MODELAGEM DE UM SISTEMA ESPECIALISTA PARA APRIMORAR PRODUTOS E PROCESSOS NA PRODUÇÃO DE LEITE UTILIZANDO A UML

Mario Mollo Neto; Irenilza de Alencar Nääs

doi:10.18011/bioeng2010v4n2p63-86

Autores

Mario Mollo Neto Programa de Pós Graduação em Engenharia de Produção – PPGEP – Universidade Paulista UNIP. Rua Dr. Bacelar, 1212, 4º andar – Vila Clementino – São Paulo – SP – CEP: 04026-002
Irenilza de Alencar Nääs Universidade Estadual de Campinas – Faculdade de Engenharia Agrícola FEAGRI-UNICAMP. irenilza@gmail.com

DOI:

https://doi.org/10.18011/bioeng2010v4n2p63-86

Palavras-chave:

Laminite, Sistema Especialista, Suporte a Decisão, Lógica Fuzzy, Diagnóstico Preventivo, Bem-estar animal, Modelagem

Resumo

A zootecnia de precisão permite o desenvolvimento de ferramentas automatizadas que fornecem um acompanhamento detalhado do plantel, aumentando a rentabilidade, e protegendo os animais racionalmente. O setor agropecuário brasileiro, em decorrência das intempéries da economia mundial globalizada, vem, de maneira crescente, se adaptando à utilização destas ferramentas automatizadas para suporte à tomada de decisão. A laminite é a patologia de maior custo para o gado de leite confinado. Suas causas incluem condições climáticas, de alojamento, de alimentação e a presença de pisos mais abrasivos. Baseando-se nessas informações é possível, utilizando o algoritmo correto, construir um modelo que permita ao usuário estimar a possibilidade de incidência de laminite em gado leiteiro, a partir de dados históricos ou mesmo de outras variáveis que causam a patologia. Neste trabalho foi realizada a modelagem, utilizando a Universal Modelling Language (UML), de um sistema especialista com motor de inferência Fuzzy para o diagnóstico preventivo desta patologia que reduza os impactos na produção e no conforto animal. A partir da modelagem realizada ficam disponíveis novas bases para a futura codificação e construção do sistema especialista para mitigar a patologia de casco, reduzir os impactos de perdas de receita relacionados e ampliar o conforto animal.

Palavras-chave: Laminite, Sistema Especialista, Suporte a Decisão, Lógica Fuzzy, Diagnóstico Preventivo, Bem-estar animal, Modelagem.

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Referências

ASSILIAN, S., MAMDANI, E.: Learning Control Algoritms in Real Dynamic Systems. Proc. 4th International IFAC/IFIP Conference on Digital Computer Applications to Process Control, Zürich, March 1974.

BARR, A., FEIGENBAUM, E.A.: Handbook of Artificial Intelligence. Pitman, London, 1981.

BARRETO, J.M.: Inteligência Artificial no Limiar do Século XXI: ρρρ Edições, Florianópolis, 1997.

BOOCH, G. Object-oriented Analysis and Design with Applications, 2 ed.,

Benjamin/Cummings, Redwood City, 1994.

BORGUIDA, A., GREENSPAN, S., MYLOPOULUS, J., Knowledge representation as the basis for requirements specifications, IEEE Computer, 1985, 18 (4), 82-91.

BUCHANAN, B.G.: Rule-Based Experts Systems. Addison Wesley Publishing Company Inc., USA, 1984.

CHAO, K., R.S. GATES and R.G. ANDERSON. Knowledge-based control systems for single stem rose production-Part I: systems analysis and design. Trans ASAE, 41(4):1153-1161. 1998a.

De BELIE, N., ROMBAUT, E. Caracterisation of claw-floor contact pressures for standing cattle and the dependenciy on concrete roughness. Biosystems Engineering, 85(3), 339-346, 2003.

DOUMEINGTS, G., GIRARD, P.H., EYNARD, B. GIM: GRAI integrated methodology for product development, in: G.Q. Huang (Ed.), Design for X: Concurrent Engineering

Imperatives, Published in the Chapman & Halls Series on Design and Manufacture, 1996, pp. 153–172.

