CN114079587A - Parameter setting method of electrical equipment, storage medium, server and electrical equipment - Google Patents
Parameter setting method of electrical equipment, storage medium, server and electrical equipment Download PDFInfo
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- CN114079587A CN114079587A CN202010837144.8A CN202010837144A CN114079587A CN 114079587 A CN114079587 A CN 114079587A CN 202010837144 A CN202010837144 A CN 202010837144A CN 114079587 A CN114079587 A CN 114079587A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2807—Exchanging configuration information on appliance services in a home automation network
- H04L12/2809—Exchanging configuration information on appliance services in a home automation network indicating that an appliance service is present in a home automation network
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a parameter setting method of electrical equipment, a storage medium, a server and the electrical equipment, wherein the setting method comprises the following steps: establishing a parameter prediction model; receiving a parameter setting request instruction sent by electrical equipment; acquiring the sending time of the parameter setting request instruction, and acquiring the to-be-set parameters of the electrical equipment from the parameter setting request instruction; and generating a recommended parameter of the parameter to be set according to the parameter prediction model and the sending time, and sending the recommended parameter to the electrical equipment. Therefore, the parameter setting method of the electrical equipment can improve the intelligent degree of the electrical equipment, reduce the manual operation times of a user, enhance the convenience of man-machine interaction and improve the user experience.
Description
Technical Field
The invention relates to the technical field of household appliances, in particular to a parameter setting method of an electric appliance, a computer-readable storage medium, a cloud server and the electric appliance.
Background
At present, many electrical equipment have set up many functions in order to satisfy masses' demand, have various parameters again to supply to set up under each function, for example: time, temperature, volume, mouthfeel, etc. Although the parameter setting mode can meet various function requirements of the public, the parameters are too many, and the complexity of user operation is increased, for example, when the electric cooker makes an appointment, the user needs to press for multiple times to reach the target time, and the operation is complex. Moreover, when the parameters are adjusted each time, the adjustment is started from the recommended parameters, and the user experience is not good.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, an object of the present invention is to provide a method for setting parameters of an electrical device, so as to improve the intelligent degree of the electrical device, reduce the number of manual operations of a user, enhance the convenience of human-computer interaction, and improve the user experience.
The second purpose of the invention is to provide another parameter setting method of the electrical equipment.
A third object of the present invention is to propose a computer-readable storage medium.
The fourth objective of the present invention is to provide a cloud server.
A fifth object of the present invention is to provide an electrical apparatus.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for setting parameters of an electrical device, where the method includes the following steps: establishing a parameter prediction model; receiving a parameter setting request instruction sent by electrical equipment; acquiring the sending time of the parameter setting request instruction, and acquiring the to-be-set parameters of the electrical equipment from the parameter setting request instruction; and generating a recommended parameter of the parameter to be set according to the parameter prediction model and the sending time, and sending the recommended parameter to the electrical equipment.
The method comprises the steps of firstly establishing a parameter prediction model, then obtaining sending time of an instruction and a parameter to be set of the electrical equipment from the parameter setting request instruction after receiving the parameter setting request instruction sent by the electrical equipment, then generating a recommended parameter of the parameter to be set according to the parameter prediction model and the sending time, and sending the recommended parameter to the electrical equipment. Therefore, the parameter setting method of the electrical equipment can improve the intelligent degree of the electrical equipment, reduce the manual operation times of a user, enhance the convenience of man-machine interaction and improve the user experience.
In some examples of the invention, the method further comprises: acquiring the identity information of the electrical equipment from the parameter equipment request instruction; judging whether the electrical equipment is set for the first time according to the identity information; if the electrical equipment sets the parameter to be set for the first time, acquiring a preset parameter value of the parameter to be set in the time period of the sending time, or acquiring a parameter average value of the parameter to be set of other electrical equipment in the time period, and taking the preset parameter value or the parameter average value as the recommended parameter; if the electrical equipment does not set the parameters to be set for the first time, judging whether the electrical equipment sets the parameters to be set for the first time in the time period; if the electrical equipment is set for the first time in the time period, acquiring a preset parameter value of the parameter to be set in the time period, and taking the preset parameter value as the recommended parameter.
In some examples of the present invention, the parameter prediction model includes a plurality of parameter prediction submodels, and the plurality of parameter prediction submodels correspond to a plurality of preset time periods one by one, wherein if the electrical equipment sets the parameter to be set for the first time in the time period, a parameter prediction value is obtained according to the parameter prediction submodel of the parameter to be set in at least one adjacent time period of the time period, and the recommended parameter is generated according to the parameter prediction value; if the electrical equipment does not set the parameter to be set for the first time in the time period, obtaining a parameter predicted value according to the parameter prediction sub-model of the parameter to be set in the time period, and generating the recommended parameter according to the predicted value; and the parameter prediction submodel is established according to historical parameter setting information of the electrical equipment in a corresponding time period.
In some examples of the invention, the generating the recommendation parameter from the predicted value includes: acquiring the type of the parameter to be set; if the parameter to be set is a first type parameter, taking the predicted value as the recommended parameter, wherein the first type parameter is a non-time parameter; and if the parameter to be set is a second type parameter, generating the recommended parameter according to the predicted value and the sending time, wherein the second type parameter is a time parameter.
