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METHODIQA-Development of a quality assurance methodology for renewable heat systems based on intelligent operational monitoring

机译:方法 - 基于智能操作监测的可再生热系统的质量保证方法的开发

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The continuous monitoring and analysis of renewable heat installations is the key for successful long-term plant operation. Since an ongoing detailed monitoring process requires high efforts regarding time and human resources, it is too costly and thus not feasible for smaller plants. The METHODIQA project aims at developing the technical and scientific methodology for a quality assurance system based on intelligent operational monitoring which is cost-effective, meets high quality standards and exhibits a high degree of automation. The core parts of the methodology comprise the data acquisition and data pre-processing, the analysis and diagnostics based on mathematical algorithms as well as an automated reporting and notification system. METHOTHIQA is not fully automated yet, since the required plant modeling and internal data structure are currently still under development. Nevertheless, the system is functional and a proof-of-concept could be achieved: a broad range of algorithms have already been implemented, and each algorithm is assigned to several graphical outputs (charts), aiming at a straightforward, intuitive interpretation of the algorithms' results. Example algorithms include the calculation of basic key figures and several complex algorithms which e.g. calculate the collector field efficiency based on intervals with stationary operating conditions. First results generated from the METHODIQA system are promising and indicate the high potential of the methodology. This paper focuses on the methodic approach chosen in the data pre-processing and on the algorithm based analyses.
机译:可再生热安装的连续监测和分析是成功长期植物操作的关键。由于持续的详细监测过程需要关于时间和人力资源的高努力,因此对于较小的植物来说,它太昂贵,因此不可行。该方法旨在制定基于智能操作监测的质量保证系统的技术和科学方法,该方法具有成本效益,满足高质量标准,展出高度自动化。方法的核心部分包括基于数学算法的数据采集和数据预处理,分析和诊断以及自动报告和通知系统。 Methothiqa尚未完全自动化,因为目前所需的工厂建模和内部数据结构目前仍在开发中。然而,系统是功能性的,并且可以实现概念验证:已经实现了广泛的算法,并且每种算法被分配给若干图形输出(图表),旨在直接,直观地解释算法' 结果。示例算法包括计算基本关键图和几种复杂算法,其为例如若干复杂算法。根据具有固定操作条件的间隔计算收集器现场效率。从方法生成的第一个结果是有前途的,并表明方法的高潜力。本文重点介绍了在数据预处理和基于算法的分析中选择的方法方法。

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