Design method of intelligent cloud computing system of test paper background processing

Abstract

The invention discloses a design method of an intelligent cloud computing system of test paper background processing. The intelligent cloud computing system is divided into a convergence layer, a whole paper processing layer, a cutting layer, a backup cutting layer, a subjective item service layer, an objective item judging layer, an objective item debugging layer and a core layer. The core layer is composed of a data base and a dispatch server, the other layers are server groups, and the dispatch server distributes server tasks of the layers in a unified mode. The intelligent cloud computing system is divided into different layers, and each layer achieves different functions, so that safety, reliability, security and popularization of the system are improved, intellectualization and automation of earlier test paper image processing are achieved, simultaneously high-standard requirements for data security and confidentiality during paperless paper inspection are achieved, and profession quality requirements for server performance and data administrators are reduced.

Description

technical field [0001] The invention relates to a design technology of a cloud computing platform, in particular to a design method of an intelligent cloud computing platform for background processing of test papers. Background technique [0002] When grading papers online, the test papers are scanned according to subjects and test rooms, and the red color on the test papers is filtered out, including the red option boxes for objective questions. The system consists of two parts, one is subjective questions and the other is objective The intelligent identification part of the question. The subjective part of the test paper is scored by the marking teacher on the subjective test web marking client, and the objective part is handed over to the computer for image recognition. To identify the objective question, first define the template of the test paper, and accurately locate each objective question according to the positioning hole. Fill in the position of the box to calcula...

AI Technical Summary

Problems solved by technology

However, when the current online marking system is processed in the background in the early stage, there are many manual operations by the data administrator and the problem of excessive authority. Due to the long span of the entire marking cycle, it is not conducive to the supervision of the data administrator, and the data security is limited. risks of

In addition, the whole process puts forward relatively strict requirements on the performance of the server and the professional quality of the data administrator, which is not conducive to the promotion

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