CN110673496A - Intelligent cleaning equipment control method and device based on intelligent home operating system - Google Patents
Intelligent cleaning equipment control method and device based on intelligent home operating system Download PDFInfo
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- CN110673496A CN110673496A CN201910900862.2A CN201910900862A CN110673496A CN 110673496 A CN110673496 A CN 110673496A CN 201910900862 A CN201910900862 A CN 201910900862A CN 110673496 A CN110673496 A CN 110673496A
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- 238000004140 cleaning Methods 0.000 title claims abstract description 204
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000001035 drying Methods 0.000 claims abstract description 200
- 238000005406 washing Methods 0.000 claims description 93
- 238000004590 computer program Methods 0.000 claims description 9
- 238000010412 laundry washing Methods 0.000 claims description 8
- 230000004913 activation Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000007605 air drying Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000005108 dry cleaning Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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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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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Textile Engineering (AREA)
- Control Of Washing Machine And Dryer (AREA)
Abstract
The invention provides an intelligent cleaning equipment control method and device based on an intelligent home operating system. The method comprises the following steps: the control device acquires the number of clothes to be cleaned in the intelligent cleaning equipment and the number of idle drying racks of the drying equipment; the control device estimates the airing time point of the aired clothes on the airing equipment under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks; and the control device controls the starting time point of the intelligent cleaning equipment according to the estimated drying time point. According to the invention, the problem that the airing device does not have enough airing capacity after the intelligent cleaning device finishes cleaning the clothes and the user home experience is poor in the related art is solved, the scheme realizes the associated control of the intelligent cleaning device and the airing device, avoids the problem that no space is available for airing on the airing device after the clothes are cleaned, and improves the user experience.
Description
Technical Field
The invention relates to the field of smart home, in particular to a smart cleaning equipment control method and device based on a smart home operating system.
Background
Along with the continuous improvement of standard of living, the user can realize the control to intelligent kitchen electrical equipment, intelligent body-building equipment, intelligent cleaning equipment through wisdom family operating system for reach the purpose of house life management. In the living life of the house, the application of intelligent cleaning equipment (such as an intelligent washing machine) is more and more extensive, and the functions provided are more and more perfect.
At present, the intelligent cleaning equipment can clean at regular time according to the time set by a user, for example, the user can put clothes to be washed into the washing machine in advance, the washing machine is set to start at 6 pm, when the user arrives at home at 7 pm, the washing machine finishes washing, and the user can directly dry the clothes.
However, a user may not notice that the clothes on the clothes-horse are being dried, and due to factors such as weather, if the day is cloudy or the humidity is high, the user may arrive at home, and the washing machine has finished washing the clothes, but the clothes on the drying equipment (for example, the clothes-horse) are not completely dried, so that the drying space is insufficient, and finally the user cannot finish drying the clothes in time.
Disclosure of Invention
The embodiment of the invention provides a control method and a control device of intelligent cleaning equipment based on an intelligent home operation system, which are used for at least solving the problem that in the related art, the intelligent cleaning equipment does not have enough airing capacity after completing clothes cleaning, so that the home experience of a user is poor.
According to one aspect of the invention, a smart washing device control method based on a smart home operating system is provided, which comprises the following steps: the control device acquires the number of clothes to be cleaned in the intelligent cleaning equipment and the number of idle drying racks of the drying equipment; the control device estimates the airing time point of the aired clothes on the airing equipment under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks; and the control device controls the starting time point of the intelligent cleaning equipment according to the estimated drying time point.
In at least one exemplary embodiment, the controlling means controls the starting time point of the intelligent cleaning device according to the estimated airing time point, and includes: the control device compares the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to the starting time point and the cleaning mode of the intelligent cleaning equipment set by a user; and the control device modifies the starting time point of the intelligent cleaning equipment according to the estimated drying time point under the condition that the estimated cleaning completion time point is earlier than the estimated drying time point.
In at least one exemplary embodiment, the control device modifying the start time point of the intelligent cleaning apparatus according to the estimated airing time point includes: the control device determines the cleaning duration corresponding to the cleaning mode of the intelligent cleaning equipment set by the user; the control device modifies the starting time point of the intelligent cleaning equipment according to the estimated drying time point and the estimated cleaning time, wherein the modified starting time point is later than or equal to the estimated difference value between the drying time point and the cleaning time.
In at least one exemplary embodiment, modifying the start-up time point of the intelligent washing apparatus comprises at least one of: the control device sends a laundry washing instruction to the intelligent washing apparatus, wherein the laundry washing instruction includes: the washing mode set by the user and the modified starting time point; the control device sends a starting time changing instruction to the intelligent cleaning equipment, wherein the starting time changing instruction comprises the following steps: modified start-up time point.
In at least one exemplary embodiment, the controlling means controls the starting time point of the intelligent cleaning device according to the estimated airing time point, and includes: the control device compares the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to the starting time point and the cleaning mode of the intelligent cleaning equipment set by a user; the control device keeps the starting time point of the intelligent cleaning equipment as set by the user unchanged under the condition that the estimated cleaning completion time point is equal to or later than the estimated drying time point.
