Laundry treating apparatus system, method for controlling laundry treating apparatus, and laundry treating apparatus

Abstract

To provide a washing machine system capable of shortening an operation time required for washing, a control method of a washing machine, and a washing machine.SOLUTION: A washing machine system 1000 includes a washing machine 1, a terminal display control part 412, and a measuring part 114 for measuring a state of a variation factor for varying an operation time required for washing of the washing machine 1, and the terminal display control part 412 notifies an improvement plan based on a measurement result measured by the measuring part 114.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a clothing processing device system, a clothing processing device control method, and a clothing processing device. [Background technology]

[0002] Patent Document 1 discloses a washing machine that calculates the time required to complete washing based on the amount of laundry in the clothes. Furthermore, Patent Document 1 discloses a technology that shortens or extends the total operation time by changing the control values ​​for the washing machine's operation based on the results of a questionnaire answered by the user. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2021-045236 Summary of the Invention [Problem to be solved by the invention]

[0004] The present disclosure provides a clothing treatment device system, a clothing treatment device control method, and a clothing treatment device that can improve the status of variable factors that cause fluctuations in operating time. [Means for solving the problem]

[0005] The clothing processing device system of the present disclosure comprises a clothing processing device, an alarm unit, and a measurement unit that measures the state of variable factors that change the operating time required for clothing processing by the clothing processing device, and the alarm unit notifies of improvement suggestions based on the measurement results measured by the measurement unit.

[0006] In addition, the control method for a clothing processing device system according to the present disclosure measures the state of a variable factor that causes a change in the operating time required for clothing processing, and notifies an improvement plan based on the measurement results.

[0007] In addition, the clothing processing device of the present disclosure is equipped with an alarm unit and a measurement unit that measures the state of variable factors that cause fluctuations in the operating time required for clothing processing, and the alarm unit notifies of improvement suggestions based on the measurement results measured by the measurement unit. [Effects of the Invention]

[0008] The clothing treatment device system, the control method for the clothing treatment device, and the clothing treatment device disclosed herein can improve the status of variable factors that cause fluctuations in operation time. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 shows a configuration of a washing machine system according to a first embodiment. [Figure 2] A block diagram showing the configuration of a washing machine according to a first embodiment. [Figure 3] FIG. 1 is a block diagram showing a configuration of a management server according to a first embodiment. [Figure 4] FIG. 1 is a block diagram showing a configuration of a terminal device according to a first embodiment. [Figure 5] FIG. 1 is a sequence diagram showing the operations of a user, a terminal device, and a management server according to the first embodiment. [Figure 6] FIG. 10 shows an example of a login screen and a device selection screen according to the first embodiment. [Figure 7] FIG. 10 shows an example of a top screen in the first embodiment. [Figure 8] A sequence diagram showing the operations of a user, a terminal device, a management server, and a washing machine according to the first embodiment. [Figure 9] FIG. 10 is a diagram showing an example of a details screen according to the first embodiment. [Figure 10] FIG. 10 is a diagram showing an example of a start notification screen according to the first embodiment. [Figure 11] A sequence diagram showing the operations of a user, a terminal device, a management server, and a washing machine according to the first embodiment. [Figure 12] FIG. 10 is a diagram showing an example of an end notification screen according to the first embodiment. [Figure 13] FIG. 10 is a diagram showing an example of a history screen according to the first embodiment. [Figure 14] FIG. 10 is a diagram showing an example of a second detailed screen in the first embodiment. [Figure 15] FIG. 10 is a diagram showing an example of a first specific plan screen in the first embodiment. [Figure 16] FIG. 10 is a diagram showing an example of a second specific plan screen in the first embodiment. [Figure 17] FIG. 10 is a diagram showing an example of a third specific plan screen in the first embodiment. [Figure 18] FIG. 10 is a diagram showing an example of a fourth specific plan screen in the first embodiment. [Figure 19] A block diagram showing the configuration of a washing machine according to a second embodiment. [Figure 20] A sequence diagram showing the operations of a user and a washing machine in the second embodiment. [Figure 21] A sequence diagram showing the operations of a user and a washing machine in the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] (Findings that formed the basis of this disclosure) At the time when the inventors came up with the idea of ​​the present disclosure, there was a technique, such as that described in Patent Document 1, for changing control values ​​in washing in response to input from a user in a questionnaire. However, such a technique does not prompt the user to improve the state of the variable factors that cause the washing operation time to fluctuate. The inventors have discovered a problem in that there is a limit to the operation time that can be reduced by changing the washing control value, and it is difficult to further reduce the operation time unless the state of the variable factors is improved. In order to solve this problem, the inventors have come up with the subject matter of the present disclosure. Therefore, the present disclosure provides a clothing treatment device system, a control method for a clothing treatment device, and a clothing treatment device that can improve the status of variable factors that cause fluctuations in operating time.

[0011] Hereinafter, embodiments will be described in detail with reference to the drawings. However, in some cases, more detailed explanation than necessary may be omitted. For example, detailed explanation of already well-known matters or redundant explanation of substantially the same configuration may be omitted. The accompanying drawings and the following description are provided to enable those skilled in the art to fully understand the present disclosure, and are not intended to limit the subject matter described in the claims.

[0012] (Embodiment 1) [1-1.Configuration] [1-1-1. Washing machine system configuration] FIG. 1 is a diagram showing the configuration of a washing machine system 1000. The washing machine system 1000 is an example of a clothing treatment device system.

[0013] Washing machine system 1000 is a system that notifies user P of improvement suggestions for washing machine 1. The improvement suggestions are suggestions that allow user P to improve the conditions of fluctuation factors that cause fluctuations in the operation time of washing machine 1 so that the operation time of washing machine 1 can be shortened. Types of improvement suggestions will be described later.

[0014] The washing machine system 1000 includes a washing machine 1. The washing machine 1 is an example of a clothing processing device. The washing machine 1 is a device that performs washing or drying as an example of clothing processing. The washing machine 1 is a device for washing cloth as laundry in a washing tub 156. In this embodiment, a drum-type washing machine is exemplified as washing machine 1. FIG. 1 illustrates an example in which two washing machines 1A and 1B are installed inside facility H, and washing machine 1C is installed outside facility H. When washing machines 1A, 1B, and 1C are not particularly distinguished from one another, they are referred to as washing machine 1.

[0015] The washing machine 1 communicates with a management server 3 connected to a network NW via a communication device 5. The network NW includes the Internet, a telephone network, and other communication networks.

[0016] The communication device 5 is connected to the network NW and communicates with devices connected to the network NW. The communication device 5 functions as an interface device for connecting the washing machine 1 and the terminal device 4 to the network NW. The communication device 5 establishes a local network in the facility H.

[0017] The washing machine system 1000 includes a terminal device 4. The terminal device 4 is a PC (Personal Computer) such as a smartphone or a tablet terminal. An application program related to the washing machine 1 is installed on the terminal device 4, and the terminal device 4 communicates with the management server 3 using the function of this application program. In the following description, the application program is referred to as a "terminal APP" and is appropriately represented as "terminal APP 431" by adding the reference number "431."

[0018] The washing machine system 1000 includes a management server 3. Management server 3 is a server device that manages washing machine 1. Management server 3 is connected to network NW and performs information processing with washing machine 1 and terminal device 4 as clients.

[0019] [1-1-2. Washing machine control system] [1-1-2-1. Washing machine] FIG. 2 is a block diagram showing the configuration of the washing machine 1. The washing machine 1 includes a washing machine control device 100. The washing machine control device 100 includes a washing machine processor 110 such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), a washing machine memory 130, and an interface circuit to which other devices and sensors are connected.

[0020] Washing machine memory 130 is a memory that stores programs and data. Washing machine memory 130 stores control program 131, washing machine ID (Identification) 132, and other data processed by washing machine processor 110. Washing machine memory 130 has a non-volatile storage area. Washing machine memory 130 may also have a volatile storage area and constitute a work area for washing machine processor 110. Washing machine memory 130 is composed of, for example, ROM (Read Only Memory) and RAM (Random Access Memory).

[0021] The washing machine ID 132 is identification information for identifying the washing machine 1. An example of the washing machine ID 132 is the serial number of the washing machine 1.

[0022] Washing machine control device 100 is connected to devices included in washing machine 1, such as washing machine communication unit 151, display operation unit 152, water supply valve 154, drain valve 155, each unit included in washing tub 156, temperature sensor 160, and compressor 161. Note that devices other than those described above may also be connected to washing machine control device 100.

[0023] The washing tub 156 is composed of an outer tub and an inner tub (not shown). The outer tub is a generally cylindrical member that stores wash water. The inner tub is a generally cylindrical member that is rotatably disposed inside the outer tub and can accommodate laundry. The outer tub may be called a water tub, and the inner tub may be called a drum.

[0024] The drive motor 157 is a motor that drives the inner tub to rotate, and also functions as a means for detecting the amount of laundry. Washing tub 156 further includes vibration sensor 159 and recognition unit 158 ​​.

[0025] Vibration sensor 159 is a sensor that measures a displacement value of washing tub 156 in a certain direction. The certain direction is, for example, the direction of the rotation axis of washing tub 156. Vibration sensor 159 is a means for detecting a deviation in the position of the clothes. The deviation in the position of the clothes can also be called an imbalance of washing tub 156. Note that vibration sensor 159 may be an acceleration sensor that measures a displacement value of the acceleration of the rotation of washing tub 156.

[0026] The identification unit 158 ​​is a means capable of identifying the type of fabric. When it is assumed that clothes to which an IC tag such as an RFID (Radio Frequency Identification) that stores identification information is attached are to be washed, a reader that reads the RFID corresponds to identification unit 158. The reader functions as a sensor that identifies the type of fabric. Identification unit 158 ​​is provided in washing tub 156.

[0027] It is also possible to provide an image sensor capable of capturing an image of the inside of washing tub 156 in washing machine 1, and have recognition unit 158 ​​capture the image using the image sensor.

[0028] Temperature sensor 160 measures the temperature of the location where washing machine 1 is installed. In the present embodiment, this temperature corresponds to the room temperature inside facility H for washing machines 1A and 1B, and corresponds to the outside air temperature outside facility H for washing machine 1C. Temperature sensor 160 is preferably placed in a position that is not affected by the heat generated by washing machine 1. Temperature sensor 160 may be, for example, a temperature sensor mounted on another home appliance.

[0029] Washing machine 1 has a function of drying the clothes stored in washing tub 156. A circulation air passage (not shown) provided in washing machine 1 exhausts the air in washing tub 156 to dehumidify it, and then heats and dries the air, which is then blown back into washing tub 156. A heat pump unit to which dehumidifying means such as compressor 161 and a condenser are connected by piping, and a blower fan serving as a blowing means are provided along the circulation air passage.

[0030] Washing machine communication unit 151 includes hardware such as a communication circuit that complies with a predetermined communication standard, and communicates with management server 3 under the control of washing machine processor 110.

[0031] Operation panel 152 is a panel having washing machine touch panel 153, which is a touch panel, operation buttons, etc. Operation panel 152 is disposed on the top of washing machine 1, for example.

