Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses

Year 2017, Volume: 13 Issue: 2, 107 - 112, 26.12.2017

Nuri Caglayan Huseyin Kursat Celık Allan Rennıe

Abstract

There are many factors that influence
the health and productivity of the animals in livestock production fields,
including temperature, humidity, carbon dioxide (CO₂), ammonia (NH₃),
hydrogen sulfide (H₂S), physical activity and particulate matter.
High NH₃ concentrations reduce feed consumption and cause daily
weight gain. In addition, at high concentrations, H₂S causes
respiratory problems and CO₂, displace oxygen, which can cause
suffocation or asphyxiation. Good air quality in livestock facilities can have
an impact on the health and well-being of animals and humans. Air quality
assessment is basically depend on strictly given limits without taking into
account specific local conditions between harmful gases and other
meteorological factors. The stated limitations may be eliminated using
controlling systems based on neural networks and fuzzy logic. This paper
describes a fuzzy logic based ventilation algorithm, which can calculate
different fan speeds under pre-defined boundary conditions, for removing
harmful gases from the production environment. In the paper, a novel model has
been developed based on a Mamedani’s fuzzy logic method. The model has been
built on MATLAB software. As the result, optimum fan speeds under pre-defined
boundary conditions have been presented.

Keywords

Air quality, fuzzy logic model, livestock housing

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