{"id":476594,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:02","modified_gmt":"2023-09-05T11:13:02","slug":"data-acquisition","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-acquisition\/","title":{"rendered":"Veri toplama"},"content":{"rendered":"<p>Veri toplama, ger\u00e7ek d\u00fcnyadaki fiziksel ko\u015fullar\u0131 \u00f6l\u00e7en sinyallerin \u00f6rneklenmesi ve elde edilen \u00f6rneklerin bilgisayar taraf\u0131ndan y\u00f6netilebilecek dijital say\u0131sal de\u011ferlere d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi s\u00fcrecini ifade eder. Bu sinyaller fiziksel veya kimyasal sens\u00f6rler, mikrofonlar, g\u00f6r\u00fcnt\u00fcler veya manuel giri\u015fler gibi \u00e7e\u015fitli kaynaklardan gelebilir. Veriler d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fckten sonra karar verme, tahminler ve kontrol s\u00fcre\u00e7leri gibi \u00e7e\u015fitli ama\u00e7lar i\u00e7in analiz edilir ve yorumlan\u0131r.<\/p>\n<h2>Veri Toplaman\u0131n Do\u011fu\u015fu ve Evrimi<\/h2>\n<p>Veri toplama, bir kavram olarak, insanlar\u0131n g\u00f6zlemleri kaydetmeye ba\u015flamas\u0131ndan bu yana var. \u0130lk insanlar hayatta kalma ve \u00f6\u011frenme amac\u0131yla mevsimsel de\u011fi\u015fiklikleri, hayvan davran\u0131\u015flar\u0131n\u0131 ve di\u011fer do\u011fal olaylar\u0131 kaydediyordu. Veri toplaman\u0131n ilk teknolojik uygulamas\u0131n\u0131n izleri, mesajlar\u0131n uzun mesafelere iletilmesi i\u00e7in Mors alfabesinin kullan\u0131ld\u0131\u011f\u0131 19. y\u00fczy\u0131lda telgraf\u0131n ilk g\u00fcnlerine kadar uzanabilir.<\/p>\n<p>Ancak modern veri toplama, 20. y\u00fczy\u0131l\u0131n ortalar\u0131nda veri kaydedicilerin geli\u015ftirilmesiyle ba\u015flam\u0131\u015ft\u0131r. Bu makineler zaman i\u00e7inde \u00e7evresel fakt\u00f6rlerdeki de\u011fi\u015fiklikleri kaydedebiliyor. Ki\u015fisel bilgisayar\u0131n piyasaya s\u00fcr\u00fclmesi, veri toplamada devrim yaratarak onu daha eri\u015filebilir ve \u00e7ok y\u00f6nl\u00fc hale getirdi.<\/p>\n<p>Veri toplaman\u0131n dijitalle\u015ftirilmesi, Analogdan Dijitale D\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fclerin (ADC&#039;ler) geli\u015ftirilmesi ve sens\u00f6rlerin evrimi ile h\u0131zland\u0131r\u0131ld\u0131. \u0130nternetin, IoT cihazlar\u0131n\u0131n ve bulut depolaman\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131, veri toplamay\u0131 21. y\u00fczy\u0131lda benzeri g\u00f6r\u00fclmemi\u015f bir \u00f6l\u00e7e\u011fe ta\u015f\u0131d\u0131.<\/p>\n<h2>Konuyu Geni\u015fletmek: Veri Toplama<\/h2>\n<p>Veri toplama \u00fc\u00e7 ana bile\u015feni i\u00e7erir: sens\u00f6rler, sinyal ko\u015fulland\u0131rma ve analogdan dijitale d\u00f6n\u00fc\u015ft\u00fcrme.<\/p>\n<ul>\n<li><strong>Sens\u00f6rler:<\/strong> Bu cihazlar s\u0131cakl\u0131k, bas\u0131n\u00e7 veya \u0131\u015f\u0131k yo\u011funlu\u011fu gibi fiziksel olaylardaki de\u011fi\u015fiklikleri tespit ederek bu de\u011fi\u015fiklikleri elektrik sinyaline d\u00f6n\u00fc\u015ft\u00fcr\u00fcr.<\/li>\n<li><strong>Sinyal Ko\u015fulland\u0131rma:<\/strong> Bu a\u015fama, sens\u00f6r taraf\u0131ndan olu\u015fturulan sinyallerin bir sonraki a\u015famaya haz\u0131rlanmas\u0131 i\u00e7in g\u00fc\u00e7lendirilmesini, filtrelenmesini ve izole edilmesini i\u00e7erir.<\/li>\n<li><strong>Analogdan Dijitale D\u00f6n\u00fc\u015f\u00fcm (ADC):<\/strong> Bu i\u015flem, ko\u015fulland\u0131r\u0131lm\u0131\u015f analog sinyalleri, bilgisayarlar taraf\u0131ndan anla\u015f\u0131labilecek ve i\u015flenebilecek dijital sinyallere d\u00f6n\u00fc\u015ft\u00fcr\u00fcr.<\/li>\n<\/ul>\n<p>ADC&#039;den sonra dijital veriler saklanabilir, analiz edilebilir ve g\u00f6r\u00fcnt\u00fclenebilir. Veri toplama, zamana dayal\u0131 (d\u00fczenli aral\u0131klarla yakalanan veri noktalar\u0131) veya olaya dayal\u0131 (belirli bir olay meydana geldi\u011finde toplanan veri noktalar\u0131) olabilir.