CN116732763A - Method, device, electronic equipment and storage medium for predicting drying time consumption - Google Patents
Method, device, electronic equipment and storage medium for predicting drying time consumption Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 67
- 238000003860 storage Methods 0.000 title claims abstract description 20
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Classifications
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F58/00—Domestic laundry dryers
- D06F58/32—Control of operations performed in domestic laundry dryers
- D06F58/34—Control of operations performed in domestic laundry dryers characterised by the purpose or target of the control
- D06F58/46—Control of the operating time
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
- D06F2103/04—Quantity, e.g. weight or variation of weight
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
- D06F2103/06—Type or material
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/42—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers related to filters or pumps
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Control Of Washing Machine And Dryer (AREA)
Abstract
The application relates to the technical field of dryers, and discloses a method for predicting drying time consumption, which comprises the following steps: determining whether at least one laundry exists in the dryer; in the case that laundry exists in the dryer, drying time is predicted according to the moisture content of each laundry, the degree of congestion of the laundry, and the clogging program coefficient of the filter screen. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the congestion degree of the clothes and the blockage degree coefficient of the filter screen on the drying time consumption is also considered, so that the drying time consumption can be accurately predicted. The application also discloses a device for predicting drying time consumption, electronic equipment and a storage medium.
Description
Technical Field
The present application relates to the field of dryer technologies, and for example, to a method, an apparatus, an electronic device, and a storage medium for predicting drying time.
Background
The working principle of the clothes dryer is that clothes in the drum are turned over by rotating the drum, dry and cold air generated by a drying fan enters the dryer to be heated by a heater and then enters the rotating drum to evaporate moisture in the clothes in the rotating drum to become hot and humid air, and finally the hot and humid air is dehydrated and cooled after condensation of a condenser to become dry and cold air again to be sucked by the fan, and the hot and humid air is circulated in a reciprocating manner.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
the prior art determines the remaining drying time of the dryer, often based on the moisture content of the partial laundry in the portion of the rotating drum dryer where the laundry contacts the dryer sheet. The dryer sheets are typically a pair of conductive electrode sheets disposed at the dryer gate and when a wet laundry is overlapped on the pair of conductive electrode sheets, a predetermined circuit is turned on. The more damp the garment, the less resistive the preset circuit is, whereas the drier the garment is, the greater the resistance is, and even the non-conductive. Therefore, the remaining time displayed by most dryers is estimated by the dryer, and the resistance of the circuit monitored by the dryer sheet is properly adjusted. The clothes are possibly entangled into clusters in the drying process, so that the conditions of internal wet and external dry are caused, the external dry clothes are contacted with the drying judging sheet in the overturning process, the dryer judges that the clothes are about to be dried, and when the clustered clothes are unwound again, the drying residual time is suddenly increased. It can be seen that the prior art does not accurately determine the drying time.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the application and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a method, a device, electronic equipment and a storage medium for predicting drying time consumption, so that the drying time consumption of a dryer can be predicted more accurately.
In some embodiments, the method for predicting drying time consumption includes: determining whether at least one laundry exists in the dryer; in the case that laundry exists in the dryer, drying time is predicted according to the moisture content of each laundry, the degree of congestion of the laundry, and the clogging program coefficient of the filter screen.
In some embodiments, before predicting the drying time based on the moisture content of each laundry, the laundry congestion level, and the clogging program coefficient of the screen, further comprising: acquiring the dry weight of each piece of clothing; acquiring the water content of each piece of clothing; and calculating according to a first preset algorithm by utilizing the dry weight and the water content of each piece of clothes to obtain the water content of each piece of clothes.
In some embodiments, obtaining the moisture content of each garment includes: acquiring the material of each piece of clothing; acquiring a dehydration procedure through which each piece of clothing passes; matching operation is carried out in a first preset database by utilizing the material of each clothes and the dehydration procedure of each clothes, so as to obtain the water content of each clothes; the first database stores the corresponding relation among materials, dehydration programs and water content.
In some embodiments, before predicting the drying time based on the moisture content of each laundry, the laundry congestion level, and the clogging program coefficient of the screen, further comprising: matching volume coefficients corresponding to the materials of the clothes respectively in a preset second database; the total volume of the clothes in the dryer is obtained by multiplying the dry weight of each clothes by the corresponding volume coefficient and adding the multiplied dry weight of each clothes; and dividing the total volume of the clothes by a preset volume to obtain the degree of clothes crowding in the dryer.
