CN114064168A

CN114064168A - Interface optimization method and medical equipment

Info

Publication number: CN114064168A
Application number: CN202111114490.4A
Authority: CN
Inventors: 宋剑伟
Original assignee: Wuhan United Imaging Healthcare Co Ltd
Current assignee: Wuhan United Imaging Healthcare Co Ltd
Priority date: 2021-09-23
Filing date: 2021-09-23
Publication date: 2022-02-18

Abstract

The application relates to an interface optimization method and medical equipment. The method comprises the following steps: the cloud server acquires historical operation events generated by a user on the basis of a display interface of a business system, determines the historical operation times of each component on the display interface according to the historical operation events, and optimizes the arrangement of the components in the display interface according to the historical operation times of each component if the historical operation times of the components meet preset optimization triggering conditions to obtain an optimized arrangement interface. In the scheme, the click event of each component of each window by the user means the use frequency of each component of each window by the user, the arrangement of each component of each window in the display interface of the business system of the user is optimized based on the click event, the use habit of the user can be adapted to the maximum extent, the user can perform corresponding operation on the display interface of the business system more familiar, and therefore the efficiency of the user in using the business system is improved.

Description

Interface optimization method and medical equipment

Technical Field

The present application relates to the field of computer technologies, and in particular, to an interface optimization method and a medical device.

Background

The service systems in different scenes have interface arrangements which meet the current scene and meet the functions required by the current scene, for example, the interfaces of the service systems in the medical equipment comprise functional components related to medical diagnosis operation, functional components related to medical data analysis and the like.

In the using process of the actual service system, the operation habits of different users also have differences in the service system under the same service scene or on the same device. However, the interface configuration of the service system in the same service scenario or on the same device is substantially consistent, in which case, the efficiency of using the service system by the user is reduced.

Disclosure of Invention

In view of the above, it is necessary to provide an interface optimization method and a medical device capable of improving the service efficiency of a business system.

In a first aspect, a method for interface optimization is provided, including:

acquiring a historical operation event generated by a user based on a display interface of a service system;

determining the historical operation times of each component on the display interface according to the historical operation events;

and if the historical operation times of the components meet the preset optimization triggering conditions, optimizing the arrangement of the components in the display interface according to the historical operation times of the components to obtain an optimized arrangement interface.

In one optional embodiment, the step of enabling the historical operation times of the component to meet the preset optimization triggering condition includes:

the historical operation times of the component are greater than a first threshold; or the historical operation times of the component are larger than a first threshold, and the difference value between the historical operation times of the component and the historical operation times of at least one other component under the parent window where the component is located is larger than a second threshold.

In one optional embodiment, optimizing the arrangement of the components in the display interface according to the historical operation times of the components to obtain an optimized arrangement interface includes:

if the difference value between the historical operation times of the component and the historical operation times of other components under the parent window where the component is located is smaller than or equal to a third threshold value, obtaining the historical operation times of all the components under the parent window;

optimizing the component arrangement of the display interface according to the historical operation times of all the components under the parent window to obtain an optimized arrangement interface; the third threshold is greater than the second threshold.

In one optional embodiment, optimizing the component arrangement of the display interface according to the historical operation times of all the components in the parent window to obtain an optimized arrangement interface includes:

and arranging all the components in a descending order according to the historical operation times of all the components under the parent window to obtain an optimized arrangement interface.

In one optional embodiment, optimizing the arrangement of each component in the display interface according to the historical operation times of each component to obtain an optimized arrangement interface includes:

and if the difference value between the historical operation times of the component and the historical operation times of other components under the parent window where the component is located is larger than a third threshold value, determining the component with the largest operation time under the current parent window as a target component, and optimizing the component arrangement of the display interface according to the historical operation times of the target component to obtain an optimized arrangement interface.

In one optional embodiment, optimizing the component arrangement of the display interface according to the historical operation times of the target component to obtain an optimized arrangement interface includes:

acquiring historical average operation times of components of other parent windows; the other parent windows are the parent windows except the parent window where the target component is located in the display interface;

calculating the difference value between the historical operation times of the target component and the historical average operation times of the components of other parent windows, and determining the parent window with the minimum difference value as the target parent window;

generating an interface configuration request according to the identification of the target parent window and the identification of the target assembly, and sending the configuration request to a user terminal;

receiving a configuration result returned by the user terminal based on the configuration request; the configuration result comprises the arrangement position of the target assembly on the display interface;

and optimizing the component arrangement of the display interface according to the configuration result to obtain an optimized arrangement interface.

In one optional embodiment, the method further comprises:

acquiring historical highest operation times of all components under all parent windows in a display interface;

and optimizing the arrangement of each parent window in the display interface according to the historical highest operation times of each parent window to obtain an optimized arrangement interface.

In one optional embodiment, the method further comprises:

acquiring data of a local configuration interface of a service system at a user terminal;

and if the data of the local configuration interface is inconsistent with the data of the optimized configuration interface, sending the data of the optimized configuration interface to the user terminal so as to update the current local configuration interface of the service system.

In one optional embodiment, the method further comprises:

acquiring configuration information and a user-defined configuration file of an optimized configuration interface; the user-defined configuration file comprises a logic corresponding relation of each component in a display interface determined by a user;

and inputting the configuration information and the user-defined configuration file into an AI prediction model to obtain a prediction optimization configuration interface of the business system corresponding to the current user.

