Intelligent grouping method and content intelligent display method and device for screen analysis controls

Abstract

This application provides a method and device for intelligent grouping of screen analysis controls and intelligent display of content. The method includes: obtaining display interface information of the current user, and determining process information events based on the display interface information; generating a screen display interface through a responsibility inquiry control arrangement model based on the information events and the role matching relationship corresponding to the process information events; updating the display order of at least two controls based on user click preferences, process information events, and a priority model; performing problem trend analysis based on the current task to determine a trend analysis result, and performing intelligent judgment of the impact surface based on the trend analysis result and a business relevance association relationship model to determine an impact surface result, and performing graphical difference enhancement display based on the impact surface result. Through intelligent grouping of controls and intelligent display of content, the efficiency and quality of users using the screen to conduct business, manage business, analyze business, and query information on the same platform are improved, and the efficiency and scientificity of system business data application are enhanced.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of data processing, and particularly to a method for intelligent grouping of screen analysis controls and intelligent display of content. Background Art

[0002] Currently, with the development of enterprises, there is a demand for various business management systems to carry out screen displays, fully integrating task to-do, chart-based comprehensive analysis, and integrated display of internal and external information events, rather than simply a business processing workbench configured by the business system itself to support task to-do, report query, notification, and message viewing.

[0003] At present, most screen designs have solved the problems of comprehensive graphing, multi-element and multi-control combination, and data comprehensive display. However, there is still a gap from simple, differentiated, and personalized assembly of controls and personalized layout of the screen canvas. Many technologies either do not support simple assembly, or cannot be assembled differentially, or the screen canvas is completely custom-developed, falling short of what users expect.

[0004] At present, there is still a gap in integrating business handling, control, analysis, and query for screen users centered around the user. There is often a gap in freely switching between controls for handling, managing, and analyzing. There is an urgent need for a new technical solution for intelligent grouping of screen analysis controls and intelligent display of content centered around the user. Summary of the Invention

[0005] In view of this, the embodiments of this specification provide a method for intelligent grouping of screen analysis controls and intelligent display of content. One or more embodiments of this specification also relate to an apparatus for intelligent grouping of screen analysis controls and intelligent display of content, a computing device, a computer-readable storage medium, and a computer program to solve the technical defects existing in the prior art.

[0006] According to the first aspect of the embodiments of this specification, a method for intelligent grouping of screen analysis controls and intelligent display of content is provided, including:

[0007] Obtain the display interface information of the current user, and determine the process information event based on the display interface information;

[0008] Based on the role matching relationship corresponding to the information event and the process information event, generate a screen display interface through the responsibility inquiry control arrangement model; wherein, the screen display interface includes at least two controls;

[0009] Obtain the user click preference, and update the display order of at least two controls based on the user click preference, the process information event, and the priority model;

[0010] Obtain the current task, perform problem trend analysis based on the current task, determine the trend analysis results, and make intelligent impact judgments based on the trend analysis results and the business relevance relationship model, determine the impact surface results, and perform graphical difference enhancement display based on the impact surface results.

[0011] In one possible implementation, based on the role matching relationship between information events and process information events, a screen display interface is generated through a responsibility query control arrangement model, including:

[0012] Determine the role based on the role matching relationship between information events and process information events;

[0013] Automatically adapt the control positions based on the role's corresponding responsibility and knowledge business model to determine the role module, responsibility module, inquiry module, and knowledge module. The role module represents the transactions the role needs to handle, the responsibility module represents the results the role needs to bear, the inquiry module represents the content the role needs to output or analyze, and the knowledge module represents the information the role needs to know.

[0014] Generate a screen display interface based on the job module, responsibility module, inquiry module and knowledge module.

[0015] In one possible implementation, generating a screen display interface based on the job module, the responsibility module, the inquiry module, and the knowledge module includes:

[0016] Generate tree nodes based on job module, responsibility module, inquiry module and knowledge module;

[0017] Generate a tree structure module based on tree nodes;

[0018] Obtain node data of the target node and related nodes, and change the display status of the target node and related nodes based on the node data and data processing rules.

[0019] In one possible implementation, generating a screen display interface based on the job module, the responsibility module, the inquiry module, and the knowledge module includes:

[0020] Determine node data based on job module, responsibility module, inquiry module and knowledge module;

[0021] Determine node warning information and node control information based on node data;

[0022] Generate an instrument display module based on node warning information and node control information.

[0023] In one possible implementation, obtaining a user click preference, and updating a display order of at least two controls based on the user click preference, a process information event, and a priority model include:

[0024] Obtain the priority tags and the number of problems for the user click frequency and process information events;

[0025] Based on the user click frequency, priority tags, and the number of problems, update the display order of at least two controls by highlighting the control threshold.

[0026] In a possible implementation, perform a problem trend analysis based on the current task, determine the trend analysis result, and perform an intelligent impact surface judgment based on the trend analysis result and the business relevance association relationship model to determine the impact surface result, including:

[0027] Obtain the historical passing rate, historical processing efficiency, and historical processing time points of the current task for multi-factor dynamic profiling to determine the task profile;

[0028] Determine the trend analysis result based on the task profile and the exponential smoothing prediction algorithm;

[0029] Perform an intelligent impact surface judgment based on the trend analysis result, the problem correlation principle, and the point-to-surface judgment reasoning data model to determine the impact surface result.

[0030] In a possible implementation, the exponential smoothing prediction algorithm includes:

[0031] Trend analysis result = A × Processing result in the first time period + B × Processing result in the second time period + C × Processing result in the third time period;

[0032] Where A is the first weight, B is the second weight, C is the third weight, A + B + C = 1, and A > B > C.

[0033] According to the second aspect of the embodiments of this specification, there is provided a method and device for intelligent grouping of screen analysis controls and intelligent display of content, including:

[0034] An information acquisition module, configured to acquire the display interface information of the current user and determine the process information event based on the display interface information;

[0035] A display generation module, configured to generate a screen display interface based on the information event and the role matching relationship corresponding to the process information event through a responsibility inquiry control arrangement model; wherein, the screen display interface includes at least two controls;

[0036] A control sorting module, configured to acquire the user click preference and update the display order of at least two controls based on the user click preference, process information event, and priority model;

[0037] The intelligent analysis module is configured to obtain the current task, perform problem trend analysis based on the current task, determine the trend analysis result, perform intelligent judgment of the impact surface based on the trend analysis result and the business relevance association model, determine the impact surface result, and perform graphical difference enhancement display based on the impact surface result.

