CN110530754B - Clothes drying degree monitoring method and device and intelligent clothes hanger - Google Patents
Clothes drying degree monitoring method and device and intelligent clothes hanger Download PDFInfo
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- CN110530754B CN110530754B CN201910757562.3A CN201910757562A CN110530754B CN 110530754 B CN110530754 B CN 110530754B CN 201910757562 A CN201910757562 A CN 201910757562A CN 110530754 B CN110530754 B CN 110530754B
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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
- D06F57/00—Supporting means, other than simple clothes-lines, for linen or garments to be dried or aired
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N5/00—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
- G01N5/04—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid by removing a component, e.g. by evaporation, and weighing the remainder
- G01N5/045—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid by removing a component, e.g. by evaporation, and weighing the remainder for determining moisture content
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Abstract
The application provides a clothes drying degree monitoring method and device and an intelligent clothes hanger, which are used for solving the technical problem that the clothes drying degree is inaccurate in detection in the prior art. The method comprises the following steps: acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data in the airing environment of the clothes within the preset time period; correcting the weight change data according to the wind change data; and judging the drying degree of clothes on the clothes hanger according to the corrected weight change data.
Description
Technical Field
The application relates to the field of intelligent home furnishing, in particular to a method and a device for monitoring clothes drying degree and an intelligent clothes hanger.
Background
With the continuous development of science and technology, home intelligence has become a necessary trend and goes deep into thousands of households, for example: intelligent clothes hanger that dries in air. In the existing intelligent clothes hanger, a weight sensor can be arranged on the clothes hanger to acquire weight change data of clothes aired on the clothes hanger, and then the weight change value in a preset time period is compared and judged, so that the drying degree of the clothes on the clothes hanger can be roughly monitored.
However, in practical application, the weight sensor is easily interfered by natural environment factors, human factors and the like when actually acquiring the weight change data of clothes aired on the clothes hanger, so that the intelligent clothes hanger can misjudge the drying degree of the clothes.
Disclosure of Invention
The embodiment of the application provides a clothes drying degree monitoring method and device and an intelligent clothes hanger, and is used for solving the technical problem that clothes drying degree detection in the prior art is inaccurate.
In a first aspect, an embodiment of the present application provides a method for monitoring dryness of clothes, including:
acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data in the airing environment of the clothes within the preset time period;
analyzing the fluctuation characteristics of the wind power change data and the fluctuation characteristics of the weight change data; wherein the fluctuation characteristics include frequency and amplitude of data fluctuation;
determining that a fluctuation characteristic of the weight change data over a first time period matches a fluctuation characteristic of the wind change data over the first time period; wherein the first time period is a sub-time period within the preset time period; the matching of the fluctuation characteristics of the weight change data over a first time period with the fluctuation characteristics of the wind change data over the first time period comprises: the frequency of the fluctuation of the weight change data and the frequency of the fluctuation of the wind change data in the first time period are consistent, and/or the amplitude of the fluctuation of the weight change data and the amplitude of the fluctuation of the wind change data at each moment in the first time period are in an equal ratio relation; and judging the drying degree of clothes on the clothes hanger according to the corrected weight change data.
The method is different from the mode that the clothes drying degree is determined only according to the weight change data on the clothes hanger in the prior art, and the clothes drying monitoring is carried out on the clothes by analyzing the weight change data obtained by correcting the weight change data according to the fluctuation characteristics of the wind power change data, so that the clothes drying degree can be detected more accurately by the method.
Optionally, in consideration of an influence of natural wind on the weight change data, the specific implementation of acquiring the wind power change data in the drying environment of the clothes within the preset time period may include: and monitoring first wind power change data generated by natural wind in the preset time period through a first gas current meter. Specific embodiments of correcting the weight change data according to the wind change data include: correcting the weight change data based on the first wind change data.
According to the method, the weight change data is corrected through the natural wind power change data, and the corrected weight change data is used for carrying out drying monitoring on the clothes, so that the interference of natural wind on the weight change data can be eliminated, and the accuracy of detecting the drying degree of the clothes is improved.
Optionally, in some scenarios, the laundry rack may have a matching fan, and the specific implementation of acquiring the wind power change data in the drying environment of the clothes within the preset time period in consideration of the influence of the wind power generated by the fan on the weight change data may include: and monitoring second wind power change data generated by the fan in the preset time period through a second gas flow velocity meter. Specific embodiments of correcting the weight change data according to the wind change data include: correcting the weight change data according to the second wind change data.
According to the method, the wind power change data of the fan is used for correcting the weight change data, and the corrected weight change data is used for carrying out drying monitoring on the clothes, so that the interference of the wind power generated by the fan on the weight change data can be eliminated, and the accuracy of detecting the drying degree of the clothes is improved.