In one optional embodiment, the method further comprises:

acquiring a user behavior image through an image acquisition device of equipment where a service system is located;

extracting user behavior characteristics according to the user behavior image; the user behavior characteristics comprise a user dominant hand characteristic, the frequency of using the accessory equipment of the equipment by the user and the placement direction of the accessory equipment;

optimizing the arrangement of the components in the display interface according to the historical operation times of the components, wherein the optimization comprises the following steps:

and optimizing the arrangement of the components in the display interface according to the operation times and the user behavior characteristics of the components to obtain an optimized arrangement interface.

In a second aspect, there is provided an interface optimization method, including:

when a user is detected to log in a business system, sending data of a local configuration interface to a cloud server;

receiving data of the optimized configuration interface returned by the cloud server under the condition that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface;

loading an optimized configuration interface corresponding to the service system according to the data of the optimized configuration interface;

the optimized configuration interface is obtained by the cloud server determining the historical operation times of each component on the display interface according to the click event generated by the user based on the display interface of the service system, and optimizing the configuration of each component in the display interface according to the historical operation times of each component when the historical operation times of the components meet the preset optimization triggering condition.

In a third aspect, there is provided an interface optimization apparatus, comprising:

the acquisition module is used for acquiring historical operation events generated by a user based on a display interface of a service system;

the determining module is used for determining the historical operation times of each component on the display interface according to the historical operation events;

and the optimization module is used for optimizing the arrangement of the components in the display interface according to the historical operation times of the components under the condition that the historical operation times of the components meet the preset optimization triggering conditions to obtain an optimized arrangement interface.

In a fourth aspect, an interface optimization device is provided, which includes:

the sending module is used for sending data of a local configuration interface to the cloud server when a user is detected to log in the business system;

the receiving module is used for receiving the data of the optimized configuration interface returned by the cloud server under the condition that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface;

the loading module is used for loading the optimized configuration interface corresponding to the service system according to the data of the optimized configuration interface;

In a fifth aspect, a computer device is provided, comprising a memory storing a computer program and a processor implementing the method of the first aspect when the processor executes the computer program.

In a sixth aspect, a medical device is provided, which includes a display, a memory and a processor, wherein the memory stores a computer program, and the display is used for displaying a display interface of a business system; the processor is used for sending data of a local configuration interface to the cloud server, receiving data of an optimized configuration interface returned by the cloud server and loading the optimized configuration interface corresponding to the service system under the condition that the display interface is detected to trigger login operation;

the optimized configuration interface is an optimized configuration interface obtained by acquiring historical operation events generated by a display interface of a business system based on a user for the cloud server, determining the historical operation times of each component on the display interface according to the historical operation events, and optimizing the configuration of the components in the display interface according to the historical operation times of each component if the historical operation times of the components meet preset optimization triggering conditions.

In a seventh aspect, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, implements the method according to the first or second aspect.

According to the interface optimization method and the medical equipment, the cloud server obtains historical operation events generated by a user on the basis of a display interface of a service system, historical operation times of each component on the display interface are determined according to the historical operation events, and if the historical operation times of the components meet preset optimization triggering conditions, arrangement of the components in the display interface is optimized according to the historical operation times of the components, so that an optimized arrangement interface is obtained. In the scheme, the cloud server can obtain historical operation events of each component of each window of a display interface generated in the process of using the business system by a user, the clicking events of each component of each window mean the use frequency of each component of each window by the user, the arrangement of each component of each window in the display interface of the business system of the user is optimized based on the historical operation events, namely the use frequency of each component of each window by the user, the use habits of the user can be adapted to the maximum degree, and in the use process of the business system based on the optimized display interface, the user can perform corresponding operation of the display interface of the business system more familiar and more smooth, so that the efficiency of using the business system by the user is improved.

Drawings

FIG. 1 is a diagram of an application environment of a method for interface optimization according to an embodiment;

FIG. 2 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 3 is a schematic interface diagram of a medical terminal device service system in one embodiment;

fig. 4 is a schematic diagram illustrating operation times of window components generated by a certain user using a service system, which is acquired in an embodiment;

FIG. 5 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 6 is a schematic diagram of a business system interface in one implementation;

FIG. 7 is a schematic illustration of a business system interface in one implementation;

FIG. 8 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 9 is a schematic illustration of a business system interface in one implementation;

FIG. 10 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 11 is a schematic illustration of a business system interface in one implementation;

FIG. 12 is a schematic illustration of a business system interface in one implementation;

FIG. 13 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 14 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 15 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 16 is a schematic flow chart diagram illustrating a method for interface optimization in one embodiment;

FIG. 17 is a block diagram showing the structure of an interface optimization apparatus according to an embodiment;

FIG. 18 is a block diagram showing the structure of an interface optimization apparatus according to an embodiment;

FIG. 19 is a block diagram showing the structure of an interface optimization apparatus according to an embodiment;

FIG. 20 is a block diagram showing the structure of an interface optimization apparatus according to an embodiment;

FIG. 21 is a block diagram showing the structure of an interface optimization apparatus according to an embodiment;

FIG. 22 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The interface optimization method provided by the application can be applied to the application environment shown in fig. 1. The terminal 101 communicates with the cloud server 102 through a network. The terminal 101 may be a terminal installed with any one of the service systems, and in the field of medical technology, the terminal may be various types of medical equipment in which the medical service system is installed; in other technical fields, the terminal may be a computer device, in which a service system adapted to a working scene is installed, the terminal and the service system are not limited in this embodiment, and the cloud server 102 may be implemented by an independent server or a server cluster formed by a plurality of servers.

In the application scenario of a business system in the medical field, for example, when a doctor uses an ultrasound system to perform scanning, the use frequencies of the components in each window in a display page of the ultrasound system are different, and the use frequencies of the existing system components are high, but due to the logical design relationship of a parent window, the component may need to be found through several operation steps to trigger operation; there are also components that are used less frequently, but such components need only be found in one or two steps, or are located in the main display page of the ultrasound system.

