Big Data
Internet of Things
Xia, Yang, Wang & Vinel (2012): “Networked interconnection of everyday things that are
equipped with ubiquitous intelligence”
Domestic sensors, controllers and devices
o Heating controllers and thermostats
o Fridges, toasters, kettles, coffee machines
o Computers, mobile devices, TVs
Utilities
o Power stations
o Water, electricity and gas grids
o Traffic lights
Industrial equipment
o Robots, automated equipment, autonomous guided vehicles
Rehman et al (2019): Investigate the recent BDA technologies, algorithms and
techniques that can lead to the development of intelligent IIoT systems
o Taxonomy by classifying and categorising the literature on the basis of important
parameters (e.g. data sources, analytics tools, analytics techniques,
requirements, industrial analytics applications and analytics types).
, Rehman et al (2019): Big Data applications for Industry 4.0- the vision of Industry 4.0 to
connect manufacturing systems with distributors and consumers can only be achieved
by adopting IoT and BDA processes as core components for value creation.
Big data production in industrial Internet of Things (IIoT) is evident due to the massive
deployment of sensors and Internet of Things (IoT) devices.
o Rolls Royce: endeavouring to built the smartest jet engines with the use of IoT:
installing an increasing number of data-gathering IoT sensors into our products-
this information helps make predictions about maintenance and service needs of
a particular engine based on the performance of many other engines of the same
model. All about connecting everything through IOT.
o Sachin Gupta, Chief of IOT capability “Every part of the [aircraft] – from the doors
to the lights and everything else – is going to get connected.”
o Data Analysing tool- AI and Smart Discovery- take advantage of the data.
Internet of Things
Xia, Yang, Wang & Vinel (2012): “Networked interconnection of everyday things that are
equipped with ubiquitous intelligence”
Domestic sensors, controllers and devices
o Heating controllers and thermostats
o Fridges, toasters, kettles, coffee machines
o Computers, mobile devices, TVs
Utilities
o Power stations
o Water, electricity and gas grids
o Traffic lights
Industrial equipment
o Robots, automated equipment, autonomous guided vehicles
Rehman et al (2019): Investigate the recent BDA technologies, algorithms and
techniques that can lead to the development of intelligent IIoT systems
o Taxonomy by classifying and categorising the literature on the basis of important
parameters (e.g. data sources, analytics tools, analytics techniques,
requirements, industrial analytics applications and analytics types).
, Rehman et al (2019): Big Data applications for Industry 4.0- the vision of Industry 4.0 to
connect manufacturing systems with distributors and consumers can only be achieved
by adopting IoT and BDA processes as core components for value creation.
Big data production in industrial Internet of Things (IIoT) is evident due to the massive
deployment of sensors and Internet of Things (IoT) devices.
o Rolls Royce: endeavouring to built the smartest jet engines with the use of IoT:
installing an increasing number of data-gathering IoT sensors into our products-
this information helps make predictions about maintenance and service needs of
a particular engine based on the performance of many other engines of the same
model. All about connecting everything through IOT.
o Sachin Gupta, Chief of IOT capability “Every part of the [aircraft] – from the doors
to the lights and everything else – is going to get connected.”
o Data Analysing tool- AI and Smart Discovery- take advantage of the data.
