CN110569438A - operation mode recommendation method and computer-readable storage medium - Google Patents

operation mode recommendation method and computer-readable storage medium Download PDF

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Publication number
CN110569438A
CN110569438A CN201910853217.XA CN201910853217A CN110569438A CN 110569438 A CN110569438 A CN 110569438A CN 201910853217 A CN201910853217 A CN 201910853217A CN 110569438 A CN110569438 A CN 110569438A
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mode
recommended
function
functional
modes
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汪丛宇
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474Sequence data queries, e.g. querying versioned data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

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  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Fuzzy Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an operation mode recommendation method and a computer readable storage medium, wherein the operation mode recommendation method comprises the following steps: acquiring historical use data of the electrical equipment in each function mode, wherein the historical use data at least comprises the use times of the function modes; ranking the functional modes based on the historical usage data; and selecting a function mode to be recommended from the plurality of function modes according to the sequencing result, and recommending the function mode to be recommended to the user so as to assist the user in determining the operation mode of the electrical equipment. The method avoids the need of inquiring and setting each function mode when the electrical equipment is used every time, and can realize the automatic generation of a set of function mode recommendation according to the habit of the user, thereby better meeting the actual requirements of the user and enabling the user to conveniently and quickly determine the operation mode of the electrical equipment according to the recommended operation mode.

Description

Operation mode recommendation method and computer-readable storage medium
Technical Field
the present invention relates to the field of electrical appliance technologies, and in particular, to a method for recommending an operation mode of an electrical appliance and a computer-readable storage medium.
background
The processing and analysis of big data is becoming a node for the fusion application of new generation information technology. The mobile internet, the internet of things, social networks, digital homes, electronic commerce and the like are application forms of new-generation information technologies, and the applications continuously generate big data. Cloud computing provides a storage and operation platform for these massive and diversified big data. Through the management, processing, analysis and optimization of data from different sources, results are fed back to the application, and huge economic and social values are created.
However, in the prior art, statistical data and the smart home are not combined, and automatic recommendation of the smart home operation mode cannot be realized.
Disclosure of Invention
the technical problem to be solved by the invention is as follows: the method has the advantages that historical use data and the intelligent home are not combined, and automatic recommendation of the intelligent home operation mode cannot be achieved.
To solve the above technical problem, according to an aspect of the present invention, there is provided an operation mode recommendation method including:
Acquiring historical use data of the electrical equipment in each function mode, wherein the historical use data at least comprises the use times of the function modes;
Ranking a plurality of functional modes based on the historical usage data;
Selecting a function mode to be recommended from the plurality of function modes according to the sorting result;
Recommending the function mode to be recommended to a user so as to assist the user in determining the operation mode of the electrical equipment.
preferably, the sorting of the functional modes based on the number of uses includes: and sequencing the plurality of functional modes according to the sequence of the number of times of use within the same time.
Preferably, the historical usage data further includes a usage duration of the functional mode, and the ranking of the plurality of functional modes based on the historical usage data includes: and sequencing the plurality of functional modes based on the sequence of the use duration from long to short under the same use times.
Preferably, the historical usage data further includes power consumption of the functional mode;
Accordingly, ranking a plurality of functional modes based on the historical usage data further comprises: and under the condition of the same use times and the same use time length, sequencing the plurality of functional modes according to the power consumption.
Preferably, selecting a function mode to be recommended from the plurality of function modes according to the sorting result includes:
and selecting the functional mode at the designated ranking position from the sorting result as the functional mode to be recommended.
Preferably, selecting a functional mode at a specified ranking position from the sorting results as the functional mode to be recommended includes:
Determining a functional mode of a plurality of ranking positions ranked at the top in the ranking result;
and taking the functional mode of the determined ranking position as the functional mode to be recommended.
Preferably, recommending the function mode to be recommended to a user to assist the user in determining the operation mode of the electrical equipment includes:
Recommending the functional modes to be recommended to a user, and determining the operation sequence of the recommended functional modes based on the ranking sequence of the recommended functional modes so as to assist the user in determining the operation mode of the electrical equipment.
