Concentração de nitrogênio uréico plasmático (NUP) e produção de leite de vacas mestiças mantidas em gramíneas tropicais sob pastejo rotacionado

O trabalho foi realizado com o objetivo de estudar os níveis de nitrogênio uréico plasmático (NUP) de vacas mestiças leiteiras mantidas em duas áreas de pastejo rotacionado, uma de capim-elefante cv. Guaçu (Pennisetum purpureum Schum. cv. Guaçu) e outra de capim-Tanzânia (Panicum maximum Jacq. cv. Tanzânia). Foram avaliadas a produção de forragem e as frações colmo, folha e material morto, com base na matéria seca (MS), bem como os teores de proteína bruta (PB) e fibra em detergente neutro (FDN) nas amostras de forragem. O sangue foi coletado em quatro épocas, utilizando-se 16 vacas por espécie de capim. A média da massa de forragem pré-pastejo foi de 5.321 e 5.384 kg de MS/ha por ciclo de pastejo para o capim-elefante e capim-Tanzânia, respectivamente. A forragem desaparecida pós-pastejo, referente à folha, ao colmo e ao material morto foi de 1.400, 620 e 443 kg de MS/ha para o capim-elefante e de 1.586, 736 e 132 kg de MS/ha para o capim-Tanzânia, por ciclo de pastejo. As médias de quatro ciclos de pastejo de PB e FDN nas amostras da planta inteira, colmo, folha, material morto e resíduo foram de 8,4; 78,5; 6,9; 77,1; 12,5; 76,3; 5,3; 82,6; 6,5; 80,2, respectivamente, para o capim-elefante, e de 9,3; 81,6; 7,4; 82,4; 14,3; 80,4; 6,3; 82,9; 7,6; 81,6, respectivamente, para o capim-Tanzânia. Foi encontrada diferença significativa nos níveis de NUP das vacas alimentadas nas diferentes espécies de capim e por época de amostragem do sangue. As médias de NUP foram 9,8 mg/dL para as vacas mantidas no capim-elefante e 10,6 mg/dL para as vacas mantidas no capim-Tanzânia. Os baixos níveis de NUP encontrados refletem a baixa ingestão de proteína bruta por vacas manejadas em pastagens tropicais.

Suplementação como estratégia de produção de carne de qualidade em pastagens tropicais

O manejo do pastejo e a suplementação estratégica permitem maximizar a produção de carne bovina em pastagens de forma sustentável. A intensidade de pastejo influencia diretamente o crescimento individual, taxas de aparecimento e mortalidade de perfilhos, a determinar o acúmulo de forragem e a estrutura do dossel. Dessa forma, nas águas, é função do manejo do pastejo adequar a frequência e intensidade de desfolhação para que o animal possa colher forragem com idade fisiológica e valor nutritivo adequados. A idade e tamanho dos perfilhos determinam a proporção de tecidos de suporte lignificados que reduzem a digestibilidade da forragem. No período seco, o manejo do pasto e a estratégia de diferimento, ao final do período das águas, são determinantes na obtenção de forragem de melhor valor nutritivo. Assim, o manejo das pastagens visa, primeiramente, à produção de forragens com altos teores de fibra potencialmente digestíveis. A partir de então, a caracterização da quantidade e qualidade da forragem são primordiais à adequação dos nutrientes fornecidos, via suplementos, para otimizar a utilização dos recursos forrageiros basais. A suplementação da dieta dos animais em pastejo, com concentrado, permite aumentar o desempenho dos animais, o que reduz a idade de abate e melhora a qualidade da carcaça e da carne obtida, além dos benefícios na preparação dos animais terminados em confinamento. Portanto, o manejo do pastejo e a suplementação da dieta dos animais permitem aumento de produtividade e maior qualidade dos produtos.

