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IoT Lift: Integration, Predictive Maintenance, Cybersecurityan SME Pilot Case
Mr. Rocco [email protected]
Gruppo Millepiani S.p.a.Misinto (MB) - Italy
Beyond IOT – Artificial Intelligence for lift
Beyond IOT – Artificial Intelligence for lift
Gruppo Millepiani – Company profile
GRUPPO MILLEPIANIIs an italian SME, leader in the design and production of lift, elevator, residential lift, escalator, dumbwaiter and stair lift.
A COMPLETERANGE
Beyond IOT – Artificial Intelligence for lift
Gruppo Millepiani – Company profile
QUALITY &SUPPORT
LONG-TERMRELIABILITY
CERTIFIEDECO
EFFICIENCY
www.gruppomillepiani.com
A new technology to improve lift behaviour regarding:● Reliability (maintenance)● Comfort● Energy saving
This new technology will use:● IOT● Artificial Intelligence
Case study at International Airport Milano Malpensa
Beyond IOT – Artificial Intelligence for lift
Reliability, Comfort, Energy Saving
Scheduled maintenanceMaintenance regularly performed to lessen the likelihood of failure.
Predictive maintenanceMaintenance strategy driven by predictive analytics.
Beyond IOT – Artificial Intelligence for lift
Reliability, Comfort, Energy Saving
Type of part Estimated life Strategy
Electromechanical Short Lessen the use
Solid state electronic Very long Ok
Mechanical Medium Maintenance
Possible causes of failure
Reliability
Beyond IOT – Artificial Intelligence for lift
Reliability, Comfort, Energy Saving
Today comfort rules are defined in advance.
Possibility to work on:● Speed● Timers● Parking floorto adapt the behaviour of the lift to the preferences of the users.
The lift will predict the user preferences.
Comfort
Beyond IOT – Artificial Intelligence for lift
Reliability, Comfort, Energy Saving
Energy saving
Today energy saving rules are defined in advance.
Possibility to work on:● Speed● Time to power-down● Depth of power downto adapt the behaviour of the lift to the preferences of the users.
The lift will predict the user preferences.
Beyond IOT – Artificial Intelligence for lift
Closing the loop
Open loop controlThe control action from the controller is independent of the process output
Closed loop controlThe controller action is changed to take into account system feedback
Beyond IOT – Artificial Intelligence for lift
Closing the loop
To close the loop the controller needs:● Sensors to measure the field● Intelligent subsystems● Communication media to subsystem
To do this there are 2 ways:● Vertical integration by the lift manufacturer● Horizontal integration between lift
manufacturer and subsystem manufacturer
Beyond IOT – Artificial Intelligence for lift
IOT
● The current remote control strategy is mainly based on real-time.
● The future strategy will be based mainly on IOT.
● In IOT, the lift collects information on the status of the system itself and receives changes to its behaviour from the cloud.
● The control rule itself may vary depending on an analysis performed with artificial intelligence techniques.
REAL-TIMEREMOTE
CONTROL
IOTREMOTE
CONTROL
BIG DATA &AI
ANALYSIS
NEWCONTROL
RULE
Beyond IOT – Artificial Intelligence for lift
Cybersecurity
Risk analysis
Type of risk Hazardousness
Safety No risk
Sensitive data Low risk
Level of service High risk
Two strategies of intervention● IT network side security● Controller side security
Beyond IOT – Artificial Intelligence for lift
Cybersecurity
IT network security
● The server must be secured with authentication and encryption techniques
● The communication channel must be secured with encryption techniques to avoid man-in-the-middle attacks
Pay attention to the latest network security best practices and regulation.
Beyond IOT – Artificial Intelligence for lift
Cybersecurity
Controller side network security
● Two groups of parameters, critical and non-critical
● Isolate the subsystem network from the Internet. The main controller acts as a gateway to the Internet.
INTERNETCLOUD
MAINCONTROLLER
INVERTER
DOORS
WEIGHING LOAD
CALLS &VISUALIZATION
OTHER
TELE-ASSISTANCESYSTEM
Beyond IOT – Artificial Intelligence for lift
Case study
A data collection system has been installed to collect:
● Inverter behaviour (Fuji)● Door operator behaviour
(Fermator)● Lift generic behaviour● Accelerometer data
Milan Malpensa International Airport
Neural-fuzzy data analysis software is being developed.
Beyond IOT – Artificial Intelligence for lift
Case study
Lift running from floor 0 to floor 1
Example vertical accelerometer data
-1
-0,8
-0,6
-0,4
-0,2
0
0,2
0,4
0,6
0,8
1
m/s2
Beyond IOT – Artificial Intelligence for lift
Case study
Lift running from floor 0 to floor 3 and viceversa – Empty car
Example inverter current consumption data
Beyond IOT – Artificial Intelligence for lift
Conclusion
A new technology to improve lift behaviour has been developed regarding:● Reliability (maintenance)● Comfort● Energy saving
This new technology will use:● IOT● Artificial Intelligence
● A case study is being carried on at Milano Malpensa International Airport
● A neural-fuzzy data analysis software is being developed
Beyond IOT – Artificial Intelligence for lift
Thank you
Mr. Rocco [email protected]
Gruppo Millepiani S.p.a.Misinto (MB) - Italy