In consideration of the problem that the use frequency of each component of each window in the service system is not equal to the logic of the component on the display interface, and the problem that the use frequency of each component personalized when a user uses the service system is different, the embodiment provides an interface optimization method for performing interface optimization on the display interface of the service system of each user according to the use habit of each user. For example, based on the above, in the application scenario of the ultrasound system, the usage of each component of each window by the doctor is obtained according to the user account number of the ultrasound system, the component with high usage frequency is set in the main display interface of the ultrasound system according to the usage, and the component with higher usage frequency is set in the secondary display interface of the ultrasound system, so as to generate the optimized interface arrangement scheme of the ultrasound system corresponding to the current doctor, so that the optimized interface arrangement can be loaded when the doctor logs in the ultrasound system in any ultrasound device. Therefore, doctors can realize more efficient operation of the business system in the process of using the business system based on the optimized interface arrangement.

The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that, in the interface optimization method provided in the embodiments of fig. 2 to fig. 15 of the present application, the execution main body is the cloud server, and may also be an interface optimization device, and the interface optimization device may be a part or all of the cloud server through software, hardware, or a combination of software and hardware. In the following method embodiments, the execution subject is a cloud server as an example for explanation.

In one embodiment, as shown in fig. 2, there is provided an interface optimization method, comprising the steps of:

s201, acquiring historical operation events generated by a user based on a display interface of a service system.

The service system can be a service system in any working scene, and in the technical field of medical treatment, the service system can be an ultrasonic scanning system, a CT scanning system and the like; in the field of vehicle technology, the business system may be a vehicle management system or the like. The user refers to a user who logs in the service system through a legally authorized account password.

The cloud server may receive a historical operation event sent by the terminal and generated by a user based on each component in the display interface, where the historical operation event is used to represent a historical use condition of the user for the component, and optionally, the historical operation event may be the number of times of operation of the user for each component, for example, the number of times of clicking, the number of times of dragging, the number of times of selection, and the like, generated by the user for each component operation; the click frequency, the dragging frequency, the selection frequency and the like of the user for each component can be counted for the terminal equipment. The historical operation event may be historical data generated by the terminal during the period when the terminal detects that the current user logs out of the service system, and correspondingly, the terminal sends the data to the cloud server after counting the data.

Optionally, the business system includes multiple stages of display interfaces, each stage of display interface includes multiple components under multiple windows, and each component corresponds to its unique identifier, for example, the identifier may be an ID or other unique identifier. Taking an ultrasound scanning system as an example, reference may be made to fig. 3, where fig. 3 is a schematic diagram of a display interface of an ultrasound scanning system, where the display interface includes a parent window ID: 101 and its following three components (ID: 10101, ID: 10102, ID: 10103), parent window ID: 102 and the following three components (ID: 10201, ID: 10202, ID: 10203), ultrasound scan preview interface. In the process that a user uses the ultrasonic scanning system, each time one component is triggered, the terminal can record the ID of the currently triggered component and the ID of a parent window where the currently triggered component is located, meanwhile, the number of times of using the component is increased by 1, optionally, the terminal can store the recorded data into a local space, and under the condition that the user logs out of a login service system, the data is sent to a cloud server as user historical data. Fig. 4 shows relevant data of click events of each component received by the cloud server, where fig. 4 shows statistics of the number of times of use of a part of components in a display interface during use of an ultrasound scanning system by a user (sector: Wang), where each component ID, a parent window ID where each component is located, an accumulated number of times of use, and a data update deadline.

And S202, determining the historical operation times of each component on the display interface according to the historical operation events.

In this embodiment, after receiving a historical operation event of each component on a display interface generated by a user using a service system, which is sent by a terminal, a cloud server acquires the historical operation times of each component according to the historical operation event of each component; optionally, referring to fig. 4, the cloud server may extract the operation times corresponding to each component according to the component ID according to the data in the table.

And S203, if the historical operation times of the components meet the preset optimization triggering conditions, optimizing the arrangement of the components in the display interface according to the historical operation times of the components to obtain an optimized arrangement interface.

The optimization triggering condition refers to that when the historical times of the component reach the optimization-needed degree, the historical operation times of the component are determined to meet the optimization triggering condition, and optionally, the optimization triggering condition may include that the historical operation times of the component are greater than a first threshold value. For example, the first threshold is 80 or other, when the historical operation times of the components are greater than 80, which means that the frequency of using the components by the user has reached the degree that needs to be optimized, then the arrangement optimization is performed based on the historical operation times of the components in the display interface; if the historical operation times of the component is less than 80 times, the use frequency of the component can be considered to be not optimized, that is, the user may not use the component frequently, and the initial arrangement position of the component can be kept unmodified.

Optionally, the optimization triggering condition may also be that the historical operation times of the clicked component is greater than a first threshold, and the difference between the historical operation times of the component and the historical operation times of at least one other component under the parent window where the component is located is greater than a second threshold.

Here, the first threshold value may be 80 or others, the second threshold value may be 10 or others, and the second threshold value is a smaller value; the first threshold is used to represent the frequency of use of the components and the second threshold is used to represent the frequency difference of use between the components. Assuming that the parent window 101 includes three components, which are 10101, 10102 and 10103 respectively, if the operation times of the three components are 88, 90 and 92 respectively, the operation times of the three components all exceed a first threshold, but the difference between the operation times of any two of the three components is smaller than a second threshold, in this case, the use frequencies of the three components are considered to be close, the arrangement of the three components does not need to be optimized, that is, the optimization triggering condition is not satisfied; if the operation times of the three components are respectively 80, 100 and 110, the initial arrangement sequence is the component 10101, the component 10102 and the component 10103, the operation times of the three components all exceed a first threshold, and the difference between the operation times of the component 10103 and the operation times of the component 10101 is greater than a second threshold, in this case, it is considered that the frequency of using the component 10103 by a user is higher, the frequency of using the component 10101 is lower, the arrangement of the three components needs to be optimized, that is, the current situation meets the optimization triggering condition, and optionally, the arrangement sequence after optimization may be the component 10103, the component 10102 and the component 10101.