Optionally, the method may further include the specific implementation of obtaining wind power change data in the drying environment of the clothes within the preset time period by simultaneously considering influences of natural wind and a fan on the wind power change data, and the specific implementation may include: and monitoring first and second wind power change data generated by natural wind and a fan in the preset time period through a first and second gas flow velocity meters. Specific embodiments of correcting the weight change data according to the wind change data include: and correcting the weight change data according to the first and second wind change data.
According to the method, the weight change data is corrected through the natural wind and the wind power change data of the fan, and the clothes are dried and monitored by using the corrected weight change data, so that the interference of the wind power generated by the natural wind and the fan on the weight change data can be eliminated, and the accuracy of detecting the drying degree of the clothes is improved.
Optionally, in consideration of interference of human factors on the gravity change data of the clothes hanger, before the drying degree of the clothes on the clothes hanger is judged according to the corrected weight change data, the method further includes: if the fluctuation amplitude of the weight change data in a second time period is larger than a first preset value and the fluctuation amplitude of the wind power change data in the second time period is smaller than a second preset value, determining that the amount of clothes on the clothes hanger in the second time period is increased or decreased; and the second time period is a sub-time period in the preset time period.
Before the clothes drying degree is judged, whether clothes are added or reduced on the clothes hanger can be detected, and the accuracy of detecting the clothes drying degree is further improved.
Optionally, determining that the amount of clothes on the laundry rack increases or decreases within the second time period includes: if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the weight value increasing direction, the clothes on the clothes hanger are determined to be increased; and if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the direction of weight value reduction, determining that the clothes on the clothes hanger are reduced.
Before the clothes drying degree is judged, the clothes on the clothes hanger can be determined to be increased or decreased, and the accuracy of detecting the clothes drying degree is further improved.
Optionally, the determining the drying degree of the clothes on the laundry rack according to the corrected weight change data includes: determining a weight reduction value of clothes on the clothes hanger in the preset time period according to the corrected weight change data; determining a second threshold value according to the weight change value of the clothes on the clothes hanger in the second time period; judging whether the weight reduction value is larger than a second threshold value; if so, determining that the clothes are dried; otherwise, determining that the clothes are not dried.
When the clothes drying degree is judged, the interference of the weight change data to the weight change data due to artificial increase and decrease of clothes is considered, and the accuracy of detecting the clothes drying degree is further improved.
A second aspect of embodiments of the present application provides a clothes drying monitoring apparatus, including: the system comprises an acquisition module, a control module and a display module, wherein the acquisition module is used for acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data of the airing environment of the clothes within the preset time period; a correction module for analyzing the fluctuation characteristics of the wind power change data and the fluctuation characteristics of the weight change data; wherein the fluctuation characteristics include frequency and amplitude of data fluctuation; determining that a fluctuation characteristic of the weight change data over a first time period matches a fluctuation characteristic of the wind change data over the first time period; wherein the first time period is a sub-time period within the preset time period; the matching of the fluctuation characteristics of the weight change data over a first time period with the fluctuation characteristics of the wind change data over the first time period comprises: the frequency of the fluctuation of the weight change data and the frequency of the fluctuation of the wind change data in the first time period are consistent, and/or the amplitude of the fluctuation of the weight change data and the amplitude of the fluctuation of the wind change data at each moment in the first time period are in an equal ratio relation; correcting the weight change data over the first time period based on the wind change data over the first time period; and the judging module is used for judging the drying degree of the clothes on the clothes hanger according to the corrected weight change data.
Optionally, the obtaining module is specifically configured to: monitoring first wind power change data generated by natural wind in the preset time period through a first gas current meter; and/or monitoring second wind power change data generated by a fan matched with the clothes hanger in the preset time period through a second gas flow velocity meter.
Optionally, the determining module is specifically configured to: determining whether the weight reduction value of clothes on the clothes hanger in the preset time period is greater than a first threshold value according to the corrected weight change data; if so, determining that the clothes are dried; otherwise, determining that the clothes are not dried.
Optionally, the apparatus further comprises: the determining module is used for determining that the clothes on the clothes hanger in the second time period are increased or decreased when the fluctuation amplitude of the weight change data in the second time period is larger than a first preset value and the fluctuation amplitude of the wind power change data in the second time period is smaller than a second preset value before the judging module judges the drying degree of the clothes on the clothes hanger according to the corrected weight change data; and the second time period is a sub-time period in the preset time period.
Optionally, the determining module is specifically configured to: if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the weight value increasing direction, the clothes on the clothes hanger are determined to be increased; and if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the direction of weight value reduction, determining that the clothes on the clothes hanger are reduced.
