{"id":152145,"date":"2022-03-11T11:53:38","date_gmt":"2022-03-11T08:53:38","guid":{"rendered":"https:\/\/www.enerjigazetesi.ist\/?p=152145"},"modified":"2022-03-11T12:04:20","modified_gmt":"2022-03-11T09:04:20","slug":"kentsel-su-sistemleri-yonetimi-ni-yapay-zeka-ile-daha-verimli-kilmak-mumkun","status":"publish","type":"post","link":"https:\/\/www.enerjigazetesi.ist\/en\/kentsel-su-sistemleri-yonetimi-ni-yapay-zeka-ile-daha-verimli-kilmak-mumkun\/","title":{"rendered":"(Turkish) ’Kentsel Su Sistemleri Y\u00f6netimi’ni Yapay Zeka ile Verimli K\u0131lmak M\u00fcmk\u00fcn"},"content":{"rendered":"

Sorry, this entry is only available in Turkish<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p>

<\/p>\n

Su kaynaklar\u0131n\u0131n temini, toplanmas\u0131 ve y\u00f6netilmesi \u00f6zellikle b\u00fcy\u00fck \u015febekelerin s\u00f6z konusu oldu\u011fu kentlerde zorluklar\u0131 da beraberinde getiriyor. Yapay zeka, veri analiti\u011fi, regresyon modelleri ve \u00e7e\u015fitli algoritmalar ise su y\u00f6netimi s\u00fcrecindeki zorluklar\u0131 n\u00f6tralize etmeyi ve s\u00fcreci efektif \u015fekilde y\u00f6netmeyi m\u00fcmk\u00fcn k\u0131l\u0131yor. Terfi merkezi ve vana gibi sistem bile\u015fenlerinde otomasyon teknolojilerini uygulamak ve t\u00fcm bu kaynaklar\u0131 optimize eden bir kontrol platformunu hayata ge\u00e7irmek ise istenilen verim ve karl\u0131l\u0131\u011fa ula\u015fmay\u0131 m\u00fcmk\u00fcn k\u0131l\u0131yor.<\/h2>\n

Su \u015febekesinin operasyon verimlili\u011fini<\/strong> art\u0131ran \u00f6zellikleriyle \u00f6ne \u00e7\u0131kan sistem, su \u015febekesi operat\u00f6r\u00fcn\u00fcn m\u00fc\u015fterilere homojen bir kullan\u0131m deneyimi sunmas\u0131, i\u015fletme maliyetlerini kontrol alt\u0131na almas\u0131<\/strong> ve bak\u0131m ihtiya\u00e7lar\u0131n\u0131 minimum<\/strong> seviyede tutmas\u0131 i\u00e7in gerekli ko\u015fullar\u0131 sa\u011fl\u0131yor.<\/p>\n

\"\"Enerji t\u00fcketimini, su ka\u00e7aklar\u0131n\u0131 ve bak\u0131m gereksinimlerini azaltan ak\u0131ll\u0131 algoritma<\/strong><\/h3>\n

Kentsel su sistemleri<\/strong> i\u00e7in hassas kontrol sa\u011flayan Aquatoria\u00ae, pompa istasyonunu t\u00fcketici talebiyle uyumlu hale getirip a\u015f\u0131r\u0131 bas\u0131nc\u0131 ortadan kald\u0131r\u0131yor, her istasyonda optimum pompalama<\/strong> \u00fcnitesi seti se\u00e7imini otomatik hale getiriyor. Sudaki bas\u0131nc\u0131 ilgili standartlarla uyumlu hale getiren sistem, su da\u011f\u0131t\u0131m sistemi<\/strong> i\u00e7indeki y\u00fck\u00fc ve su ka\u00e7aklar\u0131n\u0131<\/strong> azalt\u0131yor. Pompa \u00fcnitesindeki \u00e7al\u0131\u015fmalar\u0131 otomatik te\u015fhis eden sistem, tahmine dayal\u0131 algoritmalar arac\u0131l\u0131\u011f\u0131yla an\u0131nda aksiyon almay\u0131 sa\u011flarken daha az personelle verimli bir \u015febeke y\u00f6netimi<\/strong> sunuyor.<\/p>\n