[0038] According to the third aspect of the embodiments of the present specification, a computing device is provided, including:

[0039] A memory and a processor;

[0040] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned intelligent grouping of screen analysis controls and intelligent content display method are implemented.

[0041] According to the fourth aspect of the embodiments of the present specification, a computer-readable storage medium is provided, which stores computer-executable instructions. When the instructions are executed by the processor, the steps of the above-mentioned intelligent grouping of screen analysis controls and intelligent content display method are implemented.

[0042] According to the fifth aspect of the embodiments of the present specification, a computer program is provided. When the computer program is executed on a computer, the computer is made to execute the steps of the above-mentioned intelligent grouping of screen analysis controls and intelligent content display method.

[0043] The present application provides a method for intelligent grouping of screen analysis controls and intelligent content display, which is applied to the field of data processing technology. Obtain the matching relationship between the process and information events for a specific role, automatically obtain the process and information event information according to the screen display form and controls and automatically display it; the system background automatically updates and adjusts the display order between and within the controls in the screen canvas in combination with the specific user click preference and the priority model of the process and information events; automatically and dynamically converge problem points, problem events and problem objects, automatically conduct problem trend analysis, and automatically form an intelligent judgment of the impact surface in combination with the business relevance association model, and automatically perform graphical difference enhancement display. Through the intelligent grouping of controls and intelligent content display, the efficiency and quality of users using the screen to handle the same platform business, manage the business, analyze the business, and query information are greatly improved, and the efficiency and scientificity of the application of system business data are improved. Brief Description of the Drawings

[0044] Figure 1 It is a flowchart of a method for intelligent grouping of screen analysis controls and intelligent content display provided by an embodiment of the present specification;

[0045] Figure 2aIt is the first interface schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0046] Figure 2b It is the first interface schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0047] Figure 2c It is the third interface schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0048] Figure 3 It is the control schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0049] Figure 4 It is the control grouping schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0050] Figure 5 It is the tree structure schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0051] Figure 6a It is the dial schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0052] Figure 6b It is the control node combination schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0053] Figure 7a It is the first point - surface logic judgment schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0054] Figure 7b It is the second point - surface logic judgment schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0055] Figure 7c It is the third point - surface logic judgment schematic diagram of a method for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0056] Figure 8 It is the structure schematic diagram of a device for intelligent grouping of screen analysis controls and intelligent display of content provided by an embodiment of this specification;

[0057] Figure 9It is a structural block diagram of a computing device provided by an embodiment of this specification. Detailed implementation manners

[0058] In the following description, many specific details are set forth in order to provide a thorough understanding of this specification. However, this specification can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the connotation of this specification. Therefore, this specification is not limited by the specific implementations disclosed below.

[0059] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more of the associated listed items.

[0060] It should be understood that although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining".

[0061] In this specification, a method for intelligent grouping of screen analysis controls and intelligent display of content is provided. This specification is also related to a device for intelligent grouping of screen analysis controls and intelligent display of content, a computing device, and a computer-readable storage medium, which will be described in detail one by one in the following embodiments.

[0062] See Figure 1 , this application provides a method for intelligent grouping of screen analysis controls and intelligent display of content, including the following steps:

[0063] Step 101: Obtain the display interface information of the current user, and determine the process information event based on the display interface information.

[0064] Among them, the display interface information may include the types of controls selected by the user, the screen canvas, the display ratio style, and the control display style. The process information event may include the processes, tasks, and events corresponding to the controls.

[0065] In practical applications, the fixed style selection or fixed ratio splitting of the main and auxiliary controls on the canvas. Both the main and auxiliary controls have stacking options and display style options. The main control supports secondary adaptation of picture-in-picture and custom configuration (the logic of secondary adaptation of picture-in-picture is the same as the method of selecting main and auxiliary controls). In addition, the canvas size supports adaptive stretching adaptation for any sizes such as 4:3 and 16:9, using the method of ensuring equal division but not restricting the specific size of each piece & filling the screen. The controls include but are not limited to bar charts, pie charts, scatter plots, line charts, multi-petal dashboards, etc. Among them, the multi-petal dashboard supports the equal division setting of the number of petals, and the equal division is performed according to the algorithm of 360 / X, where X represents the input number of control points to be set; the stacking method of the main and auxiliary controls can automatically collect key indexes and display them in groups in the form of TAB or the first screen + link icons according to the kinship of the indexes.

[0066] Specifically, when automatically generating the screen canvas, the display structure can be selected according to the recommended canvas style of the system, such as Figure 2a , Figure 2b and Figure 2c , and one of the three forms of up and down, parallel stacking, or center and periphery can be selected, and the control styles and the form of multi-control grouping display are synchronously selected. The stacking or nesting form can be selected. If not selected, such as Figure 3 , the default is the stacking form. Among them, combined with the responsibilities and authorities of the user and the organization, different themes and types of positions, responsibilities, inquiries, and knowledge are automatically obtained, and are paired with the controls, and labeled and grouped. Example of grouping: If the user is the person in charge of delivery in the procurement department, then the main control screen of his business will be equipped with a special auxiliary screen for delivery, and at the same time, these two types of screens will be automatically grouped and displayed according to the family relationship. After automatically matching and completing the labeling of the family system and responsibilities of the controls, it will automatically generate a screen display form based on specific roles in combination with the responsibility inquiry (RACI) control arrangement model (according to the method of matching block labels with label control IDs), and the matching logic is as Figure 4 shown; in addition, after automatically generating the matching relationship, the user can adjust it according to his own usage preferences, and this adjustment preference will be remembered. When the user configures automatically later, the adjusted plan of the user will be displayed by default.

