Sistema inteligente para auxilio no projeto e instalação de uma rede industrial de sensores sem fio
The advancement of technology has provided us with a significant improvement in the communication media. Nowadays we are surrounded by devices that are communicating all the time with each other using electromagnetic waves. Two major benefits of these systems are precisely the mobility provided b...
Tallennettuna:
| Päätekijä: | |
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| Muut tekijät: | |
| Aineistotyyppi: | doctoralThesis |
| Kieli: | por |
| Julkaistu: |
Brasil
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| Aiheet: | |
| Linkit: | https://repositorio.ufrn.br/jspui/handle/123456789/25893 |
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| Yhteenveto: | The advancement of technology has provided us with a significant improvement in the
communication media. Nowadays we are surrounded by devices that are communicating
all the time with each other using electromagnetic waves. Two major benefits of these
systems are precisely the mobility provided by not using cables in their communications
and ease of installation.
The industrial market realized that these characteristics are very advantageous (mainly
in mobile equipment and hostile environments, corrosive or in high temperatures) and began
to invest in this technology with the emergence of two protocols that stand out as being
open wireless communication protocols for industrial environments: WirelessHART and
ISA100.11a.
The WirelessHART was developed by the HART Communication Foundation in revision
7.0 of the HART protocol specification and the ISA100.11a was developed by the
International Society of Automation (ISA), which started the idea of standardizing wireless
industrial communication systems for both automation and control, With ISA100.11a
being the first developed standard.
This thesis work consists in the search, through the use of the multiobjective genetic
algorithm technique, to determine the positions of the routing instruments so that the
network can become as robust as possible in the environment in which it was installed.
The algorithm tests two configurations, one with the allocated devices having the minimum
quantity determined by some rules described in the literature and the other with a
configuration that emulates an environment with some zones of concentration of instruments.
The work consisted in the development of a multiobjective function in which the algorithm
allocates routers testing different positions for the configurations such as signal
strength, number of routers, number of disjoint routes by instruments and number of disjoint
routes between instruments can be achieved (minimized or maximized). Each of
these goals affects others, making this problem a multiobjective problem.
The results show how this approach can favor the construction of more robust networks
with the creation of primary and secondary routes that affect less or are less affected by
the failure of instruments in the wireless network.
As perspectives, this work opens a way for studies that aim to increase the reliability
for the performance of these types of networks in monitoring and control meshes. Several
aspects such as latency, power consumption, error rate, which were not addressed in this
work may be focus in future works. |
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