{"id":8503,"date":"2025-10-30T11:11:50","date_gmt":"2025-10-30T15:11:50","guid":{"rendered":"https:\/\/wipware.com\/?p=8503"},"modified":"2026-09-14T15:36:19","modified_gmt":"2026-09-14T19:36:19","slug":"evaluating-rock-comminution-from-pre-blast-to-post-blast-and-through-mineral-processing","status":"publish","type":"post","link":"https:\/\/wipware.com\/tr\/kb\/evaluating-rock-comminution-from-pre-blast-to-post-blast-and-through-mineral-processing\/","title":{"rendered":"Patlatma \u00d6ncesi, Patlatma Sonras\u0131 ve Mineral \u0130\u015fleme S\u00fcreci Boyunca Kaya K\u0131rma \u0130\u015fleminin De\u011ferlendirilmesi"},"content":{"rendered":"

Patlatma \u0130\u015flemlerinde Enerji Verimlili\u011fi De\u011ferlendirmesinin Gereklili\u011fi<\/strong><\/h3>\n\n\n\n

G\u00fcn\u00fcm\u00fcz madencilik ve ta\u015f oca\u011f\u0131 i\u015fletmelerinde enerji verimlili\u011fi en acil sorunlardan biri olmaya devam etmektedir. K\u0131rma i\u015fleminin ilk ad\u0131m\u0131 olan patlatma, mineral \u00fcretiminde toplam enerjinin \u00f6nemli bir b\u00f6l\u00fcm\u00fcn\u00fc t\u00fcketmektedir. Ancak patlatma verimlili\u011finin ger\u00e7ek \u00f6l\u00e7\u00fcs\u00fc, kayan\u0131n nas\u0131l k\u0131r\u0131ld\u0131\u011f\u0131 de\u011fil, ortaya \u00e7\u0131kan par\u00e7alanman\u0131n k\u0131rma ve \u00f6\u011f\u00fctme gibi sonraki s\u00fcre\u00e7leri ne kadar iyi destekledi\u011fidir.<\/p>\n\n\n\n

Bu nedenle, \u00f6zellikle par\u00e7alanma analizi yoluyla, patlatmada enerji kullan\u0131m\u0131n\u0131 de\u011ferlendirmek ve nicelle\u015ftirmek i\u00e7in bir araca ihtiya\u00e7 duyulmaktad\u0131r. M\u00fchendisler, par\u00e7alanm\u0131\u015f kaya boyutlar\u0131n\u0131 ge\u00e7en y\u00fczde cinsinden analiz ederek, belirli bir patlatma tasar\u0131m\u0131n\u0131n patlay\u0131c\u0131 enerjiyi kaya k\u0131r\u0131lmas\u0131na ne kadar etkili bir \u015fekilde d\u00f6n\u00fc\u015ft\u00fcrd\u00fc\u011f\u00fcn\u00fc de\u011ferlendirebilirler. Y\u00fck, aral\u0131k, patlay\u0131c\u0131 madde da\u011f\u0131l\u0131m\u0131 ve ba\u015flatma zamanlamas\u0131 gibi kontrol edilebilir parametreler, patlay\u0131c\u0131 enerjinin kaya k\u00fctlesi i\u00e7inde nas\u0131l da\u011f\u0131ld\u0131\u011f\u0131n\u0131 belirledi\u011finden, par\u00e7alanmay\u0131 anlamak, bu parametrelerin kaya yap\u0131s\u0131 ve s\u00fcreksizlikler gibi kontrol edilemeyen fakt\u00f6rlerle nas\u0131l etkile\u015fimde bulundu\u011funu belirlemeye yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

WipWare: Kaya Boyutu De\u011ferlendirmesi \u0130\u00e7in K\u00fcresel Cetvel<\/strong><\/h3>\n\n\n\n

WipWare Inc., kaya boyut \u00f6l\u00e7\u00fcm\u00fc ve par\u00e7alanma analizi alan\u0131nda d\u00fcnya lideri olarak tan\u0131nmaktad\u0131r. kaya boyutunu \u00f6l\u00e7mek i\u00e7in cetvel<\/em>, WipWare \u015funlar\u0131 sa\u011flar: yenilik\u00e7i ara\u00e7lar<\/a> Patlama \u00f6ncesinden patlama sonras\u0131na ve mineral i\u015fleme a\u015famalar\u0131na kadar par\u00e7ac\u0131k boyutu da\u011f\u0131l\u0131mlar\u0131n\u0131 (PSD) \u00f6l\u00e7en ve s\u00fcre\u00e7 optimizasyonu i\u00e7in s\u00fcrekli bir geri bildirim d\u00f6ng\u00fcs\u00fc olu\u015fturan sistemler.<\/p>\n\n\n