In some embodiments, before predicting the drying time based on the moisture content of each laundry, the laundry congestion level, and the clogging program coefficient of the screen, further comprising: under the condition of controlling the operation of the empty cylinder of the dryer, acquiring the pressure difference at two sides of the filter screen; and matching a blockage degree coefficient corresponding to the pressure difference in a preset third database.
In some embodiments, predicting drying time based on the moisture content of each laundry, the laundry congestion level, and the clogging level factor of the screen, includes: acquiring initial drying time consumption according to each water content; and correcting the initial drying time by using the clothes crowding degree and the blockage degree coefficient to obtain the drying time.
In some embodiments, correcting the initial drying time using the laundry crowding degree and the clogging degree coefficient of the filter screen includes: matching a drying efficiency coefficient corresponding to the crowded degree of the clothes in a preset fourth database; and calculating according to a second preset algorithm by using the drying efficiency coefficient, the blocking degree coefficient of the filter screen and the initial drying time consumption to obtain the drying time consumption.
In some embodiments, the apparatus for predicting drying time consumption includes: a determining module configured to determine whether at least one laundry exists in the dryer; the prediction module is configured to obtain predicted drying time according to the water content of each clothes, the clothes crowding degree and the blockage degree coefficient of the filter screen under the condition that at least one piece of clothes exists in the dryer.
In some embodiments, the electronic device includes a processor and a memory storing program instructions, the processor being configured to perform the above-described method for predicting drying time consumption when executing the program instructions.
In some embodiments, the storage medium stores program instructions that, when executed, perform the method for predicting drying time consumption described above.
The method, the device, the electronic equipment and the storage medium for predicting drying time consumption provided by the embodiment of the disclosure can realize the following technical effects: the drying time is predicted according to the water content of each clothes, the clothes crowding degree and the blockage degree coefficient under the condition that at least one piece of clothes exists in the dryer. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the congestion degree of the clothes and the blockage degree coefficient of the filter screen on the drying time consumption is also considered, so that the drying time consumption can be accurately predicted.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a schematic illustration of a method for predicting drying time consumption provided by an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of another method for predicting drying time consumption provided by an embodiment of the present disclosure;
FIG. 3 is a schematic illustration of another method for predicting drying time consumption provided by an embodiment of the present disclosure;
FIG. 4 is a schematic illustration of another method for predicting drying time consumption provided by an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of an apparatus for predicting drying time consumption provided by an embodiment of the present disclosure;
fig. 6 is a schematic diagram of an electronic device provided by an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
The term "corresponding" may refer to an association or binding relationship, and the correspondence between a and B refers to an association or binding relationship between a and B.
The scheme is applied to the dryer. The dryer includes, but is not limited to, heat pump dryers, condensing dryers, washing and drying all-in-one and other product types. The prior art generally estimates the drying time of a dryer based on the humidity of the portion of the laundry that is locally in contact with the dryer sheet. But the drying time is also closely related to the water content of the clothes in the dryer, the type of the clothes and the blockage degree coefficient of the filter screen. For example, in the case where the laundry is less in the dryer, that is, in the case where the laundry is crowded less, hot air blown out of the dryer may sweep the laundry, resulting in difficulty in drying the laundry. In the case of more clothes in the dryer, that is, in the case of a high degree of crowding of clothes, many clothes may not be contacted with hot air, which also results in an increase in drying time. In addition, the blockage degree coefficient of the filter screen can influence the drainage efficiency of the dryer, and under the condition that the filter screen is blocked, the water vapor drainage speed in the dryer can be influenced, so that part of water vapor stays in the dryer, and the drying time consumption of clothes is influenced. In order to accurately predict the drying time consumption of clothes, the embodiment of the disclosure obtains the predicted drying time consumption according to the water content of each clothes, the clothes crowding degree and the blocking degree of the filter screen, so that the influence of the water content of the clothes on the drying time consumption is considered, the influence of the clothes crowding degree and the blocking degree coefficient of the filter screen on the drying time consumption is also considered, and the drying time consumption can be accurately predicted.
Referring to fig. 1, an embodiment of the present disclosure provides a method for predicting drying time consumption, including:
in step S101, the electronic device determines whether at least one laundry exists in the dryer.
