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ease
features
design
support

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Write a Review

Description

A comprehensive solution for monitoring and predictive analysis can enhance equipment condition tracking and streamline maintenance and repair processes. This involves utilizing predictive analysis to ensure production process quality and assess potential risks of exceeding maximum permissible loads through detailed unit operation evaluations. By implementing predictive analysis of unit conditions, emergency shutdowns can be effectively minimized. Furthermore, evaluating the quality of repair work by comparing equipment performance before and after servicing is critical for continuous improvement. The integration of automatic controls for manual repair and maintenance tasks enables efficiency and accuracy in operations. Additionally, predictive analysis aids in strategic maintenance and repair decisions while facilitating informed purchases of new equipment based on intelligent load balancing of current assets. Spare parts and consumables can also be optimized through intelligent failure predictions, reinforcing a proactive approach to equipment management. Overall, this solution supports a robust framework for enhancing operational reliability and efficiency.

Description

Utilize an edge gateway device for remote monitoring of your equipment, significantly minimizing the chances of downtime or malfunction. By implementing proactive maintenance, you can keep your machinery operational and efficient. Original equipment manufacturers (OEMs) now have a streamlined approach to address equipment issues proactively rather than waiting until problems arise. The integration of Condition Based Maintenance with Edge Management and Monitoring provides essential insights into your equipment through the use of an edge gateway device. This advancement allows for the proactive surveillance of various devices, including consumer goods, healthcare apparatus, security systems, digital displays, robotics, manufacturing equipment, and more, all through a dependable and secure remote management solution. As a result, you can save both time and costs, prolong the lifespan of your assets, and enhance customer loyalty with this innovative edge monitoring approach. Moreover, Condition Based Maintenance operates as an IoT platform-as-a-service, leveraging real-time data from sensors to facilitate near-instant monitoring of your assets. This further ensures that your equipment remains in optimal condition, ultimately contributing to higher efficiency and productivity.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
Mac No 
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) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Ctrl2GO Global

Country

Russia

Website

ctrl2go.solutions/en/solutions/smart-maintenance/

Vendor Details

Company Name

Verizon

Founded

1983

Country

United States

Website

www.verizon.com/business/products/internet-of-things/connected-assets/condition-based-maintenance/

Product Features

EAM

CMMS No 
Energy Management No 
Equipment Management No 
Facility Management No 
IT Asset Management No 
Inventory Management No 
Maintenance Management No 
Parts Management No 
Preventive Maintenance Scheduling No 
Software License Management No 
Warranty Management No 
Work Order Management No 

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management 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 

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