CN115134241A - Scene optimization method and device, storage medium and electronic equipment - Google Patents

Scene optimization method and device, storage medium and electronic equipment Download PDF

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CN115134241A
CN115134241A CN202210513429.5A CN202210513429A CN115134241A CN 115134241 A CN115134241 A CN 115134241A CN 202210513429 A CN202210513429 A CN 202210513429A CN 115134241 A CN115134241 A CN 115134241A
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link
scene
optimization
execution
information
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CN115134241B (en
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陈浩强
张亚菲
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Wuhu Midea Kitchen and Bath Appliances Manufacturing Co Ltd
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Wuhu Midea Kitchen and Bath Appliances Manufacturing Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Automation & Control Theory (AREA)
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  • General Health & Medical Sciences (AREA)
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Abstract

The embodiment of the application discloses a scene optimization method, a scene optimization device, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring execution data of scene links of each scene under a user account; and determining a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link. According to the technical scheme of the embodiment of the application, link optimization can be efficiently carried out on each scene, and the threshold of using intelligent equipment and intelligent scenes by a user is reduced.

Description

Scene optimization method and device, storage medium and electronic equipment
Technical Field
The application relates to the technical field of internet of things, in particular to a scene optimization method and device, a storage medium and electronic equipment.
Background
With the development of the internet of things technology, the smart home is more and more widely applied. The intelligent home connects various intelligent devices such as audio and video devices, lighting devices, curtain control devices, air conditioner control devices, security devices, network household appliances and the like in the home together through the Internet of things technology.
In one technical scheme, after a user adds a new intelligent device, an intelligent scene of the intelligent device is configured. However, as the number of smart devices increases, the number of smart scenes configurable by the smart devices increases, and scene links of the smart scenes become more complex, so that the scene links of the smart scenes need to be optimized.
Therefore, how to efficiently optimize the scene link of the intelligent scene becomes a technical problem to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a scene optimization method, a scene optimization device, a storage medium and electronic equipment, which can efficiently optimize a scene link of an intelligent scene. The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a scene optimization method, where the method includes:
acquiring execution data of scene links of each scene under a user account;
and determining a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link.
In a second aspect, an embodiment of the present application provides a scene optimization method, which is applied to a client, where the method includes:
sending a scene optimization request to a server, wherein the scene optimization request is a request for optimizing a scene link of each scene under a current user account of the client;
receiving at least one link optimization scheme returned by the server, wherein the link optimization scheme is a link optimization scheme generated by the server according to the execution data of the scene link and the link information;
displaying the at least one link optimization scheme.
In a third aspect, an embodiment of the present application provides a scene optimization apparatus, where the apparatus includes:
the execution data acquisition module is used for acquiring execution data of scene links of each scene under the user account;
and the scheme determining module is used for determining a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link.
In a fourth aspect, an embodiment of the present application provides a scene optimization apparatus, which is applied to a client, and the apparatus includes:
the client side comprises a request sending module and a server side, wherein the request sending module is used for sending a scene optimization request to the server side, and the scene optimization request is a request for optimizing a scene link of each scene under a current user account of the client side;
a scheme receiving module, configured to receive at least one link optimization scheme returned by the server, where the link optimization scheme is a link optimization scheme generated by the server according to the execution data of the scene link and the link information;
and the scheme display module is used for displaying the at least one link optimization scheme.
In a fifth aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the steps of the above-mentioned method.
In a sixth aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the steps of the method as described above.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
on one hand, the execution data of the scene link of each scene under the user account is obtained, and the execution characteristics of the scene link of each scene can be determined; on the other hand, the link optimization scheme of the scene link of each scene is determined based on the execution data of the scene link and the link information of the scene link, and the link optimization scheme of the scene link of each scene can be generated by combining the execution characteristics and the link characteristics of the scene link, so that the link optimization can be efficiently performed on each scene by combining the actual use habit of the user, and the threshold of the user for using the intelligent device and the intelligent scene is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating an application scenario of a scenario optimization method provided in an embodiment of the present application;
FIG. 2 illustrates a flow diagram of a method of scene optimization provided in accordance with some embodiments of the present application;
FIG. 3 illustrates a schematic diagram of a scenario link provided in accordance with some embodiments of the present application;
FIG. 4 illustrates a schematic diagram of a scene link map provided in accordance with some embodiments of the present application;
FIG. 5 illustrates a schematic diagram of a scene link graph in an intelligent scene provided in accordance with some embodiments of the present application;
FIG. 6 illustrates a flow diagram of a method of scene optimization provided in accordance with further embodiments of the present application;
FIG. 7 illustrates a flow diagram of a method of scene optimization provided in accordance with further embodiments of the present application;
fig. 8 is a schematic structural diagram illustrating a scene optimization apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram illustrating another scene optimization apparatus provided in an embodiment of the present application
Fig. 10 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
First, terms related to embodiments of the present application will be explained and explained.
Scene link or intelligent scene link: the method comprises the steps of taking manual operation, time, equipment state, technical rules and the like as initial trigger signals, triggering starting or ending of certain functions of a single intelligent equipment, entering or exiting a certain state, and enabling the generated new state to become a new trigger signal to form chain reaction. The scene link is a directed single branch link in shape, and has one and only one different starting node and end node, and no node or multiple nodes in the middle. The minimum composition of a scene link is a starting node and an end node, and the starting node and the end node are connected by a directed line.
Scene link diagram: the method comprises the steps of taking manual operation, time, equipment state, technical rules and the like as initial trigger signals, triggering more than one intelligent equipment to start or end certain functions, entering or exiting a certain state, and enabling the generated new state to become a new trigger signal to form chain reaction. The scene link graph is morphologically a directed multi-branch link, and allows more than 1 different starting node and end node, and no node or a plurality of nodes in the middle. The minimum composition of the scene link graph is an intelligent scene link.
