CN116240714A - Drying method, drying device, electronic equipment and storage medium - Google Patents
Drying method, drying device, electronic equipment and storage medium Download PDFInfo
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- 238000001035 drying Methods 0.000 title claims abstract description 190
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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
- D06F58/36—Control of operational steps, e.g. for optimisation or improvement of operational steps depending on the condition of the laundry
- D06F58/38—Control of operational steps, e.g. for optimisation or improvement of operational steps depending on the condition of the laundry of drying, e.g. to achieve the target humidity
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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
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
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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
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
- D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
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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
- 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
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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
- 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
- D06F2103/08—Humidity
- D06F2103/10—Humidity expressed as capacitance or resistance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
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Abstract
The invention discloses a drying method, a drying device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an electrical relative value curve of clothes to be dried in drying equipment; determining a reference electrical curve of the clothes to be dried based on the electrical relative value curve, the first preset time length and the second preset time length; determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and the drying parameter calculation method; and judging whether the clothes to be dried are dried or not based on the drying judging parameter curve. The invention determines a drying parameter curve for judging whether the dried clothes are dried according to an electrical relative value curve of the clothes to be dried in drying equipment, a first preset time length, a second preset time length and a combined drying parameter calculation method. The fluctuation of the drying parameter curve is small, the accuracy of drying can be improved, and secondly, the data volume of the drying parameter curve is smaller than the data volume of the electrical relative value curve, whether the clothes to be dried are dried or not is determined according to the drying parameter curve, the data operation volume is small, and the processing time is short.
Description
Technical Field
The invention relates to the technical field of intelligent home, in particular to a drying method, a drying device, electronic equipment and a storage medium.
Background
With the continuous improvement of the living standard of substances, the performance requirements of people on household appliances are also higher and higher, wherein the performance of the drying equipment is also deeply focused by the masses
Currently, when a household drying apparatus dries down, a down-catching material, etc., it generally uses a sensor to determine whether the laundry is dried. The sensor cannot judge whether clothes are dried according to the detected electrical absolute value under the influence of the detection circuit, and the judgment is needed according to the electrical relative value. In the clothes drying process, a large amount of electrical data can be generated, a relative value is determined according to an electrical absolute value, whether clothes are dried or not is determined based on the electrical relative value, the data operation amount is large, the processing time is long, the fluctuation of the relative value is large, and the problems of misjudgment and the like are easily caused.
Disclosure of Invention
The invention provides a drying method, a drying device, electronic equipment and a storage medium, which can improve the accuracy of drying judgment and reduce the judgment time of clothes states.
According to an aspect of the present invention, there is provided a drying method, the method comprising:
Acquiring an electrical relative value curve of clothes to be dried in drying equipment;
determining a reference electrical curve of the clothes to be dried based on the electrical relative value curve, the first preset time length and the second preset time length;
determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and the drying parameter calculation method;
and judging whether the clothes to be dried are dried or not based on the drying judging parameter curve.
Optionally, obtaining an electrical relative value curve of laundry to be dried in the drying apparatus includes: determining an electrical absolute value curve of clothes to be dried based on the sensor; determining a high envelope curve and a low envelope curve corresponding to the electrical absolute value curve; an electrical relative value curve is determined based on the high envelope curve and the low envelope curve.
Optionally, determining the reference electrical curve of the laundry to be dried based on the electrical relative value curve, the first preset duration and the second preset duration includes: determining a maximum electrical curve of the clothes to be dried based on the electrical relative value curve and the first preset time length; and determining a reference electrical curve of the clothes to be dried based on the maximum electrical curve and the second preset time length.
Optionally, determining the maximum electrical characteristic curve of the laundry to be dried based on the electrical relative value curve and the first preset time period includes: dividing the electrical relative value curve into a plurality of first sub-curves based on a first preset duration; determining the maximum electrical relative value of each first sub-curve respectively; and determining a maximum electrical property curve of the clothes to be dried based on the maximum electrical property relative values of all the first sub-curves.
Optionally, the second preset duration includes N sub-durations, where N is a positive integer.
Optionally, determining the reference electrical curve of the laundry to be dried based on the maximum electrical curve and the second preset time length includes: according to the sequence from the small sub-length to the large sub-length, determining a current intermediate curve of the clothes to be dried on the basis of a last intermediate curve of the clothes to be dried and an i sub-length in sequence, wherein i is more than or equal to 1 and less than or equal to N, and when i is more than or equal to 1, the last intermediate curve is a maximum electrical curve; the current middle curve determined when i=n is taken as the reference electrical curve.
