Anaerobic fermentation temperature control system and method based on BP neural network prediction

Abstract

The invention provides an anaerobic fermentation temperature control system and method based on BP neural network prediction, and the system mainly comprises a flue gas waste heat exchanger, a deslagging waste heat exchanger, a dead steam waste heat exchanger, a heating circulation heat exchanger, a temperature monitor, a constant-temperature water storage tank, and a BP neural network controller. The control method comprises the following steps: constructing a neural network model, obtaining an anaerobic fermentation system data sample, carrying out neural network learning, carrying out online identification on a system control rule, defining a target optimization function, and obtaining a temperature control parameter by using an optimization algorithm so as to enable the actual anaerobic fermentation temperature to be consistent with the target temperature. The temperature control system maintains the anaerobic fermentation temperature by using the waste heat of the power plant, has remarkable energy-saving benefits, identifies and dynamically predicts the system by using the neural network, adjusts control parameters through an optimization algorithm, overcomes the interference of the uncertainty and time-varying characteristics of the system on temperature control, and improves the control accuracy of the system. And the control response speed and precision are greatly improved.

Description

technical field [0001] The invention belongs to the field of biomass energy utilization, and in particular relates to an anaerobic fermentation temperature control system and method based on BP neural network prediction. Background technique [0002] Anaerobic fermentation refers to the process of decomposing organic matter by microorganisms under suitable conditions to obtain biogas rich in methane. Efficient use of materials. In the process of anaerobic fermentation, temperature is one of the key factors affecting biogas production. According to the temperature of the biogas tank, anaerobic fermentation is usually divided into normal temperature fermentation (10-30°C), medium-temperature fermentation (30-40°C) and high-temperature fermentation. (50-60°C). In addition, temperature fluctuations also have a great impact on the efficiency of anaerobic fermentation. Generally speaking, the daily temperature fluctuation of anaerobic fermentation should be controlled within ±2°...

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Problems solved by technology

[0003] Aiming at the problem of high energy consumption required for heating to maintain anaerobic fermentation temperature in cold regions, some scholars have proposed to use renewable energy such as solar energy or geothermal energy for heating. Stable and requires other energy sources for auxiliary heating, which makes the anaerobic fermentation temperature control system more complicated, which is not conducive to popularization and application

In addition, the current temperature control of anaerobic fermentation mainly adopts the traditional PID algorithm. This algorithm has the disadvantages of system instability, time-varying, prone to large overshoot range, and long stability time. It is difficult to meet the requirements of anaerobic fermentation for high temperature control accuracy. requirements

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