JP2021159212A - Control device - Google Patents

Abstract

To provide a control device capable of detecting a problem related to drainage with high accuracy.SOLUTION: A control device according to the present invention includes a drainage-rate acquisition unit that acquires time-series data related to a drainage rate of a washing machine, a change-amount calculation unit that calculates a change amount of the time-series data, and a determination unit that determines a problem related to drainage of the washing machine on the basis of the change amount.SELECTED DRAWING: Figure 2

Description

The present invention relates to a control device.

For example, Patent Document 1 discloses a washing machine configured to detect clogging of a drainage filter. The above-mentioned washing machine is equipped with a water level sensor that detects the water level in the washing tub, compares the amount of change in water level (drainage rate) per hour detected by the water level sensor with a predetermined threshold, and is there a clogging of the drainage filter. Is judged.

Japanese Unexamined Patent Publication No. 2013-081712

However, in the above-mentioned washing machine control device (operation control unit), for example, if a trouble occurs due to an abnormality in the drainage filter or the drainage route, but the drainage speed is equal to or higher than the threshold value, the trouble occurs. Was sometimes unable to be found.

Therefore, an object of the present invention is, as an example, to provide a control device capable of detecting an abnormality related to wastewater with higher accuracy.

The control device according to one aspect of the present invention is based on a drainage speed acquisition unit that acquires time-series data relating to the drainage speed of the washing machine, a change amount calculation unit that calculates the change amount of the time-series data, and the change amount. A determination unit for determining an abnormality related to the drainage of the washing machine is provided.

It is a figure which shows an example of the data processing system which concerns on embodiment of this invention. This is an example of a processing flow for determining an abnormality related to the drainage of a washing machine executed in a data processing system. This is an example of the data structure of the speed table. It is a graph which shows the time series data about the drainage rate. This is an example of the data structure of the external information table. This is an example of notification data. It is a figure which shows an example of the processing flow which determines the abnormality about water supply of a washing machine executed in a data processing system. This is an example of the processing flow for calculating the drainage time executed in the data processing system. This is an example of the processing flow for calculating the water supply time executed in the data processing system. This is an example of a processing flow that predicts the timing of drainage filter replacement executed in a data processing system.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the present specification and drawings, the same or equivalent elements may be designated by the same reference numerals to omit duplicate description, and elements not directly related to the present invention may be omitted from the illustration. Furthermore, the forms of the components shown in such embodiments are merely examples, and the present invention is not limited to these forms.

The data processing system 100 according to the embodiment of the present invention will be described with reference to FIGS. 1 to 10. FIG. 1 is a diagram showing an example of a data processing system 100.

As shown in FIG. 1, the data processing system 100 includes a washing machine 200, a server device 300, and a mobile terminal 400. The washing machine 200 is, for example, for washing clothes and the like. As an example, the server device 300 is a computer for determining an abnormality or the like of the washing machine 200 by using data acquired from the washing machine 200 or data acquired from the outside (hereinafter, also referred to as external information). The abnormality of the washing machine 200 refers to, for example, an abnormality related to water supply or drainage. As an example, the mobile terminal 400 is for displaying (notifying) various information (for example, data related to an abnormality of the washing machine 200) output from the server device 300.

The washing machine 200 includes a control unit 210, a storage unit 220, a communication unit 230, and a water level sensor 240. The control unit 210 includes, for example, a CPU (Central Processing Unit). The control unit 210 controls the washing machine 200 by reading and executing the program recorded in the storage unit 220.

The storage unit 220 is, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), or the like, and records a program executed by the control unit 210, various parameters used by the control unit 210, and the like.

The communication unit 230 is an interface for connecting to a network and communicating. The communication unit 230 controls communication with the server device 300 provided apart from the washing machine 200.

The water level sensor 240 is for detecting the water level in the washing tub (not shown) of the washing machine 200. As an example, the water level sensor 240 detects the water level in the washing tub based on the pressure in the pressure detection tube (not shown) that changes according to the water level in the washing tub.

