Intelligent assistant system

Abstract

The invention provides an intelligent assistant system which comprises a subclass assistant module used for displaying all event classes and providing a question classification query function and a subclass backfilling function during event registration; the intelligent recommendation module is used for recommending related event processing rules according to the details of the current event; the repeated event identification module is used for carrying out identification according to a preset repeated event judgment rule, automatically prompting possibly repeated events, allowing to check processing details of the possibly repeated events, and labeling the identified repeated events with repeated event labels; and the associated event identification module is used for automatically prompting possibly associated events according to the associated event judgment rule and allowing to check the processing details of the associated events. According to the invention, the problem of difficult dispatching caused by unclear manual event classification in event management is solved, and the technical problems of unintelligent recommendation, difficult identification of repeated events and associated events and low efficiency of an existing assistant system are solved.

Description

Technical Field

[0001] The present invention mainly relates to the field of intelligent assistance systems, event management and recommendation technology. Background Art

[0002] With the rapid development of society, the management of various types of events has become increasingly complex. Existing event management systems are inefficient in handling event classification, recommendation, and identification of duplicate and related events, and often require manual intervention, which is time-consuming and labor-intensive.

[0003] Existing event management systems usually adopt basic event classification methods and do not provide intelligent recommendations and automatic identification and prompt functions for repeated and related events, resulting in inefficiency in handling events.

[0004] Current event management methods are unable to automatically make intelligent recommendations for events, nor are they able to effectively identify duplicate and related events, increasing operational complexity and time costs. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide an intelligent assistant system, which mainly solves the problem of unclear manual event classification in event management leading to difficulty in dispatching, as well as the technical problems of unintelligent recommendations of existing assistant systems, difficulty in identifying repeated events and related events, and low efficiency.

[0006] The present invention provides an intelligent assistant system, comprising:

[0007] The sub-category assistant module is used to display all event categories, and provides a problem classification query function and a sub-category backfill function when registering an event; when the problem classification query function is triggered, the system queries the relevant database according to the question input by the user, determines the event category and returns; when the sub-category backfill function is triggered, the system;

[0008] Intelligent recommendation module, used to recommend relevant event processing rules based on the current event details;

[0009] A repeated event identification module, which is used to identify repeated events according to preset repeated event judgment rules, automatically prompt possible repeated events, allow viewing of processing details of possible repeated events, and mark the identified repeated events with repeated event labels; and

[0010] The associated event identification module is used to automatically prompt possible associated events based on the associated event judgment rules, and allow viewing of the processing details of the associated events.

[0011] Furthermore, the sub-category assistant module displays all event categories in a classification tree mode, allowing users to locate and determine the event category of an event through a predefined event classification tree structure.

[0012] Furthermore, when displaying the event category, the subcategory assistant module also allows viewing the dispatching department corresponding to the event category.

[0013] Furthermore, the intelligent recommendation module uses a built-in recommendation algorithm to match historical data and current event features, thereby retrieving relevant event processing rules for user reference. The event processing rules include event type, case filing specifications, case closing specifications, and processing time limits.

[0014] Furthermore, the repeated event judgment rules include event content rules, time rules and location rules. The identification is performed by comparing the multi-dimensional information such as the content, time and location of the event. If the multi-dimensional information such as the content, time and location of the event is consistent or basically consistent, it is judged as a possible repeated event.

[0015] Furthermore, the associated event judgment rules include logical relationship rules, time sequence rules and geographical location proximity rules between events.

[0016] Furthermore, the present invention also includes continuously optimizing the classification tree structure, recommendation algorithm, and repeated and related event judgment rules by continuously collecting user feedback and usage data.

[0017] One or more technical solutions provided by the present invention have at least the following technical effects or advantages:

[0018] 1. The over-classification assistant function realizes rapid classification and backfilling, improves the accuracy and efficiency of event classification, and makes event dispatching work smoother and more accurate;

[0019] 2. Through the intelligent recommendation function, users can understand the event processing rules in a timely manner, reducing user query and decision-making time and improving work efficiency;

[0020] 3. Through the automatic identification and prompting functions of repeated events and related events, duplicate work and missing related information are effectively avoided, further improving the overall efficiency of event management.

