1. EdgeScout Customer Solutions Guide

2. Secure internet tunnel or cellular
EdgeScout Architecture with Banner DXM
Web and Mobile Users
Equipment Site
Data Center
Secure internet tunnel or cellular
EdgeScout
Hosted Server
Wired
Sensors
Wireless
Sensors

3. EdgeScout Architecture with Ewon Flexy
Web and Mobile Users
Equipment Site
Data Center
Secure internet tunnel or cellular
EdgeScout
Hosted Server
PLCs, Drives, IO drops, HMI Panels, etc

4. Secure internet tunnel or cellular
EdgeScout Architecture with Secomea SiteManager
Web and Mobile Users
Equipment Site
Data Center
Secure internet tunnel or cellular
EdgeScout
Hosted Server
PLC, Drive,
HMI Panel, etc.

5. EdgeScout Architecture with Moxa UC-8100 Series
Web and Mobile Users
Equipment Site
Data Center
Secure internet tunnel or cellular
EdgeScout
Hosted Server
PLCs, Drives, IO drops, HMI Panels, etc

6. Device Assets and Equipment Assets
Asset Common Features
Current Status for Each Device
Historical Trend
and Text Alerts
Options for custom graphics, calculations, tables, etc.
Device Asset
Entry Level IIoT Solutions
Up to 10 Variables
6000 logged values per day
Device Asset Examples
Machine Monitor
Pump Monitor
Tank Level Monitor
Temp/Humidity Monitor
Alarm Status Monitor
Air Filter Monitor
Equipment Asset
Complex Machine
Production Line
Process System
Camera
Advanced Analytics
ERP Connectivity Options

7. Proof of Concept Assets
POC Asset Benefits
Fast deployment
Little or no up configuration fees
Free 60 day trial subscription
How it Works
Use an Edge Node Template
Assign variables to address table
Connect Edge Node to internet
Login to myedgescout.com
Configure variables
32 Discrete, 32 DINT, 32 Float
Configure /text notifications
POC Asset Features
Text based Status Display
Historical Trend
and Text Alerts
POC Configuration Tab
After 60 days
Purchase a Device or Equipment asset subscription
Add additional features such as custom graphics and reports for a one time NRE charge

8. Reporting and Analytics
Preventative Maintenance Dashboard
Downtime Analytics
Overall Equipment Effectiveness
Predictive Maintenance
Machine Learning
Prescriptive Maintenance

9. Preventative Maintenance Dashboard
A Lesson from the automotive consumer market
Today’s vehicles have oil life monitors that use sensors and intelligence to tell you when to change the oil. This usually occurs between 5,000 and 8,000 miles. Prior to this we were told to change oil every 3,000 miles.
Some people would forget to do change the oil, resulting in costly repairs and a shortened lifespan of their vehicle. Others changed oil religiously every 3000 miles, ultimately spending more than double what they should have.
Reduce maintenance costs by performing maintenance when needed instead of when scheduled
Avoid costly breakdowns due to neglected maintenance tasks
Extend equipment life and improve performance

10. Downtime Analytics Base decisions on data, not anecdotes
Every machine operators can tell you what is causing downtime, but they don’t always say the same thing.
Downtime analytics can give you an accurate and objective picture of how often each type of failure occurs and what it is ultimately costs in terms of productivity. From there it is easy to accurately calculate the ROI from each potential improvement
Downtime Analytics may include
Total number of each failure over a time period
Totalize downtime for each failure
Pareto chart of highest priority failures
Playback of status screen leading up to a failure

11. Overall Equipment Effectiveness
Affordable, Accessible, and Manageable OEE
For many years OEE has been the gold standard for process improvement, but traditional approaches are expensive and time consuming to implement and maintain. Hosted OEE can be collecting data from in plant production lines or remote equipment within weeks for a fraction of the cost of in plant systems.
Hosted OEE benefits vs traditional approaches
Low cost
Fast startup
No servers or licenses to purchase and maintain
Up front pricing allows measurable ROI

12. Predictive Maintenance
Scalable Solutions for Predictive Maintenance
Predictive maintenance techniques provide you with advance notification of pending failures, so that you can address the issue without interrupting production.
Predictive Maintenance Benefits
Minimize downtime
Reduce scrap and rework
Cut maintenance costs
Avoid expedite fees
Types of Predictive Maintenance
Condition Monitoring
Has this value changed over time?
Actual Predictions
Will component x fail in the next y days?
Multi-variable time series analysis
Flag data anomalies and associate with specific failures

13. Machine Learning Making Your Machines Smarter
Machine Learning is a branch of artificial intelligence based on the idea that machines should be able to learn and adapt through experience. The self-driving car is the most widely known example, but it has many tangible benefits for industrial automation equipment.
Turnkey Analytic Solutions
RRAMAC will work with you to select a machine learning vendor that fits your needs and fully integrate machine learning with the rest of your IIoT solution. Options include:
Amazon Machine Learning
IBM Watson
Cortana Intelligence Suite (Microsoft Azure)
Machine Learning Potential Benefits
Continuous improvement on Predictive Maintenance
Optimize setup parameters based on quality feedback
Adjust process settings based on ambient temperature, pressure, and humidity

14. EdgeScout Hosted Server
Prescriptive Analytics
From Alerts to Actions
and text alerts can notify workers when there is a problem, but responses to these messages are not always the best response and are not always timely. Prescriptive Analytics is the idea that the software can recommend a solution to the current problem and even take steps to implement the solution. The solutions can be preprogrammed or can be based on machine learning.
EdgeScout Hosted Server
MMS
ERP
Predictive Analytics Examples
Automatic reordering of consumable products
Scheduling maintance tasks based on a failure or Predictive Maintenance alert
Improving the accuracy of Predictive Maintenance alerts
Optimizing setup parameters based on quality feedback
Adjusting process settings based on ambient temperature and humidity

15. EdgeScout Solution Roadmap
Asset Monitoring
Asset Intelligence
Alarm
Monitor
Alarm
History
Maintenance
Dashboard
Predictve
Maintenence
Downtime
Summary
Production Line Status
Overall Equip Effectiveness
Machine Learning
Production Totals
Temp/Hum
Monitor
Reorder
Consumables
Prescriptive Maintenance
Condition Monitoring
Tank Level Monitor
Product Geneology
Root Cause Analysis
Pump Station
Monitor