CN115617498A

CN115617498A - Application optimization method and device, electronic equipment and storage medium

Info

Publication number: CN115617498A
Application number: CN202211610485.7A
Authority: CN
Inventors: 朱翠玲; 唐锐; 王晓斐; 吴浩; 孙智
Original assignee: Anhui Toycloud Technology Co Ltd
Current assignee: Anhui Toycloud Technology Co Ltd
Priority date: 2022-12-15
Filing date: 2022-12-15
Publication date: 2023-01-17
Anticipated expiration: 2042-12-15
Also published as: CN115617498B

Abstract

The invention relates to the technical field of computers, and provides an application optimization method, an application optimization device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining a target application to be optimized, wherein the target application is deployed in first equipment; determining respective associated devices of the first device based on the device association area of the first device and the functional profile of the target application; determining, based on the functional profile, a first execution level of the first device for the target application and a second execution level of each associated device for the target application; the target associated equipment is determined from the associated equipment based on the first execution level and the second execution level, the target application is optimized based on the target associated equipment, linkage and function complementation between the equipment are achieved, the defects that the traditional scheme is narrow in application range and incapable of realizing equipment interconnection and function complementation are overcome, application efficiency can be improved, the application range can be widened and user experience is optimized through dynamic preference between equipment linkage.

Description

Application optimization method and device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of computer technologies, and in particular, to an application optimization method and apparatus, an electronic device, and a storage medium.

Background

With the development of science and technology, people have higher and higher requirements on common equipment, and in order to meet the requirements of users, the functions of the currently proposed equipment tend to be more refined and more simplified, and the functions of the equipment are remarkably different, such as dictionary pens, table lamps, robots and the like.

However, although increasingly fine and monotonous devices can meet the requirements of a certain level of users, the devices can only be applied independently, the application range is narrow, and due to single function, the utilization rate of each device is mostly low, and the idle rate is extremely high; in addition, the application process is very complicated and the application efficiency is low due to the independent application of a plurality of devices in a complex scene, so that the use experience is poor.

Disclosure of Invention

The invention provides an application optimization method, an application optimization device, electronic equipment and a storage medium, which are used for overcoming the defects that the prior art can only be independently applied, has a narrow application range and cannot carry out equipment interconnection and function complementation, and realizing linkage and function complementation between equipment.

The invention provides an application optimization method, which comprises the following steps:

determining a target application to be optimized, wherein the target application is deployed on a first device;

determining respective associated devices of the first device based on the device association area of the first device and the functional profile of the target application;

determining, based on the functional profiles, a first execution level of the first device for the target application and a second execution level of the respective associated device for the target application;

and determining target associated equipment from the associated equipment based on the first execution level and the second execution level, and optimizing the target application based on the target associated equipment.

According to an application optimization method provided by the present invention, the determining, based on the function profile, a first execution level of the first device for the target application and a second execution level of the respective associated devices for the target application includes:

determining the device information of the first device and the device information of each associated device, wherein the device information comprises device configuration information and/or device function information;

determining a first execution level of the first device for the target application based on the function profile and device information of the first device;

determining a second execution level of the respective associated device for the target application based on the function profile and the device information of the respective associated device.

According to an application optimization method provided by the present invention, the determining a first execution level of the first device for the target application based on the function profile and the device information of the first device includes:

determining at least one of a first acquisition level, a first analysis level and a first presentation level of the first device for the target application based on the function profile and device information of the first device;

determining a first execution level of the first device for the target application based on at least one of the first acquisition level, the first analysis level, and the first presentation level;

the determining, based on the function profiles and the device information of the respective associated devices, a second execution level of the respective associated devices for the target application comprises:

determining at least one of a second acquisition level, a second analysis level and a second presentation level of each associated device for the target application based on the function profile and the device information of each associated device;

determining a second execution level of each associated device for the target application based on at least one of the second acquisition level, the second analysis level, and the second presentation level.

According to an application optimization method provided by the present invention, the determining a target associated device from the associated devices based on the first execution level and the second execution level includes:

comparing the first execution level of the first equipment with the second execution levels of the associated equipment to obtain a comparison result;

and taking any one associated device as a target associated device when the comparison result indicates that the second execution level of the associated device is better than the first execution level.

According to an application optimization method provided by the present invention, in a case that the comparison result indicates that the second execution level of any associated device is better than the first execution level, taking the any associated device as a target associated device includes:

in the case that the comparison result indicates that the second execution level of any associated device is better than the first execution level, taking the any associated device as a candidate associated device;

and selecting target associated equipment from the candidate associated equipment based on any one of the user operation, the user voice and the second execution level of the candidate associated equipment.

According to the application optimization method provided by the invention, the equipment information further comprises equipment position information and equipment communication information;

the determining, based on the device association area of the first device and the function profile of the target application, respective associated devices of the first device includes:

determining a device association area of the first device based on device location information in the device information of the first device, and determining each communication device in the device association area based on device communication information in the device information of the first device;

and determining each associated device of the first device based on the device configuration information and/or the device function information in the device information of each communication device and the function profile.

According to the application optimization method provided by the invention, the function profile comprises at least one of an acquisition function, an analysis function and a display function;

the determining, based on the device configuration information and/or the device function information in the device information of the respective communication devices and the function profile, the respective associated devices of the first device includes:

selecting a plurality of communication devices corresponding to at least one of the collection function, the analysis function and the display function in the function profile from the communication devices as the associated devices of the first device based on the device configuration information and/or the device function information of the communication devices;

the optimizing the target application based on the target association equipment comprises the following steps:

optimizing at least one of an acquisition function, an analysis function, and a presentation function in a function profile of the target application based on the target-associated device.

