Straw fermentation fuel ethanol production process key state variable soft measuring method based on fuzzy support vector machine

The invention discloses a straw fermentation fuel ethanol production process key state variable soft measuring method based on a fuzzy support vector machine. The method is characterized in that intelligent calculation is carried out based on a hardware platform, a measuring instrument and computer system software, real-time process data is obtained by the measuring instrument, and online real-time estimation is carried out. The method comprises the steps of: firstly, analyzing the technology mechanism of the straw fermentation fuel ethanol production process, selecting suitable auxiliary variables, establishing a training sample database according to historical batch fermentation data, then mapping the training samples to a high-dimensional core space, and calculating the fuzzy membership corresponding to each sample point in the core space; utilizing the fuzzy support vector machine to carry out training on the training samples after fuzzification, and establishing a soft measuring model; and finally, according to the newest input vectors of the batch fermentation to be predicted, predicting key state variables. According to the invention, the online real-time prediction of the key state variables in the straw fermentation fuel ethanol production process is realized, and the method has great significance on the parameter detection and optimization control of the straw fermentation fuel ethanol production process.