[0032] The washing machine processor 110 functions as a washing machine communication control unit 111, an operation control unit 112, a washing machine display control unit 113, a measurement unit 114, and an estimation unit 120 by reading and executing the control program 131 stored in the washing machine memory 130.

[0033] Washing machine communication control unit 111 communicates with management server 3 via washing machine communication unit 151.

[0034] The operation control unit 112 controls mechanisms related to washing, such as the water supply valve 154, the drive motor 157, and the drain valve 155, to perform washing. Washing mainly consists of a washing process, a rinsing process, a spin-drying process, and a drying process. As described above, washing in this embodiment is described as including the drying process, but laundry processing may be washing that includes drying or washing that does not include drying.

[0035] There are multiple courses for washing that the operation control unit 112 can perform. The courses include, for example, an automatic course, a towel-only course, and a blanket course. The automatic course is suitable when there is little bias in the types of fabrics being washed. The towel-only course is particularly suitable for washing towels, and is characterized by, for example, supplying more water during the washing process. The blanket course is particularly suitable for washing large fabrics such as blankets, sheets, and curtains, and is characterized by, for example, performing the washing process with a high concentration of detergent.

[0036] The operation control unit 112 measures the operation time required for one washing cycle. The operation time measured by the operation control unit 112 is the time required for one washing cycle from the start to the end of washing.

[0037] The washing machine display control unit 113 uses the display operation unit 102 to display information related to the washing machine 1. The information related to the washing machine 1 is, for example, text information notifying an error.

[0038] [1-1-2-1-1. Measurement section] The measurement unit 114 includes a laundry amount measurement unit 115 , a position measurement unit 116 , a type measurement unit 117 , and a temperature measurement unit 118 .

[0039] The measurement unit 114 is a functional unit that measures the state of fluctuation factors that cause fluctuations in the operation time of the washing machine 1 in response to a predetermined trigger and outputs the measurement result to the determination unit 318, which will be described later. The operation time is the sum of the times required for each process, including the washing process, rinsing process, spin-drying process, and drying process. The predetermined trigger is whether washing is performed or whether a pre-measurement, which will be described later, is performed.

[0040] The cloth amount measuring unit 115 acquires a rotational workload, which is the workload of the drive motor 157 required for the drive motor 157 to rotate at a predetermined rotation speed. For example, the cloth amount measuring unit 115 acquires the current value of the drive motor 157 required for the drive motor 157 to rotate at the predetermined rotation speed as the rotational workload.

[0041] Position measurement unit 116 acquires the displacement value of washing tub 156 measured by vibration sensor 159 .

[0042] The type measurement unit 117 acquires the number of each type of cloth from the reading result by the identification unit 158. The type of cloth is, for example, an item name such as towel, jeans, blanket, shirt, etc. The type of cloth may also be the composition of the cloth, such as cotton or polyester.

[0043] The temperature measurement unit 118 acquires the temperature value from the data measured by the temperature sensor 160 .

[0044] The measurement unit 114 starts measurement when there is a measurement result request from the management server 3 or when there is a request to start execution of laundry.

[0045] [1-1-2-1-2. Estimation section] The estimation unit 120 estimates the operation time each time laundry is performed. The estimation unit 120 estimates the operation time from the state values ​​of the variable factors measured by the measurement unit 114. Specifically, the estimation unit 120 estimates the laundry amount from the rotational work output from the laundry amount measurement unit 115. Next, the estimation unit 120 estimates the operation time based on the estimated laundry amount. For example, when the laundry load is large, the washing process takes longer to thoroughly clean the laundry, the amount of water used increases, which in turn increases the time required for water supply and drainage, and the time required for the drying process. From this perspective, the relationship between the laundry load and the operation time is predetermined for each program. Hereinafter, the operation time estimated by the estimation unit 120 will be referred to as the estimated time.

[0046] The estimation unit 120 executes estimation when it receives a request from the management server 3 to start execution of laundry and when the measurement unit 114 measures the value of the state of the fluctuation factor.

[0047] The estimation unit 120 may further calculate the estimated time based on the displacement value output from the position measurement unit 116, the number of each type of cloth output from the type measurement unit 117, and the temperature value output from the temperature measurement unit 118. The estimation unit 120 may further calculate the driving time based on the deviation calculated by the determination unit 318, which will be described later.

[0048] [1-1-2-2. Management Server] Next, the configuration of the management server 3 will be described. FIG. 3 is a block diagram showing the configuration of the management server 3.

[0049] The management server 3 includes a server control device 300 and a server communication unit 351 .

[0050] The server control device 300 includes a server processor 310 such as a CPU or MPU, a server memory 330, and an interface circuit to which other devices and sensors are connected.

[0051] The server memory 330 is a memory that stores programs and data. The server memory 330 stores a control program 331, a management database (DB) 332, scoring data 333, content data 334, and other data to be processed by the server processor 310. The server memory 330 has a non-volatile storage area. The server memory 330 may also have a volatile storage area and constitute a work area for the server processor 310. The server memory 330 is constituted by, for example, a ROM or a RAM.

[0052] The management DB 332 is a database that manages information related to the washing machine 1. One record R stored in the management DB 332 has one dedicated ID 432. Furthermore, the record R has a washing machine ID 132 linked to one dedicated ID 432. The number of washing machine IDs 132 corresponding to one client ID is not limited to one, and there may be multiple washing machine IDs 132 corresponding to one client ID.

[0053] The management DB 332 stores laundry data DR linked to one washing machine ID 132. The laundry data DR corresponds to an example of a history. The laundry data DR includes information such as an estimated time for one wash and an operation time. The management DB 332 stores the laundry data DR for each wash course in chronological order. Although not shown in the figure, the management DB 332 further stores the judgment results, the scoring results, and the contents associated with one wash. Washing machines 1A, 1B, and 1C have different washing machine IDs 132, and management DB 332 can store laundry data DR for each washing machine ID.

[0054] Server communication unit 351 includes hardware such as a communication circuit that complies with a predetermined communication standard, and communicates with washing machine 1 and terminal device 4 under the control of server control device 300.

[0055] The server processor 310 functions as a server communication control unit 311, a management unit 312, a scoring unit 313, a first selection unit 314, a second selection unit 315, a third selection unit 316, and a change unit 317 by reading and executing a control program 331 stored in the server memory 330.

[0056] Server communication control unit 311 communicates with washing machine 1 and terminal device 4 via server communication unit 351. The management unit 312 performs processing related to the management DB 332. In particular, the management unit 312 updates the management DB 332. The management unit 312 identifies one record R linked to the dedicated ID 432 from the dedicated ID 432 received from the terminal device 4.

[0057] [1-1-2-2-1. Judgment result] The determination unit 318 is a functional unit that outputs a determination result based on the measurement result output by the measurement unit 114 and the state of a predetermined variable factor. The measurement result is a measurement value measured by the measurement unit 114. The following describes an example in which the state of the predetermined variation factor is an appropriate state of the variation factor, but is not limited to this. The state of the predetermined variation factor may be, for example, an initial value corresponding to a predetermined state according to each washing machine 1 or each course of the washing machine 1. Furthermore, the washing machine system 1000 may have a functional unit that calculates a reference value (for example, an average value) based on the past state of the variation factor of each washing machine 1, and the state of the variation factor corresponding to the reference value may be set as the state of the predetermined variation factor. The measurement result output to washing machine communication control unit 111 is transmitted to management server 3 by washing machine communication unit 151. Determination unit 318 makes a determination when measurement unit 114 outputs the measurement result. That is, when washing is performed, determination unit 318 outputs the determination result for one washing cycle, and when preliminary measurement, which will be described later, is performed, it outputs the determination result for the preliminary measurement.

[0058] The determining unit 318 will be explained while explaining the factors that cause fluctuations. First, we will explain the laundry weight, which is an example of a fluctuation factor. The larger the laundry weight, the longer the operation time tends to be. For example, the larger the laundry weight, the longer it takes to supply water in the washing and rinsing steps, and the longer it takes to drain water in the washing, rinsing, and spinning steps. The greater the amount of laundry, the greater the amount of rotational work required to rotate the drive motor 157 at a constant rotation speed. This makes it possible to estimate the amount of laundry from the amount of rotational work. The appropriate rotational work load is predetermined depending on the capacity of the washing machine 1 and the course.

[0059] For example, if the upper limit of the capacity of the washing machine 1 is 10 kg, the appropriate rotational workload is equal to or less than the rotational workload when the laundry load is 10 kg. Also, if the capacity specified by the program is 6 kg, the appropriate rotational workload is equal to or less than the rotational workload when the laundry load is 6 kg.

[0060] The determination unit 318 compares the rotational work amount output from the cloth amount measurement unit 115 with a predetermined appropriate rotational work amount. Specifically, the determination unit 318 calculates a cloth amount deviation as a determination result based on the rotational work amount output from the cloth amount measurement unit 115 and the appropriate work amount. The appropriate rotational work amount corresponds to an example of the state of a predetermined variable factor.

[0061] An example of the cloth amount deviation degree will be explained. When the rotational work amount exceeds the appropriate rotational work amount, the cloth amount deviation degree is the difference between them. When the rotational work amount is equal to or less than the appropriate rotational work amount, the cloth amount deviation degree is set to 0.

[0062] There is a correlation between a larger deviation in the laundry amount and a larger laundry amount, and a longer operation time.

[0063] Next, we will explain the position of the clothes, which is one example of a variable factor. The more uneven the position of the clothes, the longer the operation time tends to be. Causes of uneven positioning of the clothes include the size of the clothes and the clothes being bundled together in a laundry bag made of net.

[0064] For example, if the position of the clothes is uneven, washing tub 156 may shake, placing an excessive load on drive motor 157, or causing noise due to collision with other components. To resolve such a problem, that is, to resolve the uneven position of the clothes, washing machine 1 performs a process of supplying water to washing tub 156, untangling the tangled clothes, and then draining the water. The more times this process is performed, or the longer it takes for this process, the longer the operating time tends to be.

[0065] There is a correlation between the degree of deviation of the position of the cloth and the displacement value output by the position measurement unit 116. The relationship between the displacement value and the degree of deviation of the position of the cloth put into the washing tub 156 has been obtained in advance by experiment.

[0066] The determination unit 318 compares the displacement value output from the position measurement unit 116 with a predetermined appropriate displacement value. Specifically, the determination unit 318 calculates a position deviation as a determination result based on the displacement value output from the position measurement unit 116 and the predetermined appropriate displacement value. The appropriate quantile value corresponds to an example of the state of a predetermined variable factor.

[0067] An example of the position deviation degree will be described below. The degree of deviation of the cloth position is divided into five levels in ascending order, and numbers from 1 to 5 are assigned in order as the evaluation value of the state. In this case, the position deviation degree is the difference between the evaluation value of the state corresponding to the displacement value output from the position measurement unit 116 and 1, which is the evaluation value of the state corresponding to the appropriate displacement value. The position deviation degree takes five values ​​from 0 to 4. A state in which the degree of deviation of the cloth position is small, which corresponds to the appropriate displacement value, is a state in which water is supplied to the washing tub 156 in the rinsing process, the tangled cloths are untangled, and then the water is not drained even once.

