CN113703334A - Intelligent scene updating method and device - Google Patents
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Abstract
The embodiment of the application provides an updating method and device of an intelligent scene, intelligent control equipment and a storage medium. The method for updating the intelligent scene, provided by the embodiment of the application, can automatically update the intelligent scene according to the behavior habit of the user, so that the operation burden of the user is reduced.
Description
Technical Field
The application relates to the technical field of smart home, in particular to an updating method and device of an intelligent scene.
Background
With the continuous development of science and technology and the continuous improvement of the living standard of people, modern people are not more and more satisfied with the current living situation, and instead, the urgent pursuit of more comfortable high-grade living environment is adopted, so that smart homes (home automation) also come with the urgent pursuit, so-called smart homes take homes as platforms, facilities related to home life are integrated by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology, a high-efficiency management system of home facilities and home schedule affairs is constructed, the home safety, convenience, comfortableness and artistry are improved, and the environment-friendly and energy-saving living environment is realized.
In the intelligent home system, a user can automatically control a series of intelligent devices by setting an intelligent scene mode. At present, the modification of the intelligent scene mode needs to be performed manually by a user, for example, the user needs to manually delete and add the intelligent device in the intelligent scene mode, the control flow is complex, and the operation burden of the user is increased.
Disclosure of Invention
In view of the above problems, embodiments of the present application provide an updating method and apparatus for an intelligent scene, and an intelligent control device, so as to solve the above technical problems.
The embodiment of the application is realized by adopting the following technical scheme:
in a first aspect, some embodiments of the present application provide a method for updating an intelligent scene, where the method includes, after detecting that the intelligent scene is triggered, acquiring scene change information of the intelligent scene if a scene state of the intelligent scene changes within a first preset time; and if the acquiring rule of the scene change information in the second preset time meets the preset condition, updating the intelligent scene according to the scene change information.
In a second aspect, some embodiments of the present application provide an apparatus for updating an intelligent scene, where the apparatus includes an information obtaining module and a scene updating module; the information acquisition module is used for acquiring scene change information of the intelligent scene if the scene state of the intelligent scene is changed within first preset time after the intelligent scene is detected to be triggered; and the scene updating module is used for updating the intelligent scene according to the scene change information if the acquiring rule of the scene change information in the second preset time meets the preset condition.
In a third aspect, an embodiment of the present application further provides an intelligent control device, which includes a processor and a memory, where the memory stores computer program instructions, and the computer program instructions, when called by the processor, execute the above-mentioned updating method for the intelligent scene.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where a program code is stored in the computer-readable storage medium, and when the program code is executed by a processor, the method for updating an intelligent scene is performed.
According to the intelligent device control method, after the intelligent scene is triggered, if the scene state of the intelligent scene changes within the first preset time, the scene change information of the intelligent scene is acquired, and if the acquiring rule of the scene change information within the second preset time meets the preset condition, the intelligent scene is updated according to the scene change, so that the intelligent scene can be automatically updated according to the behavior habit of the user, and the operation burden of the user is reduced.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a schematic diagram of an intelligent home system provided by an embodiment of the present application.
Fig. 2 shows a flowchart of an updating method of an intelligent scene provided by an embodiment of the present application.
Fig. 3 shows a flowchart of another method for updating an intelligent scene according to an embodiment of the present application.
Fig. 4 shows a schematic flowchart of steps S281 to S282 provided in an embodiment of the present application.
Fig. 5 shows a schematic flowchart of steps S290 to S293 provided in the embodiment of the present application.
Fig. 6 shows a block diagram of a device for updating an intelligent scene according to an embodiment of the present application.
Fig. 7 shows a block diagram of modules of an intelligent control device according to an embodiment of the present application.
FIG. 8 illustrates a block diagram of a computer storage medium provided by an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, 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 accompanying drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
Noun interpretation
Knowledge graph: the knowledge domain visualization or knowledge domain mapping map is a series of different graphs for displaying the relationship between the knowledge development process and the structure, the knowledge resources and the carriers thereof are described by using the visualization technology, and the knowledge and the mutual relation among the knowledge resources, the carriers, the knowledge resources, the carriers, the knowledge resources, the carriers, and the knowledge resources, the information, and the information, and the information are displayed, the information, and the information.
Confidence coefficient: the confidence interval for a probability sample is an interval estimate for some overall parameter of the sample. The confidence interval exhibits the extent to which the true value of this parameter has a certain probability of falling around the measurement. The confidence interval gives the range of confidence levels of the measured parameter measurement, i.e. the "certain probability" required above, which is referred to as the confidence level.
With the continuous development of science and technology and the continuous improvement of the living standard of people, modern people are not more and more satisfied with the current living situation, and instead, the urgent pursuit of more comfortable high-grade living environment is adopted, so that smart homes (home automation) also come with the urgent pursuit, so-called smart homes take homes as platforms, facilities related to home life are integrated by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology, a high-efficiency management system of home facilities and home schedule affairs is constructed, the home safety, convenience, comfortableness and artistry are improved, and the environment-friendly and energy-saving living environment is realized.
In the intelligent home system, a user can automatically control a series of intelligent devices by setting an intelligent scene mode. For example, a plurality of lighting apparatuses can be automatically controlled by setting a sleep mode. At present, the modification of the intelligent scene mode needs to be performed manually by a user, for example, the user needs to manually delete and add the intelligent device in the intelligent scene mode, the control flow is complex, and the operation burden of the user is increased.
The inventor provides an updating method and device of an intelligent scene, an intelligent control device and a storage medium, the updating method of the intelligent scene, the device, the intelligent control device and the storage medium are provided, the intelligent device control method obtains scene change information of the intelligent scene if a scene state of the intelligent scene changes within a first preset time after detecting that the intelligent scene is triggered, and updates the intelligent scene according to scene change if an obtaining rule of the scene change information within a second preset time meets a preset condition, so that the intelligent scene can be automatically updated according to behavior habits of a user, and operation burden of the user is reduced.