Optionally, the ratio of the ith sub-duration to the ith-1 st sub-duration is k, the ratio of the 1 st sub-duration to the first preset duration is m, and k and m are integers greater than or equal to 3.
Optionally, determining the current middle curve of the laundry to be dried based on the last middle curve of the laundry to be dried and the ith sub-duration includes: dividing the last intermediate curve into a plurality of second sub-curves based on the ith sub-duration; sorting the electrical relative values included in each second sub-curve respectively, and determining the middle electrical value of each second sub-curve based on the sorting result and the selection rule, wherein when i=1, the number of the electrical relative values included in each second sub-curve is m, and when 1 is more than or equal to N, the number of the electrical relative values included in each second sub-curve is k; and determining a current middle curve of the clothes to be dried based on the middle electric values of all the second sub-curves.
Optionally, determining the drying parameter curve of the laundry to be dried based on the reference electrical curve and the drying parameter calculation method includes: and performing proportional integral operation on the reference electrical curve to determine a drying parameter curve of the clothes to be dried.
According to another aspect of the present invention, there is provided a drying apparatus, comprising:
the acquisition module is used for acquiring an electrical relative value curve of clothes to be dried in the drying equipment;
the determining module is used for determining a reference electrical characteristic curve of the clothes to be dried based on the electrical relative value curve, the first preset duration and the second preset duration;
the processing module is used for determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and the drying parameter calculation method;
and the drying judging module is used for judging whether the clothes to be dried are dried or not based on the drying judging parameter curve.
According to another aspect of the present invention, there is provided an electronic device including:
at least one processor; and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, so that the at least one processor can execute the drying method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a drying method according to any one of the embodiments of the present invention.
According to the technical scheme, an electrical relative value curve of clothes to be dried in the drying equipment is obtained; determining a reference electrical curve of the clothes to be dried based on the electrical relative value curve, the first preset time length and the second preset time length; determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and the drying parameter calculation method; and judging whether the clothes to be dried are dried or not based on the drying judging parameter curve. The method has the advantages that the electrical relative value curve of the clothes to be dried in the drying equipment can be processed according to the first preset time length and the second preset time length, the reference electrical curve of the clothes to be dried is determined, the drying parameter curve for judging whether the clothes to be dried is obtained on the basis of the reference electrical curve by combining the drying parameter calculation method, the fluctuation of the drying parameter curve is small, the accuracy of drying judgment can be improved, the data size of the drying parameter curve is far smaller than that of the electrical relative value curve, whether the clothes to be dried are dried is determined according to the drying parameter curve, the data operation amount is small, and the processing time is short. The method solves the problems that the relative value is determined according to the electrical absolute value of a large amount of electrical data generated in the clothes drying process, whether clothes are dried or not is determined based on the electrical relative value, the data operation amount is large, the processing time is long, the fluctuation of the relative value is large, and misjudgment is easy to cause.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a drying method according to a first embodiment;
fig. 2a is a schematic flow chart of a drying method according to a second embodiment;
FIG. 2b is a schematic diagram of an electrical relative value curve according to a second embodiment;
FIG. 2c is a schematic diagram of a maximum electrical curve according to the second embodiment;
FIG. 2d is a schematic diagram showing a comparison of a maximum electrical characteristic curve and a dry-out parameter curve according to the second embodiment;
fig. 3 is a schematic structural view of a drying device according to a third embodiment;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment.
Detailed Description
In order that the manner in which the invention may be better understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above 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 such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a schematic flow chart of a drying method provided in an embodiment, which is applicable to the situations of processing an electrical curve of a drying device, accurate drying judgment of clothes in the drying device, and the like, and the method can be implemented by the drying device provided by the invention, and the device can be implemented in a form of hardware and/or software, and in a specific embodiment, the device can be integrated in an electronic device. The following embodiment will be described taking the example of the integration of the apparatus in an electronic device, and referring to fig. 1, the method specifically includes the following steps:
s101, acquiring an electrical relative value curve of clothes to be dried in the drying equipment.
The drying degree of the clothes to be dried is related to the water content of the clothes to be dried, and whether the clothes to be dried are dried or not can be determined through the water content of the clothes to be dried.
The electrical relative value curve may be understood as an attribute curve of the laundry to be dried, and is used for representing the laundry moisture content of the laundry to be dried, where the electrical relative value curve includes a capacitance relative value curve, an electric field relative value curve, a wireless field relative value curve, and the like, which is not limited in this embodiment.
