Quali parametri di rilevamento dei bordi (EDP) dovrei usare?

Quando si utilizza WipFrag per analizzare le pile di letame, è possibile utilizzare le seguenti linee guida:

Multe = Cursori a destra

Medio = Cursori nel mezzo

Large = Cursori a sinistra

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

In Delta, una versione avanzata del software WipFrag che funziona sui sistemi di fotoanalisi automatizzata WipWare, utilizziamo un processo chiamato Best Fit EDP. Per i sistemi online, questo processo viene solitamente eseguito in loco al momento dell'installazione. Viene implementato prendendo un'immagine di materiale tipico una volta che tutte le impostazioni hardware e software sono state completate. Tracciamo manualmente il maggior numero possibile di particelle e quindi eseguiamo la funzione Best Fit EDP. Il software cercherà quindi di abbinare la traccia manuale delle particelle utilizzando le impostazioni EDP disponibili. Best Fit EDP emette una serie di valori numerici che verranno inseriti nei controlli avanzati EDP. Questo metodo è molto accurato e fornisce ai nostri sistemi online parametri di rilevamento dei bordi adatti. È raro che un sistema EDP online debba essere modificato, ma in tal caso è possibile farlo in remoto dalla nostra sede.

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/

Non conosci la tecnologia della fotoanalisi? Forse hai un'installazione e vorresti esaminare altre posizioni per migliorare l'efficienza? Continua a leggere oltre il salto per alcune delle posizioni più popolari di 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.

In effetti, tornando a un precedente post sul blog, puoi effettivamente iniziare ad automatizzare quella parte del tuo processo per la massima efficienza.

Screen Breakages

Se hai bisogno di una rottura immediata dello schermo o di indicatori di usura, le tecnologie di fotoanalisi possono rilevare molto bene il materiale fuori misura dopo lo screening. I produttori di aggregati, ad esempio, vedono un valore significativo nell'identificare materiale fuori specifica immediatamente dopo che è stato identificato un guasto dello schermo.

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.

Sapere quando nutrirsi dai lati più grossolani della riserva o dal centro.

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 Assolo 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, Contattaci! 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!

WipWare’s fragmentation analysis technologies have been widely applied across various mining operations to solve critical challenges. These were associated with material flow, fragmentation consistency, energy use, and overall process efficiency. I came across Tom Palangio‘s works on numerous case studies highlighting the effectiveness of WipWare‘s tools. These tools optimized blasting practices and downstream processing. This review presents a summary of several influential studies and industrial applications of WipWare technology.

Photographic Fragmentation Analysis

Selbaie Mine, Joutel, Quebec, Canada

In the mid-1990s, Selbaie Mine utilized photographic fragmentation analysis using WipFrag to assess explosive performance and optimize blasting patterns. The integration of WipWare technology enabled the mine to monitor and control several key performance indicators. Some of these indicators included energy consumption for crushing, loading rates, haul truck payloads, secondary blasting costs, and maintenance expenditures. Fragmentation data revealed a more comprehensive understanding of the effects of blast results on overall mining cost structures. This information allowed the mine to better manage ore processing operations. They could quantify the true cost of mineral handling based on fragment size.

Significant Pattern Optimization

INCO Coleman Mine, Sudbury, Ontario, Canada

INCO’s Coleman Mine used WipFrag during a detailed study in 1994, resulting in significant pattern improvement. The original tight blast pattern (5ft x 10ft) yielded a characteristic size (Xc) of 0.617 m, with substantial oversize material requiring re-blasting. Progressive expansion of the blast pattern to 6ft x 10ft and eventually 7ft x 10ft not only improved fragmentation (Xc = 0.318 m) but also reduced oversize entirely. WipFrag data was instrumental in determining optimal fragmentation, with INCO realizing up to 40% blast pattern expansion and 80% cost savings. Additionally, the technology allowed for reductions in fines generation, further streamlining ore handling and improving crusher feed quality.

Correlate Ore Fragmentation and Hardness with Mill Performance

Highland Valley Copper, Logan Lake, British Columbia, Canada

At Highland Valley Copper (HVC), the team used WipWare tools to correlate ore fragmentation and hardness with mill performance. WipWare’s WipFrag software, Reflex vehicle analysis system and Solo conveyor analysis system played a central role in tracking ore size distributions from the pit through to the mill feed. This enabled real-time optimization of crusher and mill settings. The mine’s dispatch system integrated fragmentation data to guide stockpile management and minimize feed segregation. WipFrag analysis revealed that feed consistency across the grinding lines could be improved by adjusting feeder ratios. This capability to quantify fragmentation effects allowed HVC to perform cost benefit analyses and optimize the balance between blast quality and mill throughput.