In at least one exemplary embodiment, the estimating, by the control device, a drying time point of clothes dried on the drying apparatus in a case where the number of the clothes to be washed is greater than the number of the idle drying racks includes: the control device acquires the humidity value of the area where the airing equipment is located under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks; and under the condition that the humidity value of the area where the airing equipment is located is greater than the indoor average humidity value, the control device estimates the airing time point of the aired clothes on the airing equipment.
In at least one exemplary embodiment, estimating a drying time point of clothes dried on the drying apparatus includes: the control device acquires current day weather data; and the control device predicts the airing time point of the aired clothes on the airing equipment according to the humidity value of the area where the airing equipment is located and the current day weather data.
In at least one exemplary embodiment, the estimating, by the control device, a drying time point of clothes dried on the drying device according to the humidity value of the area where the drying device is located and the current day weather data includes: the control device searches a drying time table according to the humidity value of the area where the drying equipment is located and the current day weather data to estimate the drying time of the clothes dried on the drying equipment; and the control device determines the drying time point of the clothes dried on the drying equipment according to the current time and the estimated drying time.
In at least one exemplary embodiment, the current day weather data includes at least one of: temperature data of each time period of the day and wind power data of each time period of the day; the airing schedule comprises: each humidity difference range in the plurality of humidity difference ranges is corresponding different airing duration under the condition of different weather data.
In at least one exemplary embodiment, the step of searching a drying schedule to predict a drying time of clothes dried on the drying device according to the humidity value of the area where the drying device is located and the current day weather data by the control device includes: the control device determines a humidity difference value, wherein the humidity difference value is the difference value between the humidity value of the area where the airing equipment is located and the indoor average humidity value; the control device determines the average value of the weather data from the current moment to the estimated cleaning completion time point according to the current day weather data; the control device searches the drying time table to predict the drying time of the clothes aired on the airing equipment based on the humidity difference value and the weather data mean value.
In at least one exemplary embodiment, the control means acquiring the number of empty drying racks of the drying apparatus includes at least one of: the control device acquires the number of idle drying racks reported by the drying equipment; the control device controls the camera to collect images of the area where the airing equipment is located, and the number of the idle airing racks is determined based on the images.
According to another aspect of the present invention, there is provided an intelligent cleaning device control apparatus based on a smart home operating system, comprising: the intelligent cleaning device comprises an information acquisition module, a data processing module and a data processing module, wherein the information acquisition module is used for acquiring the number of clothes to be cleaned in the intelligent cleaning device and the number of idle drying racks of the drying device; the airing time estimation module is used for estimating airing time points of the aired clothes on the airing equipment under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks; and the starting time control module is used for controlling the starting time point of the intelligent cleaning equipment according to the estimated airing time point.
In at least one exemplary embodiment the activation time control module is configured to: comparing the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to a starting time point of the intelligent cleaning equipment and a cleaning mode set by a user; and modifying the starting time point of the intelligent cleaning equipment according to the estimated drying time point under the condition that the estimated cleaning completion time point is earlier than the estimated drying time point.
In at least one example embodiment, the airing time estimation module is configured to: under the condition that the number of the clothes to be cleaned is larger than that of the idle drying racks, acquiring a humidity value of an area where the drying equipment is located; and under the condition that the humidity value of the area where the airing equipment is located is larger than the indoor average humidity value, the airing time point of the aired clothes on the airing equipment is estimated.
In at least one example embodiment, the airing time estimation module is configured to: acquiring current day weather data; and predicting the airing time point of the aired clothes on the airing equipment according to the humidity value of the area where the airing equipment is located and the current day weather data.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the intelligent cleaning equipment and the control method thereof, the control device obtains the number of the clothes to be cleaned in the intelligent cleaning equipment and the number of the idle drying frames of the drying equipment, compares the numbers, estimates the drying time point of the clothes to be dried on the drying equipment under the condition that the number of the clothes to be cleaned is larger than the number of the idle drying frames, and controls the starting time point of the intelligent cleaning equipment according to the estimated drying time point. Through the scheme, the problem that in the related art, due to the fact that the drying equipment does not have enough drying capacity after the intelligent cleaning equipment finishes clothes cleaning, the user home experience is poor is solved, the scheme realizes the associated control of the intelligent cleaning equipment and the drying equipment, the problem that after clothes cleaning is finished, space drying does not exist on the drying equipment is avoided, and the user experience is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a smart washing apparatus control method based on a smart home operating system according to embodiment 1 of the present invention;
fig. 2 is a block diagram of a smart washing device control apparatus based on a smart home operating system according to embodiment 2 of the present invention;
FIG. 3 is a schematic diagram of an application scenario according to embodiment 3 of the present invention;
fig. 4 is a flowchart of a smart washing device control method based on a smart home operating system according to embodiment 3 of the present invention;
fig. 5 is a schematic diagram of weather data provided in a weather app according to embodiment 3 of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Example 1
Fig. 1 is a flowchart of a smart washing apparatus control method based on a smart home operating system according to embodiment 1 of the present invention, and as shown in fig. 1, the flowchart includes the following steps S102-S106.
Step S102, the control device obtains the number of clothes to be cleaned in the intelligent cleaning equipment and the number of idle drying racks of the drying equipment.
