Abstract: On demand of the enterprise information analysis and decision system for data quality，the method and procedure of data integration in process industry are discussed，especially for two categories of data：process real time data and analysis data from laboratory. As there exits time-delay，asynchronous frequency and high noise，we emphasized on the method involving steady-state detection algorithm，soft-sensor implementation process，transformation between cumulated and instantaneous value，data compression and store，etc. An example of industrial application has proved its validity and the future foreground of the proposed method is expected.

摘要： 针对企业在信息决策过程中对工业数据质量的需求，以流程工业生产过程中存在的两类数据——实时过程数据和化验室质量分析数据为研究对象，讨论了在时滞、频率不一致、噪声等情况下整合这两类数据的流程和方法，包括稳态过程监测算法、软测量实现过程、累计量和瞬时量转换以及数据压缩存储等，通过实例应用指出了该方法的有效性，并分析了该研究的应用前景。