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Design and implementation on FPGA of an embedded data-logger with a scalable architecture for a large number of analog inputs

机译:具有可扩展架构的嵌入式数据记录器的FPGA设计和实现,可用于大量模拟输入

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Corrosion related issues cost billions every year in the oil and gas industry. One consequence of corrosion is the wall thickness loss in pipelines, this issue could cause leaks and stop the production which leads to an economic slowdown. In-line inspection tools measure pipe wall thickness using Magnetic Flux Leakage (MFL) technique. In order to identify critical points over the pipeline, an embedded system capable of register hundreds of hall effect sensor signals is needed. It also has to comply specific mechanical and electrical requirements to be suited for inline inspection. This work presents the architectural design and FPGA (Field-Programmable Gate Array) implementation of an embedded data logger used to acquire 160 analog signals for an MFL inspection tool currently under development. The architecture was implemented in a XilinxArtix FPGA and was designed to be scalable to allow a large number of analog inputs. The final implementation is capable of acquiring 10k samples per second. It was successfully tested to continuously acquire and storage in flash memory the data from 132 hall effect sensors at 936kB/s.
机译:与腐蚀相关的问题每年在石油和天然气行业造成数十亿美元的损失。腐蚀的后果之一是管道壁厚的损失,该问题可能导致泄漏并停止生产,从而导致经济增长放缓。在线检查工具使用磁通量泄漏(MFL)技术测量管道壁厚。为了识别管道上的关键点,需要一种能够记录数百个霍尔效应传感器信号的嵌入式系统。它还必须符合特定的机械和电气要求才能适合在线检查。这项工作介绍了嵌入式数据记录器的体系结构设计和FPGA(现场可编程门阵列)实现,该数据记录器用于为当前正在开发的MFL检查工具获取160个模拟信号。该架构在XilinxArtix FPGA中实现,并被设计为可扩展以允许大量的模拟输入。最终的实现是每秒能够获取1万个样本。它已经过成功测试,可以以936kB / s的速度连续采集和存储来自132个霍尔效应传感器的数据。

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