The control unit 210 includes a drainage speed calculation unit 211 and a water supply speed calculation unit 212. The drainage speed calculation unit 211 calculates the drainage speed based on the amount of change in the water level in the washing tub per unit time detected by the water level sensor 240. As an example, the drainage speed calculation unit 211 calculates the drainage speed for each operation of the washing machine 200. The water supply speed calculation unit 212 calculates the water supply speed based on the amount of change in the water level in the washing tub per unit time detected by the water level sensor 240. As an example, the water supply speed calculation unit 212 calculates the water supply speed for each operation of the washing machine 200.

The server device 300 includes a control unit 310, a storage unit 320, and a communication unit 330. The control unit 310 includes, for example, a CPU (Central Processing Unit). The control unit 310 controls the server device 300 by reading and executing the program stored in the storage unit 320.

The storage unit 320 is a non-transient recording medium capable of storing programs and data, and is, for example, a large-capacity non-volatile memory composed of an HDD.

The communication unit 330 is an interface for connecting to a network and communicating. As an example, the communication unit 330 controls communication with the washing machine 200 and the mobile terminal 400 provided separately from the server device 300.

The control unit 310 executes various processes according to the programs and data recorded in the storage unit 320. In the present embodiment, each functional block illustrated in FIG. 1 is realized by executing the program by the control unit 310. The control unit 310 is, for example, a drainage speed acquisition unit 311, a water supply speed acquisition unit 312, an external information acquisition unit 313, a change amount calculation unit 314, a determination unit 315, an extraction unit 316, an operation time calculation unit 317, and a replacement timing prediction unit 318. Functions as.

The drainage speed acquisition unit 311 acquires time-series data regarding the drainage speed of the washing machine 200. The water supply speed acquisition unit 312 acquires data regarding the water supply speed of the washing machine 200. The external information acquisition unit 313 acquires external information in a predetermined area where the washing machine 200 is installed. The change amount calculation unit 314 calculates the change amount of the time series data regarding the drainage speed of the washing machine 200. The determination unit 315 determines an abnormality related to the drainage of the washing machine 200 based on the amount of change in the time-series data regarding the drainage speed. The extraction unit 316 predicts a reference water supply speed (predicted water supply speed) from the time zone in which the washing machine 200 is operated. Further, the determination unit 315 compares the predicted water supply speed with the water supply speed acquired by the water supply speed acquisition unit 312, and determines an abnormality related to water supply of the washing machine 200. Further, when the determination unit 315 determines that the abnormality is related to the drainage or water supply of the washing machine 200, the determination unit 315 estimates (identifies) the cause of the abnormality based on the external information.

The operation time calculation unit 317 calculates the total operation time (washing time) based on, for example, the operation course, the process content (for example, the washing process, the rinsing process, the dehydration process, etc.), the amount of water, and the like. The operation time calculation unit 317 includes a drainage time calculation unit 317a for calculating the drainage time and a water supply time calculation unit 317b for calculating the water supply time. The drainage time calculation unit 317a calculates the drainage time based on the predicted drainage speed calculated from the time series data regarding the drainage speed. The water supply time calculation unit 317b calculates the water supply time based on the predicted water supply speed predicted from the time zone in which the washing machine 200 is operated. The replacement timing prediction unit 318 predicts the replacement timing based on a predetermined threshold value of the drainage rate preset as the replacement timing of the drainage filter of the washing machine 200 and the amount of change in the time series data regarding the drainage rate. ..

An example of a processing flow for determining an abnormality related to drainage of the washing machine 200 executed by the data processing system 100 will be described with reference to FIG.

The drainage speed acquisition unit 311 acquires time series data D1 regarding the drainage speed (S201). In S201, the drainage speed acquisition unit 311 acquires data on the drainage speed from the washing machine 200 via the communication unit 330 each time the washing machine 200 is operated, for example. The drainage speed acquisition unit 311 sets the date, time zone, and drainage speed of the washing machine 200 as data related to the drainage speed to identify the washing machine 200 (for example, the model of the washing machine 200, ID, etc.). ) And get it. The drainage speed acquisition unit 311 sequentially records the acquired data on the drainage speed in the storage unit 320. In the present embodiment, the data relating to the plurality of drainage speeds recorded in the storage unit 320 is the time series data D1 relating to the drainage speed.

