Every operation has a specification they need their material size to be within: Whether it’s ASTM specifications for aggregate operations, key performance indicators for crushers and SAGs, or blast metrics for explosives selection, these standards are crucial in streamlining an operation’s process.

For example: an operation in northern Quebec, Canada (if you are looking at a map of Quebec, chances are you are still not looking north enough… keep going… there you go) needed to ensure material size did not exceed 6 inches in size coming out of the primary crusher, for a variety of reasons:

• L'énergie nécessaire en aval pour décomposer ces grosses particules était importante
• Problèmes de maintenance en termes de dommages causés par ces particules surdimensionnées
• Getting maintenance personnel on-site to deal with the points was extremely costly

With the assistance of Xstrata Process Support (XPS) and a hydraulic toggle supplier, WipWare was able to not only identify when material was larger than 6″ but send signals to through a PLC that would automatically adjust the crusher mantle to bring the material size back in line. Just by reducing maintenance shutdowns to manually adjust the crusher setting, this operation was able to recoup the cost of the system within a year.

Even if your operation opts to manually adjust its process using WipWare’s systems as a guide, the benefits are widespread and significant. We’ve seen the timeline between liner replacements expanded drastically, and SAG feed optimized on-the-fly by utilizing online data as a standard.

…And for the folks who have dealt with paving specifications, all it takes is for a half mile of out-of-spec pavement to be pulled up to identify the importance of keeping material in between the goal posts.

Speaking more on the ground level of photoanalysis technology, envelopes can be created inside of WipFrag et Solo, so operators can identify out-of-spec material briefly. Perhaps it’s a matter of notifying mining personnel, or shutting down a belt until liner maintenance is completed; regardless, having a tool that can help significantly in adhering to your operation’s standards can mean cost-savings, reduced downtime, and a more proactive approach to mining and milling.

Bon écrasement !

Estimated reading time: 4 minutes

WipWare has been in the image analysis business for over 30 years commercially. We’ve 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.)

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’s very hard to track how well the ‘rock breaking’ is going.

Tamisage de la file d'attente !

Le tamisage manuel existe depuis des milliers d'années. De nos jours, la précision de ces méthodes d'analyse par tamisage est assez impressionnante : arrêtez votre tapis, faites une coupe, apportez le matériel au laboratoire, mettez-le dans le tamis vibrant, et le tour est joué ! En quelques heures vous avez votre résultat. Qu'est-ce qui pourrait être mieux?

Well, let’s 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.

Manual Sieving vs Continuous Monitoring

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

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 “based on your material size, you need this kind of crusher/liner/product”.

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 calculates, misrepresentation could be possible.

Take a look:

Présumer:

400 TPH

6 m/s

Échantillon de courroie de 1 mètre par quart de travail

La ceinture parcourt 1 mètre en 0,17 seconde

0,17 s x 1 h/3600 s x 400 t/h = 0,019 tonne

0,019 t/(8 x 400) t = 0,0000059

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

With a percentage like that, I’ll take continuous, non-disruptive particle sizing any day.

So let’s summarize so far: Manual sieving accurately measures the sampled material but may not represent the material continuously running through your process.

What’s WipWare’s role in all of this?

Well, it’s really a complementary thing. WipWare is the ying to sieving’s yang, the Sunny to sieving’s Cher…I’ll stop now.

WipWare’s systems offer continuous monitoring of material. That’s 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 – 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.

WipWare’s systems offer continuous monitoring of material. That’s 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 – 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.

The Need for Energy Efficiency Assessment in Blasting

In today’s 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 broken, but how well the resulting fragmentation supports downstream processes such as crushing and grinding.

A tool is therefore needed to assess and quantify the energy utilization in blasting, specifically through fragmentation analysis. By analyzing fragmented rock sizes in terms of percentage passing, engineers can evaluate how effectively a particular blast design converted explosive energy into rock breakage. Since controllable parameters such as burden, spacing, charge distribution, and initiation timing govern how explosive energy is distributed within the rock mass, understanding fragmentation helps determine how these parameters interact with uncontrollable factors like rock structure and discontinuities.

WipWare: The Global Ruler for Rock Size Assessment

WipWare Inc. is well known as the world leader in rock size measurement and fragmentation analysis. Known as the ruler for rock size assessment, WipWare provides innovative tools that quantify particle size distributions (PSD) from pre-blast through post-blast and into mineral processing stages, creating a continuous feedback loop for process optimization.