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\"Madencilikten<\/figure>\n<\/div>\n\n\n

WipJoint ile Patlama \u00d6ncesi De\u011ferlendirme<\/strong><\/h3>\n\n\n\n

Patlatma i\u015fleminden \u00f6nce jeolojik ko\u015fullar\u0131 anlamak, par\u00e7alanma sonu\u00e7lar\u0131n\u0131 tahmin etmek i\u00e7in \u00e7ok \u00f6nemlidir. Kaya k\u00fctlesi s\u00fcreksizli\u011fi ile par\u00e7alanma potansiyeli aras\u0131ndaki bo\u015flu\u011fu kapatmak i\u00e7in WipWare, 1990 y\u0131l\u0131nda Dr. Norbert Maerz, Dr. John Franklin ve Dr. Tom Palangio taraf\u0131ndan geli\u015ftirilen WipJoint teknolojisini yeniden kullan\u0131ma sundu.<\/p>\n\n\n\n

WipJoint, kullan\u0131c\u0131lar\u0131n kaya y\u00fczeylerinin dijital g\u00f6r\u00fcnt\u00fclerinden kaya eklemlerinin g\u00f6r\u00fcn\u00fcr aral\u0131\u011f\u0131n\u0131, g\u00f6r\u00fcn\u00fcr y\u00f6nelimini, RQD'sini ve g\u00f6r\u00fcn\u00fcr yerinde blok boyutunu de\u011ferlendirmelerini sa\u011flar. Bu patlatma \u00f6ncesi bilgiler, yap\u0131sal ko\u015fullar\u0131 patlatma sonras\u0131 par\u00e7alanma sonu\u00e7lar\u0131yla ili\u015fkilendirmek i\u00e7in paha bi\u00e7ilmezdir. Eklem \u00f6zelliklerini analiz ederek, maden m\u00fchendisleri kaya k\u00fctlesi i\u00e7inde optimum enerji da\u011f\u0131l\u0131m\u0131n\u0131 sa\u011flamak i\u00e7in patlatma tasar\u0131mlar\u0131n\u0131 iyile\u015ftirebilir, b\u00f6ylece par\u00e7alanmay\u0131 art\u0131rabilir ve sonraki \u00f6\u011f\u00fctme a\u015famalar\u0131nda enerji israf\u0131n\u0131 azaltabilirler.<\/p>\n\n\n

\n
\"Patlatma<\/figure>\n<\/div>\n\n\n

WipFrag ile Patlama Sonras\u0131 Par\u00e7alanma Analizi<\/strong><\/h3>\n\n\n\n

Patlatma i\u015flemi tamamland\u0131ktan sonra, WipFrag<\/a> WipFrag, par\u00e7alanma sonu\u00e7lar\u0131n\u0131 de\u011ferlendirmek i\u00e7in en g\u00fcvenilir ve verimli y\u00f6ntemi sunar. Geli\u015fmi\u015f g\u00f6r\u00fcnt\u00fc analizini kullanarak, WipFrag par\u00e7alanm\u0131\u015f kaya y\u0131\u011f\u0131nlar\u0131n\u0131n par\u00e7ac\u0131k boyutu da\u011f\u0131l\u0131m\u0131n\u0131 (PSD) hesaplar ve sonu\u00e7lar\u0131 birincil k\u0131r\u0131c\u0131n\u0131n a\u00e7\u0131kl\u0131\u011f\u0131 gibi hedef boyutlarla kar\u015f\u0131la\u015ft\u0131r\u0131r.<\/p>\n\n\n\n

