Research On Model And Controller Of Temperature System For Traditional Chinese Drug Fumigation

At present, Traditional Chinese Drug Fumigation has become a common treatmentfor Lumbar disc herniation due to its significant effects, low costs and fewer sideeffects. However, its further development and improvement in terms of digitization arelargely constrained by the backward technology for the collection and storage ofclinical information and the low utilization of clinical experience.Temperature is a macro way of showing the transmission of energy. The factors,such as physical signs of the patients, outdoor temperature and fumigation prescription,interact with the temperature during the course of fumigation. However, up to nowthere is no uniform scientific criterion for it. Under this circumstances, setting up aTraditional Chinese Drug Fumigation temperature model and analysis of deepexcavation of the clinical resources will be of significant value, and helpful forimproving people’s health conditions.Temperature is the key to Chinese medicine fumigation treatment parameters andthere are complex physiological phenomena and physical phenomena in this course oftreatment. This lead to a normal temperature modeling and control methods can notapply to such systems. In order to solve this problem, using the intelligent control withbiomedical knowledge to traditional Chinese medicine fumigation temperature systemmodeling and control is the only way of traditional Chinese medicine fumigationmodernization development.The study of this paper as follows:Firstly, establish the mechanism of temperature based on heat transfer model.Chinese medicine fumigation temperature system is a big lag, strong coupling, andtime varying nonlinear systems. The fumigation cabin thermal environment model hasbeen established based on the analysis of the heat source heat conduction, convection,and the windows ventilation convection process.Secondly，research on variable universe fuzzy controller. a new-type function ofcontraction-expansion factor is established in this paper，which can be realized easilyto optimize the controller of complicated control system based on based on traditionalChinese medicine fumigation constructing clinical information, patient age, duration,temperature of heat source, the steaming time, outdoor mean air temperature and effectgrade. Fuzzy control is one of intelligent control methods which is based on fuzzy theory and interpolation mechanism, so the structure analysis of typical fuzzycontroller can offer important guidance for fuzzy controller design.Thirdly，variable structure dynamic fuzzy neural network Ying learning algorithmis proposed. Use the Stone-Weierstrass theorem in mathematical analysis to analyzethe variable structure dynamic neural network universal approximation capability,draw on the mathematical properties of the normal distribution in the matrixdecomposition and probability theory to create a rule learning algorithm for rulepruning algorithm, establish the sample space learning algorithms, and completenetwork stability analysis.Finally，establish of Chinese medicine fumigation temperature system simulationmodel. In the finite element toolbox PDE establishment heat source model, powermodel, diffusion model and controller model of prescription. Forecast the temperatureof different disease treatment process of the model, forecast values and measure valuesfitting relationship is good and the YL-DFNN on fumigation space for nonlinearsystem identification is effective. Simulation results show that YL-DFNN can achieveenergy saving control requirements on the different disease type temperature optimizedcontrol.