The invention also provides an application optimization device, comprising:

the device comprises a target application determining unit, a target application optimizing unit and a optimizing unit, wherein the target application determining unit is used for determining a target application to be optimized, and the target application is deployed on first equipment;

an associated device determining unit, configured to determine respective associated devices of the first devices based on the device associated areas of the first devices and the function profiles of the target applications;

an execution level determination unit configured to determine, based on the function profile, a first execution level of the first device for the target application and a second execution level of the respective associated device for the target application;

and the target application optimization unit is used for determining target associated equipment from the associated equipment based on the first execution level and the second execution level and optimizing the target application based on the target associated equipment.

The present invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the application optimization method as described in any of the above when executing the program.

The invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the application optimization method as described in any one of the above.

According to the application optimization method, the application optimization device, the electronic equipment and the storage medium, through the function outline of the target application, in the equipment association area of the first equipment with the target application, each association equipment of the first equipment is determined, and according to the function outline, a first execution level of the first equipment to the target application and a second execution level of each association equipment to the target application are determined; according to the first execution level and the second execution level, the target associated equipment is determined, the target application is optimized by the target associated equipment, linkage between the equipment and function complementation between the equipment are achieved, the defects that only single application can be achieved in the traditional scheme, the application range is narrow, equipment interconnection cannot be achieved, and the function complementation is difficult to achieve are overcome, through the dynamic direction preference between the equipment linkage, the application efficiency of the equipment can be improved, the application range can be widened, and the user experience is optimized.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart diagram of an application optimization method provided by the present invention;

FIG. 2 is a schematic flow chart of step 130 of the application optimization method provided in the present invention;

FIG. 3 is a schematic flow chart of step 132 of the application optimization method provided in the present invention;

FIG. 4 is a schematic flow chart of step 133 of the application optimization method provided by the present invention;

FIG. 5 is a schematic diagram of a determination process of a target associated device provided by the present invention;

FIG. 6 is a flowchart illustrating step 520 of the application optimization method provided by the present invention;

FIG. 7 is a schematic flow chart of step 120 of the application optimization method provided by the present invention;

FIG. 8 is a schematic diagram of the application optimization device provided in the present invention;

fig. 9 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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 invention.

In order to better meet the requirements of users, increasingly more regions of equipment in the market are refined and simplified in function, for example, an alpha egg dictionary pen, an alpha egg intelligent desk lamp, an alpha egg intelligent desk, an alpha egg robot series, an alpha egg calligraphy practicing pen and the like.

However, most of the currently proposed devices with obvious function differentiation can only be used independently, that is, there is no connection relationship between the devices, and the devices cannot be linked, so that functional complementation is difficult to achieve, the application range cannot be expanded, and the use experience of users cannot be improved.

For example, the dictionary pen has a scanning function, can scan to fetch words and search words, but cannot display more contents at the same time due to a small screen when displaying the word searching result, which greatly reduces the word searching experience of the user. For another example, the robot only has manual input, voice input and camera image acquisition and input functions, and lacks a scanning and input function, so that the robot cannot be applied to a scanning and input scene, and the application range is limited.

To this end, the present invention provides an application optimization method, which aims to implement function optimization for a target application through linkage between a first device corresponding to the target application and each associated device in a device associated area thereof, overcome the defects that a conventional scheme can only be applied alone, has a narrow application range, and cannot perform device interconnection and function complementation, implement linkage and function complementation between devices, widen the application range of the devices, improve the application efficiency thereof, and optimize user experience, and fig. 1 is a flow diagram of the application optimization method provided by the present invention, and as shown in fig. 1, an execution main body of the method is a server side directly controlling each device, and the method includes:

step 110, determining a target application to be optimized, wherein the target application is deployed in first equipment;

specifically, before performing application optimization, it is first required to determine an optimization object, that is, a target application to be optimized, which is an application program with a specific function, for example, word fetching, word searching, composition correcting, and the like, and which needs to be installed/deployed on a first device, where the first device may be understood as a device currently operated by a user, or a device to be operated by the user, which is a device required by the user in a corresponding scene, for example, when the user is in a work scene, the first device may be a desk lamp, a desk, a dictionary pen, a calligraphy practicing pen, a bilingual treasure, and the like.

The target application to be optimized may be determined according to any one of the user operation, the user voice, and the user image, that is, the target application may be determined from the first device according to any one of the received user operation, the picked-up user voice, and the captured user image.

Here, the user operation may be understood as an operation of the user indicating the target application, which may be a click operation of the user to determine the target application, a touch operation of the user to determine the target application, or a slide operation of the user to determine the target application, and this is not particularly limited in the embodiment of the present invention.

The user voice can be understood as voice of the user indicating the target application, and the voice can be acquired in real time through a voice acquisition device, wherein the voice acquisition device can be a microphone, a recording pen and the like.

The user image can be understood as an image of a target application indicated by a user, which can be obtained by real-time shooting through an image acquisition device, where the image acquisition device can be a camera, and the like, and because the user image contains the pointing information of the target application, the user image can be used for demand analysis to determine the use demand of the user in a corresponding scene, so that according to the use demand, the device to be operated by the user is determined, the target application is determined from the device, or the target application is directly determined from the currently operated device.

In addition, in order to ensure the accuracy of the target application, the embodiment of the invention can also set priorities for user operation, user voice and user images, wherein the priority is highest due to the strongest directivity of the user operation, and the priority is lowest due to the weakest directivity of the user images.

Specifically, when the user operation is detected, the target application indicated by the user operation may be acquired; under the condition that the user voice is detected, performing voice recognition on the user voice to obtain a recognition text, and determining a target application based on the recognition text; and under the condition that the user operation and the user voice are not detected, the user image can be obtained, the requirement analysis is carried out on the basis of the user image, the use requirement of the user is obtained, and the target application is determined on the basis of the use requirement.