Kontroll\u00fc bas\u0131n\u00e7 ile daha az bak\u0131m daha \u00e7ok verim<\/strong><\/h3>\n

Aquatoria\u00ae teknolojisi, suyu en verimli \u015fekilde<\/strong> \u015fehrin kullan\u0131m\u0131na sunma \u00f6zelli\u011fiyle dikkat \u00e7ekiyor. Bu kapsamda verimsiz \u00e7al\u0131\u015fan ekipmanlar\u0131 tespit etmek i\u00e7in yap\u0131land\u0131r\u0131lm\u0131\u015f yaz\u0131l\u0131m ile bas\u0131n\u00e7 kontrol edilerek \u015febeke y\u00f6netimi ger\u00e7ekle\u015ftiriliyor. Aktif terfi merkezlerini otomatik olarak optimize<\/strong> edebilen sistem, enerji t\u00fcketimini azalt\u0131yor<\/strong>. Ayn\u0131 zamanda terfi merkezleri t\u00fcketici talebiyle uyumlu hale getirilirken pik bas\u0131n\u00e7lar\u0131n \u00f6n\u00fcne ge\u00e7ilmesi, da\u011f\u0131t\u0131m ekipman\u0131n\u0131n daha az gerilime tabi tutulmas\u0131 ve buna ba\u011fl\u0131 olarak da bak\u0131m ihtiya\u00e7lar\u0131n\u0131n azalmas\u0131 sa\u011flan\u0131yor.<\/p>\n

Otomatikle\u015ftirilmi\u015f izleme ve raporlama ile proaktif kullan\u0131m, verimli y\u00f6netim<\/strong><\/h3>\n

\u015eehirlerdeki su \u015febekesinin verimli bir \u015fekilde y\u00f6netilmesi ancak su<\/strong> ve proses<\/strong> veri ak\u0131\u015flar\u0131n\u0131n e\u015f zamanl\u0131 al\u0131narak sistemin ger\u00e7ek zamanl\u0131 olarak takip edilmesiyle m\u00fcmk\u00fcn oluyor. Tesisler ile kontrol odas\u0131 aras\u0131nda etkili \u015fekilde yap\u0131land\u0131r\u0131lm\u0131\u015f haberle\u015fme sistemi<\/strong> de enerji t\u00fcketimi<\/strong>, su ka\u00e7aklar\u0131n\u0131n belirlenmesi<\/strong> ve varl\u0131k y\u00f6netimi<\/strong> gibi durumlarda da\u011f\u0131t\u0131m kontrol sistemlerini<\/strong> y\u00f6netmek i\u00e7in \u00f6nemli role sahip. Otomatikle\u015ftirilmi\u015f izleme s\u00fcre\u00e7leri<\/strong> ve raporlama<\/strong> ise su \u015febekesi<\/strong> personellerini monoton manuel analiz g\u00f6revlerinden kurtararak proaktif geli\u015ftirme s\u00fcre\u00e7lerine dahil edebilmeyi m\u00fcmk\u00fcn k\u0131l\u0131yor. Bu geli\u015ftirmeler i\u00e7in g\u00fc\u00e7l\u00fc bir altyap\u0131 sa\u011flayan Aquatoria\u00ae<\/strong>, farkl\u0131 uygulama senaryolar\u0131na uyarlanabilme esnekli\u011fiyle dikkat \u00e7eken Mitsubishi Electric SCADA<\/strong> tabanl\u0131 yaz\u0131l\u0131m platformu sunuyor. Verileri altyap\u0131daki de\u011fi\u015fiklikleri yans\u0131tmak i\u00e7in kolayl\u0131kla modifiye eden sistem, grafik kullan\u0131c\u0131 ara y\u00fczlerini (GUI)<\/strong> de kontrol odas\u0131 ekranlar\u0131nda<\/strong> g\u00f6steriyor.<\/p>\n