[0021] The intelligent assistant system of the present invention can be applied to multiple fields such as urban management, emergency response, customer service, etc., to provide convenience for staff such as supervisory command centers and grassroots grid workers in handling incidents and improve work efficiency.

[0022] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.

[0024] Figure 1 Schematic diagram of the structural framework of the intelligent assistant system of the present invention. DETAILED DESCRIPTION

[0025] The embodiments of the present application provide an intelligent assistant system, which mainly solves the problem of unclear manual event classification in event management leading to difficulty in dispatching, as well as the technical problems of unintelligent recommendations of existing assistant systems, difficulty in identifying repeated events and related events, and low efficiency.

[0026] The technical solution in the embodiments of the present application has the following overall idea: the event dispatching department realizes rapid classification and backfilling of events through the subcategory assistant function, thereby improving the accuracy and efficiency of event classification, so that events can be accurately dispatched to the corresponding processing department for processing; the event processing department obtains event processing rules through the intelligent recommendation function, which reduces user query and decision-making time and improves work efficiency; the event dispatching department or processing department can also effectively avoid duplication of work and omission of related information through the automatic identification and prompt function of repeated events and related events, thereby further improving the overall efficiency of event management.

[0027] like Figure 1 As shown, an embodiment of the present application provides an intelligent assistant system, including a subcategory assistant module, an intelligent recommendation module, a repeated event recognition module and an associated event recognition module.

[0028] The subcategory assistant module is used to display all event categories; specifically, all event categories can be displayed in a classification tree mode, and the user can locate and determine the event category of the event through a predefined event classification tree structure.

[0029] When displaying the event category, the subcategory assistant module also allows viewing the dispatching department corresponding to the event category, thereby making it more convenient for event dispatch personnel to dispatch the current event to the corresponding processing department.

[0030] The subcategory assistant module is also used to provide problem classification query function and subcategory backfill function during event registration.

[0031] When the question classification query function is triggered, the system queries the relevant database according to the question input by the user, determines the event category and returns;

[0032] When the sub-category backfilling function is triggered, the newly added sub-category is backfilled to the corresponding parent node or ancestor node. The sub-category backfilling function can be implemented by dragging and dropping in the graphical user interface, and the specific process is as follows:

[0033] (1) Design a tree structure control that can be dragged and dropped;

[0034] (2) The user adds data items to the tree structure of the event category by dragging and dropping the tree structure control;

[0035] (3) Dynamically update the tree structure to ensure that it reflects the user's operations.

[0036] The intelligent recommendation module is used to recommend relevant event processing rules based on the current event details. Specifically, it uses the built-in recommendation algorithm to match historical data with current event characteristics, thereby retrieving relevant event types, case filing standards, case closing standards, and processing time limits to provide users with reference.

[0037] A repeated event identification module is used to identify repeated events according to preset repeated event judgment rules, automatically prompt possible repeated events, allow viewing of processing details of possible repeated events, and mark the identified repeated events with repeated event labels;

[0038] The repeated event judgment rules include event content rules, time rules and location rules. The identification is to compare the multi-dimensional information of the event content, time and location. If the multi-dimensional information of the event content, time and location are consistent or basically consistent, it is judged as a possible repeated event. When the dispatcher encounters a repeated event, there is no need to dispatch again to prevent the event handling department from duplicating the processing and wasting resources.

[0039] The associated event identification module is used to automatically prompt possible associated events based on the associated event judgment rules, and allow viewing of the processing details of the associated events.

[0040] The associated event judgment rules include the logical relationship rules, time sequence rules and geographical location proximity rules between events.

