{"id":9289,"date":"2025-12-18T14:04:55","date_gmt":"2025-12-18T19:04:55","guid":{"rendered":"https:\/\/wipware.com\/?p=9289"},"modified":"2026-09-14T15:36:19","modified_gmt":"2026-09-14T19:36:19","slug":"fragmentation-analysis-software-that-expands-your-life-of-mine-vision","status":"publish","type":"post","link":"https:\/\/wipware.com\/fr\/kb\/fragmentation-analysis-software-that-expands-your-life-of-mine-vision\/","title":{"rendered":"Logiciel d&#039;analyse de fragmentation qui \u00e9largit votre vision de la vie mini\u00e8re"},"content":{"rendered":"<p class=\"wp-block-paragraph\">L&#039;analyse de la fragmentation est un facteur d\u00e9terminant de la performance, de la rentabilit\u00e9 et de la durabilit\u00e9 des mines. La mesure et le contr\u00f4le pr\u00e9cis de la fragmentation des roches, du forage au concassage et au broyage, ont une incidence directe sur le d\u00e9bit, la consommation d&#039;\u00e9nergie, l&#039;usure des \u00e9quipements et les co\u00fbts d&#039;exploitation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/wipware.com\/fr\/\"><strong>WipWare <\/strong><\/a>Les solutions d&#039;analyse de fragmentation utilisent des technologies de pointe en traitement d&#039;images et en intelligence artificielle pour fournir des donn\u00e9es de distribution granulom\u00e9trique (PSD) de haute qualit\u00e9 et en temps r\u00e9el. Cela permet aux exploitants miniers d&#039;optimiser leurs processus tout au long de la cha\u00eene de valeur, de la mine \u00e0 l&#039;usine de traitement, tout en maximisant la rentabilit\u00e9 de la mine sur toute sa dur\u00e9e de vie.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"640\" src=\"https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/WipWare-Smart-Solutions-PC-Wallpaper-1920x1200-1-1024x640.png\" alt=\"La mienne s&#039;illuminait la nuit avec un tapis roulant et les logos de WipWare Solutions en haut. \" class=\"wp-image-9290\" style=\"width:707px;height:auto\"\/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-end-to-end-fragmentation-analysis-from-drill-to-mill\"><strong>Analyse de la fragmentation de bout en bout\u00a0: du forage au fraisage<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">WipWare propose un \u00e9cosyst\u00e8me de surveillance de la fragmentation enti\u00e8rement int\u00e9gr\u00e9, offrant une mesure pr\u00e9cise et coh\u00e9rente de la granulom\u00e9trie \u00e0 chaque \u00e9tape de la manutention des mat\u00e9riaux. En reliant les performances de dynamitage aux r\u00e9sultats de concassage et de traitement, les op\u00e9rateurs b\u00e9n\u00e9ficient d&#039;une visibilit\u00e9 et d&#039;un contr\u00f4le in\u00e9gal\u00e9s sur leur syst\u00e8me de production.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-online-conveyor-belt-fragmentation-measurement-solo-6\"><strong>Mesure en ligne de la fragmentation des bandes transporteuses \u2013 Solo 6<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Solo 6 assure une analyse continue et en ligne de la distribution granulom\u00e9trique des bandes transporteuses tout au long du circuit de broyage, notamment\u00a0:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Concasseurs primaires<\/li>\n\n\n\n<li>Concasseurs secondaires et tertiaires<\/li>\n\n\n\n<li>Concasseurs de galets<\/li>\n\n\n\n<li>\u00c9crans<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"1000\" src=\"https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp.png\" alt=\"\" class=\"wp-image-7320\" style=\"width:471px;height:auto\" srcset=\"https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp.png 1000w, https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp-300x300.png 300w, https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp-150x150.png 150w, https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp-768x768.png 768w, https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp-12x12.png 12w, https:\/\/wipware.com\/wp-content\/uploads\/2024\/08\/S-6-Solo-6-on-Conveyor1-comp-75x75.png 75w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Gr\u00e2ce aux donn\u00e9es de fragmentation en temps r\u00e9el \u00e0 n&#039;importe quel emplacement du convoyeur, Solo 6 permet aux op\u00e9rateurs de d\u00e9tecter rapidement