Metodologia para modelagem, validação e programação de controladores lógicos industriais usando statecharts básicos

Due of industrial informatics several attempts have been done to develop notations and semantics, which are used for classifying and describing different kind of system behavior, particularly in the modeling phase. Such attempts provide the infrastructure to resolve some real problems of engineering and construct practical systems that aim at, mainly, to increase the productivity, quality, and security of the process. Despite the many studies that have attempted to develop friendly methods for industrial controller programming, they are still programmed by conventional trial-and-error methods and, in practice, there is little written documentation on these systems. The ideal solution would be to use a computational environment that allows industrial engineers to implement the system using high-level language and that follows international standards. Accordingly, this work proposes a methodology for plant and control modelling of the discrete event systems that include sequential, parallel and timed operations, using a formalism based on Statecharts, denominated Basic Statechart (BSC). The methodology also permits automatic procedures to validate and implement these systems. To validate our methodology, we presented two case studies with typical examples of the manufacturing sector. The first example shows a sequential control for a tagged machine, which is used to illustrated dependences between the devices of the plant. In the second example, we discuss more than one strategy for controlling a manufacturing cell. The model with no control has 72 states (distinct configurations) and, the model with sequential control generated 20 different states, but they only act in 8 distinct configurations. The model with parallel control generated 210 different states, but these 210 configurations act only in 26 distinct configurations, therefore, one strategy control less restrictive than previous. Lastly, we presented one example for highlight the modular characteristic of our methodology, which it is very important to maintenance of applications. In this example, the sensors for identifying pieces in the plant were removed. So, changes in the control model are needed to transmit the information of the input buffer sensor to the others positions of the cell

Cinética da fermentação e taxas de degradação de forrageiras tropicais em diferentes idades de corte estimadas pela técnica de produção de gases in vitro

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Composição química, fracionamento de carboidratos e proteínas e digestibilidade in vitro de forrageiras tropicais em diferentes idades de corte

Objetivou-se avaliar o valor nutritivo de três espécies forrageiras tropicais: capim-tanzânia (Panicum maximum Jacq.), capim-marandu (Brachiaria brizantha) e capim-tifton 85 (Cynodon spp), em duas épocas do ano (janeiro-março e abril-junho) e em três idades de rebrota (28, 35 e 42 dias), por meio da composição química, do fracionamento de proteínas e carboidratos e da digestibilidade in vitro da matéria seca (DIVMS) e da matéria orgânica (DIVMO). O capim-marandu destacou-se no período de janeiro-março, com menores conteúdos de parede celular e fração B2 dos carboidratos e maiores valores de proteína bruta, fração A + B1, DIVMS e DIVMO, em comparação aos capins tanzânia e tifton 85, independentemente da idade de corte. O aumento da concentração de parede celular em detrimento ao conteúdo celular com o avanço da maturidade das plantas foi evidente no capim-marandu no período de janeiro-março, quando foram observados maior valor da fração B2, maior conteúdo de fibra em detergente neutro (FDN) e menor concentração da fração carboidratos não-fibrosos. No período de abril-junho, a composição em parede celular não apresentou diferenças evidentes com aumento da idade, devido às condições ambientais observadas. O capim-tanzânia apresenta, de modo geral, baixos valores de parede celular e altos valores de carboidratos não-fibrosos, DIVMS e DIVMO nesse período, seguido pelos capins marandu e tifton 85, respectivamente.

Produção de metano entérico em pastagens tropicais

Na presente revisão, buscou-se apresentar os principais impactos ambientais causados pela pecuária, sobretudo, em relação às emissões de gases efeito estufa (GEE). Além disso, buscou-se apresentar possíveis formas de mitigar essas externalidades. A criação de bovinos, no Brasil, acontece de forma extensiva, muitas vezes em áreas com pastagem degradada e, portanto, de baixa produtividade. Isso possibilita à atividade uma oportunidade de redução do impacto causado ao meio ambiente, uma vez que ações tomadas, no sentido de melhorar o rendimento animal, devem resultar em um menor consumo de recursos naturais (terra e água) e maior eficiência do sistema digestivo animal. Os principais problemas apontados pelos pesquisadores, no que tange à pecuária extensiva, são o metano emitido pela fermentação entérica dos ruminantes, o óxido nitroso emitido pelos dejetos dos animais em pastejo e o dióxido de carbono trocado pelo solo e vegetação. Muitos fatores influenciam a produção de CH4 entérico dos ruminantes, inclusive o tipo de carboidrato fermentado, o sistema digestivo do animal, a quantidade e o tipo de alimentos consumidos. Diante do exposto, pesquisadores têm desenvolvido tecnologias para reduzir a emissão de metano, através da melhoria das práticas de manejo alimentar, manipulação ruminal, por meio de suplementação com monensina, lipídios, ácidos orgânicos e compostos de plantas. Outras estratégias de redução de metano que foram investigadas são: defaunação e vacinas, que buscam inibir micro-organismos metanogênicos e a metanogênese. Assim, a busca por sistemas de produção eficientes tem sido uma das perspectivas da pecuária mundial para reduzir a emissão de poluentes e intensificar a produção animal.