Specifically, a sensor for detecting the water content of the clothes to be dried is arranged in the drying equipment, and an electrical relative value curve of the clothes to be dried can be determined according to detection data of the sensor. Taking a capacitive sensor and a capacitance relative value curve as an example, the capacitive sensor can detect the capacitance value of a capacitor arranged between two polar plates of the drying equipment, a certain conversion relation exists between the capacitance value and the moisture content of clothes, and the moisture content of the clothes can be determined through the detected capacitance value and the conversion relation. However, when there is no laundry between the electrode plates, the capacitive sensor will also detect a capacitance value, that is, a capacitance value of the parasitic capacitance, which affects the accuracy of laundry drying, so that when laundry drying is performed, drying cannot be performed by the absolute value of the detected capacitance, and drying needs to be performed by the relative value of the capacitance. The electrical relative value curve in this embodiment can be understood as a curve which is obtained by processing the absolute value of the capacitor and can accurately represent the water content of the laundry to be dried.
The advantage of this arrangement is that a curve accurately representing the moisture content of the laundry to be dried can be obtained, and the interference caused by the interference device of the drying equipment to the laundry drying process is reduced.
S102, determining a reference electrical curve of the clothes to be dried based on the electrical relative value curve, the first preset time length and the second preset time length.
The water content of the clothes to be dried is dynamically changed in the process of drying the clothes to be dried by the drying equipment, and the sensor can acquire an electrical value corresponding to the water content of the clothes to be dried in real time. The sensor acquires a large number of electrical values during the laundry drying process. The electrical relative value curve is a curve formed by electrical relative values corresponding to the electrical values obtained by the sensor, and the data volume in the curve is still large, if the clothes are judged to be dry directly according to the electrical relative value curve of the clothes to be dried, the data operation amount of the processor is large, the processing time is long, the processing efficiency is low, and the waste of operation resources can be caused.
The first preset duration may be understood as a time parameter for simplifying the data amount in the electrical relative value curve, where the first preset duration includes 50 ms, 200 ms, 1 second, etc., and the specific duration may be set and adjusted according to the rotation speed of the drying device and the drying requirement, for example, the first preset duration is set to be the time required for one rotation of the drying drum of the drying device.
Specifically, the electrical property relative value curve is divided into a plurality of sub-electrical property relative value curves according to a first preset duration, the characteristic values in the sub-electrical property relative value curves are respectively determined, and the characteristic value curve for determining the reference electrical property curve of the clothes to be dried is formed according to the characteristic values in the sub-electrical property relative value curves. The characteristic value can represent each electrical property relative value in the sub-electrical property relative value curve, and the setting has the advantages that the data volume of the electrical property relative value can be reduced while the characteristic electrical property relative value is maintained, so that the data operation volume of a processor is reduced, and the drying judging time of clothes is shortened.
The characteristic value curve can be processed to obtain a reference electrical curve with less data quantity and the attribute information of the clothes, so that the performance of the drying judging system can be improved.
The second preset duration may be understood as a time parameter for simplifying the data amount in the characteristic value curve, specifically, the second preset duration is an integer multiple of the first preset duration, and the specific duration may be set and adjusted according to the rotation speed of the drying apparatus, the drying requirement, and the processing rule of the drying data, for example, the second preset duration is set to five times of the first preset duration, the second preset duration is set to eight times of the first preset duration, the second preset duration is set to nine times of the first preset duration, and the embodiment is not limited thereto.
Specifically, the simplification of the characteristic value curve is the same as the simplification of the electrical relative value curve. The characteristic value curves are divided into a plurality of sub-characteristic value curves according to a second preset duration, reference electrical values in the sub-characteristic value curves are respectively determined, and the reference electrical curves of the clothes to be dried are formed according to the reference electrical values in the sub-characteristic value curves. The reference electrical value is an electrical value capable of representing the characteristics of each electrical relative value in the sub-characteristic value curve.
The advantage of setting up like this is that reduce the data volume of electrical property relative value when keeping the moisture content information of clothing that waits to dry, reduces the data operand of treater, shortens the dry time of judgement of clothing.
S103, determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and the drying parameter calculation method.
The method for calculating the dry-judging parameter can be understood as a method for extracting characteristic information of each electrical relative value in the reference electrical curve, the method for calculating the dry-judging parameter comprises proportional integral operation, mean value operation and the like, and the characteristic information of each electrical relative value in the reference electrical curve can be understood as a dry-judging parameter value obtained by calculating each electrical relative value in the reference electrical curve.