les changements de taille de l&#039;alimentation, d&#039;optimiser les r\u00e9glages du concasseur et de maintenir des performances constantes de l&#039;installation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-real-time-pit-to-plant-fragmentation-control-reflex-6\"><strong>Contr\u00f4le en temps r\u00e9el de la fragmentation de la fosse \u00e0 l&#039;usine \u2013 Reflex 6<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Reflex 6 mesure la granulom\u00e9trie des roches apr\u00e8s dynamitage \u00e0 leur arriv\u00e9e au concasseur primaire, au silo et au stock. Ce suivi en temps r\u00e9el garantit une gestion efficace de la transition critique entre la carri\u00e8re et l&#039;usine, r\u00e9duisant ainsi la variabilit\u00e9, minimisant les blocages du concasseur et am\u00e9liorant le d\u00e9bit global.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"600\" src=\"https:\/\/wipware.com\/wp-content\/uploads\/2023\/11\/R-6-Reflex-6_Camera_Camera.png\" alt=\"Syst\u00e8me d&#039;analyse de v\u00e9hicule. Cam\u00e9ra mont\u00e9e \u00e0 l&#039;int\u00e9rieur d&#039;un bo\u00eetier \u00e0 structure tourelle.\" class=\"wp-image-7108\" style=\"width:395px;height:auto\" srcset=\"https:\/\/wipware.com\/wp-content\/uploads\/2023\/11\/R-6-Reflex-6_Camera_Camera.png 600w, https:\/\/wipware.com\/wp-content\/uploads\/2023\/11\/R-6-Reflex-6_Camera_Camera-300x300.png 300w, https:\/\/wipware.com\/wp-content\/uploads\/2023\/11\/R-6-Reflex-6_Camera_Camera-150x150.png 150w, https:\/\/wipware.com\/wp-content\/uploads\/2023\/11\/R-6-Reflex-6_Camera_Camera-12x12.png 12w, https:\/\/wipware.com\/wp-content\/uploads\/2023\/11\/R-6-Reflex-6_Camera_Camera-75x75.png 75w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-in-pit-fragmentation-analysis-wipfrag-4\"><strong>Analyse de la fragmentation en fosse \u2013 WipFrag 4<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">WipFrag est la solution de r\u00e9f\u00e9rence du secteur pour l&#039;analyse de la fragmentation apr\u00e8s tir dans les mines \u00e0 ciel ouvert et souterraines. Elle permet aux ing\u00e9nieurs de quantifier pr\u00e9cis\u00e9ment la taille des particules gr\u00e2ce \u00e0\u00a0:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>t\u00e9l\u00e9phones portables<\/li>\n\n\n\n<li>PC<\/li>\n\n\n\n<li>Drones (UAV)<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"914\" src=\"https:\/\/wipware.com\/wp-content\/uploads\/2024\/03\/cross-platform-devices-1024x914.png\" alt=\"Images de drones haute r\u00e9solution pour la d\u00e9tection de min\u00e9raux et l&#039;analyse de sites.\" class=\"wp-image-9087\" style=\"width:509px;height:auto\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">WipFrag fournit des \u00e9valuations de fragmentation rapides et fiables directement dans la fosse, facilitant la validation de la conception des tirs de mine, l&#039;analyse comparative des performances et l&#039;am\u00e9lioration continue.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-outsourced-fragmentation-analysis-mailfrag\"><strong>Analyse de fragmentation externalis\u00e9e \u2013 MailFrag<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">MailFrag est un service qui offre une solution simple et efficace aux \u00e9quipes souhaitant obtenir des r\u00e9sultats concrets gr\u00e2ce \u00e0 l&#039;expertise des sp\u00e9cialistes en traitement d&#039;images de WipWare. En s&#039;appuyant sur les analystes exp\u00e9riment\u00e9s de WipWare, MailFrag fournit des rapports professionnels de distribution de la taille de la fragmentation, permettant ainsi aux \u00e9quipes op\u00e9rationnelles de se concentrer sur la prise de d\u00e9cision plut\u00f4t que sur le traitement des donn\u00e9es.