Optionally, the determining module is specifically configured to: determining a weight reduction value of clothes on the clothes hanger in the preset time period according to the corrected weight change data; determining a second threshold value according to the weight change value of the clothes on the clothes hanger in the second time period; judging whether the weight reduction value is larger than a second threshold value; if so, determining that the clothes are dried; otherwise, determining that the clothes are not dried.
In a third aspect, an embodiment of the present application provides an intelligent laundry rack, including: a processor, and a memory communicatively coupled to the processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor executes the method according to the first aspect of the embodiments or any one of the optional embodiments of the first aspect by executing the instructions stored in the memory.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores computer instructions, and when the instructions are executed on a computer, the instructions cause the computer to perform the method according to the first aspect of the present application or any optional implementation manner of the first aspect.
The invention has the following beneficial effects:
when the drying degree of the clothes is judged, specifically, weight change data of the clothes on a clothes hanger in a preset time period and wind power change data in an airing environment of the clothes in the preset time period are obtained, the weight change data are corrected by analyzing fluctuation characteristics of the wind power change data, interference of wind power is filtered from the weight change data, real weight change data of the clothes are obtained, and finally the drying degree of the clothes on the clothes hanger is judged based on the corrected weight change data. Compared with the prior art, the technical scheme of the application eliminates the influence of wind power on the weight change data, so that the corrected weight change data is closer to the real weight change data of the clothes, and the accuracy of detecting the drying degree of the clothes is further improved.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring dryness of clothes according to an embodiment of the present application;
FIG. 2 is a fluctuation characteristic diagram of wind power variation data in an embodiment of the present application;
FIG. 3 is a graph of fluctuation characteristics of weight change data in an embodiment of the present application;
FIG. 4 is a graph showing the fluctuation characteristics of the corrected weight variation in the embodiment of the present application;
FIG. 5A is a fluctuation characteristic diagram of wind power variation data of natural wind in an embodiment of the present application;
FIG. 5B is a fluctuation feature diagram of the wind power variation data of the natural wind after removing the abnormal noise in the embodiment of the present application;
FIG. 6A is a fluctuation characteristic diagram of wind power variation data of a wind turbine in an embodiment of the present application;
FIG. 6B is a fluctuation feature diagram of wind power variation data of the wind turbine after removing abnormal noise in the embodiment of the present application;
FIG. 7 is a fluctuation characteristic diagram of third wind change data according to an embodiment of the present application;
FIG. 8 is a graph showing the variation of the weight of the clothes added in the second time period according to the embodiment of the present application;
FIG. 9 is a graph showing the variation in weight of the clothes during the second time period in the embodiment of the present application;
fig. 10 is a schematic structural diagram of a clothes dryness monitoring device according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of another laundry dryness monitoring device provided in an embodiment of the present application.
Detailed Description
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are not intended to limit the technical solutions of the present invention, but may be combined with each other without conflict.
It should be understood that the terms first, second, etc. in the description of the embodiments of the present application are used for distinguishing between the descriptions and not for indicating or implying relative importance or order. In the description of the embodiments of the present application, "a plurality" means two or more.
The term "and/or" in the embodiment of the present application is only one kind of association relationship describing an associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In order to solve the problem that misjudgment is made on the drying degree of clothes by an intelligent clothes hanger in the prior art, the embodiment of the application provides a clothes drying degree monitoring method.
Fig. 1 is a flowchart of the laundry dryness monitoring method. Referring to fig. 1, the method includes:
s101, acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data in the drying environment of the clothes within the preset time period.
The length of the preset time period may be set according to actual requirements, for example, 10 minutes, 20 minutes, or 30 minutes, and the like, which is not specifically limited in the embodiment of the present application.
In the embodiment of the application, a weight sensor can be arranged on the clothes hanger, and the weight change data of the clothes on the clothes hanger can be detected through the weight sensor. And the wind power change data can be obtained by installing a gas flow velocity meter for measurement and detection.
In the embodiment of the present application, the operation of acquiring the weight variation data and the wind variation data of the laundry may be periodically performed at preset time intervals, such as once every 5 minutes, 10 minutes, or 20 minutes. In some possible designs, the predetermined time interval may be the same as the predetermined time period, such as acquiring the weight change data and the wind change data every 20 minutes for the last 20 minutes. In other possible designs, the predetermined time interval may be different from the predetermined time period. For example, the preset time interval may be smaller than the preset time period, for example: the weight change data and the wind change data within the last 20 minutes are acquired every 10 minutes, so that the real-time performance of monitoring the drying degree of the clothes can be improved, and the clothes can be found to be dried in time when being dried.