[0067] Furthermore, after completing the control matching and automatically generating the canvas according to the recommended control options, it enters the screen usage stage. In this stage, it is automatically associated and displayed with the controls through the labels of processes / themes and the user and organization relationships. It has prominent features such as the display of business situation - tree structure, theme-based key control dashboards, and the end-to-end penetration of each process based on logical association during task execution, the free switching between the business situation - tree structure and the key control dashboard, and the automatic update of the display sorting of the same family system.

[0068] This solution automatically displays the automatic group diagram in terms of automatically obtaining process and information event information, records the user's memory formed after the user's first manual adjustment, and automatically rolls back to the initial state after the user's manual adjustment when restoring the initial settings next time, so as to support the maximized personalized initial configuration under the model recommendation and adapt to the needs differences of thousands of people with thousands of faces; it is implemented by the system background memorizing the initialization usage preferences of each user and using the method of tagging and memorizing the initialization configuration.

[0069] Step 102: Generate a screen display interface through the responsibility inquiry control arrangement model based on the role matching relationship corresponding to the information event and the process information event; wherein, the screen display interface includes at least two controls.

[0070] In a possible implementation manner, generating a screen display interface through the responsibility inquiry control arrangement model based on the role matching relationship corresponding to the information event and the process information event includes: determining the role based on the role matching relationship corresponding to the information event and the process information event; automatically adapting the positions of the controls according to the responsibility inquiry business model corresponding to the role, and determining the duty module, responsibility module, inquiry module and knowledge module; wherein, the duty module is the affairs that the role needs to handle, the responsibility module is the result that the role needs to bear, the inquiry module is the content that the role needs to output or analyze, and the knowledge module is the information that the role needs to know; generating a screen display interface based on the duty module, responsibility module, inquiry module and knowledge module.

[0071] In practical applications, automatically adapt the positions of the controls according to the responsibility inquiry (RACI) business model corresponding to the role, where duty is the affairs that the role needs to handle, responsibility is the result that the role needs to bear, inquiry is the content that the role needs to output or analyze, and knowledge is the information that the role has the right to know. Generally, combine the controls corresponding to duty and responsibility and place them in the position area that is most convenient for the large-screen user to view according to the principles of ergonomics. Here, the controls with the responsibility inquiry labels also correspond to the responsibility inquiry marked areas on the canvas respectively, and the marking method is set in the way that the responsibility areas are most easily discovered according to the principles of ergonomics; adopt the method of marking the responsibility inquiry of specific roles for the process and information events, associating the controls, then conducting the responsibility inquiry for the controls associated with the role, and automatically arranging the positions of the relevant areas on the canvas according to the importance order of the responsibility inquiry and locking them.

[0072] In a possible implementation manner, generating a screen display interface based on the duty module, responsibility module, inquiry module and knowledge module includes: generating tree nodes based on the duty module, responsibility module, inquiry module and knowledge module; generating a tree structure module based on the tree nodes; generating a screen display interface based on the duty module, responsibility module, inquiry module, knowledge module and the tree structure module.

[0073] In practical applications, in terms of intelligent problem focusing and judgment, it also includes supporting the current user to display the current dynamics of execution, management, and analysis in a panoramic digital "tree" form according to the scope of responsibility inquiry. Each accessed process theme or task event is cited, data is aggregated and processed, and red, yellow, and green displays are made according to control rules, and it supports free connection of data to each control unit; it supports the user to conduct a macro digital review of the management and execution dynamic performance within their responsibilities, and at the same time, it also connects specific execution and management control units to support seamless conversion from macro to micro; note: this tree has three branches. The first branch is execution, the second branch is control, and the third branch is analysis; execution means that the current user is the executor, which can be displayed by process or theme classification. The tip of the branch shows the red, yellow, and green lights of the overall situation, and quantitatively displays the number of exceptions and supports penetration jump to the to-do area (duty area control); control means that the current user is the management responsible person, which can be displayed by process or theme classification. The tip of the branch shows the overall execution situation of the process or theme in charge and is supplemented by red, yellow, and green lights. An abnormal situation means that the process may be postponed for completion (the specific algorithm is executed according to the process warning method). The nodes on the branch represent the key control points under the process or theme. The overall display form is the same as the petals of the control dashboard and also supports jumping to the control dashboard control; analysis means that the current user is the inquiry function. This part is not displayed by red, yellow, and green lights, but only green lights. According to different task or theme objects, the number of clicks is displayed and shown according to the number of clicks. Exceeding XX quantity represents high-frequency use and shows a green light, and the rest only shows the quantity; this part also supports penetration to the analysis theme (usually the main and auxiliary large screens).

[0074] In a possible implementation manner, a screen display interface is generated based on the duty module, responsibility module, inquiry module, knowledge module, and tree structure module, including: obtaining the target node of the task corresponding to the role, and determining relevant nodes based on the target node; hierarchically displaying the target node and relevant nodes in the duty module, responsibility module, inquiry module, knowledge module, and tree structure module according to the hierarchical rules, obtaining the node data of the target node and relevant nodes, and changing the display status of the target node and relevant nodes based on the node data and data processing rules.

[0075] In practical applications, the execution status of any adjacent or non-adjacent control nodes corresponding to the current role's task is automatically displayed, the pending tasks are automatically hierarchically displayed, and the penetration and traceability of the upper and lower processes or themes of the execution link are carried out; the method adopted here is to perform label processing on the process and theme respectively, so that the process, process connection, etc. can be quickly connected, and the control points within the process or theme are marked with the smallest particles, and the responsible roles of the process and theme are defined, so as to support the automatic display of the execution status of any adjacent or non-adjacent control nodes under the same process responsibility subject.

[0076] Specifically, the business situation is displayed in a tree structure, as shown in Figure 5 As shown, the job area (execution type), inquiry area (analysis type), and responsibility area (control type) of this user are displayed in a tree-like bifurcation structure.

[0077] The job area (execution type) distinguishes task theme types and displays them in a spherical manner. The theme name is displayed inside / next to each sphere. Inside the sphere, the number of urgent tasks that this user needs to handle immediately and the total number of tasks to be processed under the current task theme are displayed. It supports penetrating to the processing control in the job area for business handling. For the number of urgent tasks / total number of tasks within the same sphere, numerical partitioning is performed. When the ratio value exceeds a certain control threshold, the entire sphere turns red for red alarm, prompting the user to pay special attention and handle it with priority. At the same time, the interval value of the ratio value is set, and yellow and colorless are defined respectively. Yellow represents reminding the user to pay a certain degree of attention.