Preferably, the number of uses includes: the number of uses acquired in a period of days, weeks, months or years.
Preferably, the usage period includes: the service life acquired by taking a single time, a day, a week, a month or a year as a period.
According to another aspect of the present invention, there is provided a computer-readable storage medium having stored therein a computer program which, when executed by a processor, is capable of implementing the above-described operation mode recommendation method.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
By applying the operation mode recommendation method provided by the invention, the historical use data of the electrical equipment in each function mode is obtained, wherein the historical use data at least comprises the use times of the function modes, the function modes are sorted based on the historical use data, the function mode to be recommended is selected from the function modes according to the sorting result, and the function mode to be recommended is recommended to a user so as to assist the user in determining the operation mode of the electrical equipment. Therefore, automatic recommendation of the running mode of the household appliance can be realized, and the auxiliary user can conveniently and quickly determine the running mode of the household appliance.
Drawings
The scope of the present disclosure may be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. Wherein the included drawings are:
Fig. 1 shows a flowchart of an operation mode recommendation method provided in an embodiment of the present application.
Fig. 2 shows the number of times of use of the air conditioner provided by the embodiment of the present application in each functional mode within one month.
Fig. 3 shows power consumption amounts of the air conditioner provided in the embodiment of the present application when the temperatures are set to different temperatures in the cooling mode in one week.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following will describe in detail an implementation method of the present invention with reference to the accompanying drawings and embodiments, so that how to apply technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented.
In the prior art, statistical data and the smart home are not combined, and automatic recommendation of the smart home operation mode cannot be realized.
Based on the above, the application provides an operation mode recommendation method, which includes acquiring historical use data of the electrical equipment in each function mode, wherein the historical use data at least includes the use times of the function modes; ranking the functional modes based on the historical usage data; and selecting a function mode to be recommended from the plurality of function modes according to the sequencing result, and recommending the function mode to be recommended to the user so as to assist the user in determining the operation mode of the electrical equipment. Therefore, automatic recommendation of the running mode of the household appliance can be realized, and the auxiliary user can conveniently and quickly determine the running mode of the household appliance.
Fig. 1 shows a flowchart of an operation mode recommendation method provided in an embodiment of the present application, where the method includes steps S101 to S104.
In step S101, historical usage data of the electrical appliance in each function mode is acquired, wherein the historical usage data at least includes the number of usage times of the function mode.
In the embodiment of the application, the number of times of use of the electrical equipment in each function mode is obtained, and may be obtained in a cycle of day, week, month or year. As a specific example, the electric appliance is an electric cooker, which has a plurality of functional modes such as porridge cooking, soup cooking and rice cooking, and can obtain the number of times the electric cooker is used in the plurality of functional modes such as porridge cooking, soup cooking and rice cooking within one week.
In order to make the home appliance more intelligently recommend the operation mode to the user, the historical usage data may further include a usage duration of the function mode, and the step may specifically be to obtain the usage times of the electric appliance in each function mode and the usage duration of each function mode in a cycle of single time, day, week, month or year. As a specific example, when the electrical device is an air conditioner, the air conditioner has a plurality of functional modes such as cooling, heating, dehumidifying, air supplying, and automatic, and the number of times of use of the air conditioner in each functional mode and the duration of use of the corresponding functional mode in one month can be obtained.
In addition, the historical usage data may further include power consumption amounts of the function modes, and as another example, the step may be specifically to acquire the number of times of use, the length of use time, and the power consumption amount of the electric appliance in each function mode in a single time, a day, a week, a month, or a year period. The historical use data can be displayed in combination with graphs, for example, the use times of the air conditioner in each functional mode within one month are displayed in combination with graphs, and the graph is shown in fig. 2, so that the use condition of the air conditioner can be observed more conveniently and visually.
in step S102, a plurality of functional modes are sorted based on historical usage data.
the step may specifically be to obtain the number of times of use of the electrical equipment in a plurality of function modes in one week or one month, and sort the plurality of function modes based on the order of at least more times of use in the same time. As a specific example, the number of times of use of the electric cooker in the rice cooking, porridge cooking and soup cooking modes within one week is obtained, and if the rice cooking is 4 times, the porridge cooking is 8 times and the soup cooking is 1 time, the respective function modes are sorted according to the number of times of use as follows: cooking porridge, cooking rice and cooking soup. The functional modes are sequenced according to the historical use times, so that the operating mode of the electrical equipment more suitable for the user can be recommended according to the habit of the user.
