4. Monitor
Devices
Same or different types of machines
Location
Located in a single or multiple plants
(sites)
Time and
place
Anytime (24x7)
From anywhere
Frequency
Continuous OR Need-based
5. Any machine fitted with a controller/PLC
Which Machines
Injection Moulding Machine Extrusion Machine
Blow Moulding Machine Vertical Moulding Machine
7. Business Drivers
Perform proactive
maintenance
Use skilled
manpower
more effectively
Get a ‘differentiator’
in support and
service
Monitor plant
KPIs:
OEE, MTBF, etc
Get plant
health alerts
via SMS and email
Integrate plant
data with enterprise
systems
Real time
reports Build traceability in
production
Energy Monitoring
Detect cycle time, temparature
deviations
Reduce downtime, rejections
Shift wise/machine wise
production report
Reduce manual
data entry
8. Components
Data Acquisition Module (DAM)
Installed at each site
Connects to machines, polls data and
sends to PlantConnect server
PlantConnect Server
Web server located anywhere on
internet / intranet
Receives data from all DAM
Provides functions to clients for real time
monitoring, reporting, analysis
Browser based client
PC
Tablet
9. •PlantConnect DAM installed
on each site. It collects data
from machines in real time
•The data from each site is
sent to PlantConnect server
through internet. Two
options for data collection
and upload –
-Continuous
-Need based
•PlantConnect server processes
the data…tops it up with
intelligence…and presents it to
different types of users like
Support Team, Managers, Top
Management
•Each user sees what is relevant
to him/her
Deployment
12. Visualization
Device tree
Hierarchical view of complete installation
Device status icons
Role based dashboards – System level
and Device level
Drill down to individual devices from the
dashboard
Real time data values / trends
13. Visualization
Real time data trend
Real time data values
Android application
Access device status, real time data and
alarms from anywhere using your smart
phone or tablet
14. Alarm definition
Define alarms based on parameter value
limits – low low / low / high / high high
Define condition based alarms based on
values of multiple parameters
Alarm generation
When any thresholds are crossed, alarms
are generated
Audio-visual display on browser
Alerts by SMS / email
Alarm Management
Alarm indication
Current Alarms Page
back
15. Historian
View / print historical data values
View / print historical trend
Long term data storage
Data History
Alarms archive view / print
Alarms History
Export data to CSV / SQL / Custom
format
Schedule data export
Data Export
back
16. Asset Health Management
Maintenance scheduling – condition based /
running hours based / periodic
Maintenance alerts
Maintenance logging
Asset
Maintenance
Maintenance Due Report
Maintenance Logs
Maintenance
Reports
back
Define asset health conditions
Raise alerts when the condition occurs
Send SMS / Email for each alert
17. Data Analysis & Reporting
Standard as well as customized reports
Automatic report scheduling and delivery as file,
email, hard copy
Reports
Trends
Charts (X-Y chart, pie chart, bar chart etc.)
Charts
Data entry engine – Define and generate data
entry screens, for manual data
Any report / chart can contain manual as well as
automatic data
Data Entry Engine
back
18. Integration
Get Data Interface
Integration with different data
sources
Devices / OPC HDA / SQL / Custom
sources
Downward
Integration
Put Data Interface
Integration with Enterprise
Applications
Data stored as binary files / CSV files
/ SQL / XML / Custom format
Upward
Integration
back
19. Configuration
Extensive configuration tool to configure
sites, devices, parameters, users etc
Remote configurable DAS
Configuration
User authentication – password + IP
address
Role based authorization
Device – User matrix for access rights
Secure data storage
Access Control
and Security
back
27. • Project implemented by Plexpert GmbH (www.plexpert.de)
• Client – MHR Kunststofftechnik GmbH, Company
manufacturing industrial plastic products
• Central monitoring of Krauss Mafai injection moulding
machines
• Objectives
• Productivity increase
• Improve parts quality
• Reduce rejection
• Methodology
• Central monitoring
• Data Analysis
Case Study
28. Our customers are saying…
We would absolutely recommend AIPL to other firms looking for a
good partner, and would give them the highest recommendation.
- Steve Drevik, CEO, Agilaire LLC
We are delighted to have been able to work with AIPL and strongly
believe that their flawless execution was a key factor to our project
success.
- Director, Motion Business US & Asia, A Public Company in CA, USA
Everyone at AIPL is proactive, flexible, energetic and capable to
accept and meet new challenges.
- Mahesh Washikar, CEO, FuturePath
29. Thank You!
Dr. Arvind Tilak, CEO
arvind.tilak@aiplindia.com
Mr. Anand Taparia, Manager – Business Dev.
anand.taparia@aiplindia.com
Or call us at +91 20 6500 4608
Ascent Intellimation Pvt. Ltd.
‘Dnyanamayi’, 1, Shreeniketan Society,
Kothrud, Pune 411038, India
www.plantconnect.net
www.ascentautomation.com