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Disastrous consequence predication method of CNG (compressed natural gas) filling station

A technology of compressed natural gas and prediction methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of not considering the influence of natural gas concentration distribution, deviation from the actual situation, etc.

Active Publication Date: 2015-04-29
SPECIAL EQUIP SAFETY SUPERVISION INSPECTION INST OF JIANGSU PROVINCE
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AI Technical Summary

Problems solved by technology

The above-mentioned two natural gas filling station disaster consequence prediction models do not consider the influence of the concentration distribution of natural gas after leakage, and only use the leakage diffusion under ideal conditions as the basis for predicting consequences
As a result, the existing prediction results of natural gas leakage disaster consequences may deviate from the actual situation

Method used

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  • Disastrous consequence predication method of CNG (compressed natural gas) filling station
  • Disastrous consequence predication method of CNG (compressed natural gas) filling station
  • Disastrous consequence predication method of CNG (compressed natural gas) filling station

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specific Embodiment

[0118] FLUENT is used to simulate the diffusion of natural gas leakage. The range of the model area is 100m×100m, the diameter of the leakage hole is 0.1m, and the center of the leakage hole is at the center of the ground. The obstacle height is 20m, and the distance between the leakage hole and the obstacle is 5m. The concentration distribution of natural gas is obtained through post-processing.

[0119] Such as figure 1 As shown, in the absence of obstacles, the natural gas leakage velocity is 340m / s, and the area where the natural gas concentration is greater than 5% when the wind speed is 0m / s respectively. Take it as an example to describe the calculation process of the area area in detail:

[0120] The first step: use the difference method to remove the background of the image

[0121] The mathematical expression of differential processing algebraic operation is: C(x,y)=A(x,y)-B(x,y), where A(x,y) and B(x,y) are input images, A(x,y) is the original image, B(x,y) is t...

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Abstract

The invention relates to a disastrous consequence predication method of a CNG (compressed natural gas) filling station. The method comprises the steps of 1, removing background of an image by the differential method; 2, performing binarization processing for the image by the automatic threshold method; 3, performing median filter to remove various interference noises in the image; 4, calculating region area. According to the method, dangerous region correction factors are utilized, so that the result of the existing natural gas leakage disastrous consequence evaluation mode meets the actual condition; the influence of the barrier distribution and meteorological conditions is taken into account; FLUENT software is utilized to simulate the natural gas leakage dispersion condition, and the dangerous region correction factors are calculated according to the simulation result; the existing vapor cloud explosion quantitative evaluation model and API pub 581 quantitative consequence evaluation model are corrected through the correction factors, and therefore, the evaluation result meets the actual condition.

Description

technical field [0001] The invention relates to a method for predicting disaster consequences of a compressed natural gas filling station. Background technique [0002] Natural gas is a clean, efficient and high-quality energy source, which has been widely used in countries all over the world. However, due to the low explosion limit of the mixture of natural gas and air, it is very easy to catch fire and even explode. In recent years, fire and explosion accidents caused by gas filling stations are not uncommon at home and abroad. [0003] For the prediction of disaster consequences of compressed natural gas (CNG) filling stations, the existing technologies are: vapor cloud explosion quantitative evaluation model and API pub 581 quantitative consequence evaluation model. [0004] Its specific principle is: [0005] (1) Quantitative evaluation model of vapor cloud explosion [0006] Vapor Cloud Explosion (VCE) is a kind of explosion accident that occurs frequently and has v...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 孙振国费宏伟潘林锋王春敏王勤生周旦乐蒋朝
Owner SPECIAL EQUIP SAFETY SUPERVISION INSPECTION INST OF JIANGSU PROVINCE
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