In some examples of the invention, deriving the parameter prediction value from the parameter prediction submodel comprises: calculating the average value of all historical parameter setting information to obtain a first average value, and taking the first average value as the predicted value; or acquiring a maximum value and a minimum value from all historical parameter setting information, calculating an average value of the maximum value and the minimum value to obtain a second average value, and taking the second average value as the predicted value; or all setting values within a first preset time from the time of the sending time are obtained from all historical parameter setting information, the average value of all the setting values is calculated to obtain a third average value, and the third average value is used as the predicted value.
In order to achieve the above object, a second embodiment of the present invention provides a method for setting parameters of an electrical device, wherein the method includes the following steps: receiving a parameter setting request instruction input by a user, wherein the parameter setting request instruction comprises a parameter to be set; sending the parameter setting request instruction to a cloud server so that the cloud server generates recommended parameters of the parameters to be set by using the parameter setting method of the electrical equipment in the embodiment; receiving and displaying the recommended parameters; and setting the parameters to be set based on the recommended parameters.
In the embodiment of the present invention, a user may input a parameter setting request instruction, where the parameter setting request instruction includes a parameter to be set, and after receiving the parameter setting request instruction, the cloud server generates a recommended parameter of the parameter to be set by using the parameter setting method of the electrical equipment in the above embodiment, and sets the parameter to be set based on the recommended parameter. Therefore, the parameter setting method of the electrical equipment can improve the intelligent degree of the electrical equipment, reduce the manual operation times of a user, enhance the convenience of man-machine interaction and improve the user experience.
In some examples of the present invention, the setting the parameter to be set based on the recommended parameter includes: judging whether a starting instruction is received within first preset time after the recommended parameters are displayed or not, or whether a parameter adjusting instruction is received or not; if the starting instruction is received within the first preset time or the parameter adjusting instruction is not received, taking the recommended parameter as a control parameter of the electrical equipment, and sending the control parameter to the cloud server so that the cloud server establishes a preset parameter model based on the control parameter; if the starting instruction is not received within the first preset time and the parameter adjusting instruction is received, adjusting the recommended parameter according to the parameter adjusting instruction, and sending the adjusted recommended parameter to the cloud server, so that the cloud server establishes a preset parameter model based on the adjusted recommended parameter.
To achieve the above object, a third aspect of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the parameter setting method of the first electrical apparatus according to the above embodiment, or implements the parameter setting method of the second electrical apparatus according to the above embodiment.
The computer-readable storage medium of the embodiment of the present invention may implement the parameter setting method for the first or second electrical equipment described in the above embodiment by executing the computer program stored thereon, so as to improve the intelligent degree of the electrical equipment, reduce the number of manual operations of the user, enhance the convenience of human-computer interaction, and improve the user experience.
In order to achieve the above object, a fourth aspect of the present invention provides a cloud server, where the cloud server includes an establishing module, configured to establish a parameter prediction model; the receiving module is used for receiving a parameter setting request instruction sent by the electrical equipment; the acquisition module is used for acquiring the sending time of the parameter setting request instruction and acquiring the parameters to be set of the electrical equipment from the parameter setting request instruction; the generation module is used for generating the recommendation parameters of the parameters to be set according to the parameter prediction model and the sending time; and the sending module is used for sending the recommended parameters to the electrical equipment.
The embodiment of the invention is provided with an establishing module, a receiving module, an obtaining module, a generating module and a sending module, wherein a parameter prediction model is established through the establishing module, a parameter setting request instruction sent by electrical equipment is received through the receiving module, sending time of the request instruction and parameters to be set of the electrical equipment are obtained from the request instruction through the obtaining module, then recommended parameters of the parameters to be set are generated through the generating module according to the parameter prediction model and the sending time, and finally the recommended parameters are sent to the electrical equipment through the sending module and are set according to the recommended parameters. Therefore, the cloud server can improve the intelligent degree of electrical equipment, reduce the manual operation times of a user, enhance the convenience of man-machine interaction and improve the user experience.
In order to achieve the above object, a fifth embodiment of the present invention provides an electrical apparatus, which includes a first receiving unit, configured to receive a parameter setting request instruction input by a user, where the parameter setting request instruction includes a parameter to be set; a sending unit, configured to send the parameter setting request instruction to a cloud server, so that the cloud server generates a recommended parameter of the parameter to be set by using the parameter setting method of the electrical device in the above embodiment; the second receiving unit is used for receiving the recommendation parameters; the display unit is used for displaying the recommended parameters; and the setting unit is used for setting the parameters to be set based on the recommended parameters.
In the embodiment of the invention, a parameter setting request instruction is received through a first receiving unit, wherein the request instruction comprises a parameter to be set, the sending unit sends the parameter setting request instruction to a cloud server so that the cloud server generates a recommended parameter of the parameter to be set by using the parameter setting method of the electrical equipment in the embodiment, then the recommended parameter is received through a second receiving unit and displayed through a display unit, and finally the parameter to be set is set by using a setting unit based on the recommended parameter. From this, this electrical equipment can improve intelligent degree, reduces user's manual operation number of times, strengthens human-computer interaction's convenience, improves user experience simultaneously.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a flowchart of a parameter setting method of appliance setting according to an embodiment of the present invention;
FIG. 2 is a flowchart of a recommended parameter generation method for a parameter to be set according to an embodiment of the present invention;
fig. 3 is a flowchart of a parameter setting method of an electric device according to another embodiment of the present invention;
fig. 4 is a block diagram of a cloud server according to an embodiment of the present invention;
fig. 5 is a block diagram of the electrical appliance of the embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A parameter setting method of an electric device, a storage medium, a server, and an electric device according to an embodiment of the present invention are described below with reference to the drawings.
