输气管道岩土监测系统应用软件开发

I. Gulyaev, S. Stepanov, A. Vasenin, A. A. Kosorotov, O. Kryukov
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引用次数: 0

摘要

本文考虑了一种基于科学的方法,使用一套措施来确保大规模分布式生产设施的无故障运行,其中一个组成部分是自动化监控系统。提出了一种在相对较短的时间内从整个目标自动收集大量数据,并以方便决策的形式自动解释和可视化信息的方法。研究表明,管道运输功能的重要指标之一是金属的应力-应变状态水平,这取决于内部和外部因素——运输过程参数、管道金属的状态、地面运动和其他气象和技术因素。同时,监控系统与规划和执行日常维护和维修工作的自动化系统的集成,以及与自动化过程控制系统和调度控制系统的更紧密集成,是非常重要的。由于建立了这样一个天然气管道综合监测系统,数据交换速度提高了,提供了分析处理,以及在控制室操作员工作站上的快速可视化。这些程序的实施对大量传入信息进行自动解释和可视化表示,有助于在不利环境条件下的油气管道运行过程中支持操作决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
APPLICATION SOFTWARE DEVELOPMENT FOR THE GEOTECHNICAL MONITORING SYSTEM OF GAS PIPELINES
The article considers a scientifically based approach that ensures trouble-free operation of large-scale distributed production facilities using a set of measures, one of the components of which is an automated monitoring system. A procedure for automated collection of a large array of data from the entire object in a relatively short period of time with automatic interpretation and visualization of information in forms convenient for decision-making is proposed. It is shown that one of the most important indicators of the functioning of pipeline transport is the level of the stress-strain state of the metal, which depends on internal and external factors – the parameters of the transportation process, the state of the pipeline metal, ground movement and other meteorological and technological factors. At the same time, the integration of the monitoring system with automated systems for planning and carrying out routine maintenance and repair work, as well as closer integration with automated process control systems and dispatch control systems, is very significant. As a result of the creation of such a system of integrated monitoring of the gas pipeline, data exchange speeds are increased, their analytical processing is provided, as well as rapid visualization on the control room operator's workstation. The implementation of these procedures for automatic interpretation and visual representation of large volumes of incoming information contributes to the support of operational decision-making during the operation of oil and gas pipelines in adverse environmental conditions.
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