[0078] The inquiry area (analysis type) distinguishes theme types and displays them in a spherical manner. The theme name is displayed inside / next to each sphere. Inside the sphere, the number of items that the user has not clicked and the total number under the current theme are displayed. At the same time, ratio value partitioning is set for the number of unclicked items / total number, and red, yellow, and colorless color marks are set respectively. Red represents that the number of unclicked items / total number exceeds a certain threshold limit, reminding the user to pay high attention and carry out analysis and processing in a timely manner.

[0079] The responsible area (control type) differentiates the process / theme types for spherical display and shows the process / theme names inside / next to each sphere. At the same time, the set key control nodes are nested under each process / theme type and the control node names are shown inside / next to each node. The control nodes are automatically recommended by initialization (the setting method is to automatically collect several consecutive operations of the same user in the process and then transfer to the next user for operation, which is used as a control node), support users to manually delete, and customize the start and end nodes (automatically remember the deletion plan and start and end nodes, and generate them automatically next time). For some intermediate nodes that are deleted, the front and back nodes are automatically merged forward to form a new control node (no need for manual reprocessing). The number of overdue warnings generated by the currently executing process / theme and the total number of currently executing processes are shown inside the sphere in the responsible area. For the number of warning processes & themes and the total number of ongoing processes & themes in the same sphere, the numerical values are partitioned. When the ratio value exceeds a certain control threshold, the sphere as a whole turns red for red warning, reminding the user to pay special attention and prioritize the processing. At the same time, the interval values of the ratio are set, defining yellow and colorless respectively. Yellow represents reminding the user to pay a certain degree of attention. The warning algorithm is: the theoretical remaining days of the process & theme / the actual remaining days ≥ 1.5, then it is defaulted that the business document corresponding to this process & theme is in the non-warning state, and a warning label is marked. The theoretical remaining days = the standard time of the current to-be-executed control node / 2 + Σ the standard time of the unprocessed nodes. The actual remaining days = Σ the standard time of each control node configured in the system department status under this process or theme - (the current date - the start date of this document); 1.5 is the initial empirical control parameter. This data is obtained from the on-time completion ratio of the process & theme under the automatic warning intervention in the background. If the on-time completion ratio fails to reach the target value for two consecutive periods, the threshold is automatically lowered by 10 basis points to 1.4. If it is monitored that it meets the standard for more than 5 consecutive periods, it is automatically increased by 10 basis points. After one adjustment, the number of consecutive periods doubles during the second monitoring, and so on. The data measurement range is global data (not limited to a single user) to ensure the effectiveness of the empirical control parameter operation. For the key control nodes under the process & theme in the responsible area (control type), the node names are shown. In the data inside, the data in the front shows the currently overdue data, and the data after the slash shows the reminder of how many documents the current business handler has a low historical processing timely rate or a late historical processing tendency (the habit is not to process until it is almost overdue), or a high rejection ratio or a high historical failure ratio (this reminder is achieved through multi-factor profiling of the execution node, and the factors have been described above). Similarly, for the ratio of the number of overdue key control nodes to the total number of ongoing nodes, when the ratio value exceeds a certain control threshold, the node as a whole turns red for red warning, reminding the user to pay special attention and prioritize the processing. At the same time, the interval values of the ratio are set, defining yellow and colorless respectively. Yellow represents reminding the user to pay a certain degree of attention.The spheres in the rule area and the control nodes (squares) can be penetrated. After the sphere is penetrated, the execution status of each document under the corresponding process and theme of the sphere will be displayed. The documents showing the expiration warning will be highlighted in red. It also supports the chain penetration of each process one by one through the automatically provided prompt words (realized through the logical association relationship of process connection and the ID concatenation relationship); the node box supports penetration. After penetration, all the executing nodes and overdue execution nodes will be marked in red, and the nodes that are highlighted will be marked in yellow and the portrait content will be displayed to prompt the current user to pay attention to the correct point.

[0080] The base of the tree structure uses structured questions to comprehensively describe the execution and management status of the user in the current state. For example, in the example provided in the figure, the user's description is "responsible for managing and controlling 6 categories of processes / topics, 85 of which are in progress and 19 are about to expire. Process D requires close attention; there are 49 abnormal nodes, of which processes C and D each have 1 severe abnormal node; there are 32 tasks to be executed and 7 expedited tasks. Please pay attention to Task C; there are 38 analytical topics in 3 categories, 15 of which are pending. Topic A requires attention."

[0081] In another possible implementation, a screen display interface is generated based on the job module, responsibility module, inquiry module and knowledge module, including: determining node data based on the job module, responsibility module, inquiry module and knowledge module; determining node warning information and node control information based on the node data; and generating an instrument display module based on the node warning information and node control information.

[0082] Specifically, you can also set up a thematic key management dashboard, such as Figure 6a As shown, the theme-based control dashboard is divided into three circles. The inner circle displays the process and theme name (that is, the dashboard name), as well as the number of warnings / the total number of executions (the total number that falls within the scope of the current user's responsibility). The inner circle will also be displayed in red, yellow, and green colors. The warning algorithm has been described in the tree structure above. The middle circle displays the name of each key control node, and the outer circle displays the number of overdue nodes / the total number of nodes for each key control node. Another data is the number of tasks that the portrait prompts focus on. The graphical display form of each control node is also called a petal. The data display and coloring logic are the same as the attribute structure described above for the responsibility area control node. At the same time, the inner circle and each node can be penetrated. The display form and logic of the penetration have been described in the tree structure above for the responsibility area. Figure 6aIn the example described, this user's key control dashboard is for the component approval process. Of the 75 processes currently in progress, 20 are in near-expiry warning status. Key control nodes such as application, approval, scheduling, material delivery, and trial runs all have relatively high rates of overdue nodes, warranting attention. Furthermore, the data volume for the approval, scheduling, and trial runs control nodes, as indicated by multi-factor profiling, is relatively high and warrants attention. The dashboard allows users to drill down to view process execution status and also drill down to specific nodes to view node execution status.