Therefore, the target application can be accurately and quickly determined based on any one of user operation, user voice and user images, the optimization process of the target application is accelerated, the function optimization of the target application is facilitated, and a foundation is laid for the improvement of user experience.

Step 120, determining each associated device of the first device based on the device association area of the first device and the function profile of the target application;

specifically, after the target application to be optimized is determined in step 110, step 120 may be executed to determine each associated device of the first device according to the device association area of the first device and the function profile of the target application, where the process specifically includes:

firstly, a function profile of a target application needs to be determined, wherein the function profile is an approximate condition of a target application function, can be measured from an acquisition level, an analysis level, a presentation level and the like, and can be divided into an acquisition function, an analysis function, a presentation function and the like correspondingly;

here, the function profile may be determined by function information of the target application, that is, information including detailed function of the target application, and the function profile of the target application may be obtained by analyzing the function information from an acquisition level, an analysis level, a presentation level, and the like.

Meanwhile, an equipment association area of the first equipment needs to be determined, the equipment association area can be determined according to the equipment position information of the first equipment, and can be understood as a visual area of the first equipment under a visual angle, namely an area which takes the first equipment as a center and can capture a clear image, namely an image with clear and unambiguous character boundaries; the method can also be understood as an audible area of the first device under an auditory visual angle, namely an area which takes the first device as a center and can capture clear voice, namely voice with clear voice information and no fault;

then, each associated device of the first device may be determined in the device associated area of the first device according to the function profile of the target application, specifically, a device matching the target application may be determined from the devices in the device associated area with reference to the function profile, that is, a plurality of devices corresponding to the function profile of the target application are selected from the devices and used as the associated devices of the first device, where the associated devices are devices that are interconnected with the first device and can execute functions of any layer of the function profile of the target application.

Step 130, determining a first execution level of the first device for the target application and a second execution level of each associated device for the target application based on the function profile;

specifically, after determining each associated device of the first device through step 120, step 130 may be executed to apply the function profile of the target application, and respectively determine a first execution level of the target application by the first device, and a second execution level of the target application by each associated device of the first device, where this process may specifically include:

first, a first execution level of a first device for a target application may be analyzed based on a function profile of the target application, specifically, starting from an acquisition level, an analysis level, a presentation level, and the like, and analyzing an execution effect of the first device for the target application in combination with device information of the first device, that is, when the first device executes the target application, the execution effect of the first device on the acquisition level, the analysis level, the presentation level, and the like is evaluated, so as to measure advantages and disadvantages between the execution effects, in an embodiment of the present invention, the execution effect of each level may be converted into an execution level, and the first execution level of the first device for the target application may be determined in combination with the execution level of each level;

meanwhile, the second execution level of each associated device of the first device for the target application may be analyzed on the basis of the function profile of the target application, specifically, starting from an acquisition level, an analysis level, a presentation level, and the like, the execution effect of each associated device on the target application is analyzed in combination with the device information of each associated device, that is, the execution effect of each associated device on the target application in the acquisition level, the analysis level, the presentation level, and the like is evaluated, and the second execution level of each associated device of the first device for the target application is determined in combination with the execution level corresponding to the execution effect of each level.

And 140, determining target associated equipment from the associated equipment based on the first execution level and the second execution level, and optimizing the target application based on the target associated equipment.

Specifically, after determining the first execution level of the first device for the target application and the second execution level of each associated device for the target application through the above steps, step 140 may be executed, and the target associated device is determined according to the first execution level and the second execution level, and the target application is optimized by using the target associated device, where the specific process may include:

first, a target associated device may be determined from the associated devices of the first device with reference to a first execution level and a second execution level for a target application, specifically, a first execution level and a second execution level may be compared, a related device with an execution effect better than that of the first device for the target application is selected from the first execution level and the second execution level is used as the target associated device of the first device;

then, the target application to be optimized in the first device may be optimized by using the target-related device, specifically, the target application may be function-optimized by using the device configuration information and/or the device function information in the device information of the target-related device, that is, the target application on the first device may be function-optimized from the acquisition level, the analysis level, the presentation level and the like by using the device configuration and/or the device function of the target-related device.

According to the application optimization method provided by the invention, through the function profile of the target application, each associated device of the first device is determined in the device associated area of the first device with the target application, and according to the function profile, a first execution level of the first device for the target application and a second execution level of each associated device for the target application are determined; according to the first execution level and the second execution level, the target associated equipment is determined, the target application is optimized by utilizing the target associated equipment, linkage between the equipment and function complementation between the equipment are realized, the defects that the traditional scheme can only be independently applied, the application range is narrow, equipment interconnection cannot be carried out, and the function complementation is difficult to realize are overcome, and through the dynamic direction preference between equipment linkage, the application efficiency of the equipment can be improved, the application range can be widened, and the user experience is optimized.

Based on the above embodiment, fig. 2 is a schematic flow chart of step 130 in the application optimization method provided by the present invention, and as shown in fig. 2, step 130 includes:

step 131, determining device information of the first device and device information of each associated device, wherein the device information includes device configuration information and/or device function information;

step 132, determining a first execution level of the first device for the target application based on the function profile and the device information of the first device;

step 133 determines a second execution level of each associated device for the target application based on the function profile and the device information of each associated device.

