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Gas heat value estimation method and device based on combustion time sequence model

A time-series model and gas technology, applied in the field of gas calorific value estimation, can solve the problems of large gas pipeline network, high investment and maintenance costs for configuring calorific value analyzers, and vulnerability to environmental factors.

Active Publication Date: 2021-04-23
ZHEJIANG SUPCON TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Gas calorific value refers to the heat that can be released when a certain volume of gas is burned. In an ideal state, the gas calorific value is linearly related to parameters such as gas input, furnace temperature, and oxygen content. However, in the actual factory application scenario, The gas pipeline network is generally relatively large, easily affected by environmental factors, and there are many gas users, and many devices are incorporated into the gas pipeline network, so the calorific value of gas in the gas pipeline network is always at a high level The fluctuating state will cause irregular and irregular impact on the subsequent gas user equipment, so it is necessary to monitor the fluctuation of the gas calorific value in order to make corresponding adjustments in time
[0003] The traditional monitoring method of gas calorific value is to configure a calorific value analyzer at a specific location to realize real-time monitoring of the gas calorific value, but the investment and maintenance costs of configuring the calorific value analyzer are relatively high, and once the plant system equipment changes, it needs to be redone Transformation, narrow scope of application

Method used

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  • Gas heat value estimation method and device based on combustion time sequence model
  • Gas heat value estimation method and device based on combustion time sequence model
  • Gas heat value estimation method and device based on combustion time sequence model

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Embodiment 1

[0049] Such as figure 1 As shown, the present invention proposes a gas calorific value estimation method based on the combustion sequence model, including:

[0050] S1: Obtain the historical operating data and historical gas calorific value of the heating furnace based on the preset sampling period.

[0051] The historical operation data includes gas input amount, furnace temperature, oxygen content and equipment parameters of the heating furnace. In this embodiment, the above-mentioned historical operation data and the corresponding historical gas calorific value are obtained based on the preset sampling period, and then the obtained data is standardized. The standardization method includes standardization such as min-max and z-zone. Finally, the standardized processed data is sorted based on time series and stored in the system database.

[0052] S2: Train the combustion timing model of the heating furnace according to the historical operation data and historical gas calor...

Embodiment 2

[0069] Such as figure 2 As shown, the present invention proposes a gas calorific value estimation device 5 based on a combustion sequence model, including:

[0070] Sampling unit 51: used to acquire historical operating data and historical gas calorific value of the heating furnace based on a preset sampling period.

[0071] The historical operation data includes gas input amount, furnace temperature, oxygen content and equipment parameters of the heating furnace. In this embodiment, the above-mentioned historical operation data and the corresponding historical gas calorific value are obtained based on the preset sampling period, and then the obtained data is standardized. The standardization method includes standardization such as min-max and z-zone. Finally, the standardized processed data is sorted based on time series and stored in the system database.

[0072] Modeling unit 52: used for training the combustion sequence model of the heating furnace according to the hist...

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Abstract

The invention provides a gas heat value estimation method and device based on a combustion time sequence model. The method comprises the steps of acquiring historical operation data and a historical gas heat value of a heating furnace based on a preset sampling period; training a combustion time sequence model of the heating furnace according to the historical operation data and the historical gas heat value; acquiring real-time operation data of the heating furnace in a preset time period, inputting the real-time operation data into the combustion time sequence model, and performing superposition calculation on a time sequence result output by the combustion time sequence model; and performing periodic correction on the superposition result based on a preset weight, and taking an output result after periodic correction as an estimated value of the gas heat value. According to the linear superposition principle, the nonlinear relationship between the heating furnace operation data and the gas heat value is decomposed into a plurality of linear relationships, the gas heat value is estimated, the limitation of monitoring the gas heat value by means of a heat value analyzer is overcome, factory system equipment does not need to be transformed, and the invention can be more widely applied to different heating furnace systems.

Description

technical field [0001] The invention belongs to the field of gas calorific value estimation, in particular to a gas calorific value estimation method and device based on a combustion sequence model. Background technique [0002] Gas calorific value refers to the heat that can be released when a certain volume of gas is burned. In an ideal state, the gas calorific value is linearly related to parameters such as gas input, furnace temperature, and oxygen content. However, in the actual factory application scenario, The gas pipeline network is generally relatively large, easily affected by environmental factors, and there are many gas users, and many devices are incorporated into the gas pipeline network, so the calorific value of gas in the gas pipeline network is always at a high level The fluctuation state will cause irregular and irregular impact on subsequent gas user equipment, so it is necessary to monitor the fluctuation of gas calorific value in order to make correspon...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/27G06F16/2458G06Q50/06
CPCY02P90/30
Inventor 郑信春金晓明
Owner ZHEJIANG SUPCON TECH