Bu \u00f6zellik, farkl\u0131 patlatma tasar\u0131mlar\u0131 aras\u0131nda niceliksel kar\u015f\u0131la\u015ft\u0131rma yap\u0131lmas\u0131na olanak tan\u0131yarak, enerji verimlili\u011fi ve k\u0131r\u0131c\u0131 uyumlulu\u011fu i\u00e7in en iyi par\u00e7alanmay\u0131 sa\u011flayan parametrelerin belirlenmesine yard\u0131mc\u0131 olur. WipFrag, spesifikasyon zarflar\u0131 ve kaya par\u00e7as\u0131 tespiti gibi ara\u00e7larla, patlatman\u0131n sonraki i\u015flemler i\u00e7in istenen malzeme boyutunu ve \u015feklini \u00fcretip \u00fcretmedi\u011fini de\u011ferlendirmeyi m\u00fcmk\u00fcn k\u0131lar.<\/p>\n\n\n\n

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

Reflex 6 ile Ta\u015f\u0131ma S\u0131ras\u0131nda Malzeme De\u011ferlendirmesi<\/strong><\/h3>\n\n\n\n

Par\u00e7alanma kontrol\u00fc, at\u0131k y\u0131\u011f\u0131n\u0131yla s\u0131n\u0131rl\u0131 kalmaz. Ta\u015f\u0131ma s\u0131ras\u0131nda, WipWare'in sistemi Reflex<\/a> Analizi her bir malzeme y\u00fck\u00fcne kadar geni\u015fletir. Y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc kameralar ve yerle\u015fik bir bilgisayarla donat\u0131lm\u0131\u015f olan Reflex, malzemenin kamyona y\u00fcklenirken veya k\u0131r\u0131c\u0131 haznesine veya stok alan\u0131na bo\u015falt\u0131l\u0131rken, ta\u015f\u0131ma halindeki malzemenin ger\u00e7ek zamanl\u0131 g\u00f6r\u00fcnt\u00fclerini yakalar.<\/p>\n\n\n\n

Bu teknoloji, her patlatma tezgah\u0131ndan malzeme kalitesinin s\u00fcrekli olarak izlenmesini sa\u011flayarak operat\u00f6rlere par\u00e7alanma boyutu, \u015fekli, homojenli\u011fi ve cevher t\u00fcr\u00fc \u00e7e\u015fitlili\u011fi hakk\u0131nda de\u011ferli veriler sunar. Reflex sistemi b\u00f6ylece ara\u00e7 y\u00fck\u00fc de\u011ferlendirme platformu g\u00f6revi g\u00f6rerek hi\u00e7bir y\u00fck\u00fcn analiz edilmeden kalmamas\u0131n\u0131 sa\u011flar.<\/p>\n\n\n

\n
\"Bir<\/figure>\n<\/div>\n\n\n

Solo 6 ile Konvey\u00f6r Bant \u0130zleme ve Proses Optimizasyonu<\/strong><\/h3>\n\n\n\n

Mineral i\u015fleme a\u015famas\u0131nda, WipWare Solo<\/a> \u00d6\u011f\u00fctme izleme alan\u0131nda devrim yarat\u0131yor. Konvey\u00f6r bantlar\u0131n\u0131n \u00fczerine monte edilen Solo, k\u0131r\u0131c\u0131ya beslenen veya \u00fcr\u00fcn olarak \u00e7\u0131kan malzemenin boyut da\u011f\u0131l\u0131m\u0131n\u0131 s\u00fcrekli olarak analiz eder. Bu ak\u0131ll\u0131 sistem, operat\u00f6rlere canl\u0131 geri bildirim sa\u011flayarak, s\u00fcre\u00e7 optimizasyonu i\u00e7in ger\u00e7ek zamanl\u0131 kararlar almalar\u0131n\u0131 sa\u011flar.<\/p>\n\n\n\n

Solo, Modbus TCP ve OPC UA gibi mevcut proses kontrol sistemleriyle sorunsuz bir \u015fekilde entegre olarak tesis kontrol a\u011flar\u0131yla do\u011frudan ileti\u015fim sa\u011flar. Bu sayede otomatik k\u0131r\u0131c\u0131 aral\u0131\u011f\u0131 ayar\u0131, SAG de\u011firmeni besleme kontrol\u00fc ve y\u00fck dengelemesi yap\u0131larak tesisin optimum s\u0131n\u0131rlar i\u00e7inde \u00e7al\u0131\u015fmas\u0131 sa\u011flan\u0131r.<\/p>\n\n\n\n