Specifically, in step 130, the process of determining the first execution level of the first device for the target application and the second execution level of each associated device of the first device for the target application according to the function profile of the target application specifically includes the following steps:

step 131, first, it is required to determine device information of the first device and device information of each associated device of the first device, where the device information includes device configuration information and/or device function information, which embodies a device function and/or device configuration of the corresponding device and can be used for determining an execution effect of a target application in the following;

step 132, immediately analyzing a first execution level of the first device for the target application based on the function profile of the target application and the device information of the first device, specifically, by combining the function profile of the target application and the device configuration information and/or the device function information of the first device, starting from an acquisition level, an analysis level, a presentation level, and the like, evaluating an execution effect of the first device for the target application, so as to determine an execution effect of the first device for the target application on the whole level through comprehensive analysis and evaluation, and in order to measure the quality between the execution effects, in the embodiment of the present invention, the execution effect is converted into the execution level, and finally the first execution level of the first device for the target application is obtained;

step 133, the second execution level of each associated device for the target application may be analyzed based on the function profile of the target application and the device information of each associated device, specifically, according to the function profile of the target application and the device configuration information and/or the device function information of each associated device, the execution effect of each associated device for the target application is evaluated from the acquisition level, the analysis level, the presentation level, and the like, that is, the execution effect of each associated device for the target application at the acquisition level, the analysis level, the presentation level, and the like is evaluated, and the second execution level of each associated device for the target application may be determined by combining the execution effect of each level.

Based on the above embodiment, fig. 3 is a schematic flowchart of step 132 in the application optimization method provided by the present invention, and as shown in fig. 3, step 132 includes:

step 132-1, determining at least one of a first acquisition level, a first analysis level and a first presentation level of the first device for the target application based on the function profile and the device information of the first device;

step 132-2, determining a first execution level of the first device for the target application based on at least one of the first acquisition level, the first analysis level, and the first presentation level.

Specifically, in step 132, the step of determining a first execution level of the first device for the target application according to the function profile and the device information of the first device may specifically include:

step 132-1, first, determining at least one of a first acquisition level, a first analysis level and a first presentation level of the first device for the target application based on the device configuration information and/or the device function information of the first device and at least one of the acquisition function, the analysis function and the presentation function in the function profile, and specifically, determining an execution effect of the first device on the acquisition level, that is, a first acquisition level, of the first device by matching the device acquisition configuration and/or the device acquisition function of the first device, which is characterized by the device configuration information and/or the device function information, with the acquisition function in the function profile;

similarly, the device analysis configuration and/or the device analysis function represented by the device configuration information and/or the device function information may be analyzed and matched with the analysis function in the function profile to determine an execution effect of the first device on the target application at the analysis level, that is, a first analysis level; determining the execution effect of the first device on the target application at the presentation level, namely a first presentation level, through the matching of the device presentation configuration and/or the device presentation function represented by the device configuration information and/or the device function information and the presentation function in the function profile;

for example, in the acquisition aspect, when the target application is composition correction, the functional overview indicates that the target application supports scanning entry, shooting entry and the like in the acquisition aspect, and at this time, if the first device is a desk lamp and the device information indicates that the acquisition function is shooting entry, it can be determined that the desk lamp has a better execution effect on the composition correction in the acquisition aspect; if the first equipment is a dictionary pen and the equipment information of the first equipment represents that the acquisition function is scanning input, the execution effect of the dictionary pen on the acquisition aspect of composition correction can be determined to be better; and because shooting entry is more rapid and convenient than scanning entry, the first acquisition grade of the desk lamp for composition correction can be determined to be better than the first acquisition grade of the dictionary pen for composition correction.

For another example, in the display level, when the target application is composition correction, the function profile indicates that the target application supports text display, image display, and the like in the display level, and at this time, if the first device is a desk lamp and the device information indicates that the display configuration (display screen) of the first device is large, it may be determined that the desk lamp has a better execution effect on the composition correction in the display level; if the first equipment is a dictionary pen, and the equipment information of the first equipment represents that the display configuration (display screen) of the first equipment is smaller, the execution effect of the dictionary pen on the composition correction on the display layer can be determined to be worse; and because the display configuration of the desk lamp is obviously superior to that of the dictionary pen, the first display grade of the desk lamp for composition correction can be determined to be superior to that of the dictionary pen for composition correction.

Step 132-2, then, a first execution level of the first device for the target application may be determined according to at least one of the first collection level, the first analysis level, and the first presentation level, specifically, in a case that the first device can execute the target application only from any one of the collection level, the analysis level, and the presentation level, a level corresponding to an execution effect of the level may be directly used as the first execution level, and when the first device can execute the target application from the multiple levels, the first execution level may be determined by combining the levels corresponding to the execution effects of the respective levels, that is, multiple ones of the first collection level, the first analysis level, and the first presentation level may be integrated, so as to determine the first execution level of the first device for the target application.

It should be noted that the first execution level herein may include at least one of a first collection level, a first analysis level, and a first presentation level, in addition to the first comprehensive level of the comprehensive layer; the first comprehensive grade is determined based on at least one of the first acquisition grade, the first analysis grade and the first display grade.

Fig. 4 is a schematic flowchart of step 133 in the application optimization method provided by the present invention, and as shown in fig. 4, step 133 includes:

step 133-1, determining at least one of a second acquisition level, a second analysis level and a second display level of each associated device for the target application based on the function profile and the device information of each associated device;

and step 133-2, determining a second execution level of each associated device for the target application based on at least one of the second acquisition level, the second analysis level and the second presentation level.

