Araştırma Makalesi

Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses

Cilt: 13 Sayı: 2 26 Aralık 2017
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Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. Burmeister, A., M., 1986. Jurkschat, M. Nichelmann. Influence of stocking density on the heat balance in the domestic fowl (Gallus domesticus). Journal of Thermal Biology, vol. 11, pp. 117-120.
  2. Charles, D. R., 1984. A model of egg production. British Poultry Science, vol. 25, pp. 309-321.
  3. CIGR, 1984. Climatisation of animal houses. Report of working group, Scottish Farm Building Investigation Unit, Craibstone, Aberdeen, Scotland.
  4. Donham, K. J., D. Cumro, S. J. Reynolds and J. A. Merchant, 2000. Dose-response relationships between occupational aerosol exposures and cross-shift declines of lung function in poultry workers: recommendations for exposure limits, J. Occup. Environ. Med. Vol. 42, pp. 260-269.
  5. Gay, S. W., 2009. Ammonia Emissions and Animal Agriculture. Virginia Cooperative Extension. Puplication 442-110. Biological Systems Engineering College of Agriculture and Life Sciences, Virginia Polytechnic Institute and State University, Virginia State, Petersburg, USA.
  6. Henken, A. M., H. A. Brandsma, W. V. D. and Hel, M. W. A., 1991. Verstegen, Heat balance characteristics of limit-fed growing pigs of several breeds kept in groups at and below thermal neutrality. Journal of Animal Science vol. 69, pp. 2434-2442.
  7. Issley, S. S., E. Lang, 2015. Subject: Ammonia toxicity. https://emedicine.medscape.com/article/820298-overview (Online: June 2017)
  8. Macleod, M. G., 1984. Factors influencing the agreement between thermal physiology measurements and field performance in poultry. Archive of Experimental Veterinary Medicine, vol. 38, pp. 399-410.

Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Huseyin Kursat Celık Bu kişi benim
Türkiye

Allan Rennıe Bu kişi benim
United Kingdom

Yayımlanma Tarihi

26 Aralık 2017

Gönderilme Tarihi

22 Mayıs 2017

Kabul Tarihi

18 Temmuz 2017

Yayımlandığı Sayı

Yıl 2017 Cilt: 13 Sayı: 2

IZ

https://izlik.org/JA26KD25CD

Kaynak Göster

RIS / Bibtex
APA
Caglayan, N., Celık, H. K., & Rennıe, A. (2017). Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi, 13(2), 107-112. https://izlik.org/JA26KD25CD
AMA
1.Caglayan N, Celık HK, Rennıe A. Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. JAMS. 2017;13(2):107-112. https://izlik.org/JA26KD25CD
Chicago
Caglayan, Nuri, Huseyin Kursat Celık, ve Allan Rennıe. 2017. “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”. Tarım Makinaları Bilimi Dergisi 13 (2): 107-12. https://izlik.org/JA26KD25CD.
EndNote
Caglayan N, Celık HK, Rennıe A (01 Aralık 2017) Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi 13 2 107–112.
IEEE
[1]N. Caglayan, H. K. Celık, ve A. Rennıe, “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”, JAMS, c. 13, sy 2, ss. 107–112, Ara. 2017, [çevrimiçi]. Erişim adresi: https://izlik.org/JA26KD25CD
ISNAD
Caglayan, Nuri - Celık, Huseyin Kursat - Rennıe, Allan. “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”. Tarım Makinaları Bilimi Dergisi 13/2 (01 Aralık 2017): 107-112. https://izlik.org/JA26KD25CD.
JAMA
1.Caglayan N, Celık HK, Rennıe A. Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. JAMS. 2017;13:107–112.
MLA
Caglayan, Nuri, vd. “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”. Tarım Makinaları Bilimi Dergisi, c. 13, sy 2, Aralık 2017, ss. 107-12, https://izlik.org/JA26KD25CD.
Vancouver
1.Nuri Caglayan, Huseyin Kursat Celık, Allan Rennıe. Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. JAMS [Internet]. 01 Aralık 2017;13(2):107-12. Erişim adresi: https://izlik.org/JA26KD25CD

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