Scene or smart scene: including but not limited to one or more space or time based intelligent scene link maps. The minimal composition of a scene includes an intelligent scene link graph.
And (3) node: the method generally refers to an initial trigger signal and all triggered execution behaviors on an intelligent scene link, and has a triggering function, or a triggered execution function, or both.
A node device: generally, in a node, if the triggered execution role is played, the intelligent device triggered to execute is a node device.
The starting node: generally refers to the first node in an intelligent scene link, and only has the triggering function, taking the initial trigger signal including but not limited to manual, time, equipment state, technical rule and the like.
And the end node: generally, the last node in an intelligent scene link triggers a single intelligent device to start or end certain functions, enter or exit a certain state, and only has the node triggered to execute the function.
Intelligent scenario branch link: refers to intelligent scenario links with the same start node, but different end nodes.
Hereinafter, a technical solution of the scene optimization method according to the embodiment of the present application will be described in detail with reference to the accompanying drawings.
Fig. 1 shows a schematic diagram of an application scenario of a scenario optimization method provided in an embodiment of the present application.
Referring to fig. 1, the application scenario includes a client 110, a network 120, a server 130, and a plurality of smart devices 140. Wherein the client 110 interacts with the server 130 and the smart device 140 via the network 120. The server 130 includes a processing engine 132 and a database 134, where the database 134 stores a scene set, where the scene set includes a plurality of scenes, and one scene corresponds to at least one scene link map.
In an example embodiment, the client 110 is installed with an intelligent home application program, a user account is logged in the intelligent home application program, and the client 110 responds to a scene optimization operation of a user and sends a scene optimization request to the server 130 through the network 120, where the scene optimization request is a request for optimizing a scene link of each scene under a current user account of the client 110; the processing engine 132 of the server 130, in response to the scene optimization request sent by the client 110, obtains execution data of a scene link of each scene under the user account of the client 110; performing data statistics processing on the scene links of each scene based on the execution data of the scene links; and determining a link optimization scheme of the scene link of each scene based on the result of the data statistical processing and the link information of the scene link.
According to the technical solution in the example embodiment of fig. 1, on one hand, based on the execution data of the scene links of each scene under the user account, data statistics is performed on the scene links of each scene, and the execution characteristics of the scene links of each scene can be determined; on the other hand, the link optimization scheme of the scene link of each scene is determined based on the result of the data statistical processing and the link information of the scene link, and the link optimization scheme of the scene link of each scene can be generated by combining the execution characteristics and the link characteristics of the scene link, so that the link optimization can be efficiently performed on each scene, and the threshold of using the intelligent device and the intelligent scene by the user is reduced.
It should be noted that the intelligent device 140 may include an intelligent sound box, an intelligent door lock, a curtain control device, an air conditioner control device, and the like. The client 110 may be an application terminal device configured with a target client, and the application terminal 110 may include, but is not limited to, at least one of the following: a smart phone, a notebook computer, a tablet computer, a palm computer, an MID (Mobile Internet Devices), a desktop computer, a smart television, etc., without limitation. The target client may be a smart home application client, an instant messaging client, a browser client, an educational client, etc. The network 120 may include, but is not limited to: a wired network, a wireless network, wherein the wired network comprises: a local area network, a metropolitan area network, and a wide area network, the wireless network comprising: bluetooth, WIFI (Wireless Fidelity), and other networks that enable Wireless communication. The server 130 may be a single server, a server cluster composed of a plurality of servers, or a cloud server. The above is merely an example, and this is not particularly limited in the embodiments of the present application.
Fig. 2 illustrates a flow diagram of a method of scene optimization provided in accordance with some embodiments of the present application. The execution subject of the scenario optimization method may be a computing device having a computing processing function, such as the client 110 or the server 130. The scene optimization method includes steps S210 to S220, and the scene optimization method in the example embodiment is described in detail below with reference to the drawings.
Referring to fig. 2, in step S210, execution data of a scene link of each scene under the user account is acquired.
In an example embodiment, a scenario corresponds to at least one scenario link diagram, the scenario link diagram includes a plurality of scenario links, each scenario link includes a start node and an end node, each scenario link may also include one or more intermediate nodes, a node may include a trigger node and an execution node, the trigger node is a node that generates a trigger condition of the smart device, for example, a trigger signal may be generated in a manner of manual operation, time, device state, technical rule, and the like, and the trigger node triggers the smart device to start or end some functions, and enter or exit a certain state; the execution node is configured to execute a corresponding operation in response to the trigger signal, for example, start or end some functions, enter or exit a certain state, and the execution node may be a node of the intelligent device, for example, the trigger signal is to turn on an air conditioner on time, and the execution node executes an operation of turning on the air conditioner.
Exemplarily, refer to the schematic diagram of the scene link of the intelligent scene shown in fig. 3. As shown in fig. 3, "manually turn on the water dispenser" is a trigger node using manual triggering as a trigger signal, "air conditioner turn on warm air mode" and "smart speaker plays music" are intermediate nodes of a link of a smart scene, and "washing machine turn on" is an end node of the link of the smart scene. The link can realize a complete execution process, namely: after the water dispenser is manually started, the intelligent sound box starts to play music, and after the music is played for 30 minutes, the washing machine is started.
Illustratively, the scene link graph of the intelligent scene may be in the form of a directed multi-branch link, and include one or more different trigger nodes (initial nodes) and end nodes, and there are no nodes or multiple nodes in between, and the minimum constituent unit of the scene link graph of the intelligent scene is an intelligent scene link. One or more branch links may also be included in the scenario link map, where the branch links are intelligent scenario links having the same start node, but different end nodes.
