danger and disaster

danger and disaster的基本解释

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危难

与danger and disaster相关的网络例句 [注：此内容来源于网络，仅供参考]

The vast majority of China's coal mine gas, gas production in coal mine accident was the worst natural disaster in one of the accurate determination of coal seam gas pressure on the mine to the development of effective and reasonable gas control measures, forecasting coal and gas outburst danger , and are of great significance.

我国煤矿绝大多数是瓦斯矿井，瓦斯事故是煤矿生产中最严重的自然灾害之一，准确的测定煤层瓦斯压力对矿井有效而合理地制定瓦斯防治措施、预测预报煤与瓦斯突出的危险性，都具有重要的意义。

They are the industrialist that have love and responsibility heart very much, they are risking life danger to rebuild for disaster area in forefront of Sichuan disaster area exert oneself, when giving money, some netizens hide at the back of computer to scold them with the most evil-minded language however, and their family and parents, I think this too not should.

他们都是很有爱心和责任心的企业家，他们在四川灾区第一线冒着生命危险为灾区重建出力、出钱时，有些网友却躲在电脑后面用最恶毒的语言骂他们，以及他们的家人和父母，我想这太不应该了。

And, it establishes the computer model with the Scott·Henseleit method, which analyses and optimizes the ventilation network and auto-creates the figures of the evading disaster and succoring disaster with the computer. The paper establishes the GM(1,1) gray forecast model, and forecasts the amount of gasemission of the laneway based on the history data, and then compartmentalizes the danger grade for the laneway. Utilizing the principle and method of cybernetics, the paper brings the feed-forward and feedback. controlling method on the hidden risk in the mine, namely, the double-loop model of forecasting and early- warning. Especially in the feed-forward forecasting, the paper adopts the one unit non-linear regression analysis and forecast method, and forecasts the hidden risk amount in the mine during some time, and compartmentalizes the hidden risk grade based on the history data.

论文中，利用斯考特·亨斯雷法建立计算机模型，对矿井通风系统进行解算和优化调节，并通过计算机自动生成避灾、救灾路线图；建立灰色GM(1，1)预测模型，对巷道瓦斯涌出量进行预测，进而对巷道中的瓦斯事故危险性进行危险等级划分；利用控制论的原理和方法，提出了煤矿通防隐患前馈——反馈控制方法，即预测、预警双环模型，采用一元非线性回归分析预测方法，对煤矿某一段时间内的隐患数量进行预测，并结合历史数据，对当前煤矿隐患排查处理状况划分等级，分别予以管理和控制。