Fig. 1 is a flowchart of a parameter setting method of appliance setting according to an embodiment of the present invention.
In this embodiment, as shown in fig. 1, the parameter setting method of the electrical appliance includes the steps of:
and S10, establishing a parameter prediction model.
Specifically, in this example, twenty-four hours a day may be evenly divided into several periods, such as 12 periods, respectively denoted as periods 1-12, where each period is two hours. For example, the time period from 4:00 to 6:00 is time period 3. Of course, twenty-four hours a day may be divided into 24 periods, 48 periods, etc. for improved accuracy. It can be understood that the shorter the time occupied by each time period, the higher the accuracy; the longer the time taken for each time period, the lower the accuracy. It should be noted that the user can select different accuracies according to specific situations. In the prediction model, different time periods respectively correspond to different recommendation parameters, after a time period for a user to input an instruction is identified, the recommendation parameters corresponding to the time period can be obtained through the prediction model, and are recommended to the user, so that the user can confirm or fine-tune.
And S20, receiving a parameter setting request instruction sent by the electric equipment.
Specifically, in the using process of the electrical equipment, a user can firstly perform networking setting on the electrical equipment, so that the electrical equipment can normally send and receive instructions. In this example, it is stated that the electric appliance is an electric rice cooker, and the user may select a scheduled time when the electric rice cooker cooks rice, and start cooking when the scheduled time is reached, so the parameter setting request instruction may be information requesting setting of a cooking scheduled time.
And S30, acquiring the sending time of the parameter setting request instruction, and acquiring the to-be-set parameters of the electrical equipment from the parameter setting request instruction.
Specifically, after the server obtains a parameter setting request instruction sent by the electrical appliance, the server may obtain a sending time of the request instruction. It can be understood that an electrical appliance is usually started to be used by a user within a certain time period, for example, an electric rice cooker can generally start to cook rice in the first hour (such as 7: 00-8: 00) of a rice point, a washing machine can generally start to work at about 10 o' clock in the evening, and of course, the electric rice cooker has a direct relationship with the living habits of the user and can be subjected to statistics and adaptive modification according to the using habits of the user. And after the sending time of the request instruction is obtained, obtaining the parameter to be set of the electrical equipment according to the parameter setting request instruction, wherein the parameter to be set is the type of the parameter to be set, such as the reserved time. Optionally, after the sending time of the request instruction is obtained, the sending time may be compared with a time period in which the user uses the electrical equipment at ordinary times, and whether the sending time falls in the time period is determined, and the sending time is saved at the same time, so that when the time period needs to be updated, the time period may be updated according to the saved sending times.
And S40, generating a recommended parameter of the parameter to be set according to the parameter prediction model and the sending time, and sending the recommended parameter to the electrical equipment.
Specifically, a time period of the time may be determined according to the sending time, and then the time period is substituted into the parameter prediction model, so as to generate a recommended parameter of the parameter to be set, and send the recommended parameter to the electrical equipment. Further, the recommended parameters are sent to the electrical equipment, so that the electrical equipment displays the recommended parameters, and the parameters to be set are set based on the recommended parameters. Optionally, when the user obtains the recommended parameter displayed by the electrical equipment, the user can confirm whether the recommended parameter is satisfied again, and if the recommended parameter is not satisfied, the user can set the parameter to be set based on the recommended parameter to obtain the final set parameter for starting the electrical equipment. It can be understood that the recommended parameters displayed on the electrical equipment are the same as or have a small difference from the final set parameters obtained by the user through resetting, and the user only needs to fine tune to obtain the final set parameters. Optionally, a preset time may be set, and if the recommended parameter is sent to the electrical equipment for the preset time, the electrical equipment does not receive the confirmation information or the adjustment information of the user, and the electrical equipment directly operates according to the recommended parameter.
In some examples of the present invention, the identity information of the electrical equipment may be obtained from the parameter device request instruction, and it is determined whether the electrical equipment performs setting of the parameter to be set for the first time according to the identity information, as shown in fig. 2, if the electrical equipment performs setting of the parameter to be set for the first time, a preset parameter value of the parameter to be set in a time period where the transmission time is located is obtained, or a parameter average value of the parameter to be set of other electrical equipment in the time period where the transmission time is located is obtained, and the preset parameter value or the parameter average value is used as a recommended parameter; if the electrical equipment does not set the parameters to be set for the first time, judging whether the electrical equipment sets the parameters to be set for the first time in the time period; if the electrical equipment is set for the first time in the time period, acquiring a preset parameter value of the parameter to be set in the time period, and taking the preset parameter value as a recommended parameter.
Specifically, after obtaining the identity information of the electrical equipment, it may be determined whether a parameter setting request of the electrical equipment for the parameter to be set is received for the first time according to the identity information, and then the recommended parameter of the parameter to be set is generated. For example, if the current time is the first time, the corresponding preset value is taken as a recommended parameter; if not, determining the recommended parameters according to the historical information of the electrical equipment. Optionally, the electrical equipment may upload the operation information to the cloud server in the operation process, and then the history information may include the operating state, the operation mode, and the like of the electrical equipment.