In step S102, in the case that clothes exist in the dryer, the electronic device predicts drying time according to the moisture content of each clothes, the degree of congestion of the clothes, and the coefficient of clogging of the filter screen.
By adopting the method for predicting the drying time consumption provided by the embodiment of the disclosure, the drying time consumption is predicted according to the water content of each clothes, the clothes crowding degree and the blockage degree coefficient of the filter screen under the condition that the clothes exist in the dryer. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time consumption is also considered, so that the drying time consumption can be accurately predicted.
Optionally, before predicting the drying time based on the moisture content of each laundry, the laundry crowding degree and the clogging program coefficient of the filter screen, the method further comprises: and acquiring the dry weight of each piece of clothes and the water content of each piece of clothes. And calculating according to a first preset algorithm by utilizing the dry weight and the water content of each piece of clothes to obtain the water content of each piece of clothes.
Optionally, acquiring the water content of each laundry includes: and obtaining the material quality of each piece of clothes, and obtaining the dehydration procedure of each piece of clothes. Matching operation is carried out in a first preset database by utilizing the material of each clothes and the dehydration procedure of each clothes, so as to obtain the water content of each clothes; the first database stores the corresponding relation among materials, dehydration programs and water content. Because the materials of the respective laundry are different, the water content of the respective laundry is different even though the passing dehydration process is the same. The water content of each clothes can be obtained more accurately by obtaining the water content of each clothes according to the material of each clothes and the dehydration procedure of each clothes.
Optionally, the laundry drying weight is obtained by using the running parameters of the washing machine motor in the weighing program.
Optionally, the material information of the clothing is obtained by using a program manually selected by the user or an input material.
Optionally, an RFID reader/writer (radio frequency identification) is used to read the RFID tag of each garment, so as to obtain the dry weight of each garment and the material of each garment. Wherein the weight of the dried clothes is the self weight of the clothes.
Optionally, the step of obtaining a dehydration procedure through which each laundry passes includes: and sending an operation program instruction to the washing machine, and triggering the washing machine to feed back the dewatering program which is operated last time. Wherein the dehydration procedure comprises a dehydration rotation speed and a dehydration time.
The washing machine and the dryer can communicate directly or indirectly through a communication protocol, and share the operation parameter information.
Optionally, calculating, according to a first preset algorithm, the water content of each laundry by using the dry weight and the water content of each laundry, including: the water content of each laundry is obtained by multiplying the dry weight of each laundry by the water content of each laundry.
Optionally, before predicting the drying time based on the moisture content of each laundry, the laundry crowding degree and the clogging program coefficient of the filter screen, the method further comprises: and matching volume coefficients corresponding to the materials of the clothes respectively in a preset second database, multiplying the corresponding volume coefficients by the weight of the clothes to be dried, and adding to obtain the total volume of the clothes in the dryer. And dividing the total volume of the clothes by a preset volume to obtain the degree of clothes crowding in the dryer. The volume coefficients corresponding to the material clothes are used for representing the volume of the material clothes in unit weight. For the same weight of clothing, if the materials are different, the volume of the clothing is also different. Similarly, the same material but different weight clothes, its volume size is also different. It can be seen that the volume of the laundry depends on the weight and the material of the laundry. Therefore, the volume of each laundry can be obtained by multiplying the dry weight of each laundry by the corresponding volume coefficient.
Alternatively, the preset volume is obtained by: and putting the first test clothes with the same materials and the same water content and different weights into a dryer for drying in batches, obtaining the drying time consumption corresponding to the first test clothes with each weight, determining the weight corresponding to the shortest drying time consumption as the optimal weight, multiplying the optimal weight by the volume coefficient corresponding to the first test clothes to obtain the optimal volume, and determining the optimal volume as the preset volume.
Optionally, the preset volume is a volume of the dryer.
Optionally, the degree of clogging of the screen is further illustrated by the following detailed description:
in a first alternative embodiment, obtaining a degree of clogging of a screen includes: under the condition of controlling the operation of the empty drum of the dryer, the pressure difference at the two sides of the filter screen is obtained. And matching a blockage degree coefficient corresponding to the pressure difference in a preset third database. Since the dryer has no laundry to influence the air flow under the condition of the empty drum operation, if the filter screen is blocked at this time, a pressure difference is generated at both sides of the filter screen, and the greater the blocking degree, the greater the pressure difference is. The clogging degree coefficient of the screen can be determined by the pressure difference across the screen.
