Search

CN-121980163-A - Event data processing method, apparatus, electronic device and computer program product

CN121980163ACN 121980163 ACN121980163 ACN 121980163ACN-121980163-A

Abstract

The application is applicable to the technical field of artificial intelligence and provides an event data processing method, an event data processing device, electronic equipment and a computer program product. The event data processing method comprises the steps of responding to a data processing instruction of an event, determining a competition group and corresponding competition tasks, carrying out task prompt and abnormal behavior detection based on the real-time state of a competitor, scoring the competitor based on behavior data and competition results of the competitor, and/or generating a competitor capability model, wherein the behavior data comprises information for carrying out task prompt on the competitor and abnormal behavior detection results, and the competitor capability model is used for outputting training suggestions of the competitor. Embodiments of the present application may improve the rationality of scoring and training advice.

Inventors

  • Shu Miyong

Assignees

  • 深圳市优必选科技股份有限公司

Dates

Publication Date
20260505
Application Date
20251219

Claims (10)

  1. 1. A method of event data processing, comprising: determining a competition group and a corresponding competition task in response to a data processing instruction of the competition; Based on the real-time state of the competitor, carrying out task prompt and abnormal behavior detection; And/or generating a competitor capability model, wherein the behavior data comprises information for carrying out task prompt on the competitor and abnormal behavior detection results, and the competitor capability model at least comprises training advice for the competitor.
  2. 2. A method of processing event data as set forth in claim 1, wherein said determining a game group and corresponding game task includes: the method comprises the steps of obtaining competitor information of competitors, wherein the competitor information comprises capability information of the competitors; grouping the competitors based on the capability information of the competitors to obtain a plurality of competition groups; And matching corresponding game tasks for each game group based on the task difficulty of the game tasks and the capability information of the participants in each game group.
  3. 3. An event data processing method as in claim 2, wherein the event data processing method further comprises: generating a race arrangement and race distribution scheme of each race group according to the race personnel information of the race personnel in the race group, the task type of the race task corresponding to the race group and the available race track resources of the race field.
  4. 4. A method of processing event data according to claim 3, wherein said generating a scheduling and track allocation scheme for each of said game groups based on information about competitors within said game groups, task types of game tasks corresponding to said game groups, and available track resources for a game field comprises: determining standard competition duration of single competition and required exclusive racetrack configuration rules according to the task type; calculating the minimum number of games required by all people according to the information of the competitors and the maximum number of people which can be accommodated by a single track; based on the minimum number of times of the race, on the premise of meeting the configuration rule of the exclusive race track, the available race track resources are distributed in the time dimension to form a race course frame comprising a plurality of continuous times of the race; The contest groups are allocated to the runs of the course frame and to the tracks.
  5. 5. An event data processing method as set forth in claim 2, wherein said acquiring competitor information of a competitor includes: Acquiring a history competition result of a competitor; the capability information is determined based on the historical game results.
  6. 6. An event data processing method as claimed in any one of claims 1 to 5, further comprising: scoring the competitors according to the behavior data and the competition result; and displaying the ranking of each competitor based on the score of each competitor.
  7. 7. An event data processing method according to any one of claims 1 to 5, wherein the detecting abnormal behavior based on the real-time status of the competitor comprises: acquiring continuous multi-frame sensor data of the competitor; and determining the continuous behavior of the competitor in real time based on the continuous multi-frame sensor data, and confirming the occurrence of the abnormal behavior when the continuous behavior meets the abnormal condition.
  8. 8. An event data processing device, comprising: The distribution unit is used for responding to the data processing instruction of the event and determining the competition group and the corresponding competition task; the in-race detection unit is used for carrying out task prompt and abnormal behavior detection based on the real-time state of the competitors; And/or generating a competitor capacity model, wherein the behavior data comprises information for carrying out the task prompt on the competitor and abnormal behavior detection results, and the competitor capacity model at least comprises training advice for the competitor.
  9. 9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the event data processing method as claimed in any of claims 1 to 7.
  10. 10. A computer program product comprising a computer program which, when executed, causes an event data processing method as claimed in any one of claims 1 to 7 to be performed.

Description

Event data processing method, apparatus, electronic device and computer program product Technical Field The application belongs to the technical field of artificial intelligence, and particularly relates to an event data processing method, an event data processing device, electronic equipment and a computer program product. Background With the development of artificial intelligence, image recognition, behavior analysis and big data technology, the data processing of off-line events is developing towards intelligence and data driving. However, existing offline event systems still rely mainly on manual operations, and the provision of game scoring and training advice lacks quantitative analysis of real-time conditions, which is not reasonable. Disclosure of Invention The embodiment of the application provides an event data processing method, an event data processing device, electronic equipment and a computer program product, which can improve the rationality of scoring and training advice. The first aspect of the embodiment of the application provides an event data processing method, which comprises the steps of responding to a data processing instruction of an event, determining a game group and a corresponding game task, carrying out task prompt and abnormal behavior detection based on the real-time state of a competitor, scoring the competitor based on behavior data and a game result of the competitor, and/or generating a competitor capability model, wherein the behavior data comprises information for carrying out the task prompt on the competitor and an abnormal behavior detection result, and the competitor capability model at least comprises training advice for the competitor. In some embodiments of the first aspect, the determining the competition group and the corresponding competition tasks includes obtaining competition person information of competition persons, wherein the competition person information includes capability information of the competition persons, grouping the competition persons based on the capability information of the competition persons to obtain a plurality of competition groups, and matching the corresponding competition tasks for the competition groups based on task difficulties of the competition tasks and the capability information of the competition persons in the competition groups. In some embodiments of the first aspect, the method further includes generating a schedule and track allocation scheme for each of the game groups according to the competitor information for the competitors within the game groups, the task types of the game tasks corresponding to the game groups, and the available track resources for the game sites. In some embodiments of the first aspect, the step of generating a step scheduling and track allocation scheme for each match group according to the information of the competitors in the match group, the task types of the match tasks corresponding to the match group and the available track resources of the match sites includes determining standard match duration and required exclusive track allocation rules of a single step according to the task types, calculating the minimum number of steps required for completing the match of all the staff according to the information of the competitors and the maximum number of single steps which can be accommodated by the single step, and arranging the available track resources in the time dimension on the premise of meeting the exclusive track allocation rules based on the minimum number of steps to form a step frame containing a plurality of continuous steps, and allocating the match groups to the steps and tracks of the step frame. In some embodiments of the first aspect, the obtaining the competitor information of the competitor includes obtaining historical competition results of the competitor and determining the capability information based on the historical competition results. In some embodiments of the first aspect, the event data processing method further includes scoring the competitors based on the behavior data and the competition results, and displaying a ranking of each competitor based on the scoring of each competitor. In some embodiments of the first aspect, the detecting abnormal behavior based on the real-time state of the competitor includes obtaining continuous multi-frame sensor data of the competitor, determining the continuous behavior of the competitor in real time based on the continuous multi-frame sensor data, and confirming that the abnormal behavior occurs when the continuous behavior meets an abnormal condition. The event data processing device provided by the second aspect of the embodiment of the application comprises an allocation unit, a middle detection unit, a data processing unit and/or a competitor capability model, wherein the allocation unit is used for responding to a data processing instruction of an event to determine a competition group and a corresponding competiti