Solo, tutarl\u0131 besleme boyutunu koruyarak ve \u00e7al\u0131\u015fma parametrelerini buna g\u00f6re ayarlayarak, yatak bas\u0131nc\u0131n\u0131 en aza indirmeye, astar a\u015f\u0131nmas\u0131n\u0131 azaltmaya, verimlili\u011fi art\u0131rmaya ve \u00f6\u011f\u00fctme devresi boyunca genel enerji verimlili\u011fini iyile\u015ftirmeye yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

WipWare teknolojisi, patlatma \u00f6ncesi jeolojik de\u011ferlendirmeden (WipJoint), patlatma sonras\u0131 par\u00e7alanma de\u011ferlendirmesine (WipFrag), ta\u015f\u0131ma de\u011ferlendirmesine (Reflex) ve i\u015fleme kontrol\u00fcne (Solo) kadar, \u00f6\u011f\u00fctme zincirinin her a\u015famas\u0131n\u0131 kapsayan tamamen entegre bir \u00e7\u00f6z\u00fcm paketi sunar. Her ad\u0131m\u0131 nicelle\u015ftirerek ve birbirine ba\u011flayarak, WipWare madenlerin t\u00fcm operasyon boyunca enerji kullan\u0131m\u0131n\u0131 \u00f6l\u00e7melerini, izlemelerini ve optimize etmelerini sa\u011flar. Sonu\u00e7 olarak, daha ak\u0131ll\u0131 patlatma, iyile\u015ftirilmi\u015f k\u0131r\u0131c\u0131 verimlili\u011fi ve mineral i\u015flemeye daha s\u00fcrd\u00fcr\u00fclebilir bir yakla\u015f\u0131m elde edilir ve enerji verimli \u00f6\u011f\u00fctme nihai hedefine ula\u015f\u0131l\u0131r.<\/p>\n\n\n

\n
\"Konvey\u00f6r<\/figure>\n<\/div>\n\n\n

WipWare \u00c7\u00f6z\u00fcmlerinin Madenden K\u0131rma Tesisine Uygulamas\u0131<\/strong>: dstgroup Ta\u015f Oca\u011f\u0131'nda Vaka \u00c7al\u0131\u015fmas\u0131<\/strong><\/h3>\n\n\n\n

Bu \u00e7al\u0131\u015fma, patlatma ve birincil k\u0131rma i\u015flemleri aras\u0131ndaki aray\u00fcz\u00fcn optimizasyonuna odaklanan \u00fc\u00e7 b\u00f6l\u00fcml\u00fck bir ara\u015ft\u0131rma serisinin \u00fc\u00e7\u00fcnc\u00fc a\u015famas\u0131n\u0131 sunmaktad\u0131r. Portekiz'deki dstgroup agrega oca\u011f\u0131<\/a>, WipWare \u00e7\u00f6z\u00fcmlerini kullanarak, temel ama\u00e7, par\u00e7ac\u0131k boyutu da\u011f\u0131l\u0131m\u0131n\u0131 (PSD) k\u0131r\u0131c\u0131 gereksinimleriyle daha iyi uyumlu hale getirmek i\u00e7in par\u00e7alanma sonu\u00e7lar\u0131n\u0131 iyile\u015ftirmek, b\u00f6ylece enerji t\u00fcketimini azaltmak ve operasyonel verimlili\u011fi art\u0131rmakt\u0131r.<\/p>\n\n\n\n

Birinci b\u00f6l\u00fcmde geli\u015ftirilen ve patlatman\u0131n k\u0131r\u0131c\u0131 \u00f6zellikleriyle uyumlulu\u011funu de\u011ferlendirmek i\u00e7in 3 boyutlu platform modellemesi ve sondaj ara\u015ft\u0131rmalar\u0131n\u0131 i\u00e7eren temel metodolojiye dayanarak, \u00e7al\u0131\u015fma, tahmin edilen ve ger\u00e7ek par\u00e7alanma sonu\u00e7lar\u0131 aras\u0131nda tutars\u0131zl\u0131klar tespit etti. \u0130kinci b\u00f6l\u00fcmde, alt sondaj derinli\u011finin azalt\u0131lmas\u0131 ve dolgu malzemesinin de\u011fi\u015ftirilmesi gibi hedefli ayarlamalar uyguland\u0131 ve D80, maksimum par\u00e7a boyutu ve genel patlatma verimlili\u011finde \u00f6l\u00e7\u00fclebilir iyile\u015ftirmeler sa\u011fland\u0131. Bununla birlikte, baz\u0131 patlatma s\u0131ralar\u0131nda kaya par\u00e7alar\u0131n\u0131n olu\u015fumu devam etti ve bu da daha fazla optimizasyonu gerektirdi.<\/p>\n\n\n\n

