Apresentação feita no "German-Brazilian Workshop: Smart Manufacturing, Logistics & Energy Systems - Industrial Needs Meet Research Developments", realizado em agosto/2017.
O evento teve como objetivos:
- a apresentação de estudos de caso e avanços tecnológicos e científicos em manufatura inteligente de produtos, logística e sistemas energéticos.
- a identificação de problemas e desafios encontrados pelas indústrias.
7. Siemens Electronics (Amberg, Germany)
Source: O Estadão
(http://patrocinados.estadao.com.br/o-que-o-brasil-quer/pessoas/digitalizacao-e-apontada-como-solucao-para-aumentar-eficiencia-das-empresas/)
12 million units of
components per day
99.9988%
quality rate
75% automation
level
13. It is possible to have
approximately the same
mobility, using only 10% of the
cars that circulate in the cities
Reducing the need for parking
spaces will liberate a significant
public and private space
19. INNOVATION
CYCLE
We work through the entire innovation cycle.
From the study of contexts, through the conception
of ideas to prototyping and development of
innovative business models and solutions.
feedback loops
Studies and
Research
CONCEPTION BUILD
CESARCESAR CLIENT
CONTINUOUS
INNOVATION
Prototyping
and
Validation
Development
Usage Data
Capture
Selling
20. IRRIGATION
MONITOR
How to improve the
performance in the field,
having a better follow-up of
the Central Irrigation Pivots?
Development of a pivot
monitoring service based on
the needs and constraints of
infrastructure and
connectivity of Brazil’s
countryside.
21. CONNECTED
CARS
Development of a solution
to provide service
information, usage
behavior, predictive
maintenance and other
advanced services, using
the vehicle's OBD data.
22. SMART
METERING
Study and technical
specification of a Brazilian
protocol for automatic and
remote data collection of
residential and industrial
electric consumption,
enabling reduction of losses
and increase of operational
efficiency.
24. TELECOM
EQUIPMENT
MONITORING
Analysis of alarms, warnings
and states of telecom
equipment such as base
station components and
core switches.
Use of machine learning and
data mining techniques to
detect failure trends and
anomalies.
Creation of predictive model
to forecast most likely type
of failure and moment of
probable future occurrence.
70% accuracy in type
of forecasted failure,
with 18 hours of
anticipation.
25. KNOT:
META PLATFORM
FOR IOT
KNoT is an open meta
platform that aims to ensure
the communication of the
various IoT platforms,
regardless of the protocol
used. KNoT and its information
are available at:
http://knot.cesar.org.br
26. EQUIPMENT
MONITORING
Equipment monitoring that
helps the control of each
step of the productive
process.
Data extraction of the
equipment and exhibition in
workstations inside the
company for any allowed
person, any time.
Bag House Desiccant Air Dryer Halo 3
Oxygen Purifier Vaisala
30. Analysis of alarms, warnings
and states of telecom
equipment such as base
station components and
core switches.
Use of machine learning and
data mining techniques to
detect failure trends and
anomalies.
Creation of predictive model
to forecast most likely type
of failure and moment of
probable future occurrence.
We can co-invest in the design
and development of connected
products, of which 1/3 are
non-reimbursable resources
(Embrapii resources).
CESAR is the
accredited
EMBRAPII unit for
Internet of Things
32. POETAS.IT
Technologies, Applications and Services Policies and
Strategies for the Internet of Everything.
In a partnership with TecnoPuc (Scientific and Technological
Park of PUCRS), NGPD (Porto Digital's Management Center),
Porto Marinho and CIFS (a Danish think tank), CESAR
launched POETAS.IT, an open document with a series of
strategies for public policies to encourage the diffusion of
IoT in Brazil.
Read and contribute with POETAS.IT