Prediction method of gas emission rate

A gas emission and prediction method technology, applied in the field of gas emission prediction, can solve the problem that the device does not have disaster prediction and forecasting capabilities, and achieve the effect of reducing prediction errors and making predictions scientific

Inactive Publication Date: 2018-02-16
周光前
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AI Technical Summary

Problems solved by technology

[0002] At present, the safety situation in coal mines is very severe, and major accidents occur from time to time. Although various safety monitoring dev

Method used

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Experimental program
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Effect test

Embodiment 1

[0016] Embodiment 1: a kind of prediction method of gas gushing quantity, its step comprises:

[0017] 1. Arrange gas sensors to monitor the gas concentration in real time, and transmit the data to the database to calculate the gushing volume and store it;

[0018] 2. Extract 100 safe gas emission quantities from the database, build a gas emission prediction model, and then extract 10 sets of data for practice, input parameters to predict gas emission according to the gas emission prediction model, and output the predicted value ;

[0019] 3. Compare the predicted value with the real-time monitoring value to form an error analysis and update the gas emission prediction model;

[0020] 4. Repeat steps 1-3 to monitor and predict the gushing volume in real time, and remind the staff when the gushing volume is abnormal.

[0021] Further, steps 2 and 3 are completed by extracting the historical data in the real-time database through the file created by Matlab language to construc...

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Abstract

The present invention provides a prediction method of a gas emission rate. The method comprises the steps of: 1. arranging a gas sensor, performing real-time monitoring of gas concentrations, and transmitting data to a database to calculate and store a gas emission rate; 2. extracting safety gas emission rates in the database, constructing a gas emission rate prediction model, performing gas emission rate prediction of input parameters according to the gas emission rate prediction model, and outputting a predicted value; 3. comparing the predicted value with a real-time monitoring value, forming error analysis, and updating the gas emission rate prediction model; and 4. repeatedly performing the steps 1-3, and performing real-time monitoring of the gas emission rate. Through adoption of high non-linear mapping of a neural network model and an Matlab language computing environment, data in the data is extracted in real time to correct the gas emission rate data model, and therefore, predicted errors are small, the prediction is more scientific and accurate, and scientization and quantification guidance is provided for avoiding outburst of gas.

Description

technical field [0001] The invention relates to the technical field of coal mine safety, in particular to a method for predicting gas gushing volume. Background technique [0002] At present, the safety situation in coal mines is very severe, and major accidents occur from time to time. Although various safety monitoring devices are equipped in coal mines, these devices do not have the ability to predict disasters and cannot take measures in advance to avoid major accidents. [0003] Mine gas is the main unsafe factor in the production process of coal mines. The amount of gas emission has an important impact on mine design, construction and mining. Correctly predicting the amount of gas emission and finding signs of gas emission are of great significance to mine safety production . Contents of the invention [0004] In order to solve the above technical problems, the present invention provides a method for predicting the amount of gas emission, which can predict the amoun...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 周光前
Owner 周光前
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