In the implementation of step S102, the control device may obtain the number of the clothes to be washed in the intelligent washing apparatus from the intelligent washing apparatus, and the specific obtaining manner may include but is not limited to:
(1) the control device requests the intelligent cleaning equipment to acquire the quantity of the clothes to be cleaned in the intelligent cleaning equipment. When a user sets a cleaning task of the intelligent cleaning device through the mobile terminal, the control device can actively acquire the number of clothes to be cleaned from the intelligent cleaning device after knowing that the newly set cleaning task exists.
(2) When receiving the task of the user configuration request, the intelligent request equipment actively reports the number of the clothes to be cleaned in the intelligent cleaning equipment to the control device.
In implementing step S102, the manner in which the control means acquires the number of idle drying racks of the drying apparatus may include, but is not limited to:
(1) the control device obtains the number of the idle drying racks reported by the drying equipment, and at present, the intelligent drying equipment can automatically detect whether clothes are hung on each drying rack, so that the information is reported to the control device. Similar to the method for acquiring the number of the clothes to be cleaned in the intelligent cleaning equipment by the control device, the method for acquiring the number of the idle drying racks reported by the drying equipment by the control device can also adopt two different modes of requesting to acquire by the control device and actively reporting by the drying equipment.
(2) The control device controls the camera to collect images of the area where the airing equipment is located, and the number of the idle airing racks is determined based on the images. In the specific implementation process, image recognition can be carried out, the number of the clothes hung on the drying racks is recognized, and then the number of the hung clothes is subtracted from the total number of the drying racks, so that the number of the idle drying racks can be obtained; it is also possible to directly identify the empty drying racks and to determine the number of empty drying racks from this.
And S104, under the condition that the quantity of the clothes to be cleaned is greater than that of the idle drying racks, the control device estimates the drying time point of the clothes dried on the drying equipment.
In step S104, it is determined that the number of the to-be-cleaned clothes is greater than the number of the idle drying racks, which indicates that after the to-be-cleaned clothes are cleaned, the idle drying racks on the drying device are not enough to hang the cleaned clothes, and the modification of the starting time point of the intelligent cleaning device needs to be considered. Taking this as a starting point, how the starting time point of the intelligent cleaning device should be modified needs to be considered, and after the starting time point of the intelligent cleaning device is updated, the time point of the cleaning completion is equal to or later than the drying time point of the clothes aired on the airing device.
Considering that the clothes aired on the airing device may already be dry, without affecting the airing of the newly washed clothes, in an exemplary embodiment, a process of determining the humidity of the airing area is added. In this exemplary embodiment, step S104 includes:
step S1042, the control device obtains the humidity value of the area where the airing equipment is located when the number of the clothes to be cleaned is larger than that of the idle airing racks;
and step S1044, estimating the drying time point of the clothes dried on the drying equipment by the control device under the condition that the humidity value of the area where the drying equipment is located is greater than the indoor average humidity value.
In step S104 (or step S1044), the process of predicting the drying time point of the clothes dried on the drying device may be comprehensively evaluated according to the weather data of the day, the humidity of the drying area, and other factors. In at least one example embodiment, the control device obtains current day weather data; and the control device predicts the airing time point of the aired clothes on the airing equipment according to the humidity value of the area where the airing equipment is located and the current day weather data.
In practical application, in order to predict the time point of drying fast, controlling means can be according to the regional humidity value of sunning equipment place with day weather data, seek to dry the timetable in order to predict the length of time of drying of the clothing of sunning on the sunning equipment, and according to present moment with predict length of time of drying, confirm the time point of drying of the clothing of sunning on the sunning equipment.
Considering that the speed of the airing process is greatly related to the conditions of temperature, wind power and the like, the current day weather data can comprise at least one of the following conditions: temperature data of each time period of the day and wind power data of each time period of the day. Specifically, whether the temperature data or the wind data or the combination of the temperature data and the wind data are adopted can be determined according to the home environment, for example, whether the area where the airing equipment is located is open or not, whether internal temperature control exists or not and the like.
The airing schedule may include: each humidity difference range in the plurality of humidity difference ranges is corresponding different airing duration under the condition of different weather data.
Based on the above setting, the control device searches the airing schedule to predict the airing time of the aired clothes on the airing device according to the humidity value of the area where the airing device is located and the current day weather data, and the process of searching the airing time can include the following steps:
the control device determines a humidity difference value, wherein the humidity difference value is the difference value between the humidity value of the area where the airing equipment is located and the indoor average humidity value;
the control device determines the average value of the weather data from the current moment to the estimated cleaning completion time point according to the current day weather data;
the control device searches the drying time table to predict the drying time of the clothes aired on the airing equipment based on the humidity difference value and the weather data mean value.
By the method, the table can be quickly looked up, and a relatively accurate airing time point can be obtained on the premise of not needing a lot of computing resources. It should be understood by those skilled in the art that, based on the correlation between the moisture evaporation of the aired clothes and the environmental factors, those skilled in the art can also design a set of estimation algorithm for the airing time point, and not only the implementation manner of table lookup.
And S106, controlling the starting time point of the intelligent cleaning equipment by the control device according to the estimated airing time point.
The estimated relation between the airing time point and the cleaning completion time point of the intelligent cleaning equipment can be divided into the following two conditions:
(1) the estimated cleaning completion time point is earlier than the estimated airing time point
The control device can predict the cleaning completion time point of the intelligent cleaning equipment according to the starting time point and the cleaning mode of the intelligent cleaning equipment, and the control device can modify the starting time point of the intelligent cleaning equipment according to the predicted drying time point under the condition that the cleaning completion time point is earlier than the predicted drying time point.