Uma arquitetura de software baseada em componentes visualização de informações industriais

Due to the current need of the industry to integrate data of the beginning of production originating from of several sources and of transforming them in useful information for sockets of decisions, a search exists every time larger for systems of visualization of information that come to collaborate with that functionality. On the other hand, a common practice nowadays, due to the high competitiveness of the market, it is the development of industrial systems that possess characteristics of modularity, distribution, flexibility, scalability, adaptation, interoperability, reusability and access through web. Those characteristics provide an extra agility and a larger easiness in adapting to the frequent changes of demand of the market. Based on the arguments exposed above, this work consists of specifying a component-based architecture, with the respective development of a system based on that architecture, for the visualization of industrial data. The system was conceived to be capable to supply on-line information and, optionally, historical information of variables originating from of the beginning of production. In this work it is shown that the component-based architecture developed possesses the necessary requirements for the obtaining of a system robust, reliable and of easy maintenance, being, like this, in agreement with the industrial needs. The use of that architecture allows although components can be added, removed or updated in time of execution, through a manager of components through web, still activating more the adaptation process and updating of the system

Uma metodologia para modelagem e avaliação da dependabilidade de redes industriais sem fio

Ensuring the dependability requirements is essential for the industrial applications since faults may cause failures whose consequences result in economic losses, environmental damage or hurting people. Therefore, faced from the relevance of topic, this thesis proposes a methodology for the dependability evaluation of industrial wireless networks (WirelessHART, ISA100.11a, WIA-PA) on early design phase. However, the proposal can be easily adapted to maintenance and expansion stages of network. The proposal uses graph theory and fault tree formalism to create automatically an analytical model from a given wireless industrial network topology, where the dependability can be evaluated. The evaluation metrics supported are the reliability, availability, MTTF (mean time to failure), importance measures of devices, redundancy aspects and common cause failures. It must be emphasized that the proposal is independent of any tool to evaluate quantitatively the target metrics. However, due to validation issues it was used a tool widely accepted on academy for this purpose (SHARPE). In addition, an algorithm to generate the minimal cut sets, originally applied on graph theory, was adapted to fault tree formalism to guarantee the scalability of methodology in wireless industrial network environments (< 100 devices). Finally, the proposed methodology was validate from typical scenarios found in industrial environments, as star, line, cluster and mesh topologies. It was also evaluated scenarios with common cause failures and best practices to guide the design of an industrial wireless network. For guarantee scalability requirements, it was analyzed the performance of methodology in different scenarios where the results shown the applicability of proposal for networks typically found in industrial environments

Especificação de um bloco funcional implementando rede neural para redes industriais foundations fieldbus

This work proposes the specification of a new function block according to Foundation Fieldbus standards. The new block implements an artificial neural network, which may be useful in process control applications. The specification includes the definition of a main algorithm, that implements a neural network, as well as the description of some accessory functions, which provide safety characteristics to the block operation. Besides, it also describes the block attributes emphasizing its parameters, which constitute the block interfaces. Some experimental results, obtained from an artificial neural network implementation using actual standard functional blocks on a laboratorial FF network, are also shown, in order to demonstrate the possibility and also the convenience of integrating a neural network to Fieldbus devices

Uma ferramenta de manipulação de pacotes para análise de protocolos de redes industriais baseados em TCP/IP

This work presents a packet manipulation tool developed to realize tests in industrial devices that implements TCP/IP-based communication protocols. The tool was developed in Python programming language, as a Scapy extension. This tool, named IndPM- Industrial Packet Manipulator, can realize vulnerability tests in devices of industrial networks, industrial protocol compliance tests, receive server replies and utilize the Python interpreter to build tests. The Modbus/TCP protocol was implemented as proof-of-concept. The DNP3 over TCP protocol was also implemented but tests could not be realized because of the lack of resources. The IndPM results with Modbus/TCP protocol show some implementation faults in a Programmable Logic Controller communication module frequently utilized in automation companies

