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The Explosives Production Line Modified Ammonium Nitrate Moisture Control System

Posted on:2012-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:L GuoFull Text:PDF
GTID:2218330335489437Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Moisture content is one of important factors that affect the quality of power dynamite. Meanwhile, it is also one of safety items that must be measured before the product is going to the market. Its content influences not only the performance of the dynamite, but also the security of producing system thereof. However, the automation degree's not satisfactory, together with workers'intensive labour in current dynamite product line make the coupling of influent factors exsited in producing process. All factors mentioned above lead to the poor ingredient adjustment and difficult realization of a real-time control of the whole producing process. Therefore, it is significant to research on how to implement real-time control on the ingredient through establishing a moisture control system of features changed ammonium nitrate in dynamite production line so as to realize a steady and high production of power dynamite and enhancing the competitive power of enterprises.This paper analyzes the major factors which influence moisture of features-changed ammonium nitrate in dynamite production line through the research on the producing process of power dynamite. At first, the product process is analyzed. Flow of ammonium nitrate and steam the main factors that influence the moisture of features changed ammonium nitrate in dynamite production line. Using methods of linear regression, a model that contains speed of liquid, concentration of ammonium nitrate and flow of ammonium nitrate, flow of steam is proposed. And then, we give research to the BP neural network PID and validate it with the data on site to get a reliable simulation result. Through online regulation on the parameters of neural network and PID, making moisture of dynamite products satisfy designed quality index.A moisture control system of features changed ammonium nitrate in dynamite production line based on the BP neural network PID is developed in this paper. The structure and function of system are presented, in which the technologies such as composition of hardware are introduced in detail. The controlling system adopts the structure of DCS., It realizes the function of monitoring, alarming and trends-displaying. The simulation results indicate that the control algorithm meets the standard of reasonable moisture. Small overshoot is got, and short regulating time is gained. The quality of dynamite and producing efficiency are both improved.
Keywords/Search Tags:Power dynamite, moisture control, BP neural network, PID
PDF Full Text Request
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