For example, assuming that the dry-judging parameter calculating method is proportional integral operation, proportional integral operation is performed on each electrical relative value in the reference electrical curve, interference of factors such as environment and the like on each electrical relative value in the reference electrical curve is filtered, a plurality of dry-judging parameter values are obtained, and a normalized curve, namely the dry-judging parameter curve, is formed by the plurality of dry-judging parameter values.
The setting has the advantages that a drying parameter curve with smaller fluctuation amplitude can be obtained, whether the clothes to be dried are dried or not is judged based on the drying parameter curve, and the accuracy of drying judgment can be improved.
S104, judging whether the clothes to be dried are dried or not based on the drying judgment parameter curve.
Specifically, determining whether the laundry to be dried has been dried based on the drying parameter curve may be understood as determining whether the laundry to be dried has been dried based on the drying parameter value in the drying parameter curve and the drying condition of the laundry. The drying condition may be that a continuous preset number of drying parameter values are smaller than a drying threshold, and the preset number may be set and adjusted according to a specific drying requirement and drying judgment logic, which is not limited in this embodiment.
For example, assuming that the drying condition is that all of the consecutive 5 drying parameter values are smaller than the drying threshold, when the consecutive 5 drying parameter values smaller than the drying threshold appear in the drying parameter curve, the laundry to be dried is considered to have been dried, otherwise, the laundry to be dried is considered to have not been dried.
The advantage of drying the laundry is considered to be that the accuracy of drying the laundry can be improved and the erroneous judgment phenomenon caused by the fluctuation of the individual drying parameter values can be reduced only when the continuous preset number of drying parameter values in the drying parameter curve are smaller than the drying threshold of the laundry.
According to the technical scheme, an electrical relative value curve of clothes to be dried in the drying equipment is obtained; determining a reference electrical curve of the clothes to be dried based on the electrical relative value curve, the first preset time length and the second preset time length; determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and the drying parameter calculation method; and judging whether the clothes to be dried are dried or not based on the drying judging parameter curve. The method has the advantages that the electrical relative value curve of the clothes to be dried in the drying equipment can be processed according to the first preset time length and the second preset time length, the reference electrical curve of the clothes to be dried is determined, the drying parameter curve for judging whether the clothes to be dried is obtained on the basis of the reference electrical curve by combining the drying parameter calculation method, the fluctuation of the drying parameter curve is small, the accuracy of drying judgment can be improved, the data size of the drying parameter curve is far smaller than that of the electrical relative value curve, whether the clothes to be dried are dried is determined according to the drying parameter curve, the data operation amount is small, and the processing time is short. The method solves the problems that the relative value is determined according to the electrical absolute value of a large amount of electrical data generated in the clothes drying process, whether clothes are dried or not is determined based on the electrical relative value, the data operation amount is large, the processing time is long, the fluctuation of the relative value is large, and misjudgment is easy to cause.
Example two
Fig. 2a is a schematic flow chart of a drying method provided in the second embodiment, where the present embodiment is applicable to situations such as processing an electrical curve of a drying apparatus and accurate drying judgment of clothes in the drying apparatus, and the method may be performed by the drying apparatus provided in the present invention, and the apparatus may be implemented in a form of hardware and/or software, and in a specific embodiment, the apparatus may be integrated in an electronic device. The following embodiment will be described taking the example of the integration of the device in an electronic apparatus, referring to fig. 2a, the method specifically comprises the following steps:
s201, acquiring an electrical relative value curve of clothes to be dried in the drying equipment.
Specifically, the obtaining of the electrical relative value curve of the laundry to be dried in the drying apparatus may be understood as obtaining an attribute curve of the moisture content of the laundry to be dried in the drying apparatus, for example, a capacitance relative value curve, an electric field relative value curve, a wireless field absolute value curve, etc., and the specific attribute curve type may be determined according to the sensor type of the drying apparatus and the drying judgment processing logic, which is not limited in this embodiment.
In an embodiment, S201 may specifically include: determining an electrical absolute value curve of clothes to be dried based on the sensor; determining a high envelope curve and a low envelope curve corresponding to the electrical absolute value curve; an electrical relative value curve is determined based on the high envelope curve and the low envelope curve.
The electrical value of any detection time detected by the sensor can be understood as a fluctuation range, the high-envelope curve can be understood as a curve composed of the highest electrical value in the electrical value range, the low-envelope curve can be understood as a curve composed of the smallest electrical value in the electrical value range, and the electrical relative value curve can be understood as an electrical value curve corresponding to the clothes to be dried, which is determined by the relative change information of the high-envelope curve and the low-envelope curve.