In a second alternative embodiment, the filter screen is mounted on a plurality of retractable springs to obtain a clogging degree coefficient of the filter screen, comprising: under the condition of controlling the empty drum operation of the dryer, the descending amplitude of the filter screen is obtained. And matching a jam degree coefficient corresponding to the descending amplitude in a preset fifth database. Because the dryer is under the condition of empty section of thick bamboo operation, does not have the clothing to influence the air flow, if the filter screen is stopped up this moment, will lead to the filter screen both sides to produce pressure differential, again because the filter screen erects on telescopic spring, at this moment, the spring will produce the compression because of pressure to lead to the filter screen to descend. And the greater the degree of clogging, the greater the extent of the drop in the screen. The clogging degree coefficient of the screen can be determined by the descending amplitude of the screen. Wherein, under the condition that the filter screen is not blocked, the blocking degree coefficient is 1. And the blockage level coefficient increases with the increase of the blockage level of the filter screen.
Further, the blockage degree coefficient is obtained before the clothes to be dried are put into the dryer.
Optionally, predicting drying time based on the moisture content of each laundry, the laundry congestion degree and the clogging degree coefficient includes: and acquiring initial drying time consumption according to each water content, and correcting the initial drying time consumption by utilizing the clothes crowding degree and the blockage degree coefficient to acquire more accurate drying time consumption.
Further, the initial drying time taken for each moisture content is further described by the following detailed description:
in a first alternative embodiment, obtaining initial dry time based on each moisture content includes: and dividing the water content of each clothes by a preset reference water amount to obtain the multiple of the water content of each clothes relative to the reference water amount. Multiplying the water content of each clothes by the multiple of the reference water amount by the preset time and the drying multiple corresponding to each material clothes respectively to obtain estimated drying time consumption corresponding to each material clothes respectively, and determining the sum of the estimated drying time consumption as initial drying time consumption.
In a second alternative embodiment, the initial drying time is obtained according to each moisture content, including: and dividing the water content of each clothes by a preset reference water amount to obtain the multiple of the water content of each clothes relative to the reference water amount. Multiplying the water content of each clothes by the multiple of the reference water amount by the preset time and the drying multiple corresponding to each material clothes respectively to obtain estimated drying time consumption corresponding to each material clothes respectively, and determining the maximum estimated drying time consumption as initial drying time consumption.
Further, the preset time is obtained by: and determining the drying time consumption of the second test clothes as a preset time. Wherein the water content of the second test laundry is a reference water amount, for example: 2 kg. The water content of the second test laundry is a preset standard water content, for example: 80%. The material of the second test clothing is a preset standard material, for example: cotton. And, the drying time of the second test laundry is time taken for the second test laundry to be thoroughly dried by the dryer.
Further, the drying times corresponding to the clothes made of the materials are obtained in the following mode: dividing the drying time consumption of the third test clothes made of different materials by the preset time to obtain the corresponding drying times of the clothes made of different materials. The water content of the third test clothes is the reference water content, and the water content of the third test clothes is the preset water content. The material of the third test clothing is, for example, hemp, silk, chemical fiber or woolen cloth.
Optionally, correcting the initial drying time using the laundry crowding degree and the blocking degree includes: and matching a drying efficiency coefficient corresponding to the clothes crowding degree in a preset fourth database, and calculating by using the drying efficiency coefficient, the filter screen blocking degree coefficient and the initial drying time according to a second preset algorithm to obtain the drying time. This enables a more accurate prediction of drying time.
Further, the optimal crowding degree is obtained by dividing the optimal volume by the preset volume. In the case where the degree of congestion of the laundry is the optimal degree of congestion, the drying efficiency coefficient corresponding to the degree of congestion of the laundry is the minimum drying efficiency coefficient, for example: 1. the larger the absolute value of the difference between the clothes crowding degree and the optimal crowding degree is, the larger the drying efficiency coefficient corresponding to the clothes crowding degree is, which represents that the clothes are more difficult to dry.
Optionally, the calculating according to a second preset algorithm by using the drying efficiency coefficient, the filter screen blockage degree coefficient and the initial drying time consumption to obtain the drying time consumption includes: and determining the product among the drying efficiency coefficient, the filter screen blockage degree coefficient and the initial drying as the time consuming time of drying.
