{"id":102,"date":"2020-05-23T18:53:52","date_gmt":"2020-05-23T15:53:52","guid":{"rendered":"http:\/\/qualist.com\/blog\/?p=102"},"modified":"2020-05-23T19:33:09","modified_gmt":"2020-05-23T16:33:09","slug":"big-data-ile-basa-cikmaya-hazir-misiniz","status":"publish","type":"post","link":"https:\/\/qualist.com\/blog\/tr\/big-data-ile-basa-cikmaya-hazir-misiniz\/","title":{"rendered":"Big Data ile ba\u015fa \u00e7\u0131kmaya haz\u0131r m\u0131s\u0131n\u0131z?"},"content":{"rendered":"\n

END\u00dcSTR\u0130YEL BIG DATA (B\u00dcY\u00dcK VER\u0130) NED\u0130R?<\/strong><\/p>\n\n\n\n

G\u00fcn\u00fcm\u00fczde gittik\u00e7e s\u0131k duymaya ba\u015flad\u0131\u011f\u0131m\u0131z Big Data kavram\u0131 i\u015fletmeler i\u00e7in de hayati bir \u00f6nem ta\u015f\u0131yor. \u00a0Her g\u00fcn bir\u00e7ok veri kayna\u011f\u0131ndan milyarlarca byte veri birikiyor.<\/p>\n\n\n\n

Peki, bu durum end\u00fcstride nas\u0131l geli\u015fiyor?<\/strong><\/h4>\n\n\n\n
\"\"<\/figure>\n\n\n\n

End\u00fcstri 4.0\u00a0ile birlikte \u00e7a\u011f art\u0131k ak\u0131ll\u0131 makinelerin \u00e7a\u011f\u0131. Bu ak\u0131ll\u0131 makinelere ba\u011fl\u0131 bir\u00e7ok sens\u00f6rlerden milyonlarca bit\u2019lik veri ak\u0131\u015f\u0131 ger\u00e7ekle\u015fiyor. \u0130\u015fin as\u0131l \u00f6nemli k\u0131sm\u0131 bu a\u015famadan sonra ba\u015fl\u0131yor. Toplanan veri anlamland\u0131r\u0131lmad\u0131\u011f\u0131 s\u00fcrece veri y\u0131\u011f\u0131n\u0131ndan \u00f6teye ge\u00e7emiyor. \u0130\u015fletmeler i\u00e7in toplanan bu verinin h\u0131zl\u0131 bir \u015fekilde analiz edilmesi b\u00fcy\u00fck \u00f6nem ta\u015f\u0131yor. \u00a0Fabrikadan toplanan bu verilerle \u00fcretim planlamas\u0131, bak\u0131m planlamas\u0131, maliyet analizi, verimlilik, gibi bir\u00e7ok konuda kararlar al\u0131n\u0131yor. En \u00f6nemlisi de plans\u0131z fabrika duru\u015flar\u0131n\u0131n \u00f6n\u00fcne ge\u00e7iliyor. Geriye d\u00f6n\u00fck analizler bir\u00e7ok sorunun nedenlerine \u0131\u015f\u0131k tuttu\u011fu gibi, bu veriye dayal\u0131 ak\u0131ll\u0131 kestirimler bir\u00e7ok sorunun ger\u00e7ekle\u015fmeden \u00f6nce yakalanabilmesine olanak sa\u011fl\u0131yor. Bu denli geni\u015f analizlerin etkin uygulanmas\u0131 i\u015fletmelere zamandan ve maliyetten tasarruf kazand\u0131r\u0131yor. \u00a0<\/p>\n\n\n\n

Qualist Bridge end\u00fcstriyel big data ile ba\u015fa \u00e7\u0131kman\u0131z\u0131 sa\u011flar.<\/strong><\/h4>\n\n\n\n