As shown in fig. 1, fig. 1 is an intelligent home system 10 provided in an embodiment of the present application, where the intelligent home system 10 includes a mobile terminal 11, a server 12, an intelligent control device 13, and a plurality of intelligent devices 14. The mobile terminal 11 may be any device having communication and storage functions, for example, a smart phone, a desktop computer, a notebook computer, a tablet computer, or other smart communication devices having a network connection function, and a client (which may be an application client, such as a mobile phone APP; or a web page client) for managing the sub-devices and a user account that can be logged in at the client are stored in the mobile terminal 11. The server 12 may be a network access server, a database server, a cloud server, or the like. The mobile terminal 11 and the server 12 may be connected via a network.
The smart control device 13 may be a smart home control panel. In the smart home system 10, the smart control device 13 may control and manage the smart device 14. Further, the smart control device 13 may be built based on, but not limited to, at least one of bluetooth, ZigBee (ZigBee) and Wi-Fi protocols. The plurality of smart devices 14 may establish network connections with the smart control device 13 based on a bluetooth protocol or a ZigBee protocol or a Wi-Fi protocol.
As shown in fig. 2, fig. 2 is a schematic flowchart of an updating method 100 for an intelligent scene according to an embodiment of the present application. The method 100 for updating the smart scene may be applied to the server 12 or the smart control device 13 in the smart home system 10. In the embodiment of the present application, the control method 100 of the intelligent device is explained with the intelligent control device as an execution subject. It is understood that no substantial improvement over the present application is intended to be covered by the claims. In this embodiment, the method 100 for updating an intelligent scene may include the following steps S110 to S120.
Step S110: after the triggering of the intelligent scene is detected, if the scene state of the intelligent scene changes within a first preset time, scene change information of the intelligent scene is obtained.
The intelligent scene is the linkage control of a plurality of intelligent devices. For example, in the sleep mode, all lighting devices in the smart home system may be turned off.
In this embodiment, the intelligent scenario may be triggered in various forms. As one approach, the smart scene may be actively triggered by the user. Specifically, whether the voice information of the user contains scene trigger information is identified, and if yes, a corresponding intelligent scene is triggered. For example, in the voice message "help me start sleep mode" of the user, if the scene trigger information of "start sleep mode" is recognized, the start of sleep mode can be triggered; for another example, in the voice message "i want to rest" of the user, if the scene trigger information "want to rest" is recognized, the sleep mode may be triggered as well.
As another way, the smart scene may not be triggered actively by the user, but may be triggered automatically, specifically, when triggered by a specific piece of information, the smart scene associated with the specific piece of information is triggered automatically, and the specific piece of information includes, but is not limited to, time, an action of the smart device, and another smart scene. For example, when time reaches 22:00, a "sleep mode" is automatically triggered; or when the door lock is closed, the 'leaving mode' is automatically triggered; or when the 'leaving-home mode' is triggered, the 'security mode' is automatically triggered.
Further, after the intelligent scene is triggered, whether the scene state of the intelligent scene changes or not is detected within a first preset time. Specifically, after the intelligent device in the intelligent scene is in a preset working state, whether the scene state of the intelligent scene changes or not is detected within a first preset time, wherein the scene state is the working state of the intelligent device in the intelligent scene. It should be noted that the scene change information within the first preset time may be considered to have an association with the smart scene.
In one embodiment, after the intelligent device in the intelligent scene is in the preset working state, whether the working state of the intelligent device in the intelligent scene is changed from the preset working state to another working state is detected within a first preset time.
For example, the intelligent scenario is: in the sleep mode, the temperature of the lighting device a is set to 25 ℃, the lighting device B is turned off, and the air conditioner C is set to 25 ℃, that is, the predetermined operating state of the lighting device a is off, the predetermined operating state of the lighting device B is off, and the predetermined operating state of the air conditioner C is set to 25 ℃. After the sleep mode is triggered, the lighting device A is controlled to be turned off, the lighting device B is controlled to be turned off, and the temperature of the air conditioner C is set to be 25 ℃, and whether any one of the lighting device A, the lighting device B and the air conditioner C is changed into other states from a preset working state or not is detected within a first preset time later, for example, whether the temperature of the air conditioner C is changed from 25 ℃ to other temperatures or not is detected.
In another embodiment, after the intelligent device in the intelligent scene is in the preset working state, whether the working state of the intelligent device in the intelligent scene is changed from the preset working state to the original working state is detected within a first preset time. If the working state of the intelligent equipment in the intelligent scene is changed from the preset working state to the original working state, the user can be considered to delete the intelligent equipment in the intelligent scene.
For example, the intelligent scenario is: in the sleep mode, the temperature of the lighting device a is set to 25 ℃, the lighting device B is turned off, and the air conditioner C is set to 25 ℃, that is, the predetermined operating state of the lighting device a is off, the predetermined operating state of the lighting device B is off, and the predetermined operating state of the air conditioner C is set to 25 ℃. After the sleep mode is triggered, the lighting device A is controlled to be turned off, the lighting device B is controlled to be turned off, the temperature of the air conditioner C is set to be 25 ℃, and whether any one of the lighting device A, the lighting device B and the air conditioner C is changed from a preset working state to an original working state or not is detected within a first preset time. For example, if it is detected that the air conditioner C is turned off from 25 ℃, it indicates that the user does not need to turn on the air conditioner C after the sleep mode is triggered, and at this time, it may be considered to delete the smart device in the sleep mode.
In another embodiment, after the intelligent device in the intelligent scene is in the preset working state, whether the working states of other intelligent devices are changed by the user is detected within a first preset time. The change of the working state of the other intelligent devices in the first preset time can be considered to be associated with the current intelligent scene, that is, can be considered to be a change of the scene state of the current intelligent scene. If the working states of other intelligent devices are changed by the user within the first preset time, the user can be considered to add the intelligent device in the intelligent scene.
