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Considerations for Achieving Successful Flow Measurement

机译:实现成功流量测量的考虑因素

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Many difficulties arise in the process industries when attempting to measure flow. There are many variables that can become 'gotchas' and may spoil your day - or month - or quarter - or beyond. To name a few of the variances, there's viscosity, pressure drop, and density, noise, and more. These are just a few of the many considerations that are present and need to be considered for successful flow measurement. Is flow measurement an exact science? No, not exactly. Is flow measurement an art? No, but let's not rule out being creative. Successful flow measurement involves making informed decisions and not all of these are textbook and not all are quantifiable. Experience helps by enabling one to rule out certain technologies for applications and by focusing on technologies that work reliably and predictably most of the time. Here are a handful of ideals to help determine success in flow measurement: Works right the first time; Minimize problems down the road; Lower cost of ownership; Minimize obsolescence due to process changes. Expanding on those concepts, there is universal agreement that for every application, one should aim to maximize investment. When measuring flow, one must look beyond the simple concept of "Will-it-Work?" From a purist's perspective, "Will-it-Work?" is the minimum requirement and the concept is so basic that if that is the lone criteria for selection, it implies laziness and some borders on relying on luck when specifying an instrument and providing a successful solution. To achieve success, "Smart Selection" is an essential element.
机译:在试图测量流量时,在工艺行业中出现了许多困难。有许多变量可以成为'Gotchas',可能会破坏你的一天 - 或月份 - 或季度 - 或超越。为了命名少数差异,存在粘度,压降和密度,噪音等。这些只是存在的许多考虑因素中的一些,并且需要考虑成功的流量测量。流量测量是精确的科学吗?不,不是完全的。流量测量是艺术吗?不,但我们不排除创造性。成功的流量测量涉及做出明智的决策,并非所有这些都是教科书,并非所有这些都是可量化的。通过使人们能够排除应用程序的某些技术以及专注于在大部分时间可靠和可预测可预测的技术来帮助解决某些技术的帮助。以下是有助于确定流量测量成功的少数理想:第一次工作;最大限度地减少道路上的问题;较低的所有权成本;最小化由于过程变化而导致的过时。扩展这些概念,对于每个申请,有普遍的协议,旨在最大限度地提高投资。测量流量时,必须超出“Will-It-Work?”的简单概念。从纯粹的师的角度来看,“威尔 - 工作?”是最低要求,这个概念是如此基础,如果这是选择的孤独标准,它意味着在指定仪器并提供成功的解决方案时依赖运气的懒惰和一些边界。为了取得成功,“智能选择”是一个基本要素。

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