Qualist Bridge, yukar\u0131da bahsetti\u011fimiz gibi proses hatt\u0131n\u0131zdaki sens\u00f6rlerin \u00fcretti\u011fi t\u00fcm verileri ger\u00e7ek zamanl\u0131 analiz, raporlama ve izleme ama\u00e7l\u0131 olarak toplar, ar\u015fivler ve veriye dayal\u0131 etkin kararlar al\u0131nmas\u0131na olanak sa\u011flar. Tesislerdeki bir\u00e7ok farkl\u0131 yaz\u0131l\u0131m ile haberle\u015ferek tek bir platform \u00fczerinden t\u00fcm verilere eri\u015fim imkan\u0131 sunar. \u00a0Otomasyon sistemleri i\u00e7erisindeki PLC\/DCS ile do\u011frudan ya da OPC (OLE for Process Control) sunucular\u0131 arac\u0131l\u0131\u011f\u0131 ile haberle\u015ferek, sens\u00f6r verilerini h\u0131zl\u0131 bir \u015fekilde al\u0131r ve saklar. \u00dcretim prosesinde bulunan t\u00fcm kritik \u00fcnite ve ekipmanlar\u0131n vibrasyon, s\u0131cakl\u0131k, nem ve bas\u0131n\u00e7 gibi verilerini otomatik olarak kay\u0131t alt\u0131na al\u0131r ve raporlar. ERP (SAP, Oracle vb) sistemleri ile kolayca entegre olur. Ayr\u0131ca manuel veri kayd\u0131 imkan\u0131 ile laboratuvar ve kalite de\u011ferleri de Bridge\u2019e eklenebildi\u011fi gibi, veri taban\u0131ndaki tagler \u00fczerinden sanal parametre yaratabilme i\u015flevi ile de bir i\u015fletme prosesindeki t\u00fcm verilere ait say\u0131sal de\u011ferlere sahip olmak m\u00fcmk\u00fcnd\u00fcr. T\u00fcm bu \u00f6zellikleri ile Bridge\u2019 i etkin bir \u201cEnd\u00fcstriyel Analitik Yaz\u0131l\u0131m\u0131\u201d olarak d\u00fc\u015f\u00fcnebilirsiniz.\u00a0<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Veriye dayal\u0131 karar vermenin g\u00fcc\u00fcn\u00fc ke\u015ffedin.<\/h4>\n\n\n\n

Qualist Bridge geriye d\u00f6n\u00fck verilerin incelenmesi noktas\u0131nda da \u00e7ok \u00f6nemli bir avantaja sahiptir. \u00d6rnek olarak, 1000 adet sens\u00f6r verisi, 5 sn’lik periyotlarla sistem i\u00e7erisinde sakland\u0131\u011f\u0131nda, 1 TB kapasitesi olan bir disk \u00fczerinde yakla\u015f\u0131k 10 y\u0131ll\u0131k geriye d\u00f6n\u00fck sens\u00f6r verileri saklanabilmektedir. Bu \u00f6zelli\u011fi ile Bridge, kullan\u0131c\u0131lar\u0131n geni\u015f bir tarih aral\u0131\u011f\u0131 i\u00e7erisinde ge\u00e7mi\u015f veriler \u00fczerinde izleme ve analiz yapmalar\u0131na olanak tan\u0131yarak veriye dayal\u0131 kararlar almas\u0131n\u0131 sa\u011flar. Bunun yan\u0131nda bak\u0131m ve donan\u0131m maliyetlerini de b\u00fcy\u00fck oranda azalt\u0131r.<\/p>\n\n\n\n

Web tabanl\u0131 yap\u0131s\u0131 ile kolay eri\u015fim rahatl\u0131\u011f\u0131<\/h4>\n\n\n\n

Qualist Bridge web tabanl\u0131 bir yaz\u0131l\u0131m olup, i\u015fletme lokal network dahilinde \u00e7al\u0131\u015fmaktad\u0131r. Lokal network ba\u011flant\u0131s\u0131 bulunan herhangi bir cihaz \u00fczerinden lokasyondan ba\u011f\u0131ms\u0131z olarak Qualist Bridge\u2019e kolayca eri\u015febilirsiniz. \u0130\u015fletme IT ekibinin sa\u011flayaca\u011f\u0131 VPN ba\u011flant\u0131s\u0131 ile fabrika i\u00e7inde bulunman\u0131za gerek kalmadan, diledi\u011finiz her yerden fabrika otomasyon sisteminizi takip edebilirsiniz.<\/p>\n\n\n\n

