Solid state fermentation control method based on neural network and particle swarm algorithm

Abstract

The invention discloses a solid state fermentation control method based on a neural network and a particle swarm optimization and aims to solve the problems that the fermented material data cannot be detected in real time and cannot be controlled in real time in the conventional solid state fermentation technology. The method comprises the following steps: 1, initializing training data, training the neural network, and starting the fermentation process; 2, solving proper external input parameters based on the neural network through the particle swarm optimization; 3, training the neural network through the real-time data; 4, judging whether manual sampling measurement is performed, if so, performing sampling measurement and training the neural network through the measured data; and 5, judging whether the fermentation process is ended, if so, stopping cycling, otherwise returning to the step 2. The manual sampling frequency needed by solid state fermentation is far less than the manual regular sampling frequency of the traditional solid state fermentation, the solid state fermentation production efficiency is improved, and the problem that pollution is easily caused due to repeated sampling is solved.

Description

technical field [0001] The invention relates to a solid-state fermentation control method, in particular to a solid-state fermentation control method based on a neural network and a particle swarm algorithm, and belongs to the technical field of bioengineering equipment. Background technique [0002] Solid-state fermentation refers to a production process in which one or more microorganisms are used to carry out biological reactions in a water-insoluble substrate with a certain humidity in the state of no or almost no free-flowing water. Compared with other cultivation methods, solid-state fermentation has the following basic characteristics: 1. Low equipment energy consumption; 2. High product yield; 3. No "three wastes" emission pollution, which makes it easy for production enterprises to realize clean production processes. Therefore, since the 1990s, with the increasingly serious energy crisis and environmental problems, solid-state fermentation technology has attracted w...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a solid-state fermentation control method based on neural network and particle swarm algorithm, to solve the problem that in the prior art, the temperature, humidity and pH value physical parameters of the solid material cannot be detected online in real time due to technical and equipment limitations. Frequent manual sampling at intervals, and then using biological instruments for off-line analysis to control the fermentation process, will easily lead to low production efficiency of solid-state fermentation, and multiple sampling will easily cause pollution problems

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