For example, the intelligent scenario is: in the sleep mode, the temperature of the lighting device a is set to 25 ℃, the lighting device B is turned off, and the air conditioner C is set to 25 ℃, that is, the predetermined operating state of the lighting device a is off, the predetermined operating state of the lighting device B is off, and the predetermined operating state of the air conditioner C is set to 25 ℃. After the sleep mode is triggered, the lighting device A is controlled to be turned off, the lighting device B is controlled to be turned off, the temperature of the air conditioner C is set to be 25 ℃, and whether the working state of any one of the other devices except the lighting device A, the lighting device B and the air conditioner C in the smart home system is changed by a user or not is detected within a first preset time. For example, it is detected that the music playing device D is turned on from off, it may be considered that the user adds the music playing device D in the sleep mode.
Further, other smart devices referred to in this embodiment may include at least the following two meanings:
first, the other smart devices may be other smart devices in the smart home system than the smart devices in the smart scene. For example, the intelligent scenario is: in the sleep mode, the temperature of the lighting device a, the lighting device B, and the air conditioner C are set to 25 ℃, i.e., the lighting device a, the lighting device B, and the air conditioner C are included in the sleep scene. The other intelligent devices are other intelligent devices in the intelligent home system except for the lighting device a, the lighting device B and the air conditioner C in the sleep scene, and may be, for example, a music playing device D.
Secondly, the other intelligent devices can also be devices without preset working states in an intelligent scene. For example, the user actively adds the lighting device a, the lighting device B, the air conditioner C, and the music playing device D in the sleep mode, but only the lighting device a, the lighting device B, and the air conditioner C are set to have a predetermined operating state, and the music playing device is not set to have a predetermined operating state, where the smart scene may be: in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. The other intelligent device is the music playing device D which is not set with the preset working state in the sleep mode.
Further, if the scene state of the intelligent scene is detected to be changed within the first preset time, the scene change information of the intelligent scene is acquired.
In one embodiment, the scene change information is correction information for a predetermined operating state of the smart device in the smart scene. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. After the sleep mode is triggered, if it is detected that the temperature of the air conditioner C is changed from 25 ℃ to 26 ℃ within a first preset time, scene change information of the sleep mode is acquired, for example, the scene change information may be "the temperature of the air conditioner is changed from 25 ℃ to 26 ℃.
As another embodiment, the scene change information is deletion/addition information of a predetermined operating state of the smart device in the smart scene. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. After the sleep mode is triggered, if it is detected that the air conditioner C is turned off within a first preset time, the scene change information of the sleep mode is acquired, for example, the scene change information may be "deleted air conditioner C". For another example, after the sleep mode is triggered, if it is detected that the music playing device D is turned on within the first preset time, the scene change information of the sleep mode is acquired, for example, the scene change information may be "add music playing device".
In this embodiment, the first preset time may be a fixed value, or may be set by the user, without limitation. Specifically, the first preset time may be 2 minutes.
Step S120: and if the acquiring rule of the scene change information in the second preset time meets the preset condition, updating the intelligent scene according to the scene change information.
In this embodiment, the rule of acquiring the scene change information may be used to indicate the frequency of modifying, deleting, or adding the predetermined operating state of the smart device in the smart scene by the user. The preset condition is a threshold value indicating an acquisition rule of the scene change information. If the acquiring rule of the scene change information is larger than the threshold value within the second preset time, the acquiring rule of the scene change information is in accordance with the preset condition. For example, if the threshold is 3 times, the second preset time is one week, and if the scene change information of the intelligent scene is acquired at least 3 times within one week or continuously for 3 days, it indicates that the acquisition rule of the intelligent scene meets the preset condition.
If the acquiring rule of the scene change information in the second preset time meets the preset condition, the scene change information can be regarded as a regularity event, namely the scene change information meets the actual expected control of the user on the intelligent equipment in the intelligent scene; if the acquiring rule of the scene change information does not meet the preset condition within the second preset time, the scene change information can be considered as an accidental event, that is, the scene change information does not necessarily meet the actual expected control of the user on the intelligent device in the intelligent scene.
Further, if the scene change information conforms to the actual expected control of the intelligent device in the intelligent scene by the user, the intelligent scene is updated according to the scene change information. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃; if the scene change information is "change the temperature of the air conditioner from 25 ℃ to 26 ℃" and the acquisition rule of the scene change information meets the preset condition, "turn off the lighting apparatus a, turn off the lighting apparatus B, and set the temperature of the air conditioner to 26 ℃".
Therefore, the correction/deletion/addition information of the user on the preset working state of the intelligent equipment in the intelligent scene is obtained, if the correction/deletion/addition information forms certain regularity, the correction/deletion/addition information can be regarded as the actual expected control of the user on the intelligent equipment in the intelligent scene, and therefore the preset working state of the intelligent equipment in the intelligent scene can be directly corrected according to the correction information, the user is not required to manually correct the preset working state of the intelligent equipment in the intelligent scene, the operation flow is reduced, and the operation burden of the user is reduced.
According to the method for updating the intelligent scene, after the intelligent scene is triggered, if the scene state of the intelligent scene is changed within the first preset time, the scene change information of the intelligent scene is acquired, and if the acquiring rule of the scene change information within the second preset time meets the preset condition, the intelligent scene is updated according to the scene change, so that the intelligent scene can be automatically updated according to the behavior habit of the user, and the operation burden of the user is reduced.
As shown in fig. 3, an embodiment of the present application further provides a flowchart of an updating method 200 for an intelligent scene. The method 200 for updating the smart scene may also be applied to the server 12 or the smart control device 13 in the smart home system 10. Taking the application to the intelligent control device 13 as an example, the method 200 for updating the intelligent scene may include the following steps S210 to S280.
Step S210: after the triggering of the intelligent scene is detected, if the execution control information of at least one intelligent device in the intelligent scene is acquired within a first preset time, the scene state of the intelligent scene is determined to be changed within the first preset time.
In this embodiment, after it is detected that the intelligent scene is triggered, it is detected whether the user controls at least one intelligent device in the intelligent scene within a first preset time, and if so, execution control information of the at least one intelligent device in the intelligent scene is acquired. The execution control information is used for representing the control of the user on the working state of the intelligent equipment; and the execution control information acquired within the first preset time after the intelligent scene is triggered is used for representing the further control of the user on the intelligent device associated with the intelligent scene in the preset working state.