Erken Uyar\u0131 Sistemi ile sorunlar\u0131 olu\u015fmadan yok edin.<\/strong><\/h4>\n\n\n\n

Qualist Bridge, kullan\u0131c\u0131lar\u0131n olu\u015fturduklar\u0131 \u00f6zel alarmlar arac\u0131l\u0131\u011f\u0131 ile anl\u0131k SMS ya da e-posta bildirimlerini yetkili ki\u015filere ileterek, otomasyon sisteminde olabilecek olas\u0131 sorunlar\u0131 ve meydana gelebilecek daha b\u00fcy\u00fck zararlar\u0131 \u00f6nlemeye yard\u0131mc\u0131 olur ve kesintisiz \u00fcretimin devaml\u0131l\u0131\u011f\u0131n\u0131 sa\u011flay\u0131p, maliyetleri azaltarak karl\u0131l\u0131\u011f\u0131 artt\u0131r\u0131r.
Qualist Bridge, geli\u015ftirilebilir mod\u00fcler yap\u0131s\u0131yla b\u00fct\u00e7enize uygun ve ihtiyac\u0131n\u0131za y\u00f6nelik \u015fekillenebilir. Qualist i\u015f platformu, operasyonunuza uygun uygulamalar\u0131 se\u00e7erek, \u015firketinizin ihtiya\u00e7lar\u0131na y\u00f6nelik \u00f6zel platformunuzu olu\u015fturabilece\u011finiz bir servis sunmaktad\u0131r. Uygulama eklemesi veya \u015firketinize uygun uygulama geli\u015ftirilmesi \u00f6zelli\u011fiyle i\u015fletmeniz i\u00e7in esnek \u00e7\u00f6z\u00fcmler sunar. Sahip oldu\u011fu mod\u00fcler sistem mimarisiyle ihtiya\u00e7lar\u0131n\u0131za y\u00f6nelik uygulamalar geli\u015ftirmeye m\u00fcsaittir.<\/p>\n","protected":false},"excerpt":{"rendered":"

END\u00dcSTR\u0130YEL BIG DATA (B\u00dcY\u00dcK VER\u0130) NED\u0130R? G\u00fcn\u00fcm\u00fczde gittik\u00e7e s\u0131k duymaya ba\u015flad\u0131\u011f\u0131m\u0131z Big Data kavram\u0131 i\u015fletmeler i\u00e7in de hayati bir \u00f6nem ta\u015f\u0131yor. \u00a0Her g\u00fcn bir\u00e7ok veri kayna\u011f\u0131ndan milyarlarca byte veri birikiyor. Peki, bu durum end\u00fcstride nas\u0131l geli\u015fiyor? End\u00fcstri 4.0\u00a0ile birlikte \u00e7a\u011f art\u0131k ak\u0131ll\u0131 makinelerin \u00e7a\u011f\u0131. Bu ak\u0131ll\u0131 makinelere ba\u011fl\u0131 bir\u00e7ok sens\u00f6rlerden milyonlarca bit\u2019lik veri ak\u0131\u015f\u0131 ger\u00e7ekle\u015fiyor. […]<\/p>\n","protected":false},"author":1,"featured_media":104,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-102","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel","entry"],"_links":{"self":[{"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/posts\/102","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/comments?post=102"}],"version-history":[{"count":9,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/posts\/102\/revisions"}],"predecessor-version":[{"id":115,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/posts\/102\/revisions\/115"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/media\/104"}],"wp:attachment":[{"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/media?parent=102"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/categories?post=102"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qualist.com\/blog\/wp-json\/wp\/v2\/tags?post=102"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}