As shown in FIG. 3, the data regarding the drainage rate is recorded in the speed table 321 in the storage unit 320. Data on a plurality of drainage velocities are recorded in time series in the velocity table 321.

The drainage speed acquisition unit 311 acquires data on the drainage speed from the washing machine 200 each time the washing machine 200 is operated, but the data is not limited to this, and the washing machine 200 is not limited to this, for example, at an arbitrary timing. The time-series data D1 related to the drainage speed detected in the washing machine 200 may be collectively acquired, or the time-series data D1 related to the drainage speed detected in the washing machine 200 may be collectively acquired at predetermined time intervals. good.

Further, the drainage speed acquisition unit 311 acquires the drainage speed calculated for each operation of the washing machine 200, but the drainage speed is not limited to this, and for example, the drainage speed calculated for each process may be acquired. , The drainage rate calculated at predetermined time intervals may be obtained.

The change amount calculation unit 314 calculates the change amount of the time series data D1 regarding the drainage rate (S202). As an example, the amount of change in the time-series data D1 refers to the amount of change in the drainage speed that changes with each operation of the washing machine 200. FIG. 4 is a graph in which the horizontal axis is the number of operations (number of washings) and the vertical axis is the drainage speed. As shown in FIG. 4, the change amount calculation unit 314 extracts, for example, the drainage speeds of two consecutive operations from the time series data D1 and calculates the change amount α of the two consecutive drainage speeds extracted. do.

The change amount calculation unit 314 calculates the change amount that changes with each operation of the washing machine 200, but the change amount is not limited to this, and for example, the change amount is changed while the washing machine 200 is operated a predetermined number of times. The amount of change in one operation may be calculated from the average value of the amount of change.

Further, the change amount calculation unit 314 uses the change amount of the drainage speed based on the number of operations of the washing machine 200 as the change amount of the time series data D1, but the drainage speed of the washing machine 200 is not limited to this. The amount of change in the drainage rate based on the lowering factor of the washing machine 200 may be used, and for example, the amount of change in the drainage rate based on the operating time of the washing machine 200 may be used. In this case, the drainage speed acquisition unit 311 acquires the drainage speed and the operation time in association with each other.

The determination unit 315 determines an abnormality related to the drainage of the washing machine 200 based on the change amount α of the time series data D1 regarding the drainage speed. The determination unit 315 determines whether or not the amount of change α is outside the predetermined range (S203). When the determination unit 315 determines that the change amount α is out of the predetermined range (S203: YES), the determination unit 315 determines that the change amount α is an abnormality related to the drainage of the washing machine 200 (S204). When the determination unit 315 determines that the amount of change α is within a predetermined range (S203: NO), the determination unit 315 determines that there is no abnormality related to the drainage of the washing machine 200, and ends the processing flow.

In the present embodiment, the predetermined range is the amount of change α set in advance based on the variation in the value of the drainage speed that decreases according to the number of operations (or the operation time) in the normal use of the washing machine 200. It is an acceptable range. Normal use refers to the washing machine 200 performing standard operation in the absence of drainage abnormalities (eg, drainage filter or drainage path abnormalities). Although a predetermined range is used as the predetermined range, the range is not limited to this, and for example, it is set based on the amount of change in the time series data D1 acquired during normal use of the washing machine 200. May be good.

Next, the external information acquisition unit 313 acquires external information in a predetermined area in which the washing machine 200 is installed via the communication unit 330 (S205). When the external information acquisition unit 313 determines an abnormality related to drainage, it acquires external information of a predetermined area in which the washing machine 200 is installed from, for example, another computer connected to the server device 300 via a network. The predetermined area where the washing machine 200 is installed is set based on, for example, the position information of the washing machine 200. The same area (city, ward, town, or village) as the area where the washing machine 200 is installed may be set as a predetermined area, or the inside of the building where the washing machine 200 is installed may be set as a predetermined area. The external information acquisition unit 313 acquires the external information in association with the identification information (for example, the ID of the washing machine 200) that identifies the washing machine 200. The external information acquisition unit 313 sequentially records the acquired data related to the external information in the storage unit 320.