Specifically, in step 133, determining the second execution level of each associated device for the target application according to the function profile and the device information of each associated device, specifically includes:

step 133-1, first, determining at least one of a second acquisition level, a second analysis level, and a second presentation level of each associated device for the target application, based on the device configuration information and/or the device function information of each associated device and at least one of the acquisition function, the analysis function, and the presentation function in the function profile, and specifically, determining an execution effect of each associated device on the acquisition level of the target application, that is, the second acquisition level, by matching the device acquisition configuration and/or the device acquisition function represented by the device configuration information and/or the device function information of each associated device with the acquisition function in the function profile;

similarly, the device analysis configuration and/or the device analysis function of each associated device represented by the device configuration information and/or the device function information may be analyzed and matched with the analysis function in the function profile to determine an execution effect, i.e., a second analysis level, of each associated device on the target application at the analysis level; determining the execution effect, namely a second display level, of each associated device on the target application on the display level through matching of the device display configuration and/or the device display function represented by the device configuration information and/or the device function information of each associated device with the display function in the function profile;

for example, in the acquisition level, when the target application is stored as an article, the function profile indicates that the target application supports keyboard input, scanning entry and the like in the acquisition level, and at this time, if the first device is a bilingual treasure, and the device information indicates that the acquisition function is a network disk import, it can be determined that the execution effect of the bilingual treasure on the article stored in the acquisition level is poor; if the associated equipment is a dictionary pen, and the equipment information of the associated equipment represents that the acquisition function is scanning input, the execution effect of the dictionary pen on article storage at the acquisition level can be determined to be better; by comparison, the second capturing level of the article stored by the first device bilingual treasure is obviously inferior to the second capturing level of the article stored by the associated device dictionary pen.

For another example, in the display level, when the target application is word-taking and word-searching, the function profile indicates that the target application supports text display, image display, and the like in the display level, and at this time, if the first device is a desk lamp and the device information indicates that the display configuration (display screen) of the first device is large, it may be determined that the desk lamp has a better execution effect on word-taking and word-searching in the display level; if the associated equipment is a dictionary pen, and the equipment information of the associated equipment represents that the display configuration (display screen) of the associated equipment is small, the execution effect of the dictionary pen on the display level of word fetching and searching can be determined to be poor; and the display configuration of the desk lamp is obviously superior to that of the dictionary pen, so that the second display grade of the desk lamp of the first equipment for word fetching and word searching is determined to be superior to that of the dictionary pen of the associated equipment for word fetching and word searching.

Step 133-2, immediately, a second execution level of each associated device for the target application may be determined according to at least one of the second acquisition level, the second analysis level, and the second presentation level, specifically, in a case that the associated device can execute the target application only from any one of the acquisition level, the analysis level, and the presentation level, a level corresponding to an execution effect of the level may be directly used as the second execution level, and when the associated device can execute the target application from the multiple levels, the second execution level may be determined by combining the levels corresponding to the execution effects of the respective levels, that is, multiple levels of the second acquisition level, the second analysis level, and the second presentation level may be integrated to determine the second execution level of each associated device for the target application.

It should be noted that the second execution level herein may include at least one of a second acquisition level, a second analysis level, and a second presentation level, in addition to the second comprehensive level of the comprehensive layer; and the second comprehensive grade is determined based on at least one of the second acquisition grade, the second analysis grade and the second display grade.

Based on the above embodiments, fig. 5 is a schematic diagram of the determining process of the target associated device provided by the present invention, as shown in fig. 5, in step 140,

step 510, comparing the first execution level of the first device with the second execution levels of the associated devices to obtain a comparison result;

and step 520, taking any associated equipment as the target associated equipment under the condition that the comparison result indicates that the second execution level of the associated equipment is better than the first execution level.

Specifically, in step 140, the process of determining the target associated device from the associated devices according to the first execution level and the second execution level specifically includes the following steps:

firstly, step 510 is executed to compare the first execution level and the second execution level, so as to obtain a comparison result, that is, comparing the execution effect of the first device on the target application with the quality degree of the execution effect of each associated device on the target application from at least one of the collection level, the analysis level, the presentation level and the synthesis level, so as to obtain the comparison result of the one or more levels;

then, step 520 is executed, and when the comparison result indicates that the second execution level of any associated device for the target application is better than the first execution level of the first device for the target application, that is, the execution effect of the associated device for the target application at one or more levels is better than the execution effect of the first device at a corresponding level, the associated device may be used as the target associated device of the first device, so that the associated device is subsequently utilized to perform function optimization on the target application at the corresponding level.

Correspondingly, in the case that the comparison result indicates that the second execution level of any associated device for the target application is lower than the first execution level of the first device for the target application, that is, the execution effect of the associated device on the target application at one or more levels is inferior to the execution effect of the first device at the corresponding level, the associated device is not the target associated device of the first device.

Further, when the comparison result indicates that the second execution level of each associated device for the target application is lower than the first execution level of the first device for the target application, that is, the execution effect of each associated device for the target application in one or more layers is lower than the execution effect of the first device in the corresponding layer, it may be determined that the device association area of the first device does not have an execution effect better than that of the associated device of the first device, that is, the execution effect of the first device is optimal, and at this time, the target associated device does not need to be reserved to perform function optimization for the target application.

Based on the foregoing embodiment, fig. 6 is a schematic flowchart of step 520 in the application optimization method provided by the present invention, and as shown in fig. 6, step 520 includes:

step 521, in the case that the comparison result indicates that the second execution level of any associated device is better than the first execution level, taking the associated device as a candidate associated device;

in step 522, a target associated device is selected from the candidate associated devices based on any one of the user operation, the user voice and the second execution level of each candidate associated device.

Specifically, in step 520, when the comparison result indicates that the second execution level of any associated device is better than the first execution level, the process of taking the associated device as the target associated device may be specifically divided into the following two steps:

step 521, when the comparison result indicates that the second execution level of any associated device for the target application is better than the first execution level of the first device for the target application, that is, the execution effect of the associated device for the target application in one or more layers is better than the execution effect of the first device in the corresponding layer, taking the associated device as a candidate associated device, and building each candidate associated device to obtain a candidate associated device set;

step 522, selecting a target associated device from the candidate associated device set according to any one of the user operation, the user voice and the second execution level of each candidate associated device, that is, taking the candidate associated device indicated by the user operation as the target associated device, where the user operation may be a click operation, a touch operation, a slide operation, or the like; the candidate associated devices indicated by the user speech may also be used as target associated devices, that is, speech recognition may be performed on the picked-up user speech to determine the target associated devices through the recognized text obtained by the recognition, or a preset number of candidate associated devices among the candidate associated devices arranged in the order from high to low according to the second execution level may also be used as the target associated devices.

