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The Freezing Refrigeration Station Automatic Control System

Posted on:2015-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:C ShaFull Text:PDF
GTID:2181330431491389Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Sinking freezing station for the first time by the German technology was first in1883, our drilling technology adoption since1995, has been nearly60years of development history. Under the current international energy shortage situation, energy conservation has become an important issue of global concern and research, coal a non-renewable energy is increasingly tends shortage of coal excavation of shallow strata has become exhausted, began to study and explore the deep mine the cut, thus to the development of deep alluvium freezing sinking technique provided an opportunity. However, the thickness of deep wellbore through the alluvium and freezing depth will be increased substantially, making the sinking of the freezing technique has achieved a higher level of demand. Professor Zhang Wen summarizes the status and achievements of freezing sinking technology, design theory expounded in deep freezing sinking technology, improve the structure of the wall construction technology and enhanced freezing achievements. However, at the same time encouraging results, there still exists a worrying problem, including a large number of power consumption, low level of automation, project cost is too high and other issues.The main topic of automation and control systems for refrigeration station started to freeze, easy to implement brine flow and temperature controlled separately by the brine flow and brine temperature fuzzy neural network decoupling control, by increasing salt brine circulation system for circulating the frequency energy control energy-efficient screw compressors by several groups to enhance the ammonia loop control system to optimize energy efficiency. Using these three methods to complete freeze refrigeration station automation and control to a certain extent, to save energy consumption, increase the level of automation, reducing project cost.Fuzzy neural network decoupling control using saline brine flow and temperature, to convert salt water and salt water flow temperature of the strong coupling of these two variables into two independent control variables to achieve a separate control saline brine flow and temperature. Frequency energy control method uses brine circulation system, can achieve a good energy saving effect of salt water pump frequency, the measured data of frequency energy transformation Yangcun salt mine in the brine pump fully reflects the circulatory system frequency energy saving effect. By number of units controlled screw compressor design optimization can be a good save ammonia circulatory system power consumption, reduce project cost. With the development of science and technology, energy optimization strategy, the content of this research will be a good application to practical engineering production.
Keywords/Search Tags:Freeze station control, fuzzy neural network decoupling control, Frequency control, Number of units optimized control
PDF Full Text Request
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