In addition, the step may also be to obtain the number of times of use and the duration of use of the plurality of function modes within one day or one week of the electrical apparatus, and when the number of times of use of different function modes is the same, the plurality of function modes may be sorted based on the order of the duration of use from long to short under the condition of the same number of times of use. As a specific example, the number of times of use and the duration of use of the air conditioner in the cooling, heating and dehumidifying modes within one day are obtained, and if the cooling is 1 time, the duration of use is 5 hours, the dehumidifying is 1 time, the duration of use is 1 hour, and the heating is 0 time, then when the number of times of use of the cooling mode and the dehumidifying is the same, each function mode may be sorted according to the duration of use as: refrigerating, dehumidifying and heating.
as another example, in order to obtain more usage information of each function mode of the electrical apparatus, power consumption of the electrical apparatus in each function mode may also be obtained, and the step may further be to obtain power consumption of a plurality of function modes in one day or one week of the electrical apparatus, and sort the plurality of function modes according to the magnitude of the power consumption under the condition of the same number of times of use and the same duration of use. The functional mode with low power consumption has less electric power for the same number of uses and the same duration of use, and thus, the home appliance operation mode with more energy saving can be recommended to the user based on the ranking of the power consumption. In addition, the power consumption amount in each functional mode may be displayed to the user in combination with a graphic, and the daily power consumption amount, the daily power consumption amount for a week, the weekly power consumption amount for a month, or the total power consumption amount for several months may be displayed to the user in combination with a graphic. For example, the power consumption amounts of the air conditioner for one week can be obtained when the cooling temperatures are set to 20 ℃, 16 ℃, 25 ℃ and the like in the cooling mode, respectively, as shown in fig. 3. The power consumption of the electrical equipment is displayed by combining with the graph, so that the user can more intuitively acquire the use condition of the electrical equipment.
in step S103, a function mode to be recommended is selected from a plurality of function modes according to the sorting result.
in this embodiment of the application, this step may specifically be to select, from the sorting results, the functional mode at the specified ranking position as the functional mode to be recommended. For example, the plurality of function modes are sorted in the order of at least more usage times within the same time, and the function mode ranked at the first position is selected from the sorting results as the function mode to be recommended.
As another example, the step may further include determining a plurality of function modes ranked at top in the ranking result, and regarding the determined function mode ranked at the top as the function mode to be recommended. As a specific example, the electrical apparatus has 10 function modes, the number of the function modes to be recommended to be selected is preset to be 3, and then according to the order of the number of times of use of each function mode, the 3 function modes ranked in the first three are selected as the function modes to be recommended.
In step S104, the function mode to be recommended is recommended to the user to assist the user in determining the operation mode of the electrical appliance.
In the embodiment of the application, the functional modes to be recommended are recommended to the user, and the operation sequence of the recommended functional modes is determined based on the ranking sequence of the recommended functional modes, so as to assist the user in determining the operation mode of the electrical equipment.
Compared with the prior art that a required function mode needs to be selected from a plurality of function modes respectively, the embodiment of the application can sort the function modes based on historical data, determine the function mode to be recommended based on the sorting result, and determine the operation sequence of the recommended function based on the ranking sequence of the recommended function mode so as to assist a user in determining the operation mode of the electrical equipment. The function mode to be recommended is recommended to the user, the condition that each function mode needs to be inquired and set when the electric equipment is used every time is avoided, the active recommendation of the operation mode of the electric equipment is achieved, and the user can conveniently and quickly determine the operation mode of the electric equipment according to the recommended operation mode. And the recommended operating sequence of the functional modes is determined based on the ranking sequence of the recommended functional modes, so that the operating modes conforming to the habits of the user can be recommended more intelligently.