In the embodiment of the present application, the operation of acquiring the weight change data and the wind change data of the laundry may be started when receiving an instruction to start the laundry drying detection process. The instruction can be an instruction input by a user, for example, when the user presses a function button on the clothes hanger to generate a trigger instruction to trigger the clothes hanger to start executing step S101, or when the user inputs a voice instruction to trigger the clothes hanger to start executing step S101, etc. In addition, the command may be automatically generated by the clothes hanger, for example, when the clothes hanger detects that the clothes are increased or decreased, a trigger command is automatically generated to start a clothes drying detection process to acquire the weight change data and the wind change data of the clothes.
And S102, correcting the weight change data according to the wind power change data.
Specifically, the fluctuation characteristics of the wind power change data and the fluctuation characteristics of the weight change data are analyzed, wherein the fluctuation characteristics comprise the frequency and/or amplitude of data fluctuation; determining that the fluctuation characteristics of the weight change data in a first time period within a preset time period are matched with the fluctuation characteristics of the wind change data in the first time period; the weight change data over the first time period is corrected based on the wind change data over the first time period.
The fluctuation feature of the weight change data in the first time period in the preset time period is determined to be matched with the fluctuation feature of the wind change data in the first time period, specifically, the fluctuation frequency of the weight change data in the first time period is consistent with the fluctuation frequency of the wind change data, and/or the fluctuation amplitude of the weight change data at each moment in the first time period is in an equal ratio relation with the fluctuation amplitude of the wind change data.
See, for example, fig. 2 and 3. Fig. 2 is a fluctuation characteristic diagram of wind power change data in 50 minutes, and fig. 3 is a fluctuation characteristic diagram of weight change data in 50 minutes. As can be seen from FIGS. 2 and 3, the frequency of the fluctuation of the wind power change data and the frequency of the fluctuation of the weight change data are the same in the 10 th to 28 th minutes, and the amplitude of the fluctuation of the wind power change data and the amplitude of the fluctuation of the weight change data are in an equal ratio relation at different times in the 10 th to 28 th minutes. Therefore, the fact that wind power interferes with the weight change data of clothes on the clothes hanger in 10 th to 28 th minutes can be inferred. Furthermore, the weight change data can be corrected based on the wind power change data within 10-28 minutes, and interference generated by wind power interference data in the weight change data can be filtered. For example, fig. 4 is a fluctuation characteristic diagram of corrected weight change data obtained by correcting the weight change data shown in fig. 3 based on the wind change data shown in fig. 2.
And S103, judging the drying degree of clothes on the clothes hanger according to the corrected weight change data.
Specifically, whether the weight reduction value of the clothes on the clothes hanger in the preset time period is larger than a first threshold value is judged according to the corrected weight change data. If the weight reduction value in the preset time period is greater than a first threshold value, determining that the clothes are dried; otherwise, determining that the clothes are not dried.
The weight reduction value is a difference between a weight value G0 corresponding to the start time and a weight value Gn corresponding to the end time of the preset time period, that is, Δ G is G0-Gn. Wherein the first threshold value can be set according to the weight of the clothes before and after the clothes are launched into the water. For example, following the example of fig. 2 to 4, if the initial weight (i.e., the weight when the laundry is not dropped) of the laundry on the clothes hanger is 0.7kg and the weight after the laundry is dropped is 2kg, the first threshold value may be set to 1.3 kg.
In practice, a third threshold may be set to more specifically determine the dryness of the laundry. For example, when the third threshold value is 1/2 the first threshold value, if it is detected that the weight loss value of the laundry is less than the third threshold value, it is determined that most of the moisture of the laundry is not dried and the laundry is in a relatively wet state; if the weight loss value is greater than the third threshold value and less than the first threshold value, it is determined that the laundry has lost most of the moisture and the laundry is in a drier state. For example, following the example of fig. 2-4, assuming that the third threshold is 0.65kg, referring to fig. 4, the clothes hanger detects that the actual weight reduction value of the clothes at the 11 th minute is 1kg, and is greater than 0.65kg and less than 1.3kg, which indicates that the clothes have lost most of the moisture and are in a drier state. Of course, in specific implementation, more thresholds such as a fourth threshold, a fifth threshold, and the like may be further set to more accurately monitor the dryness degree of the laundry.
Further, in the embodiment of the present application, it can be predicted how long the laundry will be completely dried according to the weight reduction value. For example, if the weight of 0.7kg of clothes after being put into water is 2kg and the weight of the clothes decreases by 0.9kg after being dried in the sun for 15 minutes, it is estimated that it takes 15 minutes at most to dry the clothes.
In some possible designs, a reminder message may also be sent to the user after determining that the clothes on the laundry rack have been dried. For example, the clothes hanger may broadcast a prompt sound of "dripping … …" through voice, or send a notification message to a smart device (e.g., a mobile phone, a tablet, a smart watch, etc.) of the user, and the embodiment of the present application is not limited in particular.