Illustratively, refer to the schematic diagram of the scene link diagram of the intelligent scene shown in FIG. 4. As shown in fig. 4, the trigger node of the scene link diagram a is "manually start the water dispenser", after the water dispenser is started, the trigger node of the "air conditioner start warm air mode" is triggered to execute, and then the two branch links are simultaneously entered, wherein one is "air conditioner start warm air mode-smart speaker playing music-washing machine start", and the other is "air conditioner start warm air mode-electric curtain start/lighting system start-sweeping robot start working". In the branch of 'intelligent sound box playing music', after the duration of music playing of the intelligent sound box reaches 30 minutes, the terminal node 'washing machine is started' is executed. When the two nodes of 'electric curtain opening' and 'lighting system opening' simultaneously meet the execution conditions, the execution of the branch end node is triggered: the sweeping robot starts to work.
Exemplarily, reference is made to the schematic illustration of the intelligent scenario shown in fig. 5. In the intelligent scene, a scene link diagram of one or more time-based or space-based intelligent scenes can be included, and a user can realize different execution scenes by creating a plurality of scene link diagrams. In addition to the scene link diagram a of the intelligent scene shown in fig. 4, the user may also create another scene link diagram in the client 110, as shown in fig. 5, two initial nodes in the scene link diagram B are "intelligent door lock is closed" and "light detected by the illumination sensor is lower than a threshold", respectively, and when the two nodes simultaneously satisfy the execution condition, the execution of three end nodes, namely "camera is opened", "electric curtain is closed", and "bedside lamp is closed", is simultaneously triggered.
Further, the client clicks the scene optimization control, a scene optimization request is sent to the server, and in response to the scene optimization request of the client, the server acquires execution data of scene links of each scene under a user account of the client. The execution data of the scenario link includes one or more of an execution time of the scenario link, an execution count of the scenario link, and an execution state of the scenario link. The execution state of the scenario link includes an execution success state or an execution failure state.
For example, the user account a of the client includes a plurality of scenes, each scene corresponds to at least one scene link map, the scene link map includes a plurality of scene links, and after each execution of the scene link of each scene, the execution data of the scene link of each scene in the user account a of the client is recorded in the database of the server. After receiving a scene optimization request sent by a client, a server extracts user account information of the client, for example, identification information of a user account a, from the scene optimization request, and acquires execution data of a scene link of each scene under the user account a from a database according to the identification information of the user account a.
It should be noted that the execution data of the scenario link in the embodiment of the present application is not limited to the above data, and for example, the execution data of the timing scenario link may further include a recovery count for recovering the pre-trigger state within a predetermined time after the execution is successful, which is also within the scope of the embodiment of the present application.
In step S220, a link optimization scheme of the scene link for each scene is determined based on the execution data of the scene link and the link information of the scene link.
In an example embodiment, data statistics is performed on the execution process of the scene links of each scene based on the execution data of the scene links of the scene link diagram, and data statistics results of the scene links of each scene are determined, where the data statistics results include one or more of an enabling duration, an execution number, and an execution success rate.
For example, in some example embodiments, an execution time of a scene link map is obtained, an activation time of the scene link is determined based on the execution time of the scene link, and an activation duration of each scene link of the scene link map is determined according to the activation time of the scene link. In other example embodiments, the execution count of each scene link of the scene link map is obtained, statistics is performed on the execution count of the scene link, and the execution times of the scene link is determined. In still other embodiments, the execution state and the execution times of the scene links of the scene link map are obtained, the successful execution times of the scene links are determined, and the execution success rate of each scene link of the scene link map is determined based on the successful execution times of the scene links and the total execution times of the scene links.
Further, in an example embodiment, the link optimization scheme of the scenario link of each scenario may be determined in the following two ways. These two ways will be explained in detail below.
The first method is as follows:
in an example embodiment, a link optimization scheme of a scene link of each scene is determined based on data statistics of execution data of the scene link of each scene and link information of the scene link. For example, the target scenario includes a scenario link diagram a in fig. 4, the scenario link diagram a includes a plurality of scenario links, link information of each scenario link includes link level information, a data statistic result of each scenario link includes one or more of an enabling duration, an execution number, and an execution success rate, and a link optimization method for a scenario link of the scenario link diagram a is determined according to one or more of the enabling duration, the execution number, and the execution success rate of the scenario link diagram a in combination with the level information of the scenario link.
In some example embodiments, if the execution times of a certain scenario link in the scenario link map are less and the execution frequency is lower, that is, the execution times are less than a first time threshold and the execution frequency is less than a first predetermined frequency threshold, it is recommended to delete the corresponding scenario link from the scenario link map; if the execution success rate of a certain scene link in the scene link map is low and the execution frequency is low, namely the execution success rate is smaller than a first success rate threshold and the execution frequency is smaller than a first preset frequency threshold, recommending to delete the corresponding scene link from the scene link map; if the execution frequency of a certain scene link in the scene link map is higher and the execution success rate is higher, the execution frequency is greater than a second frequency threshold and the execution success rate threshold is greater than a second power threshold; recommending and improving the link level of the corresponding scene link in the scene link map; if the execution times of a scene link in the scene link map are less and the execution time interval is longer, namely the execution times are less than a first time threshold value and the execution time interval is greater than a second time threshold value, recommending to delete the corresponding scene link from the scene link map; if the execution times of a certain scene link in the scene link diagram are less and the execution success rate is lower, namely the execution times are less than a first time threshold value and the execution success rate is less than a first success rate threshold value, recommending to delete the corresponding scene link from the scene link diagram; and if the execution times of a certain scene link in the scene link diagram are higher and the execution success rate is higher, namely the execution times are greater than the second time threshold and the execution success rate is greater than the second power threshold, recommending to improve the link level of the corresponding scene link in the scene link.