[0068] There is a correlation between a larger position deviation and a larger degree of deviation in the position of the cloth, and a longer operation time.

[0069] The allocation of the evaluation values ​​to the states may be performed by the position measurement unit 116 instead of the determination unit 318. In this case, the displacement value output by the position measurement unit 116 corresponds to the evaluation values ​​of the states 1 to 5.

[0070] Next, we will explain the type of fabric, which is an example of a variation factor. For example, when the type of fabric is a towel or jeans, the fabric position is likely to become misaligned. As such, the likelihood of the fabric position becoming misaligned can vary depending on the type of fabric. As described above, there is a correlation between the greater the degree of misalignment of the fabric position and the longer the operating time. Therefore, the operating time can vary depending on the type of fabric.

[0071] The appropriate threshold for the number of each type of fabric is predetermined for each washing cycle. For example, the threshold for the number of towels in the towel-only washing cycle is larger than the threshold for the number of towels in the automatic washing cycle. On the other hand, for example, the threshold for the number of shirts in the towel-only washing cycle is smaller than the threshold for the number of shirts in the automatic washing cycle. In the towel-only washing cycle, the water supply or drainage in each washing process and the drive motor 157 are controlled to accommodate a large number of towels. Therefore, if there are a large number of types of fabric other than towels, the actual operating time may be longer than the operating time estimated in the towel-only washing cycle. The type of fabric may also be the type of fiber (natural fiber, chemical fiber, etc.).

[0072] Specifically, the determination unit 318 calculates a type deviation degree as a determination result based on the number of each type of cloth output from the type measurement unit 117 and each appropriate threshold value. The appropriate threshold corresponds to an example of the state of the predetermined variable factor.

[0073] An example of calculating the type deviation will be described below. The type deviation degree is calculated by multiplying the evaluation level of each type of fabric, which is predetermined for each course, by the number of times that the threshold is exceeded, and then calculating the sum of the products for each type of fabric. In this case, if the evaluation level of fabric types that are particularly likely to affect driving time is set high, when the number of such fabric types exceeds the threshold, the type deviation degree will be larger than when the number of other fabric types exceeds the threshold. For example, in a towel-only course, if there are multiple towels and the number of fabric types other than towels is zero, the type deviation degree will be 0.

[0074] The larger the type deviation, the less appropriate the number of each type of fabric for a certain course, and the longer the operation time.

[0075] Next, room temperature, which is an example of a fluctuation factor, will be described. If the room temperature is too high, the compressor 161 may be driven at low speed during the drying process to prevent the condenser temperature from rising too much, which reduces the amount of refrigerant circulating, resulting in insufficient heat exchange with the fabric and a longer drying time. On the other hand, if the room temperature is too low, even if it is desired to increase the condenser temperature during the drying process, the compressor 161 will reach its rated frequency, making it impossible to increase the amount of refrigerant circulating, resulting in insufficient heat exchange with the fabric and a longer drying time. From the above perspectives, an appropriate lower limit temperature and an appropriate upper limit temperature are predetermined for the room temperature.

[0076] The determination unit 318 compares the temperature value output from the temperature measurement unit 118 with a predetermined appropriate temperature value. Specifically, the determination unit 318 calculates a temperature deviation as a determination result based on the temperature value output from the temperature measurement unit 118 and the predetermined appropriate temperature value. The value of the appropriate temperature corresponds to an example of the state of a predetermined variable factor.

[0077] An example of the temperature deviation is described below. When the temperature value is greater than the appropriate upper limit temperature, the difference therebetween is the temperature deviation. In this case, the temperature deviation is a positive value. When the temperature value is smaller than the appropriate lower limit temperature, the difference therebetween is the temperature deviation. The temperature deviation may be a positive absolute value or a negative absolute value. In this embodiment, the temperature deviation is described as a positive absolute value. When the temperature value is within the appropriate temperature range, the temperature deviation is 0. For example, the appropriate upper limit temperature and lower limit temperature may both be 20 degrees Celsius, i.e., the appropriate temperature range may be 20 degrees Celsius ± 0.

[0078] There is a correlation between the larger the temperature deviation and the longer it takes to dry the fabric and the longer the operating time.

[0079] The cloth amount deviation degree, the position deviation degree, the type deviation degree, and the temperature deviation degree are collectively referred to as deviation degrees as appropriate. The cloth amount deviation degree, the position deviation degree, the type deviation degree, and the temperature deviation degree correspond to examples of deviation degrees. If the deviation is other than 0, it corresponds to a case where there is room for improvement in the state of the fluctuation factor corresponding to the type of deviation. The determination unit 318 may be configured to determine that an improvement plan is necessary when the deviation is not 0.

[0080] [1-1-2-2-2. Scoring Results] The scoring unit 313 performs scoring based on the determination result output by the determining unit 318. The scoring unit 313 is an example of an evaluating unit that evaluates the state of the fluctuation factor based on the degree of deviation. Scoring is an example of evaluation.

[0081] The scoring unit 313 performs scoring based on the deviation calculated by the determination unit 318, with reference to the scoring data 333, and outputs the scoring results to the first selection unit 314 and the third selection unit 316. The scoring data 333 is a data set that associates the deviation with a score expressed as an integer between 0 and 100. The scoring data 333 has such a data set for each type of course.

[0082] Scores corresponding to a range of values ​​of a certain clothing amount deviation are stored in the scoring data 333. For example, in the scoring data 333, five ranges of values ​​are divided in ascending order of clothing amount deviation, and the ranges are associated with 100 points, 80 points, 60 points, 40 points, and 20 points in ascending order of value. These scores are called clothing amount scores.

[0083] Scores corresponding to a range of values ​​of a certain position deviation degree are stored in the scoring data 333. For example, in the scoring data 333, the position deviation degree is divided into five ranges in ascending order, and the ranges are associated with 100 points, 80 points, 60 points, 40 points, and 20 points in ascending order. Such scores are called scoring methods.

[0084] Scores corresponding to a range of values ​​of a certain type deviation degree are stored in the scoring data 333. For example, in the scoring data 333, five ranges of values ​​are divided in ascending order of type deviation degree, and the ranges of values ​​corresponding to the smallest value are 100 points, 80 points, 60 points, 40 points, and 20 points. These scores are called clothing type scores.

[0085] Scores corresponding to a range of values ​​of a certain temperature deviation degree are stored in the scoring data 333. For example, in the scoring data 333, the temperature deviation degree is divided into five ranges in ascending order, and the ranges are associated with the following scores in ascending order: 100 points, 80 points, 60 points, 40 points, and 20 points. Such scores are called room temperature scores. The scores for the amount of clothes, the loading method, the type of clothes, and the room temperature are examples of evaluation results that can be associated with the degree of deviation.

[0086] The scoring unit 313 further calculates the average score for the amount of clothes, the loading method, the type of clothes, and the room temperature.

[0087] The scores for the amount of laundry, the loading method, the type of laundry, the room temperature, and the average score correspond to examples of the scoring results. By understanding these scoring results, user P can understand the state of each variable factor. Therefore, these scoring results can be said to be proposals that can improve the state of the variable factors that cause fluctuations in the operation time of washing machine 1, and correspond to examples of improvement proposals.

[0088] It should be noted that the better the scoring result, that is, the higher the score in the scoring result, the closer the actual driving time is to the estimated time.

[0089] [1-1-2-2-3. First content and specific proposals] The first selection unit 314 selects the first content based on the scoring results of the most recent laundry or the scoring results of the preliminary measurement, with reference to the content data 334. The content data 334 is a data set that associates scores for the amount of laundry, the loading method, the type of laundry, and the room temperature with the first content. The first content is image information, text information, etc.

[0090] As will be explained later, the first content is content that indicates the state of the variable factors. Therefore, by understanding the first content, user P can understand the state of each variable factor. Therefore, the first content can be said to be a proposal that can improve the state of the variable factors that cause the operation time of washing machine 1 to fluctuate, and corresponds to an example of an improvement proposal.

[0091] The content data 334 includes first contents corresponding to scores for the amount of clothes, the way of putting clothes, the type of clothes, and the room temperature.

[0092] The first selection unit 314 further selects a specific plan, which is a specific improvement plan corresponding to the type of variation factor, based on the scoring result. The first selection unit 314 selects a specific suggestion when the score for the amount of clothes, the score for the way of putting clothes, the score for the type of clothes, and the score for the room temperature are not 100 points. The content data 334 further has a first specific suggestion linked when the score for the amount of clothes is not 100 points, a second specific suggestion linked when the score for the way of putting clothes is not 100 points, a third specific suggestion linked when the score for the type of clothes is not 100 points, and a fourth specific suggestion linked when the score for the room temperature is not 100 points. The specific suggestion is a collective term for the first specific suggestion, the second specific suggestion, the third specific suggestion, and the fourth specific suggestion, and corresponds to an example of an improvement suggestion. In other words, if the deviation calculated by the determining unit 318 is other than 0, the first selection unit 314 determines that an improvement plan is needed and selects a specific plan, and if the deviation is 0, it determines that an improvement plan is not needed and does not select a specific plan. The first selection unit 314 is an example of a determining unit that determines whether an improvement plan is needed.

[0093] [1-1-2-2-4. About the second content] After the start of washing, second selection unit 315 selects second content based on the determination result of the most recent washing, with reference to content data 334. Content data 334 further includes the determination result and the second content in association with each other.

[0094] As will be made clear later, the second content indicates the state of the variable factors and the possibility that the operating time of washing machine 1 may be extended due to the state of the variable factors. Therefore, by being notified of the second content, user P can understand what state of the variable factors will result in the operating time. Therefore, the second content can be said to be a proposal that can improve the state of the variable factors that cause the operating time of washing machine 1 to fluctuate, and corresponds to an example of an improvement proposal.

[0095] If the determination result is equal to or greater than a predetermined threshold, the content data 334 does not have corresponding second content. The predetermined threshold is, for example, the determination result corresponding to a score of 100 points. That is, the second selection unit 315 selects the second content when the determination result is below the threshold. More specifically, the second selection unit 315 selects the second content when the laundry amount deviation degree, the position deviation degree, the type deviation degree, and the temperature deviation degree are each equal to or less than a predetermined threshold. In other words, if the deviation calculated by the determination unit 318 is other than 0, the second selection unit 315 determines that an improvement plan is needed and selects the second content, and if the deviation is 0, it determines that an improvement plan is not needed and does not select the second content. The second selection unit 315 is an example of a determination unit that determines whether an improvement plan is needed.

[0096] If the deviation in laundry amount is large, each process may take a long time because the laundry amount is large. If the deviation in position is large, the laundry position is uneven, so the washing process may take a long time. If the deviation in type is large, each process may take a long time because the laundry is not of the appropriate type for the course. If the deviation in temperature is large, the drying process may take a long time.

[0097] In the above cases, there is a risk that the actual driving time will be longer than the estimated time. From this perspective, an appropriate second content is selected by the second selection unit 315. The second content is, for example, text information that notifies the driver that the driving time may be long.

[0098] [1-1-2-2-5. About the third content] After the washing is completed, the third selection unit 316 selects the third content based on the determination result of the most recent washing.

