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该方法很容易推广到电站锅炉炉膛三维温度场重建及其它领域的应用中。
This method can be easily extended into reconstruction of 3 D temperature distributions of utility boiler furnaces and applications in other related fields.
计算结果表明，引入了属性矩阵和变超松弛系数的迭代算法能够更好地重建三维温度场。
The calculating results indicate that the 3-d temperature field can be reconstructed more accurately by the algorithm with property matrix and unfixed ultra-relaxation coefficient.
为此，在算法中引入了包含先念知识的属性矩阵，采用了变超松弛系数重建三维温度场。
So the property matrix including the prior knowledge is introduced, an unfixed ultra-relaxation coefficient is adopted in the algorithm to reconstruct the 3-d temperature field.
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