[0083] It is necessary to add that, if Figure 6b As shown, the control dashboard supports automatic acquisition and recommended solutions within a single process ( Figure 6b Plan A), also supports the deletion and merging of some nodes in Plan A ( Figure 6b Plan B), also supports the merging and management of adjacent processes ( Figure 6b Plan C), and the merging of multiple cross-border processes ( Figure 6b Plan D); At the same time, the background automatically performs data statistics, removes nodes that have been in the green state for a long time, and automatically monitors data for nodes with merged activities. If abnormalities are found multiple times in a row (greater than the critical threshold), the background automatically conducts root cause analysis (using the 28 classification method to find the main cause and the corresponding activity node), and the background automatically disassembles and displays the main cause activity node (the root cause activity point is displayed in a floating window in the first step. If there is no improvement for two consecutive times in a monthly cycle, it can automatically recommend splitting the dashboard node (automatically focusing and visualizing the display point twice - that is, automatic data monitoring finds the problem - data mining locks the root cause of the problem - background data monitoring further focuses and visualizes the problem)) and themes with long-term business volume less than a specific threshold and the corresponding dashboards are placed at the back (arranged to the back for display).

[0084] It is also necessary to explain the control threshold for the display color of the dashboard control node. By summarizing and counting the colors of all dashboards (performing multi-cycle large-scale data analysis) and monitoring them on a periodic basis, if the red petal disk exceeds 20% for multiple consecutive times, the threshold is raised (quantitative easing of 5 points); if it is always below 20%, the threshold is lowered (lowering the threshold and increasing the number of alarms).

[0085] It should be noted that the responsibility area in the business situation-tree structure can be freely switched with the key control dashboard, the position area in the business situation-tree structure can be freely switched with the to-do controls in the position area; the inquiry area in the business situation-tree structure can be freely switched with the analysis-type main and auxiliary control screens of the inquiry area and the special inquiry area analysis controls.

[0086] Step 103: Obtain user click preferences, and update the display order of at least two controls based on the user click preferences, the process information event, and the priority model.

[0087] In one possible implementation, the user click preference is obtained, and the display order of at least two controls is updated based on the user click preference, process information events, and priority models, including: obtaining the user click frequency and the priority label and number of questions of the process information event; based on the user click frequency, priority label, and number of questions, updating the display order of at least two controls by highlighting the control threshold.

[0088] In actual applications, a set of display priority recommendation algorithms is combined with the current user's click frequency and whether the priority label or number of the process topic or task triggers the highlight control threshold, and automatically performs dynamic priority sorting between and within controls corresponding to the job area and responsibility area under the role corresponding to the current user; at the same time, the system automatically captures information events or topics in the inquiry area and knowledge area of the role corresponding to the current user, and if the control corresponding to the event is in a long-term (touching cycle threshold) unread state, it will be automatically folded (minimized and hidden); the specific method is that the same topic or the same job area or responsibility area or inquiry area with different topics, the problem ratio is greater than a certain threshold and the number of clicks in the past month is greater than XX times will be displayed first.

[0089] Specifically, for the situation where there are multiple topics under the same control type, a set of display priority recommendation algorithms is combined with the current user's click frequency and whether the priority label or number of the process topic or task triggers the highlight control threshold (specifically, multi-cycle sorting, and combined with the user's click frequency, simple quadrant partitioning is performed, with the problems with a high proportion of problems that are repeatedly ranked at the top and the user click frequency being high at the front, followed by the problems with a high proportion of problems that are repeatedly ranked at the top but the user click frequency is relatively low, thirdly, the user clicks frequently but the proportion of the number of problems is relatively low, and finally, the proportion of the number of problems is low and the user click frequency is low). Dynamic priority sorting is automatically performed between and within controls corresponding to the job area and responsibility area under the role corresponding to the current user; at the same time, the system automatically captures information events or topics in the inquiry area and knowledge area corresponding to the current user's role. If the control corresponding to the event is in an unread state for a long time (touching the cycle threshold), it will be automatically folded (minimized and hidden).

[0090] Step 104: Obtain the current task, perform problem trend analysis based on the current task, determine the trend analysis results, perform intelligent impact judgment based on the trend analysis results and the business relevance correlation model, determine the impact surface results, and perform graphical difference enhancement display based on the impact surface results.

[0091] In a possible implementation, based on the current task, problem trend analysis is performed to determine the trend analysis result. Then, based on the trend analysis result and the business relevance association relationship model, intelligent judgment of the impact scope is carried out to determine the impact scope result, including: obtaining the historical pass rate, historical processing efficiency, and historical processing time points of the current task for multi-factor dynamic profiling to determine the task profile; determining the trend analysis result based on the task profile and the exponential smoothing prediction algorithm; and performing intelligent judgment of the impact scope based on the trend analysis result, the problem correlation principle, and the point-to-surface judgment reasoning data model to determine the impact scope result.

[0092] Among them, the exponential smoothing prediction algorithm includes: the trend analysis result = A × The processing result of the first time period + B × The processing result of the second time period + C × The processing result of the third time period; where A is the first weight, B is the second weight, C is the third weight, A + B + C = 1, and A > B > C.

[0093] In practical applications, multi-factor dynamic profiling is performed on the current task's dynamic profile and the current execution node of the corresponding process in the responsible area. The factors include the historical processing efficiency of the current processor, the historical first-pass rate of the current node, and the historical processing time point tendency of the current processor (whether it tends to complete the task processing in the first half or the second half of the node cycle). The historical on-time pass efficiency and first-pass rate of the current processor and the historical first-pass rate of the current node are tracked and displayed using big data analysis, forming a combined system. If the combined coefficient exceeds the warning threshold, the current user (also the responsible person) will be automatically reminded to pay attention; for the dashboard of the monitored process and theme, it is graphically displayed in the form of petals to focus on the key control nodes, and the overall control status of different key control nodes is displayed according to the calculation formula and marked with red, blue, and green colors. Red represents that the risk threshold has been triggered and should be focused on, blue represents that attention should be paid, and green represents health. At the same time, the system background automatically monitors the green control nodes. If they remain green for more than the monitoring period, the control point will be dynamically removed (canceling monitoring, commonly known as unfollowing); in-depth analysis and trend judgment are also carried out on the problems presented by management events or themes.