As shown in FIG. 5, the data related to the external information is recorded in the external information table 322 in the storage unit 320. External information includes, for example, water source, trouble information of tap water route, disaster information, water quality information, temperature information and the like. The acquired external information is classified into information that may be related to the abnormality related to the drainage of the washing machine 200, information that may be related to the abnormality related to the water supply of the washing machine 200, and other information, and is recorded in the storage unit 320. .. For example, the air temperature information is classified into information that may be related to an abnormality related to the water supply of the washing machine 200, as there is a risk of freezing in the water supply path when the temperature is below a predetermined temperature. Further, for example, the water quality information is classified into information that may be related to an abnormality related to the water supply of the washing machine 200, as there is a possibility that the water supply filter may be clogged when the hardness is equal to or higher than a predetermined hardness. Further, when there is tap water route trouble information or disaster information, it is classified into information that may be related to abnormalities related to water supply and drainage of the washing machine 200.

Next, when the determination unit 315 determines an abnormality related to the drainage of the washing machine 200, the determination unit 315 estimates the cause of the abnormality based on the external information. Specifically, the determination unit 315 determines whether or not there is information that may be related to the abnormality related to the drainage of the washing machine 200 among the acquired external information (S206).

When the determination unit 315 determines that the acquired external information includes information that may be related to the abnormality related to the drainage of the washing machine 200 (S206: YES), the determination unit 315 estimates the external information as a factor of the abnormality related to the drainage of the washing machine 200. Then (S207), the process proceeds to S208. When the determination unit 315 determines that the acquired external information does not include information that may be related to the abnormality related to the drainage of the washing machine 200 (S206: NO), the determination unit 315 shifts to S208. As shown in FIG. 6, in S208, notification data 323 for notifying the user of data regarding the abnormality of the washing machine 200 is generated, and the notification data 323 is transmitted to the mobile terminal 400 via the communication unit 330. The process ends. In S208, when the cause of the abnormality is estimated, the notification data 323 is generated including the data related to the cause of the abnormality. Further, in S208, when a plurality of abnormal factors are estimated, notification data 323 is generated including data related to the plurality of abnormal factors. Further, the notification data 323 is transmitted to the mobile terminal 400, but the present invention is not limited to this, and for example, the notification data 323 may be transmitted to the washing machine 200.

An example of a processing flow for determining an abnormality related to water supply of the washing machine 200 executed by the data processing system 100 will be described with reference to FIG. 7.

The water supply speed acquisition unit 312 acquires data on the water supply speed (S701). In S701, the water supply speed acquisition unit 312 acquires data on the water supply speed from the washing machine 200 via the communication unit 330 each time the washing machine 200 is operated, for example. As data related to the water supply speed, the water supply speed acquisition unit 312 sets the date, time zone, and water supply speed at which the washing machine 200 was operated as identification information for identifying the washing machine 200 (for example, the model of the washing machine 200, ID, etc.). ) And get it. The water supply speed acquisition unit 312 sequentially records the acquired data regarding the water supply speed in the storage unit 320. In the present embodiment, the data relating to the plurality of water supply speeds recorded in the storage unit 320 is the time series data D1 relating to the water supply speed.

As shown in FIG. 3, the data regarding the water supply speed is recorded in the speed table 321 in the storage unit 320. In the speed table 321 as an example, data regarding the water supply speed is recorded in chronological order.

The extraction unit 316 predicts a reference water supply speed (predicted water supply speed) from the time zone in which the washing machine 200 is operated. Specifically, the extraction unit 316 extracts the water supply speed belonging to the same time zone as the target water supply speed time zone as the predicted water supply speed from the data recorded in the storage unit 320 (S702). In S702, it is assumed that the storage unit 320 records data on the water supply speed corresponding to each time zone acquired in advance by the water supply speed acquisition unit 312.

