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What is Emonitor?

Our Bulletin 9309 Emonitor® software for condition monitoring works in conjunction with our monitoring devices and portable data collectors to support the establishment and ongoing management of a predictive maintenance program based on real-time conditions. This software boasts a comprehensive suite of tools for long-term data analysis, visual plotting, and alerting functions, which are essential for early identification of potential mechanical problems. Users can also automate the gathering of data from various 1444 series or 1440 series monitors and machinery with remarkable efficiency. In addition, it is designed to be compatible with both the Dynamix 2500 and Enpac 2500 Data Collectors, further enhancing its functionality. The software supports smooth data transfer with any OPC server, equipped with vital tools for recognizing alarming situations and specific fault frequencies. Offering fully customizable and pre-set plot views allows users to adjust their interface according to individual preferences. Moreover, compiling reports is a simple process, facilitating easier data analysis for users. Delve into the Emonitor interface to uncover the myriad capabilities this software provides, ensuring users are well-equipped with the knowledge necessary for efficient maintenance approaches. With its user-friendly design and powerful features, the Emonitor® software stands out as a vital tool for modern maintenance practices.

What is Concentio?

Analyzing data from a wide range of IoT sources, including sensors and devices, provides users with both predictive and prescriptive insights that enable them to tackle potential anomalies in real time. The Concentio® IoT Doctor efficiently processes data from various IoT endpoints, alerting users to any incoming faulty data to ensure issues are addressed before the information is used for further analysis. Furthermore, the Concentio® Production Line Fault Prediction tool utilizes AI to perform predictive evaluations of production line components by examining IoT data, videos, and images. In addition, Concentio® Optimal Asset Management evaluates incoming data from a network of utility service assets, empowering users to plan maintenance proactively and significantly lower capital expenditures by guiding strategic asset replacement decisions. This holistic approach not only boosts operational efficiency but also greatly enhances both asset longevity and overall performance, ultimately leading to a more resilient operational framework. By integrating these advanced tools, organizations can ensure they are prepared for any challenges that may arise.

Media

Media

Integrations Supported

Microsoft Excel
Rayven

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

Rockwell Automation

Date Founded

1903

Company Location

United States

Company Website

www.rockwellautomation.com/en-us/products/hardware/allen-bradley/condition-monitoring/9309-emonitor-software.html

Company Facts

Organization Name

Scry AI

Date Founded

2014

Company Location

United States

Company Website

scryai.com

Categories and Features

Condition Monitoring

Not specified

Machine Monitoring

Not specified

Categories and Features

IoT Analytics

Not specified

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