The operation mode recommendation method provided by the embodiment of the application obtains historical use data of the electrical equipment in a plurality of function modes, sorts each function mode based on the historical use data, selects a function mode to be recommended from the plurality of function modes according to a sorting result, recommends the function mode to be recommended to a user, and determines an operation sequence of the recommended function mode based on the ranking sequence of the recommended function mode to assist the user in determining the operation mode of the electrical equipment. The method avoids the need of inquiring and setting each function mode when the electrical equipment is used every time, and can realize the automatic generation of a set of function mode recommendation according to the habit of the user, thereby better meeting the actual requirements of the user and enabling the user to conveniently and quickly determine the operation mode of the electrical equipment according to the recommended operation mode.
It should be noted that, after the function mode to be recommended is recommended to the user, the control device of the electrical equipment may also be controlled according to the recommended function mode, so that the control device controls the electrical equipment to operate in the recommended function mode.
As a specific example, according to the historical usage data of the electric cooker, the mode to be recommended obtained for the electric cooker is as follows: and the control equipment recommends the mode to be recommended to the control equipment of the electric cooker, and the control equipment controls the electric cooker to automatically operate the functions of cooking porridge, cooking rice and cooking soup in turn according to the recommended mode. Specifically, when the porridge cooking, rice cooking and soup cooking functions are automatically operated in sequence, a certain delay start time may be preset between two function modes, for example, the porridge cooking function is automatically operated, after the execution of the function is finished, the function display of the electric rice cooker may be controlled to change from "porridge cooking" to "rice cooking", and the "rice cooking" on the function display may be flashed, and after the preset delay start time, the rice cooking function may be started to be operated. Similarly, after the rice cooking function is finished, the function display of the electric cooker can be controlled to change from displaying 'rice cooking' into 'soup cooking', meanwhile, the 'soup cooking' on the function display flickers, and after the preset delay starting time, the rice cooking function is started to operate. As another specific example, when the set parameters of the air conditioner in the cooling mode are different, the obtained to-be-recommended mode of the air conditioner is: and recommending the mode to be recommended to air conditioner control equipment at the refrigerating temperature of 26 ℃ and 4 hours and at the refrigerating temperature of 28 ℃ and 1 hour, and immediately operating the air conditioner in the refrigerating mode at the temperature of 28 ℃ for 1 hour after controlling the air conditioner to operate in the refrigerating mode at the temperature of 26 ℃ for 4 hours by the control equipment. The operation of the electrical equipment is controlled based on the acquired function mode to be recommended, so that the intelligent control of the electrical equipment is realized, and the use convenience of the electrical equipment and the use experience of a user are improved.
On the other hand, the embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program can implement the above operation mode recommendation method when being executed by a processor.
The embodiment of the application provides a processor, wherein the processor is used for running a computer program, and the program executes the above operation mode recommendation method when running.
an embodiment of the present application provides an apparatus, which includes a processor, a computer-readable storage medium, and a program stored on the computer-readable storage medium and executable on the processor, where the processor executes the program to implement the following steps:
Acquiring historical use data of the electrical equipment in each function mode, wherein the historical use data at least comprises the use times of the function modes;
ranking a plurality of functional modes based on the historical usage data;
selecting a function mode to be recommended from the plurality of function modes according to the sorting result;
Recommending the function mode to be recommended to a user so as to assist the user in determining the operation mode of the electrical equipment.
The historical use data may be the number of use times of the function mode, the number of use times of the electrical equipment in each function mode is obtained, and the number of use times of the electrical equipment in each function mode may be obtained in a cycle of day, week, month or year.
in order to make the home appliance more intelligently recommend the operation mode to the user, the historical usage data may further include the usage duration of the function mode, and the usage duration of the home appliance in the plurality of function modes may be obtained, where the usage duration may be a period of a single time, a day, a week, a month, or a year, and the number of times of usage of the home appliance in each function mode and the usage duration in each function mode are obtained.
