ZHANG Jianhao, ZHANG Xuebing, LI Pengchao, PAN Jinwang, XU Qian
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There are prominent problems to regulate natural-gas pipeline network while accelerating the digital transformation of energy industry, including insufficient data integration, single analysis dimension, and low dynamic response efficiency. Therefore, taken Guangdong Pipeline Network Regulation Center as an objective, its present situation, core demand and some existing technical bottlenecks in this regulation were discussed in an effort to solve above problems and to further promote the digital and intelligent upgrading of provincial pipeline regulation. Then, drawbacks were pointed out for traditional regulation modes, like manual analysis dependence, fragmented data, and lagged response. Finally, both necessity and urgency to establish the technological system of visual regulation were put forward on the basis of real-time data acquisition and integration of multiple technologies. Results show that (i) covering the entire business chain of Guangdong natural-gas pipelines, a platform of FINE BI visual regulation has been successfully constructed by taking the PipeChina Production and Operation Management System (PPS) as the data hub, relying on the real-time data acquisition capability of the SCADA system at the millisecond level, and integrating SQL data query direct connect database and Python data processing method through the technology of direct sourcing and end-to-end integration of both SCADA and PPS database. This platform has core modules of pipeline pressure distribution, upstream and downstream flow balance analysis, dynamic topology flow chart, and internal transfer path optimization. And it is embedded with several functions like data linked acquisition, intelligent abnormal data warning and historical trend analysis. Visually and comprehensively, the platform displays overall operation of Guangdong gas pipelines through visual component, such as word cloud, flow graph and waterfall chart; and (ii) this visual regulation can achieve real-time visualization and intelligent analysis of production and operation data, and construct a global data model containing 28 parameters such as pressure, flow rate, energy consumption, water dewpoint and gas composition, and so on. Compared with traditional manual analysis mode, it has the control decision judgment and response time about 40% shorter, and the abnormal data recognition and discovery rate up to 98% in real application. It can actively improve regulating efficiency and accuracy, and provide a complete digital transformation form of “visual data-controllable process-intelligent analysis-decision support” for provincial pipeline regulation center. In conclusion, the visual technology based on SCADA real-time data acquisition and multi-technology integration can effectively solve core problems in gas pipeline regulation such as fragmented data, single analysis and lagged response, improve the intelligence level and decision-making efficiency, and also has engineering practicality.