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Description
AVEVA Engineering facilitates collaboration among multi-disciplinary engineering teams, allowing them to efficiently create and manage detailed specifications for essential components in both plant and marine projects. This software is not only highly adaptable and customizable but also serves as an authoring tool primarily for process and mechanical engineering, while being equally effective for specialized areas such as pipe stress and safety. Each discipline maintains comprehensive control over its own data, while still having the ability to access and refer to information from other fields. When integrated with AVEVA Unified Engineering, the entire project information model is made available for AVEVA’s suite of technologies including process simulation, design, engineering, collaboration, and lifecycle management, all of which can be securely accessed through a unified cloud-based platform known as AVEVA™ Connect. As a result, a transformative phase in AVEVA’s 1D and 2D engineering and design software is emerging, enhancing the efficiency and effectiveness of engineering workflows. This evolution marks a significant step forward in how engineering projects are conceived and executed in the digital age.
Description
Enhancing reliability, performance, and safety stands as a primary focus for industrial enterprises and businesses in the current landscape. Organizations are channeling their resources and efforts into managing expenses effectively while striving to maximize value from their existing assets. AVEVA Predictive Analytics empowers these organizations to achieve optimal returns on essential assets by facilitating predictive maintenance (PdM) initiatives. The AVEVA Predictive Analytics solution offers advanced early warning notifications and diagnostics for equipment problems, potentially identifying issues days, weeks, or even months before they lead to failures. This proactive approach allows asset-heavy organizations to minimize equipment downtime, boost reliability, and enhance performance, all while decreasing operational and maintenance costs. Furthermore, AVEVA Predictive Analytics seamlessly integrates with various control and monitoring systems and supports deployment either on-premises or in a cloud environment. Its highly scalable architecture enables the monitoring of anything from a single asset to entire plants or even hundreds of remote assets spread across multiple locations, ensuring comprehensive oversight and management capabilities. Ultimately, this solution aids organizations in navigating the complexities of asset management in an increasingly competitive market.
API Access
Has API
API Access
Has API
Integrations
AVEVA Electrical and Instrumentation
AVEVA Unified Engineering
Integrations
AVEVA Electrical and Instrumentation
AVEVA Unified Engineering
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
AVEVA
Country
United Kingdom
Website
www.aveva.com/en/products/aveva-engineering/
Vendor Details
Company Name
Aveva
Founded
1967
Country
United Kingdom
Website
www.aveva.com/en/products/predictive-analytics/
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