Optionally, after predicting the drying time based on the water content of each laundry, the laundry crowding degree and the filter screen blocking degree, the method further comprises: and sending the difference between the predicted drying time and the current running time of the dryer to a display module through a main control module of the dryer, and triggering the display module to display the residual drying time.
In some embodiments, the master control module of the dryer determines a difference between the predicted drying time and the current already-running time of the dryer as the remaining drying time of the dryer.
As shown in conjunction with fig. 2, an embodiment of the present disclosure provides a method for predicting drying time consumption, comprising:
in step S201, the electronic device determines whether at least one laundry exists in the dryer.
In step S202, in the case that at least one laundry exists in the dryer, the electronic device obtains the water content of each laundry, the clogging degree coefficient of the filter screen, and the laundry crowding degree.
In step S203, the electronic device predicts drying time according to the moisture content of each laundry, the laundry crowding degree and the blockage degree coefficient.
By adopting the method for predicting drying time consumption, provided by the embodiment of the disclosure, the water content of each clothes, the degree of clothes crowding in the dryer and the degree of blockage of the filter screen are obtained. And predicting the drying time consumption according to the water content of each clothes, the clothes crowding degree and the filter screen blocking degree. Therefore, the influence of the water content of clothes on the drying time is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time is also considered, so that the drying time can be accurately predicted. And the main control module of the dryer calculates and sends the residual drying time to the display panel for display, so that a user can know more accurate residual operation time.
Referring to fig. 3, an embodiment of the present disclosure provides a method for predicting drying time consumption, including:
in step S301, the electronic device obtains the water content of each laundry, the clogging degree coefficient of the filter screen, and the laundry crowding degree.
In step S302, the electronic device determines whether at least one laundry exists in the dryer.
In step S303, in the case that at least one laundry exists in the dryer, the electronic device predicts drying time according to the moisture content of each laundry, the laundry congestion degree and the clogging degree coefficient.
In step S304, the electronic device sends the difference between the predicted drying time and the current running time of the dryer to the display panel of the dryer, and triggers the display panel to display the remaining drying time.
By adopting the method for predicting drying time consumption, provided by the embodiment of the disclosure, the water content of each clothes, the degree of clothes crowding in the dryer and the degree of blockage of the filter screen are obtained. And predicting the drying time consumption according to the water content of each clothes, the clothes crowding degree and the filter screen blocking degree. Therefore, the influence of the water content of clothes on the drying time is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time is also considered, so that the drying time can be accurately predicted. And the main control module of the dryer calculates and sends the residual drying time to the display panel for display, so that a user can know more accurate residual operation time.
Obviously, the remaining drying time period displayed by the display panel decreases with the increase of the actual drying time period, and in the case where the actual drying time period is equal to the predicted drying time period, the remaining drying time period displayed by the display panel is 0.
Optionally, after predicting the drying time based on the water content of each laundry, the laundry congestion degree and the clogging degree, the method further comprises: triggering the dryer to dry the clothes according to the time consumption of drying.
Referring to fig. 4, an embodiment of the present disclosure provides a method for predicting drying time consumption, including:
in step S401, the electronic device determines whether at least one laundry exists in the dryer.
In step S402, in the case that clothes exist in the dryer, the electronic device calculates by using the water content of each clothes, the degree of congestion of the clothes and the degree of clogging, and obtains predicted drying time.
In step S403, the electronic device triggers the dryer to dry the laundry according to the predicted drying time.
By adopting the method for predicting the drying time consumption provided by the embodiment of the disclosure, the drying time consumption is calculated according to the water content of each clothes, the clothes crowding degree and the filter screen blocking degree under the condition that at least one piece of clothes exists in the dryer. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time consumption is also considered, so that the time consumption time can be accurately predicted. Moreover, by triggering the dryer to dry the laundry in accordance with the drying time, the possibility that the laundry is not actually dried after the dryer dries the laundry in accordance with the drying time can be reduced.
