increases the capabilities of IoT products and
services, it also increases their complexity
managed appropriately, this added complexity can
bring new failure modes – with often unpredictable
public acceptance of IoT grows, changing standards
and concern about the safety and security of IoT
systems mean critical products and services require
a flexible, robust systems-oriented engineering
See how the IBM IoT
Continuous Engineering solution and IBM
Watson IoT™ Platform help product engineers
and developers use feedback to optimize
product design and efficiently develop and
engineering isn’t an all-or-nothing approach, but
scales to the needs of IoT product and service
Engineered systems, such as IoT systems, that
connect to the real world and other connected
products carry increased risk to people, property
and the environment in the event of a malfunction.
Successfully developing for IoT requires systems
thinking — an approach responsive to the
demands of creating a distributed system of systems.
This is the core of the continuous engineering
engineering, embedded software design and
application development represent vital aspects of
deliver overall IoT system functionality, three
elements must work in concert. These elements are
managing dependencies, creating software for the
physical devices – which can range from small
sensors to airplanes – and developing IoT
applications that coordinate all of the components.
right-sized and paired with lean techniques, the
capabilities of systems engineering hold many of the
solutions to IoT engineering challenges.
In recent years,
agile methods are being applied not only to
software, but increasingly to systems engineering
Continuous engineering can make use of agile
techniques, which can be adapted for use in IoT
development. But these must be selected and applied
with care to ensure they are appropriate to the size
and scope of the IoT project.
techniques and tools, such as the Scaled Agile
Framework®, can offer tested mechanisms for
minimizing risk while applying and scaling agile
methods to IoT projects.
representation of the elements and dynamics of how
any asset operates and lives throughout its
connected machine and its associated data, no matter
how small or complex can be turned into a digital
twin. Simply put, a digital twin is a virtualized
version of your asset at any point in its lifecycle.
digital twin can be instrumental in developing
connected products. The increased complexity in
design and manufacturing, along with new customer
relationship models, are making the digital twin a
“must have” for connected products.