For example, when the target water supply speed is 9:00 am, the water supply speed at 9:00 am on the day of the previous operation is extracted from the storage unit 320 as the predicted water supply speed. Here, the time of the target water supply speed and the water supply speed acquired at the same time are extracted as the predicted water supply speed, but the present invention is not limited to this, and a predetermined time zone including the time of the target water supply speed is included. And, the water supply speed acquired in the same time zone may be extracted as the predicted water supply speed. Further, when the storage unit 320 has a plurality of water supply speeds belonging to the same time zone as the target water supply speed time zone, the reference water supply speed is predicted based on the variation of the values of the plurality of water supply speeds. It is desirable to set it as the water supply speed. When there are a plurality of water supply speeds belonging to the same time zone, for example, the average value of the plurality of water supply speeds may be set as the predicted water supply speed.

The determination unit 315 compares the target water supply speed with the predicted water supply speed, and determines an abnormality related to the water supply of the washing machine 200. The determination unit 315 calculates the difference between the target water supply speed and the predicted water supply speed (S703). The determination unit 315 determines whether or not the calculated difference exceeds a predetermined threshold value (S704). When the determination unit 315 determines that the difference exceeds a predetermined threshold value (S704: YES), the determination unit 315 determines that the difference is an abnormality related to the water supply of the washing machine 200 (S705). When the determination unit 315 determines that the difference does not exceed a predetermined threshold value (S704: NO), it is determined that there is no abnormality related to the water supply of the washing machine 200, and the process ends.

In the present embodiment, the predetermined threshold value is the target water supply speed set in advance based on the variation of the values of the plurality of water supply speeds acquired in the same time zone in the normal use of the washing machine 200. , The permissible value of the difference from the predicted water supply rate. Normal use refers to the washing machine 200 performing standard operation in the absence of any water supply anomalies (eg, water supply path anomalies).

Next, the external information acquisition unit 313 acquires the external information of the predetermined area in which the washing machine 200 is installed via the communication unit 330 (S706). Here, since the processing is the same as that of S205, the description thereof will be omitted.

Next, when the determination unit 315 determines an abnormality related to the water supply of the washing machine 200, the determination unit 315 estimates the cause of the abnormality based on the external information. Specifically, the determination unit 315 determines whether or not the acquired external information includes information that may be related to an abnormality related to the water supply of the washing machine 200 (S707).

When the determination unit 315 determines that the acquired external information includes information that may be related to the abnormality related to the water supply of the washing machine 200 (S707: YES), the determination unit 315 estimates the external information as a factor of the abnormality related to the water supply of the washing machine 200. (S708), and shift to S709. When the determination unit 315 determines that the acquired external information does not include information that may be related to the abnormality related to the water supply of the washing machine 200 (S707: NO), the determination unit 315 shifts to S709. As shown in FIG. 6, in S709, notification data 323 for notifying the user of data regarding the abnormality of the washing machine 200 is generated, and the notification data 323 is transmitted to the mobile terminal 400 via the communication unit 330. The process ends. In S709, when the cause of the abnormality is estimated, the notification data 323 is generated including the data related to the cause of the abnormality. Further, in S709, when a plurality of abnormal factors are estimated, notification data 323 is generated including data related to the plurality of abnormal factors. Further, the notification data 323 is transmitted to the mobile terminal 400, but the present invention is not limited to this, and for example, the notification data 323 may be transmitted to the washing machine 200.

The external information may include information acquired by another washing machine. The information acquired by the other washing machine is, for example, time-series data regarding the drainage speed of the other washing machine or time-series data regarding the water supply speed of the other washing machine. In this case, for example, the water supply speed acquired by another washing machine may be extracted as the predicted water supply speed of the target washing machine 200. More specifically, from the position information (for example, address information) of each washing machine in a predetermined area, another washing machine that can have a water supply speed substantially the same as that of the target washing machine 200 is extracted, and the other washing machines are extracted. The water supply speed of the washing machine can be used as the predicted water supply speed.