Alternatively, the optimization triggering condition may be that the sum of the operation times of all the components under the same parent window is greater than a fourth threshold. Where the fourth threshold may be 200 or otherwise.

The configuration optimization between the parent windows is mainly aimed at in the case that the configuration optimization between the parent windows is performed, when the sum of the operation times of all the components in one parent window is greater than a fourth threshold, it is considered that the frequency of using the parent window by a user is high, if the initial configuration of the parent window is in a secondary or subordinate display interface, it is determined that the condition meets the optimization triggering condition, and the configuration optimization needs to be performed on the parent window, so that the parent window can be arranged in the main display interface with high priority.

In this embodiment, after determining that the operation times of the components under each parent window in the display interface satisfy the optimization triggering condition, the cloud server may perform optimization of the display interface arrangement according to a preset optimization method, for example, corresponding optimization is performed for different scenes satisfying the optimization triggering condition, for example, optimization for each component under the same parent window may be optimization in the arrangement order; the optimization between different parent windows can be the arrangement optimization on the display interfaces of different levels, and the specific mode of the optimization is not limited in this embodiment, so that the purpose is to arrange the components or parent windows with higher use frequency into the arrangement of the display interfaces with more intuitive use and higher priority.

In the interface optimization method, the cloud server acquires historical operation events generated by a user based on a display interface of a service system, determines the historical operation times of each component on the display interface according to the historical operation events, and optimizes the arrangement of the components in the display interface according to the historical operation times of each component if the historical operation times of the components meet preset optimization triggering conditions to obtain an optimized arrangement interface. In the scheme, the cloud server can obtain historical operation events of each component of each window of a display interface generated in the process of using the business system by a user, the clicking events of each component of each window mean the use frequency of each component of each window by the user, the arrangement of each component of each window in the display interface of the business system of the user is optimized based on the historical operation events, namely the use frequency of each component of each window by the user, the use habits of the user can be adapted to the maximum degree, and in the use process of the business system based on the optimized display interface, the user can perform corresponding operation of the display interface of the business system more familiar and more smooth, so that the efficiency of using the business system by the user is improved.

Specifically, in one of the scenarios of performing layout optimization, in one of the optional embodiments, as shown in fig. 5, optimizing the layout of the components in the display interface according to the historical operation times of each component to obtain an optimized layout interface includes:

s301, if the difference value between the historical operation times of the component and the historical operation times of other components under the parent window where the component is located is smaller than or equal to a third threshold value, obtaining the historical operation times of all the components under the parent window.

Wherein the third threshold is greater than the second threshold. Here, the third threshold is used to indicate a case where there is a difference between the operation times of the components under the same parent window, but the difference is not much necessary for the arrangement optimization.

In this embodiment, the third threshold may be 50, and as described in the above example, if the operation times of the three

components

10101, 10102, and 10103 in the parent window 101 are 89, 60, and 85 respectively, the initial arrangement order is the component 10101, the component 10102, and the component 10103, where the operation times of the components 10101 and the component 10103 both exceed the first threshold 80, and the difference between the operation times of any two components is smaller than the third threshold 50, in this case, the historical operation times of all the components in the parent window are obtained, that is, the operation times corresponding to the

components

10101, 10102, and 10103 are determined to be 89, 60, and 85 respectively.

S302, optimizing the component arrangement of the display interface according to the historical operation times of all the components under the parent window to obtain an optimized arrangement interface.

In this embodiment, after the operation times of each component under the parent window are determined, sorting is performed according to the operation times of each component, and based on a sorting result, the arrangement of each component on the display interface is optimized to obtain an optimized arrangement interface.

Optionally, in one optional embodiment, optimizing the component arrangement of the display interface according to the historical operation times of all components in the parent window to obtain an optimized arrangement interface includes:

In the present embodiment, for example, referring to fig. 3, the parent window 101 includes a component 10101, a component 10102, and a component 10103 thereunder, and the

components

10101, 10102, and 10103 are arranged in the initial order. According to the embodiment given in fig. 5, it is determined that the historical operation times of the component 10101, the component 10102, and the component 10103 under the parent window 101 are 89, 60, and 85, respectively, all the components are arranged in descending order according to the historical operation times to obtain 89, 85, and 60, the corresponding components are the component 10101, the component 10103, and the component 10102, respectively, and the arrangement interface formed after the display interface is optimally arranged may refer to fig. 6, where as shown in fig. 6, the arrangement of the components under the parent window 101 is the component 10101, the component 10103, and the component 10102, which is not limited in this embodiment.

