| Ultrasound has been widely applied in various fields since its discovery in 1830,and has been widely applied in the field of traditional Chinese medicine extraction.Compared with other traditional traditional Chinese medicine extraction methods,ultrasonic extraction has the advantages of simple operation,short time,high efficiency and less pollution.It is a time-saving and efficient extraction method.Firstly,the extraction process of puerarin is treated as the research object,and the thermodynamic characteristics and the kinetic characteristics of extraction process based on ultrasonic extraction mechanism are analyzed.After analysing the effect of temperature heating on the extraction rate in ultrasonic extraction,the temperature compensation is made to the established dynamic model,and The accuracy of the revised model is higher.Secondly,in order to solve the problem that the intelligent optimization algorithms,such as particle swarm optimization,genetic algorithm and so on,will get into local optimal solution and lack of search power in the process of optimizing the parameters of soft measurement model.And an adaptive opposite-based biogeography-based optimization algorithm(AO-BBO)is proposed.At the same time,the soft sensor model with time and temperature as auxiliary variable is corrected with initial temperature which is taken as a factor that affects the accuracy of the model.At last,in view of the complexity and low efficiency of detecting most of the off-line detection by artificial test and instrument,the design method of embedded detection system based on Raspberry Pi is put forward,and the online detection system is built to realize the on-line detection of the extraction process of the puerarin.The main contents are as follows.(1)Ultrasonic extraction of traditional Chinese medicine mainly depends on its cavitation.In this paper,the energy conservation law of the extraction process is analyzed,and the dynamic model of ultrasonic extraction is established according to the first law of Fick.The ordinary differential equation between the extraction rate and the ultrasonic action time and the extraction temperature is established.The accuracy of the model is further improved by correcting the initial temperature of the solution to the dynamic model.(2)Soft sensing modeling of puerarin extraction process is done by different intelligent methods.In order to solve the problem of insufficient search power in the later search of BBO algorithm,an adaptive opposite-based BBO algorithm is proposed.And the improved algorithm is compared with the different modeling methods,which shows the superiority of the improved algorithm.(3)Compared with the previous ultrasonic extraction technology,the original soft measurement model is modified by using the initial temperature as an auxiliary variable.The soft measurement model of puerarin extraction is established with the ultrasonic time,the extraction temperature and the extraction temperature as the auxiliary variable.Compared with the soft sensing model,which only considers the ultrasonic time and the extraction temperature as the auxiliary variable,the model modified by the model can get more accurate results and can be applied to the extraction of different initial temperatures.(4)After establishing the soft sensing model of puerarin,an online detection system of Puerarin extraction rate based on embedded architecture is built.This paper uses Python to develop and debug the software of the slave computer,and realizes the functions of on-line real-time temperature data acquisition,extraction rate calculation,data transmission and result 3D display.Using the Qt development environment to develop and debug the master computer software,the functions of soft measurement model updating,data packet analysis,data storage,historical data display,and 3D coordinate system display are realized. |
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