iot enabled intelligent fleet management
TRANSCRIPT
Kalman Tiboldi
Chief Business Innovation Officer
IoT ENABLED INTELLIGENT
FLEET MANAGEMENT
TVH GROUP
> 4800 colleagues worldwide Consolidated turnover € 1,2 billion
INTERNET OF THINGS
Internet of Things is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment.
Source: Gartner
CONNECTED WORLD
Source : Cisco
Hardware embedded, sensors
Cloud/Big data Enterprise Software
Network Operators
Device & OS vendors Network eq. providers
Industry “leaders” Public sector
Industry – demand side
DRIVING FORCES BEHIND IoT
IoT BUSINESS OPPORTUNITIES
New business models
The IoT will help companies create new value streams
for customers, speed, time to
market and respond more
rapidly to customer needs
Real-time information on mission-critical
systems
Enterprises can capture more data about processes
and products, more quickly and radically
improve
market agility
Diversification of revenue
streams
The IoT can help companies monetize
additional services on top of traditional
lines of businesses
Global visibility
The IoT will make it
easier for enterprises to see
inside the business, including tracking
from one end of the supply chain to
other , which will lower the cost of doing business in far-flung locales
Efficient, intelligent operations
Access to
information from autonomous
endpoints will allow organizations to make on-the-fly
decisions on pricing, logistics and sales
and support deployment
Source: IDC
5 Ways IoT Will Create New Opportunities
SMART LOGISTICS – PART OF INDUSTRY 4.0
Smart Mobility Smart Logistics
Smart Products
Smart Grids Smart Buildings
LOGISTICS 4.0 FOR LIFT TRUCK INDUSTRY
Source: KION Group AG - 2015
FLEET MANAGEMENT – THE FUTURE IS DIGITAL
Digital technology will have a major role to play
Mobile
Real-time data
Cloud Computing
Internet Of Things
Asset tracking
Linked to overall fleet management, allows the tracking of all goods and
physical items allocated to fleet operations
MAJOR COMPONENTS OF FLEET MANAGEMENT
Operational Fleet Monitoring and Management
Real-time equipment tracking, KPI management per truck, fleet and location
Equipment dispatching
Assigning equipment to customers
Technician scheduling
Location, skill requirement, shift of work based crew scheduling
Condition based, predictive maintenance
Remotely view and manage equipment servicing
Security and safety
Equipment and driver security during operation or while stopped, recovery of stolen
vehicles
MAJOR BENEFITS OF FLEET MANAGEMENT
Reduce Operational
Cost
Increase Productivity
Improve Employee
Efficiency
Extend Life of
Equipment
Improve Driver
Safety
Better Breakdown Recovery
Ensure Regulatory
Complience
Promote Responsible
Driving
Increase Customer Satisfaction
FLEET MAINTENANCE
Correctieve Maintenance
Performed to identify, isolate, and rectify a
fault so that the failed equipment, machine,
or system can be restored to an
operational condition
Preventive Maintenance
Schedule of planned maintenance actions
aimed at the prevention of
breakdowns and failures. Preserve and enhance equipment
reliability
Predictive Maintenance
Techniques that help
determine the condition of in-service equipment in order to
predict when maintenance should be performed. Minimize disruption of normal
operations, while allowing right time
repairs.