In addition, the historical usage data may further include power consumption of the function mode, and the power consumption of the electrical equipment in the plurality of function modes may be acquired by acquiring the number of times of use, the duration of use, and the power consumption of the electrical equipment in each function mode in a single time, a day, a week, a month, or a year cycle.
the function modes are sorted based on the historical use data, and the function modes can be sorted based on the sequence that the number of the use times is at least larger in the same time in one week or one month for obtaining the historical use times of the electric equipment in the function modes.
In addition, the function modes are sorted based on the historical use data, the use times and the use duration of the plurality of function modes in one day or one week of the electrical equipment are obtained, and when the use times of different function modes are the same, the function modes can be sorted based on the sequence of the use durations from long to short under the condition of the same use times.
As another example, in order to obtain more usage information of each function mode of the electrical apparatus, power consumption of the electrical apparatus in each function mode may also be obtained, and the sorting of each function mode based on the historical usage data may also be such that power consumption of a plurality of function modes in one day or one week of the electrical apparatus is obtained, and the plurality of function modes are sorted according to the power consumption under the condition of the same number of times of use and the same duration of use.
According to the sorting result, the function mode to be recommended is selected from the plurality of function modes, and the function mode at the designated ranking position can be selected from the sorting result as the function mode to be recommended. For example, the plurality of function modes are sorted in the order of at least more usage times within the same time, and the function mode ranked at the first position is selected from the sorting results as the function mode to be recommended.
As another example, the selecting of the function mode to be recommended from the plurality of function modes may be further a function mode that determines a plurality of ranking positions ranked top in the ranking result; and taking the functional mode of the determined ranking position as the functional mode to be recommended.
And recommending the function modes to be recommended to the user when the function modes to be recommended are determined, and determining the operation sequence of the recommended function modes based on the ranking sequence of the recommended function modes so as to assist the user in determining the operation mode of the electrical equipment.
Compared with the prior art that the required function mode needs to be selected from a plurality of function modes, the function modes can be sorted based on historical data, and a set of function modes to be recommended suitable for the user is determined based on the sorting result. The function mode to be recommended is recommended to the user, the condition that each function mode needs to be inquired and set when the electric equipment is used every time is avoided, the active recommendation of the operation mode of the electric equipment is achieved, and the user can conveniently and quickly determine the operation mode of the electric equipment according to the recommended operation mode.
the present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
Acquiring historical use data of the electrical equipment in each function mode, wherein the historical use data at least comprises the use times of the function modes;
Ranking a plurality of functional modes based on the historical usage data;
Selecting a function mode to be recommended from the plurality of function modes according to the sorting result;
Recommending the function mode to be recommended to a user so as to assist the user in determining the operation mode of the electrical equipment.
the historical use data may be the number of use times of the function mode, the number of use times of the electrical equipment in each function mode is obtained, and the number of use times of the electrical equipment in each function mode may be obtained in a cycle of day, week, month or year.
In order to make the home appliance more intelligently recommend the operation mode to the user, the historical usage data may further include the usage duration of the function mode, and the usage duration of the home appliance in the plurality of function modes may be obtained, where the usage duration may be a period of a single time, a day, a week, a month, or a year, and the number of times of usage of the home appliance in each function mode and the usage duration in each function mode are obtained.
In addition, the historical usage data may further include power consumption of the function mode, and the power consumption of the electrical equipment in the plurality of function modes may be acquired by acquiring the number of times of use, the duration of use, and the power consumption of the electrical equipment in each function mode in a single time, a day, a week, a month, or a year cycle.
The function modes are sorted based on the historical use data, and the function modes can be sorted based on the sequence that the number of the use times is at least larger in the same time in one week or one month for obtaining the historical use times of the electric equipment in the function modes.
In addition, the function modes are sorted based on the historical use data, the use times and the use duration of the plurality of function modes in one day or one week of the electrical equipment are obtained, and when the use times of different function modes are the same, the function modes can be sorted based on the sequence of the use durations from long to short under the condition of the same use times.
as another example, in order to obtain more usage information of each function mode of the electrical apparatus, power consumption of the electrical apparatus in each function mode may also be obtained, and the sorting of each function mode based on the historical usage data may also be such that power consumption of a plurality of function modes in one day or one week of the electrical apparatus is obtained, and the plurality of function modes are sorted according to the power consumption under the condition of the same number of times of use and the same duration of use.