In another scenario of performing layout optimization, in one optional embodiment, optimizing the layout of each component in the display interface according to the historical operation times of each component to obtain an optimized layout interface includes:

In this embodiment, still referring to fig. 6, in the display interface of fig. 6, the initial arrangement of the display interface includes that the parent window 101 includes a component 10101, a component 10102, a component 10103, and a component 10104, and as shown in fig. 6, 4 components are all disposed on the left side of the display interface. In a scenario, the operation times of the cloud server obtaining the 4 components in the parent window 101 are respectively 89 operation times of the component 10101, 60 operation times of the component 10102, 85 operation times of the component 10103, and 124 operation times of the component 10104, which are more frequent than the historical operation times 89, 60, and 85 of the

other components

10101, 10102, and 10103 in the parent window, and a difference between the historical operation times of the component 10104 and the component 10102 is greater than a third threshold 50, which indicates that the component 10104 is more frequent than the frequency of use of the other components in the parent window, in this case, the component 10104 is determined as a target component, and the arrangement of the display interface of the target component is optimized. Optionally, a parent window with a difference smaller than a difference threshold from the operation times of the component 10104 may be determined according to the operation times of the components of other parent windows, as shown in fig. 7, the difference threshold is set to 10, the operation times of the component 10201 in the parent window 102 is 120, the operation times of the component 10202 in the parent window is 125, and the difference between the operation times of the component 10201 or the component 10202 and the operation times of the component 10104 is smaller than the difference threshold 10, at this time, the cloud server may optimize the component 10104 to the layout of the parent window 102; however, because the designed underlying logics are different between different parent windows, preferably, the cloud server may further generate an optimization request for the component 10104 according to the component 10104 and each component in the parent window 102, send the optimization request to the terminal, so that the user determines whether optimization needs to be performed, and perform configuration optimization on the display interface of the component 10104 according to an optimization scheme returned by the user, thereby obtaining an optimized configuration interface.

Further, the optimization method for the target component specifically includes, as shown in fig. 8, optimizing the component arrangement of the display interface according to the historical operation times of the target component to obtain an optimized arrangement interface, including:

s401, acquiring historical average operation times of components of other parent windows; and the other parent windows are the parent windows of the display interface except the parent window where the target component is positioned.

In this embodiment, as described in the foregoing embodiment, referring to fig. 7, the cloud server determines that the parent window of the target component 10104 is 101, and obtains other parent windows except 101, for example, obtains the historical average operation times of all components in the parent window 102, where the operation times of the component 10201 in the parent window 102 is 120, the operation times of the component 10202 is 125, and the average operation times is 122.5. Optionally, the cloud server may further obtain an average operation time of all components of the parent window 105 in the secondary display interface as 60.

S402, calculating the difference value between the historical operation times of the target component and the historical average operation times of the components of other parent windows, and determining the parent window with the minimum difference value as the target parent window.

In this embodiment, the cloud server calculates that the average operation frequency of all components in the parent window 102 is 122.5, the average operation frequency of all components in the parent window 105 is 60, an absolute value of a first difference between the average operation frequency 122.5 of the parent window 102 and the operation frequency 124 of the component 10104 is 1.5, and an absolute value of a second difference between the average operation frequency of the parent window 105 is 60 and the operation frequency 124 of the component 10104 is 64. The cloud server determines that the first difference is the minimum difference, and determines the parent window 102 as the target parent window of component 10104.

S403, generating an interface configuration request according to the identification of the target parent window and the identification of the target component, and sending the configuration request to the user terminal.

Wherein, the identifier can be a window ID and a component ID; or may also be a window url, a component url, or may also be other unique identifiers.

In this embodiment, the cloud server determines the target parent window of the component 10104, that is, determines the candidate optimization scheme of the component 10104, at this time, the cloud server may generate an interface configuration request from the ID of the target parent window and the ID of the target component, and send the interface configuration request to the user terminal, so that the user determines the interface optimization scheme according to the interface configuration request.

S404, receiving a configuration result returned by the user terminal based on the configuration request; the configuration result comprises the arrangement position of the target assembly on the display interface.

In this embodiment, the configuration result returned by the user terminal includes the logical configuration relationship among the components, the arrangement relationship among the components in different parent windows, the final arrangement position of the target component in the display interface, and the like.

S405, optimizing the component arrangement of the display interface according to the configuration result to obtain an optimized arrangement interface.

In this embodiment, the cloud server determines a final arrangement position of the target component in the display interface, a logical configuration relationship between the components, and an arrangement relationship between the components under different parent windows according to a configuration result sent by the user, so as to optimize the component arrangement in the display interface, and obtain an optimized arrangement interface. Illustratively, the updated ID of component 10104 in the configuration result is 10204, whose final placement position is in the component ordering of parent window 102. As shown with reference to fig. 9.

In this embodiment, the cloud server may optimize the arrangement of the components under different parent windows according to different arrangement optimization manners, for example, for the optimization of the components under the same parent window, the cloud server may directly optimize the descending arrangement of the components under the parent windows; aiming at the optimization of the components under different parent windows, the cloud server can generate an optimization request to obtain an optimization scheme determined by a user so as to optimize the arrangement of the components, so that the optimal arrangement of a display interface which best meets the habit of the user is generated, and the optimization precision is more accurate.

In addition to interface optimization from component dimensions, interface optimization may also be performed from parent window dimensions, as shown in fig. 10, and in one optional embodiment, the method further includes:

s501, acquiring historical highest operation times of all components under all parent windows in a display interface.

In this embodiment, the cloud server can also perform overall arrangement optimization on the parent window. For example, the cloud server may further determine the historical highest operation times of all components in each parent window, for example, if the parent window 101 includes the component 10101, the component 10102, and the component 10103, the operation times are 89, 60, and 85, respectively, then the historical highest operation time of the parent window 101 is 89.

And S502, optimizing the arrangement of each father window in the display interface according to the historical highest operation times of each father window to obtain an optimized arrangement interface.