[0099] As will be explained later, the third content indicates how much the scoring result has improved. Therefore, by being notified of the third content, user P can understand how much the state of the variable factors has improved. Therefore, the third content can be said to be a proposal that can improve the state of the variable factors that cause the operating time of washing machine 1 to fluctuate, and corresponds to an example of an improvement proposal.

[0100] For example, the third selection unit 316 refers to the scoring result based on the judgment result. Furthermore, the third selection unit 316 selects the third content based on the average score difference between the average score of the most recent laundry and the average score of past laundry cycles similar to the most recent laundry cycle. In this case, the content data 334 includes the average score difference and the third content in association with each other.

[0101] [1-1-2-2-6. About the fourth content] The third selection unit 316 further selects a fourth content based on the operation time of the current laundry. The fourth content corresponds to an example of an improvement plan.

[0102] For example, the third selection unit 316 selects the fourth content based on the time difference between the operation time for the current laundry and a display time (described later). In this case, the content data 334 stores the time difference and the fourth content in association with each other. Note that the third selection unit 316 may select the fourth content based on the time difference between the operation time and the estimated time, rather than the time difference between the operation time and the display time. The time difference is an example of the degree of time deviation.

[0103] The fourth content can display the difference between the driving time and the displayed time or the estimated time, thereby notifying the user that the condition of the variable factor has improved or worsened, and ultimately notifying the user of improvement suggestions.

[0104] [1-1-2-2-6. Changes] The change unit 317 changes the display time for the current wash based on the laundry data DR for the previous wash. The display time is a time value displayed on the terminal touch panel 452 of the terminal device 4.

[0105] Specifically, change unit 317 refers to the operation time of the previous washing, which is the same course as the current washing, among the laundry data DR, and changes the display time based on the operation time and the estimated time estimated by estimation unit 120. If the operation time is longer than the estimated time and the time difference therebetween is equal to or greater than a predetermined threshold, change unit 317 changes the display time to a time longer than the estimated time.

[0106] If the time difference is equal to or less than a predetermined threshold, or if there is no previous operation time, the change unit 317 determines the display time to be the estimated time. If there is no current operation time, this corresponds to, for example, a case where washing using a course similar to the current washing has never been performed in the past.

[0107] The change unit 317 may change the display time based on the operation time and the estimated time by referring to the operation time and the estimated time of multiple laundry data DR. For example, in this case, the change unit 317 changes the display time based on a data set having a display time linked to the average value of the difference between the estimated time and the operation time for one wash. This allows the display time to more closely approximate the actual operation time.

[0108] Note that the estimation unit 120 may further estimate the estimated time based on the previous determination result and the operation time of the previous washing. The configuration of the estimation unit 120 in this case will be described below. The estimation unit 120 estimates the estimated time based not only on the current determination result but also on the previous determination result and the operation time of the previous washing. The estimation unit 120 estimates the operation time from the state values ​​of the variable factors measured by the measurement unit 114, and further, if the time difference between the estimated operation time and the operation time of the previous washing is equal to or greater than a predetermined threshold, the estimation unit 120 changes the estimated time to a time longer than the estimated operation time.

[0109] [1-1-2-3. Terminal device configuration] Next, the configuration of the terminal device 4 will be described. FIG. 4 is a block diagram showing the configuration of the terminal device 4. As shown in FIG. The terminal device 4 includes a terminal control device 400, a terminal communication unit 451, and a terminal touch panel 452.

[0110] The terminal control device 400 includes a terminal processor 410 such as a CPU or MPU, a terminal memory 430, and an interface circuit to which other devices and sensors are connected. A terminal communication unit 451 and a terminal touch panel 452 are connected to the terminal control device 400. Note that other devices such as sensors may also be connected to the terminal control device 400.

[0111] The terminal memory 430 is a memory that stores programs and data. The terminal memory 430 stores a terminal APP 431, a dedicated ID 432, a washing machine ID 132 linked to the dedicated ID, and other data to be processed by the terminal processor 410. The terminal memory 430 has a non-volatile storage area. The terminal memory 430 may also have a volatile storage area and constitute a work area for the terminal processor 410. The terminal memory 430 is constituted by, for example, a ROM or a RAM. The dedicated ID 432 is dedicated identification information for accessing the management server 3. The dedicated ID 432 can identify one or more washing machines 1 owned by the user P.

[0112] The terminal communication unit 451 includes hardware such as a communication circuit that complies with a predetermined communication standard, and communicates with the management server 3 under the control of the terminal processor 410 . The terminal touch panel 452 is a touch panel.

[0113] The terminal processor 410 reads and executes the terminal APP 431 stored in the terminal memory 430, thereby functioning as a terminal communication control unit 411, a terminal display control unit 412, and a reception unit 413. The terminal display control unit 412 corresponds to an example of a notification unit and a driving time notification unit.

[0114] The terminal communication control unit 411 communicates with the management server 3 via the terminal communication unit 451 . The terminal display control unit 412 generates each screen described below and displays it on the terminal touch panel 452. The screens are, for example, a login screen G1, a selection screen G2, a top screen G3, a first details screen G4, a start notification screen G5, an end notification screen G6, a history screen G7, a second details screen G8, a first specific plan screen G9, a second specific plan screen G10, a third specific plan screen G11, and a fourth specific plan screen G12. These screens will be described in detail later. The reception unit 413 receives various inputs from the user P via the screens displayed on the terminal touch panel 452 .

[0115] [1-2. Operation] Next, the operation of washing machine system 1000 will be described.

[0116] [1-2-1. Operations related to the display of the top screen] FIG. 5 is a sequence diagram showing the operations of the user P, the terminal device 4, and the management server 3. As shown in FIG. First, the user P starts the terminal APP 431 (step SA1). In step SA1, the user P presses the logo displayed on the terminal touch panel 452. When the terminal APP 431 is started, the terminal display control unit 412 displays the login screen G1 (step SA2).

[0117] FIG. 6 shows an example of the login screen G1 and the device selection screen G2. The login screen G1 is a screen for confirming the dedicated ID 432 in order to connect the washing machine 1 owned by the user P to the terminal device 4. The login screen G1 displays information informing the user P that this is a screen for checking the dedicated ID 432. In FIG. 6, the character string "Login" corresponds to this information. The login screen G1 displays an ID input field L1 for inputting a dedicated ID 432 and a password input field L2 for inputting a password corresponding to the dedicated ID 432. The reception unit 413 receives the input of the dedicated ID into the ID input field L1 and the input of the password into the password input field L2 (step SA3). Next, when the login button B1 displayed on the login screen G1 is pressed, the terminal communication control unit 411 transmits the login information to the management server 3 (step SA4). In Fig. 6, the software button having the character string "login" is the login button B1.

[0118] The login information is information indicating the input dedicated ID 432 and password. If the entered password is correct, the management unit 312 identifies the record R having the dedicated ID 432 included in the login information (step SA5) and reads out the identified record R. Next, the server communication control unit 311 transmits the user information to the terminal device 4 (step SA6). The user information includes all of the information contained in the record R.

[0119] When the terminal communication unit 451 receives the user information, the terminal display control unit 412 transitions from the login screen G1 to display a device selection screen G2 (step SA7).

[0120] The device selection screen G2 is a screen on which the user P selects one or more washing machines 1 linked to the dedicated ID 432. The device selection screen G2 displays information informing the user P that it is a screen on which the user P selects one of the multiple washing machines 1 owned by the user P. In FIG. 6, the character string "Device Selection" corresponds to this information.

[0121] User P selects washing machine 1 by pressing any of selection buttons B2, B3, or B4 (step SA8). In Fig. 6, the software button having the character string "Washing Machine A" corresponds to selection button B2 of washing machine 1A, the software button having the character string "Washing Machine B" corresponds to selection button B3 of washing machine 1B, and the software button having the character string "Washing Machine C" corresponds to selection button B4 of washing machine 1C.

[0122] When the reception unit 413 receives the input of the selection buttons B2, B3, B4 (step SA9), the terminal display control unit 412 displays the top screen G3 corresponding to the selected washing machine 1 (step SA10).

[0123] FIG. 7 is a diagram showing an example of the top screen G3. The top screen G3 is a screen for the user P to perform operations related to one washing machine 1, and displays the character string "top screen."

[0124] The top screen G3 displays a course selection button B6 for selecting a washing course for the washing machine 1, a scoring button B7 for instructing a pre-measurement, which will be described later, a start button B8 for instructing the start of washing, and a history button B9 for checking the washing data DR.

[0125] In Figure 7, the software button having the string "Select course" corresponds to the course selection button B6, the software button having the string "Pre-measurement" corresponds to the scoring button B7, the software button having the string "Start driving" corresponds to the start button B8, and the software button having the string "Recently used courses" corresponds to the history button B9.

[0126] [1-2-2. Actions related to starting the wash] 8 is a sequence diagram showing the operations of user P, terminal device 4, management server 3, and washing machine 1. The operations shown in FIG. 8 are performed on the assumption that the operations shown in FIG. 5 have already been completed. The washing machine 1 shown in FIG. 8 is the washing machine 1 selected in the operations shown in FIG. 5.

[0127] First, the user P puts the clothes to be washed into the washing tub 156 (step SB1).

[0128] Next, user P selects a washing course for washing machine 1 (step SB2). Specifically, user P presses course selection button B6, and then selects one course from a course selection screen (not shown) that displays a list of courses. Reception unit 413 receives input from course selection button B6, terminal display control unit 412 displays the course list screen, and reception unit 413 further receives the selection of one course (step SB3).

[0129] The operation relating to the advance measurement will be described below. When performing preliminary measurement, the user P starts preliminary measurement with the course already selected (step SB4). Specifically, the user P presses the scoring button B7 displayed on the top screen G3 shown in FIG.

[0130] Accepting unit 413 accepts input of scoring button B7 as an instruction to start preliminary measurement (step SB5). Next, terminal communication control unit 411 transmits a signal requesting the start of measurement to management server 3 (step SB6). When server communication unit 351 receives the signal, server communication control unit 311 transmits a signal requesting the output of the measurement result to washing machine 1 (step SB7).

[0131] When washing machine communication unit 151 receives a signal from management server 3 requesting output of the measurement result, measurement unit 114 outputs the measurement result (step SB8). Specifically, operation control unit 112 operates each unit, and measurement unit 114 acquires the state values ​​of the fluctuation factors and outputs the measurement result. The measurement result in step SB8 is the measurement result of the preliminary measurement.

[0132] Washing machine communication control section 111 transmits measurement result information including the measurement result output by measurement section 114 to management server 3 (step SB9).

[0133] Based on the received measurement results, the determination unit 318 calculates the deviation degree, and the scoring unit 313 outputs the scoring result (step SB10). In step SB10, the determination unit 318 calculates the laundry amount deviation degree, position deviation degree, type deviation degree, and temperature deviation degree as described above, and the scoring unit 313 calculates the score for the amount of clothes, the score for the loading method, the score for the type of clothes, the score for the room temperature, and the average score based on the deviation degrees, and outputs the scoring result. Next, based on the scoring results, the first selection unit 314 selects a first content (step SB11). Next, based on the scoring results output in step SB10 and the first content selected in step SB11 that is linked to the scoring results, the first selection unit 314 selects a specific plan (step SB12). The processes from step SB5 to step SB10 correspond to the execution of preliminary measurement.