Further, the intelligent scene is associated with a plurality of intelligent devices, and a plurality of execution control information of the plurality of intelligent devices associated with the intelligent scene is acquired within a first preset time. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. After the sleep mode is triggered, the execution control information corresponding to the lighting device a, such as "lighting device a is turned on", may be acquired within a first preset time; execution control information corresponding to the lighting device B, such as "lighting device B on", may also be acquired within the first preset time; execution control information corresponding to the air conditioner C, such as "the temperature of the air conditioner C is set to 26 ℃", may also be acquired for the first preset time.
If the execution control information of any one of the plurality of intelligent devices is acquired within the first preset time, it may be determined that the scene state of the intelligent scene changes within the first preset time.
Step S220: and saving the execution control information, and using the execution control information as scene change information of the intelligent scene.
In this embodiment, if it is determined that the scene state of the intelligent scene changes within the first preset time, the execution control information of the intelligent device associated with the intelligent scene is locally stored. In some embodiments, the execution control information may also be uploaded to a server for storage.
Further, the execution control information of the smart device is taken as the scene change information of the smart scene, wherein the scene change information of the smart scene may include the execution control information of one or more smart devices. Specifically, the scene change information is determined according to the pre-execution information and the post-execution information corresponding to the execution control information of the smart device. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. If the execution control information of the air conditioner C within the first preset time is "set the temperature of the air conditioner C to 26 ℃", the scene change information may be determined as "change the temperature of the air conditioner C from 25 ℃ to 26 ℃" according to the pre-execution information "the temperature of the air conditioner C is 25 ℃" and the post-execution information "the temperature of the air conditioner C is 26 ℃" corresponding to the execution control information. Therefore, the scene change information can represent the correction of the preset working state of the intelligent equipment in the intelligent scene by the user.
Step S230: and judging whether the acquiring rule of the scene change information in the second preset time meets the preset condition.
In this embodiment, a scene knowledge graph may be constructed according to scene change information of an intelligent scene. Specifically, a scene knowledge graph of the intelligent scene is constructed according to historical data of scene change information of the intelligent scene by the user.
And acquiring the acquiring rule of the scene change information of the intelligent scene within the second preset time according to the scene knowledge graph. The obtaining rule of the scene change information is used for representing the correcting frequency of the user on the preset working state of the intelligent device associated with the intelligent scene. For example, if the scene change information of the smart scene is acquired 4 times a week, the acquiring rule of the scene change information of the smart scene indicates that the user corrects the preset working state of the smart device associated with the smart scene 4 times a week.
If the scene change information includes a plurality of execution control information, the acquisition rule corresponding to each execution control information is acquired. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. If the scene change information of the sleep mode includes first execution control information corresponding to the lighting apparatus a and second execution control information corresponding to the air conditioner C, a first acquisition rule of the first execution control information and a second acquisition rule of the second execution control information may be acquired.
Further, the preset condition is used for a threshold value representing an acquisition rule. If the obtaining rule of the execution control information meets the condition, the fact that the user corrects the preset working state of the intelligent equipment has certain regularity is shown, namely the execution control information meets the actual expected control of the user on the intelligent equipment; if the obtaining rule of the execution control information does not meet the condition, the fact that the user corrects the preset working state of the intelligent device does not form a rule is shown, namely the execution control information does not meet the actual expected control of the user on the intelligent device. Therefore, if the obtaining rule of any execution control information in the plurality of execution control information in the second preset time meets the preset condition, it may be determined that the obtaining rule of the scene change information in the second preset time meets the preset condition, that is, the user actually desires to modify the predetermined working state of the at least one intelligent device associated with the intelligent scene.
For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. Assuming that the preset condition is 3 times in a week, if the obtaining rule of the first execution control information corresponding to the lighting device a is 4 times in a week and the obtaining rule of the second execution control information corresponding to the air conditioner C is 4 times in a week, it may be determined that the obtaining rule of the scene change information of the sleep mode meets the preset condition. If the first execution control information corresponding to the lighting device a is acquired at 2 times a week and the second execution control information corresponding to the air conditioner C is acquired at 4 times a week, it may be determined that the acquisition rule of the scene change information of the sleep mode also meets the preset condition.
In this embodiment, if the obtaining rule of the scene change information of the intelligent scene in the second preset time meets the preset condition, step S240 may be continuously executed to determine that the intelligent scene needs to be updated; if the acquiring rule of the scene change information of the intelligent scene does not accord with the preset condition within the second preset time, the acquiring rule of the scene change information of the intelligent scene can be continuously acquired.
Step S240: it is determined that the intelligent scene needs to be updated.
In this embodiment, if the acquiring rule of the scene change information of the intelligent scene in the second preset time conforms to the preset rule, it may be determined that the intelligent scene needs to be updated.
Specifically, if the acquiring rule of the scene change information in the second preset time meets the preset condition, the scene change information may be regarded as a regularity event, that is, the scene change information meets the actual expected control of the user on the intelligent device in the intelligent scene, and at this time, it may be determined that the user actually needs to modify the predetermined operating state of the intelligent device associated with the intelligent scene, so that it may be determined that the predetermined operating state of the intelligent device associated with the intelligent scene needs to be updated.
Step S250: and determining the confidence level that the intelligent scene needs to be updated.
In this embodiment, after determining that the smart scene needs to be updated, the confidence that the smart scene needs to be updated may be further determined. Specifically, a confidence level corresponding to the execution control information of each smart device in the scene change information of the smart scene is determined. For example, if the scene change information of the smart scene includes execution control information corresponding to the smart device a and execution control information corresponding to the smart device B, the confidence level of the execution control information corresponding to the smart device a and the confidence level of the execution control information corresponding to the smart device B may be obtained, respectively.