EYNARD,B, GIRARD, P. H, DOUMEINGTS, G. Control of engineering processes through integration of design activities and product knowledge, in: Integration of Process Knowledge into Design Support Systems, CIRP International Design Seminar, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1999.

ENEVOLDSEN, C., SORENSEN, J.T., THYSEN, I., GUARD, C., GROHN, Y.T.: A diagnostic and prognostic tool for epidemiological and economic analysis of dairy-heard health management. J. Dairy Sci., 1995, 78, pp. 974-961.

FOWLER, M., SCOTT, K. UML Distilled Third Edition: A Brief Guide to the Standard Object Modeling Language, Addison-Wesley, Boston, 2004.

GARCIA, A.C.B., VAREJÃO, F.M., FERRAZ, In Aquisição do Conhecimento,l em Sistemas Inteligentes Fundamentos e Aplicações, coordenadora Rezende, S.O, 2005.

GATES, R.S., M.B. TIMMONS, D.G. OVERHULTS and R.W. BOTTCHER. Fuzzy reasoning for environmental control during periods of heat stress. In: R.W. Bottcher and S.J. Hoff, (Editors), Livestock Environment V, Vol I, ASAE, St. Joseph, MI 49085, 1997, pp. 553-562.

GATES, R.S., K. CHAO and N. SIGRIMIS. Design parameters for fuzzy-based control of agricultural ventilation systems. In: Control Applications and Ergonomics in Agriculture, First Workshop on Intelligent Control for Agricultural Application. International Federation of Automatic Control, IFAC Publications, Elsevier Science Ltd., Oxford, UK. 1998, pp 137-142.

GIARRATANO, J.C., RILEY, G.: Expert Systems: Principles and Programing. ITP, 2nd ed., USA, 1998.

GIRARD, G. DOUMEINGTS, Modelling of the engineering design system to improve

performance, Computers & Industrial Engineering 46 (1), 2004, 43–67.

GU, Y., GETTINBY, G., MCKENDRICK, I., MURRAY, M., PEREGRINE, A., REVIE, C.: Development of a decision support system for trypanocidal drug control of bovine trypanosomosis in Africa. Vet. Parasitol., 1999, 87, pp. 9-23.

HART, A. Knowledge Acquisition for expert systems. McGraw-Hill, N.Y.-USA, 1992

KIDD, A.L. Knowledge acquisition for expert Systems. Plenum Press, N.Y.-USA, 1987.

KIM, C.H., WESTON, R.H., HODGSON, A, LEE, K. H.The complementary use of IDEF and UML modelling approaches, Computers in Industry, 2003, 50 35–56.

KIM, Y., KANG, S.K., LEE, S.H., YOO, S.B.. A distributed, open, intelligent product data management system, International Journal of Computer Integrated Manufacturing 14 (2), 2001, 224–235.

LOPES, M.A.: Informática Aplicada à Bovinocultura. Jaboticabal, S.P. FUNEP, 1997, pp. 82.

LOPES, M.A.: Informática Aplicada à Bovinocultura Leiteira. Lavras, M.G., UFLA, 2002, pp. 130.

MAMDANI, E.H. and S. ASSILIAN, "An experiment in linguistic synthesis with a Fuzzy logic controller," International Journal of Man-Machine Studies, 1975, Vol. 7, No. 1, pp. 1-13.

MANSON, F.J., LEAVER., J. D. 1988. The Influence of Dietary Protein Intake and Hoof Trimming on Lameness in Dairy Cattle. Anim. Prod., 47: 191-199.

MATHWORKS Inc. Fuzzy Logic Toolbox User's Guide. Version 2. 3rd printing. The Mathworks Inc, Natick MA, 01760-1500, 1998.

