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中国区总部
Beckhoff Automation (Shanghai) Co., Ltd.

市北智汇园4号楼
静安区汶水路 299 弄 9-10 号
上海, 200072, 中国

+86 21 6631 2666
info@beckhoff.com.cn
www.beckhoff.com.cn/zh-cn/

TwinCAT 3 Engineering

TwinCAT Analytics 与 TwinCAT Vision 的完美碰撞

用 TwinCAT Vision 库扩展 TwinCAT 3 Analytics

TE3500 TwinCAT 3 Analytics Workbench 和 TE3520 TwinCAT 3 Analytics Service Tool 软件产品的标准算法可在 Visual Studio 中配置,并可通过 TwinCAT 中的其它功能库进行扩展。这意味着只需轻轻点击几下,即可方便地使用 TwinCAT 3 Condition Monitoring、TwinCAT 3 Filter、TwinCAT 3 Power Monitoring、TwinCAT 3 Machine Learning 以及 TwinCAT 3 Vision r软件库的算法。

产品信息

TwinCAT Analytics

TwinCAT Analytics

TwinCAT Analytics 产品系列是一套包含完整设备数据分析工作流程的开发套件:从数据采集、数据通信和数据历史存档到数据分析,以及基于 Web 交互的操作界面。

TE3500 | TwinCAT 3 Analytics Workbench

TE3500 | TwinCAT 3 Analytics Workbench

The TwinCAT 3 Analytics Workbench is a TwinCAT 3 engineering product for the creation of continual data analyses from various spatially distributed machine controllers. The configuration of the workbench is integrated in Microsoft Visual Studio® and serves as the graphic user interface. Many algorithms are available in a toolbox for the configuration of the analysis:

TE3520 | TwinCAT 3 Analytics Service Tool

TE3520 | TwinCAT 3 Analytics Service Tool

The TwinCAT 3 Analytics Service Tool is used for commissioning the machine and for service engineers. Live and historical data can be retrieved for an analysis via the IoT connection. The analysis is configured in Microsoft Visual Studio® where the user has access to a toolbox of algorithms for implementing the relevant life time, cycle time, envelope or component counter analysis. The outputs of the algorithms can be used as inputs for other algorithms or can be output as a result directly in the graphical editor. Signal paths can be visualized with ease by means of parallel recording with the TwinCAT Scope. Analysis results can be dragged by the user from the analytics configurator and dropped in the charting tool so as to mark the significant positions in the data stream. The interaction between the product components offers advantages in particular for diagnosing machine behavior and can highlight optimization potential. The user’s location is immaterial owing to the IoT technologies used, which means that service technicians can perform system and machine diagnostics from practically any location.