<\/p>\n<h2>Veri Toplaman\u0131n \u0130\u00e7 Mekani\u011fi<\/h2>\n<p>Veri toplaman\u0131n ilk ad\u0131m\u0131, sens\u00f6rler fiziksel olaylardaki de\u011fi\u015fiklikleri tespit etti\u011finde ger\u00e7ekle\u015fen veri \u00fcretimidir. \u00d6rne\u011fin bir s\u0131cakl\u0131k sens\u00f6r\u00fc bir odadaki s\u0131cakl\u0131ktaki de\u011fi\u015fikli\u011fi alg\u0131layabilir.<\/p>\n<p>S\u0131rada sinyal ko\u015fulland\u0131rma var. Sens\u00f6rler taraf\u0131ndan \u00fcretilen sinyallerin say\u0131salla\u015ft\u0131r\u0131lmadan \u00f6nce s\u0131kl\u0131kla de\u011fi\u015ftirilmesi gerekir. Bu, amplifikasyonu (sinyalin g\u00fcc\u00fcn\u00fcn artt\u0131r\u0131lmas\u0131), filtrelemeyi (istenmeyen g\u00fcr\u00fclt\u00fcn\u00fcn giderilmesi) veya di\u011fer i\u015flemleri i\u00e7erebilir.<\/p>\n<p>Daha sonra ko\u015fulland\u0131r\u0131lm\u0131\u015f analog sinyaller ADC&#039;ye tabi tutulur. Bu i\u015flem, sinyalin ayr\u0131 zaman aral\u0131klar\u0131nda \u00f6rneklenmesini ve \u00f6rneklerin bir dizi sonlu say\u0131sal de\u011fere nicelendirilmesini i\u00e7erir.<\/p>\n<p>Son olarak dijital veriler bir bilgisayar taraf\u0131ndan i\u015flenir. Bu, istatistiksel analiz, g\u00f6rselle\u015ftirme, depolama veya verilere dayal\u0131 olarak belirli eylemleri tetiklemeyi i\u00e7erebilir.<\/p>\n<h2>Veri Toplaman\u0131n Temel \u00d6zellikleri<\/h2>\n<ol>\n<li><strong>\u00c7ok y\u00f6nl\u00fcl\u00fck:<\/strong> Veri toplama sistemleri, \u00e7e\u015fitli sens\u00f6r t\u00fcrlerinden gelen \u00e7ok \u00e7e\u015fitli girdileri i\u015fleyecek \u015fekilde \u00f6zelle\u015ftirilebilir.<\/li>\n<li><strong>\u00d6l\u00e7eklenebilirlik:<\/strong> Daha fazla kanal\u0131, daha fazla sens\u00f6r\u00fc veya daha karma\u015f\u0131k sinyal ko\u015fulland\u0131rmay\u0131 bar\u0131nd\u0131racak \u015fekilde geni\u015fletilebilirler.<\/li>\n<li><strong>Kesinlik:<\/strong> Modern veri toplama sistemleri y\u00fcksek hassasiyet ve do\u011fruluk sunar.<\/li>\n<li><strong>Ger\u00e7ek Zamanl\u0131 \u00c7al\u0131\u015fma:<\/strong> Bir\u00e7ok sistem ger\u00e7ek zamanl\u0131 izleme ve kontrol yetenekleri sa\u011flar.<\/li>\n<li><strong>Veri Depolama ve Analizi:<\/strong> Verilerin daha sonra analiz edilmek \u00fczere saklanmas\u0131na olanak tan\u0131r ve ayn\u0131 zamanda an\u0131nda analiz yap\u0131lmas\u0131n\u0131 kolayla\u015ft\u0131r\u0131r.<\/li>\n<\/ol>\n<h2>Veri Toplama Sistemi T\u00fcrleri<\/h2>\n<table>\n<thead>\n<tr>\n<th>Tip<\/th>\n<th>\u00d6zellikler<\/th>\n<th>Ba\u015fvuru<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Tek Ba\u015f\u0131na<\/td>\n<td>Veri depolama ve kullan\u0131c\u0131 aray\u00fcz\u00fc de dahil olmak \u00fczere gerekli t\u00fcm bile\u015fenleri i\u00e7erir.<\/td>\n<td>\u00c7evresel izleme, end\u00fcstriyel proses kontrol\u00fc.<\/td>\n<\/tr>\n<tr>\n<td>Bilgisayar Tabanl\u0131<\/td>\n<td>Veri depolama, analiz ve aray\u00fcz i\u00e7in bilgisayar kullan\u0131r.<\/td>\n<td>Laboratuvar deneyleri, otomotiv testleri.<\/td>\n<\/tr>\n<tr>\n<td>Da\u011f\u0131t\u0131lm\u0131\u015f<\/td>\n<td>Birden fazla veri toplama cihaz\u0131n\u0131n birbirine ba\u011flanmas\u0131.<\/td>\n<td>B\u00fcy\u00fck \u00f6l\u00e7ekli end\u00fcstriyel s\u00fcre\u00e7ler, hava durumu izleme.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri Toplaman\u0131n Kullan\u0131m\u0131: Sorunlar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>Veri toplama sistemleri end\u00fcstriyel otomasyon, hava durumu tahmini, sa\u011fl\u0131k hizmetleri, savunma ve daha fazlas\u0131n\u0131 i\u00e7eren \u00e7ok say\u0131da sekt\u00f6rde kullan\u0131lmaktad\u0131r. Ancak bu uygulamalar sinyal g\u00fcr\u00fclt\u00fcs\u00fc, veri kayb\u0131 veya g\u00fcvenlik tehditleri gibi \u00e7e\u015fitli sorunlarla kar\u015f\u0131la\u015fabilir. \u00c7\u00f6z\u00fcmler, etkili sinyal ko\u015fulland\u0131rmay\u0131, g\u00fcvenilir depolama sistemlerinin kullan\u0131m\u0131n\u0131 ve veri g\u00fcvenli\u011fi \u00f6nlemlerinin uygulanmas\u0131n\u0131 i\u00e7erir.