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Research On Materials Information Management And Forecast System In Vanadium Refining & Steel Plant

Posted on:2009-06-15Degree:MasterType:Thesis
Country:ChinaCandidate:H S YanFull Text:PDF
GTID:2178360272474250Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Steelmaking is a multi-procedure production which consists of intermittent and continuous work types. In the steelmaking, the real-time of production data acquisition and transmission is strong; the contacts among the procedures are tight; the real-time production data in each procedure are rich; the states of production are protean; the exchange frequency among grass-roots, production management Departments and production command system are high. In Vanadium Refining & Steel Plant, all the materials information is based on the process which builds the most direct and basic information flow of enterprise in time and space. Therefore, it's very important to supply the accurate materials weight information and consumption forecast information for Vanadium Refining & Steel Plant so as to streamline its logistics, converge each procedure reasonably, bring the maximum capacity of procedure into play, adjust product structure in time, build information projects, implement the sophisticated production and management.The paper takes the Refining & Steel Plant as its subject. Based on the research of complex production process and the existing management system, the paper regards the building of materials weight information system which is based on network management and forecast to implement automatic acquisition and management of materials weight information materials and process data of each procedure, support materials consumption forecast, and facilitate the operation people's production management and scheduling as the purpose.According to the characteristics of production process, the system adopts a sub-section management model, establishes respective collection stations in various production sections, which are used to collect materials weight information and interrelated production parameters in each section, so that the staff can master production data in time and facilitate the production process tracking and materials information management.The system mainly researches and achieves some functions, including materials weighing data transmission, acquisition, management, and materials consumption forecast. The implementation of materials weighing data transmission is realized through the key technologies of TCP / IP communications, serial communications, Windows Sockets communications, radio transmission, radio frequency identification technology, so the weight information can enter the collecting station computers quickly and accurately; the weighting data can be collected and saved automatically, as well as the implementation of some functions, such as related data query, statistics and report forms, by some relevant software; the production data can be stored, accessed and maintained through the use of SQL Server 2000 database, including its maintenance plans and operations in order to guarantee the long-term stable operation of the database and the integrity and reliability of the data, and in addition the online query and statistics of weight information can be obtained by B/S model and ASP technology; an materials consumption forecast model is established according to the neural network improved by genetic algorithm in order to achieve accurate forecast of materials requirement Information for the next cycle.After the system goes into effect, it greatly reduces the working strength of operational staff and the impact of human factors, increases the accuracy and real-time of materials weight data. It also realizes the query and analysis of historical data in the entire plant, facilitates the locale technical personnel and production management personnel to analyze the production process, which greatly supports production management, production planning and scheduling for steel plant.
Keywords/Search Tags:Production Management, Data Acquisition, Materials Information, Consumption Forecast
PDF Full Text Request
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