The second method comprises the following steps:
in an example embodiment, the execution statistical characteristics of the scene links in the scene link map are extracted from the result of the data statistical processing, the link characteristics of the scene links are extracted from the link information of the scene links in the scene link map, and a link optimization scheme of the scene links in the scene link map of each scene is determined through a decision tree model based on the execution statistical characteristics and the link characteristics of each scene link in the scene link map, wherein the link optimization scheme includes adding links, deleting links, modifying links or not processing.
For example, the execution statistical characteristics of the scene links of the scene link diagram include execution times, execution frequency, execution success rate, and the like, the link characteristics include link levels, whether the links are timing links, and the like, the execution statistical characteristics and the link characteristics of each scene link of the scene link diagram are input into the decision tree model, and the link optimization scheme of each scene link of the scene link diagram is determined through the decision tree model.
According to the technical solution in the example embodiment of fig. 2, on one hand, execution data of a scene link of each scene under a user account is obtained, and execution features of the scene link of each scene can be determined; on the other hand, the link optimization scheme of the scene link of each scene is determined based on the execution data of the scene link and the link information of the scene link, and the link optimization scheme of the scene link of each scene can be generated by combining the execution characteristics and the link characteristics of the scene link, so that the link optimization can be efficiently performed on each scene by combining the actual use habit of the user, and the threshold of the user for using the intelligent device and the intelligent scene is reduced.
It should be noted that, although the server-side implementation is taken as an example for description, it should be understood by those skilled in the art that the steps of the embodiments of the present application may also be performed by the client, or partially performed by the client and partially performed by the server, which is also within the scope of the embodiments of the present application.
Further, in some example embodiments, a scenario includes at least one scenario link map, and link information of scenario links of the scenario link map includes link levels of the scenario links. The scene link has one and only one different starting node and end node, and no node or a plurality of nodes in the middle. The starting node of the scene link is generally a triggering node; an end node is generally a node that performs a function. The method further comprises the following steps: determining the grade of attribute information of each node of a scene link diagram of a target scene, wherein the attribute information comprises one or more of product characteristic information, trigger condition characteristic information and starting function characteristic information; and carrying out weighting processing on the grades of the attribute information of each node of the scene link, and determining the link grade of each scene link in the scene link diagram of the target scene. For example, the important level of the product characteristics information such as the important level of a precautionary product is higher, the important level of daily functional equipment is lower, the important level of the trigger condition characteristics information such as smoke trigger and timing trigger is higher, the important level of the conventional state of the equipment is lower, the important level of the emergency function in the starting functional characteristics information such as the important level of the emergency function is higher, and the important level of the daily function is higher.
By setting the link level of the scene link, on one hand, the importance degree of each scene link can be accurately determined; on the other hand, the scene links can be optimized by combining the importance degree of each scene link with the execution data, so that the scene link optimization scheme has more rationality and reliability.
Furthermore, in some example embodiments, a scenario includes at least one scenario link map, where the scenario link map includes a plurality of scenario links, and if the scenario link is a timing scenario link, the executing data of the timing scenario link further includes: and recovering the recovery counting of the state before the trigger within a preset time after the execution is successful. Further, when determining a link optimization scheme of each scene link, if a scene link of the scene link map is a periodic scene link and the recovery count is high, for example, the recovery count is greater than a first count threshold, then no optimization is performed; if the scene link of the scene link map is a periodic scene link and the recovery count is low, for example, the recovery count is smaller than the second count threshold, it is recommended to use manual triggering for the scene link.
By setting the recovery count for the timing scene link, it is possible to optimize the frequently used timing scene and the less used timing scene, for example, the frequently used timing scene link is not optimized, and the less used timing scene may be optimized as the manual trigger link.
In addition, in some example embodiments, a scenario includes at least one scenario link map, the scenario link map includes a plurality of scenario links, and if a certain scenario link is an additional scenario link, the additional scenario link is provided with a protection enabling duration, for example, if a scenario link of an intelligent doorbell is newly added, the protection enabling duration of the additional scenario link is set, for example, half a month, and if the enabling duration is less than half a month, the previous scenario link is not optimized. Since the newly added scene link is used less and the execution data is less, optimization according to the execution data is not recommended.
Further, when determining a link optimization scheme of a scene link diagram of a target scene, if the enabling duration of the scene link is less than the protection enabling duration, it indicates that the scene link is used less, the execution data is less, and the scene link is not optimized; if the starting duration of the scene link is greater than or equal to the protection starting duration, calculating the execution times and the execution success rate of the scene link, and if the execution times are less, the time interval of the two executions is longer and tends to be longer and/or irregular, recommending to delete the scene link; if the execution times are low and the execution success rate is low, recommending to delete the scene link; and if the execution times are high and the execution success rate is high, recommending to improve the importance level of the scene link.
By setting the protection starting time length for the newly added scene link, the problem that the optimization scheme of the newly added scene link is unreasonable due to less execution data is avoided, and the newly added scene link can be optimized more reasonably according to the use habits of users.
Fig. 6 shows a flowchart of a scene optimization method according to further embodiments of the present application.
Referring to fig. 6, in step S605, the client transmits a scene optimization request to the server.
In an example embodiment, a user account a of a client includes multiple scenes, each scene corresponds to at least one scene link map, the scene link map includes multiple scene links, and a user clicks a scene optimization control at the client to generate a scene optimization request, where the scene optimization request is a request for optimizing the scene links of the scene link maps of the scenes in the current user account a of the client. And the client sends the generated scene optimization request to the server through the network.
