{"id":6569,"date":"2019-01-18T15:06:21","date_gmt":"2019-01-18T17:06:21","guid":{"rendered":"http:\/\/agrodata.me\/?p=6569"},"modified":"2019-03-01T18:14:20","modified_gmt":"2019-03-01T21:14:20","slug":"arrow-200-coleta-de-dados-em-rede-de-saneamento","status":"publish","type":"post","link":"https:\/\/agrodata.me\/en\/2019\/01\/18\/arrow-200-coleta-de-dados-em-rede-de-saneamento\/","title":{"rendered":"Arrow 200: \u00c1gua, \u00e1gua! Onde?"},"content":{"rendered":"
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Caso de Sucesso: Arrow 200 - Coleta de Dados em Rede de Saneamento<\/h3><\/div>\r\n
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A WaterOne encontrou-se presa no passado! Esta empresa p\u00fablica independente de saneamento dos EUA sabia que seu fluxo de trabalho para coletar dados geoespaciais estava com problemas.<\/strong> <\/span><\/p>\n

A WaterOne serve uma \u00e1rea de 587,927 km\u00b2 no lado de Kansas City da \u00e1rea metropolitana de Kansas, Missouri, que tem uma popula\u00e7\u00e3o de 420.000, 145.000 liga\u00e7\u00f5es de fornecimento e 4.321,08 quil\u00f4metros de tubula\u00e7\u00f5es de \u00e1gua. A equipe de pesquisa geoespacial consistia de 3 analistas, 2 editores, 1 programador e 1 coletor de dados georreferenciados. At\u00e9 2016, somente 40% de todas as informa\u00e7\u00f5es de rede foram capturadas com GPS.<\/span><\/p>\n

A equipe estava usando coletores de dados GNSS antigos – os operadores precisavam retornar ao escrit\u00f3rio todas as noites e fisicamente <\/span>baixar seus dados.<\/span><\/p>\n

Al\u00e9m de consumir muito tempo, os operadores ficavam frustrados com o sistema ultrapassado. \u00c0s vezes os computadores de m\u00e3o n\u00e3o sincronizavam com o computador, ou arquivos para download n\u00e3o estavam l\u00e1. Al\u00e9m disso, os computadores de m\u00e3o GNSS tinham uma tela pequena, dificultando para os operadores verem a tela de fundo no campo. O poder de computa\u00e7\u00e3o limitado dos coletores significava que a rede de \u00e1gua inteira n\u00e3o podia ser carregada nele. <\/span><\/p>\n

A WaterOne resolveu ent\u00e3o definir um novo fluxo de trabalho usando computadores tablet Panasonic ToughPad e receptores GNSS Arrow 200 RTK montados em um bast\u00e3o.<\/span><\/p>\n

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O receptor Arrow 200 conecta-se ao Panasonic ToughPad via link Bluetooth sem fio. O ToughPad tem um cart\u00e3o SIM da Verizon para conectividade com a Internet, usado para duas finalidades:<\/span><\/p>\n

    \n
  • Conectar-se \u00e0 rede RTK do Departamento de Transportes de Missouri para receber corre\u00e7\u00f5es RTK para precis\u00e3o centim\u00e9trica;
    \n<\/span><\/li>\n
  • Conectar-se ao servidor WaterOne ArcGIS em tempo real a partir do campo.<\/span><\/li>\n<\/ul>\n

    Sempre que o t\u00e9cnico de campo coleta dados, os dados s\u00e3o sincronizados com o servidor ArcGIS. Isso elimina a tarefa de ter que baixar fisicamente os dados no final do dia.<\/span>O novo fluxo de trabalho tamb\u00e9m fornece atualiza\u00e7\u00f5es quase em tempo real do sistema de informa\u00e7\u00f5es geoespaciais da WaterOne. Isso significa que, se cinco t\u00e9cnicos estiverem no campo coletando dados, cada um deles poder\u00e1 ver o mapa atualizado quase em tempo real. <\/span><\/p>\n

    Os tablets ToughPad t\u00eam uma tela grande de 10 polegadas leg\u00edvel \u00e0 luz do sol. Os grandes displays combinados com o novo software de coleta de dados permitem que os t\u00e9cnicos de campo visualizem toda a rede de \u00e1gua e esgoto GIS nos tablets. O t\u00e9cnico de campo agora pode \u201cver\u201d todos os ativos da rede de \u00e1gua – tubula\u00e7\u00f5es, v\u00e1lvulas, conex\u00f5es, hidrantes \u2013 e o que h\u00e1 ao redor deles. Isso melhora significativamente a produtividade em rela\u00e7\u00e3o aos port\u00e1teis legados GNSS. <\/span><\/p>\n

    Mapas de ruas e fotos a\u00e9reas tamb\u00e9m foram carregados no ToughPad para dar aos t\u00e9cnicos de campo uma op\u00e7\u00e3o de dados em segundo plano para visualiza\u00e7\u00e3o.<\/span><\/p>\n

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    O Resultado<\/strong><\/h4>\n

    \nEm compara\u00e7\u00e3o com os 1.767 pontos georreferenciados coletados em 2016, a equipe da WaterOne coletou 5.770 apenas nos primeiros quatro meses de 2017.\u00a0\u00a0<\/span>\n<\/p><\/blockquote>\n

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    Novos resultados de fluxo de trabalho: <\/b>2,8 cm de erro.<\/em><\/p>\n\t<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>","protected":false},"excerpt":{"rendered":"Caso de Sucesso: Arrow 200 - Coleta de Dados em Rede de Saneamento A WaterOne encontrou-se presa no passado! Esta empresa p\u00fablica independente de saneamento...","protected":false},"author":1,"featured_media":6581,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62],"tags":[],"class_list":{"0":"post-6569","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-casos-de-sucesso-eos"},"yoast_head":"\nArrow 200: \u00c1gua, \u00e1gua! 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