Specifically, fig. 2b is a schematic diagram of an electrical relative value curve provided in the second embodiment, and it can be seen from the diagram that the electrical relative value changes, i.e. the water content of the laundry gradually decreases.
The advantage of setting like this is that can reduce parasitic device, stoving environment to the influence of electrical property value, confirm the electrical property relative value curve that can accurately express the water content change of clothing.
S202, determining a maximum electrical curve of the clothes to be dried based on the electrical relative value curve and the first preset time period.
The first preset duration may be understood as a time parameter for simplifying the data amount in the electrical relative value curve, where the first preset duration includes 50 ms, 200 ms, 1 second, and the like, and the specific duration may be set and adjusted according to the rotation speed and the drying requirement of the drying device, for example, the first preset duration is set to be a time required for one rotation of the drying drum of the drying device, which is not limited in this embodiment.
In an embodiment, S202 may specifically include: dividing the electrical relative value curve into a plurality of first sub-curves based on a first preset duration; determining the maximum electrical relative value of each first sub-curve respectively; and determining a maximum electrical property curve of the clothes to be dried based on the maximum electrical property relative values of all the first sub-curves.
For example, assuming that the first preset time period is a time (X seconds) required for one rotation of the drying drum of the drying apparatus, the electrical property relative value curve is divided into a plurality of sub-electrical property relative value curves based on the time period of X seconds, and then a maximum electrical property curve of the laundry to be dried is determined according to a maximum electrical property relative value in each sub-electrical property relative value curve. The maximum electrical property relative value in each sub-electrical property relative value curve represents the highest water content of the clothes to be dried in the preset time period, whether the clothes are dried or not is determined based on the highest water content, and the accuracy of the judging result is high, so that the maximum electrical property relative value in the sub-electrical property relative value curve can be understood as the characteristic value of the sub-electrical property relative value curve. Fig. 2c is a schematic diagram of a maximum electrical characteristic curve according to the second embodiment, and it can be seen from the figure that the data amount of the electrical characteristic curve is greatly reduced compared with that of the electrical characteristic curve, and the variation and fluctuation of the electrical characteristic are gradually clear.
The arrangement has the advantages of reducing the data volume of the electrical relative value, reducing the data operation volume of the processor and saving the operation resource of the processor.
S203, determining a reference electrical curve of the clothes to be dried based on the maximum electrical curve and the second preset time period.
The second preset duration may be understood as a time parameter for simplifying the data amount in the maximum electrical curve, specifically, the second preset duration is an integer multiple of the first preset duration, and the specific duration may be set and adjusted according to the rotation speed of the drying device, the drying requirement, and the processing rule of the drying data, for example, the second preset duration is five times of the first preset duration, the second preset duration is eight times of the first preset duration, the second preset duration is nine times of the first preset duration, and the embodiment is not limited thereto.
Optionally, the second preset duration includes N sub-durations, where N is a positive integer; determining a reference electrical characteristic of the laundry to be dried based on the maximum electrical characteristic and a second preset time length, including: according to the sequence from the small sub-length to the large sub-length, determining a current intermediate curve of the clothes to be dried according to the last intermediate curve and the ith sub-length of the clothes to be dried, wherein i is more than or equal to 1 and less than or equal to N, and when i is more than or equal to 1, the last intermediate curve is the maximum electrical curve; the current middle curve determined when i=n is taken as the reference electrical curve.
The size of N is related to the processing mode of the maximum electrical curve and the determination rule of the reference electrical curve. For example, if the curve obtained by performing the first processing on the maximum electrical curve based on the second preset duration can meet the judgment condition of the reference electrical curve, the size of N is 1, and if the curve obtained by performing the second processing on the maximum electrical curve based on the second preset duration can meet the judgment condition of the reference electrical curve, the size of N is Z.