In step S610, the server side obtains, in response to the scene optimization request, execution data of a scene link of each scene under the user account.
In an example embodiment, the execution data for a scenario link of the scenario link map includes one or more of an execution time, an execution count, and an execution state of the scenario link. The execution state includes an execution success state or an execution failure state. The server collects the execution data of the scene links of each scene under each user account through the execution data collector, and stores the collected execution data in the database.
For example, a user account a of the client includes multiple scenes, each scene corresponds to at least one scene link map, the scene link map includes multiple scene links, and the server, in response to a scene optimization request sent by the client, acquires execution data of the scene links of the scene link maps of the scenes of the user account a corresponding to the client.
In step S615, the server determines a link optimization scheme of the scene link for each scene based on the execution data of the scene link and the link information of the scene link.
In an example embodiment, based on execution data of a scene link map, performing data statistics on execution processes of the scene link map of each scene, and determining a data statistics result of the scene link map of each scene; and determining a link optimization scheme of the scene link diagram of each scene based on the data statistics result of the execution data of the scene link and the link information of the scene link.
For example, the link information of the scene link includes link level information, the data statistics result includes one or more of an enabling duration, an execution number, and an execution success rate, and the link optimization method of the scene link is determined according to the one or more of the enabling duration, the execution number, and the execution success rate of the scene link in combination with the level information of the scene link.
According to the technical scheme in the example embodiment, the execution data of the intelligent scene link is collected based on the pivot capacity and the computing capacity of the server in the intelligent scene, the link information of the intelligent scene link is combined, the optimization scheme of the scene link is timely evaluated and provided, the requirements of a user on the intelligent scene can be met, and the popularization and the availability of the intelligent scene are improved.
In step S620, the server returns the link optimization schemes of the scene links of each scene to the client.
In an example embodiment, after the server generates the link optimization schemes of the scene links of the scene link maps of the respective scenes, the server recommends the link optimization schemes of the scene links of the scene link maps of the respective scenes to the client.
In step S625, the client displays the link optimization scheme returned by the server.
In an example embodiment, the link optimization scheme of the scene link map returned by the server side is displayed at the client side, for example, the link optimization scheme of the deleted link, the added link or the modified link.
In step S630, the client generates link optimization information of the scene in response to a link optimization operation on the link optimization scheme.
In an example embodiment, the client performs a link optimization operation according to a link optimization scheme recommended by the server, for example, deleting a scene link, adding a scene link, or modifying a scene link, to generate link optimization information of a scene.
In step S635, the client sends link optimization information to the server.
In an example embodiment, the client returns link optimization information to the server over the network.
In step S635, the server integrates the link optimization information into a scene link map of a corresponding scene under the user account.
In an example embodiment, the server updates the link optimization information to a scene link map of a corresponding scene under the user account. If the new scene link is added, the execution data of the new scene link is additionally recorded; if the scene link is modified, the record is continuously accumulated on the basis of the execution data of the original scene link.
According to the technical solution in the example embodiment of fig. 6, on one hand, based on the execution data of the scene links of each scene under the user account, the data statistics is performed on the scene links of each scene, and the execution characteristics of the scene links of each scene can be determined; on the other hand, the link optimization scheme of the scene link of each scene is determined based on the result of the data statistical processing and the link information of the scene link, and the link optimization scheme of the scene link of each scene can be generated by combining the execution characteristics and the link characteristics of the scene link, so that the link optimization can be efficiently performed on each scene, and the threshold of using intelligent equipment and intelligent scenes by a user is reduced.
Fig. 7 is a flowchart illustrating a scene optimization method according to further embodiments of the present application.
Referring to fig. 7, in step S705, execution data of a scene link of an intelligent scene is recorded.
In an example embodiment, a user a builds an intelligent scene link based on the distributed intelligent devices of account a.
For example, the user a creates an intelligent scene link of an intelligent scene, including but not limited to, using manual, time, device status, and counting rules as initial trigger signals to trigger a part of one or more intelligent devices to start or end some functions, entering or exiting a certain state, and simultaneously setting a link level or an importance level of the intelligent scene link based on product characteristics (such as higher importance level of a precautionary product and lower importance level of a daily functional device), trigger condition characteristics (smoke trigger, higher importance level of a timing trigger, lower importance level of a device normal status), and starting function characteristics (higher importance level of an emergency function and higher importance level of a daily function), and sending intelligent scene link data to a server; the server updates the intelligent scene link data to the intelligent scene link map, saves the updated intelligent scene link, and enables the execution data collector to collect the execution data of the intelligent scene link.
Further, after executing the intelligent scene link each time, recording the execution data of the intelligent scene link at the server side, wherein the content of the recorded execution data comprises execution time, execution count, and execution success or failure status. And if the scene link is a timing scene link, increasing the recovery count of recovering the state before triggering within a certain time after the recording is successfully executed.
In step S710, an intelligent scene optimization button is clicked.
In an example embodiment, an intelligent scene optimization recommendation button is displayed on a display interface of a user terminal; the user a clicks the intelligent scene optimization button.
In step S715, the client sends a scene optimization request to the server.
In an example embodiment, the user terminal sends a scene optimization request to the server in response to the click operation, where the scene optimization request is used to request for optimizing a scene link of each scene under the current user account of the client.
In step S720, a link optimization scheme is generated according to the execution data of the scene link and the link level.