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"948\" height=\"324\" src=\"https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/2025-12-18_10-34-24.png\" alt=\"Comment fonctionne MailFrag\u00a0? \u00c9tapes pour envoyer les r\u00e9sultats\" class=\"wp-image-9291\" srcset=\"https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/2025-12-18_10-34-24.png 948w, https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/2025-12-18_10-34-24-300x103.png 300w, https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/2025-12-18_10-34-24-768x262.png 768w, https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/2025-12-18_10-34-24-18x6.png 18w\" sizes=\"auto, (max-width: 948px) 100vw, 948px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-ai-based-geotechnical-analysis-wipjoint\"><strong>Analyse g\u00e9otechnique bas\u00e9e sur l&#039;IA \u2013 WipJoint<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/www.linkedin.com\/posts\/wipware-inc-_how-to-use-wipfrag-and-wipjoint-for-fragmentation-activity-7396185567429840897-2n7T\/\">WipJoint<\/a><\/strong>, Cette fonctionnalit\u00e9 puissante de WipFrag \u00e9tend ses applications au-del\u00e0 de la fragmentation en appliquant des technologies d&#039;imagerie IA \u00e0 l&#039;analyse g\u00e9otechnique. Elle facilite l&#039;identification et la caract\u00e9risation des structures, des joints et des discontinuit\u00e9s des massifs rocheux, contribuant ainsi \u00e0 une conception plus s\u00fbre des tirs de mines et \u00e0 une meilleure compr\u00e9hension de ces massifs.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"621\" height=\"260\" src=\"https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/WipJoint.png\" alt=\"\" class=\"wp-image-9292\" srcset=\"https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/WipJoint.png 621w, https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/WipJoint-300x126.png 300w, https:\/\/wipware.com\/wp-content\/uploads\/2025\/12\/WipJoint-18x8.png 18w\" sizes=\"auto, (max-width: 621px) 100vw, 621px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-blast-fragmentation-simulation-blastcast-swebrec-model\"><strong>Simulation de fragmentation par explosion \u2013 BlastCast (Mod\u00e8le Swebrec)<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">BlastCast permet la mod\u00e9lisation pr\u00e9dictive de la fragmentation \u00e0 l&#039;aide de la distribution Swebrec, permettant aux ing\u00e9nieurs de simuler les r\u00e9sultats d&#039;un tir de mine avant son ex\u00e9cution. Ceci inclut\u00a0:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Optimisation de la conception des explosions<\/li>\n\n\n\n<li>R\u00e9duction des infractions li\u00e9es aux gabarits hors gabarit et des amendes<\/li>\n\n\n\n<li>Alignement de la fragmentation avec les exigences des plantes<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">La planification bas\u00e9e sur la simulation permet d&#039;am\u00e9liorer la coh\u00e9rence, de r\u00e9duire les co\u00fbts et d&#039;obtenir de meilleures performances en aval.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-why-fragmentation-analysis-is-critical-to-mine-profitability\"><strong>Pourquoi l&#039;analyse de la fragmentation est essentielle \u00e0 la rentabilit\u00e9 mini\u00e8re<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">En int\u00e9grant la mesure, l&#039;analyse et la simulation, les solutions de fragmentation de WipWare transforment les images brutes en informations exploitables. Cette approche globale am\u00e9liore la s\u00e9curit\u00e9, accro\u00eet la productivit\u00e9, r\u00e9duit la consommation d&#039;\u00e9nergie et optimise les performances de la mine \u00e0 l&#039;usine.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">L&#039;analyse de la fragmentation ne se contente pas de mesurer la roche ; elle permet de prendre des d\u00e9cisions mini\u00e8res plus intelligentes tout au long du cycle de vie de la mine.<\/p>","protected":false},"excerpt":{"rendered":"<p>Fragmentation analysis is a critical driver of mine performance, profitability, and sustainability. Accurate measurement and control of rock fragmentation from drill and blast to crushing and milling directly influence throughput, energy consumption, equipment wear, and operating costs. WipWare\u2019s fragmentation analysis solutions use advanced image processing and AI-driven technologies to deliver high-quality, real-time particle size distribution [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":9290,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[91],"tags":[],"class_list":["post-9289","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kb"],"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":"<!