Bu a\u015famada ekip, iyile\u015ftirilmi\u015f sondaj ve patlatma d\u00fczenleri, art\u0131r\u0131lm\u0131\u015f dolgu boyutu (D80 12 mm'den 21 mm'ye) ve uzunlu\u011fu (1,8 m'den 2 m'ye), geli\u015ftirilmi\u015f sondaj do\u011frulu\u011fu ve ayarlanm\u0131\u015f delikler aras\u0131 zamanlama dahil olmak \u00fczere kalan \u00f6nerileri uygulad\u0131. Patlatma performans\u0131n\u0131 de\u011ferlendirmek i\u00e7in y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc drone g\u00f6r\u00fcnt\u00fcleri ve nokta nokta patlatma \u00f6l\u00e7\u00fcmleri O-PitSurface sim\u00fclasyonlar\u0131na entegre edildi. WipFrag<\/a> Ayr\u0131nt\u0131l\u0131 par\u00e7ac\u0131k boyutu analizi i\u00e7in yaz\u0131l\u0131m kullan\u0131ld\u0131 ve bu sayede tasar\u0131m de\u011fi\u015fikliklerinden \u00f6nce ve sonra elde edilen par\u00e7alanma sonu\u00e7lar\u0131n\u0131n kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 m\u00fcmk\u00fcn oldu.<\/p>\n\n\n\n

Sonu\u00e7lar \u00f6nemli kazan\u0131mlar g\u00f6sterdi: D50 19%, D80 ve D95 s\u0131ras\u0131yla 20% ve 23% azald\u0131 ve maksimum par\u00e7ac\u0131k boyutu 3% azald\u0131; bu da a\u015f\u0131r\u0131 b\u00fcy\u00fck malzemeler \u00fczerinde daha iyi kontrol sa\u011fland\u0131\u011f\u0131n\u0131 g\u00f6steriyor. Par\u00e7alanma verimlili\u011fi 21%'den fazla iyile\u015fti ve homojenlik indeksi 16% artt\u0131; bu da daha tutarl\u0131 ve tahmin edilebilir par\u00e7ac\u0131k boyutu da\u011f\u0131l\u0131m\u0131n\u0131 yans\u0131t\u0131yor. Dolgu malzemesi ve uzunlu\u011fundaki ayarlamalar, enerji hapsini art\u0131rarak erken patlamay\u0131 en aza indirdi ve patlatma kolonu boyunca e\u015fit enerji da\u011f\u0131l\u0131m\u0131n\u0131 te\u015fvik etti.<\/p>\n\n\n\n

Birincil k\u0131r\u0131c\u0131 \u00fczerindeki Reflex sistemi ile yap\u0131lan maden ak\u0131\u015f\u0131 izlemesi, ger\u00e7ek zamanl\u0131 par\u00e7ac\u0131k boyutu da\u011f\u0131l\u0131m\u0131 (PSD) analizi sa\u011flayarak, par\u00e7alanmada ve k\u0131r\u0131c\u0131 besleme tutarl\u0131l\u0131\u011f\u0131nda s\u00fcrekli iyile\u015fmeyi do\u011frulad\u0131. Alt\u0131 ayl\u0131k bir s\u00fcre boyunca, temel boyut da\u011f\u0131l\u0131m\u0131 \u00f6l\u00e7\u00fctleri s\u00fcrekli olarak a\u015fa\u011f\u0131 y\u00f6nl\u00fc bir e\u011filim g\u00f6stererek, yinelemeli patlatma parametre ayarlamalar\u0131n\u0131n etkinli\u011fini do\u011frulad\u0131 ve veri odakl\u0131, entegre maden-k\u0131r\u0131c\u0131 stratejilerinin de\u011ferini g\u00f6sterdi.<\/p>\n\n\n\n

