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What is Simcenter Embed?

Simcenter Embed is a Siemens software environment for embedded firmware development, automatic code generation, and hardware-in-the-loop prototyping. It allows engineers to create systems using block diagrams and state charts, making it easier to design, simulate, and test embedded control applications. The platform is tailored for dynamic systems that involve scaled and fixed-point operations, helping users generate efficient and compact ANSI C code. Simcenter Embed supports both continuous and discrete-time system behaviors, as well as event-based logic for more complex embedded applications. It includes deep support for popular on-chip peripherals and libraries for electric motor control, digital power design, image processing, and video processing. Engineers working on motor control can use prebuilt field-oriented control diagrams to quickly operate PMSM, ACI, or synchronous reluctance motors on an inverter. By automatically converting diagrams into MCU hardware-ready code, the software reduces manual coding, lowers the chance of errors, and speeds up the edit-debug cycle. Users can simulate both controller and plant models to tune control strategies offline before moving to physical hardware. Integrated hardware-in-the-loop testing lets the plant model run on the host computer while the control algorithm runs in real time on the target MCU. Real-time monitoring and parameter tuning help engineers verify embedded system performance more effectively. With support for a broad range of microcontrollers and processors, Simcenter Embed helps industrial and academic teams accelerate embedded development from design through validation.

What is ONEPREDICT?

In merely one week after being set up, the system is capable of detecting both electrical (stator and rotor) and mechanical (bearing and shaft) problems in motors. The cutting-edge Guardione® sensors are cleverly positioned inside the motor control cabinet instead of being attached directly to the motors, thus removing limitations associated with the motors' size or placement for installation. As a result, this configuration permits ongoing and thorough surveillance not just of a few faulty motors, but of an entire fleet that may encompass thousands of motors, guaranteeing peak performance and reliability. This advanced monitoring capability enables operators to keep a constant watch over their equipment at any time and from anywhere, which enhances operational efficiency. The flexibility of the system also facilitates rapid response to emerging issues, ultimately leading to reduced downtime and maintenance costs.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/simcenter/systems-simulation/embed/

Company Facts

Organization Name

ONEPREDICT

Company Location

United States

Company Website

onepredict.ai

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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