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wanghaiju

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注册: 2010-06-25
性别: MM
专业: 应用有机化学

[求助] 自动化工业论文求翻译谢谢啦

It is evident that the combustion efficiency obtained by the space–time fusion method is increased in comparison with the mean value method.
In addition, the flue gas heat loss obtained by the space–time fusion method is also reduced in comparison with the mean value method.
The difference in combustion efficiency between the space–time fusion method and the mean value method is plotted in Fig. 16.
Fig. 16 shows that the hourly average combustion efficiency obtained using the space–time fusion method is improved by 0.0887% compared with that from the mean value method, i.e.,the average heat loss obtained using the space–time fusion method is also reduced by 0.0887%.
If the calorific value of standard coal is set to be 29 307 kJ/kg with the cost of796 per ton, the annual savings of standard coal
would be about 398 580 tons per generation unit, which is equivalent to 301 330 according to the cost saving model given in [28].
V. CONCLUSION
The cloud modeling fusion method has been adopted in the fusing calculation to obtain the data from multiple oxygen
analyzers without any prior knowledge about the oxygen content.
The oxygen space fusion and space–time models based on cloud modeling have been established to achieve more accurate measurement of the oxygen content. The method has been used to determine the combustion efficiency of the boiler and the heat loss of the flue gas.
On-plant demonstration results have shown that the hourly combustion efficiency has been improved by 0.0887% using the space–time fusion technique compared with that obtained by the mean value method, which could result in the annual savings of standard coal of ～398 580tons.
The improved measurement of the oxygen content in the flue gas has led to the increased combustion efficiency and reduced heat loss.

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reko34

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wanghaiju: 金币+36, 翻译EPI+1 2014-05-26 11:51:22

空间-时间融合法得到的燃烧效率明显高于平均值法。
此外，空间-时间融合法得到的废气热损失也小于平均值法。
空间-时间融合法和平均值法的燃烧效率差别见图16。
图16显示，空间-时间融合法得到的小时平均燃烧效率与平均值法相比改进了0.0887%，即空间-时间融合法的平均热损失减少了0.0887%。
如果标准煤的生热率设定为29 307kJ/kg，价格为每吨796，每年节省标准煤约每个生成单元398 580吨，与[28]给出的成本节省模型的301 330一致。
V.结论
云建模融合法应用于在对氧含量没有任何预先知识的前提下对多个氧分析装置取得的数据进行的融合计算。
基于云建模的氧空间融合与空间-时间模型取得更准确的氧含量测量结果。该方法被用于确定锅炉的燃烧效率和废气热损失。
工厂示范结果显示，使用空间-时间融合技术的小时燃烧效率与平均值法相比改进了0.0887%，实现年节省标准煤～398 580吨。
改进的废气氧含量测量提升了燃烧效率，减少了热损失。

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