It can be understood that, when a user uses a certain electrical device for the first time, or a certain electrical device is used for the first time in a network, since the usage time record of the electrical device is not stored or saved before, when the electrical device sets a parameter to be set for the first time, a preset parameter value of the parameter to be set in the time period in which the parameter is located may be obtained, or a parameter average value of the parameter to be set of other electrical devices in the time period in which the parameter is located, and the preset parameter value or the parameter average value is used as a recommended parameter. It should be noted that the other electrical equipment may be electrical equipment with the same function as the electrical equipment for which the parameter setting to be performed for the first time is performed, for example, when the electrical equipment for which the parameter setting to be performed for the first time is an induction cooker, the other electrical equipment may be other induction cookers of the same operator or the same type.
In addition, if the electric equipment does not set the parameters to be set for the first time, whether the electric equipment sets the parameters to be set for the first time in the period is further judged.
Specifically, as shown in fig. 2, if the electrical device is first set for the parameter to be set in the time period, the preset parameter value of the parameter to be set in the time period is obtained, and the preset parameter value is used as the recommended parameter. For example, the user never uses the electrical device according to a certain parameter in the time period 3, and there is no history setting information of the parameter, and when the user uses the electrical device according to the parameter in the time period 3 for the first time, there is no history setting information of the parameter in the time period. At this time, a preset parameter value of the parameter in the time period may be obtained, and the preset parameter value may be used as the recommended parameter.
In some examples, the parameter prediction model includes a plurality of parameter prediction submodels, the plurality of parameter prediction submodels correspond to a plurality of preset time periods one by one, wherein, as shown in fig. 2, if the electrical equipment is set for the first time in the time period in which the electrical equipment is located, the parameter prediction value is obtained according to the parameter prediction submodel of the parameter to be set in at least one adjacent time period in the time period in which the parameter is located, and the recommended parameter is generated according to the parameter prediction value; if the electrical equipment does not set the parameters to be set for the first time in the time period, obtaining parameter predicted values according to the parameter prediction submodel of the parameters to be set in the time period, and generating recommended parameters according to the predicted values;
specifically, the parameter prediction submodel may be established according to historical parameter setting information of the electrical equipment at a corresponding time period, so that when the electrical equipment does not set the parameter to be set for the first time and does not set the parameter to be set for the first time at the time period, the parameter prediction value is obtained by the parameter prediction submodel set by the historical parameter at the time period, and the recommended parameter is generated according to the parameter prediction value. Specifically referring to fig. 2, if the electrical equipment sets the parameter to be set for the first time in the time period, the parameter prediction submodel of the parameter to be set in at least one adjacent time period in the time period may be obtained to obtain a parameter prediction value, and a recommended parameter is generated according to the parameter prediction value; and if the electrical equipment does not set the parameters to be set for the first time in the time period, acquiring the parameter predicted value of the prediction submodel of the parameters to be set in the time period, and generating recommended parameters according to the predicted value. For example, the user never uses the electrical equipment according to a certain parameter in the time period 3, when the user uses the electrical equipment according to the parameter in the time period 3 for the first time, the historical setting information of the parameter is not available in the time period, at this time, the parameter prediction submodel of the parameter in at least one nearby time period (such as the time period 2 and/or the time period 4) of the time period in which the parameter is located may be obtained to obtain a parameter prediction value, and the recommended parameter is generated according to the parameter prediction value. If the user uses the electrical equipment according to the parameter in the time period 3 before, the parameter predicted value of the prediction sub-model in the time period can be directly obtained when the user uses the electrical equipment according to the parameter in the time period 3 again, and the initial value recommended parameter is generated according to the parameter predicted value.
In some examples, generating recommendation parameters from the predicted values may include: acquiring the type of a parameter to be set; if the parameter to be set is a first type parameter, taking the predicted value as a recommended parameter, wherein the first type parameter is a non-time parameter; and if the parameter to be set is a second type parameter, generating a recommended parameter according to the predicted value and the sending time, wherein the second type parameter is a time parameter.
Specifically, if the parameter to be set is a non-time type parameter, such as a temperature type parameter, the predicted value is directly used as the recommended parameter, for example, after the rice cooker finishes cooking at 11:00-13:00, the user often sets the holding temperature to about 75 ℃ each time, and if the user sets the holding temperature at 12:00, the 75 ℃ can be directly used as the recommended parameter. If the parameter to be set is a time type parameter, for example, the appointment time, simple calculation needs to be performed with the sending time of the parameter setting request instruction to obtain the recommended parameter of the electrical equipment more conforming to the living habits of the user, for example, the user often uses an electric cooker to reserve about 6 am of the next morning at 18 pm to 0 pm in the previous day to finish cooking, that is, the appointment ending times corresponding to the time period 10-12 are all 6 am of the next day, if the time of the parameter requesting instruction for reserving cooking is sent by the user is 19: 00, belonging to the time period of 10, cooking is finished by 6:00 in the next morning, the corresponding reservation time length is 11 hours, and at the moment, 11 hours can be taken as a recommended parameter; similarly, if 21: 00 to reserve, the reserved time is 9 hours, and at this time, 11 hours can be used as a recommended parameter. Of course, the user may further adjust the setting for the parameter to be set based on the recommended parameter.
