Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.
Description
APM serves as a catalyst for the shift towards reliability-centered maintenance and risk-based inspections, utilizing advanced tools. This technical analysis emphasizes the application of asset performance management technologies within Industry 4.0, specifically tailored for the Power Generation sector. As we transition from a digitalization framework to full digital transformation, the Digital Twin emerges as a crucial component that provides predictive insights and streamlines daily operations, resulting in improved business performance. By examining the underlying technology, we can visualize and contextualize data precisely when and where it is necessary, enabling effective decision-making in operational, maintenance, and engineering domains. Furthermore, Digital Twins are essential in reconciling capital expenditures with operational expenses, ultimately reducing the overall cost of ownership while maximizing asset returns. This holistic approach not only enhances efficiency but also fosters a more sustainable and innovative operational environment.
API Access
Has API
Yes
API Access
Has API
No
Integrations
APERIO DataWise
Yes
Aatmunn
No
Cortona3D RapidCatalog
No
EasyID
No
Fuuz
No
Hyper Historian
No
Key Ward
No
MapsPeople
No
NSFOCUS RSAS
No
OPUS
No
Integrations
APERIO DataWise
No
Aatmunn
Yes
Cortona3D RapidCatalog
Yes
EasyID
Yes
Fuuz
Yes
Hyper Historian
Yes
Key Ward
Yes
MapsPeople
Yes
NSFOCUS RSAS
Yes
OPUS
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
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
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
GE Digital
Founded
2015
Country
United States
Website
www.ge.com/digital/applications/digital-twin
Vendor Details
Company Name
Siemens Energy
Founded
2020
Website
www.siemens-energy.com/global/en/offerings/services/digital-services/asset-performance-management.html
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No