Manual de Instruções - Rede Devicenet (Parte 5)
Autor: Acchilles | Publicado: 2011-08-04T19:29:00-03:00

Dando continuidade ao nosso manual, hoje falaremos sobre Taxa de Comunicação e Caracterísitcas dos Cabos para Rede Industrial Devicenet.


  9. Taxa de Comunicação


  A taxa de comunicação é a velocidade com que os dados são transmitidos no barramento da rede, e quanto maior a velocidade, menor é o tempo de varredura da rede, mas em contra partida menor é o comprimento máximo dos cabos. A tabela abaixo apresenta as três velocidades de transmissão possíveis:

Na grande maioria das aplicações, a velocidade ideal é de 125 kbit/s, pois gera a melhor relação custo / benefício, pois permite o maior comprimento de cabo possível.  Importante: Em uma mesma rede DeviceNet, todos os equipamentos devem estar configurados para a mesma taxa de comunicação, caso contrário se houver algum equipamento configurado em outra taxa de comunicação provavelmente irá interromper o funcionamento de toda a rede.
10. Características dos Cabos
  &nbsp;A tabela abaixo apresenta as características básicas dos cabos DeviceNet.
Importante 1: As derivações devem ser executadas somente com cabo fino, a utilização de outro cabo poderá comprometer todo o funcionamento da rede.  Importante 2: As especificações da rede DeviceNet permitem a utilização de cabo fino como principal (tronco), mas lembramos que a limitação deste cabo será de apenas 100 m.11. Comprimento do Cabo Grosso (tronco)
&nbsp;A linha tronco da rede DeviceNet pode ser implementada com o cabo grosso com seu comprimento máximo limitado em função da taxa de comunicação É possível ainda a utilização do cabo Flat, mas deve-se evitar seu encaminhamento próximo a outros cabos que possam gerar indução eletromagnética.  A ilustração a seguir é um exemplo de uma instalação demonstrando a aplicação da rede DeviceNet para uma taxa de velocidade em 125 Kbits/s (normalmente utilizado) e de acordo com a tabela 15 o limite do cabo grosso é de até 500 metros.    
12. Comprimento do Cabo Fino (derivações)  
Para o cabo fino devem-se fazer duas avaliações:   Comprimento das Derivações:  &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; O comprimento máximo para as derivações é de 6m independentemente da taxa de comunicação selecionada para a rede, o que o nosso exemplo está atendendo.    13. Resistores de Terminação  Nos extremos da rede deve-se instalar um resistor de terminação, que possui o objetivo de reduzir possíveis reflexões do sinal na rede, que causa distúrbios na comunicação, com constantes e aleatórias paradas e eventualmente interrupção total do seu funcionamento.  <v:shape id="Imagem_x0020_57" o:gfxdata="UEsDBBQABgAIAAAAIQDCNPsBHAEAAIQCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKRSTU/DMAy9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" o:spid="_x0000_s1026" style="height: 172.3pt; left: 0px; margin-left: 97.9pt; margin-top: 46.6pt; mso-height-percent: 0; mso-height-relative: page; mso-position-horizontal-relative: text; mso-position-horizontal: absolute; mso-position-vertical-relative: text; mso-position-vertical: absolute; mso-width-percent: 0; mso-width-relative: page; mso-wrap-distance-bottom: 0; mso-wrap-distance-left: 9pt; mso-wrap-distance-right: 9pt; mso-wrap-distance-top: 0; position: absolute; text-align: left; visibility: visible; width: 260.65pt; z-index: 251675648;" type="#_x0000_t75">        
 O resistor de terminação deve ser de 121, mas admite-se o valor comercial mais comum de 120 e sendo a potência dissipada é mínima e um resistor de 1/4W estaria adequado.
13.1 Posição do Resistor de Terminação  Os resistores devem ser conectados entre os fios de comunicação (BR branco e AZ azul), nos dois extremos da rede nos pontos entre todos que possuem a maior distância entre si, ou nas duas caixas de distribuição nos extremos da rede.  Com a rede desligada meça a resistência entre CANH (fio branco) e CANL (fio azul) que deve ser aproximadamente 60, valor das duas resistências de terminação de 120 em paralelo.  Note que este teste serve para verificar se o numero de terminações está correto, porém não testa se a posição está correta, para isto deve-se ter em mãos um projeto da rede onde se define os pontos a serem colocados os terminadores.  Este teste é muito útil, pois é muito mais comum do que se pensa a instalação de um numero incorreto de terminadores, o que causa funcionamento irregular da rede.

É isso aí meus amigos, no próximo post falaremos sobre a Queda de Tensão na Rede DeviceNet. Até lá.