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Intelligent System for Fuels Quality Control and Monitoring Using PASSI Methodology

机译:燃料质量控制和使用Passi方法进行智能系统

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The National Fuel, Natural Gas and Bio-fuels, Agency, (NFA) established the Fuels Quality Monitoring and Control Program (FQMCP) aiming at guaranteeing the fuels' quality standards along the extraction, refining, distribution and monitoring phases. The FQMCP supervising process -which includes various phases, from production to merchandizing of fuels and derivative good - is formed by the following phases: fuels collecting, data treatment and fuel samples analysis. Our research proposes the development of a system for Monitoring and Control of fuels' quality using the PASSI methodology and AI techniques, as well as the JADE platform and JESS language together with Data-Warehouse as to create a data repository aimed at facilitating and supporting the management and the decision taking, at the Fuels Analytical Chemistry Research and Analysis Laboratory of the Federal University of Maranhao (LAPQAP/UFMA). This article is an updating of a series of research works on the same subject, with some of them previously published.
机译:国家燃料,天然气和生物燃料,机构(NFA)建立了燃料质量监测和控制计划(FQMCP),旨在沿着提取,精炼,分布和监测阶段保证燃料质量标准。 FQMCP监督过程 - 包括各种阶段,从生产到燃料和衍生物良好的产品,由以下阶段形成:燃料收集,数据处理和燃料样本分析。我们的研究提出了使用Passi方法和AI技术的燃料质量监控和控制燃料质量的制定,以及玉器平台和杰斯语言以及数据仓库,以创建旨在促进和支持的数据储存库管理与决策,在燃料分析化学研究分析研究和分析实验室的联邦Maranhao大学(LAPQAP / UFMA)。本文是在同一主题上进行一系列研究的更新,其中一些先前发布。

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