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Description
Implement this industrial IoT solution within your manufacturing facility, healthcare institution, or any comparable environment. Stay informed about asset tracking and maintenance oversight. Mitigate unexpected production interruptions through machine condition surveillance. Analyze both real-time and past data to evaluate the wear and tear of equipment, allowing for proactive maintenance interventions. Identify the location of medical devices and monitor the movement of personnel and patients. As a real-time location system, SeeMyMachines enhances the tracking of portable resources, thereby boosting operational efficiency in extensive healthcare facilities. Additionally, you can remotely oversee turbines and solar arrays across various energy sites. Transition to paperless inspections and utilize remote asset monitoring to enhance maintenance practices and elevate the efficiency of power plants. In bustling airports, track anything and anyone through a connected network of tools, equipment, and personnel. With a unified platform, you can manage asset tracking, temperature monitoring, staff location, and much more. This integrated approach ensures streamlined operations across diverse settings.
Description
WindESCo delivers innovative solutions aimed at improving the efficiency and dependability of wind turbines through two core products: Pulse and Swarm. Pulse harnesses artificial intelligence and machine learning to provide in-depth performance analytics and monitor the health of assets over twelve turbine subsystems. By consolidating various data streams—such as SCADA, events, maintenance history, vibration analysis, and meteorological information—into a cohesive data fabric, it empowers users to pinpoint actionable insights that influence turbine efficiency. Additionally, Pulse includes case management capabilities that facilitate operational and maintenance workflows, track the progress of resolutions, and keep all essential information centralized. On the other hand, Swarm employs a collective autonomous control system, allowing turbines to communicate and learn from one another, which significantly enhances the output of wind farms. Together, these technologies represent a significant advancement in the management and optimization of wind energy resources.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
QBurst
Founded
2004
Country
India
Website
seemymachines.com
Vendor Details
Company Name
WindESCo
Founded
2014
Country
United States
Website
www.windesco.com
Product Features
Asset Tracking
Activity Tracking
Audit Trails
Barcoding / RFID
Checkout / Check-In
Depreciation Tracking
Disposal Tracking
Inventory Management
Location Tracking
QR Codes
Reservations
Service History
Equipment Maintenance
Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management
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