<\/p>\n<h2>Benzer Terimlerle Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<table>\n<thead>\n<tr>\n<th>Terim<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Veri kayd\u0131<\/td>\n<td>Zaman i\u00e7inde verilerin toplanmas\u0131n\u0131 ve depolanmas\u0131n\u0131 i\u00e7eren bir veri toplama alt k\u00fcmesi.<\/td>\n<\/tr>\n<tr>\n<td>Sinyal i\u015fleme<\/td>\n<td>Sinyallerin manip\u00fclasyonu ve analizi genellikle veri toplama sonras\u0131nda ger\u00e7ekle\u015fir.<\/td>\n<\/tr>\n<tr>\n<td>Veri aktar\u0131m\u0131<\/td>\n<td>Verilerin bir yerden ba\u015fka bir yere g\u00f6nderilmesi. Veriler uzak bir konuma g\u00f6nderiliyorsa veri toplama sisteminin bir par\u00e7as\u0131 olabilir.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri Toplamada Gelecek Perspektifleri<\/h2>\n<p>Makine \u00f6\u011frenimi ve b\u00fcy\u00fck veri analiti\u011fi gibi geli\u015fen teknolojiler, veri toplama alan\u0131nda devrim yarat\u0131yor. \u00d6rne\u011fin, makine \u00f6\u011frenimi algoritmalar\u0131 b\u00fcy\u00fck veri k\u00fcmelerindeki kal\u0131plar\u0131 tan\u0131mlamaya yard\u0131mc\u0131 olurken IoT cihazlar\u0131 yakalanabilecek verilerin kapsam\u0131n\u0131 ve \u00f6l\u00e7e\u011fini geni\u015fletiyor.<\/p>\n<p>Verilerin merkezi bir veri i\u015fleme deposu yerine kayna\u011f\u0131na yak\u0131n i\u015flenmesini i\u00e7eren u\u00e7 bili\u015fim, veri toplama konusunda da umut verici bir geli\u015fmedir. Bu, gecikmeyi ve bant geni\u015fli\u011fi kullan\u0131m\u0131n\u0131 azaltarak toplanan verilerden daha h\u0131zl\u0131 i\u00e7g\u00f6r\u00fcler sa\u011flayabilir.<\/p>\n<h2>Proxy Sunucular\u0131 ve Veri Toplama<\/h2>\n<p>Proxy sunucular\u0131, veri toplamada, \u00f6zellikle de web sitelerinden verilerin topland\u0131\u011f\u0131 web kaz\u0131mada \u00e7ok \u00f6nemli bir rol oynayabilir. Proxy sunucular\u0131 kullan\u0131c\u0131n\u0131n ger\u00e7ek IP adresini maskeleyerek veri toplama s\u00fcrecini anonim hale getirir ve web sitesi g\u00fcvenlik sistemleri taraf\u0131ndan engellenme olas\u0131l\u0131\u011f\u0131n\u0131 azalt\u0131r. Ayr\u0131ca proxy&#039;ler, isteklerin birden fazla IP adresi \u00fczerinden da\u011f\u0131t\u0131lmas\u0131na yard\u0131mc\u0131 olabilir ve b\u00f6ylece tek bir sunucunun a\u015f\u0131r\u0131 y\u00fcklenmesi riskini azaltabilir.<\/p>\n<p>G\u00fcvenilir bir proxy sunucu sa\u011flay\u0131c\u0131s\u0131 olarak OneProxy, veri toplama g\u00f6revleri i\u00e7in etkili bir \u00e7\u00f6z\u00fcm sunarak kullan\u0131c\u0131lar\u0131n dijital i\u015flemleri i\u00e7in y\u00fcksek h\u0131z, geni\u015f co\u011frafi kapsam ve sa\u011flam g\u00fcvenlik sa\u011flar.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ol>\n<li><a href=\"https:\/\/www.ni.com\/en-us\/innovations\/white-papers\/06\/what-is-data-acquisition.html\" target=\"_new\" rel=\"noopener nofollow\">Ulusal Ara\u00e7lar: Veri Toplama Nedir?<\/a><\/li>\n<li><a href=\"https:\/\/www.engineersgarage.com\/tutorials\/data-acquisition-system-das\/\" target=\"_new\" rel=\"noopener nofollow\">EngineersGarage: Veri Toplama Sistemine Ayr\u0131nt\u0131l\u0131 Bir Giri\u015f<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Data_acquisition\" target=\"_new\" rel=\"noopener nofollow\">Vikipedi: Veri Toplama<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/6757172\" target=\"_new\" rel=\"noopener nofollow\">B\u00fcy\u00fck Veri \u00c7a\u011f\u0131nda Veri