According to the sorting result, the function mode to be recommended is selected from the plurality of function modes, and the function mode at the designated ranking position can be selected from the sorting result as the function mode to be recommended. For example, the plurality of function modes are sorted in the order of at least more usage times within the same time, and the function mode ranked at the first position is selected from the sorting results as the function mode to be recommended.
As another example, the selecting of the function mode to be recommended from the plurality of function modes may be further a function mode that determines a plurality of ranking positions ranked top in the ranking result; and taking the determined functional mode with the selection positions as the functional mode to be recommended.
And recommending the function modes to be recommended to the user when the function modes to be recommended are determined, and determining the operation sequence of the recommended function modes based on the ranking sequence of the recommended function modes so as to assist the user in determining the operation mode of the electrical equipment.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. An operation mode recommendation method, comprising:
Acquiring historical use data of the electrical equipment in each function mode, wherein the historical use data at least comprises the use times of the function modes;
ranking a plurality of functional modes based on the historical usage data;
Selecting a function mode to be recommended from the plurality of function modes according to the sorting result;
recommending the function mode to be recommended to a user so as to assist the user in determining the operation mode of the electrical equipment.
2. The method of claim 1, wherein ranking a plurality of functional modes based on the historical usage data comprises: and sequencing the plurality of functional modes according to the sequence of the number of times of use within the same time.
3. The method of claim 1, wherein the historical usage data further comprises a length of usage of functional modes, and wherein ranking a plurality of functional modes based on the historical usage data comprises: and sequencing the plurality of functional modes based on the sequence of the use duration from long to short under the same use times.
4. The method of claim 3, wherein the historical usage data further includes power consumption for functional modes;
Accordingly, ranking a plurality of functional modes based on the historical usage data further comprises: and under the condition of the same use times and the same use time length, sequencing the plurality of functional modes according to the power consumption.
5. The method according to any one of claims 2 to 4, wherein selecting a functional mode to be recommended from the plurality of functional modes according to the ranking result comprises:
And selecting the functional mode at the designated ranking position from the sorting result as the functional mode to be recommended.
6. The method according to claim 5, wherein selecting the functional mode at a specified ranking position from the sorting results as the functional mode to be recommended comprises:
determining a functional mode of a plurality of ranking positions ranked at the top in the ranking result;
And taking the functional mode of the determined ranking position as the functional mode to be recommended.
7. The method of claim 1, wherein recommending the functional mode to be recommended to a user to assist the user in determining the operating mode of the electrical device comprises:
recommending the functional modes to be recommended to a user, and determining the operation sequence of the recommended functional modes based on the ranking sequence of the recommended functional modes so as to assist the user in determining the operation mode of the electrical equipment.
8. the method of any of claims 2 to 4, wherein the number of uses comprises: the number of uses acquired in a period of days, weeks, months or years.
9. The method according to claim 3 or 4, wherein the usage period comprises: the service life acquired by taking a single time, a day, a week, a month or a year as a period.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, is able to carry out a method of operation mode recommendation according to any one of claims 1 to 9.
CN201910853217.XA 2019-09-10 2019-09-10 operation mode recommendation method and computer-readable storage medium Pending CN110569438A (en)

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CN111536757A (en) * 2020-05-27 2020-08-14 合肥美的电冰箱有限公司 Household appliance use habit reminding method, refrigerator and computer storage medium
CN111538881A (en) * 2020-04-16 2020-08-14 广东好太太科技集团股份有限公司 Activity degree analysis method and equipment based on behavior data and storage medium
CN113311740A (en) * 2021-03-25 2021-08-27 珠海荣邦智能科技有限公司 Control method and device for electrical equipment
CN117492379A (en) * 2023-12-25 2024-02-02 珠海格力电器股份有限公司 Electrical equipment function recommendation method and device, electronic equipment and electrical equipment

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Application publication date: 20191213