For example, when N is 1, the maximum electrical curve is divided into a plurality of sub-maximum electrical curves based on the second preset duration, the reference electrical values in the sub-maximum electrical curves are respectively determined, and the reference electrical curves of the laundry to be dried are formed according to the reference electrical values in the sub-maximum electrical curves. When N is 2, sorting two sub-time periods in a second preset time period according to the sequence from smaller sub-time period to larger sub-time period, dividing the maximum electrical characteristic curve into a plurality of sub-maximum electrical characteristic curves based on the 1 st sub-time period, respectively determining reference electrical values in each sub-maximum electrical characteristic curve, forming a current middle curve of the clothes to be dried according to the reference electrical values in each sub-maximum electrical characteristic curve, dividing the current middle curve into a plurality of sub-current middle curves based on the 2 nd sub-time period, respectively determining reference electrical values in each sub-current middle curve, and forming a reference electrical characteristic curve of the clothes to be dried according to the reference electrical values in each sub-current middle curve. Similarly, when N is greater than 2, the sub-lengths are ordered in order from smaller to larger according to the sub-lengths, and then the current intermediate curve (1 is less than or equal to i < N) or the reference electrical period (i=n) of the clothes to be dried is determined based on the maximum electrical curve (i=1) or the last intermediate curve (1 is less than or equal to i is less than or equal to N) and the ith sub-length of the clothes to be dried. The specific determining process may be understood as determining a first intermediate curve of the laundry to be dried based on the maximum electrical curve and the 1 st sub-time period, determining a second intermediate curve of the laundry to be dried based on the first intermediate curve and the 2 nd sub-time period, and repeatedly performing the determining step of the intermediate curve until the reference electrical curve of the laundry to be dried is determined based on the N-1 st intermediate curve and the N-th sub-time period of the laundry to be dried.
Specifically, the ratio of the ith sub-duration to the (i-1) th sub-duration is k, the ratio of the (1) st sub-duration to the first preset duration is m, and k and m are integers greater than or equal to 3. It should be noted that the ratio of the ith sub-duration to the (i-1) th sub-duration may be the same or different, and the specific ratio may be set and adjusted according to the application and processing logic of the drying apparatus, and the embodiment is not limited thereto, assuming that the 2 nd sub-duration is 5 times the 1 st sub-duration, the 3 rd sub-duration may be 5 times the 2 nd sub-duration, and the 3 rd sub-duration may be 7 times the 2 nd sub-duration.
k. m is an integer greater than or equal to 3, so as to reduce interference of the maximum electrical value and the minimum electrical value in the maximum electrical curve (the previous current intermediate curve) when determining the current intermediate curve (the reference electrical curve). The problems that the maximum electrical value and the minimum electrical value generated under extreme conditions cause interference to the dry judging action, and the dry judgment is wrong or the dry judgment is not timely are avoided.
Further, determining the current middle curve of the laundry to be dried based on the last middle curve of the laundry to be dried and the ith sub-duration includes: dividing the last intermediate curve into a plurality of second sub-curves based on the ith sub-duration; sorting the electrical relative values included in each second sub-curve respectively, and determining the middle electrical value of each second sub-curve based on the sorting result and the selection rule, wherein when i=1, the number of the electrical relative values included in each second sub-curve is m, and when 1 is more than or equal to N, the number of the electrical relative values included in each second sub-curve is k; and determining a current middle curve of the clothes to be dried based on the middle electric values of all the second sub-curves.
Taking the second sub-curve as an example, the selection rule may be understood as a selection method of the characteristic electrical value in the second sub-curve, and the intermediate electrical value may be understood as the characteristic electrical value of the second sub-curve. Specifically, the purpose of ordering the electrical relative values included in each second sub-curve is to know the magnitude of each electrical value in the second sub-curve, so as to select the intermediate electrical value of the second sub-curve based on the selection rule. The intermediate electrical value can be understood as the characteristic parameter of the second sub-curve which filters out the interference factors.
For example, assuming that i is 1, the last intermediate curve is the maximum electrical curve, the 1 st sub-duration of the second preset duration is 5 times of the first preset duration, the selection rule is to select the next maximum electrical value as the intermediate electrical value, divide the maximum electrical curve into a plurality of sub-maximum electrical curves based on the 1 st sub-duration, respectively sort 5 electrical values in each sub-maximum electrical curve, select the next maximum electrical value in each sub-maximum electrical curve as the intermediate electrical value, and determine the first current intermediate curve of the laundry to be dried according to each intermediate electrical value.
Further, when N is 1, the first current middle curve is the reference electrical curve of the laundry to be dried. When N is greater than 1, the second current intermediate curve and the third current intermediate curve … … need to be continuously determined until i=n, and the nth current intermediate curve is determined to be the reference electrical curve.
S204, performing proportional integral operation on the reference electrical curve to determine a drying parameter curve of the clothes to be dried.
Specifically, the proportional integral operation can eliminate residual differences of the reference electrical curve, and the dry judgment parameter with small fluctuation amplitude and more accurate electrical value is obtained.