The process that the control device modifies the starting time point of the intelligent cleaning equipment according to the estimated airing time point can comprise the following steps: the control device determines the cleaning duration corresponding to the cleaning mode of the intelligent cleaning equipment set by the user; the control device modifies the starting time point of the intelligent cleaning equipment according to the estimated drying time point and the estimated cleaning time, wherein the modified starting time point is later than or equal to the estimated difference value between the drying time point and the cleaning time.
In at least one embodiment, modifying the start-up time point of the intelligent washing apparatus may include at least one of:
the control device sends a laundry washing instruction to the intelligent washing apparatus, wherein the laundry washing instruction includes: the washing mode set by the user and the modified starting time point;
the control device sends a starting time changing instruction to the intelligent cleaning equipment, wherein the starting time changing instruction comprises the following steps: modified start-up time point.
(2) The estimated cleaning completion time point is equal to or later than the estimated drying time point the control device sets up according to the user the start time point and the cleaning mode of the intelligent cleaning equipment can be estimated the cleaning completion time point of the intelligent cleaning equipment, the control device is estimating the cleaning completion time point is equal to or later than the estimated drying time point, the start time point of the intelligent cleaning equipment can be kept as the user sets up the start time point of the intelligent cleaning equipment is unchanged, at the moment, the control device does not need to send any instruction to the intelligent cleaning equipment, and the intelligent cleaning equipment only needs to be started according to the normal operation of the user.
The main body of execution of each step in the solution of this embodiment is a control device, and the control device may be a control device in various forms, including at least one of the following: the smart home control system comprises a server (for example, a server located in the cloud), and a smart home control terminal in a smart home (including a control terminal dedicated to control of smart home devices in the smart home, or a smart home device integrated with a control function in the smart home, such as a smart sound box).
According to the scheme in the embodiment, the control device obtains the number of clothes to be cleaned in the intelligent cleaning equipment and the number of idle drying frames of the drying equipment, compares the numbers, estimates the drying time point of the clothes to be dried on the drying equipment under the condition that the number of the clothes to be cleaned is larger than the number of the idle drying frames, and controls the starting time point of the intelligent cleaning equipment according to the estimated drying time point. Through the scheme, the problem that in the related art, due to the fact that the drying equipment does not have enough drying capacity after the intelligent cleaning equipment finishes clothes cleaning, the user home experience is poor is solved, the scheme realizes the associated control of the intelligent cleaning equipment and the drying equipment, the problem that after clothes cleaning is finished, space drying does not exist on the drying equipment is avoided, and the user experience is improved.
In addition, in some exemplary embodiments of the present embodiment, it is determined whether the clothes on the drying device are already dried and thus drying of the newly washed clothes is not affected by determining whether the humidity value of the area where the drying device is located is greater than the indoor average humidity value. The judging process can jump out of the control flow of the intelligent cleaning equipment in advance under the condition that the starting time of the intelligent cleaning equipment is not required to be adjusted, and unnecessary starting time modification is avoided.
In addition, the control device can judge whether the clothes washing starting time needs to be modified according to the humidity value and the weather data of the clothes airing area, the accurate estimated airing time point is obtained, and the intelligent cleaning equipment is started to modify the starting time according to the estimated airing time point, so that when the intelligent cleaning equipment finishes cleaning, a user can have a sufficient space to air and clothes washing experience of the user is improved.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, an intelligent cleaning device control apparatus based on a smart home operating system is further provided, and the intelligent cleaning device control apparatus based on the smart home operating system is used to implement the foregoing embodiments and preferred embodiments, which have already been described and are not described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram of an intelligent washing apparatus control device based on a smart home operating system according to embodiment 2 of the present invention, as shown in fig. 2, the device includes:
and the information acquisition module 22 is used for acquiring the number of the clothes to be cleaned in the intelligent cleaning equipment and the number of the idle drying racks of the drying equipment.
And a drying time estimation module 24, configured to estimate a drying time point of the clothes aired on the airing device when the number of the clothes to be cleaned is greater than the number of the idle drying racks.
And the starting time control module 26 is used for controlling the starting time point of the intelligent cleaning equipment according to the estimated airing time point.
And determining that the number of the clothes to be cleaned is larger than that of the idle drying frames, and indicating that the idle drying frames on the drying equipment are not enough to hang the cleaned clothes after the clothes to be cleaned are cleaned, and considering the starting time point of the intelligent cleaning equipment. Taking this as a starting point, how the starting time point of the intelligent cleaning device should be modified needs to be considered, and after the starting time point of the intelligent cleaning device is updated, the time point of the cleaning completion is equal to or later than the drying time point of the clothes aired on the airing device.
Considering that the clothes aired on the airing device may already be dry, without affecting the airing of the newly cleaned clothes, in an exemplary embodiment, the airing time estimation module 24 is configured to:
under the condition that the number of the clothes to be cleaned is larger than that of the idle drying racks, acquiring a humidity value of an area where the drying equipment is located;
and under the condition that the humidity value of the area where the airing equipment is located is larger than the indoor average humidity value, the airing time point of the aired clothes on the airing equipment is estimated.