In the embodiment, the initial sequence of parent window 101, parent window 102 and parent window 103 is set as 102, 101 and 103, wherein the parent window 103 is in the secondary display interface. As shown with reference to fig. 11. The cloud server can optimize the parent window 103 from a secondary display interface to a main display interface, wherein the historical highest operation times 120 of the parent window 101, the historical highest operation times 125 of the parent window 102, and the historical highest operation times 121 of the parent window 103 are included. Or, optionally, referring to fig. 11, there is a component 10302 with an operation frequency of 40 in the parent window 103, and the usage frequency of the component is lower and is far lower than that of the component 10301, the parent window 101, and the parent window 102, at this time, the cloud server may consider optimizing only the component 10301, because the operation frequency 121 of the component 10301 is greater than the historical highest operation frequency of the parent window 101, and the operation frequency of the component 10301 is smaller than the historical highest operation frequency of the parent window 102, at this time, the cloud server may use the parent window 102 as a target parent window of the component 10301, generate an interface configuration request, and send the configuration request to the user terminal, thereby performing interface optimization according to the received configuration result. The optimized interface can be seen with reference to fig. 12.

In this embodiment, the highest operation times of the parent window determines the use frequency of the parent window to a certain extent, and therefore, the arrangement optimization of different parent windows on the display interface is performed based on the highest operation times of the parent window, and the use habits of users on different parent windows can be better matched.

After obtaining the optimized configuration interface, before the user logs in the service system loading interface, the local configuration interface may be further updated and determined, as shown in fig. 13, in an alternative embodiment, the method further includes:

s601, acquiring data of a local configuration interface of the service system at the user terminal.

In this embodiment, when detecting that the user logs in the system, the cloud server may send a request for acquiring data of the local configuration interface to the terminal, and acquire the data of the local configuration interface from the current user in the local storage space of the terminal.

And S602, if the data of the local configuration interface is inconsistent with the data of the optimized configuration interface, sending the data of the optimized configuration interface to the user terminal so as to update the current local configuration interface of the business system.

In this embodiment, if the cloud server determines that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface, that is, the usage frequency of each component of the display interface in the service system of the user changes, and the cloud server optimizes the configuration of the display interface of the service system of the user, at this time, the cloud server sends the data of the optimized configuration interface to the user terminal, so that the terminal loads the optimized display interface of the service system according to the received data of the optimized configuration interface. And if the data of the local arrangement interface is consistent with the data of the optimized arrangement interface, returning null response or other responses for instructing the terminal to load the local arrangement interface in the local storage space to the terminal.

In this embodiment, the cloud server returns the data of the optimized configuration interface to the terminal only when it is determined that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface, and if the data of the local configuration interface is consistent with the data of the optimized configuration interface, the terminal directly loads the local data, so that data interaction between the terminal and the cloud server is reduced, and waste of resources is reduced.

Further, the user-customized layout interface prediction may be performed according to the historical layout interface, as shown in fig. 14, in an alternative embodiment, the method further includes:

s701, obtaining configuration information and a user-defined configuration file of an optimized configuration interface; the custom configuration file comprises the logical corresponding relation of each component in the display interface determined by the user.

In this embodiment, the cloud server may further obtain configuration information of an optimized configuration interface formed by different users at different terminals and a logical correspondence relationship between each component in the display interface.

And S702, inputting the configuration information and the user-defined configuration file into an AI prediction model to obtain a prediction optimization configuration interface of the business system corresponding to the current user.

In this embodiment, the cloud server inputs the configuration information of the current user and the custom configuration file into the AI prediction model to obtain a prediction optimization configuration interface of the current user, where the AI prediction model may be any neural network prediction model. Optionally, the cloud server may further input configuration information and a custom configuration file of different users in different regions into the AI prediction model to obtain a predicted optimized configuration interface of the users under the same characteristics, for example, in the medical technology field, a predicted optimized configuration interface of a user of a certain department under the condition that the certain scanning service is executed is obtained for different departments or for different types of scanning services.

In this embodiment, the cloud server may perform the prediction of the optimal configuration interface based on the historical user data, and obtain the optimal configuration interface that is more intelligent, more accurate, and more suitable for the user habit by combining the existing big data AI prediction analysis technology.

In order to better adapt to the personalized needs of the user, the interface arrangement may also be optimized by collecting information such as the dominant hand of the user, and in one optional embodiment, as shown in fig. 15, the method further includes:

s801, acquiring a user behavior image through an image acquisition device of equipment where a service system is located.

In this embodiment, the cloud server may further obtain a user behavior image, which is acquired by the image acquisition device on the terminal and used in the process of using the service system by the user, where the user behavior image is used to analyze a behavior habit of the user when using the service system.

S802, extracting user behavior characteristics according to the user behavior image; the user behavior characteristics include a user dominant hand characteristic, a frequency with which the user uses the accessory device of the device, and a placement direction of the accessory device.

In this embodiment, the dominant hand feature of the user, the posture feature of using the business system, the number of times of using the accessory device in the business system, the dominant placing direction after using the accessory device, and the like, which are expressed in the user behavior image by the user, are determined by performing image recognition and image analysis on the acquired user behavior image. For example, in the medical technology field, the accessory device may be an ultrasound probe of a system of ultrasound devices.

And S803, optimizing the arrangement of the components in the display interface according to the operation times and the user behavior characteristics of the components to obtain an optimized arrangement interface.

In this embodiment, the cloud server further optimizes the optimal configuration interface of the current user according to the acquired user behavior characteristics, that is, optimizes the configuration interface according to the operation times of the user on each component in the display interface and the user behavior characteristics. For example, if the dominant hand of the user is the right hand, the components with higher use frequency are arranged to the right side of the display interface; and if the dominant hand of the user is the left hand, arranging the components with higher use frequency to the left side of the display interface, wherein the determination mode of the dominant hand can be determined by counting the times of the dominant hand, for example, if the dominant hand of the user is used for operating the business system for more than 50 times, determining that the dominant hand of the user is the right hand.

