数据校正在焦化碳一过程中的应用

化工生产过程中，开展测量数据的误差侦破与校正方法的研究具有十分重要的意义。针对焦化碳一过程中测量变量的稳态数据校正，采用残差检验方法进行数据协调和过失误差的识别、侦破，通过两层次变换进行数据分类，从而消除了已有算法中出现奇异矩阵的情况。校正后的变量满足物料和元素平衡要求，误差侦破的结果为仪表故障的排除等提供了参考依据；数据校正则提高了生产效率。

Application of Data Correction in Coke Methane (1-Carbon) Process

In process of chemical production, it is significant to develop error detection of measured data and research on calibration method. Aiming at stable state data correction in process of 1-carbon, by using residual detection method, the data was coordinated, the unpremeditated errors were recognized and detected ; the data sorting was implemented through two-level transformation method ; thus the unusual matrix in previous algorithms was eliminated. After correction, the variables met the demands of balance between materials and elements. According to the results of error correction, the reference is provided for fixing the faults of instruments, and the productive efficiency is enhanced by data correction.