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The Research Of The Hazard Identification Based On Gray System

Posted on:2008-12-04Degree:MasterType:Thesis
Country:ChinaCandidate:H G ZhangFull Text:PDF
GTID:2121360242958893Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
With the developing of economy at high speed in China, the situation of work safety is facing challenge. The frequent occurrence of severe and extraordinary serious accidents and the less optimistic safety production situation have made the management of severe hidden accident and dangerous source to become the focus of work in every department at all level. Up till the present moment, the National Standard of "the Severe Dangerous Source Identification" is only applicable to the severe chemical dangerous source, and there is not a relevant identification standard about the non-chemical dangerous source in China. Therefore, it will be great significance it inquire the hazard identification on the non-chemical dangerous source.Based on associated degree analysis method, this paper uses the hidden danger, existed condition and activated factor as the primary identification indexes of the non-chemical dangerous source to determine the associated degree between the dangerous source and the best identification index. From this, the grey all-levels comprehensive model of the dangerous source identification is constructed and the testing and verifying are given to the largest chemical recovery workshop in the Yanzhou ore zone coking plant. The good and bad order of the dangerous source's hazard in this workshop can be obtained through this test. The results show that the model is available because of its high accordance with the actual situation.This paper introduces the primary concepts and common identification methods about dangerous source by analyzing the present research of the dangerous source identification in home and abroad and its problems. It can be classified under two types: chemical dangerous source and non-chemical dangerous source. The research indicates that it is important and urgent to develop the research on the dangerous source identification.Combined with predecessors' research on the dangerous source identification, this paper uses associated degree analysis method of the grey system theory to identify the non-chemical dangerous source. Among the many factors which influence the degree of the dangerous source's hazard, the hidden danger, the existed condition and the activated factor are regarded as the three primary identification indexes. Each dangerous source's associated degree value is calculated separately in the paper. By using this method, the dangerous source identification model (grey all-levels' comprehensive model) is constructed. The calculation procedure of the dangerous source's grey associated degree and the construction procedure of the grey all-levels' comprehensive model are illustrated by the procedure block diagrams, which makes the calculation easier.The thirteen harmful equipments of the chemical products recovery workshop, which is the largest workshop in the Yanzhou ore zone coking plant, are regarded as the non-chemical dangerous source in the last part of this paper, and then the fraction value of the each dangerous source's three indexes are presented with the reference of working conditions' hazard evaluation method. Based on the premise of the three indexer's identical influence on the dangerous source' hazard value, the associated degree between the thirteen hazardous source and the reference sequences are determined, and then the grey comprehensive evaluation model of the systematic dangerous source identification is constructed and the degree of each dangerous source's hazard is sequenced with a corresponding identification result which tests and verifies the key theory in this paper by real instance. The theory advanced in this paper can be further generalized because of its better practice effect.
Keywords/Search Tags:dangerous source identification, non-chemical dangerous source, grey system, associated degree analysis, grey comprehensive evaluation model
PDF Full Text Request
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