The process of predicting the airing time point of the aired clothes on the airing device can be comprehensively evaluated according to factors such as weather data and the humidity of the airing area on the same day. In at least one exemplary embodiment, the airing time estimation module 24 is configured to: acquiring current day weather data; and predicting the airing time point of the aired clothes on the airing equipment according to the humidity value of the area where the airing equipment is located and the current day weather data.
The estimated relation between the airing time point and the cleaning completion time point of the intelligent cleaning equipment can be divided into the following two conditions:
(1) the estimated cleaning completion time point is earlier than the estimated airing time point
The activation time control module 24 is configured to: comparing the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to a starting time point of the intelligent cleaning equipment and a cleaning mode set by a user; and modifying the starting time point of the intelligent cleaning equipment according to the estimated drying time point under the condition that the estimated cleaning completion time point is earlier than the estimated drying time point.
In at least one embodiment, the activation time control module 24 may modify the activation time point of the intelligent cleaning apparatus by at least one of:
sending a laundry washing instruction to the intelligent washing device, wherein the laundry washing instruction comprises: the washing mode set by the user and the modified starting time point;
sending a start time change instruction to the intelligent cleaning equipment, wherein the start time change instruction comprises: modified start-up time point.
(2) The estimated time point for completing the cleaning is equal to or later than the estimated time point for airing the starting time control module 24 is used for: comparing the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to a starting time point of the intelligent cleaning equipment and a cleaning mode set by a user; what estimate wash the completion time point equal to or later than estimate dry under the condition of time point, can keep intelligent cleaning equipment's start-up time point does the user sets up intelligent cleaning equipment's start-up time point is unchangeable, at this moment, start-up time control module 24 need not to send any instruction to intelligent cleaning equipment, and intelligent cleaning equipment only need according to user's setting normal operating start can.
According to the scheme in the embodiment, the intelligent cleaning equipment control device based on the intelligent household operating system obtains the number of clothes to be cleaned in the intelligent cleaning equipment and the number of idle drying frames of the drying equipment, compares the numbers, predicts the drying time point of the clothes to be dried on the drying equipment under the condition that the number of the clothes to be cleaned is larger than the number of the idle drying frames, and controls the starting time point of the intelligent cleaning equipment according to the predicted drying time point. Through the scheme, the problem that in the related art, due to the fact that the drying equipment does not have enough drying capacity after the intelligent cleaning equipment finishes clothes cleaning, the user home experience is poor is solved, the scheme realizes the associated control of the intelligent cleaning equipment and the drying equipment, the problem that after clothes cleaning is finished, space drying does not exist on the drying equipment is avoided, and the user experience is improved.
In addition, in some exemplary embodiments of the present embodiment, it is determined whether the clothes on the drying device are already dried and thus drying of the newly washed clothes is not affected by determining whether the humidity value of the area where the drying device is located is greater than the indoor average humidity value. The judging process can jump out of the control flow of the intelligent cleaning equipment in advance under the condition that the starting time of the intelligent cleaning equipment is not required to be adjusted, and unnecessary starting time modification is avoided.
In addition, the intelligent cleaning equipment control device based on the smart home operating system can judge whether the clothes washing starting time needs to be modified according to the humidity value and the weather data of the clothes drying area, obtain a relatively accurate predicted air drying time point, and modify the starting time of the intelligent cleaning equipment according to the predicted air drying time point, so that when the intelligent cleaning equipment is cleaned, a user can have a sufficient space to dry the clothes, and the clothes washing experience of the user is improved.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 3
In this embodiment, the intelligent cleaning device control method based on the smart home operating system according to the present application is described by taking an example in which the intelligent cleaning device is specifically an intelligent washing machine, the airing device is specifically an intelligent clothes hanger, and the control device is a server. Since the intelligent washing device is embodied as an intelligent washing machine, all terms related to "washing" are embodied as "laundry" in the present embodiment. Since the airing device is embodied as a smart laundry rack, all terms relating to "airing" are embodied as "airing" in this embodiment. It should be understood by those skilled in the art that the intelligent cleaning device may be embodied as other types of cleaning devices, such as an intelligent dry cleaning machine, an intelligent washing and drying machine, etc., which may respectively correspond to respective estimated airing schedules. The clothes drying equipment can be an intelligent clothes drying rack or a non-intelligent traditional clothes drying rack.
In this embodiment, an application scenario of the present scheme is described first. Fig. 3 is a schematic diagram of an application scenario according to embodiment 3 of the present invention. As shown in fig. 3, in this scheme, the intelligent cleaning device is an intelligent washing machine, the airing device is an intelligent clothes hanger, and communication modules can be configured for the intelligent washing machine, the intelligent clothes hanger, the humidity sensor, the user terminal and the like, so that communication can be performed with the server through the router, and the operating system of each device can also realize the cooperative operation among multiple devices in the internet of things. The server can provide services such as data processing and the like for each intelligent household device, data intercommunication among the intelligent household devices is realized, the server and the terminal can be in communication connection with the intelligent household devices through the wireless router, and the intelligent household devices can also be in communication connection through the wireless router.
