By solving the model, the optimization sequence of inspection plan is gained and the influence of correlative parameter in the quality cost model is also analyzed.
通过对模型的求解，得到工序检验方式的最优化序列，并进一步分析模型中相关参数对决策序列的影响。
2
Centralized optimal weight fusion algorithm is raised to improve the inspection characteristic of distributed parameter; algorithm model and deduction of formula are available.
本文提出了一种改善分布式参数检测性能的集中式最优加权融合算法，建立了该算法的数学模型。
3
Use BP neural network to quantitatively recognize pipeline defect parameter, the error of recognition result is below 10%, and requirement of practical inspection can be completely fulfilled.