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ease
features
design
support

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Description

Jumpstart your execution of typical Internet of Things (IoT) applications such as remote monitoring, industrial IoT (IIoT), predictive maintenance, and device simulation. Access all necessary cloud-based services and the corresponding application code to ensure a successful, efficient, and streamlined development and deployment process. Retain complete control over your solution’s architecture while customizing existing services to fit your specific requirements. Utilize a preconfigured dashboard for data visualization and establish rules to initiate actions via the user interface. Create and evaluate your IoT solutions on simulated devices by leveraging the device simulation solution accelerator. Perform realistic assessments by employing intricate device models that replicate authentic scenarios. Make use of the device simulation web application to set up and execute your simulations. Furthermore, connect and oversee your industrial assets using industry standards like OPC-UA through the Azure IoT connected factory solution accelerator, ensuring enhanced operational efficiency and insights. With these tools at your disposal, you can seamlessly integrate and optimize your IoT initiatives for better outcomes.

Description

Siemens Industrial Edge is a multi-purpose edge computing platform that helps manufacturers process industrial data closer to where production happens. It is designed to optimize factory operations by combining Siemens and partner technologies across hardware, software, apps, connectivity, and central device management. The platform makes it easier to connect shop floor assets, standardize data, and turn operational information into real-time insights. Industrial Edge supports scalable app and device management, allowing companies to roll out software across distributed factory environments with IT-like simplicity. It connects OT systems with cloud platforms, IIoT SaaS solutions, ERP, MES, SCADA, and MQTT environments to support stronger IT and OT convergence. Manufacturers can use it for OEE monitoring, production analytics, intelligent maintenance, predictive insights, and resource planning. The platform also supports software-defined automation through virtual PLC and HMI capabilities, helping companies move toward more flexible manufacturing systems. AI models can be deployed on the shop floor for defect detection, monitoring, process optimization, and throughput improvement. With secure infrastructure, ecosystem offerings, and centralized management, Siemens Industrial Edge helps industrial organizations reduce complexity while making faster and smarter operational decisions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

MSIGHTS

Integrations

MSIGHTS

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/features/iot-accelerators/

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/industrial-edge/

Product Features

Product 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

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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