[0094] The trend judgment uses the exponential smoothing prediction algorithm based on data. The method used in the embodiments of this specification includes: multiplying the historical processing result of the previous 1 week by the weight A + multiplying the historical average processing result of the previous 3 weeks by the weight B + multiplying the historical average processing result of the previous 6 weeks by the weight C, where A + B + C = 100%. If the total actual business volume within the period is less than a certain specific value, the system background will automatically change the week to month, and combined with the problem correlation principle and the point-to-surface judgment reasoning data model, automatic point-to-surface judgment of the problem will be carried out. Here, the point represents that the problem is an isolated point, and the surface represents that the problem shows a trend of development and growth, rather than a problem reflected by a single business event.

[0095] Specifically, for the usual method of point-and-face judgment, mathematical statistics analysis and prediction algorithm combinations are used. Key observations are made, and point-and-face judgment analysis is triggered by repeatedly occurring problems (triggering the analysis threshold point). The point-and-face judgment analysis focuses on monitoring and judging whether it is a problem of a certain point or a problem of the process corresponding to this point, and also focuses on monitoring and judging whether it is a problem of the process or point of one person or whether all people managing and executing this process will have problems. Among them, statistical analysis is carried out on the data of several historical periods respectively by setting the method of comparing feature thresholds, classifying according to data intervals, and predicting and analyzing future data based on historical values. According to the comparison results, it is determined whether it is a point problem or a face problem. Among them, the face problem often refers to the problem that a group of people all have actual or predicted results exceeding the feature threshold.

[0096] For repeatedly occurring problems, the system background automatically monitors and decouples through big data analysis, and timely gives the basis for problem qualitative judgment.

[0097] As Figure 7a shown, the specific approach is as follows: Step 1: Statistically count and backward predict the abnormal proportion of the control nodes of a certain process of Zhang San for 1 period according to the statistical period; if it is detected that a certain node of a certain process of a certain person has an abnormality in 80% of the statistical periods and the predicted value is also abnormal, initially judge the point as abnormal.

[0098] As Figure 7b shown, Step 2: For the abnormal node A, magnify it to the execution abnormal distribution of each person within the organization.

[0099] Retrieve the characteristic value. Whether it is greater than 80% of the personnel with abnormal proportion exceeding the warning line and the predicted value exceeding the warning line. If so, judge that the node A under this process is face abnormal.

[0100] As Figure 7c shown, Step 3: For the statistics of Zhang San's this process, if there are more than 1 node with an initially judged point abnormality, further magnify the statistics of the overall abnormal proportion distribution of these 2 nodes. If more than 2 nodes all show abnormalities (the abnormal judgment is based on the characteristics of 80% abnormality in the statistical point and abnormal predicted value), then judge that the overall process is face abnormal. The prediction calculation formula: Predicted final value = previous 1 period * A% + (previous 1 period + previous 2nd period + previous 3rd period) / 3 * B% + (previous 1 period + previous 2nd period + previous 3rd period + previous 4th period + previous 5th period + previous 6th period) / 6 * C%. Where A + B + C = 100, and A > B > C.

[0101] In regular applications, we also appropriately extract historical data for abnormal data and make intelligent recommendations. For example, if a user, after entering the abnormal profile recommendation through the key management dashboard, stops at a specific processor (for example, with a profile that shows a tendency to process business in the second half, a low proportion of on-time processing, and a high rejection rate), we will further retrieve the user's statistical data to display their actual data for that part over the past three months (such as the number of transactions processed and the percentage), providing users with a more intuitive and objective data presentation. This guides users to consider whether to follow up online or take further business actions, thereby improving the success rate of business.

[0102] Furthermore, the main control will be intelligently recommended within and between controls and will automatically be grouped according to the main theme and the dimension themes under the main theme to form a set of relationships, and displayed in a stacked relationship. The stacking form can be TAB or a random form that is further linked on the main theme screen (the form can be switched freely); the main theme and its dimension themes are automatically associated according to the theme family relationship, and data and permissions are automatically filtered according to the current user's corresponding role and the organization he is in.

[0103] Furthermore, intelligent recommendations within and between controls support users to seamlessly penetrate from the main theme screen to the dimension screen, to the management and control dashboard, to the process execution progress, to the problem point, to the problem person, etc. The system automatically pops up the penetration recommendation to provide intelligent guidance, supporting dynamic control of the fundamentals, accurate management of things and people; the specific approach is to establish small pop-up windows to jump to each other through the process number, name, name of the process person in charge, etc. For example, in the management and control dashboard interface, a pop-up window can be displayed at the problem control point. You can further check the overall execution progress of the process, click to cross to the process progress execution table, and further query the historical execution efficiency of the current executor in the process progress execution table. It supports further urging or interaction, and the control point pop-up window can also prompt whether to return to the management and control dashboard, etc., to achieve mutual conversion between controls.

[0104] Furthermore, for the dynamic dashboard, in addition to the dynamic optimization of management and control points, there is also background monitoring of the red, yellow, and green color thresholds, and dynamic self-correction of the traffic light thresholds through the 28 principles based on actual occurrences, always ensuring the management effectiveness of color indications; the specific approach is to dynamically count the actual values (number of abnormal points being executed / number of points being executed) and the corresponding red light thresholds in each statistical period of the key control point in the past three months, and count and use 80% of the value interval on the same side of the data as the new threshold (which is a data point), and replace the original red light threshold with the new threshold. This method can also be simply called finding 80%.

[0105] Further, in terms of intelligent problem focusing and judgment, it supports the current user to start from any process event, continuously trace and query the previous and subsequent processes or topics, and trace the end-to-end processes in a continuous paging form. It can also overview the execution efficiency of each process, whether the reading process has exceeded the due date, and the key overdue bottlenecks (according to the overdue ratio). At the same time, it also supports reading out the process breakpoints, automatically marking the problems, and automatically circulating them to the person in charge corresponding to the corresponding process or topic.