-- wp:yoast-seo\/estimated-reading-time {\"estimatedReadingTime\":4} -->\n<p class=\"wp-block-yoast-seo-estimated-reading-time yoast-reading-time__wrapper\"><span class=\"yoast-reading-time__icon\"><svg aria-hidden=\"true\" focusable=\"false\" data-icon=\"clock\" width=\"20\" height=\"20\" fill=\"none\" stroke=\"currentColor\" style=\"display:inline-block;vertical-align:-0.1em\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M12 8v4l3 3m6-3a9 9 0 11-18 0 9 9 0 0118 0z\"><\/path><\/svg><\/span><span class=\"yoast-reading-time__spacer\" style=\"display:inline-block;width:1em\"><\/span><span class=\"yoast-reading-time__descriptive-text\">Estimated reading time: <\/span><span class=\"yoast-reading-time__reading-time\">4<\/span><span class=\"yoast-reading-time__time-unit\"> minutes<\/span><\/p>\n<!-- \/wp:yoast-seo\/estimated-reading-time -->\n\n<!-- wp:yoast-seo\/breadcrumbs \/-->\n\n<!-- wp:paragraph -->\n<p><a href=\"https:\/\/wipware.com\/\">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<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"anchor\":\"h-queue-sieving\"} -->\n<h2 id=\"h-queue-sieving\" class=\"wp-block-heading\">Queue sieving!<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"anchor\":\"h-manual-sieving-vs-continuous-monitoring\"} -->\n<h2 id=\"h-manual-sieving-vs-continuous-monitoring\" class=\"wp-block-heading\">Manual Sieving vs Continuous Monitoring <\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p><strong>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<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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 <a href=\"https:\/\/www.elorantaassoc.com\/\">Eloranta &amp; Associates<\/a> calculates, misrepresentation could be possible.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Take a look:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Assume:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>400 TPH<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>6 m\/s<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>1 meter belt sample per shift<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Belt travels 1 meter in 0.17 seconds<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>0.17 sec x 1 hr\/3600 sec x 400 t\/hr = .019 tons <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>.019 t\/(8 x 400) t = .0000059<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>With a percentage like that, I\u2019ll take continuous, non-disruptive particle sizing any day.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"anchor\":\"h-what-s-wipware-s-role-in-all-of-this\"} -->\n<h2 id=\"h-what-s-wipware-s-role-in-all-of-this\" class=\"wp-block-heading\"><strong>What\u2019s WipWare\u2019s role in all of this?<\/strong><\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p> 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<!-- \/wp:paragraph -->\n\n<!-- wp:image {\"id\":8318,\"sizeSlug\":\"large\",\"linkDestination\":\"none\"} -->\n<figure class=\"wp-block-image size-large\"><img src=\"https:\/\/wipware.com\/wp-content\/uploads\/2015\/05\/Picture2-1024x551.png\" alt=\"Rock analysis with chart and graph\" class=\"wp-image-8318\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>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<!-- \/wp:paragraph -->","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"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.7 (Yoast SEO v28.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Fragmentation Analysis Software That Expands Your Life-of-Mine Vision &#8226; WipWare<\/title>\n<meta name=\"description\" content=\"Explore how fragmentation analysis improves mine performance, enhancing profitability and sustainability in mining operations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wipware.com\/fr\/kb\/fragmentation-analysis-software-that-expands-your-life-of-mine-vision\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fragmentation Analysis Software That Expands Your Life-of-Mine Vision &#8226; WipWare\" \/>\n<meta property=\"og:description\" content=\"Fragmentation analysis is a critical driver of mine performance, profitability, and sustainability. 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