A potential cure he mentions is third-party analytical assistance, such as that provided byScientificConservation(www.scientificconservation.com），加利福尼亚州伯克利。“他们要做的是从客户那里获取数据并将这些数据归一化，并将其放入结构化数据库中，” Brodie说。例如，借助供暖，通风和空调系统，伯克利公司可以从冷却器中收集数据，布罗迪说，这有“大量与之相关的数据”。然后，当“它们可以为不同条件下运行模型”时，这些数据将被放入虚拟设备中。
Recent advances in computers with multi-core processors allow high-performance throughput, adds Vineet Aggarwal, product manager with vendorNational Instruments Corp（（www.ni.com） 数据采集 （DAQ) group, Austin, Texas. Multi-threaded hardware drivers and parallel-programming-development environments make it possible to analyze large amounts of data immediately, in real time, with signal-processing algorithms, he notes. Or those data may be streamed to a disk for offline analysis, Aggarwal adds.
布罗迪建议，这种更广泛的高速数据收集和采矿超出了传统的DAQ。他说，现在可以写入算法来模仿最终用户的过程，并通过常规数据输入，“例如，他们可以找到诸如卡住的传感器之类的东西”。
在这个超越传统的DAQ中，数据库将扮演更大的角色，Brodie预测。“因此，DAQ可以做的任何事情都可以更有效，以降低建模数据的成本，这将是未来。”他解释说，变得更加有效地转化为从平面文件转移到的，“从本质上讲，该模型将在DAQ上，您将只是导入数据。”
无线DAQ
Besides DAQ’s advance into data collection and mining, Brodie sees much more interest in wireless; specifically,wireless remote input/output（I/O）。“现在可以将DAQ放在设备上并在设施周围移动。”他指出，这意味着没有电线，也意味着将设备转移到新区域而不会丢失数据的灵活性。
但是由于无线电带的频率，问题浮出水面。布罗迪说：“随着频率的提高，您会失去[信号]渗透，但您可以改善收集。”不过，比乐队本身更重要的是，需要将技术“找到您的路”到接收器或家庭基础。
需要了网和网格网络系统，Brodie评论。“在过去的一两年中，网格已经成为自己的。”他解释说，网格使最终用户能够克服“大问题”，这使DAQ系统放慢了。
Finding home, however, means end-users need to know how many radios they have, in what group and in what area, Brodie explains. “You’ve got to leave a certain amount of radios within a certain radius in a sector to have a mesh.” That may mean end-users will have to install permanent towers. But the payoff is worth it. “You’ll start also to track your density in a sector using a signal alarm, similar to a high/low alarm.”
Wireless is a very specific solution, though, that may not suit everybody, notes Steve Byrom, a product manager with Yokogawa. “It’s inherently costlier than a traditional wired system.” So why choose wireless I/O? “Because end-users need data they cannot get any other way.” And when they get it, they can listen to what those data say, before potential problems become serious.
C. Kenna Amos, ckamosjr@earthlink.net, is an自动化世界贡献编辑。
美国横川公司
www.us.yokogawa.com
ScientificConservation
www.scientificconservation.com
National Instruments Corp
www.ni.com
Recent advances in computers with multi-core processors allow high-performance throughput, adds Vineet Aggarwal, product manager with vendorNational Instruments Corp（（www.ni.com） 数据采集 （DAQ) group, Austin, Texas. Multi-threaded hardware drivers and parallel-programming-development environments make it possible to analyze large amounts of data immediately, in real time, with signal-processing algorithms, he notes. Or those data may be streamed to a disk for offline analysis, Aggarwal adds.
布罗迪建议，这种更广泛的高速数据收集和采矿超出了传统的DAQ。他说，现在可以写入算法来模仿最终用户的过程，并通过常规数据输入，“例如，他们可以找到诸如卡住的传感器之类的东西”。
在这个超越传统的DAQ中，数据库将扮演更大的角色，Brodie预测。“因此，DAQ可以做的任何事情都可以更有效，以降低建模数据的成本，这将是未来。”他解释说，变得更加有效地转化为从平面文件转移到的，“从本质上讲，该模型将在DAQ上，您将只是导入数据。”
无线DAQ
Besides DAQ’s advance into data collection and mining, Brodie sees much more interest in wireless; specifically,wireless remote input/output（I/O）。“现在可以将DAQ放在设备上并在设施周围移动。”他指出，这意味着没有电线，也意味着将设备转移到新区域而不会丢失数据的灵活性。
但是由于无线电带的频率，问题浮出水面。布罗迪说：“随着频率的提高，您会失去[信号]渗透，但您可以改善收集。”不过，比乐队本身更重要的是，需要将技术“找到您的路”到接收器或家庭基础。
需要了网和网格网络系统，Brodie评论。“在过去的一两年中，网格已经成为自己的。”他解释说，网格使最终用户能够克服“大问题”，这使DAQ系统放慢了。
Finding home, however, means end-users need to know how many radios they have, in what group and in what area, Brodie explains. “You’ve got to leave a certain amount of radios within a certain radius in a sector to have a mesh.” That may mean end-users will have to install permanent towers. But the payoff is worth it. “You’ll start also to track your density in a sector using a signal alarm, similar to a high/low alarm.”
Wireless is a very specific solution, though, that may not suit everybody, notes Steve Byrom, a product manager with Yokogawa. “It’s inherently costlier than a traditional wired system.” So why choose wireless I/O? “Because end-users need data they cannot get any other way.” And when they get it, they can listen to what those data say, before potential problems become serious.
C. Kenna Amos, ckamosjr@earthlink.net, is an自动化世界贡献编辑。
美国横川公司
www.us.yokogawa.com
ScientificConservation
www.scientificconservation.com
National Instruments Corp
www.ni.com
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