In order to effectively solve the problem that in the related art, after the intelligent cleaning equipment finishes cleaning clothes, the airing equipment does not have enough airing capacity, so that the user home experience is poor, the embodiment provides an intelligent cleaning equipment control method based on an intelligent home operation system, after the user finishes the setting of an intelligent washing machine (sets a washing task in advance), a server acquires relevant data of the intelligent washing machine, judges whether the clothes airing space is sufficient or not according to the available number of clothes hangers, and when the humidity value of a clothes airing area is larger than the current average humidity value, the server acquires current day weather data and judges whether the clothes airing starting time needs to be modified or not according to the humidity value and the weather data of the clothes airing area; if the judgment result is yes, the server determines the modified washing starting time according to the acquired estimated airing time point, generates an instruction and sends the instruction to the washing machine. The method of the embodiment combines weather and indoor humidity data, and by the combination of the intelligent washing machine and the intelligent clothes drying rod, the clothes can be dried in time after being washed by a user, and the intelligent home experience of the user is enhanced. The laundry experience of the user is improved. This scheme is described in detail below with reference to a flowchart.
Fig. 4 is a flowchart of a smart washing device control method based on a smart home operating system according to embodiment 3 of the present invention, as shown in fig. 4, the method includes the following steps.
S401, after the user completes the setting of the intelligent washing machine, the server obtains relevant data of the intelligent washing machine.
Specifically, when the user completes the setting of the intelligent washing machine, the intelligent washing machine sends the data to the server, and the relevant data of the intelligent washing machine includes the number of the laundry recognized by the intelligent washing machine (corresponding to the "number of the laundry to be washed" in embodiments 1 and 2), the washing start time point (corresponding to the "start time point of the intelligent washing apparatus set by the user" in embodiments 1 and 2), and the washing mode (corresponding to the "washing mode of the intelligent washing apparatus set by the user" in embodiments 1 and 2). One specific example of the related data of the intelligent laundry machine is shown in the following table 1.
TABLE 1
| Number of washed clothes | 15 pieces |
| Laundry Start time Point | 17:20 |
| Cleaning mode | Normal mode |
After the server receives the data related to the intelligent washing machine, it may determine a washing completion time point (corresponding to the "estimated washing completion time point of the intelligent washing device" in embodiments 1 and 2) according to the washing start time point and the washing mode used time (corresponding to the "washing duration corresponding to the washing mode" in embodiments 1 and 2).
For example, the user puts the laundry into the intelligent washing machine at 8:00 in the morning, and the intelligent washing machine recognizes that the number of the laundry is: 15 pieces, presetting washing starting time to be 17:20 by a user, presetting a washing mode: normal mode, then according to the starting time 17:20, and the washing time of normal mode: at 40 minutes, the laundry completion time points were determined as: 18:00.
S402, the server acquires image data of a clothes drying area, and determines the available number of intelligent clothes hangers according to the image data (corresponding to the number of idle drying racks of the drying equipment in the embodiments 1 and 2).
After the server acquires the preset data of the intelligent washing machine, the current image of the clothes airing area in the home environment is acquired through the arranged camera, and the server identifies the image, so that the available number of the intelligent clothes hangers can be determined.
Specifically, the number of clothes to be aired currently can be identified first, and then the available number of the intelligent clothes hangers can be determined. If the number of the clothes currently aired on the intelligent clothes hanger is 10 and the total number of the intelligent clothes hangers is 20, the available number of the intelligent clothes hangers is 20-10 or 10.
Or the clothes hangers without clothes airing can be directly identified, and the available number of the intelligent clothes hangers can be determined.
S403, determining whether the current clothes drying space is sufficient according to whether the number of washed clothes is less than or equal to the available number of intelligent clothes hangers, if the determination result is "no" (that is, the number of washed clothes is greater than the available number of intelligent clothes hangers), the server obtains the humidity value of the clothes drying area (corresponding to "humidity value of the area where the drying device is located" in embodiments 1 and 2).
In one example, if the number of the washed clothes is 15, the available number of the intelligent laundry racks is 10, and the number of the 15 clothes is more than 10, it is determined that the current clothes drying space is insufficient. Otherwise, if the quantity of the washed clothes is less than or equal to the available quantity of the intelligent clothes hangers, the current clothes airing space is sufficient, and the execution is finished.
S404, when the determination result is that the clothes drying space is insufficient, the server obtains data collected by the humidity sensors provided in the smart home system, such as humidity values of clothes drying areas, and calculates a current average humidity value of the home environment (corresponding to the "indoor average humidity value" in embodiments 1 and 2) according to all the humidity sensor collected values. For example, the humidity sensor in the clothes airing area acquires data as follows: 85%, the current average humidity value of the home environment is: 45 percent.
S405, judging whether the airing of the user is influenced or not according to whether the humidity value of the airing area is larger than the current average humidity value or not, and if the judgment result is yes, entering the step S406.
S406, the server acquires the current day weather data (corresponding to the "current day weather data" in embodiments 1 and 2).
And when the humidity value of the clothes airing area is larger than the current average humidity value (85% > 45%), judging that the airing of the user is influenced, and acquiring the weather data of the day by the server. The weather data, which can be obtained by the server through the weather app, includes temperature data and wind data at each time point of the day (corresponding to "temperature data at each time period of the day, wind data at each time period of the day" in embodiments 1 and 2). Fig. 5 is a schematic diagram of weather data provided in a weather app according to embodiment 3 of the present invention.