For example, fig. 2d is a schematic diagram of comparison between a maximum electrical curve and a dry-judging parameter curve according to the second embodiment, and it can be seen from the figure that, compared with the maximum electrical curve, the dry-judging parameter curve is a stable curve without clutter, the change amplitude of the dry-judging parameter curve is small, and the interference information is effectively filtered by the proportional integral operation, so that the accuracy of dry-judging can be improved.
S205, judging whether the clothes to be dried are dried or not based on the drying judgment parameter curve.
Specifically, determining whether the laundry to be dried has been dried based on the drying parameter curve may be understood as determining whether the laundry to be dried has been dried based on each drying parameter value in the drying parameter curve and the drying condition of the laundry.
For example, assuming that the drying condition is that all of the consecutive 5 drying parameter values are smaller than the drying threshold, when the consecutive 5 drying parameter values smaller than the drying threshold appear in the drying parameter curve, the laundry to be dried is considered to have been dried, otherwise, the laundry to be dried is considered to have not been dried.
According to the technical scheme, an electrical relative value curve of clothes to be dried in the drying equipment is obtained; determining a maximum electrical curve of the clothes to be dried based on the electrical relative value curve and the first preset time length; determining a reference electrical curve of the clothes to be dried based on the maximum electrical curve and the second preset time length; proportional integral operation is carried out on the reference electrical curve, and a drying parameter curve of the clothes to be dried is determined; and judging whether the clothes to be dried are dried or not based on the drying judging parameter curve. The method comprises the steps of determining a maximum electrical curve of clothes to be dried according to a first preset duration and an electrical relative value curve, determining a reference electrical curve of the clothes to be dried according to a second preset duration and the maximum electrical curve, performing proportional integral operation on the reference electrical curve to obtain a drying parameter curve for judging whether the clothes to be dried are dried, wherein the data volume of the drying parameter curve is far smaller than that of the electrical relative value curve, determining whether the clothes to be dried are dried according to the drying parameter curve, and the drying parameter curve has small data operation volume, short processing time and small fluctuation of the drying parameter curve, effectively filters interference information and can improve the accuracy of drying judgment. The method solves the problems that the relative value is determined according to the electrical absolute value of a large amount of electrical data generated in the clothes drying process, whether clothes are dried or not is determined based on the electrical relative value, the data operation amount is large, the processing time is long, the fluctuation of the relative value is large, and misjudgment is easy to cause.
Example III
Fig. 3 is a schematic structural diagram of a drying device according to a third embodiment. As shown in fig. 3, the apparatus includes: an acquisition module 301, a determination module 302, a processing module 303 and a drying module 304.
An acquisition module 301, configured to acquire an electrical relative value curve of laundry to be dried in the drying apparatus;
a determining module 302, configured to determine a reference electrical characteristic curve of the laundry to be dried based on the electrical relative value curve, the first preset duration and the second preset duration;
the processing module 303 is configured to determine a drying parameter curve of the laundry to be dried based on the reference electrical curve and the drying parameter calculation method;
the drying determining module 304 is configured to determine whether the laundry to be dried has been dried based on the drying determining parameter curve.
Optionally, the acquiring module 301 is specifically configured to determine an electrical absolute value curve of the laundry to be dried based on the sensor; determining a high envelope curve and a low envelope curve corresponding to the electrical absolute value curve; an electrical relative value curve is determined based on the high envelope curve and the low envelope curve.
Optionally, the determining module 302 is specifically configured to determine a maximum electrical curve of the laundry to be dried based on the electrical relative value curve and the first preset duration; and determining a reference electrical curve of the clothes to be dried based on the maximum electrical curve and the second preset time length.
Optionally, the determining module 302 is specifically configured to divide the electrical relative value curve into a plurality of first sub-curves based on a first preset duration; determining the maximum electrical relative value of each first sub-curve respectively; and determining a maximum electrical property curve of the clothes to be dried based on the maximum electrical property relative values of all the first sub-curves.
Optionally, the second preset duration includes N sub-durations, where N is a positive integer.
Optionally, the determining module 302 is specifically configured to determine, according to the order from the smaller sub-length to the larger sub-length, a current middle curve of the laundry to be dried sequentially based on a last middle curve of the laundry to be dried and an i-th sub-length, where i is greater than or equal to 1 and less than or equal to N, and when i=1, the last middle curve is a maximum electrical curve; the current middle curve determined when i=n is taken as the reference electrical curve.
