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Component: IOT-PEI
Component Name: Predictive Engineering Insights
Description: A virtual device that you can place anywhere on the 3D model of a structure. Virtual sensors enable you to measure the structural response at any given point on a structure even if physical sensors are not available at the point in question.
Key Concepts: A virtual sensor is a type of software component used in SAP’s IOT-PEI Predictive Engineering Insights (PEI) solution. It is used to collect data from physical sensors and then process it to provide predictive insights. It can be used to monitor the performance of machines, detect anomalies, and predict future events. How to use it: The virtual sensor can be used to collect data from physical sensors and then process it to provide predictive insights. It can be used to monitor the performance of machines, detect anomalies, and predict future events. The data collected by the virtual sensor can be used to create predictive models that can be used to make decisions about future operations. Tips & Tricks: When using the virtual sensor, it is important to ensure that the data collected is accurate and up-to-date. This will help ensure that the predictive models created are accurate and reliable. Additionally, it is important to ensure that the data collected is secure and not accessible by unauthorized users. Related Information: SAP’s IOT-PEI Predictive Engineering Insights (PEI) solution is a comprehensive suite of tools designed to help organizations make better decisions based on predictive analytics. It includes a range of components such as machine learning algorithms, predictive models, and virtual sensors. Additionally, SAP provides a range of services such as consulting, training, and support for organizations using the PEI solution.