大規(guī)模反滲透海水淡化故障診斷專家系統(tǒng)的研究
[Abstract]:With the development of science and technology and society, the shortage of water resources has become one of the hot issues in the world. Reverse osmosis (RO) is rapidly becoming the most widely used seawater desalination method because of its advantages such as low equipment investment, low energy consumption and short construction period. The water quality safety of reverse osmosis system is affected by pretreatment and membrane fouling. The fault diagnosis can find the problem in time, which is of great significance to ensure the safety and efficient operation of the system. At present, various parts of the world have set up large-scale or even super-large-scale reverse osmosis desalination projects. The task of the research work is to study the methods of fault diagnosis for the super-large-scale reverse osmosis desalination projects. And on this basis, the preliminary establishment of expert system. The contents of the study are as follows: 1. The development trend of reverse osmosis seawater desalination at home and abroad is analyzed by reading a large number of relevant literatures. On this basis, the fault diagnosis methods and expert system technology are summarized. The research status of reverse osmosis engineering combined with the above methods and technologies is analyzed, and the significance of this research is expounded. 2. On the basis of understanding the working principle, system structure and technological process of the one hundred thousand ton daily seawater desalination project in Liuheng Island, Zhoushan, the typical faults of membrane module in reverse osmosis system are deeply studied. It provides knowledge support for fault diagnosis. 3. By using fault tree analysis, the logical relationship between the most valuable fault and other faults is expressed in a tree structure and qualitative analysis of the fault tree is carried out. The minimum cut set and the minimum diameter set of the fault tree are obtained, and the importance degree of the structure is analyzed. The analysis results lay the foundation for the design of expert system inference engine. 4. The knowledge base of expert system is designed by the method of minimum cut set and production rule of fault tree. The knowledge base of fault fact table, minimum cut set event table, fault rule table, fault condition table and maintenance table is established. The inference engine is established by using the reasoning method based on fault tree knowledge, the direction of reasoning and the search strategy of depth-limited priority. Basically completed the expert system design. 5. On the basis of the above research, the software of reverse osmosis desalination fault diagnosis expert system is developed based on Visual Studio2008 and SQL Server2005. The software can cooperate with the reverse osmosis monitoring system, judge whether there are faults in reverse osmosis work in real time, if any, diagnose the faults automatically, and give some suggestions for maintenance and maintenance. Simulation test and interactive test analysis of simulated data under different operating conditions show that the system has good fault diagnosis effect and application value.
【學(xué)位授予單位】:杭州電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:P747.5;TP277
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