Pre-Blast Assessment with WipJoint

Understanding the geological conditions before blasting is crucial for predicting fragmentation outcomes. To bridge the gap between rock mass discontinuity and fragmentation potential, WipWare re-introduced WipJoint, a technology developed in 1990 by Dr. Norbert Maerz, Dr. John Franklin, and Dr. Tom Palangio.

WipJoint enables users to assess rock joint apparent spacing, apparent orientation, RQD and apparent in-situ block size from digital images of rock faces. This pre-blast information is invaluable for correlating structural conditions with post-blast fragmentation results. By analyzing joint characteristics, mining engineers can refine their blast design to ensure optimal energy distribution within the rock mass, thereby improving fragmentation and reducing energy waste in subsequent comminution stages.

Post-Blast Fragmentation Analysis with WipFrag

Once blasting is completed, WipFrag provides the most reliable and efficient means for evaluating fragmentation results. Using advanced image analysis, WipFrag calculates the particle size distribution (PSD) of fragmented rock piles and compares the results to target sizes such as the primary crusher’s gape.

This capability allows for quantitative comparison between different blast designs, helping to identify which parameters yield the best fragmentation for energy efficiency and crusher compatibility. With tools like specification envelopes and boulder detection, WipFrag makes it possible to assess whether the blast produced the desired material size and shape for downstream processes.

Material Assessment During Haulage with Reflex 6

Fragmentation control doesn’t stop at the muck pile. During haulage, WipWare’s Réflexe extends analysis to every truckload of material. Equipped with high-resolution cameras and an onboard computer, Reflex captures real-time images of material in transit, either while loaded on the truck or when being dumped at the crusher hopper or stockpile.

This technology enables continuous monitoring of material quality from each blast bench, providing operators with valuable data on fragmentation size, shape, uniformity and ore type variation. The Reflex system thus acts as vehicle load assessment platform, ensuring that no load goes unanalyzed.

Conveyor Belt Monitoring and Process Optimization with Solo 6

At the mineral processing stage, WipWare Solo revolutionizes comminution monitoring. Installed over conveyor belts, Solo continuously analyzes the size distribution of material feeding the crusher or exiting as product. This intelligent system provides live feedback to operators, empowering them to make real-time decisions for process optimization.

Solo integrates seamlessly with existing process control systems such as Modbus TCP and OPC UA, allowing direct communication with plant control networks. This enables automatic crusher gap adjustment, SAG mill feed control, and load balancing, ensuring that the plant operates within optimal limits.

By maintaining consistent feed size and adjusting operational parameters accordingly, Solo helps minimize bearing pressure, reduce liner wear, improve throughput, and enhance overall energy efficiency throughout the comminution circuit.

WipWare technology provides a fully integrated suite of solutions that cover every stage of the comminution chain, from pre-blast geological assessment (WipJoint), through post-blast fragmentation evaluation (WipFrag), haulage assessment (Reflex), and processing control (Solo). By quantifying and connecting each step, WipWare enables mines to measure, monitor, and optimize energy use across the entire operation. The result is smarter blasting, improved crusher efficiency, and a more sustainable approach to mineral processing, achieving the ultimate goal of energy-efficient comminution.

Mine-to-Crusher Application of WipWare Solutions: Case Study at dstgroup Quarry

This study presents the third phase of a three-part research series focused on optimizing the interface between blasting and primary crushing operations at dstgroup aggregate quarry in Portugal, using WipWare solutions. The central goal is to improve fragmentation outcomes to better align particle size distribution (PSD) with crusher requirements, thereby reducing energy consumption and enhancing operational efficiency.

Building on the baseline methodology developed in Part 1, which incorporated 3D bench modeling and borehole surveys to assess blast compatibility with crusher specifications, the study identified discrepancies between predicted and actual fragmentation results. Part 2 applied targeted adjustments, such as reducing subdrill depth and altering stemming material, achieving measurable improvements in D80, maximum fragment size, and overall blast efficiency. However, boulder formation persisted in certain blast rows, prompting further optimization.

In this phase, the team implemented remaining recommendations, including refined drill and blast patterns, increased stemming size (from D80 12 mm to 21 mm) and length (from 1.8 m to 2 m), improved drilling accuracy, and adjusted inter-hole timing. High-resolution drone imagery and point-by-point blast surveys were integrated into O-PitSurface simulations to evaluate blast performance. WipFrag software was utilized for detailed particle size analysis, enabling comparison of fragmentation outcomes before and after design modifications.