Ambiente para desenvolvimento de aplicações fuzzy industriais

This paper describes the design, implementation and enforcement of a system for industrial process control based on fuzzy logic and developed using Java, with support for industrial communication protocol through the OPC (Ole for Process Control). Besides the java framework, the software is completely independent from other platforms. It provides friendly and functional tools for modeling, construction and editing of complex fuzzy inference systems, and uses these logical systems in control of a wide variety of industrial processes. The main requirements of the developed system should be flexibility, robustness, reliability and ease of expansion

Métricas de desempenho para sistema de alarmes de processos industriais

The evolution of automation in recent years made possible the continuous monitoring of the processes of industrial plants. With this advance, the amount of information that automation systems are subjected to increased significantly. The alarms generated by the monitoring equipment are a major contributor to this increase, and the equipments are usually deployed in industrial plants without a formal methodology, which entails an increase in the number of alarms generated, thus overloading the alarm system and therefore the operators of such plants. In this context, the works of alarm management comes up with the objective of defining a formal methodology for installation of new equipment and detect problems in existing settings. This thesis aims to propose a set of metrics for the evaluation of alarm systems already deployed, so that you can identify the health of this system by analyzing the proposed indices and comparing them with parameters defined in the technical norms of alarm management. In addition, the metrics will track the work of alarm management, verifying if it is improving the quality of the alarm system. To validate the proposed metrics, data from actual process plants of the petrochemical industry were used

Metodologia para re-sintonia de controladores PID industriais

The present work has as objective to present a method of project and implementation of controllers PID, based on industrial instrumentation. An automatic system of auto-tunning of controllers PID will be presented, for systems of first and second order. The software presented in this work is applied in controlled plants by PID controllers implemented in a CLP. Software is applied to make the auto-tunning of the parameters of controller PID of plants that need this tunning. Software presents two stages, the first one is the stage of identification of the system using the least square recursive algorithm and the second is the stage of project of the parameters of controller PID using the root locus algorithm. An important fact of this work is the use of industrial instrumentation for the accomplishment of the experiments. The experiments had been carried through in controlled real plants for controllers PID implemented in the CLP. Thus has not only one resulted obtained with theoreticians experiments made with computational programs, and yes resulted obtained of real systems. The experiments had shown good results gotten with developed software

Redes neurais artificiais no ambiente de redes industriais foundation fieldbus usando blocos funcionais padrões

Industrial automation networks is in focus and is gradually replacing older architectures of systems used in automation world. Among existing automation networks, most prominent standard is the Foundation Fieldbus (FF). This particular standard was chosen for the development of this work thanks to its complete application layer specification and its user interface, organized as function blocks and that allows interoperability among different vendors' devices. Nowadays, one of most seeked solutions on industrial automation are the indirect measurements, that consist in infering a value from measures of other sensors. This can be made through implementation of the so-called software sensors. One of the most used tools in this project and in sensor implementation are artificial neural networks. The absence of a standard solution to implement neural networks in FF environment makes impossible the development of a field-indirect-measurement project, besides other projects involving neural networks, unless a closed proprietary solution is used, which dos not guarantee interoperability among network devices, specially if those are from different vendors. In order to keep the interoperability, this work's goal is develop a solution that implements artificial neural networks in Foundation Fieldbus industrial network environment, based on standard function blocks. Along the work, some results of the solution's implementation are also presented

Estratégia de escalonamento de controladores PID baseado em regras Fuzzy para redes industriais foundation fieldbus usando blocos padrões

The main objective of work is to show procedures to implement intelligent control strategies. This strategies are based on fuzzy scheduling of PID controllers, by using only standard function blocks of this technology. Then, the standardization of Foundation Fieldbus is kept. It was developed an environment to do the necessary tests, it validates the propose. This environment is hybrid, it has a real module (the fieldbus) and a simulated module (the process), although the control signals and measurement are real. Then, it is possible to develop controllers projects. In this work, a fuzzy supervisor was developed to schedule a network of PID controller for a non-linear plant. Analyzing its performance results to the control and regulation problem