Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The implementation of digital twin virtual zones, combined with wireless inventory trackers, allows an IoT platform to simulate scenarios for enhancing production management and inventory oversight. For instance, the production process can be segmented into various zones, enabling the comprehensive tracking of inventory movements, incoming supplies, supplier readiness, workforce safety, compliance measures, protection of key personnel, maintenance monitoring, and tool availability. This IoT platform is designed to automate, monitor, and track activities indoors, thereby assisting industries such as construction, supply chain logistics, and manufacturing in resuming their operations effectively. By emphasizing improvements in worker productivity, production efficiency, workplace safety, compliance, and overall readiness, businesses can benefit significantly from this technology. Our indoor tracking solutions, which are ready to deploy and equipped with mesh capabilities, cater to manufacturing shop floors, workflow management, warehouse inventory tracking, logistics in eCommerce, and indoor worker monitoring, ensuring streamlined operations across various sectors. This comprehensive approach not only enhances operational efficiency but also fosters a safer working environment for all employees.
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
No
API Access
Has API
No
Integrations
MSIGHTS
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Ripples IOT
Country
Singapore
Website
www.ripplesiot.com/digital-twin-iot-platform/
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/industrial-edge/
Product Features
Fixed Asset Management
Asset Budgeting
No
Asset Lifecycle Management
No
Audit Trail
No
Barcoding / RFID
Yes
Depreciation Management
No
Disposal Management
No
Document Management
No
Inventory Tracking
Yes
Tax Management
No
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No