[0041] Logical relationship rules refer to a series of criteria that describe how different events are related to and affect each other, including causal relationships, sequential relationships, conditional relationships, temporal relationships, cyclic relationships, concurrent relationships, etc.

[0042] Time sequence rules refer to how to determine the order and time relationship between events when analyzing and processing events, including the principle of first occurrence, causal order, time interval, time overlap, time dependency, time window, time synchronization, and time priority;

[0043] Geographic proximity rules refer to a series of standards and methods used to measure the distance between two or more geographic locations in a geographic information system (GIS). They can be calculated using the Euclidean distance or Manhattan distance (city block distance) formula.

[0044] Through logical relationship rules, time sequence rules and geographical proximity rules, the correlation between two events can be excavated, such as causal relationship, sequence relationship, conditional relationship, conflict relationship, concurrent relationship, cumulative relationship, etc.: This helps to analyze the causes, impacts and consequences of events, as well as predict and manage the development of events.

[0045] The present invention also includes continuously optimizing the classification tree structure, recommendation algorithm, and repeated and associated event judgment rules by continuously collecting user feedback and usage data.

[0046] In summary, the technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0047] 1. The over-classification assistant function realizes rapid classification and backfilling, improves the accuracy and efficiency of event classification, and makes event dispatching work smoother and more accurate;

[0048] 2. Through the intelligent recommendation function, users can understand the event processing rules in a timely manner, reducing user query and decision-making time and improving work efficiency;

[0049] 3. Through the automatic identification and prompting functions of repeated events and related events, duplicate work and missing related information are effectively avoided, further improving the overall efficiency of event management.

[0050] The intelligent assistant system of the present invention can be applied to multiple fields such as urban management, emergency response, customer service, etc., to provide convenience for staff such as supervisory command centers and grassroots grid workers in handling incidents and improve work efficiency.

[0051] Although the specific implementation modes of the present invention are described above, those skilled in the art should understand that the specific implementation modes described are only illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. An intelligent assistant system, characterized in that: include: The sub-category assistant module is used to display all event categories and provide problem classification query function and sub-category backfill function when registering events; When the question classification query function is triggered, the relevant database is searched according to the question input by the user, and the event category is determined and then returned; When the sub-category backfilling function is triggered, the newly added sub-category is back-filled into the corresponding parent node or ancestor node; Intelligent recommendation module, used to recommend relevant event processing rules based on the current event details; A repeated event identification module, which is used to identify repeated events according to preset repeated event judgment rules, automatically prompt possible repeated events, allow viewing of processing details of possible repeated events, and mark the identified repeated events with repeated event labels; and The associated event identification module is used to automatically prompt possible associated events based on the associated event judgment rules, and allow viewing of the processing details of the associated events.

2. The intelligent assistant system according to claim 1, characterized in that: The sub-category assistant module displays all event categories in a classification tree mode, and allows users to locate and determine the event category of an event through a predefined event classification tree structure.

3. An intelligent assistant system according to claim 1 or 2, characterized in that: When displaying the event category, the subcategory assistant module also allows viewing the dispatching department corresponding to the event category.

4. The intelligent assistant system according to claim 1, characterized in that: The intelligent recommendation module uses a built-in recommendation algorithm to match historical data with current event features, thereby retrieving relevant event processing rules for user reference. The event processing rules include event type, case filing specifications, case closing specifications, and processing time limits.

5. The intelligent assistant system according to claim 1, characterized in that: The repeated event judgment rules include event content rules, time rules and location rules. The identification is performed by comparing the multi-dimensional information of the event content, time and location. If the multi-dimensional information of the event content, time and location are consistent or basically consistent, it is judged as a possible repeated event.

6. The intelligent assistant system according to claim 1, characterized in that: The associated event judgment rules include logical relationship rules, time sequence rules and geographical location proximity rules between events.

7. The intelligent assistant system according to claim 1, characterized in that: It also includes continuous optimization of the classification tree structure, recommendation algorithm, and repeated and related event judgment rules by constantly collecting user feedback and usage data.

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