In this embodiment, the cloud server can optimize the configuration interface of the user according to the basic information (the operation times of the components) generated by the user, and further, can further optimize the configuration interface of the user according to the off-site factors (the information such as the hands used for the first time) of the user, so that the configuration interface is optimized more accurately, and the usage habits of the user are better met.

The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that the interface optimization method provided in the embodiment of fig. 16 of the present application has an execution main body which is a terminal, and may also be an interface optimization device, and the interface optimization device may be a part or all of the terminal in a software, hardware, or a combination of software and hardware. In the following method embodiments, the execution subject is taken as an example to be described.

In one embodiment, as shown in fig. 16, there is provided an interface optimization method, including the steps of:

s901, when detecting that a user logs in the service system, sending data of a local configuration interface to a cloud server.

In this embodiment, when the terminal detects that the user logs in the service system, that is, before the terminal loads the display interface of the service system, the terminal sends the data of the local arrangement interface corresponding to the user ID from the local storage space to the cloud server according to the user identifier, for example, the user ID.

And S902, receiving the data of the optimized configuration interface returned by the cloud server under the condition that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface.

In this embodiment, the fact that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface means that the number of times that the current user uses each component in the display interface of the business system changes, the configuration of the display interface of the user is optimized by the cloud server for the change, and at this time, the terminal receives the data of the optimized configuration interface returned by the cloud server.

And S903, loading the optimized configuration interface corresponding to the service system according to the data of the optimized configuration interface.

The specific process of determining the optimal configuration interface by the cloud server may refer to the embodiments provided in fig. 2 to fig. 14. In this embodiment, the terminal receives data of an optimized configuration interface, where the data includes configuration positions, configuration logics, and the like of each component in the display interface, and the terminal loads and displays an optimized configuration interface corresponding to a service system corresponding to a current user according to the data of the optimized configuration interface, which is not limited in this embodiment.

In this embodiment, the terminal may interact with the cloud server to determine the latest optimized configuration interface of the user before the user logs in, so that the latest optimized configuration interface is loaded for the current user, personalized loading of the user display interface is realized, and the operation experience of the user is improved.

The implementation principle and technical effect of the interface optimization method provided by the above embodiment are similar to those of the above embodiment, and are not described herein again.

It should be understood that although the various steps in the flow charts of fig. 2-16 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-16 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.

In one embodiment, as shown in fig. 17, there is provided an interface optimization apparatus including: an obtaining module 01, a determining module 02 and an optimizing module 03, wherein:

the acquisition module 01 is used for acquiring historical operation events generated by a user based on a display interface of a service system;

the determining module 02 is used for determining the historical operation times of each component on the display interface according to the historical operation events;

and the optimizing module 03 is configured to optimize the arrangement of the components in the display interface according to the historical operation times of the components when the historical operation times of the components meet a preset optimization triggering condition, so as to obtain an optimized arrangement interface.

In one optional embodiment, the condition that the historical operation times of the component meet the preset optimization triggering condition includes the following conditions:

In one optional embodiment, the optimization module 03 is configured to obtain the historical operation times of all the components in the parent window if the difference between the historical operation times of the components and the historical operation times of other components in the parent window where the components are located is less than or equal to a third threshold; optimizing the component arrangement of the display interface according to the historical operation times of all the components under the parent window to obtain an optimized arrangement interface; the third threshold is greater than the second threshold.

In one optional embodiment, the optimizing module 03 is configured to arrange all the components in a descending order according to the historical operation times of all the components in the parent window, so as to obtain an optimized arrangement interface.

In one optional embodiment, the optimizing module 03 is configured to determine, if a difference between the historical operation times of the component and the historical operation times of other components in the parent window where the component is located is greater than a third threshold, the component with the largest operation time in the current parent window as the target component, and optimize the component arrangement of the display interface according to the historical operation times of the target component to obtain the optimized arrangement interface.

In an alternative embodiment, the optimizing module 03 is configured to obtain historical average operation times of components of other parent windows; the other parent windows are the parent windows except the parent window where the target component is located in the display interface; calculating the difference value between the historical operation times of the target component and the historical average operation times of the components of other parent windows, and determining the parent window with the minimum difference value as the target parent window; generating an interface configuration request according to the identification of the target parent window and the identification of the target assembly, and sending the configuration request to a user terminal; receiving a configuration result returned by the user terminal based on the configuration request; the configuration result comprises the arrangement position of the target assembly on the display interface; and optimizing the component arrangement of the display interface according to the configuration result to obtain an optimized arrangement interface.

In one optional embodiment, the optimization module 03 is further configured to obtain historical maximum operation times of all components under all parent windows in the display interface; and optimizing the arrangement of each parent window in the display interface according to the historical highest operation times of each parent window to obtain an optimized arrangement interface.

In an optional embodiment, as shown in fig. 18, the interface optimization apparatus further includes a detection module 04, configured to obtain data of a local configuration interface of the service system at the user terminal; and if the data of the local configuration interface is inconsistent with the data of the optimized configuration interface, sending the data of the optimized configuration interface to the user terminal so as to update the current local configuration interface of the service system.

In one optional embodiment, as shown in fig. 19, the interface optimization apparatus further includes a prediction module 05, configured to obtain configuration information and a custom configuration file of the optimized configuration interface; the user-defined configuration file comprises a logic corresponding relation of each component in a display interface determined by a user; and inputting the configuration information and the user-defined configuration file into an AI prediction model to obtain a prediction optimization configuration interface of the business system corresponding to the current user.

