Robot competition scoring data processing method and system, storage medium and computer

Abstract

The invention belongs to the technical field of data processing, and discloses a robot competition scoring data processing method and system, a storage medium and a computer. The method comprises: randomly extracting a team, and assigning a representative to extract a cancel task by the extracted team; setting a task cancelling project, and dynamically configuring task parameters according to theextracting result; acquiring the competition processes of each competition platform, accessing an electronic number calling subsystem, and checking the team about to compete; when the score state is selected, automatically scoring by a system; and real-timely displaying ranking according to set condition statistics. According to the method, the existing competition process link is optimized, the past several-hour post-competition statistics link is optimized, and the competition result can be obtained through statistics in time after the competition is finished basically; and a user only needsto input specific competition items, scores, requirements and other information of a competition into the template according to competition rules and competition requirements of competition items, acustomization system corresponding to the competition can be automatically generated, and a series of competition operations such as automatic scoring, auditing and publishing are completed.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a scoring data processing method, system, storage medium and computer for robot competitions. Background technique [0002] At present, the closest existing technology: robot-related events are still mostly manual in the event process links such as inspection, lottery, scoring, and statistics. The manual method has pain points such as error-prone, slow statistics, and poor timeliness. [0003] To sum up, the problems existing in the prior art are: the existing manual method is error-prone, slow in statistics, and poor in timeliness. [0004] The difficulty of solving the above technical problems: [0005] (1) Due to the score table of the competition event, there are logical relationships such as mutual exclusion, or, and progression among the scoring items, and there are different scoring logics and deduction logics. It is difficult to parse and render tas...

AI Technical Summary

Problems solved by technology

The manual method has pain points such as error-prone, slow statistics, and poor timeliness

[0003] To sum up, the problems existing in the existing technology are: the existing manual method is error-prone, slow in statistics, and poor in timeliness

Make the parsing and rendering of task parameters difficult

[0006] (2) There are so many competitions that it is difficult to anticipate all competition situations and rules

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