In the above scheme, when the drying degree of the clothes is judged, specifically, the weight change data of the clothes on the clothes hanger in a preset time period and the wind power change data in the drying environment of the clothes in the preset time period are obtained, then the fluctuation characteristics of the wind power change data are analyzed to correct the weight change data, further, the interference of wind power is filtered from the weight change data, and after the real weight change data (i.e., the corrected weight change data) of the clothes are obtained, the drying degree of the clothes on the clothes hanger is judged based on the corrected weight change data. Compare in prior art, this application has got rid of the influence of wind-force to weight change data, has improved the accuracy that detects clothing drying degree.
Optionally, in consideration of an influence of natural wind on the weight change data, the specific implementation of acquiring the wind power change data in the drying environment of the clothes within the preset time period may include: and monitoring first wind power change data generated by natural wind in the preset time period through a first gas current meter. Specific embodiments of correcting the weight change data according to the wind change data include: correcting the weight change data based on the first wind change data.
In specific implementation, a low-pass filter can be designed to remove abnormal noise in the first wind power change data and obtain fluctuation characteristic data of smooth natural wind power. For example, fig. 5A is a fluctuation characteristic diagram of wind power change data of natural wind, and fig. 5B is a fluctuation characteristic diagram of wind power change data of natural wind from which abnormal noise is removed.
According to the embodiment, the first air current meter is used for detecting the first air force change data of natural air in the preset time period, the weight change data in the preset time period is corrected according to the first air force change data, then the interference of natural air force is filtered from the weight change data, the real weight change data of clothes are obtained, finally the drying degree of the clothes on the clothes hanger is judged based on the corrected weight change data, and the accuracy of detecting the drying degree of the clothes is improved.
Optionally, in some scenarios, the laundry rack may have a fan to assist the laundry to dry quickly. In view of the above, in the embodiment of the application, in consideration of the influence of the wind power generated by the fan on the weight change data, the specific implementation of acquiring the wind power change data in the drying environment of the clothes within the preset time period may include: and monitoring second wind power change data generated by the fan in the preset time period through a second gas flow velocity meter. Specific embodiments of correcting the weight change data according to the wind change data include: correcting the weight change data according to the second wind change data.
Similarly, in the specific implementation, a low-pass filter can be designed to remove abnormal noise in the second wind variation data, and smooth wind fluctuation characteristic data generated by the wind turbine can be obtained. For example, fig. 6A is a fluctuation feature diagram of wind power variation data of a wind turbine, and fig. 6B is a fluctuation feature diagram of wind power variation data of a wind turbine after abnormal noise is removed.
According to the embodiment, the second wind power change data of the fan in the preset time period is detected through the second gas velocity meter, the weight change data in the preset time period is corrected according to the second wind power change data, then the interference of wind power generated by the fan is filtered from the weight change data, the real weight change data of clothes are obtained, finally the drying degree of the clothes on the clothes hanger is judged based on the corrected weight change data, and the accuracy of detecting the drying degree of the clothes is improved.
Optionally, in a specific implementation, the two embodiments may be combined, that is, the influence of natural wind and a fan on the weight change data is considered at the same time, that is, the specific implementation of acquiring the wind force change data in the drying environment of the clothes within the preset time period may include: and monitoring first and second wind power change data generated by natural wind and a fan in the preset time period through a first and second gas flow velocity meters.
Specific embodiments of correcting the weight change data according to the wind change data include: and fusing the first wind power change data and the second wind power change data to obtain third wind power change data. For example, refer to fig. 5B and 6B which are fluctuation feature graphs of natural wind power and fan power after removing abnormal noise, respectively, and fig. 7 is a fluctuation feature graph of third wind power variation data obtained according to fig. 5B and 6B; the weight change data is then corrected in accordance with the third wind change data.
According to the embodiment, the first and second air flow rate instruments are used for detecting the natural air in the preset time period and the first and second wind power change data generated by the fan, the weight change data in the preset time period are corrected according to the first and second wind power change data, then the interference of the natural air and the wind power of the fan is filtered from the weight change data, the real weight change data of clothes are obtained, and finally the drying degree of the clothes on the clothes hanger is judged based on the corrected weight change data, so that the accuracy of detecting the drying degree of the clothes is improved.
Optionally, in consideration of interference of human factors (such as human increase and decrease of clothes) on the clothes hanger weight change data, in this embodiment of the application, before determining the drying degree of the clothes on the clothes hanger according to the corrected weight change data, the method may further include: and determining that the fluctuation amplitude of the weight change data in a second time period within the preset time period is greater than the first preset value, and the fluctuation amplitude of the wind power change data in the second time period is less than the second preset value, and determining that the clothes on the clothes hanger in the second time period are increased or decreased.
