Vision and Challenges for Realising the Internet of Things

An overview of the LCA procedure, creating the base for these KPIs, is presented in the White
Paper - How to gain from measuring environmental impact from wood products [4].
The indicators are calculated and presented in Traceability Services (TS). The TS allows the
environmental impact from production of a product to be computed at item level, because
information regarding processes at each stage of production is tracked and used as input to
the calculation of the KPIs. Typical information which is needed in the KPI calculation is direct
emissions to air (e.g. CO2 and particles), raw material use, resource consumption, energy
use, generation of waste, production volumes and the ratio of different products. An initial
inventory of the current situation is required for correct configuration of the KPIs in TS. When
inputs are not measured on-line, and thus not available for automatic tracking in TS, results of
the inventory can be used as default values. The more detailed information that is gathered in
TS from each stage of production the higher the specificity of the KPI and the higher the potential
benefits for the users.
The KPIs reflect the environmental impact of production. Thus the aim for an industrial user
is to keep the values of the KPI as low as possible. The front page of the environmental interface
of the system developed in Indisputable Key can be configured according to user preferences,
with information on e.g. values of the most interesting KPIs and contribution to a KPI
from the different processing stages, see Figure 4.9-6.
Figure 4.9-6: Front page of the environmental interface provides the industrial user with his
preferred information. The example shows information on KPI values, colour indicator on KPI
level compared to defined limits and the contribution to the KPI Climate Change from the
different production stages.
The user can view the result with different levels of detail. The most aggregated level is to present
the accumulated KPI value for all the stages of the entire production chain. From that it is
possible to drill down and get information on the contribution from separate stages (e.g. harvesting,
transport and saw mill) and different processes within a production stage (e.g. log
sorting, sawing and green sorting in the saw mill). It is also possible to analyse which of the
CERP-IoT – Cluster of European Research Projects on the Internet of Things
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