In one alternative embodiment, as shown in fig. 20, the interface optimization device further includes an acquisition module 06;

the acquisition module 06 is used for acquiring the user behavior image through an image acquisition device of the equipment where the service system is located; extracting user behavior characteristics according to the user behavior image; the user behavior characteristics comprise a user dominant hand characteristic, the frequency of using the accessory equipment of the equipment by the user and the placement direction of the accessory equipment;

the optimizing module 03 is further configured to optimize the arrangement of the components in the display interface according to the operation times and the user behavior characteristics of the components, so as to obtain an optimized arrangement interface.

In another embodiment, as shown in fig. 21, there is provided an interface optimization apparatus including: a sending module 11, a receiving module 12 and a loading module 13, wherein:

the sending module 11 is configured to send data of a local configuration interface to the cloud server when it is detected that the user logs in the service system;

the receiving module 12 is configured to receive data of the optimized configuration interface returned by the cloud server under the condition that the data of the local configuration interface is inconsistent with the data of the optimized configuration interface;

the loading module 13 is configured to load the optimized configuration interface corresponding to the service system according to the data of the optimized configuration interface;

For the specific definition of the interface optimization device, reference may be made to the definition of the interface optimization method above, and details are not described here. The modules in the interface optimization device can be implemented in whole or in part by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 22. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement an interface optimization method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 22 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

The implementation principle and technical effect of the computer device provided by the above embodiment are similar to those of the above method embodiment, and are not described herein again.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.

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 hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method for interface optimization, the method comprising:

and if the historical operation times of the components meet preset optimization triggering conditions, optimizing the arrangement of the components in the display interface according to the historical operation times of the components to obtain an optimized arrangement interface.

2. The method of claim 1, wherein the historical number of operations of the component satisfying the preset optimization triggering condition comprises:

the historical number of operations of the component is greater than a first threshold; or, the historical operation times of the component are greater than the first threshold, and the difference between the historical operation times of the component and the historical operation times of at least one other component under the parent window where the component is located is greater than a second threshold.

3. The method of claim 2, wherein optimizing the arrangement of the components in the display interface according to the historical operation times of each of the components to obtain an optimized arrangement interface comprises:

if the difference value between the historical operation times of the component and the historical operation times of other components under the parent window of the component is smaller than or equal to a third threshold value, acquiring the historical operation times of all the components under the parent window;

optimizing the component arrangement of the display interface according to the historical operation times of all the components under the parent window to obtain the optimized arrangement interface; the third threshold is greater than the second threshold.

4. The method according to claim 3, wherein the optimizing the component arrangement of the display interface according to the historical operation times of all the components under the parent window to obtain the optimized arrangement interface comprises:

and arranging all the components in a descending order according to the historical operation times of all the components under the parent window to obtain the optimized configuration interface.

5. The method of claim 2, wherein optimizing the arrangement of each of the components in the display interface according to the historical operation times of each of the components to obtain an optimized arrangement interface comprises:

and if the difference value between the historical operation times of the component and the historical operation times of other components under the parent window of the component is larger than the third threshold value, determining the component with the largest operation time under the current parent window as a target component, and optimizing the component arrangement of the display interface according to the historical operation times of the target component to obtain the optimized arrangement interface.

6. The method according to claim 5, wherein the optimizing the component arrangement of the display interface according to the historical operation times of the target component to obtain the optimized arrangement interface comprises:

acquiring historical average operation times of components of other parent windows; the other parent windows are parent windows of the display interface except the parent window where the target component is located;

calculating the difference value between the historical operation times of the target component and the historical average operation times of the components of other parent windows, and determining the parent window with the minimum difference value as a target parent window;

generating an interface configuration request according to the identification of the target parent window and the identification of the target component, and sending the configuration request to a user terminal;

and optimizing the component arrangement of the display interface according to the configuration result to obtain the optimized arrangement interface.

7. The method according to any one of claims 1-6, further comprising:

acquiring historical highest operation times of all components under all parent windows in the display interface;

and optimizing the arrangement of the parent windows in the display interface according to the historical highest operation times of the parent windows to obtain the optimized arrangement interface.

8. The method according to any one of claims 1-6, further comprising:

acquiring data of a local configuration interface of the service system at a user terminal;

and if the data of the local configuration interface is inconsistent with the data of the optimized configuration interface, sending the data of the optimized configuration interface to the user terminal so as to update the current local configuration interface of the business system.

9. The method according to any one of claims 1-6, further comprising:

extracting user behavior characteristics according to the user behavior image; the user behavior characteristics comprise a user dominant hand characteristic, a frequency of using the accessory device of the device by the user, and a placement direction of the accessory device;

the optimizing the arrangement of the components in the display interface according to the historical operation times of the components comprises the following steps:

and optimizing the arrangement of the components in the display interface according to the operation times of the components and the user behavior characteristics to obtain the optimized arrangement interface.

10. A medical device comprising a display, a memory and a processor, the memory storing a computer program, wherein the display is configured to display a display interface of a business system; the processor is used for sending data of a local configuration interface to the cloud server, receiving data of an optimized configuration interface returned by the cloud server and loading the optimized configuration interface corresponding to the service system under the condition that the display interface is detected to trigger login operation;

the optimized configuration interface is an optimized configuration interface obtained by acquiring a historical operation event generated by the user based on a display interface of the business system for the cloud server, determining the historical operation times of each component on the display interface according to the historical operation event, and optimizing the configuration of the components in the display interface according to the historical operation times of each component if the historical operation times of the components meet a preset optimization triggering condition.