SMART LIFT TRUCKS
GPS
Engine data
Fuel
Camera Speed & Accelerometer
Temperature Mast Tilt Angle
Tyre pressure Battery
Proximity sensor
Load presence
Mast & steering
sensor
Heavy load
position
Oil condition
IoT-ENABLED SERVICE ECOSYSTEM
Your equipment tells you precisely what kind of service it
needs, where, why, and what its estimated life time will be without that service
Predictive, condition-based
Maintenance
Allocate and plan maintenance
tasks according to the anticipated,
measured or calculated condition of a component,
device or system
Remote monitoring and self optimizing
Sense Raw data is collected from hundred or thousands of sensors, locally processed or transmitted wireless to remote monitoring
Decide Analyse the data, take decisions locally or through remote analytical services. Private and public data are combined
using cloud –based services
Act Adapt and optimize the performance of the process locally or
take actions to replace the part causing problems
INTELLIGENT SPARE PARTS
Predictive Maintenance
Self diagnostics identify failing components
resulting in automated parts ordering
Spare parts supplier
OEM Manufacturer
3D printing factory
Ref. #
Service orchestrator
Embedded sensors Real time, condition based monitoring Part identification and direct ordering Classical or additive manufacturing
TVH HETEROGENEOUS FLEET
LIFT TRUCKS ACCESS EQUIPMENT SERVICE CARS
RENTAL DELIVERY TRUCKS
COMPANY CARS TRACTORS
CONNECTED TVH EQUIPMENT
Business
Intelligence
Predictive Model
Development
Product
Engineering
Gateway
Local
Analytics &
Decision
Service
Engineer
Data Streaming Data Warehouse
Edge Platform Enterprise
Pentaho Data Analytics & Event Processing
Decision Management Data Visualization Device Management
External data services
Fleet
Management
Service
Management
FLEET MONITORING & MANAGEMENT
FIELD SERVICE MANAGEMENT
KPI MANAGEMENT
MAJOR BENEFITS
Moving from Two-Step to One-Step Maintenance
Increasing the availability of equipment, optimize
the usage and reduce the operational cost
Empowering Equipment Maintenance
Combining Human Intelligence with Machine
Learning
Allowing the development of a new business model
Offering Lifting Capacity as a Service
Improve driver safety and promote responsible driving
ONE SIZE DOES NOT FIT ALL
Data Transfer Rate Mbps
BTLE Bluetooth Low Energy
LoRa Low power, Long Range
LTE Long-Term Evolution
LTE-M Long-Term Evolution Mobile
NFC Near Field Communication Choose the right wireless communication technology
LTE, WiFi - Predictive maintenance
LoRa – Asset tracking
BTLE – Local data transfer
Multi-Interface Gateway with Edge Analytics Capability
CAN-Bus data transmission
rate : 1 Mbps
SOM=Share Of Market Source: LoRa Alliance
IoT - SOURCE OF BIG DATA
The massive scale and highly dynamic nature of the IoT, the huge amounts of data streamed from the physical world, and new
communication patterns demand novel programming, content delivery, and network management.
IoT generates large quantities of data that need to be processed and analyzed in real time
Data aggregation and processing at the Edge. Relevant data is forwarded to central site for
additional processing
The Value comes from the Information that’s hardest to manage
In Maintenance Mode a
lift truck generates more
than 3 MB / min through
CAN-bus
IoT & PREDICTIVE ANALYTICS
Raw Data
Collection
Edge Data
Filtering
Real-Time
Data Analysis
Exploratory
Data Analysis
Predictive
Modelling
Integrate into
Operations
Iterate
Signal Analysis
Event Analysis
Root Cause Analysis
Sensor value distribution analysis
Linear regression …
Event Tracking & Filtering
Event Correlation
Event Aggregations …
PR
ED
ICT
IVE
EN
GIN
E
CONNECTED EQUIPMENT ECOSYSTEM
Connected Equipment Ecosystem
Geospatial Services
Location
Geo-fencing Service
Company
Service and Asset
Management
Equipment
Sensor based information
Social Media
Customer experience
Customer
User profile
Events
from the local
environment
Single, integrated view of equipment condition Real-time, personalized alerts Predictive capabilities e.g. maintenance and service issues
Extended Capability
Outcomes
Superior customer service Profitable aftermarket services & products Improved, interactive user experience Integrated equipment data available to 3rd parties Improved quality and functionality of future products
Moving from reactive to a proactive company
IoT – A NEW PARADIGM
IoT is here to stay, rapidly connecting the physical world to Internet
IoT is inevitable, affecting every industry, every company, every job, every person
For businesses, IoT requires a mindset shift because it will create and capture value differently
Products can addresses needs in a predictive manner, leveraging data and frequent updates
IoT is both driver of new products cycles and another leg of cost efficiencies
IoT will create new winners long before losers find out they've losing
