抗老化塑编袋的研发过程中需要进行人工加速老化试验。由于老化试验会导致时间及生产成本的增加，故通过GM（1，1）模型，分别使用5个及9个数据对最终试验结果进行预测，并计算和比较了2种预测结果的相对误差。结果表明，使用9个数据得到的预测结果误差在可接受范围内，可以使用该模型进行预测。利用此模型进行预测，人工加速老化的试验时间可以缩短为96 h，因而可以降低成本，缩短研发时间。

The R&D process of anti-weathering plastic woven sacks requires accelerated weathering test. Weathering tests can increase time and production cost. Gray model GM(1,1) was applied to predict the final test results using five and nine data separately. The relative error of the two perditions was calculate and compared. The results showed that the prediction error which calculates from nine data is within an acceptable range, so the model can be used for prediction. As a result, in the process of product development, the weathering test time can be shortened to 96 hours to reduce costs and development time.