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The Research Based On Apriori Algorithm Of Association Rules In The Operating Risk Early Warning

Posted on:2015-10-07Degree:MasterType:Thesis
Country:ChinaCandidate:H ZhuFull Text:PDF
GTID:2298330467456755Subject:Software engineering
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Industrial/manufacturing factory complex environment unique fire and securitychallenges are put forward. High levels of mechanical and electrical equipment and extremecentralized storage goods and assets value means high fire risk huge indirect losses. Thecombustible gas and liquid used in the production process increase the risk of fire, smoke so itis imperative that any trace of early discovery. In the semiconductor manufacturing industry,the smoke pollution can not be tolerated, because of the effect of downtime and contract costsper hour is significant. In addition to the assets from fire or security vulnerabilities andproperty losses, indirect losses including contract fines, cleaning costs, brand image, loss ofcustomers and sales decline.Any accident arising from the production process has its inevitability and human factors,in case of any accident before also can have early warning, these signs are to view, and can becontrolled. On this basis, establish an early warning system for the safety in production isfeasible, and will do. Serious study of risk early warning theory and method of setting theright production safety early warning mechanism can completely before the accident to befound and controlled.Data mining analysis use different angles summary data into useful information. Datamining software is one of the data analysis tools, which allows the user to the data wasanalyzed from many different dimensions or angles, classification, summarizing,identification. Technically, data mining is from many large relational database fields in thediscovery of correlation or pattern.Risk early warning platform for this assignment is aimed at dalian fab productionprocess flow and design of process characteristics, aims to establish risk database and miningenterprises, combined with historical data and other risk related statements, based onassociation rules in data mining technology, realizing enterprise management risk earlywarning, the greatest degree of reduce injuries and enterprise assets loss.The platform adopts the.net software development technology, SQL SERVER as thebackground database, network architecture to B/S (browser SERVER mode. Service platform using the Web Service call function, involved in the platform interface to a Web page, complywith relevant technical standards.Platform established five function modules: early warning management, operationmanagement, history inquiry, safety evaluation and system management. Which is suitable fordatabase management risk early warning management information and early warninginformation, system management, history query and safety evaluation as the basic servicefunctions, the realization of the job management is the key research part.Job management includes declaration, review and scheduling risk early warning andthree parts. Construction personnel in performing hazardous work through the platform beforethe declaration details, operation risk early warning based on relevance principle, using therelationship between risk and early warning events. Warning event item set can be predictedby risk events and their correlation itemsets, thus warning information in a timely manner.Actual operation process is that data processing module based on the input of all kinds of riskearly warning data generated and create rule set, then a matching analysis of the rules.According to the algorithm of Apriori way, above all when the matching rules on risk data inthe database search a before rule, if you can’t find that the records do not match, continue tothe next rule matching rule set. If you can find, see the record and rule matching, risk earlywarning information.This platform design can meet the demand of enterprise, fabs belong to a special industry,a lot of homework there are security risks, establish the risk early warning platform forenterprise has good practical value. Platform based on data mining algorithm of associationrules design, fully consider the enterprise of a variety of practices, the complexity of theoperation personnel, has good safety and reliability. Platform has good expansibility, easy toconnect to the enterprise other system platform and platform function further expansion. Riskearly warning platform can improve the safety of the enterprise production environment, themaximum guarantee enterprise operation personnel safety and reduce the risk of enterpriseassets loss. Platform function set is simple and easy to understand, easy to operate.
Keywords/Search Tags:data mining, association rule, Apriori algorithm, risk early warning, homework todeclare
PDF Full Text Request
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