It can be understood that when the clothes airing space is judged to be insufficient, two situations generally exist, one situation is that although the clothes on the current intelligent clothes airing rod are more, the clothes are aired, and the airing of a user is not influenced; the other is that the clothes are not dried, which affects the airing of the user. Therefore, whether the clothes on the intelligent clothes airing rod are aired at present is judged according to the comparison result of the humidity value of the clothes airing area and the indoor average humidity, and if the humidity value of the clothes airing area is higher than the average value, the clothes are not dry, and airing of a user is influenced. At this moment, the current day weather data needs to be acquired, and the purpose is to judge whether the clothes aired at present can be naturally aired or not when the clothes are washed through the current day weather data and the clothes washing completion time point.
S407-1, the server judges whether the washing start time needs to be modified according to the humidity value and the weather data of the clothes drying area, and if the judgment result is yes, the step S407-2 is executed;
s407-2, generating a corresponding washing instruction and sending the washing instruction to the washing machine.
In order to finish the drying when the intelligent washing machine finishes washing, the server determines the estimated drying time (corresponding to "drying time of clothes dried on the drying device" in embodiments 1 and 2) according to the humidity value of the clothes drying area and the weather data. The estimated airing time point (corresponding to the "estimated airing time point" in examples 1 and 2) is determined from the estimated airing time, and if the estimated airing time point is later than the laundry completion time point, the laundry start time needs to be modified, otherwise, no modification is needed.
It can be understood that if the temperature is high and the wind power is strong on the day, the clothes can be naturally dried by combining the time data, the clothes washing starting time does not need to be modified subsequently, otherwise, the clothes washing finishing time point can be realized by modifying, and sufficient clothes drying space is provided.
The estimated airing time is determined from an estimated airing schedule in the server (corresponding to the "airing schedule" in examples 1 and 2), an example of which is shown in table 2 below (the following is only a partial data representation):
TABLE 2
Wherein the average temperature is an average temperature of a time period between a current time point and a washing completion time point (corresponding to "average value of weather data from the current time to an estimated washing completion time point" in embodiments 1 and 2), and the average wind power is an average wind power of a time period between a current time point and a washing completion time point (corresponding to "average value of weather data from the current time to an estimated washing completion time point" in embodiments 1 and 2), for example, 8:00 earlier at the current time and 18:00 at the washing completion time point, and the average temperature is 25 ℃ and the average wind power is 4 grades according to the temperature data and the wind power data of each time point of the day in the weather data.
In the foregoing example, the humidity sensor in the clothes drying area collects data as follows: 85%, the current average humidity value of the home environment is: 45 percent. Then Δ (laundry area humidity value-average humidity value) is: 40 percent. Where Δ corresponds to the "humidity difference" in examples 1 and 2.
And then, determining the estimated airing time to be 4 hours according to the estimated airing time table.
In one example, if the current time is 8:00 earlier, the estimated airing time point is 12:00, and the laundry completion time point is 18:00, the laundry in the current laundry area can be naturally aired without modifying the laundry start time.
In another example, if it is determined that the estimated airing time is 6 hours, the current time is 11:00, the estimated airing time point is 18:00, and the laundry completion time point is 15:00, the clothes in the current airing area cannot be naturally aired, and the laundry start time needs to be modified, the server determines the laundry start time based on the estimated airing time point, and if the estimated airing time point is 18:00, the laundry is expected to take 40 minutes, and the laundry start time is modified to 17: 20. And the server generates a new washing instruction and sends the new washing instruction to the washing machine.
Through the scheme of embodiment 3, when the clothes drying space is insufficient, the server determines the estimated airing time point according to the humidity value and the weather data of the clothes drying area, judges whether the clothes drying starting time needs to be modified, and generates a new clothes washing instruction to send to the washing machine if the judgment result is yes. According to the scheme, the problem that the intelligent washing machine and the intelligent clothes hanger cannot be controlled in an associated mode in intelligent household equipment is avoided, if the intelligent washing machine finishes cleaning, the intelligent clothes hanger does not have enough airing capacity, and finally the user home experience is poor. The scheme can help a user to prepare a sufficient clothes airing space in advance, the server judges whether the clothes airing space is sufficient according to the number of cleaned clothes and the available number of the intelligent clothes hangers, judges whether the clothes airing start time needs to be modified according to weather data, and determines the modified clothes airing start time according to the estimated airing time point. Through the operation, when the intelligent washing machine finishes washing clothes, a user can have sufficient space to dry clothes, and the clothes washing experience of the user is improved.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (16)
1. A control method of intelligent cleaning equipment based on an intelligent home operating system is characterized by comprising the following steps:
the control device acquires the number of clothes to be cleaned in the intelligent cleaning equipment and the number of idle drying racks of the drying equipment;
the control device estimates the airing time point of the aired clothes on the airing equipment under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks;
and the control device controls the starting time point of the intelligent cleaning equipment according to the estimated drying time point.
2. The method according to claim 1, wherein the controlling means controlling the start-up time point of the intelligent cleaning apparatus according to the estimated airing time point comprises:
the control device compares the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to the starting time point and the cleaning mode of the intelligent cleaning equipment set by a user;
and the control device modifies the starting time point of the intelligent cleaning equipment according to the estimated drying time point under the condition that the estimated cleaning completion time point is earlier than the estimated drying time point.