[0106] Further, in terms of intelligent problem focusing and judgment, the cited business data point-and-surface feature judgment model is combined with the data prediction model to judge whether the problem is an isolated point or the size of the surface, and remind the current user to conduct hierarchical control in terms of management attention.

[0107] Further, in terms of intelligent problem focusing and judgment, at the execution node of the process or topic, it anticipates bottlenecks in advance. mainly for the relatively low historical non-pass rate of the current node or the relatively weak historical processing performance of the current processor for the current node, it will automatically form a pop-up prompt, such as "The current node has not been processed for more than ** days. It is recommended to find the resolver XXX to conduct an offline inquiry on the cause responsible person; and a friendly reminder, at point *** the current processor XXX has been postponed * times in the past 3 months / the postponement ratio is **%, please pay more attention", etc.

[0108] It should be noted that for the foregoing method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the embodiments of this specification are not limited by the described action sequences, because according to the embodiments of this specification, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0109] Corresponding to the above method embodiments, this specification also provides embodiments of a screen analysis control intelligent grouping and content intelligent display device. Figure 8 It shows a structural schematic diagram of a screen analysis control intelligent grouping and content intelligent display device provided by an embodiment of this specification. As Figure 8 shown, the device includes:

[0110] An information acquisition module 801, configured to acquire the display interface information of the current user, and determine the process information event based on the display interface information;

[0111] A display generation module 802, configured to generate a screen display interface through a responsibility inquiry control arrangement model based on the role matching relationship corresponding to the information event and the process information event; wherein, the screen display interface includes at least two controls;

[0112] The control sorting module 803 is configured to obtain user click preferences and update the display order of at least two controls based on the user click preferences, process information events, and priority models;

[0113] The intelligent analysis module 804 is configured to obtain the current task, perform problem trend analysis based on the current task, determine the trend analysis result, and perform intelligent judgment on the impact surface based on the trend analysis result and the business relevance relationship model to determine the impact surface result, and perform graphical difference enhancement display based on the impact surface result.

[0114] In a possible implementation manner, based on the role matching relationship corresponding to the information event and the process information event, a screen display interface is generated through the responsibility inquiry control arrangement model, including:

[0115] Determine the role based on the role matching relationship corresponding to the information event and the process information event;

[0116] Automatically adapt the positions of the controls according to the business model inquired by the responsibilities corresponding to the role, and determine the duty module, responsibility module, inquiry module, and knowledge module; where the duty module is the affairs that the role needs to handle, the responsibility module is the results that the role needs to bear, the inquiry module is the content to be output or analyzed by the role, and the knowledge module is the information that the role needs to know;

[0117] Generate a screen display interface based on the duty module, responsibility module, inquiry module, and knowledge module.

[0118] In a possible implementation manner, generating a screen display interface based on the duty module, responsibility module, inquiry module, and knowledge module includes:

[0119] Generate tree nodes based on the duty module, responsibility module, inquiry module, and knowledge module;

[0120] Generate a tree structure module based on the tree nodes;

[0121] Generate a screen display interface based on the duty module, responsibility module, inquiry module, knowledge module, and tree structure module.

[0122] In a possible implementation manner, generating a screen display interface based on the duty module, responsibility module, inquiry module, knowledge module, and tree structure module includes:

[0123] Obtain the target node of the task corresponding to the role, and determine the relevant nodes based on the target node;

[0124] Hierarchically display the target node and the relevant nodes in the duty module, responsibility module, inquiry module, knowledge module, and tree structure module according to the hierarchical rules.

[0125] In a possible implementation, obtain the user's click preference, and update the display order of at least two controls based on the user's click preference, process information event, and priority model, including:

[0126] Obtain the user's click frequency, the priority label of the process information event, and the number of questions;

[0127] Based on the user's click frequency, priority label, and number of questions, update the display order of at least two controls through the highlighting control threshold.

[0128] In a possible implementation, perform problem trend analysis based on the current task, determine the trend analysis result, and perform intelligent impact surface judgment based on the trend analysis result and the business relevance association model to determine the impact surface result, including:

[0129] Obtain the historical passing rate, historical processing efficiency, and historical processing time points of the current task to perform a multi-factor dynamic portrait and determine the task portrait;

[0130] Determine the trend analysis result based on the task portrait and the exponential smoothing prediction algorithm;

[0131] Perform intelligent impact surface judgment based on the trend analysis result, the problem correlation principle, and the point-to-surface judgment inference data model to determine the impact surface result.

[0132] In a possible implementation, the exponential smoothing prediction algorithm includes:

[0133] Trend analysis result = A × Processing result in the first time period + B × Processing result in the second time period + C × Processing result in the third time period;

[0134] Where A is the first weight, B is the second weight, C is the third weight, A + B + C = 1, and A > B > C.

[0135] The above is a schematic solution of a screen analysis control intelligent grouping and content intelligent display device in this embodiment. It should be noted that the technical solution of this screen analysis control intelligent grouping and content intelligent display device belongs to the same concept as the above screen analysis control intelligent grouping and content intelligent display method. For the details not described in the technical solution of the screen analysis control intelligent grouping and content intelligent display device, reference can be made to the description of the technical solution of the above screen analysis control intelligent grouping and content intelligent display method.

[0136] Figure 9FIG. 0 shows a structural block diagram of a computing device 900 provided according to an embodiment of the present specification. The components of the computing device 900 include, but are not limited to, a memory 910 and a processor 920. The processor 920 is connected to the memory 910 via a bus 930, and a database 950 is used to store data.

[0137] The computing device 900 further includes an access device 940, which enables the computing device 900 to communicate via one or more networks 960. Examples of such networks include the Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or a combination of communication networks such as the Internet. The access device 940 may include one or more of any type of wired or wireless network interfaces (e.g., a network interface card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, Worldwide Interoperability for Microwave Access (Wi-MAX) interface, Ethernet interface, Universal Serial Bus (USB) interface, cellular network interface, Bluetooth interface, Near Field Communication (NFC).

[0138] In an embodiment of the present specification, the above components of the computing device 900 and Figure 9 other components not shown therein may also be connected to each other, for example, via a bus. It should be understood that Figure 9 the shown structural block diagram of the computing device is for illustrative purposes only and is not a limitation on the scope of the present specification. Those skilled in the art can add or replace other components as needed.