Results demonstrated significant gains: D50 decreased by 19%, D80 and D95 by 20% and 23%, respectively, and maximum particle size reduced by 3%, indicating better control over oversized material. Fragmentation efficiency improved by over 21%, and the uniformity index increased by 16%, reflecting more consistent and predictable PSD. Adjustments to stemming material and length enhanced energy confinement, minimizing premature blowout and promoting even energy distribution throughout the blast column.

Run-of-mine monitoring with the Reflex system above the primary crusher provided real-time PSD analysis, confirming continuous improvement in fragmentation and crusher feed consistency. Over a six-month period, key size distribution metrics consistently trended downward, validating the effectiveness of iterative blast parameter adjustments and demonstrating the value of data-driven, integrated mine-to-crusher strategies.

In conclusion, the study illustrates how WipWare solutions, including WipFrag, Reflex, and O-PitSurface, enable quarry operations to optimize fragmentation, reduce oversize and fines, improve crusher compatibility, and enhance overall operational efficiency. The mine-to-crusher framework serves as a replicable model for energy-efficient, predictable, and high-performance blast-to-crusher integration.

Read Full paper here: Mine to Crusher Framework for Quarries

Quels paramètres de détection de contour (EDP) dois-je utiliser ?

Lorsque vous utilisez WipFrag pour analyser les tas de déblais, vous pouvez suivre les directives suivantes :

Amendes = curseurs vers la droite

Moyen = curseurs au milieu

Grand = curseurs vers la gauche

Generally, you want to have accurate nets on the small- to medium-sized particles. Once you find a suitable net for this size of material you can manually edit the larger material. Using this method will help provide more accurate results. 

It’s also recommended that you try to keep a similar EDP for images of the same muck pile, or when trying to compare different muck piles.

If finer adjustments are required, you can activate the ‘Show Advanced Controls’ checkbox to access numeric inputs featuring a wider range of finer adjustments than the basic sliders provide.

WipWare Automated Photoanalysis Systems and EDP

Dans Delta, une version avancée du logiciel WipFrag qui s'exécute sur les systèmes de photoanalyse automatisés WipWare, nous utilisons un processus appelé Best Fit EDP. Pour les systèmes en ligne, ce processus est généralement effectué sur place au moment de l'installation. Il est mis en œuvre en prenant une image d'un matériau typique une fois que tous les paramètres matériels et logiciels ont été effectués. Nous traçons manuellement autant de particules que possible, puis exécutons la fonction EDP Best Fit. Le logiciel essaiera alors de faire correspondre la trace manuelle des particules en utilisant les paramètres EDP disponibles. Best Fit EDP génère un ensemble de valeurs numériques qui seront entrées dans les commandes avancées EDP. Cette méthode est très précise et fournit à nos systèmes en ligne des paramètres de détection de contour bien adaptés. Il est rare qu'un système informatique en ligne doive être modifié, mais si tel est le cas, cela peut être fait à distance depuis notre siège social.

Best Fit EDP was recently added to WipFrag software. Because of the time involved in editing an image to produce a good Best Fit EDP, this feature is most practical to reduce the amount of manual editing required if you are going to be analyzing many images (20, 30 or more) of the same material under the same conditions. For most users, where smaller batches tend to be analyzed at once, using the sliders to adjust the EDP is faster.

Within WipFrag, there is also a feature called Auto EDP which attempts to determine the edge detection parameters automatically. This feature works well if the particle size range is narrow.

Read more about WipFrag: https://wipware.com/products/wipfrag-image-analysis-software/

Vous débutez dans la technologie de la photoanalyse ? Peut-être avez-vous une installation et souhaitez-vous explorer d'autres emplacements pour améliorer l'efficacité ? Continuez à lire au-delà du saut pour certains des emplacements les plus populaires de WipWare.

Where would be an ideal location to install your technologies?

There are 5 main locations where photoanalysis technologies are installed, all of which have a similar theme of analyzing material after it has been reduced in size. I’ve listed a few (of the many) popular locations, from the mine to the mill:

Blast Fragmentation

Unlike conveyor belt technologies, blast fragmentation systems are providing particle sizing data that would otherwise be unquantifiable. As an example: When mine team is asked how they were determining blast performance, they responded with: “Well, we try to compare it just by looking at it”. By putting quantifiable values beside the material being dumped into the primary crusher, we eliminate any bias and baseline the blasting performance.

Now, think for a second how much cheaper it would be, if you could do most of your material breaking in the blasting phase: Reduced crusher needs, less maintenance on equipment, and significantly reduced energy costs to name a few of the benefits of optimizing blasting procedures.