3. The method of claim 2, wherein the controlling device modifying the start-up time point of the intelligent cleaning apparatus according to the estimated airing time point comprises:
the control device determines the cleaning duration corresponding to the cleaning mode of the intelligent cleaning equipment set by the user;
the control device modifies the starting time point of the intelligent cleaning equipment according to the estimated drying time point and the estimated cleaning time, wherein the modified starting time point is later than or equal to the estimated difference value between the drying time point and the cleaning time.
4. The method of claim 3, wherein modifying the start-up time point of the intelligent washing apparatus comprises at least one of:
the control device sends a laundry washing instruction to the intelligent washing apparatus, wherein the laundry washing instruction includes: the washing mode set by the user and the modified starting time point;
the control device sends a starting time changing instruction to the intelligent cleaning equipment, wherein the starting time changing instruction comprises the following steps: modified start-up time point.
5. The method according to claim 1, wherein the controlling means controlling the start-up time point of the intelligent cleaning apparatus according to the estimated airing time point comprises:
the control device compares the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to the starting time point and the cleaning mode of the intelligent cleaning equipment set by a user;
the control device keeps the starting time point of the intelligent cleaning equipment as set by the user unchanged under the condition that the estimated cleaning completion time point is equal to or later than the estimated drying time point.
6. The method according to claim 1, wherein the control device estimating a drying time point of the clothes dried on the drying equipment in case that the number of the clothes to be cleaned is larger than the number of the idle drying racks comprises:
the control device acquires the humidity value of the area where the airing equipment is located under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks;
and under the condition that the humidity value of the area where the airing equipment is located is greater than the indoor average humidity value, the control device estimates the airing time point of the aired clothes on the airing equipment.
7. The method according to any one of claims 1-6, wherein estimating a drying time point for clothes dried on the drying apparatus comprises:
the control device acquires current day weather data;
and the control device predicts the airing time point of the aired clothes on the airing equipment according to the humidity value of the area where the airing equipment is located and the current day weather data.
8. The method of claim 7, wherein the step of estimating, by the control device, a drying time point of the clothes dried on the drying device according to the humidity value of the area where the drying device is located and the current day weather data comprises:
the control device searches a drying time table according to the humidity value of the area where the drying equipment is located and the current day weather data to estimate the drying time of the clothes dried on the drying equipment;
and the control device determines the drying time point of the clothes dried on the drying equipment according to the current time and the estimated drying time.
9. The method of claim 8, wherein the current day weather data comprises at least one of: temperature data of each time period of the day and wind power data of each time period of the day; the airing schedule comprises: each humidity difference range in the plurality of humidity difference ranges corresponds to different airing time lengths under the condition of different weather data;
the controlling means according to the regional humidity value in sunning equipment place and the weather data of this day, seek to dry the timetable in order to predict the length of time of drying of the clothing of sunning on the sunning equipment includes:
the control device determines a humidity difference value, wherein the humidity difference value is the difference value between the humidity value of the area where the airing equipment is located and the indoor average humidity value;
the control device determines the average value of the weather data from the current moment to the estimated cleaning completion time point according to the current day weather data;
the control device searches the drying time table to predict the drying time of the clothes aired on the airing equipment based on the humidity difference value and the weather data mean value.
10. Method according to any of claims 1-6, characterized in that the control means obtaining the number of free drying racks of the drying apparatus comprises at least one of:
the control device acquires the number of idle drying racks reported by the drying equipment;
the control device controls the camera to collect images of the area where the airing equipment is located, and the number of the idle airing racks is determined based on the images.
11. The utility model provides an intelligence cleaning equipment controlling means based on wisdom operating system of family which characterized in that includes:
the intelligent cleaning device comprises an information acquisition module, a data processing module and a data processing module, wherein the information acquisition module is used for acquiring the number of clothes to be cleaned in the intelligent cleaning device and the number of idle drying racks of the drying device;
the airing time estimation module is used for estimating airing time points of the aired clothes on the airing equipment under the condition that the number of the clothes to be cleaned is larger than that of the idle airing racks;
and the starting time control module is used for controlling the starting time point of the intelligent cleaning equipment according to the estimated airing time point.
12. The apparatus of claim 11, wherein the activation time control module is configured to:
comparing the estimated cleaning completion time point of the intelligent cleaning equipment with the estimated airing time, wherein the cleaning completion time point is estimated according to a starting time point of the intelligent cleaning equipment and a cleaning mode set by a user;
and modifying the starting time point of the intelligent cleaning equipment according to the estimated drying time point under the condition that the estimated cleaning completion time point is earlier than the estimated drying time point.
13. The apparatus of claim 11, wherein the airing time estimation module is configured to:
under the condition that the number of the clothes to be cleaned is larger than that of the idle drying racks, acquiring a humidity value of an area where the drying equipment is located;
and under the condition that the humidity value of the area where the airing equipment is located is larger than the indoor average humidity value, the airing time point of the aired clothes on the airing equipment is estimated.
14. The apparatus of any one of claims 11-13, wherein the airing time estimation module is configured to:
acquiring current day weather data;
and predicting the airing time point of the aired clothes on the airing equipment according to the humidity value of the area where the airing equipment is located and the current day weather data.
15. A storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 10 when executed.
16. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 10.
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