Further, another washing machine that is close to the water supply speed of the target washing machine 200 is extracted from the position information (for example, address information) of each washing machine in the predetermined area, and the water supply speed of the other washing machine is used. The water supply speed of the target washing machine 200 may be predicted. More specifically, for example, the target washing machine 200 and other washing machines installed on different floors in the same building are extracted, and the target is selected from the water supply speed of the other washing machines based on the difference in floors. The water supply speed of the washing machine 200 may be predicted.

The determination unit 315 compares the target water supply speed with the predicted water supply speed to determine an abnormality related to the water supply of the washing machine 200, but the present invention is not limited to this. For example, when there is a concern that the water supply speed may decrease due to clogging of the water supply filter, for example, when using hard water or when using bath water via a bath water pump (not shown). , The determination unit 315 may determine an abnormality regarding the water supply of the washing machine 200 based on the amount of change in the time-series data D1 regarding the water supply speed. In this case, since it is the same as the processing flow for determining the abnormality related to the drainage of the washing machine 200, the description thereof will be omitted.

An example of a processing flow for calculating the drainage time executed by the data processing system 100 will be described with reference to FIG. Of the processing flows for calculating the drainage time, the processing flows from S801 to S802 are the same as the processing flows from S201 to S202 of the processing flow for determining the abnormality related to the drainage of the washing machine 200 shown in FIG. , The description is omitted.

When the change amount calculation unit 314 calculates the change amount of the drainage speed that changes with each operation of the washing machine 200, the operation time calculation unit 317 (discharge time calculation unit 317a) is based on the change amount. , Calculate the predicted drainage rate (S803).

Next, the operation time calculation unit 317 (drainage time calculation unit 317a) calculates (corrects) the drainage time using the calculated predicted drainage speed (S804). In S804, for example, in each process according to the operation course, the drainage time predetermined from the amount of water or the like is corrected to the drainage time calculated by using the predicted drainage speed. As a result, the accuracy of the operating time of the washing machine 200 can be further improved.

An example of a processing flow for calculating the water supply time executed by the data processing system 100 will be described with reference to FIG. Of the processing flows for calculating the water supply time, the processing flows from S901 to S902 are the same as the processing flows from S701 to S702 of the processing flow for determining an abnormality related to water supply of the washing machine 200 shown in FIG. , The description is omitted.

When the extraction unit 316 extracts the predicted water supply speed, the operation time calculation unit 317 (water supply time calculation unit 317b) calculates (corrects) the water supply time using the predicted water supply speed (S903). In S903, for example, in each process according to the operation course, the water supply time predetermined from the amount of water or the like is corrected to the water supply time calculated by the predicted water supply speed. As a result, the accuracy of the operating time of the washing machine 200 can be further improved.

In the above configuration, the accurate operating time can be calculated by calculating the operating time using the predicted drainage time and the predicted water supply time. Further, as shown in FIG. 6, data relating to the operating time of the washing machine 200 may be included in the notification data 323, and the notification data 323 may be transmitted to the washing machine 200 or the mobile terminal 400 via the communication unit 330.

The predicted drainage rate and the predicted water supply rate are used for calculating the drainage time and the water supply time, respectively, but the method is not limited to this, and for example, the drainage rate and the water supply rate are acquired for each process of the washing machine 200 or at any time. If it is configured, the drainage time and the water supply time may be corrected by using the drainage speed and the water supply speed acquired in real time, respectively.

An example of a processing flow for predicting the timing of replacement of the wastewater filter executed by the data processing system 100 will be described with reference to FIG. Among the processing flows for predicting the replacement timing of the drainage filter, the processing flows from S1001 to S1002 are the processing flows from S201 to S202 for determining the abnormality related to the drainage of the washing machine 200 shown in FIG. Since it is the same as the flow, the description will be omitted.