[0134] The server communication control unit 311 transmits the score result, the first content, and improvement plan information including the specific plan to the terminal device 4 (step SB13).

[0135] When the terminal communication unit 451 receives the improvement plan information, the terminal display control unit 412 generates and displays the first detailed screen G4 based on the improvement plan information (step SB14). For example, by recognizing the state of the variable factors that cause the driving time to fluctuate through the first detailed screen G4, the user P is motivated to carry out improvement work in accordance with the improvement plan. In other words, the first detailed screen G4 encourages the user P to carry out improvement work in accordance with the improvement plan information.

[0136] FIG. 9 is a diagram showing an example of the first detailed screen G4. The first detailed screen G4 is a screen that notifies the user P of improvement suggestions based on advance measurement, and displays the character string "Scoring Results." The improvement suggestions displayed on the first detailed screen G4 are the scoring results determined by the scoring unit 313 and the first content selected by the first selection unit 314.

[0137] The first detailed screen G4 displays score information J1 and improvement information J2 as improvement proposals related to the variable factors that may shorten the driving time.

[0138] The score information J1 includes average score information J3 and item score information J4 for each type of variation factor.

[0139] The average score information J3 displays the average score calculated by the scoring unit 313. The item score information J4 displays the scores determined by the scoring unit 313 for the amount of clothes, the loading method, the type of clothes, and the room temperature. 9, the character string "Score 85 points" corresponds to the average score information J3. In FIG. 9, the character string "·Amount of clothing 60 points" corresponds to the score for the amount of clothing, the character string "·Type of clothing 100 points" corresponds to the score for the type of clothing, the character string "·How to load 100 points" corresponds to the score for the loading method, and the character string "·Room temperature 80 points" corresponds to the score for the room temperature. Note that, based on the item score information J4 of "100 points for placement," user P recognizes that the state of the cloth position as a variation factor is good, and is motivated to continue to maintain the state of the cloth position in a good condition. In this way, even for the first content corresponding to the scoring result showing 100 points, user P is motivated to carry out improvement work to maintain the state of the current variation factor.

[0140] The improvement information J2 displays current state information J5 that indicates the first content based on the scoring results, and an improvement suggestion button B11 that indicates the first content and provides guidance to another improvement suggestion.

[0141] In FIG. 9, the character strings "There is too much clothing" and "The room temperature is a little low" correspond to the current status information J5.

[0142] The first detailed screen G4 has software buttons for guiding the user to the specific proposal selected by the first selection unit 314. In Fig. 9, the software button having the character string "I want to improve the amount of clothes" corresponds to the improvement proposal button B11, and the software button having the character string "I want to improve the room temperature" corresponds to the improvement proposal button B12. Details of the screens transitioned to by pressing the improvement proposal button B11 or the improvement proposal button B12 will be described later.

[0143] As described above, in the pre-measurement operation, the state of the variable factors can be measured and an improvement plan can be notified before starting washing in the washing machine 1. After the first detailed screen G4 is displayed, the terminal device 4 can transition to the top screen G3 again by a predetermined input by the user P.

[0144] The user P can again input the cloth (step SB1) and select the course (step SB2), and can also start the preliminary measurement again (step SB4).

[0145] This allows user P to check the first detailed screen G4, change the state of the variable factors, and then repeat the preliminary measurement for the desired course. Examples of means for changing the state of the variable factors, that is, improvement work, include reducing the amount of laundry, changing the type of laundry, reducing the number of laundry bags to put the laundry in, or changing to a course suitable for the type of laundry.

[0146] Although the configuration is such that preliminary measurement is performed for the selected course after the course is selected, this is not limiting. For example, preliminary measurement may be performed without selecting a course. In this case, preliminary measurement may be performed for each of any courses present in washing machine 1, and terminal display control unit 412 may display a list of the results of preliminary measurement for each course.

[0147] Returning to the explanation of the sequence diagram of Fig. 8, user P starts washing in washing machine 1 (step SB15). Specifically, start button B8 is pressed on top screen G3 shown in Fig. 7.

[0148] The reception unit 413 receives input from the start button B8 (step SB16). Terminal communication control unit 411 sends a signal including an instruction to start washing to management server 3 (step SB17), and when server communication unit 351 receives the signal, server communication control unit 311 sends a signal including an instruction to start washing to washing machine 1 (step SB18).

[0149] Next, measurement unit 114 outputs the measurement result in the same manner as in step SB8 (step SB19). Note that the measurement result in step SB19 is the measurement result for the current wash. Next, estimation unit 120 estimates the estimated time (step SB20). Next, operation control unit 112 starts the wash (step SB21).

[0150] When operation control unit 112 starts washing, washing machine communication control unit 111 transmits washing start information including the measurement result and estimated time to management server 3 (step SB22).

[0151] When the server communication unit 351 receives the laundry start information, the determination unit 318 calculates the deviation, the scoring unit 313 outputs the scoring result (step SB23), the first selection unit 314 selects the first content based on the scoring result (step SB24), and the second selection unit 315 selects the second content based on the determination result (step SB25). In step SB23, the determination unit 318 calculates the laundry amount deviation, position deviation, type deviation, and temperature deviation as described above, and the scoring unit 313 calculates the laundry amount score, loading method score, clothing type score, room temperature score, and average score based on the deviation, and outputs the scoring result. The processes from step SB19 to step SB23 correspond to the execution of driving measurement. The management unit 312 updates the management DB 332 (step SB26). Next, change unit 317 changes the current display time based on the previous laundry data DR (step SB27). That is, change unit 317 changes the current display time based on the determination result of determination unit 318 before the current operation and the operating time of washing machine 1 before the current operation. The current display time in step SB27 corresponds to an example of the "estimated value of the current operation time."

[0152] Next, the server communication control unit 311 transmits the display screen information including the display time and the improvement plan to the terminal device 4 (step SB28).

[0153] When the terminal communication unit 451 receives the display screen information, the terminal display control unit 412 generates and displays a start notification screen G5 based on the display screen information (step SB29).

[0154] FIG. 10 is a diagram showing an example of the start notification screen G5. The start notification screen G5 is a screen for notifying that washing of the washing machine 1 has started and for notifying an improvement plan, and displays the character string "Notification of operation start." The improvement plan displayed on the start notification screen G5 is the second content selected by the second selection unit 315.

[0155] The start notification screen G5 displays the display time, estimated time information J6 including information indicating that washing has started, and estimated information J7 indicating the second content based on the determination result.

[0156] In FIG. 10, the character string "Operation has started" corresponds to information indicating that washing has started, and the character string "70 minutes remaining" corresponds to the displayed time. In addition, in FIG. 10, the character string "Operation has started. Because the room temperature is low, it is expected that drying will take some time." corresponds to the estimated information J7 indicating the second content based on the determination result.

[0157] By displaying the estimated information J7, the user P is notified of the worsening condition of the variable factors and that the driving time may be longer due to the worsening condition of the variable factors, thereby encouraging improvement.

[0158] [1-2-3. Actions related to the end of washing] 11 is a sequence diagram showing the operations of user P, terminal device 4, management server 3, and washing machine 1. The operations shown in FIG. 11 are performed on the assumption that the operations shown in FIG. 8 have already been completed. The washing machine 1 shown in FIG. 11 is the same as the washing machine 1 shown in FIG. 8.

[0159] When the operation control unit 112 finishes washing, the operation control unit 112 measures the value of the current operation time (step SC1), and the washing machine communication control unit 111 sends washing completion information including the value of the operation time to the management server 3 (step SC2).

[0160] When the server communication unit 351 receives the washing completion information, the management unit 312 updates the management DB 332 (step SC3).

[0161] Next, the third selection unit 316 selects the third content (step SC4) and then the fourth content (step SC5).

[0162] Next, the management server 3 transmits the third content, the fourth content, and end screen information including the current driving time to the terminal device 4 (step SC6).

[0163] When the terminal communication unit 451 receives the end screen information, the terminal display control unit 412 generates and displays an end notification screen G6 based on the end screen information (step SC7).

[0164] FIG. 12 is a diagram showing an example of the end notification screen G6. The end notification screen G6 is a screen for notifying that the washing of the washing machine 1 has been completed and for providing an improvement plan, and displays the character string "Notification of operation completion." The improvement plan displayed on the end notification screen G6 is the third content and the fourth content selected by the third selection unit 316.

[0165] The end notification screen G6 displays a third content based on the determination result, first end information J8 including information indicating that the washing has finished, and second end information J9 showing a fourth content based on the current operating time.

[0166] In Fig. 12, the character string "The operation has finished" corresponds to information indicating that the washing is finished, and the character string "It has improved by 5 points from the last time" corresponds to the third content. Also, in Fig. 12, the character string "The operation has finished. It took 5 minutes longer than the estimated operation time. Please check for improvement suggestions" corresponds to the fourth content.

[0167] By displaying the first end information J8, the user P can be notified that the average score has improved from the previous time, and furthermore, can be notified of how to improve the state of the variation factors, thereby encouraging improvement.

[0168] In addition, by displaying the second termination information J9, the user P is notified that the driving time has become longer than the displayed time due to a worsening condition of the variable factor, and is encouraged to confirm further specific proposals and to improve the condition of the variable factor.

[0169] Returning to the explanation of the sequence diagram of Fig. 11, the user P checks the course history (step SC8) Specifically, the user P presses the history button B9 on the top screen G3 shown in Fig. 7.

[0170] The reception unit 413 receives input from the history button B9 (step SC9). The terminal device 4 transmits a signal requesting history screen information to the management server 3 (step SC10). Upon receiving the signal, the management server 3 transmits the history screen information to the terminal device 4 (step SC11).

[0171] The history screen information includes all the information recorded in one record R. The history screen information may be transmitted in advance from the management server 3 to the terminal device 4 and stored in the terminal memory 430 of the terminal device 4. In this case, step SC10 may not be provided. In this case, the terminal device 4 further receives the history screen information by communicating with the management server 3 at a predetermined period.

[0172] When the terminal device 4 receives the history screen information, the terminal display control section 412 generates and displays the history screen G7 based on the history screen information (step SC12).

[0173] FIG. 13 is a diagram showing an example of the history screen G7. The history screen G7 is a screen for displaying a list of the history of washing performed by the washing machine 1 in the past, and displays the character string "recently used courses."

[0174] The history screen G7 displays history information J10 that lists the names of washing courses that have been used in the past, their average scores, and a details button B20 for transitioning to a second details screen G8.

[0175] 13, a software button having the character string "Automatic" and the character string "90 points>" corresponding to the detail button B20 is displayed. This indicates that the average score for laundry recently performed using the automatic setting was 90. Similarly, FIG. 13 also displays a software button having the character string "Towels only" and the character string "70 points>", a software button having the character string "Blanket" and the character string "90 points>", and a software button having the character string "Automatic" and the character string "85 points>".

[0176] Returning to the explanation of the sequence diagram of Fig. 11, the user P checks the details of the course history (step SC13) Specifically, the user P presses the details button B20 on the history screen G7 shown in Fig. 13.