Here, it should be noted that the target associated device indicated by the user operation and the user voice may be one or multiple, and the target associated device selected by the second execution level may also be one or multiple, that is, the preset number may be preset according to the actual situation, the actual requirement, and the like. Preferably, in the embodiment of the present invention, the candidate associated device with the optimal second execution level in each level in the candidate associated device set may be used as the target associated device of the first device, so that function optimization can be performed on the target application from multiple levels in the following, thereby implementing comprehensiveness of application optimization.

In addition, in order to more closely meet the actual requirements of the user and more accurately optimize the use experience of the user, the embodiment of the present invention may set priorities for the user operation, the user voice, and the second execution level of each candidate associated device, and since the user operation and the user voice can represent the user requirements, and the user operation has stronger directivity than the user voice, the user operation, the user voice, and the second execution level of each candidate associated device may be determined.

Specifically, when the user operation is detected, the target associated device indicated by the user operation may be acquired; under the condition that the user voice is detected, performing voice recognition on the user voice to obtain a recognition text, and determining target associated equipment based on the recognition text; and under the condition that the user operation and the user voice are not detected, comparing the second execution levels of the candidate associated devices, and selecting the candidate associated device with the optimal second execution level under each layer as the target associated device of the first device.

Based on the above embodiment, the device information further includes device location information and device communication information;

fig. 7 is a schematic flowchart of step 120 in the application optimization method provided by the present invention, and as shown in fig. 7, step 120 includes:

step 121, determining a device association area of the first device based on device location information in the device information of the first device, and determining each communication device in the device association area based on device communication information in the device information of the first device;

step 122, determining each associated device of the first device based on the device configuration information and/or the device function information in the device information of each communication device and the function profile.

Specifically, in step 120, the process of determining each associated device of the first device according to the device association area of the first device and the function profile of the target application specifically includes:

step 121, first, a device associated area of the first device may be determined according to device location information in the device information of the first device, where the device associated area may be understood as a visual area of the first device under a visual perspective, that is, an area capable of capturing a clear image with the first device as a center; it can also be understood as the audible region of the first device from an auditory point of view, i.e. the region centered on the first device, where clear speech can be captured;

then, equipment in communication connection with the first equipment, namely each communication equipment in the equipment association area, is selected from each equipment in the equipment association area by utilizing equipment communication information in the equipment information of the first equipment, and the communication connection among the equipment ensures that the corresponding communication equipment can be linked with the first equipment, so that assistance is provided for function optimization under the subsequent linkage condition;

step 122, then, according to the device configuration information and/or the device function information in the device information of each communication device and the function profile of the target application, each associated device of the first device may be selected from each communication device, specifically, based on the function profile, referring to the device configuration information and/or the device function information in the device information of each communication device, and determining, from each communication device, a communication device capable of executing at least one of the collecting function, the analyzing function, and the presenting function in the function profile, and using the communication device as the associated device of the first device.

Based on the above embodiments, the functional profile includes at least one of a collection function, an analysis function, and a presentation function; step 122 includes:

selecting a plurality of communication devices corresponding to at least one of the collection function, the analysis function and the display function in the function profile from the communication devices based on the device configuration information and/or the device function information of the communication devices as the associated devices of the first device;

in step 140, optimizing the target application based on the target associated device includes:

optimizing at least one of an acquisition function, an analysis function, and a presentation function in the function profile of the target application based on the target-associated device.

Specifically, in step 122, a process of determining each associated device of the first device according to the device configuration information and/or the device function information in the device information of each communication device and the function profile may specifically be that, with the device configuration information and/or the device function information of each communication device as a reference, a plurality of communication devices corresponding to at least one of the collection function, the analysis function, and the presentation function in the function profile are selected from each communication device, that is, a plurality of communication devices capable of at least one of the collection function, the analysis function, and the presentation function in the function profile are selected as each associated device of the first device.

In step 140, in the process of optimizing the target application by using the target-related device, the target application may be function-optimized at a corresponding level according to device configuration information and/or device function information in the device information of the target-related device, that is, the target application on the first device is function-optimized from at least one of a collection level, an analysis level, and a presentation level by using the device configuration and/or device function of the target-related device.

Based on the above embodiment, the first device is any one of a desk, a desk lamp, a dictionary pen, a scanning pen, a writing practice pen, a point reading pen, a robot and a bilingual treasure, and each associated device includes at least one of a desk, a desk lamp, a dictionary pen, a scanning pen, a writing practice pen, a point reading pen, a robot and a bilingual treasure.

Specifically, the first device in the embodiment of the present invention is a device required by a user in a corresponding scene, and may be any one of a desk, a desk lamp, a dictionary pen, a scanning pen, a writing practice pen, a point reading pen, a robot, and a bilingual treasure; in this scenario, each associated device in the device association area of the first device may be at least one of a desk, a desk lamp, a dictionary pen, a scanning pen, a writing practice pen, a point reading pen, a robot, and a bilingual treasure.

It is worth mentioning that in the embodiment of the present invention, the linkage between the devices in the scene where the user is located is emphasized, so as to improve the application efficiency of the device as much as possible and reduce the idle rate of the device while optimizing the execution effect of the target application, and the linkage between the devices widens the application range of the device while realizing the function complementation, consolidates the application efficiency, and optimizes the user experience.

