Coal gas measuring method by utilization of BP neural network

A technology of BP neural network and measurement method, which is applied in the field of gas flow measurement and can solve problems such as compensation uncertainty

Inactive Publication Date: 2008-12-10
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the above-mentioned shortcoming, provide a kind of gas flow metering method using neural network (technology), can solve the problem of compensation uncertainty in the gas flow metering process, improve the accuracy of gas flow metering

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  • Coal gas measuring method by utilization of BP neural network
  • Coal gas measuring method by utilization of BP neural network
  • Coal gas measuring method by utilization of BP neural network

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Embodiment Construction

[0014] The gas flow metering method based on BP neural network of the present invention mainly divides following three steps:

[0015] 1. Sample data collection: Select historical and accurate settlement data (including temperature, pressure, differential pressure and flow rate) as samples.

[0016] 2. BP network training: Because any continuous function in a closed interval can be approximated by a hidden layer BP network, a three-layer BP network can complete any N-dimensional to M-dimensional mapping. The number of input layer nodes of the BP neural network used in the gas metering of the present invention is 3, the number of hidden layer nodes is 10, and the number of output layer nodes is 1.

[0017] BP algorithm is composed of two processes: forward calculation of data flow (forward propagation) and back propagation of error signal. During forward propagation, it is input layer→hidden layer→output layer, and the state of neurons in each layer only affects the neurons in...

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Abstract

The invention relates to a coal gas flow measuring method by utilizing BP NN (technology). A three-layer BP NN is selected as a prototype; a three-layer BP NN model is built to predict the coal gas flow; the method mainly includes the following three steps: 1) collecting sample data: selecting settlement data (including temperature, pressure, pressure difference and flow) with accurate history as a sample; 2) training a BP network: inputting the sample data in the step 1) into the three-layer BP network, training the network, comparing a coal gas flow value inputted by the network with a corresponding sample value until the mean square error for training the network reaches the requirements and confirming the important parameters of weight and the threshold of the network; 3) measuring the coal gas flow: inputting the collected coal gas temperature, pressure and pressure difference into the BP network trained in the step 2) during production prediction, thus being capable of predicting the coal gas flow value. The coal gas flow measuring method applies the BP NN technology into measuring the goal gas flow, thus solving the nondeterminacy problem of flow complementing.

Description

technical field [0001] The invention relates to gas flow metering technology, in particular to a gas metering method based on BP (Back Propagation) neural network ANN (Artificial Neural Networks). Background technique [0002] With the development of market economy and the advancement of science and technology, the requirements for measurement accuracy are getting higher and higher. No matter what kind of flowmeter is used and what kind of fluid is measured, compensation measures are often required to improve the accuracy of measurement. [0003] The so-called flow compensation is the correction of the systematic error of the flowmeter reading. Most of the system errors of flow detection devices are caused by changes in fluid properties and conditions (such as temperature, pressure, composition, and flow range, etc.), and the scale relationship between the output signal of the flowmeter and the measured flow can only be based on a specific process condition. To determine, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01F1/00G06N3/06
Inventor 张力冯俊李宗禄刘峰李军
Owner KUNMING UNIV OF SCI & TECH
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