Further, the confidence of each execution control information is determined according to the acquisition rule of each execution control information. For example, the confidence level that the intelligent scene needs to be updated may be determined according to the number of times of obtaining each piece of execution control information within the second preset time, that is, the confidence level of the execution control information corresponding to each piece of intelligent equipment is determined according to the number of times of correcting the predetermined working state of each piece of intelligent equipment by the user within the second preset time. In a specific example, if the execution control information of the smart device a is acquired 7 times in a week, the confidence level of the execution control information corresponding to the smart device a may be determined to be 100%; if the execution control information of the smart device B is acquired 5 times a week, the confidence level of the execution control information corresponding to the smart device B may be determined to be 85%.
Further, the higher the degree of coincidence between the acquisition rule of the execution control information and the preset condition, the higher the confidence. As a mode, the longer the continuous time for executing the control information acquisition within the second preset time is, the higher the coincidence degree between the acquisition rule and the preset condition is, that is, the longer the continuous time for the user to modify the preset working state of the smart device associated with the smart scene within the second preset time is, the higher the coincidence degree between the acquisition rule and the preset condition is. For example, if the preset condition is that the execution control information is acquired for 3 consecutive days in a week, the compliance degree of the acquisition rule corresponding to 7 consecutive days in a week is higher than the compliance degree of the acquisition rule corresponding to 5 consecutive days in a week, and meanwhile, the confidence degree of the acquisition rule corresponding to 7 consecutive days in a week is higher than the confidence degree of the acquisition rule corresponding to 5 consecutive days in a week.
As another mode, the more times the control information acquisition is performed within the second preset time, the higher the coincidence degree between the acquisition rule and the preset condition is, that is, the more times the user repeats the modification of the preset working state of the smart device associated with the smart scene within the second preset time, the higher the coincidence degree between the acquisition rule and the preset condition is. For example, if the preset condition is that the execution control information is acquired 3 times in a week, the compliance degree of the corresponding acquisition rule for 7 times in a week is higher than the compliance degree of the corresponding acquisition rule for 5 times in a week, and meanwhile, the confidence of the corresponding acquisition rule for 7 times in a week is higher than the confidence of the corresponding acquisition rule for 5 times in a week.
Further, the confidence may be divided into a plurality of preset intervals. The confidence degrees in the preset intervals represent that the rule degree of the user for correcting the preset working state of the intelligent equipment associated with the intelligent scene reaches a rule threshold value, namely the user has regularity for correcting the preset working state of the intelligent equipment associated with the intelligent scene; and the confidence coefficient lower than the minimum value of the preset intervals indicates that the rule degree of the user for correcting the preset working state of the intelligent equipment associated with the intelligent scene does not reach a rule threshold value, namely the user does not have regularity for correcting the preset working state of the intelligent equipment associated with the intelligent scene.
In this embodiment, the plurality of preset intervals include a first preset interval and a second preset interval, wherein the confidence corresponding to the first preset interval is higher than the confidence corresponding to the second preset interval. For example, the first predetermined interval may be 95% to 100%, and the second predetermined interval may be 80% to 95%.
After determining the confidence level corresponding to the execution control information of each smart device in the scene change information of the smart scene, when it is detected that the smart scene is triggered again, step S260 or step S270 to step S280 may be selectively performed according to the confidence level. When it is detected that the intelligent scene is triggered again, if the confidence is in the first preset interval, automatically updating the intelligent scene according to the scene change information, that is, executing step S260; if the confidence coefficient is located in a second preset interval, when the intelligent scene is detected to be triggered again, if the confidence coefficient is located in the second preset interval, sending scene updating prompt information, responding to a scene updating instruction, and updating the intelligent scene according to the scene change information.
Step S260: and when the intelligent scene is detected to be triggered again, if the confidence coefficient is in the first preset interval, updating the intelligent scene according to the scene change information.
In this embodiment, when it is detected that the intelligent scene is triggered again, if the confidence of the execution control information in the scene change information of the intelligent scene is in the first preset interval, the intelligent scene is updated according to the execution control information in the scene change information. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. When the sleep mode is triggered, if the confidence of the execution control information of the air conditioner C is in a first preset interval, updating the sleep mode according to the execution control information of the air conditioner C.
Step S270: and when the intelligent scene is detected to be triggered again, if the confidence coefficient is in a second preset interval, sending scene updating prompt information.
In this embodiment, when it is detected that the intelligent scene is triggered again, if the confidence of the execution control information in the scene change information of the intelligent scene is in the second preset interval, the scene update prompt information is sent. The scene updating prompt information is used for prompting the user whether to update the intelligent scene according to the scene change information. And the scene update prompt message may include, but is not limited to including, voice messages as well as display messages. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. When it is detected that the sleep mode is triggered, if the confidence of the execution control information of the air conditioner C is in the second preset interval, the voice message "whether to update the sleep scene according to the execution control information" may be sent to the user to prompt the user.
Step S280: and responding to the scene updating instruction and updating the intelligent scene according to the scene change information.
The scene updating instruction is a confirmation updating instruction fed back by the user according to the scene updating prompt information. In this embodiment, the scene update instruction may be, but is not limited to, a voice instruction and a touch screen instruction. For example, the user may confirm that the sleep scene is updated according to the execution control information through the voice instruction, and when the voice instruction of the user is received, the smart scene is updated according to the execution control information in the scene change information.
Further, if the scene change information of the intelligent scene includes execution control information with a confidence level in a first preset interval and execution control information with a confidence level in a second preset interval, the execution control information with the confidence level in the first preset interval is automatically updated, and the user is asked whether to update the execution control information with the confidence level in the second preset interval before updating the execution control information. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. If the confidence degree of the first execution control information corresponding to the lighting device a is in the first preset interval and the confidence degree of the second execution control information corresponding to the air conditioner C is in the second preset interval, the sleep mode may be updated directly according to the first execution control information, and at the same time, before the sleep mode is updated according to the second execution control information, a scene update prompt message may be sent to the user to inquire the user whether to update, and if the user returns a "confirmed" scene update instruction, the sleep mode may be updated according to the second execution control information.
Further, as shown in fig. 4, in step S260 and step S280, updating the smart scene according to the scene change information may be implemented by the following steps S281 to S282.
Step S281: and determining the corresponding target intelligent equipment according to the stored execution control information.