[0177] The reception unit 413 receives input of the details button B20 (step SC14). Next, the terminal display control unit 412 generates and displays a second details screen G8 based on the history screen information (step SC15). Note that the history screen information is the information transmitted from the management server 3 to the terminal device 4 in step SC11.

[0178] If the display target of the history information J10 cannot be displayed on the terminal touch panel 452, the history screen G7 may display a scroll bar.

[0179] FIG. 14 is a diagram showing an example of the second detailed screen G8.

[0180] The second details screen G8 is a screen that notifies the user P of an improvement plan for one past laundry, and displays the string "Recently used course>Automatic." The improvement plan displayed on the second details screen G8 is the scoring result determined by the scoring unit 313 and the first content selected by the first selection unit 314. The example of the second detailed screen G8 shown in Figure 14 is a screen that is displayed when user P presses ``90 points>'', which corresponds to the detailed button B20 and the string ``Automatic'' on the history screen G7 shown in Figure 13.

[0181] The second detailed screen G8 displays score information J1, time information J11, and improvement information J2 as improvement proposals related to variable factors that may shorten the driving time.

[0182] The score information J1 includes average score information J3 and item score information J4 for each type of variation factor.

[0183] The average score information J3 displays the average score calculated by the scoring unit 313. The item score information J4 displays the scores determined by the scoring unit 313 for the amount of clothes, the loading method, the type of clothes, and the room temperature.

[0184] In Fig. 14, the character string "Score 90 points" corresponds to the average score information J3. In Fig. 14, the character string "·Amount of clothing 100 points" corresponds to the score for the amount of clothing, the character string "·Type of clothing 80 points" corresponds to the score for the type of clothing, the character string "·How to load 80 points" corresponds to the score for the loading method, and the character string "·Room temperature 100 points" corresponds to the score for the room temperature.

[0185] The time information J11 includes information J12 about the current driving time and information J13 about the display time. The terminal display control unit 412 generates time information J11 based on the history screen information. In Figure 14, the string "Current driving time: 55 minutes" corresponds to the current driving time information J12 generated by the terminal display control unit 412, and the string "Current driving time (estimated): 50 minutes" corresponds to the display time information J13 generated by the terminal display control unit 412.

[0186] The improvement information J2 displays current state information J5 indicating the first content based on the scoring results, and improvement suggestion buttons B13 and B14 indicating the first content and providing guidance to other improvement suggestions.

[0187] In FIG. 14, the character strings "Clothes do not match the course" and "Clothes are unevenly distributed" correspond to the current situation information J5.

[0188] The second details screen G8 has a software button for guiding to the specific plan selected by the first selection unit 314.

[0189] 14, the software button having the character string "I want to improve the type of clothing" corresponds to the improvement suggestion button B13, and the software button having the character string "I want to improve the way I put things together" corresponds to the improvement suggestion button B14. Details of the screens transitioned to when the improvement suggestion buttons B13 and B14 are pressed will be described later.

[0190] 9 and 14, and the score information J1 including these, correspond to an example of an improvement plan. If the average score information J3 indicates that the average score is less than 100 points, the user P is notified that the condition of the variation factors has deteriorated, and it is possible to encourage improvement. If the item score information J4 indicates that the scoring result is less than 100 points, the user P is notified that the amount of laundry, unevenness in the position of the laundry, the type of laundry, and the room temperature condition have deteriorated, and it is possible to encourage improvement. 9 and 14, and the improvement information J2 including the current status information J5 correspond to an example of an improvement plan. The current status information J5 notifies the user P that any of the following has deteriorated: the amount of laundry, the uneven position of the laundry, the type of laundry, or the room temperature, for which the score is less than 100 points, and encourages the user P to make an improvement.

[0191] 14, the information J12 on the current driving time, the information J13 on the display time, and the time information J11 including these correspond to an example of an improvement plan. The information J12 on the driving time and the information J13 on the display time can notify the user P that the driving time has become longer than the display time and that the condition of the variable factor has worsened, thereby encouraging the user P to make an improvement.

[0192] [1-2-4. Actions related to the improvement proposal button] 8 and 9, the terminal display control unit 412 generates and displays the first detailed screen G4 based on the improvement plan information (step SB14). Also, as described with reference to Fig. 11 and 14, the terminal display control unit 412 generates and displays the second detailed screen G8 based on the history screen information (step SC15).

[0193] On the first detailed screen G4 and the second detailed screen G8, improvement plan buttons B11, B12, B13, and B14 are generated and displayed based on the scoring results.

[0194] The improvement suggestion button B11 is a button that is displayed when the score for the amount of clothing is not 100 points, and is a button that triggers transition to the first specific suggestion screen G9, which notifies the user of the first specific suggestion, which is an improvement suggestion related to the amount of clothing.

[0195] The improvement suggestion button B14 is a button that is displayed when the score for the insertion method is not 100 points, and is a trigger that transitions to the second specific suggestion screen G10, which notifies the user of the second specific suggestion, which is an improvement suggestion related to the imbalance in the position of the cloth.

[0196] The improvement suggestion button B13 is a button that is displayed when the score for the clothing type is not 100 points, and is a trigger that transitions to the third specific suggestion screen G11, which notifies the user of the third specific suggestion, which is an improvement suggestion related to the type of fabric.

[0197] The improvement suggestion button B12 is a button that is displayed when the room temperature score is not 100 points, and is a trigger that transitions to the fourth specific suggestion screen G12, which notifies the fourth specific suggestion, which is an improvement suggestion related to the imbalance in the position of the cloth.

[0198] FIG. 15 is a diagram showing an example of the first specific plan screen G9. The first specific plan screen G9 displays the first specific plan J20 selected by the first selection unit 314. In FIG. 15, the text "We recommend reducing the amount of clothes below the upper capacity limit of the automatic course" corresponds to the first specific plan J20. Also, in FIG. 15, the text "Automatic course capacity: Wash up to 12 kg, Dry up to 6 kg" corresponds to the first specific plan. By displaying the first specific plan J20, the user P can be encouraged to improve the amount of laundry.

[0199] FIG. 16 is a diagram showing an example of the second specific plan screen G10. The second specific plan screen G10 displays the second specific plan J21 selected by the first selection unit 314. In FIG. 16, the following text corresponds to the second specific plan J21: "Put less clothes in the laundry net. If there are only a few clothes, add one or two bath towels. If there are a lot of clothes, untangle them and wash them separately." By displaying the second specific plan J21, the user P can be encouraged to improve the bias in the position of the cloth.

[0200] FIG. 17 is a diagram showing an example of the third specific plan screen G11. The third specific plan screen G11 displays the third specific plan J22 selected by the first selection unit 314. In FIG. 17, the character string "blanket," image information resembling a blanket, and the character string "We recommend washing sheets using the blanket cycle" correspond to the third specific plan J22. By displaying the third specific proposal J22, the user P can be encouraged to improve the type of fabric.

[0201] FIG. 18 is a diagram showing an example of the fourth specific plan screen G12. The fourth specific plan screen G12 displays the fourth specific plan J23 selected by the first selection unit 314. In Fig. 18, the following text corresponds to the fourth specific plan J23: "When the room temperature is low, it takes time for the heater to heat the air that has been taken in, which increases the drying time. The drying capacity also decreases. In particular, if the washing machine is installed outdoors, such as in a garage or hallway, it is more susceptible to the influence of the environment. If you were able to dry before it got cold, we recommend that you wait and see for a while." By displaying the fourth specific suggestion J23, the user P can be encouraged to improve the temperature.

[0202] The first specific plan J20 shown in FIG. 15, the second specific plan J21 shown in FIG. 16, the third specific plan J22 shown in FIG. 17, and the fourth specific plan J23 shown in FIG. 18 correspond to examples of improvement plans.

[0203] [1-3. Effects, etc.] As described above, washing machine system 1000 includes washing machine 1, terminal display control unit 412, and measurement unit 114 that measures the state of a variable factor that varies the operation time required for washing by washing machine 1. Terminal display control unit 412 notifies an improvement plan based on the measurement result measured by measurement unit 114. This allows the user to be notified of improvement measures for improving the fluctuation factors based on the measurement results that reflect the state of the fluctuation factors, thereby reducing the operation time required for washing.

[0204] Furthermore, washing machine system 1000 includes first selection unit 314 and second selection unit 315 that determine whether an improvement plan is necessary based on the measurement result for each type of variation factor. When first selection unit 314 and second selection unit 315 determine that an improvement plan is necessary, terminal display control unit 412 notifies the user of the improvement plan according to the type of variation factor. This makes it possible to determine whether an improvement plan is necessary based on the calculation results for each type of variation factor, and to notify an improvement plan according to the type of variation factor. Therefore, it is possible to notify an appropriate improvement plan according to the type of variation factor.

[0205] Furthermore, washing machine system 1000 includes first selection unit 314 that selects an improvement plan based on the degree of deviation between the measurement result and the state of a predetermined variable factor. Terminal display control unit 412 notifies the improvement plan selected by first selection unit 314. This allows the notification of an improvement plan based on the degree of deviation between the measurement result and the state of the predetermined variable factor, thereby making it possible to notify a detailed improvement plan.

[0206] Furthermore, washing machine system 1000 includes scoring unit 313 that evaluates the state of the fluctuation factor based on the degree of deviation, and terminal display control unit 412 notifies the result of scoring by scoring unit 313. This allows the scoring result to be notified as an improvement proposal. Therefore, the improvement proposal becomes easier for user P to understand, which may make it easier for user P to carry out improvement work. Furthermore, if the scoring result is good, the scoring result encourages user P to carry out improvement work to maintain the good scoring result.

[0207] Furthermore, washing machine 1 can perform operation measurement after starting laundry processing. Washing machine system 1000 includes second selection unit 315 that, when operation measurement is performed and the deviation exceeds a threshold value after washing machine 1 starts a washing operation, selects an improvement plan. Terminal display control unit 412 notifies the user of the improvement plan selected by second selection unit 315. This allows the user to be notified of an improvement plan when the deviation is large and the operation time is likely to be long, thereby shortening the operation time required for washing.

[0208] Furthermore, washing machine 1 can perform preliminary measurement to measure operation before starting a washing operation. When preliminary measurement is performed, measurement unit 114 measures the state of a variable factor that varies the operation time required for washing by washing machine 1, first selection unit 314 and second selection unit 315 determine whether an improvement plan is necessary based on the degree of deviation between the measurement result measured by measurement unit 114 and the state of a predetermined variable factor, and terminal display control unit 412 notifies washing machine 1 of an improvement plan based on the determination result before starting a laundry processing operation. This allows the user to be notified of the improvement plan before the start of washing, which allows the user to start washing after improving the state of the variable factors through the notification of the improvement plan, thereby preventing the operation time from becoming too long.

[0209] Furthermore, the washing machine 1 can repeatedly perform preliminary measurement before starting a washing operation. This allows the user P to measure the state of the variable factors again after working according to the improvement plan, and therefore, start washing after confirming that the state of the variable factors has improved as a result of the work.