MARTIN-CLOUAIRE, R. and K. KOVATS. Satisfaction of soft constraints applied to the greenhouse to the determination of greenhouse climate setpoints, 211-220. In Proc. AIFA Conf., Artificial Intelligence for Agriculture and Food, Equipment and Process Control, 27-29 October, Nimes, France. London, England:Elsevier, Ltd, 1993.

MARTIN, J., ODELL, J.J. Object-Oriented Analysis and Design, Prentice-Hall, Englewood Cliffs, NJ, 1992.

MC GUINNES, S. How Objective is object-oriented analysis?. In: Proceedings of CaiSE´92. Manchester, UK., 1992, pp 1-16.

MERLO, C., GIRARD, Ph., Information system modeling for engineering design co-ordination. Computers Industry 55: 317-334, 2004.

MOLLO, M. N., CARVALHO, V. R. C., NÄÄS, I.A., Proposta Para A Modelagem Em Uml do Desenvolvimento De Um Sistema Especialista Baseado Em Lógica Fuzzy Para Prevenção Da Ocorrência De Laminite Em Gado De Leite. V Congresso Brasileiro de Agroinformática, SBI-AGRO, Londrina, 2005.

NIELSEN, M., SCHUKKEN, Y.H., HOGEVEEN, H., 1994. Development of an on-line mastitis detection system within an integrated knowledge-based system for dairy farm management support. Vet. Res., 1994, 25, pp. 285-289.

OMG. OBJECT MANAGEMENT GROUP - Unified Modeling Language Specification. Version 1.3, http://www.rational.com/uml/resources/index.jtmp1/, 1999.

PEARL, J.: Heuristics: Inteligent Strategies for computers solving. Addison-Wesley Publishing Company Inc., California – USA, 1984.

QUATRANI, T., Visual Modeling with Rational Rose 2000 and UML, The Addison-Wesley Object Technologies Series, 2nd ed. Addison-Wesley Longman, a Pearson Education Company, 2000, ISBN: 0-201-69961-3.

RAVEN E.T. 1989. Cattle Foot Care and Claw Trimming. Farming Press – UK. 19-33.

REVIE, C.W., REID, S.W.J., IRWIN, T., LOVE, S., MELLOR, D.J., GETTINBY, G.: EqWise and Development of diagnostic aids in equine coughing. Int. J. Appl. Exp. Syst. , 1994, 2, pp. 175-190.

RUMBAUGH, J., BLAHA, M., PREMERLANI,W., EDDY, F., LORENSEN, W.Object Oriented Modelling and Design, Prentice-Hall Inc., Englewood Cliffs, NJ, 1991.

SANCHEZ, E. Equations de Relations Floues. Thèse Biologie Humaine, Faculté de Médecine de Marseille. 1974.

SANCHEZ, E. Resolution of Composite Fuzzy Relation Equations. Information and Control, , 1976, 30, pp. 38-48.

SPRECHER, D. J., D. E. HOSTETLER, KANEENE, J. B.. 1997. A Lameness Scouring System that uses Posture and Gait to Predict Dairy Cattle Reproductive Performance. Therio., 47: 1179-1187.

TURBAN, E., ARONSON, J.E. Decision Support systems and intelligent systems, sixt Edition (6th ed.) Hong Kong: Prentice International Hall, 2001.

USDA. Interior Environment and Energy Use in Poultry and Livestock Facilities. Regional Project S-261. University of Kentucky researchers: R.S. Gates, D.G. Overhults, L.W. Turner, A.J. Pescatore and A.H. Cantor). 1999.

VOZ, V.L., SHREINEMAKERS, J.F., BREE, D.S., VERHEIJDEN, J.H.M. The electronic pig: a prototype of a knowledge-based computer system for swine heard health. Prev. Vet. Med. 9, 1990, pp. 95-106

YAGER, R. R. Approximate reasoning as a basis for rule based expert systems. IEEE

Transactions on Systems, Man and Cybernetics, 1984, 14, 636–643.

ZADEH, L.A. Fuzzy Sets. Information and Control, 1965, 8:338-353 .

ZADEH, L.A. Outline of a New Approach to the analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3, No. 1, January, pp., 1973, 28-44.