In this embodiment, the intelligent scene is updated according to the scene change information, that is, the predetermined operating state of the intelligent device is updated according to the execution control information of the intelligent device associated with the intelligent scene in the scene change information.
And further, determining target intelligent equipment needing to update the preset working state according to the saved execution control information of the intelligent equipment associated with the intelligent scene.
Step S282: and replacing the preset execution control information of the target intelligent device in the intelligent scene with the stored execution control information.
In this embodiment, the execution control information is preset, that is, the original preset working state of the intelligent device associated with the intelligent scene. And replacing the original preset working state of the target intelligent device in the intelligent scene by the saved execution control information. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. The "temperature setting of the air conditioner C is 25 ℃" is preset execution control information of the air conditioner C, that is, an original predetermined operating state. If the execution control information of the air conditioner C is "the temperature of the air conditioner C is set to 26 ℃", the "temperature of the air conditioner C is set to 26 ℃" is replaced with "the temperature of the air conditioner C is set to 25 ℃", and at this time, the sleep mode is updated such that the lighting apparatus a is turned off, the lighting apparatus B is turned off, and the temperature of the air conditioner C is set to 26 ℃.
It can be understood that, if the confidence of executing the control information is in the first preset interval, the replacement can be directly performed without prompting the user; if the confidence of the execution control information is in the second preset interval, prompting needs to be carried out on the user before replacement is carried out, and the execution control information is replaced to the originally preset working state when the user agrees to replace.
In some embodiments, the smart device associated with the smart scene may correspond to a plurality of pieces of execution control information, and replace the execution control information with the highest confidence level in the plurality of pieces of execution control information with the preset execution control information of the smart device in the smart scene. For example, in the sleep mode, the temperature of the lighting apparatus a, the lighting apparatus B, and the air conditioner C is set to 25 ℃. The air conditioner C corresponds to first execution control information "the temperature of the air conditioner C is set to 26 ℃" and second execution control information "the temperature of the air conditioner C is set to 27 ℃", and the confidence of the second execution control information is higher than that of the first execution control information. Replacing the second execution control information with the original preset working state of the air conditioner C in the sleep mode, so that the sleep mode is updated as follows: the temperature of the lighting a off, the lighting B off and the air conditioner C was set to 27 ℃.
It can also be understood that, if the confidence of the execution control information with the highest confidence in the plurality of execution control information is located in the first preset interval, the execution control information can be directly replaced without prompting the user; if the confidence level of the execution control information with the highest confidence level in the execution control information is located in a second preset interval, prompting needs to be carried out on the user before replacement is carried out, and when the user agrees to replace, the execution control information is replaced to the original preset working state.
In this embodiment, if the confidence of the execution control information is in the first preset interval, it indicates that the execution control information has a maximum probability of meeting the actual control requirement of the user on the preset working state of the intelligent device; and if the confidence coefficient of the execution control information is in a second preset interval, the execution control information basically meets the actual control requirement of the user on the preset working state of the intelligent equipment. According to the method and the device, when the confidence coefficient is located in the first preset interval, the preset working state of the intelligent device in the intelligent scene is directly updated, when the confidence coefficient is located in the second preset interval, a subsequent updating action is prompted to a user, and after the user determines the updating, the preset working state of the intelligent device in the intelligent scene is updated, so that the user does not need to manually update the preset working state of the intelligent device in the intelligent scene, the operation process of the user is reduced, and the operation burden of the user is reduced.
In some embodiments, the updating method of the intelligent scene may further update the intelligent scene according to an instruction of the user, so that the user can actively update the intelligent scene according to an autonomous will. Specifically, before it is determined that the smart scene needs to be updated, the smart scene may be actively updated by the user, as shown in fig. 5, which may be specifically implemented by the following steps S290 to S293.
Step S290: and receiving a user updating instruction.
In this embodiment, the user update instruction may include, but is not limited to, a voice instruction and a touch screen instruction.
As one way, voice information of a user is received.
As another approach, touch screen information of a user is received.
Step S291: and identifying target scene information and target updating information according to the user updating instruction.
In this embodiment, the target scene information and the target update information may be identified in the voice information of the user. For example, in the user's voice message "air conditioner set to 26 ℃ in sleep mode", it may be determined that the target scene information is "sleep mode" and the target update information is "air conditioner set to 26 ℃".
Step S292: and determining a target intelligent scene needing to be updated according to the target scene information.
In this embodiment, a target intelligent scene to be updated is queried in an intelligent scene list of a current intelligent home system according to target scene information. For example, the current smart home system includes a plurality of smart scenes such as a viewing mode, a security mode, a sleep mode, a getting-up mode, a reading mode, etc., and the smart scene corresponding to the target scene information "sleep mode" is queried in the list of the plurality of smart scenes, so that it can be determined that the target smart scene that needs to be updated currently is the sleep mode.
Step S293: and updating the target intelligent scene according to the target updating information.
In this embodiment, the intelligent device to be updated is determined in the target intelligent scene according to the target update information, and then the preset execution control information of the intelligent device in the intelligent scene is updated according to the target update information. For example, in a sleep scene, the temperature of the lighting a, the lighting B, and the air conditioner C is set to 25 ℃. According to the target update information "air conditioner set to 26 ℃" it can be determined that the smart device currently required to be updated is the air conditioner C, and then according to the target update information "air conditioner set to 26 ℃" it can replace the preset execution control information of the air conditioner C in the sleep mode "26 ℃", so that the sleep mode is updated to "turn off the lighting device a, turn off the lighting device B, and set the temperature of the air conditioner C to 26 ℃".
According to the method for updating the intelligent scene, after the intelligent scene is triggered, if the scene state of the intelligent scene is changed within the first preset time, the scene change information of the intelligent scene is acquired, and if the acquiring rule of the scene change information within the second preset time meets the preset condition, the intelligent scene is updated according to the scene change, so that the intelligent scene can be automatically updated according to the behavior habit of the user, and the operation burden of the user is reduced.