In an example embodiment, the server traverses each intelligent scene link of the scene link map of the intelligent scene under the user account to obtain execution data, importance level data and the like of the intelligent scene link. And calculating the enabling time length of the intelligent scene link according to the execution data of the intelligent scene link. If the scene link is a manual scene and the time dispersion is started, optimizing is not carried out; if the link is a periodic intelligent scene link and the recovery count of the state before recovery triggering within a certain time is higher (which indicates that the setting of the scene link accords with the actual use habit of a user), optimization processing is not carried out; if the link level of the scene link is higher (such as an emergency precaution type intelligent scene or a user setting level is higher), optimization processing is not carried out; if the starting time length is within the protection starting time length corresponding to the lower link level, optimization processing is not carried out, the lower link level can be the link level of the scene link newly added by the user, and the protection starting time length can be the starting time length of the newly added scene link.
Further, if the scene is a manual scene and the starting time is more concentrated in a shorter time period, a timing intelligent scene link is recommended to be added; and if the link is a periodic intelligent scene link and the count of the state before the recovery triggering within a certain time is low (the setting of the scene link is not in accordance with the actual use habit of the user), recommending to use a manual scene or other scene types. If the starting time length exceeds the protection starting time length, calculating the execution times and the execution success rate of the scene link, and if the execution times are less, the time interval of the two executions is longer and tends to be longer and/or irregular, recommending and deleting the scene link; if the execution times are low and the execution success rate is low, recommending and deleting the scene link; and if the execution times are high and the success rate is high, recommending to improve the importance level of the scene link.
In step S725, the server returns the link optimization scheme to the client.
In an example embodiment, the server returns the link optimization scheme to the user terminal after completing traversal of each intelligent scene link of the scene link graph.
In step S730, the client displays the recommended link optimization scheme.
In an example embodiment, recommendation information of the intelligent scene link optimization scheme is displayed on a display interface of the user terminal.
In step S735, a link optimization operation is performed according to the link optimization scheme.
In an example embodiment, the user a determines to delete or modify the intelligent scenario link according to the link optimization scheme recommended by the server side.
In step S740, the client sends link optimization information to the server.
In an example embodiment, the user terminal returns link optimization information of the setting of the link optimization operation of the user a to the server.
In step S745, the server integrates the link optimization information into the scene link map of the intelligent scene.
In an example embodiment, the server updates the link optimization information to a scene link map of a corresponding scene under the user account. If the new scene link is added, the execution data of the new scene link is additionally recorded; if the scene link is modified, the record is continuously accumulated on the basis of the execution data of the original scene link.
In step S750, the scene link map corresponding to the intelligent scene is updated.
In an example embodiment, the scene link map corresponding to the intelligent scene under the user account in the database is updated.
In step S755, the user equipment set is updated.
In an example embodiment, if a user device is added, the user device set in the database is updated, that is, the device set corresponding to the smart scene is updated.
According to the technical solution in the example embodiment of fig. 7, on one hand, a link optimization scheme of an intelligent scene based on a server can provide a more usable and effective intelligent scene optimization scheme for a user; on the other hand, the effective execution data of the intelligent scene link can be obtained after the intelligent scene is executed for a certain time or a certain execution times, and a link optimization scheme of the scene link of the intelligent scene is generated, so that the user is only responsible for making decisions in the optimization process, and the intelligent scene optimization more suitable for the user requirements is mainly completed; on the other hand, the technical scheme can effectively reduce the use threshold of the intelligent scene and more highlight the advantage of no sensitivity of the intelligent scene user.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Fig. 8 shows a schematic structural diagram of a scene optimization device according to an exemplary embodiment of the present application.
Referring to fig. 8, the scene optimization apparatus 800 may be implemented by software, hardware, or a combination of the two as all or a part of the apparatus, and the scene optimization apparatus 800 is applied to an electronic device. The scenario optimization apparatus 800 includes an execution data acquisition module 810 and a scenario determination module 820. Wherein:
an execution data obtaining module 810, configured to obtain execution data of a scene link of each scene under a user account;
a scheme determining module 820, configured to determine a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link.
In some example embodiments, based on the above scheme, the execution data includes one or more of an execution time, an execution count, and an execution state, and the apparatus further includes:
a data statistics module for determining a data statistics result of the scene link of each scene based on the execution data of the scene link, wherein the data statistics result includes one or more of an activation duration, an execution number and an execution success rate,
the scheme determination module 820 is configured to:
and determining a link optimization scheme of the scene link of each scene based on the data statistical result and the link information of the scene link.
In some example embodiments, based on the above, the data statistics module is configured to:
determining the starting duration of the scene link based on the execution time of the scene link;
determining the execution times of the scene link based on the execution count of the scene link;
and determining the execution success rate of the scene link based on the execution times and the execution state.
In some example embodiments, based on the above scheme, the link information includes link level information, and the scheme determining module 820 is further configured to:
and determining a link optimization scheme of the scene link based on the data statistical result and the link level information of the scene link.
In some example embodiments, based on the above scheme, the scheme determination module 820 is further configured to:
if the execution times of the scene link is smaller than a first time threshold value and the execution success rate is smaller than a first success rate threshold value, recommending to delete the scene link;
if the execution times of the scene link is greater than a second times threshold and the execution success rate is greater than a second power threshold, recommending to improve the link level of the scene link;
if the execution times of the scene link is smaller than the first time threshold and the execution time interval is larger than a preset time threshold, recommending to delete the scene link;
and if the scene link is manually triggered and the starting frequency is greater than a preset frequency threshold value, setting the scene link as a corresponding timing scene link is recommended.
In some example embodiments, based on the above scheme, the scenario link is a timing scenario link, and the executing data further includes: the recovery count of the pre-trigger state is recovered within a predetermined time after the execution success, the scenario determination module 820 is further configured to:
if the scene link is a periodic scene link and the recovery count is greater than a first count threshold, not performing optimization processing;
and if the scene link is a periodic scene link and the recovery count is smaller than a second count threshold, recommending to use a manual trigger scene link.