[0210] In addition, washing machine system 1000 includes terminal display control unit 412 that notifies an estimated value as the operating time of washing operation of washing machine 1, and change unit 317 that changes the estimated value based on the measurement result of measurement unit 114, and terminal display control unit 412 notifies the estimated value. This allows the display time, which indicates the estimated driving time, to be closer to the actual driving time.

[0211] Furthermore, washing machine system 1000 includes terminal display control unit 412 that notifies an estimated value as the operation time of washing machine 1, and third selection unit 316 that selects an improvement plan based on the degree of discrepancy between the estimated value and the actual operation time taken for the current washing operation after washing machine 1 has finished the washing operation. Terminal display control unit 412 notifies the improvement plan selected by third selection unit 316. This allows the system to notify users of improvements based on the difference between the operation time and the displayed time after the wash is complete. This allows the system to notify users whether the operation time is longer than the displayed time and to notify users of detailed improvements.

[0212] After the washing machine 1 has finished washing, the terminal display control unit 412 notifies the user of an improvement plan based on the determination result. This allows the user P to be notified of improvement plans for the current wash, which allows the user P to improve the state of the variable factors in the next and subsequent washes.

[0213] Furthermore, the method for controlling washing machine 1 in this embodiment measures the state of a variable factor that causes a change in the operation time required for washing, and notifies the user of an improvement plan based on the measurement result. This allows the user to be notified of improvement measures for improving the fluctuation factors based on the measurement results that reflect the state of the fluctuation factors, thereby reducing the operation time required for washing.

[0214] (Embodiment 2) Next, a second embodiment will be described. [2-1.Configuration] 19 is a block diagram showing the configuration of a washing machine 1001 according to Embodiment 2. The washing machine 1001 is an example of a clothing processing device.

[0215] The same components as those in FIGS. 2, 3, and 4 are denoted by the same reference numerals and will not be described. Washing machine memory 130 in the second embodiment stores control program 131, laundry data DR, scoring data 333, content data 334, and other data to be processed by washing machine processor 110.

[0216] The laundry data DR corresponds to the laundry data DR held in the management DB 332 shown in FIG.

[0217] Washing machine processor 110 of washing machine 1001 reads and executes control program 131 stored in washing machine memory 130, thereby functioning as operation control unit 112, washing machine display control unit 113, measurement unit 114, judgment unit 318, and estimation unit 120, and further functions as update unit 1312, scoring unit 313, first selection unit 314, second selection unit 315, third selection unit 316, change unit 317, judgment unit 318, and reception unit 413.

[0218] Washing machine display control unit 113 generates each screen described in the first embodiment and displays it on washing machine touch panel 153. Terminal touch panel 452 in the first embodiment corresponds to washing machine touch panel 153 in the second embodiment. In the second embodiment, the washing machine display control unit 113 corresponds to an example of a notification unit and an operation time notification unit.

[0219] The update unit 1312 performs processing related to the laundry data DR. In particular, the update unit 1312 updates the laundry data DR.

[0220] [2-2. Operation] FIG. 20 is a sequence diagram showing the operations of user P and washing machine 1001.

[0221] First, user P puts the clothes to be washed into washing tub 156 (step SD1). Next, user P selects a washing course for washing machine 1 (step SD2), and reception unit 413 receives the selection of one course (step SD3).

[0222] When performing pre-measurement, the user P starts pre-measurement with the course already selected (step SD4). The reception unit 413 receives input of the scoring button B7 as an instruction to start pre-measurement (step SD5).

[0223] Next, the measurement unit 114 outputs the measurement results (step SD6), the determination unit 318 calculates the deviation based on the measurement results, and the scoring unit 313 outputs the scoring results based on the deviation as the determination result (step SD7). In step SB23, the determination unit 318 calculates the laundry amount deviation, position deviation, type deviation, and temperature deviation as described above, and the scoring unit 313 calculates the score for the amount of clothes, the score for the loading method, the score for the type of clothes, the score for the room temperature, and the average score based on the deviation, and outputs the scoring results. Next, the first selection unit 314 selects a first content based on the scoring results (step SD8). Next, the first selection unit 314 selects a specific plan based on the scoring results output in step SD7 and the first content selected in step SD8 that is linked to the scoring results (step SD9). The processes from step SD4 to step SD7 correspond to the execution of preliminary measurement.

[0224] Next, washing machine display control section 113 references washing machine memory 130 and generates and displays first detailed screen G4 (step SD10). User P, for example, is motivated to carry out improvement work in accordance with the improvement plan by recognizing the state of the variable factors that cause the operation time to fluctuate through first detailed screen G4. In other words, first detailed screen G4 encourages user P to carry out improvement work in accordance with the improvement plan information.

[0225] The user P starts washing in the washing machine 1 (step SD11). Specifically, the user presses the start button B8 on the top screen G3 shown in FIG.

[0226] The reception unit 413 receives input from the start button B8 (step SD12). Next, the measurement unit 114 outputs the measurement result in the same manner as in step SB8 (step SD13). The measurement result output in step SD13 corresponds to an example of the current measurement result. Next, the estimation unit 120 estimates an estimated time (step SD14). Next, the operation control unit 112 starts washing (step SD15).

[0227] When the operation control unit 112 starts washing, the determination unit 318 calculates the deviation, the scoring unit 313 outputs the scoring result (step SD16), and the first selection unit 314 selects a first content and a specific plan based on the scoring result (step SD17). Next, the second selection unit 315 selects a second content based on the determination result (step SD18). In step SB23, the determination unit 318 calculates the laundry amount deviation, position deviation, type deviation, and temperature deviation as described above, and the scoring unit 313 calculates a score for the amount of laundry, a score for the loading method, a score for the type of laundry, a score for the room temperature, and an average score based on the deviation, and outputs the scoring result. The processes from step SD13 to step SD16 correspond to the execution of driving measurement.

[0228] The update unit 1312 updates the laundry data DR (step SD19). Next, change unit 317 changes the current display time based on the previous laundry data DR (step SD20). The current display time in step SD20 corresponds to an example of an estimated value of the current operation time.

[0229] Next, washing machine display control section 113 references washing machine memory 130 to generate and display start notification screen G5 (step SD21).

[0230] Fig. 21 is a sequence diagram showing the operations of the user P and the washing machine 1. The operations shown in Fig. 21 are performed on the assumption that the operations shown in Fig. 20 have already been completed.

[0231] When the washing operation is completed, the operation control unit 112 measures the value of the current operation time (step SE1), and the update unit 1312 updates the washing data DR (step SE2).

[0232] Next, the third selection unit 316 selects the third content (step SE3) and then the fourth content (step SE4).

[0233] Next, terminal display control section 412 refers to washing machine memory 130, generates and displays end notification screen G6 (step SE5). Next, the user P checks the course history (step SE6). Specifically, the user P presses the history button B9 on the top screen G3 shown in FIG.

[0234] The accepting unit 413 accepts the input from the history button B9 (step SE7).

[0235] Terminal display control section 412 references washing machine memory 130, generates history screen G7, and displays it (step SE8). Next, the user P checks the details of the course history (step SE9). Specifically, the user P presses the details button B20 on the history screen G7 shown in FIG.

[0236] Accepting unit 413 accepts input of details button B20 (step SE10). Next, terminal display control unit 412 refers to washing machine memory 130, generates second details screen G8, and displays it (step SE11).

[0237] [2-3. Effects] As described above, washing machine 1001 in embodiment 2 includes washing machine display control unit 113 and measurement unit 114 that measures the state of variable factors that cause fluctuations in the operation time required for washing, and washing machine display control unit 113 notifies of improvement suggestions based on the measurement results measured by measurement unit 114. This allows the user to be notified of improvement measures for improving the fluctuation factors based on the measurement results that reflect the state of the fluctuation factors, thereby reducing the operation time required for washing.

[0238] (Other embodiments) As described above, the above-mentioned first and second embodiments have been described as examples disclosed in the present application. However, the technology in the present disclosure is not limited to these, and can be applied to embodiments in which modifications, substitutions, additions, omissions, etc. are made. Furthermore, it is also possible to combine the components described in the above-mentioned first and second embodiments to create new embodiments. Therefore, other embodiments will be described below as examples.

[0239] In the above-described embodiment, the drum-type washing machine 1, 1001 is exemplified as the clothing treatment device, but the clothing treatment device may be a vertical washing machine, a washer-dryer, or a dryer. When the clothing treatment device is a dryer, the clothing treatment is defined as drying only. Furthermore, in the first embodiment, three washing machines 1A, 1B, and 1C are installed, but the number of washing machines 1 may be one, or four or more.

[0240] Although terminal display control unit 412 has been exemplified in the first embodiment and washing machine display control unit 113 has been exemplified in the second embodiment as the notification unit that notifies the improvement proposal, the present invention is not limited to this. The notification unit may provide an improvement proposal that allows user P to improve the state of a variable factor that causes fluctuations in the operation time of washing machine 1, 1001 so as to shorten the operation time of washing machine 1. For example, the notification unit may be configured to notify the improvement proposal by using a speaker, which is an audio output device provided in terminal device 4 or washing machine 1001, and play a voice message or a predetermined melody from the speaker.

[0241] The notification unit may be configured to notify the improvement plan by printed matter via a printing device included in the washing machine system 1000.

[0242] In the first embodiment, washing machine system 1000 includes washing machine 1, terminal device 4, and management server 3, but washing machine system 1000 may include terminal device 4 and washing machine 1001 in the second embodiment. In this case, washing machine 1001 includes washing machine communication control unit 111 and washing machine communication unit 151, and communicates with terminal device 4 without going through network NW.

[0243] In the above-described embodiments, the evaluation unit is exemplified by the scoring unit 313, and the scoring unit 313 is configured to calculate the degree of deviation of the variation factor as a numerical value, but the present invention is not limited to this. The evaluation unit may be configured to evaluate the state of the variation factor, and may be configured to, for example, rank the degree of deviation between the measurement result and the state of a predetermined variation factor using letters of the alphabet, etc.

[0244] In the above-described embodiment, a dedicated application program to be installed is exemplified as a program for realizing each functional unit of the terminal processor 410, but the program may be a browser or the like.

[0245] Washing machine processor 110, server processor 310, and terminal processor 410 may be configured with a single processor or multiple processors. These processors may be hardware programmed to realize the corresponding functional units. That is, these processors may be configured with, for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0246] The configurations of washing machine 1, terminal device 4, and management server 3 shown in Figures 2, 3, 4, and 19 are merely examples, and the specific implementation form is not particularly limited. In other words, it is not necessarily necessary to implement hardware corresponding to each unit individually, and it is also possible to configure each unit to realize its function by having one processor execute a program. Also, some of the functions realized by software in the above-described embodiments may be implemented by hardware, or some of the functions realized by hardware may be implemented by software.

[0247] The step units of the operations shown in Figures 5, 8, 11, 20, and 21 are divided according to the main processing content to make the operations easier to understand, and the operation is not limited by the way the processing units are divided or the names of the processing units. The operations may be divided into more step units depending on the processing content. Furthermore, one step unit may be divided so that it includes more processing. Furthermore, the order of the steps may be changed as appropriate within the scope that does not interfere with the purpose of this disclosure.