Sonu\u00e7 olarak, bu \u00e7al\u0131\u015fma, WipFrag, Reflex ve O-PitSurface dahil olmak \u00fczere WipWare \u00e7\u00f6z\u00fcmlerinin, ta\u015f oca\u011f\u0131 i\u015fletmelerinin par\u00e7alanmay\u0131 optimize etmesine, b\u00fcy\u00fck boyutlu ve ince taneli malzemeleri azaltmas\u0131na, k\u0131r\u0131c\u0131 uyumlulu\u011funu iyile\u015ftirmesine ve genel operasyonel verimlili\u011fi art\u0131rmas\u0131na nas\u0131l olanak sa\u011flad\u0131\u011f\u0131n\u0131 g\u00f6stermektedir. Madenden k\u0131r\u0131c\u0131ya kadar olan \u00e7er\u00e7eve, enerji verimli, \u00f6ng\u00f6r\u00fclebilir ve y\u00fcksek performansl\u0131 patlatma-k\u0131r\u0131c\u0131 entegrasyonu i\u00e7in tekrarlanabilir bir model g\u00f6revi g\u00f6rmektedir.<\/p>\n\n\n

\n
\"Patlaman\u0131n<\/figure>\n<\/div>\n\n
\n
\"Sonu\u00e7:<\/figure>\n<\/div>\n\n\n

Makalenin tamam\u0131n\u0131 burada okuyabilirsiniz: Ta\u015f ocaklar\u0131 i\u00e7in madenden k\u0131rma tesisine kadar olan \u00e7er\u00e7eve<\/a><\/p>","protected":false},"excerpt":{"rendered":"

The Need for Energy Efficiency Assessment in Blasting In today\u2019s mining and quarrying operations, energy efficiency remains one of the most pressing challenges. Blasting, being the first step in the comminution process, consumes a significant portion of total energy in mineral production. Yet, the true measure of blasting efficiency is not merely how rock is […]<\/p>\n","protected":false},"author":6,"featured_media":8521,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[91],"tags":[93,94,58],"class_list":["post-8503","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kb","tag-reflex","tag-solo","tag-wipfrag"],"acf":{"related_posts":[{"ID":479,"post_author":"6","post_date":"2026-03-10 10:00:00","post_date_gmt":"2026-03-10 14:00:00","post_content":"\n

<\/path><\/svg><\/span><\/span>Estimated reading time: <\/span>4<\/span> minutes<\/span><\/p>\n\n\n\n\n\n

WipWare <\/a>has been in the image analysis business for over 30 years commercially. We\u2019ve seen a wide range of mining and aggregate sites, all with their unique challenges. One thing that stays consistent with every operation is the need to reduce particle sizes to ideal sizes for either the extraction of minerals, or for more practical uses (road building, etc.)<\/p>\n\n\n\n

Blasting, crushing and grinding material down to an optimal size is difficult to do. When you tie in trying to be efficient at the same time, production rates can fluctuate quite easily. It\u2019s very hard to track how well the \u2018rock breaking\u2019 is going.<\/p>\n\n\n\n

Queue sieving!<\/h2>\n\n\n\n

Manual sieving has been around for thousands of years. Nowadays, the accuracy of these sieve analysis methods is quite impressive: stop your belt, take a cut, bring material to the lab, put it in the sieve shaker, and voila! In a few hours you have your result. What could be better?<\/p>\n\n\n\n

Well, let\u2019s back it up a little and investigate. Manual sieve samples are very accurate for the sample itself. However, if you use manual sampling to track, say, relative changes, you are putting a lot of faith in that one belt cut of material representing hundreds\/thousands of tons of material.<\/p>\n\n\n\n

Manual Sieving vs Continuous Monitoring <\/h2>\n\n\n\n

You may notice why WipWare systems are really taking a hold in the mining and aggregate industries:<\/strong> No one will ever argue that a manually sieving a sample is not accurate; but here is a scenario I want you to consider:<\/p>\n\n\n\n

You take a sample of a 1-meter belt cut every shift for analysis. When the crusher supplier asks for the material size going into the secondary crusher, you hand him\/her the beautiful distribution curves with the data points in the Excel file. Based on the data, he\/she decides \u201cbased on your material size, you need this kind of crusher\/liner\/product\u201d.<\/p>\n\n\n\n

Do those manual samples accurately represent the hundreds or thousands of tons passing through your process? What if the sample you took happened to be finer than what was typical? Chances are, as granulometry guru Jack Eloranta, of Eloranta & Associates<\/a> calculates, misrepresentation could be possible.<\/p>\n\n\n\n