As shown in fig. 6, fig. 6 illustrates an apparatus 300 for updating an intelligent scene according to an embodiment of the present application. The apparatus 300 for updating an intelligent scene includes an information obtaining module 310 and a scene updating module 320. The information obtaining module 310 is configured to, after detecting that the intelligent scene is triggered, obtain scene change information of the intelligent scene if a scene state of the intelligent scene changes within a first preset time; the scene updating module 320 is configured to update the intelligent scene according to the scene change information if the obtaining rule of the scene change information in the second preset time meets the preset condition.
In some embodiments, the information acquisition module 310 includes a state determination unit 311 and a saving unit 312. The state determining unit 311 is configured to determine that a scene state of an intelligent scene changes within a first preset time if execution control information for at least one intelligent device in the intelligent scene is acquired within the first preset time after it is detected that the intelligent scene is triggered; the saving unit 312 is configured to save the execution control information, and to use the execution control information as scene change information of the smart scene.
In some embodiments, the scene update module 320 includes a judgment unit 321, a first determination unit 322, a second determination unit 323, a first update unit 324, an information determination unit 325, a second update unit 326, a target determination unit 327, and a replacement unit 328. The judging unit 321 is configured to judge whether an obtaining rule of the scene change information in a second preset time meets a preset condition; the first determining unit 322 is configured to determine that the smart scene needs to be updated; the second determining unit 323 is configured to determine a confidence that the intelligent scene needs to be updated; the first updating unit 324 is configured to, when it is detected that the intelligent scene is triggered again, update the intelligent scene according to the scene change information if the confidence is in the first preset interval; the information determining unit 325 is configured to, when it is detected that the intelligent scene is triggered again, send a scene update prompting message if the confidence is in a second preset interval; the second updating unit 326 is configured to respond to the scene updating instruction and update the smart scene according to the scene change information; the target determining unit 327 is configured to determine a corresponding target smart device according to the saved execution control information; the replacing unit 328 is configured to replace the saved execution control information with the preset execution control information of the target smart device in the smart scenario.
In some embodiments, the apparatus 300 for updating an intelligent scene further includes a receiving module 330, an information identifying module 340, a determining module 350, and an updating module 360. The receiving module 330 is configured to receive a user update instruction; the information identification module 340 is configured to identify target scene information and target update information according to a user update instruction; the determining module 350 is configured to determine a target intelligent scene to be updated according to the target scene information; the updating module 360 is configured to update the target intelligent scene according to the target updating information.
The updating device of the intelligent scene provided by the embodiment of the application detects that the intelligent scene is triggered, if the scene state of the intelligent scene changes within the first preset time, the scene change information of the intelligent scene is acquired, and if the acquiring rule of the scene change information within the second preset time meets the preset condition, the intelligent scene is updated according to the scene change, so that the intelligent scene can be automatically updated according to the behavior habit of the user, and the operation burden of the user is reduced.
As shown in fig. 7, fig. 7 illustrates a block diagram of an intelligent control device 400 provided in an embodiment of the present application, where the intelligent control device 400 includes a processor 410 and a memory 420, and the memory 420 stores program instructions, and the program instructions, when executed by the processor 410, implement the above-mentioned method for updating an intelligent scene.
The Memory 420 may include a Random Access Memory (RAM) 420 or a Read-Only Memory (Read-Only Memory) 420. The memory 420 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 420 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area can also store data (such as a phone book, audio and video data, chatting record data) created by the electronic device map in use and the like.
As shown in fig. 8, an embodiment of the present application further provides a computer-readable storage medium 500, in which computer program instructions 510 are stored in the computer-readable storage medium 500, and the computer program instructions 510 can be called by a processor to execute the method described in the above embodiment.
The computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium includes a non-volatile computer-readable storage medium. The computer-readable storage medium 600 has storage space for program code for performing any of the method steps described above. The program code can be read from or written to one or more computer program products. The program code may be compressed, for example, in a suitable form.
Although the present application has been described with reference to the preferred embodiments, it is to be understood that the present application is not limited to the disclosed embodiments, but rather, the present application is intended to cover various modifications, equivalents and alternatives falling within the spirit and scope of the present application.
Claims (10)
1. A method for updating an intelligent scene, the method comprising:
after detecting that an intelligent scene is triggered, if the scene state of the intelligent scene changes within a first preset time, acquiring scene change information of the intelligent scene; and
and if the acquiring rule of the scene change information accords with a preset condition within second preset time, updating the intelligent scene according to the scene change information.
2. The method for updating an intelligent scene according to claim 1, wherein the acquiring scene change information of the intelligent scene if the scene state of the intelligent scene changes within a first preset time after detecting that the intelligent scene is triggered comprises:
after an intelligent scene is detected to be triggered, if execution control information of at least one intelligent device in the intelligent scene is acquired within a first preset time, determining that the scene state of the intelligent scene changes within the first preset time; and
and saving the execution control information, and using the execution control information as scene change information of the intelligent scene.
3. The method for updating an intelligent scene according to claim 1, wherein if the rule of acquiring the scene change information in the second preset time meets a preset condition, updating the intelligent scene according to the scene change information comprises:
if the acquiring rule of the scene change information meets the preset condition within second preset time, determining the confidence degree that the intelligent scene needs to be updated; and
and when the intelligent scene is detected to be triggered again, updating the intelligent scene according to the confidence coefficient and the scene change information.
4. The method for updating an intelligent scene according to claim 3, wherein the determining the confidence level that the intelligent scene needs to be updated if the acquisition rule of the scene change information meets a preset condition within a second preset time comprises:
if the acquisition times of the scene change information in second preset time accord with preset times, determining that the intelligent scene needs to be updated; and
determining a confidence that the intelligent scene needs updating.
5. The method for updating the intelligent scene according to the claim 3, wherein the updating the intelligent scene according to the confidence level and the scene change information when the intelligent scene is detected to be triggered again comprises:
and when the intelligent scene is detected to be triggered again, if the confidence coefficient is in a first preset interval, updating the intelligent scene according to the scene change information.
