 from the first rotation speed r1 to the second rotation speed r2 in a predetermined time period during the driving of the washing tub 28. The acquisition unit 12 acquires acceleration data of each of the three mutually orthogonal axes of the washing tub 28 in a predetermined time period from the acceleration sensor 27 installed in the washing tub 28. The calculation unit 13 calculates determination data including amplitude data of each of the three axes based on the acquired acceleration data of each of the three axes. The determination unit 14 determines whether one or more of the legs 20 among the plurality of legs 20 is in a raised state separated from the installation surface of the washing machine 2 using the calculated determination data and a predetermined determination condition. The output unit 15 outputs the determination result of the determination unit 14.

[0129] This has an advantage in that the installation environment of the washing machine 2 can be easily understood.

[0130] In addition, the information terminal 3 of the eighth embodiment is an information terminal capable of communicating with the washing machine 2, which has a plurality of legs 20, and includes: a driving unit 22 for rotating the washing tub 28 without accommodating laundry; and a control unit 11 for increasing the rotation speed of the washing tub 28 from the first rotation speed r1 to the second rotation speed r2 in a predetermined time period during the driving of the washing tub 28. The information terminal 3 includes a calculation unit 13, a determination unit 14, and an output unit 15. The calculation unit 13 calculates determination data including amplitude data in each of the three axial directions, based on acceleration data in each of the three mutually orthogonal axial directions of the washing tub 28 in a predetermined time period obtained from the acceleration sensor 27 installed in the washing tub 28. The determination unit 14 uses the calculated determination data and a predetermined determination condition to determine whether one or more of the legs 20 is in a raised state separated from the installation surface of the washing machine 2. The output unit 15 outputs the determination result of the determination unit 14.

[0131] This has an advantage in that the installation environment of the washing machine 2 can be easily understood.

[0132] Industrial Applicability

[0133] The determination method disclosed in the present disclosure can be applied to a system for determining the state of a washing machine, and the like.

[0134] Description of Reference Numerals

[0135] 1.1A, 1B Determination System

[0136] 11. Control Unit

[0137] 12 Acquisition

[0138] 13 Calculation Department

[0139] 131 First Calculation Unit

[0140] 132 Second calculation unit

[0141] 14 Judgment Department

[0142] 15 Output

[0143] 2 Washing Machine

[0144] 20 Feet

[0145] 21 Processing Department

[0146] 22. Drive unit

[0147] 23 Operation Department

[0148] 24 Display unit

[0149] 25 Ministry of Communications

[0150] 26 Storage

[0151] 27 Accelerometer

[0152] 28 Sink

[0153] 3 Information Terminal

[0154] 31 Processing Department

[0155] 32 Operation section

[0156] 33 Display

[0157] 34 Ministry of Communications

[0158] 35 Storage

[0159] 4 Setting table

[0160] 5 Server

[0161] 51 Processing Department

[0162] 52 Ministry of Communications

[0163] 53 Storage

[0164] r1 First speed

[0165] r2 Second speed

[0166] NT1 External Network

Claims

1. A determination method, wherein: The determination method comprises: In a first step, in a washing machine having a plurality of legs, a washing tub is rotated without containing laundry; A second step, increasing the rotation speed of the washing tub from the first rotation speed to the second rotation speed during a specified time period during the execution of the first step; The third step is to obtain acceleration data of the washing tub in three mutually orthogonal axes within the specified time period from an acceleration sensor installed in the washing tub; A fourth step is to calculate determination data including amplitude data in each of the three-axis directions based on the acquired acceleration data in each of the three-axis directions; The fifth step is to determine whether one or more of the plurality of legs is in a raised state separated from the installation surface of the washing machine by using the calculated determination data and a predetermined determination condition; as well as The sixth step is to output the determination result in the fifth step.

2. The determination method according to claim 1, wherein: In the fourth step, the determination data including maximum amplitude data at each predetermined time in each of the three axis directions is calculated.

3. The determination method according to claim 2, wherein: In the fourth step, Calculate the average value and variance of the maximum amplitude data in each of the three axis directions, For each of three combinations obtained by selecting two of the three axial directions, a ratio of average values ​​and a ratio of variances of the maximum amplitude data in the two axial directions are calculated. The average values ​​and the variances of the three-axis directions and the ratios of the average values ​​and the variances of the three combinations are used as the determination data.

4. The determination method according to any one of claims 1 to 3, wherein: The judgment condition is set using a learned model that has been machine-learned. The learned model performs machine learning to use the judgment data obtained by executing the first step, the second step, the third step, and the fourth step on the washing machine in the foot-lifting state as learning data and output the judgment condition.

5. The determination method according to any one of claims 1 to 3, wherein: At least a part of the fourth step, the fifth step, and the sixth step are performed in an information terminal outside the washing machine.

6. A program, wherein: One or more processors are caused to execute the determination method according to any one of claims 1 to 3.

7. A determination system, wherein: The determination system comprises: A control unit, in a washing machine having a plurality of legs, rotates a washing tub without accommodating laundry, and increases the rotation speed of the washing tub from a first rotation speed to a second rotation speed in a predetermined time period during the driving of the washing tub; an acquisition unit that acquires acceleration data of each of three mutually orthogonal axes of the washing tub within the predetermined time period from an acceleration sensor installed in the washing tub; a calculation unit that calculates determination data including amplitude data in each of the three-axis directions based on the acquired acceleration data in each of the three-axis directions; a determination unit that uses the calculated determination data and a predetermined determination condition to determine whether or not the plurality of legs are in a raised state in which at least one leg is separated from the installation surface of the washing machine; as well as The output unit outputs the determination result of the determination unit.

8. An information terminal capable of communicating with a washing machine, the washing machine having a plurality of legs and comprising: a driving unit for rotating a washing tub without accommodating laundry; and a control unit for increasing the rotation speed of the washing tub from a first rotation speed to a second rotation speed in a predetermined time period during the driving of the washing tub, the information terminal comprising: a calculation unit that calculates determination data including amplitude data in each of the three axial directions, based on acceleration data in each of the three axial directions orthogonal to each other of the washing tub within the predetermined time period, obtained from an acceleration sensor installed in the washing tub; a determination unit that uses the calculated determination data and a predetermined determination condition to determine whether or not the plurality of legs are in a raised state in which at least one leg is separated from the installation surface of the washing machine; as well as The output unit outputs the determination result of the determination unit.

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