In some embodiments, the dryer includes a main control module and the washing machine includes an RFID reader. Under the condition that the washing machine runs the dehydration program, the material of each piece of clothes and the weight of the dried clothes are sent to the main control module. The main control module controls the dryer to idle at the moment so as to acquire the blockage degree coefficient of the filter screen. After the washing machine finishes the operation of the dehydrating process, the user takes out the dehydrated laundry from the washing machine and puts the dehydrated laundry into the rotating drum of the dryer. The main control module matches the water content which corresponds to each material and the dehydration program in a preset first database. And then multiplying the water content of each clothes by the dry weight of each clothes to obtain the water content of each clothes. The main control module multiplies the ratio of the water content of each clothes to the reference water amount by the preset time and the corresponding drying times of each clothes to obtain the corresponding estimated drying time consumption of each clothes, and determines the sum of the estimated drying time consumption as the initial drying time consumption. Meanwhile, the main control module matches volume coefficients corresponding to all materials in a preset second database, then obtains the clothes volumes of all the clothes by multiplying the corresponding volume coefficients by the weight of all the clothes, and determines the sum of the clothes volumes as the total volume of the clothes. The ratio between the total volume of the laundry and the preset volume is determined as the degree of laundry crowding. And carrying out matching operation in a fourth database according to the clothes crowding degree to obtain a drying efficiency coefficient. And finally multiplying the drying efficiency coefficient, the filter screen blockage degree coefficient and the initial drying time by the main control module to obtain the drying time. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time consumption is also considered, so that the drying time consumption can be accurately predicted.
Referring to fig. 5, an embodiment of the present disclosure provides an apparatus 500 for predicting drying time consumption, including: a determination module 501 and a prediction module 502. The determining module 501 is configured to determine whether at least one laundry is present in the dryer. The prediction module 502 is configured to predict drying time based on a moisture content of each laundry, a laundry congestion level, and a clogging program coefficient of a screen in a case where at least one laundry exists in the dryer.
By adopting the device for predicting the drying time consumption, provided by the embodiment of the disclosure, the predicted drying time consumption is obtained according to the water content of each piece of clothes, the clothes crowding degree and the filter screen blocking degree under the condition that at least one piece of clothes exists in the dryer. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time consumption is also considered, so that the drying time consumption can be accurately predicted.
Optionally, the apparatus for predicting drying time consumption further includes a first acquisition module configured to acquire a drying weight of each laundry, and acquire a water content of each laundry. And calculating according to a first preset algorithm by utilizing the dry weight and the water content of each piece of clothes to obtain the water content of each piece of clothes.
Optionally, acquiring the water content of each laundry includes: and obtaining the material quality of each piece of clothes, and obtaining the dehydration procedure of each piece of clothes. Matching operation is carried out in a first preset database by utilizing the material of each clothes and the dehydration procedure of each clothes, so as to obtain the water content of each clothes; the first database stores the corresponding relation among materials, dehydration programs and water content.
Optionally, the device for predicting drying time consumption further includes a second obtaining module configured to match, in a preset second database, volume coefficients corresponding to the materials of the respective clothes, and multiply the dry weights of the respective clothes by the corresponding volume coefficients, and then add the volume coefficients to obtain the total volume of the clothes in the dryer. And dividing the total volume of the clothes by a preset volume, and obtaining the degree of clothes crowding in the dryer through formula conversion.
Optionally, the apparatus for predicting drying time consumption further includes a third acquisition module configured to acquire a pressure difference across the filter screen under control of the dryer canister operation. And matching a blockage degree coefficient corresponding to the pressure difference in a preset third database. Wherein, the dryer empty drum operation characterizes the operation of the drying fan. While the rotating drum may or may not rotate.
Optionally, the prediction module is configured to predict drying time based on the moisture content of each laundry, the laundry congestion level, and the screen blockage level by: and acquiring initial drying time consumption according to each water content, and correcting the initial drying time consumption by utilizing the clothes crowding degree and the filter screen blocking degree coefficient to obtain final drying time consumption.
Optionally, correcting the initial drying time using the laundry crowding degree and the blocking degree includes: and matching a drying efficiency coefficient corresponding to the clothes crowding degree in a preset fourth database, and calculating according to a second preset algorithm by using the drying efficiency coefficient, the filter screen blocking degree coefficient and the initial drying time consumption to obtain final drying time consumption.
As shown in connection with fig. 6, an embodiment of the present disclosure provides an electronic device 600 that includes a processor (processor) 601 and a memory (memory) 602. Optionally, the apparatus may further include a communication interface (communication interface) 603 and a bus 604. The processor 601, the communication interface 603, and the memory 602 may communicate with each other via the bus 604. The communication interface 603 may be used for information transfer. Processor 601 may invoke logic instructions in memory 602 to perform the method for predicting drying time consumption of the above-described embodiments.
