针对多组分混合物提取过程中的非线性和参数难测定等特点,为了获得更加理想的多组分混合物测定结果,提出一种人工智能算法和光度法相融合的多组分混合特测试与分析模型法。首先采用光度法对多组分混合物的参数进行测试,然后采用极限学习机对多组分混合物参数进行建模,最后采用具体实验对其性能进行检验。实验结果表明,本文模型较好地解决了当前多组分混合物测定分析模型存在的不足,可以对多组分混合物进行在线检测和分析,而且测试结果要优于其它方法,具有十分广泛的应用前景。 In order to obtain more ideal multi-component mixture determination results, a multi-component mixed special test and analysis model based on the combination of artificial intelligence algorithm and photometric method is proposed for the nonlinearity of multi-component mixture extraction and difficult parameter determination. law. Firstly, the parameters of multi-component mixture were tested by photometric method, and then the parameters of multi-component mixture were modeled by using extreme learning machine. Finally, the performance of multi-component mixture was tested by the specific experiment. The experimental results show that the proposed model solves the shortcomings of current multi-component mixture determination and analysis model, and can detect and analyze multi-component mixture on-line, and the test results are superior to other methods, which has a very wide application prospect .