For example, if the fluctuation amplitude of the weight change data in a second time period within a preset time period is greater than a first preset value and the fluctuation amplitude of the wind change data in the second time period is less than a second preset value, it may be determined that the laundry on the laundry rack is increased in the second time period. Wherein the second time period is less than a preset time length, such as 3s, 5s or 10 s.
For example, fig. 8 is a graph showing a variation fluctuation of the weight of the laundry added in the second time period, and it can be seen from fig. 8 that the weight of the laundry is suddenly changed at the 15 th minute, and the weight is added by about 1 kg.
For example, fig. 9 is a graph showing the variation fluctuation of the weight of the clothes reduced in the second time period, and it can be seen from fig. 9 that the weight of the clothes is suddenly changed at the 15 th minute, and the weight is reduced by about 1 kg.
Further, the method for judging the drying degree of the clothes on the clothes hanger according to the corrected weight change data comprises the following steps: and judging the drying degree of the clothes on the clothes hanger according to the weight change value of the clothes on the clothes hanger in the preset time period and the weight change value of the clothes on the clothes hanger in the second time period.
Specifically, the calculation parameters are calibrated and calculated according to the weight change value of the clothes on the clothes hanger in the preset time period. In the implementation of the present application, the sun calculation parameters include: the weight of the clothes on the clothes hanger and a threshold value compared with the weight reduction value in the preset time period.
Illustratively, assuming that the initial threshold is a first threshold (where the first threshold is approximately equal to the moisture weight of the clothes aired for the first time), if there is no increase or decrease in the clothes within the preset time period, the threshold is the first threshold, if the weight decrease value within the preset time period is greater than the first threshold, it is determined that the clothes on the laundry rack have been dried, otherwise, it is determined that the clothes have not been dried. If it is determined that there is an increase or decrease in the laundry for the second period of time, modifying the threshold value according to the increased or decreased weight of the laundry, for example, modifying the first threshold value to the second threshold value; accordingly, if the weight reduction value in the preset time period is greater than the second threshold value, it is determined that the laundry on the laundry rack is dried, otherwise, it is determined that the laundry is not dried. For example, when the initial weight of the laundry first dried on the laundry rack is 1.5kg, the washed weight is G0-2 kg (containing 0.5kg of moisture), and the laundry (containing 0.5kg of moisture) having the washed weight of G2-1 kg is added for the second time period, the weight change value G0-Gn for the preset time period is determined to satisfy the following relationship (G0-Gn) + G2 ≧ 0.5+ 0.5), that is, the weight decrease value (G0-Gn) ≧ 0.5+0.5-G2, it is determined that the laundry has been dried.
For another example, when the initial weight of the clothes first dried on the laundry rack is 1.5kg, the washed weight is G0-2 kg (containing 0.5kg of moisture), and the washed weight is reduced by 1kg of the clothes (containing 0.2kg of moisture) with the washed weight of G2-1.2 kg in the second time period, the weight change value G0-Gn in the preset time period is determined to satisfy the following relationship (G0-Gn) -G2 ≥ 0.5-0.2, i.e. G0-Gn) ≥ 0.5-0.2+ G2, it is determined that the clothes are dried.
In the embodiment, when the dryness degree of the clothes is judged, the interference of the manual increase and decrease of the clothes to the weight change data is considered in addition to the interference of the wind power in the weight change data, namely, the dryness degree of the clothes on the clothes hanger is judged according to the total weight change value of the clothes on the clothes hanger in the preset time period and the weight change value of the clothes on the clothes hanger in the second time period (namely, the time of increasing or decreasing the clothes), and the accuracy of detecting the dryness degree of the clothes is further improved.
Based on the same technical concept, the embodiment of the present application further provides an apparatus for monitoring the dryness degree of laundry, and referring to fig. 10, the apparatus includes an obtaining module 1001, a correcting module 1002, and a judging module 1003.
The obtaining module 1001 is configured to: acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data in the airing environment of the clothes within the preset time period;
the correction module 1002 is to: analyzing the fluctuation characteristics of the wind power change data and the fluctuation characteristics of the weight change data; wherein the fluctuation characteristics include frequency and amplitude of data fluctuation; determining that a fluctuation characteristic of the weight change data over a first time period matches a fluctuation characteristic of the wind change data over the first time period; wherein the first time period is a sub-time period within the preset time period; the matching of the fluctuation characteristics of the weight change data over a first time period with the fluctuation characteristics of the wind change data over the first time period comprises: the frequency of the fluctuation of the weight change data and the frequency of the fluctuation of the wind change data in the first time period are consistent, and/or the amplitude of the fluctuation of the weight change data and the amplitude of the fluctuation of the wind change data at each moment in the first time period are in an equal ratio relation; correcting the weight change data over the first time period based on the wind change data over the first time period;
the determining module 1003 is configured to: and judging the drying degree of clothes on the clothes hanger according to the corrected weight change data.
