1.西南林业大学材料科学与工程学院，云南昆明 650224
2.西南林业大学数理学院，云南昆明 650224
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陈松阳,王宪,王辉等.木材树种批量检验抽样方案的研究[J].木材科学与技术,2023,37(03):51-57.
CHEN Songyang,WANG Xian,WANG Hui,et al.Study on Sampling Scheme of Large Batch Wood for Inspection[J].Chinese Journal of Wood Science and Technology,2023,37(03):51-57.
批量木材检验既要保证合理的精度，又要考虑检验人员的工作强度，因此研究批量木材检验的抽样方案具有重要意义。为制定按批量百分比分配的随机抽样方案，根据木材分类方法，整合历史抽样数据，使用MATLAB拟合并建立回归方程。在随机抽样方案的基础上研究复杂抽样的设计效应（design effect，deff），并增加了放宽和加严的规则。采用分层抽样模式，根据不同分类方法设定检验批次，制定了单一树种类或多树种类分组的随机抽样、多树种类未分组的随机抽样和现场无法判断样本信息的随机抽样三种方案。所有研究方案与现行抽样方案的对比和实际验证，在参数区间和执行方面均具有可行性，加快了批量木材抽样中样本量的计算。本研究对于木材现场检验具有更好的适用性，可以提高木材检验工作的效率。
Wood inspection of large batch considers the inspectors' workload in addition to ensuring reasonable accuracy. Therefore, it is crucial to research the wood sampling plan for large batches. The historical sample data were combined, in order to create a random sampling scheme allotted by the batch percentage using the wood categorization method. Then MATLAB was used to fit and establish a regression equation. Based on the random sampling method, the design effect (design effect, deff) of complicated sampling was explored. The relaxed and strict constraints were implemented. Three different sampling schemes were developed using the stratified sampling mode, including single tree species or multiple tree species grouped random sampling, ungrouped random sampling of multiple tree species, and random sampling of sample information which cannot be judged on site. Inspection batches were set according to various classification methods. The effectiveness of each research plan was tested in practice and compared to the current sampling plan. Three exploratory sampling schemes all speed up the calculation of sample size in batch wood sampling and are viable in terms of parameter interval and execution. This study is applicable to wood on-site inspection, which increase wood inspection's efficacy.
木材检验批量抽样方案样本量
wood inspectionlotsampling schemesample size
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