In some embodiments of the present invention, obtaining the parameter prediction value according to the parameter prediction submodel may include: calculating the average value of all historical parameter setting information to obtain a first average value, and taking the first average value as a predicted value, for example, obtaining all heat preservation temperatures set in the time interval T from the use of the electric cooker to the present, and further calculating the average value of all the heat preservation temperatures to be taken as the predicted value; or obtaining the maximum value and the minimum value from all the historical parameter setting information, calculating the average value of the maximum value and the minimum value to obtain a second average value, taking the second average value as a predicted value, for example, obtaining the heat preservation temperature set in the time interval T in the last month, further extracting the maximum value and the minimum value from all the heat preservation temperatures, and calculating the average value of the maximum value and the minimum value as the predicted value; or all the setting values within a first preset time from the sending time are obtained from all the historical parameter setting information, the average value of all the setting values is calculated to obtain a third average value, the third average value is used as a predicted value, for example, the heat preservation temperature set in the time period T in the last month can be obtained, and then the average value of all the heat preservation temperatures is calculated and used as the predicted value.
It should be noted that, for a non-numerical parameter, the non-numerical parameter may be subjected to numerical processing, and then calculated by using the above average value method; and counting the occurrence probability of each non-numerical parameter value, taking the maximum probability as a predicted value, and further taking the maximum probability as a recommended parameter to send to the electrical equipment.
In addition, it should be noted that the history setting information may include not only one parameter value, but also an operation mode of the electrical equipment, environment information, and the like. For example, for an electric cooker, when a user starts the electric cooker to cook rice and selects an extra-fast cooking mode and then selects a taste, the electric cooker can send a taste setting request to a cloud server, the cloud server can obtain historical set tastes corresponding to all the extra-fast cooking modes in a time period 6, and the taste with the largest occurrence frequency is sent to the electric cooker as a recommended parameter and displayed on the electric cooker. For another example, for an air conditioner, when a user starts the air conditioner for cooling at 11:50 noon in a certain day and sets a target temperature, the air conditioner may send a target temperature setting request to the cloud server, where the request may include temperature and/or humidity information of an environment where the air conditioner is currently located, the cloud server may adjust all cooling modes in a time interval 6, and the difference between the historical temperature and the current temperature is small, and the corresponding historical set target temperature may be obtained by using the above average method according to the historical set target temperature, and sent to the air conditioner.
In summary, the parameter setting method of the electrical equipment in the embodiment of the invention can improve the intelligent degree of the electrical equipment, reduce the manual operation times of the user, enhance the convenience of human-computer interaction, and improve the user experience.
Fig. 3 is a flowchart of a parameter setting method of an electric device according to another embodiment of the present invention.
As shown in fig. 3, the method comprises the steps of:
s100, receiving a parameter setting request instruction, wherein the parameter setting request instruction comprises a parameter to be set.
S200, sending the parameter setting request instruction to the cloud server, so that the cloud server generates the recommended parameter of the parameter to be set by using the parameter setting method of the electrical device in the above embodiment.
And S300, receiving and displaying the recommended parameters.
And S400, setting the parameters to be set based on the recommended parameters.
Specifically, after a user inputs a parameter setting request instruction, the electrical equipment may receive the parameter setting request instruction and send the parameter setting request instruction to the cloud server, after the cloud server receives the parameter setting request instruction sent by the electrical equipment, the cloud server generates a recommended parameter of a parameter to be set by using the parameter setting method of the electrical equipment in the above embodiment, after the cloud server generates the recommended parameter, the recommended parameter is sent to the electrical equipment, and after the electrical equipment receives the recommended parameter, the electrical equipment displays the recommended parameter, and sets the parameter to be set based on the recommended parameter.
In some examples of the invention, setting the parameter to be set based on the recommended parameter includes: judging whether a starting instruction input by a user is received within first preset time after the recommended parameters are displayed or not, or whether a parameter adjusting instruction input by the user is received or not; if the starting instruction is received within the first preset time or the parameter adjusting instruction is not received, taking the recommended parameter as a control parameter of the electrical equipment, and sending the control parameter to the cloud server so that the cloud server establishes a preset parameter model based on the control parameter; if the starting instruction is not received within the first preset time and the parameter adjusting instruction is received, the recommended parameter is adjusted according to the parameter adjusting instruction, and the adjusted recommended parameter is sent to the cloud server, so that the cloud server establishes a preset parameter model based on the adjusted recommended parameter.
Specifically, the first preset time may be within 2-10s, for example, may be 3 s. Within the first preset time such as 3s after the recommended parameters are displayed, if a starting instruction input by the user is received, the recommended parameters displayed by the electrical equipment by the user are satisfied, and adjustment is not needed, the electrical equipment can be directly and quickly controlled by taking the recommended parameters as control parameters. If the starting instruction is not received and the parameter adjusting instruction is not received within the first preset time such as 3s after the recommended parameter is displayed, the fact that the user is satisfied with the recommended parameter displayed by the electric equipment is also shown, adjustment is not needed, only operation is not needed, and at the moment, the electric equipment automatically takes the recommended parameter as the control parameter only when the first preset time is reached. Within a first preset time such as 3s after the recommended parameters are displayed, if the starting instruction is not received and the parameter adjusting instruction is received, which indicates that the currently displayed recommended parameters are not the control values expected by the user, the user can perform adjusting operation based on the recommended parameters as required. Since the recommended parameters are close to the user's desired values, the required operation is simple when adjusting.
Therefore, the parameter setting method of the electrical equipment can improve the intelligent degree of the electrical equipment, reduce the manual operation times of a user, enhance the convenience of man-machine interaction and improve the user experience.
Further, the present invention proposes a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the parameter setting method of the electric appliance in the above-described embodiments.