Optionally, the apparatus further comprises: the determining module is used for determining that clothes on the clothes hanger are increased or decreased in a second time period when the fluctuation amplitude of the weight change data in the second time period is larger than a first preset value and the fluctuation amplitude of the wind power change data in the second time period is smaller than a second preset value before the judging module judges the drying degree of the clothes on the clothes hanger according to the corrected weight change data; and the second time period is a sub-time period in the preset time period.
Optionally, the obtaining module 1001 is specifically configured to: monitoring first wind power change data generated by natural wind in the preset time period through a first gas current meter; and/or
And monitoring second wind power change data generated by a fan matched with the clothes hanger in the preset time period through a second gas flow velocity meter.
Optionally, the apparatus further comprises:
the determining module is used for determining that the clothes on the clothes hanger in the second time period are increased or decreased when the fluctuation amplitude of the weight change data in the second time period is larger than a first preset value and the fluctuation amplitude of the wind power change data in the second time period is smaller than a second preset value before the judging module judges the drying degree of the clothes on the clothes hanger according to the corrected weight change data; and the second time period is a sub-time period in the preset time period.
Optionally, the determining module is specifically configured to: if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the weight value increasing direction, the clothes on the clothes hanger are determined to be increased; and if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the direction of weight value reduction, determining that the clothes on the clothes hanger are reduced.
Optionally, the determining module 1003 is specifically configured to: determining a weight reduction value of clothes on the clothes hanger in the preset time period according to the corrected weight change data; determining a second threshold value according to the weight change value of the clothes on the clothes hanger in the second time period; judging whether the weight reduction value is larger than a second threshold value; if so, determining that the clothes are dried; otherwise, determining that the clothes are not dried.
For a specific implementation manner of executing the method steps by each module of the device, please refer to the specific implementation manner of the corresponding method steps in the above method embodiments, and this embodiment will not be described in detail.
Based on the same technical concept, the embodiment of the present application further provides an intelligent laundry rack, and referring to fig. 11, the apparatus includes a processor 2001 and a memory 2002.
Wherein the memory stores instructions executable by the at least one processor, and the at least one processor executes the laundry dryness monitoring method in the embodiment of the present application by executing the instructions stored in the memory.
Based on the same technical concept, the embodiment of the application also provides a computer readable storage medium; wherein the computer readable storage medium stores computer instructions which, when executed on a computer, cause the computer to execute the laundry dryness monitoring method in the embodiment of the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (14)
1. A method for monitoring dryness of clothes, the method comprising:
acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data in the airing environment of the clothes within the preset time period;
analyzing the fluctuation characteristics of the wind power change data and the fluctuation characteristics of the weight change data; wherein the fluctuation characteristics include frequency and amplitude of data fluctuation;
determining that a fluctuation characteristic of the weight change data over a first time period matches a fluctuation characteristic of the wind change data over the first time period; wherein the first time period is a sub-time period within the preset time period; the matching of the fluctuation characteristics of the weight change data over a first time period with the fluctuation characteristics of the wind change data over the first time period comprises: the frequency of the fluctuation of the weight change data and the frequency of the fluctuation of the wind change data in the first time period are consistent, and/or the amplitude of the fluctuation of the weight change data and the amplitude of the fluctuation of the wind change data at each moment in the first time period are in an equal ratio relation;
correcting the weight change data over the first time period based on the wind change data over the first time period;
and judging the drying degree of clothes on the clothes hanger according to the corrected weight change data.
2. The method of claim 1, wherein obtaining wind force variation data in an airing environment of the clothes within the preset time period comprises:
monitoring first wind power change data generated by natural wind in the preset time period through a first gas current meter; and/or
And monitoring second wind power change data generated by a fan matched with the clothes hanger in the preset time period through a second gas flow velocity meter.
3. The method of any of claims 1 or 2, wherein determining the dryness of the laundry on the laundry rack from the corrected weight change data comprises:
determining whether the weight reduction value of clothes on the clothes hanger in the preset time period is greater than a first threshold value according to the corrected weight change data;
if so, determining that the clothes are dried;
otherwise, determining that the clothes are not dried.
4. The method according to any of claims 1 or 2, wherein before determining the dryness of the laundry on the laundry rack from the corrected weight change data, the method further comprises:
if the fluctuation amplitude of the weight change data in a second time period is larger than a first preset value and the fluctuation amplitude of the wind power change data in the second time period is smaller than a second preset value, determining that the amount of clothes on the clothes hanger in the second time period is increased or decreased; and the second time period is a sub-time period in the preset time period.
