2022 USE CASE
LoRaWAN
®
AI-based Intelligent
Predictive Maintenance IoT Solution
for Rotating Machinery
SITUATION
Many industrial facilities still rely on manual onsite
inspections performed on a fixed schedule, that
result in reactive maintenance when a problem
occurs, or an asset is broken. Maintenance
companies experienced challenges during the COVID
pandemic, being unable to travel to customer
facilities and perform asset health analysis. Service
Providers were also prevented to realize their
services and offers. The lack of critical asset
performance health checks during that time resulted
in high downtime costs and exponential slowdown.
To implement efficient maintenance processes, a key
challenge is to avoid lengthy processes of data
connection, pre-processing, model development and
inference engine development.
SOLUTION
Advantech and Actility partnered to offer an
integrated Artificial Intelligence (AI) solution
that allows Operations teams to perform
machine prognostics and health management.
Based on Advantech WISE-2410 vibration
sensor, a high-performance WISE-6610
LoRaWAN® gateway, Actility ThingPark
Enterprise IoT network management platform
and Advantech iMachine/PHM application, the
solution allows operators to monitor the status
of multiple machines in a single dashboard,
using real-time and next seven days' machine
health index, including ISO 10816 and
degradation levels.
Smart
Industry
Global Device Maker
CONTACT INFO:
Advantech: www.advantech.com
Actility: https://www.actility.com/
https://www.actility.com/contact/
BENEFITS
The Predictive Maintenance Solution for
Rotating Machinery allows operators to analyze
data from LoRaWAN® vibration sensors and
measure machine and equipment vibration
frequencies to detect anomalous behaviour.
This helps customers decrease the number of
machine shutdowns and work accidents while
increasing performance and safety.
Users get a very precise machine status
prediction, and prediction model retraining
that refine the model while repositioning
sensors or refining the model performance.
The AI solution acts proactively based on the
future state of the machine, instead of relying
on routine inspections, thus preventing faults in
advance. The fine-tuned pre-trained model
allows users to gain inference results within
two weeks of sensor installation.
The LoRaWAN® AI-based Predictive
Maintenance Solution ensures longer lifespan of
equipment, lower spare parts inventory, and
more cost-effective than run-to-failure or
planned maintenance.
It is available on Actility IoT marketplace
ThingPark Market under 'Trial Kit form'.
