Temperature measurement method of micro-reactor based on neural network

Abstract

A neural network-based temperature measurement method for micro-reactors, comprising the following steps: (1) acquiring characteristic temperature measurement signals and target temperature measurement signal parameters at different locations, (2) establishing a neural network, (3) analyzing the neural network Network is trained and tested, (4) utilizes described neural network to measure microreactor target temperature; Neural network of the present invention is the BP neural network based on L-M algorithm, comprises an input layer, a hidden layer and an output layer, the input variables of the input layer are the incoming flow temperature, inlet temperature, outlet temperature, inner wall temperature, partition wall temperature, outer wall temperature, and ambient temperature of each interface position of the multilayer wall surface of the microreactor; the target of the output layer is the microreactor The target temperature value of the measured point of the reactor. The invention realizes the rapid, accurate and reliable description and prediction of the target temperature value of the micro-reactor, and can be used for the measurement of micro-reactor temperature in the fields of analysis, micro-chemical industry, micro-energy system, etc., and is also applicable to other small temperature changes and lower Signal-to-noise ratio of the temperature measurement field.

Description

technical field [0001] The invention relates to a temperature measurement method for a micro-reactor, in particular to a temperature measurement method for a micro-reactor based on a neural network, which can reduce noise, correct temperature signals, and improve signal-to-noise ratio and measurement accuracy. Background technique [0002] Microreactor generally refers to a reaction system with fluid channels on the order of microns to millimeters. Its unique advantages are the enhancement of mass and heat transfer process and the improvement of flow mode, and its efficiency is several orders of magnitude higher. The heat and mass transfer process has a wide range of application backgrounds in the fields of biochemical analysis, bioengineering and chemical synthesis, preparation and micro energy systems, and has a key impact on the process, product quality, production efficiency and production methods in many applications and frontier fields . Microreactors are susceptible ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the defects that the existing micro-reactor temperature measurement process is easily disturbed, the signal-to-noise ratio is low, and it is difficult to accurately and effectively reflect the real temperature value, and to realize the fast, accurate and reliable target temperature value by using the neural network method It can be used for the measurement of micro-reactor temperature in the fields of analysis, micro-chemical industry, micro-energy system, etc.

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