Post-primary/Post-secondary crusher

 Either Jaw, Gyratory, or Cone, whatever type of crusher you use to break down your material, if it’s primary, secondary or tertiary crushing, you should be looking into evaluating the performance of those crushers, in order to a) maximize liner life, b) make crusher gap adjustments, c) change worn out liners before oversize contaminates your stockpile, d) improve overall crusher throughput.

See, most crusher maintenance schedules are based on a fixed timeline, when many variables can affect the lifetime of the liners. Think ore hardness, size, etc.

En fait, en revenant à un article de blog précédent, vous pouvez réellement commencer à automatiser cette partie de votre processus pour une efficacité maximale.

Screen Breakages

Si vous avez besoin d'un bris d'écran immédiat ou d'indicateurs d'usure, les technologies de photoanalyse peuvent très bien détecter les matériaux surdimensionnés après le criblage. Les producteurs d'agrégats, par exemple, voient une valeur importante dans l'identification des matériaux hors spécifications immédiatement après qu'une défaillance du crible a été identifiée.

SAG Optimization

This is probably the location with the biggest potential return on investment, and is the most common first installation: Imagine controlling your stockpile blend based on continuous particle sizing information. Being able to optimize SAG feed can save an operation significant cost in a variety of areas.

Sachez quand nourrir des côtés les plus grossiers de la réserve ou du milieu.

Want to read more about our conveyor analysis systems? Click here: https://wipware.com/products/solo-conveyor-analysis-system/

Looking for more information: See our Blast Fragment Optimization LinkedIn Page: https://www.linkedin.com/groups/12895040/

How Low Can You Go?

One of the most common questions we receive is, “How small can you analyze?” The answer depends on multiple factors, but with the right imaging, WipWare’s systems can measure down to micron levels. However, when analyzing material on conveyor belts, additional considerations impact the minimum particle size that can be accurately measured.

Over the years, we’ve worked with a vast range of conveyor belt applications from highly quality-controlled 10-inch belts to massive run-of-mine conveyors that are several metres wide as is normally found in global copper, iron ore mine operations. Our fully adjustable frames are customized before shipping to ensure seamless integration into your operation.

Key Considerations for Conveyor Belt Analysis

When it comes to analyzing material on conveyor belts, a few fundamental factors come into play:

• Fixed Camera Position – The camera is mounted at a consistent distance from the belt, usually within a metre or so (a few feet).
• Controlled Lighting – Conveyor belt environments generally offer stable lighting conditions, improving image accuracy.
• Material Spread – The material stream typically covers a predictable portion of the belt rather than the entire conveyor surface, allowing the camera to focus specifically on the material.
• Controlled Flow – Conveyed material has a known source and destination and moves at a controlled speed and direction, making variables easier to control.

With these stable conditions, WipWare’s systems can precisely determine the size ranges they analyze for each application.

Real-World Examples

Let’s explore two real-world examples using WipWare’s Solo system:

From the comparison table above, we see that ABC Company’s larger conveyor widths require the particle sizing system to be mounted higher to capture the full material spread. This setup means the system focuses more on coarser size fractions than fines – which is good: If a 3-metre belt is in use, and the material is raw primary crusher output, it’s unlikely that the material is 100% fines.

In contrast, Company XYZ deals with crushed and pre-screened materials, meaning the belt carries smaller particles. Since the conveyor is smaller in width, the system mounting height is closer to the material and can therefore analyze smaller size fractions.

Note: These are real-world examples with their own unique challenges which affect the detectable size range and goals which determine the focus of data collection. Your own application could have very different detectable size ranges depending on similar factors at your operation.

Expanding the Size Range: What are the options?

If you need to adjust the minimum or maximum detectable particle size, consider the following:

1. Calibrate for Unseen Fines – Using sieve data and manual belt cuts to measure unseen and unresolvable fines and calibrate the system output accordingly. This is good for known and predictable material streams.
2. Reduce the Field of View – Narrowing the system’s focus by adjusting the position or changing the type of lens used to view a smaller area. This in turn may limit the ability to capture coarser sizes.
3. Increase Camera Locations – Using multiple cameras on the same material stream to capture different ranges of material, ie. a “fines” camera and a “coarse” camera.
4. Tailored Solutions for Your Operation – The technology itself can change for your specific needs, such as increasing the camera resolution or changing the mounting solution.

If you’re wondering how effective a WipWare analysis system would be for your operation, Nous contacter! Our technologies have helped mining operations worldwide achieve better process control.

Have a unique application? We love a challenge — send us the details, and we’ll be happy to assist!