5. The method of claim 4, wherein determining that the laundry on the laundry rack increases or decreases during the second time period comprises:
if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the weight value increasing direction, the clothes on the clothes hanger are determined to be increased;
and if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the direction of weight value reduction, determining that the clothes on the clothes hanger are reduced.
6. The method of claim 4, wherein determining the dryness of the clothes on the laundry rack from the corrected weight change data comprises:
determining a weight reduction value of clothes on the clothes hanger in the preset time period according to the corrected weight change data;
determining a second threshold value according to the weight change value of the clothes on the clothes hanger in the second time period;
judging whether the weight reduction value is larger than a second threshold value;
if so, determining that the clothes are dried;
otherwise, determining that the clothes are not dried.
7. A clothes drying monitoring device, comprising:
the system comprises an acquisition module, a control module and a display module, wherein the acquisition module is used for acquiring weight change data of clothes on a clothes hanger within a preset time period and wind power change data in the drying environment of the clothes within the preset time period;
a correction module for analyzing the fluctuation characteristics of the wind power change data and the fluctuation characteristics of the weight change data; wherein the fluctuation characteristics include frequency and amplitude of data fluctuation; determining that a fluctuation characteristic of the weight change data over a first time period matches a fluctuation characteristic of the wind change data over the first time period; wherein the first time period is a sub-time period within the preset time period; the matching of the fluctuation characteristics of the weight change data over a first time period with the fluctuation characteristics of the wind change data over the first time period comprises: the frequency of the fluctuation of the weight change data and the frequency of the fluctuation of the wind change data in the first time period are consistent, and/or the amplitude of the fluctuation of the weight change data and the amplitude of the fluctuation of the wind change data at each moment in the first time period are in an equal ratio relation; correcting the weight change data over the first time period based on the wind change data over the first time period;
and the judging module is used for judging the drying degree of the clothes on the clothes hanger according to the corrected weight change data.
8. The apparatus of claim 7, wherein the acquisition module is specifically configured to:
monitoring first wind power change data generated by natural wind in the preset time period through a first gas current meter; and/or
And monitoring second wind power change data generated by a fan matched with the clothes hanger in the preset time period through a second gas flow velocity meter.
9. The apparatus according to any one of claims 7 or 8, wherein the determining module is specifically configured to:
determining whether the weight reduction value of clothes on the clothes hanger in the preset time period is greater than a first threshold value according to the corrected weight change data;
if so, determining that the clothes are dried;
otherwise, determining that the clothes are not dried.
10. The apparatus of any of claims 7 or 8, further comprising:
the determining module is used for determining that the clothes on the clothes hanger in the second time period are increased or decreased when the fluctuation amplitude of the weight change data in the second time period is larger than a first preset value and the fluctuation amplitude of the wind power change data in the second time period is smaller than a second preset value before the judging module judges the drying degree of the clothes on the clothes hanger according to the corrected weight change data; and the second time period is a sub-time period in the preset time period.
11. The apparatus of claim 10, wherein the determination module is specifically configured to:
if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the weight value increasing direction, the clothes on the clothes hanger are determined to be increased;
and if the fluctuation amplitude of the weight change data in a second time period is detected to be larger than a first preset value, the fluctuation amplitude of the wind power change data in the second time period is detected to be smaller than a second preset value, and the fluctuation amplitude direction of the weight change data in the second time period is the direction of weight value reduction, determining that the clothes on the clothes hanger are reduced.
12. The apparatus of claim 10, wherein the determining module is specifically configured to:
determining a weight reduction value of clothes on the clothes hanger in the preset time period according to the corrected weight change data;
determining a second threshold value according to the weight change value of the clothes on the clothes hanger in the second time period;
judging whether the weight reduction value is larger than a second threshold value;
if so, determining that the clothes are dried;
otherwise, determining that the clothes are not dried.
13. An intelligent clothes hanger is characterized by comprising:
a processor, and a memory communicatively coupled to the processor;
wherein the memory stores instructions executable by the at least one processor to perform the method of any one of claims 1-6 by executing the instructions stored by the memory.
14. A computer-readable storage medium having stored thereon computer instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1-6.
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| CN113584845A (en) * | 2020-04-30 | 2021-11-02 | 云米互联科技(广东)有限公司 | Blowing control method, system, circulating fan and computer readable storage medium |
| CN113822476A (en) * | 2021-09-15 | 2021-12-21 | 珠海格力电器股份有限公司 | Method, system, device, equipment and storage medium for collecting aired objects |
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