The following is a detailed description of the application optimization method provided by the present invention based on the specific examples:

the first example is as follows: when a user writes work on a desk, a desk lamp and a dictionary pen are placed on the desk, the user uses the dictionary pen to inquire an unfamiliar word "applet", namely the first device is the dictionary pen, a target application is word fetching and word searching, under the condition that the dictionary pen executes a display function, because the display screen is small, the word searching result (applet) is difficult to be displayed greatly, the execution effect of the dictionary pen on the word fetching and word searching in the display level can be determined to be poor, at the moment, the relevant devices in the device relevant area of the dictionary pen are provided with the desk lamp and the desk, the desk lamp and the desk are both provided with large display screens, the large display can be performed, the execution effect of the dictionary pen on the word fetching and word searching in the display level can be determined to be excellent, the desk lamp and the desk are candidate relevant devices of the dictionary pen, correspondingly, when the word searching result is displayed by the dictionary pen, the selection icons of the candidate relevant devices (the selection icons point at the desk lamp and the desk) can be popped up, and the target relevant devices (or the desk lamp or the desk display screen can be displayed according to the selection icons indicated by the user operation or the user voice.

Example two: when a user writes work on a desk, a desk lamp and a dictionary pen are placed on the desk, the user corrects a just completed composition by using the dictionary pen, namely, first equipment is the dictionary pen, a target application is a composition correction, at the moment, the associated equipment in an equipment associated area of the dictionary pen is provided with the desk lamp and the desk, the target application is arranged on the desk lamp, the desk lamp can support one-key shooting and recording on a collection layer, the dictionary pen only supports one-line scanning and recording on the collection layer, and a display screen of the desk lamp is obviously larger than a display screen of the dictionary pen, so that the execution effect of the desk lamp on the composition correction on the display layer is obviously better than that of the dictionary pen, at the moment, a pushed icon of the desk lamp appears on the dictionary pen, the target associated equipment (desk lamp) can be determined according to the pushed icon indicated by user operation or user voice, the composition correction can be performed through the target application on the desk lamp, and convenient and fast composition correction is realized.

Example three: when the user writes the homework on the desk, desk lamp, dictionary pen and bilingual treasured have been placed on the desk, the user is reading the english reading this moment, if the user wants to type outstanding english article in the english reading into bilingual treasured, as the hearing exercise resource, the target application stores for the article promptly, first equipment is bilingual treasured, this moment because bilingual treasured only supports the network disk at the collection aspect and leads in, and contain the dictionary pen in bilingual precious equipment association region, its dictionary pen supports the scanning at the collection aspect and types, and the convenience of scanning type-in is stronger than the network disk and leads in, therefore can confirm that the execution effect that the dictionary pen stored the collection aspect is superior to bilingual treasured to the article storage, consequently can utilize the scanning type-in function entry article of english pen, and store the article of will type to bilingual treasured, so that the user calls when practising hearing.

The general flow of the application optimization method provided by the invention comprises the following steps:

firstly, determining a target application to be optimized, wherein the target application is deployed in first equipment;

then, determining each associated device of the first device based on the device associated area of the first device and the function profile of the target application, specifically, determining the device associated area of the first device based on the device location information in the device information of the first device, and determining each communication device in the device associated area based on the device communication information in the device information of the first device; determining each associated device of the first device based on the device configuration information and/or the device function information in the device information of each communication device and the function profile;

here, the first device is any one of a desk, a desk lamp, a dictionary pen, a wand, a writing practice pen, a touch and talk pen, a robot, and a bilingual treasure, and each of the associated devices includes at least one of a desk, a desk lamp, a dictionary pen, a wand, a writing practice pen, a touch and talk pen, a robot, and a bilingual treasure.

Wherein, determining each associated device of the first device based on the device configuration information and/or the device function information in the device information of each communication device and the function profile comprises: and selecting a plurality of communication devices corresponding to at least one of the acquisition function, the analysis function and the display function in the function profile from the communication devices as the associated devices of the first device based on the device configuration information and/or the device function information of the communication devices.

Then, based on the function profile, determining a first execution level of the first device for the target application and a second execution level of each associated device for the target application, which may specifically be determining device information of the first device and device information of each associated device, where the device information includes device configuration information and/or device function information; determining a first execution level of the first device for the target application based on the function profile and the device information of the first device; determining a second execution level of each associated device for the target application based on the function profile and the device information of each associated device;

wherein determining a first execution level of the first device for the target application based on the function profile and the device information of the first device comprises: determining at least one of a first acquisition level, a first analysis level and a first presentation level of the first device for the target application based on the function profile and the device information of the first device; and determining a first execution level of the first device for the target application based on at least one of the first acquisition level, the first analysis level and the first presentation level.

Determining a second execution level of each associated device for the target application based on the function profile and the device information of each associated device, including: determining at least one of a second acquisition grade, a second analysis grade and a second display grade of each associated device for the target application based on the function profile and the device information of each associated device; and determining a second execution level of each associated device for the target application based on at least one of the second acquisition level, the second analysis level and the second presentation level.

And then, determining target associated equipment from the associated equipment based on the first execution level and the second execution level, and optimizing the target application based on the target associated equipment.

The method for determining the target associated equipment from the associated equipment based on the first execution level and the second execution level comprises the following steps: comparing the first execution level of the first equipment with the second execution levels of all associated equipment to obtain a comparison result; and in the case that the comparison result indicates that the second execution level of any one associated device is better than the first execution level, taking the associated device as the target associated device.

Further, in a case where the comparison result indicates that the second execution level of any one of the associated devices is better than the first execution level, taking the associated device as a target associated device includes: taking any one associated device as a candidate associated device under the condition that the comparison result indicates that the second execution level of the associated device is better than the first execution level; and selecting the target associated device from the candidate associated devices based on any one of the user operation, the user voice and the second execution level of each candidate associated device.

The optimization of the target application based on the target associated equipment comprises the following steps: optimizing at least one of an acquisition function, an analysis function, and a presentation function in the function profile of the target application based on the target-associated device.