[0248] It should be noted that the above-described embodiments are intended to illustrate the technology of the present disclosure, and various modifications, substitutions, additions, omissions, etc. may be made within the scope of the claims or their equivalents.

[0249] (Addendum) The above description of the embodiments discloses the following techniques.

[0250] (Technology 1) A clothing processing device system comprising a clothing processing device, an alarm unit, and a measurement unit that measures the state of variable factors that change the operating time required for clothing processing by the clothing processing device, and the alarm unit notifies of improvement suggestions based on the measurement results measured by the measurement unit. This allows the user to be notified of improvement measures for improving the factors of variation based on the measurement results that reflect the state of the factors of variation, thereby reducing the operation time required for laundry processing.

[0251] (Technology 2) A clothing processing device system as described in Technology 1, which includes a judgment unit that judges whether the improvement plan is necessary based on the measurement results for each type of variable factor, and when the judgment unit judges that the improvement plan is necessary, the notification unit notifies the improvement plan according to the type of variable factor. This makes it possible to determine whether an improvement plan is necessary based on the calculation results for each type of variation factor, and to notify an improvement plan according to the type of variation factor. Therefore, it is possible to notify an appropriate improvement plan according to the type of variation factor.

[0252] (Technology 3) A clothing processing device system as described in Technology 1 or 2, comprising a first selection unit that selects the improvement plan based on the degree of deviation between the measurement results and the state of a predetermined variable factor, and the notification unit notifies the improvement plan selected by the first selection unit. This allows the notification of an improvement plan based on the degree of deviation between the measurement result and the state of the predetermined variable factor, thereby making it possible to notify a detailed improvement plan.

[0253] (Technology 4) A clothing processing device system described in any one of technologies 1 to 3, comprising an evaluation unit that evaluates the state of the variable factors based on the deviation, and the notification unit that notifies the evaluation result by the evaluation unit. This allows the evaluation results to be reported as improvement proposals. This makes the improvement proposals easier for the user to understand, which may facilitate the user's improvement work. Furthermore, if the evaluation results are good, the evaluation results encourage the user to take improvement work to maintain the good evaluation results.

[0254] (Technology 5) A clothing processing device system described in any one of technologies 1 to 4, wherein the clothing processing device is capable of performing operation measurements after starting clothing processing, and when the operation measurements are performed, the clothing processing device is provided with a second selection unit that selects the improvement plan if the deviation exceeds a threshold value after starting clothing processing operation, and the notification unit notifies the improvement plan selected by the second selection unit. This allows the notification of an improvement plan when the deviation is large and the operation time is likely to be long, thereby shortening the operation time required for laundry processing.

[0255] (Technology 6) A clothing processing device system described in any one of Technologies 1 to 5, wherein the clothing processing device is capable of performing a pre-measurement to measure operation before starting clothing processing, and when the pre-measurement is performed, the measurement unit measures the state of a variable factor that varies the operation time required for clothing processing of the clothing processing device, the judgment unit judges whether the improvement plan is necessary based on the degree of deviation between the measurement result measured by the measurement unit and the state of a predetermined variable factor, and the notification unit notifies the improvement plan based on the judgment result of the judgment unit before the clothing processing device starts clothing processing operation. This allows the user to be notified of the improvement plan before starting laundry processing, which allows the user to start laundry processing after improving the status of the variable factors through the notification of the improvement plan, thereby preventing the operation time from becoming too long.

[0256] (Technology 7) A clothing treatment device system according to any one of technologies 1 to 6, wherein the clothing treatment device is capable of repeatedly performing the preliminary measurement before starting a clothing treatment operation. This allows the user to measure the state of the variable factors again after working according to the improvement plan, and thus start clothing processing after confirming that the state of the variable factors has improved as a result of the work.

[0257] (Technology 8) A clothing processing device system described in any of Technologies 1 to 7, comprising an operation time notification unit that notifies an estimated value as the operation time of the clothing processing device's clothing processing operation, and a change unit that changes the estimated value based on the measurement results of the measurement unit, wherein the operation time notification unit notifies the estimated value. This allows the display time, which indicates the estimated driving time, to be closer to the actual driving time.

[0258] (Technology 9) A clothing processing device system described in any of Technologies 1 to 8, comprising an operation time notification unit that notifies an estimated value as the operation time of the clothing processing device's clothing processing operation, and a third selection unit that, after the clothing processing device has completed its clothing processing operation, selects an improvement plan based on the degree of deviation between the actual operation time taken for this clothing processing operation and the estimated value, and the operation time notification unit notifies the improvement plan selected by the third selection unit. According to this, after the laundry processing operation is completed, an improvement proposal based on the difference between the operation time and the displayed time can be notified. Therefore, it is possible to notify whether the operation time is longer than the displayed time and to notify detailed improvement proposals.

[0259] (Technology 10) A clothing processing device system described in any one of technologies 1 to 9, wherein the notification unit notifies the improvement plan based on the judgment result of the judgment unit after the clothing processing operation of the clothing processing device has been completed. This allows the user to be notified of improvement plans for the current clothing processing, thereby enabling the user to improve the status of the variable factors for the next and subsequent clothing processing.

[0260] (Technology 11) A method for controlling a clothing processing device that measures the state of variable factors that change the operating time required for clothing processing and notifies users of improvement suggestions based on the measurement results. This provides the same effects and advantages as those of the first technique.

[0261] (Technology 12) A clothing processing device comprising an alarm unit and a measurement unit that measures the state of variable factors that cause fluctuations in the operating time required for clothing processing, and the alarm unit notifies of improvement suggestions based on the measurement results measured by the measurement unit. This provides the same effects and advantages as those of the first technique. [Industrial Applicability]

[0262] As described above, the washing machine system, washing machine control method, and washing machine according to the present invention can be used to notify users of improvement suggestions when the operating time can be reduced by improving the factors that cause fluctuations in the operating time of the power supply device. [Explanation of symbols]

[0263] 1, 1A, 1B, 1C, 1001 Washing machine (clothing treatment device) 3 Management Server 4 Terminal Devices 100 Washing machine control device 110 Washing Machine Processor 111 Washing machine communication control unit 112 Operation control unit 113 Washing machine display control unit (alarm unit) 114 Measurement Unit 115 Cloth quantity measurement section 116 Position measurement unit 117 Type Measurement Section 118 Temperature measurement unit 120 Estimation part 130 Washing Machine Memory 152 Operation Panel 153 Washing machine touch panel 156 Washing machine tub 157 Drive motor 158 Identification Unit 159 Vibration Sensor 160 Temperature Sensor 161 Compressor 300 Server control device 310 Server Processor 312 Management Department 313 Scoring Department 314 1st Selection Department 315 2nd Selection Department 316 Third Selection Department 317 Changes 318 Judgment section 330 Server Memory 332 Management DB 333 Scoring Data 334 Content Data 400 Terminal control device 401 Terminal communication unit 410 Terminal Processor 412 Terminal display control unit (notification unit, driving time notification unit) 413 Reception Department 430 terminal memory 432 Dedicated ID 452 Terminal Touch Panel 1000 Washing Machine System 1312 Update Department DR Laundry Data G1 login screen G2 Selection Screen G3 top screen G4 1st details screen G5 start notification screen G6 End notification screen G7 History Screen G8 2nd details screen G9 1st concrete plan screen G10 2nd concrete plan screen G11 3rd concrete plan screen G12 4th concrete plan screen H Facility J1 score information (improvement proposal) J2 Improvement information (improvement proposal) J3 average score information (improvement proposal) J4 item score information (improvement proposal) J5 Current status information (improvement proposal) J6 Estimated time information J7 Estimated information (improvement proposal) J8 1st End Information (Improvement Proposal) J9 2nd End Information (Improvement Suggestion) J10 History Information J11 Time information (improvement proposal) J12 Operation time information (improvement proposal) J13 Display time information (improvement proposal) J20 1st concrete proposal (improvement proposal) J21 2nd concrete plan (improvement plan) J22 3rd concrete plan (improvement plan) J23 4th concrete plan (improvement plan) NW Network

Claims

1. A clothing treatment device; The notification department, a measuring unit that measures the state of a variable factor that causes a change in the operation time required for the laundry processing of the laundry processing device, The clothing processing device system, wherein the notification unit notifies an improvement plan based on the measurement results measured by the measurement unit.

2. a determination unit that determines whether the improvement plan is necessary based on the measurement results for each type of the variation factor; the notification unit notifies the improvement plan according to the type of the fluctuation factor when the determination unit determines that the improvement plan is necessary. The clothing treatment system of claim 1 .

3. a first selection unit that selects the improvement plan based on a degree of deviation between the measurement result and a predetermined state of the variable factor; the notification unit notifies the improvement plan selected by the first selection unit. The clothing treatment device system according to claim 2 .

4. an evaluation unit that evaluates a state of the fluctuation factor based on the deviation; The notification unit notifies the evaluation result by the evaluation unit. The clothing treatment device system according to claim 3 .

5. The laundry processing device can perform operation measurement after starting laundry processing, When the driving measurement is performed, a second selection unit that selects the improvement plan when the deviation exceeds a threshold value after the laundry processing device starts a laundry processing operation; the notification unit notifies the improvement plan selected by the second selection unit. The clothing treatment device system according to claim 3 or 4.

6. The laundry processing device is capable of performing a pre-measurement to perform an operation measurement before starting the laundry processing, When the preliminary measurement is performed, The measuring unit measures the state of a variable factor that causes a change in the operation time required for the laundry processing of the laundry processing device. the determining unit determines whether the improvement plan is necessary based on a degree of deviation between a measurement result measured by the measuring unit and a state of a predetermined variable factor; The notification unit notifies the improvement plan based on the determination result of the determination unit before the clothing processing device starts a clothing processing operation. The clothing treatment device system according to any one of claims 2 to 4.

7. The laundry processing device can repeatedly perform the preliminary measurement before starting the laundry processing operation. The clothing treatment system according to claim 6.

8. an operation time notification unit that notifies an estimated value as the operation time of the clothing processing operation of the clothing processing device; a change unit that changes the estimated value based on the measurement result of the measurement unit, The driving time notification unit notifies the estimated value. The clothing treatment device system according to any one of claims 2 to 4.

9. an operation time notification unit that notifies an estimated value as the operation time of the clothing processing operation of the clothing processing device; a third selection unit that selects the improvement plan based on the deviation of the estimated time from the actual operation time of the current laundry processing operation after the laundry processing device has finished the laundry processing operation; The driving time notification unit notifies the improvement plan selected by the third selection unit. The clothing treatment device system according to any one of claims 2 to 4.

10. After the laundry processing operation of the laundry processing device is completed, the notification unit notifies the improvement plan based on the judgment result of the judgment unit. The clothing treatment device system according to claim 2 or 3.

11. Measure the status of variables that affect the operating time required for laundry processing, Providing improvement proposals based on measurement results, A method for controlling a clothing treatment device.

12. The notification department, a measuring unit that measures the state of a variable factor that causes a change in the operation time required for laundry processing; The notification unit notifies the user of an improvement plan based on the measurement results obtained by the measurement unit.

Images