Take a look:<\/p>\n\n\n\n

Assume:<\/p>\n\n\n\n

400 TPH<\/p>\n\n\n\n

6 m\/s<\/p>\n\n\n\n

1 meter belt sample per shift<\/p>\n\n\n\n

Belt travels 1 meter in 0.17 seconds<\/p>\n\n\n\n

0.17 sec x 1 hr\/3600 sec x 400 t\/hr = .019 tons <\/p>\n\n\n\n

.019 t\/(8 x 400) t = .0000059<\/p>\n\n\n\n

Really, when you look at how representative a manual sample is, you are looking at 0.00059% of your conveyor material in this example.<\/p>\n\n\n\n

With a percentage like that, I\u2019ll take continuous, non-disruptive particle sizing any day.<\/p>\n\n\n\n

So let\u2019s summarize so far: Manual sieving accurately measures the sampled material but may not represent the material continuously running through your process.<\/p>\n\n\n\n

What\u2019s WipWare\u2019s role in all of this?<\/strong><\/h2>\n\n\n\n

Well, it\u2019s really a complementary thing. WipWare is the ying to sieving\u2019s yang, the Sunny to sieving\u2019s Cher\u2026I\u2019ll stop now.<\/p>\n\n\n\n

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

WipWare\u2019s systems offer continuous monitoring of material. That\u2019s right. 24\/7\/365 analysis of the most important part of the mining process; the whole reason billions upon billions of dollars are spent each year; the reason why mine and mill employees have a love\/hate relationship \u2013 the size of material! Manual sieve results can be tied into the WipWare data using Rosin-Rammler or Swebrec functions, covering both the quantity of data needed for accurate analysis, with the quality manual sample information.<\/p>\n\n\n\n

WipWare\u2019s systems offer continuous monitoring of material. That\u2019s right. 24\/7\/365 analysis of the most important part of the mining process; the whole reason billions upon billions of dollars are spent each year; the reason why mine and mill employees have a love\/hate relationship \u2013 the size of material! Manual sieve results can be tied into the WipWare data using Rosin-Rammler or Swebrec functions, covering both the quantity of data needed for accurate analysis, with the quality manual sample information.<\/p>\n","post_title":"Continuous Monitoring Through Photoanalysis","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"open","post_password":"","post_name":"continuous-monitoring-through-photoanalysis","to_ping":"","pinged":"","post_modified":"2026-09-14 15:24:49","post_modified_gmt":"2026-09-14 19:24:49","post_content_filtered":"","post_parent":0,"guid":"http:\/\/wipware.com\/?p=479","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":8440,"post_author":"20","post_date":"2025-10-09 23:30:31","post_date_gmt":"2025-10-10 03:30:31","post_content":"\n

WipJoint is Back and Better Than Ever!<\/em><\/h3>\n\n\n\n

We\u2019re excited to announce the newest update to WipFrag 4<\/a> <\/strong>\u2013 bringing back and modernizing one of our most powerful features: WipJoint<\/strong>. WipJoint was originally part of WipFrag 2.7, but never reached the full functionality we wanted for it due to limitations with what software and camera hardware could do back in those days. Now with the added capabilities of today's technology we have reimagined and reintegrated this powerful tool into WipFrag to give you even more reasons to use WipFrag!<\/p>\n\n\n\n

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

What\u2019s New in This Release:<\/strong><\/strong><\/h3>\n\n\n\n

WipJoint Returns<\/strong> \u2013 redesigned with an intuitive new interface for assessing highwalls, measuring Rock Quality Designation (RQD), mapping joint planes and persistence, and determining apparent orientation and in-situ block sizes.<\/p>\n\n\n\n

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

Simply change to the WipJoint view on your analysis card by right-clicking on the chart (tap + hold for mobile).<\/em><\/p>\n\n\n\n

BlastCast Relocates<\/strong> \u2013 We've moved the selection for the BlastCast feature to the same analysis card chart options, next to WipJoint, for faster access and a cleaner workflow for our users.<\/p>\n\n\n\n

Three Aspects, One Platform<\/h3>\n\n\n\n

Now WipFrag lets you monitor 3 key aspects of your process:<\/strong><\/p>\n\n\n\n