管道保温,数据采集,在线监测,光纤测温,智能化," /> 管道保温,数据采集,在线监测,光纤测温,智能化,"/> pipeline insulation, dataacquisition, online monitoring, fiber optic temperature measurement,intelligence ,"/> <p class="MsoNormal"> <b><span><span class="msoIns">Design and Development of an Intelligent Data Acquisition System for Pipeline Insulation</span></span></b>

Petrochemical Design ›› 2025, Vol. 42 ›› Issue (2): 7-11.

• DESIGN TECHNOLOGY • Previous Articles     Next Articles

Design and Development of an Intelligent Data Acquisition System for Pipeline Insulation

Su Yaolun, Gao Jiansong, Li Jiuchong, Zhou Tianyu, Zhang Jingfan   

  1. Luoyang R&D Center of Technology, SINOPEC Engineering (Group) Co., Ltd.,Luoyang, Henan, 471003
  • Online:2025-05-25 Published:2025-05-08

Abstract:

At present, pipeline insulation data is still collected manually, with low detection efficiency and expensive detection costs. In addition, refining enterprises lack effective online monitoring measures for pipeline insulation, which makes it difficult to grasp the real-time operation status of pipeline insulation andtimely detect abnormal situations such as leaks. Relying on manual inspection has limitations. On the basis of fiber optic temperature measurement technology, an intelligent data acquisition system framework for pipeline insulationwasbuilt combined with computer technology and sensor technology,integrating on-site acquisition control, data Internet transmission and remote monitoring.The design and development of software and hardware for a lower computer monitoring system, a web-based intelligent data acquisition system for pipeline insulation and a data acquisition host was completed, and some data acquisition experimentswere conducted using a pipeline insulation testing device. The results showed that real-timedata acquisitioncan be achieved for pipeline insulation, and the temperature measurement error is within 1℃.Functions such as on-sitedata acquisitionand control, remote online monitoring of temperature and heat dissipation losses, positive balance calculation, digital pipeline diagram viewing, historical data query and abnormal alarm can beachieved.

Key words:

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