The computer-readable storage medium of the embodiment of the invention, when the computer program corresponding to the parameter setting method of the electrical equipment stored on the computer-readable storage medium is executed by the processor, can improve the intelligent degree of the electrical equipment, reduce the manual operation times of a user, enhance the convenience of human-computer interaction and simultaneously improve the user experience.
Fig. 4 is a block diagram of a cloud server according to an embodiment of the present invention.
Further, the present invention provides a cloud server, as shown in fig. 4, the cloud server 100 includes an establishing module 101, a receiving module 102, an obtaining module 103, a generating module 104, and a sending module 105.
The establishing module 101 is used for establishing a parameter prediction model; the receiving module 102 is configured to receive a parameter setting request instruction sent by an electrical device; the obtaining module 103 is configured to obtain sending time of the parameter setting request instruction, and obtain a parameter to be set of the electrical device from the parameter setting request instruction; the generating module 104 is configured to generate a recommended parameter of the parameter to be set according to the parameter prediction model and the sending time; the sending module 105 is configured to send the recommended parameter to the electrical device.
Specifically, in this example, the establishing module 101 may divide twenty-four hours a day into several periods, such as 12 periods, respectively denoted as periods 1-12, wherein each period is two hours. For example, the time period from 4:00 to 6:00 is time period 3. Of course, twenty-four hours a day may be divided into 24 periods, 48 periods, etc. for improved accuracy. It can be understood that the shorter the time occupied by each time period, the higher the accuracy; the longer the time taken for each time period, the lower the accuracy. It should be noted that the user can select different accuracies according to specific situations. In the prediction model, different time periods respectively correspond to different recommendation parameters, after a time period for a user to input an instruction is identified, the recommendation parameters corresponding to the time period can be obtained through the prediction model, and are recommended to the user, so that the user can confirm or fine-tune.
Specifically, in the using process of the electrical equipment, a user can firstly perform networking setting on the electrical equipment, so that the electrical equipment can normally send and receive instructions. In this example, it is stated that the electric appliance is an electric rice cooker, and the user may select a scheduled time when the electric rice cooker cooks rice, and start cooking when the scheduled time is reached, so the parameter setting request instruction may be information requesting setting of a cooking scheduled time.
Specifically, after the receiving module 102 receives a parameter setting request instruction sent by the electrical device, the obtaining module 103 may obtain a sending time of the request instruction. It can be understood that an electrical appliance is usually started to be used by a user within a certain time period, for example, an electric rice cooker can generally start to cook rice in the first hour (such as 7: 00-8: 00) of a rice point, a washing machine can generally start to work at about 10 o' clock in the evening, and of course, the electric rice cooker has a direct relationship with the living habits of the user and can be subjected to statistics and adaptive modification according to the using habits of the user. After obtaining the sending time of the request instruction, the obtaining module 103 further obtains a parameter to be set of the electrical device according to the parameter setting request instruction, where the parameter to be set is a parameter type to be set, such as a reserved time. Optionally, after the sending time of the request instruction is obtained, the sending time may be compared with a time period in which the user uses the electrical equipment at ordinary times, and it is determined whether the sending time falls within the time period, and the sending time is saved at the same time, so that when the time period needs to be updated, the time period may be updated according to the saved sending times.
After obtaining the sending time, the generating module 104 may generate the recommended parameter of the parameter to be set according to the parameter prediction model and the sending time, specifically, determine a time period of the time according to the sending time, then substitute the time period into the parameter prediction model, thereby generating the recommended parameter of the parameter to be set, and send the recommended parameter to the electrical equipment through the sending module 105. Further, after the sending module 105 sends the recommended parameter to the electrical equipment, the electrical equipment may be caused to display the recommended parameter, and the parameter to be set is set based on the recommended parameter. Optionally, when the user obtains the recommended parameter displayed by the electrical equipment, the user can confirm whether the recommended parameter is satisfied again, and if the recommended parameter is not satisfied, the user can set the parameter to be set based on the recommended parameter to obtain the final set parameter for starting the electrical equipment. It can be understood that the recommended parameters displayed on the electrical equipment are the same as or have a small difference from the final set parameters obtained by the user through resetting, and the user only needs to fine tune to obtain the final set parameters. Optionally, a preset time may be set, and if the recommended parameter is sent to the electrical equipment for the preset time, the electrical equipment does not receive the confirmation information or the adjustment information of the user, and the electrical equipment directly operates according to the recommended parameter.
In addition, in this example, the parameter to be set may be a time difference between the transmission time of the parameter setting request instruction and the minimum time point of the above-described period. For example, when the sending time of the parameter setting request instruction obtained to the electric cooker is 6:00, which is different from the minimum time point 7:00 of the time period when the user uses the electric cooker at ordinary times by one hour, the parameter to be set may be to delay the starting of the electric cooker by one hour.
Specifically, in this example, the building module 101 may divide twenty-four hours a day evenly into several time periods and build the parametric prediction model, such as into 12 time periods, respectively denoted as time periods 1-12, where each time period is two hours. For example, if the transmission time of the parameter setting request instruction is 6:00, the period in which the transmission time is present is period 3. After the obtaining module 103 obtains the sending time of the parameter setting request instruction, the generating module 104 may be used to generate the recommended parameter of the parameter to be set according to the parameter prediction model and the sending time. Optionally, the electrical equipment may upload the operation information to the cloud server in the operation process, and the cloud server records history information of the electrical equipment, where the history information may include an operating state, an operation mode, and the like of the electrical equipment.