Toplama<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/tr\/\" target=\"_new\" rel=\"noopener\">OneProxy: Veri Toplama i\u00e7in Proxy Sunucular\u0131<\/a><\/li>\n<\/ol>","protected":false},"featured_media":476595,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476594","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Acquisition: Harnessing Information for the Digital Age<\/mark>","faq_items":[{"question":"What is data acquisition?","answer":"<p>Data acquisition is the process of sampling signals that measure real-world physical conditions and converting these samples into digital numeric values that can be manipulated by a computer. These signals can come from various sources such as physical or chemical sensors, microphones, images, or manual inputs.<\/p>"},{"question":"How did data acquisition evolve historically?","answer":"<p>Data acquisition evolved from the recording of natural phenomena in early human history to the use of data loggers in the mid-20th century. With the advent of personal computers, Analog-to-Digital Converters (ADCs), and the internet, data acquisition has grown exponentially, enabling us to gather and analyze vast amounts of data.<\/p>"},{"question":"What are the key components involved in data acquisition?","answer":"<p>The key components in data acquisition are sensors that detect physical changes and convert them into electrical signals, signal conditioning which prepares these signals for conversion, and the Analog-to-Digital Conversion (ADC) process which converts these signals into a digital format that computers can process.<\/p>"},{"question":"What are some key features of data acquisition?","answer":"<p>Key features of data acquisition include versatility, scalability, accuracy, real-time operation, and capabilities for data storage and analysis.<\/p>"},{"question":"What types of data acquisition systems exist?","answer":"<p>There are stand-alone data acquisition systems which are self-contained units, computer-based systems which utilize a computer for data storage and interface, and distributed systems where multiple data acquisition devices are networked together.<\/p>"},{"question":"What problems can occur with data acquisition and how can they be solved?","answer":"<p>Problems with data acquisition can include signal noise, data loss, or security threats. These can be mitigated with effective signal conditioning, use of reliable storage systems, and robust data security measures.<\/p>"},{"question":"What is the future of data acquisition?","answer":"<p>The future of data acquisition is promising with advancements in machine learning, big data analytics, and edge computing. These technologies are helping to identify patterns in larger datasets and reduce latency and bandwidth use for faster insights.<\/p>"},{"question":"How are proxy servers associated with data acquisition?","answer":"<p>Proxy servers play a crucial role in data acquisition, particularly in web scraping. They mask the user's real IP address, making the data acquisition process anonymous and less likely to be blocked by website security systems. They can also help distribute requests over multiple IP addresses, reducing the risk of overloading a single server.<\/p>"},{"question":"How can OneProxy enhance data acquisition?","answer":"<p>As a reliable proxy server provider, OneProxy offers an efficient solution for data acquisition tasks, ensuring high speed, wide geographical coverage, and robust security for users' digital operations.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476594","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476594\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/476595"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476594"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}