[0139] The computing device 900 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or personal computers (PCs). The computing device 900 can also be a mobile or stationary server.

[0140] Among them, the processor 920 is used to execute the following computer-executable instructions, and when the computer-executable instructions are executed by the processor, the steps of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method are implemented. The above is a schematic solution of a computing device in this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method belong to the same concept. For the details not described in detail in the technical solution of the computing device, reference can be made to the description of the technical solution of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method.

[0141] An embodiment of this specification also provides a computer-readable storage medium, which stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method are implemented.

[0142] The above is a schematic solution of a computer-readable storage medium in this embodiment. It should be noted that the technical solution of this storage medium and the technical solution of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method belong to the same concept. For the details not described in detail in the technical solution of the storage medium, reference can be made to the description of the technical solution of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method.

[0143] An embodiment of this specification also provides a computer program, wherein when the computer program is executed on a computer, the computer is made to execute the steps of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method.

[0144] The above is a schematic solution of a computer program in this embodiment. It should be noted that the technical solution of this computer program and the technical solution of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method belong to the same concept. For the details not described in detail in the technical solution of the computer program, reference can be made to the description of the technical solution of the above-mentioned intelligent grouping of screen analysis controls and intelligent display of content method.

[0145] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0146] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, removable hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0147] It should be noted that for the foregoing method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the embodiments of this specification are not limited by the described order of actions, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments of this specification.

[0148] In the above embodiments, the descriptions of each embodiment have their own focuses. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0149] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not elaborate on all details and do not limit the invention to only the specific embodiments described. Obviously, many modifications and variations can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can well understand and utilize this specification. This specification is only limited by the claims and their full scope and equivalents.

Claims

1. A method for intelligent grouping of screen analysis controls and intelligent content display, characterized in that: include: Obtaining display interface information of the current user, and determining a process information event based on the display interface information; Based on the role matching relationship between the information event and the process information event, a screen display interface is generated through a responsibility query control arrangement model; wherein the screen display interface includes at least two controls; Acquire a user click preference, and update a display order of the at least two controls based on the user click preference, the process information event, and a priority model; Obtaining a current task, performing a problem trend analysis based on the current task, determining a trend analysis result, performing an intelligent impact assessment based on the trend analysis result and a business relevance correlation model, determining an impact assessment result, and performing a graphical difference enhancement display based on the impact assessment result; The generating of a screen display interface by using a responsibility query control arrangement model based on the role matching relationship corresponding to the information event and the process information event includes: Determining a role based on a role matching relationship between the information event and the process information event; Automatically adapt the position of controls based on the role's corresponding duty inquiry and knowledge business model to determine the duty module, duty module, inquiry module, and knowledge module; wherein the duty module represents the transactions that the role needs to handle, the duty module represents the results that the role needs to bear, the inquiry module represents the content that the role needs to output or analyze, and the knowledge module represents the information that the role needs to know; A screen display interface is generated based on the job module, the responsibility module, the query module and the knowledge module.

2. The method according to claim 1, characterized in that The generating of a screen display interface based on the job module, the responsibility module, the query module and the knowledge module includes: Generate tree nodes based on the job module, the responsibility module, the query module and the knowledge module; Generate a tree structure module based on the tree nodes; Obtaining a target node of the task corresponding to the role, and determining related nodes based on the target node; The target node and the related nodes are displayed hierarchically in the job module, the responsibility module, the inquiry module, the knowledge module and the tree structure module according to a hierarchical rule; Node data of the target node and the related nodes are acquired, and display states of the target node and the related nodes are changed based on the node data and a data processing rule.

3. The method according to claim 1, characterized in that The generating of a screen display interface based on the job module, the responsibility module, the query module and the knowledge module includes: Determine node data based on the job module, the responsibility module, the query module and the knowledge module; Determine node warning information and node control information based on the node data; An instrument display module is generated based on the node warning information and the node control information.

4. The method according to claim 1, wherein The acquiring the user click preference and updating the display order of the at least two controls based on the user click preference, the process information event, and the priority model includes: Obtain the user's click frequency, priority label, and number of issues of the process information event; Based on the user click frequency, the priority label and the number of questions, the display order of the at least two controls is updated by highlighting a control threshold.

5. The method according to claim 1, wherein The problem trend analysis is performed based on the current task to determine the trend analysis result, and the impact surface is intelligently judged based on the trend analysis result and the business relevance correlation model to determine the impact surface result, including: Obtain the historical pass rate, historical processing efficiency, and historical processing time points of the current task to perform a multi-factor dynamic profile and determine the task profile; Determine trend analysis results based on task profiling and exponential smoothing inference algorithms; Based on the trend analysis results, the problem correlation principle and the point-to-surface judgment and reasoning data model, an intelligent judgment of the impact surface is performed to determine the impact surface results.

6. The method according to claim 5, characterized in that The exponential smoothing inference algorithm includes: Trend analysis results = A ×Processing results of the first time period+ B ×Processing results of the second time period+ C ×Processing results of the third time period; Among them, A is the first weight, B is the second weight, C is the third weight, A+B+C=1, and A>B>C.

7. A method and device for intelligent grouping of screen analysis controls and intelligent content display, characterized in that: The steps for implementing the method for intelligent grouping of screen analysis controls and intelligent content display according to any one of claims 1 to 6 include: An information acquisition module is configured to acquire display interface information of a current user and determine a process information event based on the display interface information; A display generation module is configured to generate a screen display interface based on the role matching relationship between the information event and the process information event through a responsibility query control arrangement model; wherein the screen display interface includes at least two controls; a control sorting module configured to obtain a user click preference and update a display order of the at least two controls based on the user click preference, the process information event, and a priority model; The intelligent analysis module is configured to obtain the current task, perform problem trend analysis based on the current task, determine the trend analysis results, and perform intelligent impact judgment based on the trend analysis results and the business relevance association model, determine the impact surface results, and perform graphical difference enhancement display based on the impact surface results.

8. A computing device, characterized in that include: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the screen analysis control intelligent grouping and content intelligent display method described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for intelligent grouping of screen analysis controls and intelligent display of content as described in any one of claims 1 to 6.

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