When the change amount calculation unit 314 calculates the change amount of the time series data D1 regarding the drainage speed of the washing machine 200, the replacement timing prediction unit 318 sets the drainage preset as the replacement timing of the drainage filter of the washing machine 200. The timing of exchange is predicted based on the predetermined threshold value T1 of speed (see FIG. 4) and the amount of change in the time series data D1 (S1003). In S1002, as the amount of change in the time-series data D1, the amount of change in the drainage speed that changes with each operation of the washing machine 200 is calculated. In S1003, the timing of replacing the drainage filter is predicted based on the number of operations. Specifically, the replacement timing is predicted from the difference between the current drainage speed and the predetermined threshold value T1 of the drainage speed set as the replacement timing, and the amount of change for each operation. Here, the replacement timing is represented by the remaining number of operations expected to reach a predetermined threshold value T1. The notification data 323 may include the remaining number of operations leading up to the replacement of the drainage filter. Further, as shown in FIG. 6, the clogging rate of the drainage filter may be included in the notification data 323. The clogging rate of the drainage filter is calculated based on the current drainage rate and the drainage rate predetermined threshold value T1 set as the replacement timing.

As an example, the control unit (control device) 310 of the server device 300 includes a drainage speed acquisition unit 311, a water supply speed acquisition unit 312, an external information acquisition unit 313, a change amount calculation unit 314, a determination unit 315, and an extraction unit 316. It functions as an operation time calculation unit 317 and a replacement timing prediction unit 318, but the present invention is not limited to this, and the control unit (control device) 210 of the washing machine 200 may have the above-mentioned functions or the portable terminal 400. The control unit (control device) of the above may have the above-mentioned function. Further, the processing of the control unit 310 of the server device 300 may be performed by a server such as on the cloud.

The present invention is not limited to the above embodiment, and various modifications are possible. For example, it can be replaced with a configuration that is substantially the same as the configuration shown in the above embodiment, a configuration that exhibits the same action and effect, or a configuration that can achieve the same purpose.

100 data processing system, 200 washing machine, 300 server device, 310 control unit, 311 drainage speed acquisition unit, 312 water supply speed acquisition unit, 313 external information acquisition unit, 314 change amount calculation unit, 315 judgment unit, 316 extraction unit, 317 Operation time calculation unit, 317a Drainage time calculation unit, 317b Water supply time calculation unit, 318 Replacement timing prediction unit, 400 Mobile terminal

Claims (8)

The drainage speed acquisition unit that acquires time-series data on the drainage speed of the washing machine,
The change amount calculation unit that calculates the change amount of the time series data,
A control device including a determination unit for determining an abnormality related to drainage of the washing machine based on the amount of change. The change amount calculation unit calculates two consecutive changes in the drainage rate from the time series data, and then calculates the change amount.
The control device according to claim 1, wherein the determination unit determines as the abnormality when the amount of change in the drainage rate deviates from a predetermined range. The control device according to claim 1 or 2, further comprising a drainage time calculation unit that calculates a drainage time based on a predicted drainage rate calculated from a change amount of the time series data. A replacement timing prediction unit that predicts the replacement timing based on a predetermined threshold value of the drainage rate preset as the replacement timing of the drainage filter of the washing machine and the amount of change in the time series data is further provided. , The control device according to any one of claims 1 to 3. Further provided with a water supply speed acquisition unit for acquiring data on the water supply speed of the washing machine.
The determination unit determines an abnormality related to water supply of the washing machine by comparing the predicted water supply speed predicted from the time zone in which the washing machine is operated and the water supply speed acquired by the water supply speed acquisition unit. The control device according to any one of claims 1 to 4. The control device according to claim 5, further comprising a water supply time calculation unit that calculates a water supply time based on the predicted water supply speed. Further provided with an external information acquisition unit for acquiring external information of a predetermined area in which the washing machine is installed.
The control device according to any one of claims 1 to 6, wherein the determination unit estimates the cause of the abnormality based on the external information when it determines that the abnormality is related to the drainage or water supply of the washing machine. .. The water supply speed acquisition unit that acquires data on the water supply speed of the washing machine,
A determination unit that determines an abnormality related to water supply of the washing machine by comparing the predicted water supply speed predicted from the time zone in which the washing machine is operated and the water supply speed acquired by the water supply speed acquisition unit. A control device equipped with.

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