In some example embodiments, based on the above scheme, the scenario link is a newly added scenario link, the newly added scenario link is provided with a protection enabling duration, and the determining, based on the data statistics result and the link information of the scenario link, a link optimization scheme of the scenario link of each scenario includes:
if the starting time of the scene link is shorter than the protection starting time, the scene link is not optimized;
and if the starting duration of the scene link is greater than or equal to the protection starting duration, determining a link optimization scheme of the scene link of each scene according to the data statistical result and the link information of the scene link.
In some example embodiments, based on the above scheme, the apparatus further includes: a rank determination module configured to:
determining the grade of attribute information of the scene link, wherein the attribute information comprises one or more of product characteristic information, trigger condition characteristic information and starting function characteristic information;
and carrying out weighting processing on the grades of the attribute information of the scene link to determine the link grade of the scene link.
In some example embodiments, based on the above scheme, the apparatus further includes:
the scheme sending module is used for sending the link optimization scheme of the scene link of the scene to the client;
an optimization information receiving module, configured to receive link optimization information sent by the client, where the link optimization information is link optimization information of the scene generated by the client in response to a link optimization operation;
and the information integration module is used for integrating the link optimization information into a scene link diagram of the scene under the user account.
The scene optimization device and the scene optimization method provided by the above embodiments belong to the same concept, and the implementation process and the implementation effect are detailed in the method embodiments, which are not described herein again.
Fig. 9 shows a schematic structural diagram of a scene optimization device according to an exemplary embodiment of the present application.
Referring to fig. 9, the scene optimization apparatus 900 may be implemented by software, hardware, or a combination of both as all or a part of an apparatus. The scene optimization apparatus 900 includes a request transmission module 910, a scheme reception module 920, and a scheme display module 930. Wherein:
a request sending module 910, configured to send a scene optimization request to a server, where the scene optimization request is a request for optimizing a scene link of each scene under a current user account of the client;
a scheme receiving module 920, configured to receive at least one link optimization scheme returned by the server, where the link optimization scheme is a link optimization scheme generated by the server according to the execution data of the scene link and the link information;
a scheme display module 930 configured to display the at least one link optimization scheme.
In some example embodiments, based on the above scheme, the apparatus further includes:
an optimization information generation module, configured to generate link optimization information of the scene in response to a link optimization operation on the link optimization scheme;
and the optimization information sending module is used for sending the link optimization information to the server so that the server integrates the link optimization information into the scene link of the scene under the user account.
In some example embodiments, based on the above scheme, the execution data includes one or more of an execution time, an execution count, and an execution state, and the apparatus further includes:
a data statistics module for determining a data statistics result of the scene link of each scene based on the execution data of the scene link, wherein the data statistics result includes one or more of an activation duration, an execution number and an execution success rate,
and the scheme determining module is used for determining a link optimization scheme of the scene link of the intelligent scene based on the result of data statistical processing and the link information of the scene link.
In some example embodiments, based on the above scheme, the link information includes link level information, and the scheme determination module is configured to:
and determining a link optimization scheme of the scene link based on the data statistics result of the scene link and the link level information of the scene link.
In some example embodiments, based on the above scheme, the apparatus further includes: a rank determination module configured to:
determining the grade of attribute information of the scene link, wherein the attribute information comprises one or more of product characteristic information, trigger condition characteristic information and starting function characteristic information;
and carrying out weighting processing on the grades of the attribute information of the scene link to determine the link grade of the scene link.
It should be noted that, when the scene optimization apparatus provided in the foregoing embodiment executes the scene optimization method, only the division of the functional modules is illustrated, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above.
In addition, the scene optimization device and the scene optimization method provided by the embodiments belong to the same concept, and the detailed implementation process is described in the method embodiments, which is not described herein again.
The embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the scene optimization method according to the foregoing embodiment, and a specific execution process may refer to a specific description of the foregoing embodiment, which is not described herein again.
An embodiment of the present application further provides a computer program product, where at least one instruction is stored in the computer program product, and the at least one instruction is loaded by the processor and executes the scene optimization method according to the foregoing embodiment, and a specific execution process may refer to a specific description of the foregoing embodiment, which is not described herein again.
The embodiment of the present application further provides a chip, where the chip is configured to execute the scene optimization method according to the foregoing embodiment, and specific execution processes may refer to specific descriptions of the foregoing embodiment, which are not described herein again.
In addition, please refer to fig. 10, which provides a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 10, the electronic device 1000 may include: at least one processor 1001, at least one communication module 1004, input output interfaces 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The input/output interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional input/output interface 1003 may also include a standard wired interface and a standard wireless interface.
The communication module 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Processor 1001 may include one or more processing cores, among other things. The processor 1001 connects various parts throughout the electronic device 1000 using various interfaces and lines, and performs various functions of the server 1000 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Alternatively, the processor 1001 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1001 may integrate one or a combination of a Central Processing Unit (CPU), a scene optimizer (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 1001, but may be implemented by a single chip.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 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 at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may alternatively be at least one memory device located remotely from the processor 1001. As shown in fig. 10, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a communication module, an input-output interface module, and a scene optimization application program.
In the electronic device 1000 shown in fig. 10, the input/output interface 1003 is mainly used for providing an input interface for a user to obtain data input by the user; and the processor 1001 may be configured to call the scene optimization program stored in the memory 1005, so that the processor 1001 performs the steps in the scene optimization method according to various exemplary embodiments of the present disclosure. For example, the processor 1001 may perform the steps as shown in fig. 2: step S210, acquiring execution data of scene links of each scene under a user account; step S220, determining a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link.