According to the electronic equipment provided by the embodiment of the disclosure, under the condition that at least one piece of clothes exists in the dryer, predicted drying time consumption is obtained according to the water content of each piece of clothes, the clothes crowding degree and the filter screen blocking degree. Therefore, the influence of the water content of the clothes on the drying time consumption is considered, and the influence of the crowding degree of the clothes and the blocking degree of the filter screen on the drying time consumption is also considered, so that the drying time consumption can be accurately predicted.
In some embodiments, the electronic device is a device for issuing control instructions to control the dryer, such as a computer, a server, a main control module of the dryer, and the like.
Further, the logic instructions in the memory 602 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product.
The memory 602 is a computer readable storage medium that can be used to store a software program, a computer executable program, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. Processor 601 executes the program instructions/modules stored in memory 602 to perform functional applications and data processing, i.e., to implement the method for predicting drying time consumption of the above-described embodiments.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the terminal device, etc. In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory.
The embodiment of the disclosure provides a storage medium storing program instructions which, when executed, perform the method for predicting drying time consumption.
The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.
Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or a transitory storage medium.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in the present disclosure, the terms "comprises," "comprising," and/or variations thereof, mean that the recited features, integers, steps, operations, elements, and/or components are present, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A method for predicting drying time consumption, comprising:
determining whether at least one laundry exists in the dryer;
in the case that laundry exists in the dryer, drying time is predicted according to the moisture content of each laundry, the degree of congestion of the laundry, and the clogging program coefficient of the filter screen.
2. The method of claim 1, wherein before predicting the drying time based on the moisture content of each laundry, the laundry crowding degree, and the clogging program coefficient of the screen, further comprising:
acquiring the dry weight of each piece of clothing;
acquiring the water content of each piece of clothing;
and calculating according to a first preset algorithm by utilizing the dry weight and the water content of each piece of clothes to obtain the water content of each piece of clothes.
3. The method according to claim 2, wherein obtaining the water content of each laundry comprises:
acquiring the material of each piece of clothing;
acquiring a dehydration procedure through which each piece of clothing passes;
matching operation is carried out in a first preset database by utilizing the material of each clothes and the dehydration procedure of each clothes, so as to obtain the water content of each clothes; the first database stores the corresponding relation among materials, dehydration programs and water content.
4. The method of claim 3, further comprising, before predicting the drying time based on the moisture content of each laundry, the laundry congestion level, and the clogging program coefficient of the screen:
matching volume coefficients corresponding to the materials of the clothes respectively in a preset second database;
the total volume of the clothes in the dryer is obtained by multiplying the dry weight of each clothes by the corresponding volume coefficient and adding the multiplied dry weight of each clothes;
and dividing the total volume of the clothes by a preset volume to obtain the degree of clothes crowding in the dryer.
5. The method of claim 1, wherein before predicting the drying time based on the moisture content of each laundry, the laundry crowding degree, and the clogging program coefficient of the screen, further comprising:
under the condition of controlling the operation of the empty cylinder of the dryer, acquiring the pressure difference at two sides of the filter screen;
and matching a blockage degree coefficient corresponding to the pressure difference in a preset third database.
6. The method of claim 1, wherein predicting drying time based on the moisture content of each laundry, the laundry crowding degree, and the clogging degree coefficient of the screen, comprises:
acquiring initial drying time consumption according to each water content;
and correcting the initial drying time by using the clothes crowding degree and the blockage degree coefficient to obtain the drying time.
7. The method of claim 6, wherein correcting the initial drying time using the laundry crowding degree and the jam degree coefficient comprises:
matching a drying efficiency coefficient corresponding to the crowded degree of the clothes in a preset fourth database;
and calculating according to a second preset algorithm by using the drying efficiency coefficient, the blocking degree coefficient of the filter screen and the initial drying time consumption to obtain the drying time consumption.
8. An apparatus for predicting drying time consumption, comprising:
a determining module configured to determine whether at least one laundry exists in the dryer;
and a prediction module configured to predict drying time based on the water content of each laundry, the laundry crowding degree and the clogging program coefficient of the filter screen in case that at least one laundry exists in the dryer.
9. An electronic device comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method for predicting drying time consumption of any one of claims 1 to 7 when executing the program instructions.
10. A storage medium storing program instructions which, when executed, perform the method for predicting drying time consumption of any one of claims 1 to 7.
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