Optionally, the ratio of the ith sub-duration to the ith-1 st sub-duration is k, the ratio of the 1 st sub-duration to the first preset duration is m, and k and m are integers greater than or equal to 3.
Optionally, the determining module 302 is specifically configured to divide the previous intermediate curve into a plurality of second sub-curves based on the ith sub-duration; sorting the electrical relative values included in each second sub-curve respectively, and determining the middle electrical value of each second sub-curve based on the sorting result and the selection rule, wherein when i=1, the number of the electrical relative values included in each second sub-curve is m, and when 1 is more than or equal to N, the number of the electrical relative values included in each second sub-curve is k; and determining a current middle curve of the clothes to be dried based on the middle electric values of all the second sub-curves.
Optionally, the processing module 303 is specifically configured to perform a proportional-integral operation on the reference electrical curve to determine a drying parameter curve of the laundry to be dried.
The drying device provided by the embodiment can execute the drying method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the respective methods and processes described above, such as a drying method.
In some embodiments, the drying method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the drying method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the drying method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server) or that includes a middleware component (e.g., an application server) or that includes a front-end component through which a user can interact with an implementation of the systems and techniques described here, or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A drying method, characterized by comprising:
acquiring an electrical relative value curve of clothes to be dried in drying equipment;
determining a reference electrical curve of the clothes to be dried based on the electrical relative value curve, the first preset time length and the second preset time length;
determining a drying parameter curve of the clothes to be dried based on the reference electrical curve and a drying parameter calculation method;
and judging whether the clothes to be dried are dried or not based on the drying judgment parameter curve.
2. The method of claim 1, wherein the acquiring the electrical relative value profile of the laundry to be dried in the drying apparatus comprises:
determining an electrical absolute value curve of the clothes to be dried based on a sensor;
determining a high envelope curve and a low envelope curve corresponding to the electrical absolute value curve;
the electrical relative value curve is determined based on the high envelope curve and the low envelope curve.
3. The method of claim 1, wherein the determining the reference electrical profile of the laundry to be dried based on the electrical relative value profile, the first preset duration, and the second preset duration comprises:
determining a maximum electrical property curve of the clothes to be dried based on the electrical property relative value curve and the first preset time length;
and determining the reference electrical curve of the clothes to be dried based on the maximum electrical curve and the second preset time length.
4. The method of claim 3, wherein the determining the maximum electrical characteristic of the laundry to be dried based on the electrical relative value curve and the first preset time period comprises:
dividing the electrical relative value curve into a plurality of first sub-curves based on the first preset duration;
Determining the maximum electrical relative value of each first sub-curve respectively;
and determining the maximum electrical property curve of the clothes to be dried based on the maximum electrical property relative values of all the first sub-curves.
5. The method of claim 4, wherein the second predetermined duration comprises N sub-durations, N being a positive integer;
the determining the reference electrical characteristic curve of the laundry to be dried based on the maximum electrical characteristic curve and the second preset time length includes:
determining a current middle curve of the clothes to be dried according to the sequence from the small sub-length to the large sub-length and based on the last middle curve and the ith sub-length of the clothes to be dried in sequence, wherein,
1.ltoreq.i.ltoreq.n, when i=1, the last intermediate curve being the maximum electrical curve;
and taking the current middle curve determined when i=N as the reference electrical curve.
6. The method of claim 5, wherein the ratio of the ith sub-duration to the i-1 st sub-duration is k, the ratio of the 1 st sub-duration to the first predetermined duration is m, and k and m are integers greater than or equal to 3.
7. The method of claim 6, wherein the determining the current middle curve of the laundry to be dried based on the last middle curve of the laundry to be dried and the i-th sub-duration comprises:
Dividing the last intermediate curve into a plurality of second sub-curves based on the ith sub-duration;
sorting the electrical relative values included in each second sub-curve, and determining the intermediate electrical value of each second sub-curve based on the sorting result and the selection rule, wherein when i=1, the number of the electrical relative values included in each second sub-curve is m, and when 1 is less than or equal to N, the number of the electrical relative values included in each second sub-curve is k;
and determining the current middle curve of the clothes to be dried based on the middle electrical values of all the second sub-curves.
8. The method according to claim 1, wherein the determining the drying parameter curve of the laundry to be dried based on the reference electrical curve and the drying parameter calculation method includes:
and performing proportional integral operation on the reference electrical curve to determine a drying parameter curve of the clothes to be dried.
9. An electronic device, the electronic device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the drying method of any one of claims 1 to 8.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the drying method according to any one of claims 1 to 8 when executed.
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