According to the method provided by the embodiment of the invention, through the function profile of the target application, each associated device of the first device is determined in the device associated area of the first device with the target application, and according to the function profile, a first execution level of the first device for the target application and a second execution level of each associated device for the target application are determined; according to the first execution level and the second execution level, the target associated equipment is determined, the target application is optimized by utilizing the target associated equipment, linkage between the equipment and function complementation between the equipment are realized, the defects that the traditional scheme can only be independently applied, the application range is narrow, equipment interconnection cannot be carried out, and the function complementation is difficult to realize are overcome, and through the dynamic direction preference between equipment linkage, the application efficiency of the equipment can be improved, the application range can be widened, and the user experience is optimized.

The application optimization device provided by the present invention is described below, and the application optimization device described below and the application optimization method described above can be referred to correspondingly.

Fig. 8 is a schematic structural diagram of an application optimization apparatus provided in the present invention, and as shown in fig. 8, the apparatus includes:

a target application determining unit 810, configured to determine a target application to be optimized, where the target application is deployed on a first device;

an associated device determining unit 820, configured to determine, based on the device associated area of the first device and the function profile of the target application, respective associated devices of the first device;

an execution level determining unit 830, configured to determine, based on the function profile, a first execution level of the first device for the target application and a second execution level of the respective associated device for the target application;

a target application optimization unit 840, configured to determine a target associated device from the associated devices based on the first execution level and the second execution level, and optimize the target application based on the target associated device.

The application optimization device provided by the invention determines each associated device of the first device in a device associated area of the first device with the target application deployed through the function profile of the target application, and determines a first execution level of the first device for the target application and a second execution level of each associated device for the target application according to the function profile; according to the first execution level and the second execution level, the target associated equipment is determined, the target application is optimized by the target associated equipment, linkage between the equipment and function complementation between the equipment are achieved, the defects that only single application can be achieved in the traditional scheme, the application range is narrow, equipment interconnection cannot be achieved, and the function complementation is difficult to achieve are overcome, through the dynamic direction preference between the equipment linkage, the application efficiency of the equipment can be improved, the application range can be widened, and the user experience is optimized.

Based on the above embodiment, the execution level determining unit 830 is configured to:

Based on the above embodiment, the target application optimization unit 840 is configured to:

and taking any associated equipment as target associated equipment when the comparison result indicates that the second execution level of the associated equipment is better than the first execution level.

taking any associated device as a candidate associated device under the condition that the comparison result indicates that the second execution level of the associated device is better than the first execution level;

the target application optimization unit 840 is configured to:

Based on the above embodiment, the function profile includes at least one of a collection function, an analysis function, and a presentation function;

the target application optimization unit 840 is configured to:

optimizing at least one of a capture function, an analysis function, and a presentation function in a functional profile of the target application based on the target-associated device.

Fig. 9 illustrates a physical structure diagram of an electronic device, and as shown in fig. 9, the electronic device may include: a processor (processor) 910, a communication Interface (Communications Interface) 920, a memory (memory) 930, and a communication bus 940, wherein the processor 910, the communication Interface 920, and the memory 930 communicate with each other via the communication bus 940. Processor 910 may invoke logic instructions in memory 930 to perform a method of application optimization, the method comprising: determining a target application to be optimized, wherein the target application is deployed on a first device; determining respective associated devices of the first device based on the device association area of the first device and the functional profile of the target application; determining, based on the functional profiles, a first execution level of the first device for the target application and a second execution level of the respective associated device for the target application; and determining target associated equipment from the associated equipment based on the first execution level and the second execution level, and optimizing the target application based on the target associated equipment.

Furthermore, the logic instructions in the memory 930 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the application optimization method provided by the above methods, the method comprising: determining a target application to be optimized, wherein the target application is deployed on a first device; determining respective associated devices of the first device based on the device association area of the first device and the functional profile of the target application; determining, based on the functional profiles, a first execution level of the first device for the target application and a second execution level of the respective associated device for the target application; and determining target associated equipment from the associated equipment based on the first execution level and the second execution level, and optimizing the target application based on the target associated equipment.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements a method for application optimization provided by the above methods, the method comprising: determining a target application to be optimized, wherein the target application is deployed on a first device; determining respective associated devices of the first device based on the device association area of the first device and the functional profile of the target application; determining, based on the functional profiles, a first execution level of the first device for the target application and a second execution level of the respective associated device for the target application; and determining target associated equipment from the associated equipment based on the first execution level and the second execution level, and optimizing the target application based on the target associated equipment.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An application optimization method, comprising:

2. The application optimization method of claim 1, wherein the determining a first execution level of the first device for the target application and a second execution level of the respective associated devices for the target application based on the function profile comprises:

3. The application optimization method of claim 2, wherein the determining a first execution level of the first device for the target application based on the function profile and device information of the first device comprises:

determining at least one of a first acquisition level, a first analysis level and a first presentation level of the first device for the target application based on the functional profile and device information of the first device;

the determining, based on the function profiles and the device information of the respective associated devices, a second execution level of the respective associated devices for the target application includes:

4. The application optimization method according to any one of claims 1 to 3, wherein the determining a target associated device from the respective associated devices based on the first execution level and the second execution level comprises:

comparing the first execution level of the first equipment with the second execution level of each associated equipment to obtain a comparison result;

5. The application optimization method according to claim 4, wherein the regarding any associated device as a target associated device in the case that the comparison result indicates that the second execution level of any associated device is better than the first execution level comprises:

6. The application optimization method according to any one of claims 1 to 3, wherein the device information further includes device location information and device communication information;

7. The application optimization method of claim 6, wherein the function profile comprises at least one of an acquisition function, an analysis function, and a presentation function;

the optimizing the target application based on the target association device includes:

8. An application optimization apparatus, comprising:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the application optimization method according to any one of claims 1 to 7 when executing the program.

10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the application optimization method according to any one of claims 1 to 7.