Further, the sending module 105 may send the recommended parameter to the electrical device, so that the electrical device displays the recommended parameter and sets the parameter to be set based on the recommended parameter. Optionally, when the user obtains the recommended parameter displayed by the electrical equipment, the user can confirm whether the recommended parameter is satisfied again, and if the recommended parameter is not satisfied, the user can set the parameter to be set based on the recommended parameter to obtain the final set parameter for starting the electrical equipment. It can be understood that the recommended parameters displayed on the electrical equipment are the same as or have a small difference from the final set parameters obtained by the user through resetting, and the user only needs to fine tune to obtain the final set parameters.
In some examples of the present invention, the obtaining module 103 obtains the identity information of the electrical device from the parameter device request instruction; judging whether the electrical equipment is set for the first time according to the identity information; if the electrical equipment sets the parameter to be set for the first time, acquiring a preset parameter value of the parameter to be set in the time period of the sending time, or acquiring a parameter average value of the parameter to be set of other electrical equipment in the time period, and taking the preset parameter value or the parameter average value as an initial value; if the electrical equipment does not set the parameters to be set for the first time, judging whether the electrical equipment sets the parameters to be set for the first time in the time period; if the electrical equipment is set for the first time in the time period, acquiring a preset parameter value of the parameter to be set in the time period, and taking the preset parameter value as a recommended parameter.
In some examples of the present invention, the parameter prediction model includes a plurality of parameter prediction submodels, the plurality of parameter preset submodels correspond to the plurality of preset time periods one to one, wherein if the electrical equipment is set for the first time in the time period, the parameter prediction value is obtained according to the parameter prediction submodel of the to-be-set parameter in at least one adjacent time period of the time period, and the recommended parameter is generated according to the parameter prediction value; if the electrical equipment does not set the parameters to be set for the first time in the time period, obtaining parameter predicted values according to the parameter prediction submodel of the parameters to be set in the time period, and generating recommended parameters according to the predicted values; the parameter prediction submodel is established according to historical parameter setting information of the electrical equipment in a corresponding time period.
In some examples of the invention, generating the recommendation parameter from the predicted value comprises: the obtaining module 103 obtains the type of the parameter to be set; if the parameter to be set is a first type parameter, taking the predicted value as a recommended parameter, wherein the first type parameter is a non-time parameter; and if the parameter to be set is a second type parameter, generating a recommended parameter according to the predicted value and the sending time, wherein the second type parameter is a time parameter.
In some examples of the invention, deriving the parameter predictor from the parameter predictor submodel comprises: calculating the average value of all historical parameter setting information to obtain a first average value, and taking the first average value as a predicted value; or acquiring a maximum value and a minimum value from all historical parameter setting information, calculating the average value of the maximum value and the minimum value to obtain a second average value, and taking the second average value as a predicted value; or all setting values within a first preset time from the sending time are obtained from all historical parameter setting information, the average value of all the setting values is calculated to obtain a third average value, and the third average value is used as a predicted value.
It should be noted that, for other specific implementation methods of the cloud server in the embodiment of the present invention, reference may be made to specific implementation manners of the parameter setting method of the electrical device in the above embodiment of the present invention.
Fig. 5 is a block diagram of the electrical appliance of the embodiment of the present invention.
Further, the present invention proposes an electric appliance 200, and as shown in fig. 5, the electric appliance 200 includes a first receiving unit 201, a transmitting unit 202, a second receiving unit 203, a display unit 204, and a setting unit 205.
The first receiving unit 201 is configured to receive a parameter setting request instruction input by a user, where the parameter setting request instruction includes a parameter to be set; the sending unit 202 is configured to send the parameter setting request instruction to the cloud server, so that the cloud server generates a recommended parameter of the parameter to be set by using the parameter setting method of the electrical device in the above embodiment; the second receiving unit 203 is configured to receive the recommendation parameter; the display unit 204 is used for displaying the recommendation parameters; the setting unit 205 is configured to set the parameter to be set based on the recommended parameter.
Specifically, referring to fig. 5, first, a parameter setting request instruction input by a user is received through the first receiving unit 201, where the parameter setting request instruction includes a parameter to be set, and then the parameter setting request instruction is sent to the cloud server through the sending unit 202, so that the cloud server 100 generates a recommended parameter of the parameter to be set according to the parameter setting request instruction. After the cloud server generates the recommendation parameter, the second receiving unit 203 receives the recommendation parameter and displays the recommendation parameter through the display unit 204, and the setting unit 205 sets the parameter to be set based on the recommendation parameter.
In some examples of the present invention, the setting unit 205 setting the parameter to be set based on the recommended parameter includes: judging whether a starting instruction input by a user is received within first preset time after the recommended parameters are displayed or not, or whether a parameter adjusting instruction input by the user is received or not; if the starting instruction is received within the first preset time or the parameter adjusting instruction is not received, taking the recommended parameter as a control parameter of the electrical equipment, and sending the control parameter to the cloud server so that the cloud server establishes a preset parameter model based on the control parameter; if the starting instruction is not received within the first preset time and the parameter adjusting instruction is received, the recommended parameter is adjusted according to the parameter adjusting instruction, and the adjusted recommended parameter is sent to the cloud server, so that the cloud server establishes a preset parameter model based on the adjusted recommended parameter.
It should be noted that, for other specific implementation methods of the electrical equipment according to the embodiments of the present invention, reference may be made to a specific implementation method of another parameter setting method of the electrical equipment according to the above embodiments of the present invention.