The above is an illustrative scheme of an electronic device according to an embodiment of the present disclosure, and the electronic device may be a smart phone, and may also be other suitable devices such as a tablet computer. It should be noted that the technical solution of the electronic device and the technical solution of the scene optimization processing method belong to the same concept, and details that are not described in detail in the technical solution of the electronic device can be referred to the description of the technical solution of the scene optimization processing method.
In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present application, it is noted that, unless explicitly stated or limited otherwise, "including" and "having" and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and should not be taken as limiting the scope of the present application, so that the present application will be covered by the appended claims.

Claims (15)

1. A method for scene optimization, the method comprising:
acquiring execution data of scene links of each scene under a user account;
and determining a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link.
2. The method of claim 1, wherein the execution data comprises one or more of an execution time, an execution count, and an execution state, the method further comprising:
determining data statistics of the scene links of each scene based on the execution data of the scene links, wherein the data statistics comprise one or more of starting duration, execution times and execution success rate,
the determining a link optimization scheme for the scene link of each scene based on the execution data of the scene link and the link information of the scene link includes:
and determining a link optimization scheme of the scene link of each scene based on the data statistical result and the link information of the scene link.
3. The method of claim 2, wherein determining the data statistics of the scene links of each scene based on the execution data of the scene links comprises:
determining the starting duration of the scene link based on the execution time of the scene link;
determining the execution times of the scene link based on the execution count of the scene link;
and determining the execution success rate of the scene link based on the execution times and the execution state.
4. The method of claim 2, wherein the link information comprises link level information, and wherein determining the link optimization scheme for the scenario link of each scenario based on the data statistics and the link information for the scenario link comprises:
and determining a link optimization scheme of the scene link of each scene based on the data statistical result and the link level information of the scene link.
5. The method of claim 4, wherein determining the link optimization scheme for the scenario link based on the data statistics and the link level information for the scenario link comprises:
if the execution times of the scene link is smaller than a first time threshold value and the execution success rate is smaller than a first success rate threshold value, recommending to delete the scene link;
if the execution times of the scene link is greater than a second times threshold and the execution success rate is greater than a second power threshold, recommending to improve the link level of the scene link;
if the execution times of the scene link is smaller than the first time threshold and the execution time interval is larger than a preset time threshold, recommending to delete the scene link;
and if the scene link is manually triggered and the starting frequency is greater than a preset frequency threshold value, setting the scene link as a corresponding timing scene link is recommended.
6. The method of claim 2, wherein the scene link is a timed scene link, and wherein the executing data further comprises: and recovering the recovery count of the state before triggering within a preset time after the execution success, and determining a link optimization scheme of the scene link of each scene based on the data statistical result and the link information of the scene link, wherein the link optimization scheme comprises the following steps:
if the scene link is a periodic scene link and the recovery count is greater than a first count threshold, not performing optimization processing;
and if the scene link is a periodic scene link and the recovery count is smaller than a second count threshold, recommending to use a manual trigger scene link.
7. The method according to claim 2, wherein the scene link is a newly added scene link, the newly added scene link is provided with a protection enabling duration, and the determining a link optimization scheme for the scene link of each scene based on the data statistics and the link information of the scene link comprises:
if the starting duration of the scene link is less than the protection starting duration, the scene link is not optimized;
and if the starting time of the scene link is greater than or equal to the protection starting time, determining a link optimization scheme of the scene link of each scene according to the data statistical result and the link information of the scene link.
8. The method of claim 4, further comprising:
determining the grade of attribute information of the scene link, wherein the attribute information comprises one or more of product characteristic information, trigger condition characteristic information and starting function characteristic information;
and carrying out weighting processing on the level of the attribute information of the scene link to determine the link level of the scene link.
9. The method according to any one of claims 1 to 8, further comprising:
sending a link optimization scheme of a scene link of the scene to a client;
receiving link optimization information sent by the client, wherein the link optimization information is the link optimization information of the scene generated by the client in response to the link optimization operation;
and integrating the link optimization information into a scene link map of the scene under the user account.
10. A scene optimization method is applied to a client side, and the method comprises the following steps:
sending a scene optimization request to a server, wherein the scene optimization request is a request for optimizing a scene link of each scene under a current user account of the client;
receiving at least one link optimization scheme returned by the server, wherein the link optimization scheme is generated by the server according to the execution data of the scene link and the link information;
displaying the at least one link optimization scheme.
11. The method of claim 10, further comprising:
generating link optimization information of the scene in response to a link optimization operation on the link optimization scheme;
and sending the link optimization information to the server side so that the server side integrates the link optimization information into the scene link of the scene under the user account.
12. A scene optimization apparatus, the apparatus comprising:
the execution data acquisition module is used for acquiring execution data of scene links of each scene under the user account;
and the scheme determining module is used for determining a link optimization scheme of the scene link of each scene based on the execution data of the scene link and the link information of the scene link.
13. A scene optimization device applied to a client side, the device comprising:
the system comprises a request sending module, a scene optimization module and a scene optimization module, wherein the request sending module is used for sending a scene optimization request to a server side, and the scene optimization request is a request for optimizing scene links of each scene under a current user account of a client side;
a scheme receiving module, configured to receive at least one link optimization scheme returned by the server, where the link optimization scheme is a link optimization scheme generated by the server according to the execution data of the scene link and the link information;
and the scheme display module is used for displaying the at least one link optimization scheme.
14. A computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the steps of the method according to any of claims 1 to 11.
15. An electronic device, comprising: a processor and a memory, the memory storing a computer program adapted to be loaded by the processor and to perform the steps of the method according to any of claims 1 to 11.
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