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PostWysłany: Czw 1:51, 30 Gru 2010    Temat postu: ugg stivali Aluminum intelligent control technolog

Aluminum intelligent control technology research and application


\Can be based on \Inference engine using the database data and the fact that the premise of each rule to match. The fact that due to the fact the library (assertions) of the proposition is not only accurate, but also inaccurate proposition, inference engine not only allows precise match, but also allows partial matching,ugg stivali, the rules of harmony for all the matching pieces with the assertion before the match between the minimum level, as long as the value is greater than the preset threshold, the rule to trigger the rule into the set, using rule groups, priority and level of conflict resolution strategies matching the final selection of the implementation of rules. The cell has a non-linear, time-varying characteristics, in order to enhance the robustness of the controller, according to the characteristics of cell can be \changes modify the input fuzzy variables corresponding to the exact value of the domain and / or output fuzzy variables corresponding to the exact value of the domain, so easily and effectively achieve the online fuzzy expert controller automatically adjusts the operating point and the dynamic and static quality purposes. Online Simulation Subsystem 3.2 to establish the sub-field of computer simulation of the physical principles, it can collect and quantify all the information reflects the changes in the physical market, the use of dynamic simulation model of the physical field characteristics of the unknown parameters is solved and, if necessary When the dynamic two-dimensional graphics simulation results. The light metal in 2003 -62 * 1 slot valuable results include the temperature distribution and slot hearth. Figure 2 inference engine condition diagnosis reasoning process of expert subsystem 3.3 slot to slot can be used to diagnose the status of a variety of information, incomplete, imprecise and uncertain characteristics. So. If you use \. \To avoid this problem, an effective way is to use neural network technology to construct the sub-tank experts, the knowledge base status diagnosis, because the expression of neural networks in knowledge, learning, review, refine, and has high parallel processing efficiency. Used for slot condition diagnosis information can be obtained in three ways, one is controlled from the slot machine information: one is from the \As part of the diagnostic tank expert system can be divided into two types: the status of diagnostic knowledge for the tank; the other slot to maintain the status of decision-making knowledge, so the network accordingly divided into two to four parallel connected sub-networks. Which constitute the status of the slot shown in Figure 3 diagnosis expert subsystem. The \adjust the volume, \Figure 3 slot Neural Network Expert System for Diagnosis Chart 4 aluminum intelligent control system economic innovation, in China Great Wall Aluminium electrolysis plant whole plant 250 slots application, the current efficiency of 3.11%. Lower DC power consumption of 411kWh / t. A1,ugg italia, annual saving 21,370,000 kwh, increase ingot 1737t. Therefore, the price of electricity by 0.32 yuan at current price / kwh, aluminum ingots 16,000 yuan / t,air jordan shoes cheap, ingot cost 12,000 yuan / t terms, the energy saving benefits of 6.838 million yuan, the annual increase efficiency 6.948 million yuan. Both total 13.786 million yuan. References: [1] Feng Dongqing, eds. Fuzzy Intelligent Control [M]. Beijing: Chemical Industry Press, l998. ��2] LiJle,ed hardy clothing, LiuYexiang, HuangYongzhong, Anestimationmodelofalu-minaconcentrationforpoint-feedingaluminiumreductioncells, LightMetals,ugg milano, 1994. [3] Li, robbery, before the king Pu, Xiao Jin and so on. Aluminum intelligent fuzzy control system [J]. South Africa has eup of, 1998. [4] Sun Chunliang. Fieldbus-based intelligent control system for aluminum fully distributed development and application [J]. Light gold dust, 2000 (4). [5] Wu Jun, aluminum factory network management and control integration and implementation of integration technologies [J] Light Metal, 2002 (7). (Editor Liu J Van

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