From this, the electrical equipment of this embodiment can improve intelligent degree, reduces user's manual operation number of times, strengthens human-computer interaction's convenience, improves user experience simultaneously.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A parameter setting method of electrical equipment is characterized by comprising the following steps:
establishing a parameter prediction model;
receiving a parameter setting request instruction sent by electrical equipment;
acquiring the sending time of the parameter setting request instruction, and acquiring the to-be-set parameters of the electrical equipment from the parameter setting request instruction;
and generating a recommended parameter of the parameter to be set according to the parameter prediction model and the sending time, and sending the recommended parameter to the electrical equipment.
2. The method of claim 1, wherein the method further comprises:
acquiring the identity information of the electrical equipment from the parameter equipment request instruction;
judging whether the electrical equipment is set for the first time according to the identity information;
if the electrical equipment sets the parameter to be set for the first time, acquiring a preset parameter value of the parameter to be set in the time period of the sending time, or acquiring a parameter average value of the parameter to be set of other electrical equipment in the time period, and taking the preset parameter value or the parameter average value as the recommended parameter;
if the electrical equipment does not set the parameters to be set for the first time, judging whether the electrical equipment sets the parameters to be set for the first time in the time period;
if the electrical equipment is set for the first time in the time period, acquiring a preset parameter value of the parameter to be set in the time period, and taking the preset parameter value as the recommended parameter.
3. The method of claim 2, wherein the parametric prediction model comprises a plurality of parametric predictor models, the plurality of parametric predictor models corresponding one-to-one to a plurality of preset time periods, wherein,
if the electrical equipment sets the parameters to be set for the first time in the time period, obtaining a parameter predicted value according to a parameter prediction sub-model of the parameters to be set in at least one adjacent time period of the time period, and generating the recommended parameters according to the parameter predicted value;
if the electrical equipment does not set the parameter to be set for the first time in the time period, obtaining a parameter predicted value according to the parameter prediction sub-model of the parameter to be set in the time period, and generating the recommended parameter according to the predicted value;
and the parameter prediction submodel is established according to historical parameter setting information of the electrical equipment in a corresponding time period.
4. The method of claim 3, wherein the generating the recommendation parameter based on the predicted value comprises:
acquiring the type of the parameter to be set;
if the parameter to be set is a first type parameter, taking the predicted value as the recommended parameter, wherein the first type parameter is a non-time parameter;
and if the parameter to be set is a second type parameter, generating the recommended parameter according to the predicted value and the sending time, wherein the second type parameter is a time parameter.
5. The method of claim 3 or 4, wherein deriving the parameter prediction values from the parameter prediction submodel comprises:
calculating the average value of all historical parameter setting information to obtain a first average value, and taking the first average value as the predicted value; or
Acquiring a maximum value and a minimum value from all historical parameter setting information, calculating an average value of the maximum value and the minimum value to obtain a second average value, and taking the second average value as the predicted value; or
And acquiring all setting values within a first preset time from all historical parameter setting information, calculating the average value of all the setting values to obtain a third average value, and taking the third average value as the predicted value.
6. A parameter setting method of electrical equipment is characterized by comprising the following steps:
receiving a parameter setting request instruction, wherein the parameter setting request instruction comprises a parameter to be set;
sending the parameter setting request instruction to a cloud server so as to enable the cloud server to generate recommended parameters of the to-be-set parameters by using the parameter setting method of the electric equipment according to any one of claims 1 to 5;
receiving and displaying the recommended parameters;
and setting the parameters to be set based on the recommended parameters.
7. The method of claim 6, wherein the setting the parameter to be set based on the recommended parameter comprises:
judging whether a starting instruction is received within first preset time after the recommended parameters are displayed or not, or whether a parameter adjusting instruction is received or not;
if the starting instruction is received within the first preset time or the parameter adjusting instruction is not received, taking the recommended parameter as a control parameter of the electrical equipment, and sending the control parameter to the cloud server so that the cloud server establishes a preset parameter model based on the control parameter;
if the starting instruction is not received within the first preset time and the parameter adjusting instruction is received, adjusting the recommended parameter according to the parameter adjusting instruction, and sending the adjusted recommended parameter to the cloud server, so that the cloud server establishes a preset parameter model based on the adjusted recommended parameter.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1-5 or carries out the method of any one of claims 6-7.
9. A cloud server, comprising:
the establishing module is used for establishing a parameter prediction model;
the receiving module is used for receiving a parameter setting request instruction sent by the electrical equipment;
the acquisition module is used for acquiring the sending time of the parameter setting request instruction and acquiring the parameters to be set of the electrical equipment from the parameter setting request instruction;
the generation module is used for generating the recommendation parameters of the parameters to be set according to the parameter prediction model and the sending time;
and the sending module is used for sending the recommended parameters to the electrical equipment.
10. An electrical device, comprising:
the device comprises a first receiving unit, a second receiving unit and a control unit, wherein the first receiving unit is used for receiving a parameter setting request instruction, and the parameter setting request instruction comprises a parameter to be set;
a sending unit, configured to send the parameter setting request instruction to a cloud server, so that the cloud server generates the recommended parameter of the parameter to be set by using the parameter setting method of the electrical device according to any one of claims 1 to 5;
the second receiving unit is used for receiving the recommendation parameters;
the display unit is used for displaying the recommended parameters;
and the setting unit is used for setting the parameters to be set based on the recommended parameters.
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