| Yuhuasi Mine is one of the mines which belong to Mine Company of Wugan Steal and Iron Group. But recently, there is great distortion in laneways of phases of -137.5m and -150m, which have directly affected the production and structure of the mine. In this thesis, the author analyzed the factors which affected the distortion of the laneways. Through the neural network study of the data of distortion in different time, the result of the study is looked as the basis of checking to predict the distortion and gain good result.The author exploited a set of neural network Algorithm software--BPNNS System, which is C/S truss and based on the operation system of Windows 2000 Server. So it can be accessed and controlled remotely. The system is coded in Delphi 6.0 which is exploited by Inprise Company. The friendly forms are useful to control the process, change information in real time, manage, and query. SQL Server 2000, exploited by Software Company, stores the information. Because of the its database language --Transact-SQL, we can store, manage, change and query easily.During the period of the thesis, the author did lots of work to observe in the port, experiment, gather data, reference lots of documents and data, and exploited a useful BPNNS System, and gained the following achievements.1) Attending the researching item of pressure analysis and control of Yuhuasi Mine. The author analyzed the pressure distributing rules of the mine and gained the rules, researched the order of mining using digital simulation.2) Researching the pressure of distorted laneways. The author analyzed the distributing rules of pressure of laneway, analyzed the fundamental principle, brought forward the affected factors of pressure, including some natural factors and manual factors, and brought forward the effect, caused by pressure, to the stability of mine primarily.3) Listing the possible factors affecting the laneway distortion. The author used some important factors to predict the distortion.4) Using fuzzy algorithm--BP neural network to predict the lanewaydistortion. There are many factors affected the distortion. Some of them we know a lot. Some of them we know very little. And the factors affect each other. So we need fuzzy algorithm to solve the problem. The neural network algorithm can predict the distortion because of its powerful capability of non-linearity and dynamic disposal. From the calculated result, we know the algorithm is suit to solve the problem.5) Researching and realization the coding using Delphi 6.0. Because it is needed in the process to input and output information and data, change parameters, choose calculated situation, control the process of calculation and query information. All of above need friendly forms.Delphi 6. 0 is used in the algorithm successfully because of its friendly forms and powerful database capability.6) Researching and realization the neural network calculation, the store of project information and data, output, management, changing, query using SQL Sever 2000. SQL Server 2000 can store a great deal of data, even reach to the capacity of hard disk. Its coding language--Transact-SQL, can operate databases, tables and fields easily. In BPNNS System, all information of projects and calculation are stored in the database, which provides the data and information for the query.7) Exploit a set of BP neural network software--BPNNS, whosecharacters are as follows:(1) It is suit for all kinds of BP neural network algorithm, and not limited by the network structure. The system can create amount of textbox dynamically to accept input and store it to database.(2) The system has 4 main functions, such as adding, changing, query and deletion. We create new project and change the structure of network when necessary. We also can query the information of system and project and delete the useless project.(3) If the network structure is not reasonable, we have to change it and recalculate instead of creating new network structure. During the changin...
|
PDF Full Text Request