Abstract: The life cycle of pipeline engineering is divided into five stages, i.e., planning stage, early stage, design stage, implementation stage and acceptance stage. All stages are interconnected with each other, so considerable data and information are produced and the data relationship is complicated. Therefore, it is very important to set up a complete pipeline engineering data management platform. Based on this platform, the logic model of pipeline engineering database was built up by the computer technology. This model consists of seven functional modules, e.g., data acquisition, data processing, data verification, schedule collection, quality control, report analysis and system management. The data of each stage of pipeline engineering life cycle are integrated, linked and extended effectively by carrying out data acquisition, storage, calculation, statistics and analysis on the data of each stage, so that the business information and data of pipeline engineering can be kept normalized, systematic and scientific. It provides the authentic and accurate data support for pipeline operation and management.