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Research On Automatic Marking Technology Of Two Ticket Checking System In Power Plant

Posted on:2017-06-03Degree:MasterType:Thesis
Country:ChinaCandidate:J J XuanFull Text:PDF
GTID:2322330488488322Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The research of automatic marking technology in the two ticket checking system of power plant. Two ticket checking system for power plant refers to the management system of the work ticket and the operation ticket, and the work ticket and the operation ticket are the proof of all kinds of behavior in the production activities, and it is a powerful guarantee for the safety of power plant.Internet era, Web technology is more and more applied in enterprise level project management system, in this context, many thermal power plants have achieved B/S mode(Browser/Server mode, that is, the browser and server mode) network of two ticket system project management. The fast development of network paperless examination technology, greatly reducing the workload of marking, improving the accuracy and objectivity of the marking, it is a big leap of the examination technology. The automatic marking technology is mainly used in the standard test part, discusses the application of simple, part of the title is not mature, resulting in the automatic correction technology has appeared in nearly ten years, is still only used in some of the subjects of the examination, the reason is because the automatic correction technology in the aspects of subjective is still in the research stage, there are some technical obstacles, the paper analyzed the difficulties of automatic marking of subjective questions in technology. A Chinese semantic similarity algorithm based on multiple factors is proposed.In the course of the study Chinese semantic similarity algorithm, this paper from three aspects of sentence semantic, morphological and syntactic structure factors were discussed and studied, combining the three factors of their advantages and disadvantages, for Chinese semantic similarity algorithm is improved by considering the influence of various factors on the comparison results, proposed a the integration of a variety of factors Chinese semantic similarity algorithm. Finally, this algorithm is implemented in the two ticket management training evaluation system of power plant based on B/S architecture. The feasibility and practicability of the proposed algorithm is verified by experiments.
Keywords/Search Tags:automatic marking of subjective questions, semantic similarity, two-ticket system of thermal power plants, fusion of multiple factors
PDF Full Text Request
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