Yapay zeka ile minimum % 15 enerji tasarrufu sa\u011flan\u0131yor<\/strong><\/h3>\n

Ya\u015fam\u0131n temel kayna\u011f\u0131 suyu teknolojiye entegre eden Mitsubishi Electric\u2019in Aquatoria\u00ae algoritmas\u0131, sistemdeki y\u00f6netim ve optimizasyonu yapay zek\u00e2 \u00f6zelli\u011fiyle sa\u011fl\u0131yor. Yapa zek\u00e2, sistemi olu\u015fturan 6 farkl\u0131 yaz\u0131l\u0131m mod\u00fcl\u00fcnden biri olan \u201cAdaptif Kontrol Mod\u00fcl\u00fc\u201d<\/strong> i\u00e7inde \u00e7al\u0131\u015f\u0131yor. Sistemin geli\u015fmi\u015f bili\u015fsel zek\u00e2s\u0131, \u00f6zellikle birden fazla de\u011fi\u015fkenin rol oynad\u0131\u011f\u0131 senaryolarda daha iyi sonu\u00e7lar \u00fcretilmesini sa\u011fl\u0131yor. \u00d6rne\u011fin; boru hatt\u0131na hizmet veren bir dizi derin kuyu pompas\u0131<\/strong> sabit matematik modellerle y\u00f6netildi\u011finde iyi \u00e7al\u0131\u015fmazken, Aquatoria\u00ae<\/strong> \u201cfuzzy logic \/ duruma uygun davranma\u201d<\/strong> algoritmalar\u0131yla uyumla\u015ft\u0131rma sa\u011fland\u0131\u011f\u0131nda minimum y\u00fczde 15<\/strong> enerji tasarrufu elde edildi\u011fi g\u00f6r\u00fcl\u00fcyor.<\/p>\n

D\u00fcnya kentlerinde referans projelere imza at\u0131yor<\/strong><\/h3>\n

D\u00fcnyan\u0131n farkl\u0131 \u015fehirlerinde referans projeler hayata ge\u00e7iren Mitsubishi Electric; Belarus<\/strong>\u2019ta 1,9 milyonluk n\u00fcfuslu Minsk<\/strong> \u015fehrinin yan\u0131 s\u0131ra bir\u00e7ok farkl\u0131 kentin su y\u00f6netiminde<\/strong> \u00e7\u00f6z\u00fcm ortakl\u0131\u011f\u0131 yapt\u0131. Yine Belarus\u2019ta 360 bin<\/strong> n\u00fcfuslu Mogilev, 510 bin<\/strong> n\u00fcfuslu Gomel ve 116 bin<\/strong> n\u00fcfuslu Orsha \u015fehirlerinde kurdu\u011fu ak\u0131ll\u0131 su y\u00f6netim sistemleri<\/strong>yle kamu hizmeti sa\u011flayan \u015firket, \u015febekelerin \u00e7al\u0131\u015fma performans\u0131<\/strong>n\u0131 \u00f6nemli d\u00fczeyde y\u00fckselterek s\u0131z\u0131nt\u0131lar\u0131<\/strong> ve enerji kullan\u0131m\u0131n\u0131<\/strong> da azaltt\u0131<\/p>","protected":false},"excerpt":{"rendered":"

Sorry, this entry is only available in Turkish. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. Su kaynaklar\u0131n\u0131n temini, toplanmas\u0131 ve y\u00f6netilmesi \u00f6zellikle b\u00fcy\u00fck \u015febekelerin s\u00f6z konusu oldu\u011fu kentlerde zorluklar\u0131 da beraberinde getiriyor. Yapay zeka, veri analiti\u011fi, regresyon […]<\/p>\n","protected":false},"author":1,"featured_media":152148,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[53],"tags":[101614,101615,103,101613,101616,45188,101612,2979,101617,88294,30764],"views":102,"_links":{"self":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/152145"}],"collection":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/comments?post=152145"}],"version-history":[{"count":0,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/152145\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media\/152148"}],"wp:attachment":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media?parent=152145"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/categories?post=152145"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/tags?post=152145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}