6. The method for updating the intelligent scene according to claim 5, wherein the updating the intelligent scene according to the confidence level and the scene change information when the intelligent scene is detected to be triggered again further comprises:
when the intelligent scene is detected to be triggered again, if the confidence coefficient is located in a second preset interval, sending scene updating prompt information, wherein the scene updating prompt information is used for prompting a user whether to update the intelligent scene according to the scene change information; and
and responding to a scene updating instruction, and updating the intelligent scene according to the scene change information.
7. The method for updating the intelligent scene according to the scene change information, as claimed in claim 2, wherein the updating the intelligent scene according to the scene change information comprises:
determining corresponding target intelligent equipment according to the stored execution control information; and
and replacing the preset execution control information of the target intelligent device in the intelligent scene with the stored execution control information.
8. The updating method of the intelligent scene according to any one of claims 1 to 7, wherein the updating method of the intelligent scene further comprises:
receiving a user updating instruction;
determining scene updating information of the intelligent scene according to the user updating instruction; and
and updating the intelligent scene according to the scene updating information.
9. The updating method of the intelligent scene according to claim 8, wherein the scene update information includes target scene information and target update information; the determining the scene updating information of the intelligent scene according to the user updating instruction comprises:
identifying the target scene information and the target updating information according to the user updating instruction;
the updating the intelligent scene according to the scene updating information includes:
determining a target intelligent scene needing to be updated according to the target scene information; and
and updating the target intelligent scene according to the target updating information.
10. An apparatus for updating an intelligent scene, the apparatus comprising:
the information acquisition module is used for acquiring scene change information of the intelligent scene if the scene state of the intelligent scene is changed within first preset time after the triggering of the intelligent scene is detected; and
and the scene updating module is used for updating the intelligent scene according to the scene change information if the acquiring rule of the scene change information meets the preset condition within second preset time.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115167157A (en) * | 2022-05-11 | 2022-10-11 | 深圳绿米联创科技有限公司 | Device control method, device, electronic device and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004163232A (en) * | 2002-09-20 | 2004-06-10 | Equos Research Co Ltd | On-vehicle equipment, data creation device, data creation program, and vehicle-mounted agent system |
| CN104991539A (en) * | 2015-07-03 | 2015-10-21 | 上海姆弘自动化技术有限公司 | Smart home automated system |
| US20160294574A1 (en) * | 2015-03-31 | 2016-10-06 | Xiaomi Inc. | Method and device for deleting smart scene |
| CN110696587A (en) * | 2019-09-24 | 2020-01-17 | 中国第一汽车股份有限公司 | Air conditioner control method and system and vehicle |
| CN111338227A (en) * | 2020-05-18 | 2020-06-26 | 南京三满互联网络科技有限公司 | Electronic appliance control method and control device based on reinforcement learning and storage medium |
| CN111566690A (en) * | 2018-03-27 | 2020-08-21 | 华为技术有限公司 | Method and device for recommending application based on scene |
| CN111669304A (en) * | 2020-05-19 | 2020-09-15 | 广东科徕尼智能科技有限公司 | Intelligent household scene control method and equipment based on edge gateway and storage medium |
| WO2020228032A1 (en) * | 2019-05-16 | 2020-11-19 | 深圳市欢太科技有限公司 | Scene pushing method, apparatus and system, and electronic device and storage medium |
| CN112415902A (en) * | 2019-08-21 | 2021-02-26 | 青岛海尔智能技术研发有限公司 | Method and device for controlling intelligent household appliance and intelligent household appliance |
| CN112511865A (en) * | 2020-12-10 | 2021-03-16 | 杭州次元岛科技有限公司 | Video content recommendation system based on social media |
| CN113341743A (en) * | 2021-06-07 | 2021-09-03 | 深圳市欧瑞博科技股份有限公司 | Intelligent household equipment control method and device, electronic equipment and storage medium |
-
2021
- 2021-09-22 CN CN202111109035.5A patent/CN113703334A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004163232A (en) * | 2002-09-20 | 2004-06-10 | Equos Research Co Ltd | On-vehicle equipment, data creation device, data creation program, and vehicle-mounted agent system |
| US20160294574A1 (en) * | 2015-03-31 | 2016-10-06 | Xiaomi Inc. | Method and device for deleting smart scene |
| CN104991539A (en) * | 2015-07-03 | 2015-10-21 | 上海姆弘自动化技术有限公司 | Smart home automated system |
| CN111566690A (en) * | 2018-03-27 | 2020-08-21 | 华为技术有限公司 | Method and device for recommending application based on scene |
| WO2020228032A1 (en) * | 2019-05-16 | 2020-11-19 | 深圳市欢太科技有限公司 | Scene pushing method, apparatus and system, and electronic device and storage medium |
| CN112415902A (en) * | 2019-08-21 | 2021-02-26 | 青岛海尔智能技术研发有限公司 | Method and device for controlling intelligent household appliance and intelligent household appliance |
| CN110696587A (en) * | 2019-09-24 | 2020-01-17 | 中国第一汽车股份有限公司 | Air conditioner control method and system and vehicle |
| CN111338227A (en) * | 2020-05-18 | 2020-06-26 | 南京三满互联网络科技有限公司 | Electronic appliance control method and control device based on reinforcement learning and storage medium |
| CN111669304A (en) * | 2020-05-19 | 2020-09-15 | 广东科徕尼智能科技有限公司 | Intelligent household scene control method and equipment based on edge gateway and storage medium |
| CN112511865A (en) * | 2020-12-10 | 2021-03-16 | 杭州次元岛科技有限公司 | Video content recommendation system based on social media |
| CN113341743A (en) * | 2021-06-07 | 2021-09-03 | 深圳市欧瑞博科技股份有限公司 | Intelligent household equipment control method and device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 徐如志 等: "云计算环境下手机情景模式智能化学习模型及算法研究", 小型微型计算机系统, no. 01, pages 125 - 130 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115167157A (en) * | 2022-05-11 | 2022-10-11 | 深圳绿米联创科技有限公司 | Device control method, device, electronic device and storage medium |
| WO2023216995A1 (en) * | 2022-05-11 | 2023-11-16 | 深圳绿米联创科技有限公司 | Device control method and apparatus, electronic device, and storage medium |
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