Detonator Timing Accuracy and Improved Fragmentation using WipFrag

Bartley and Trousselle – Ogdensburg, New York, USA

At Benchmark Materials Quarry, Bartley and Trousselle demonstrated the link between detonator timing accuracy and improved fragmentation using WipFrag. Digital programmable detonators yielded superior blast uniformity and reduced vibration levels. WipWare’s image analysis facilitated the evaluation of blast performance improvements by providing accurate fragmentation size distribution data.

The Effects of Improved Fragmentation on Mechanical Performance and Power Usage in the Crushing Circuit

Lafarge Canada Inc. – Exshaw, Alberta, Canada

Lafarge’s Exshaw operations applied WipFrag to examine the effects of improved fragmentation on mechanical performance and power usage in the crushing circuit. A redesigned blast using 102 mm holes led to more uniform fragmentation. This resulted in a 16% increase in crusher throughput and a 30% reduction in power consumption. WipWare data also informed decisions related to equipment selection (e.g., drill bits) and wall control, leading to improved safety and reduced vibration impacts on neighboring communities.

Cost-Effective and Reliable Fragmentation Assessment Tool

Barkley and Carter – Evaluation of Optical Sizing Methods

Barkley and Carter evaluated WipFrag as both a cost-effective and reliable fragmentation assessment tool. Their work highlighted that previous blast optimization efforts were constrained by the lack of efficient sizing techniques. In contrast, WipFrag enables meaningful decision-making in blast modeling, mining method selection, and economic planning. The study underscored the significance of image-based sampling frequency, particularly in varied muck pile conditions, to derive actionable insights on crusher performance and feed consistency.

Assess Fragmentation and Stemming Uniformity

Chiappetta, Treleaven, and Smith – Panama Canal Expansion

During the expansion of the Panama Canal, WipFrag was employed to assess fragmentation and stemming uniformity in complex geological and logistical conditions. The integration of WipWare into blasting operations enabled engineers to both track blast outcomes and support adaptive design decisions in real time. In a project characterized by not only marine traffic but also saturated zones and tight deadlines, the technology provided essential support in achieving controlled fragmentation and predictable material handling.

Conclusion

These reviewed case studies emphasize WipWare’s critical role in improving the efficiency and economics of mining operations. Through accurate and real time fragmentation analysis, WipWare technologies facilitate optimization across the mine to mill value chain. From reducing energy consumption and equipment wear, to improving blast designs and minimizing fines, WipWare’s technologies offer robust solutions to a range of material flow problems in both surface and underground mining environments. These outcomes underscore the value of fragmentation analysis in modern mining practice, unquestionably supporting data-driven decision making and continuous process improvement.

By Blessing Taiwo

Introduction

Blasting is a critical operation in mining, quarrying, and construction that involves the controlled detonation of explosives to break rock into manageable fragments. The fundamental principle behind blasting lies in understanding the interaction between explosive energy and rock mechanics, particularly the propagation of shock waves and the subsequent formation of fractures.

The Shock-Wave Theory of Blasting

The shock-wave theory provides a framework for understanding how explosive energy transforms into mechanical work, breaking the rock. As mentioned by Hino, (1956), when an explosive charge detonates, it generates an intense shock wave accompanied by a rapid release of gas and energy.

This energy produces two primary effects:

1. Crushed Zone Formation:

Near the explosive charge, the rock undergoes intense compressive stress, exceeding its compressive strength. This creates a crushed zone, a region where the rock is pulverized into fine fragments. However, because rocks generally have a high compressive strength, this crushed zone is limited to the immediate vicinity of the charge.

Figure 1 )Shadab Far et al., 2019)

2. Shock Wave Propagation:

Beyond the crushed zone, a high-pressure shock wave propagates outward as a compressive wave. This wave does not immediately cause rock breakage but transfers energy through the rock mass.

At the first free face (a boundary with no external constraint, such as the surface of a bench or tunnel wall), the compressive wave reflects as a tensile wave. In rock mechanics, this transition is crucial because rocks are significantly weaker under tensile stress than under compressive stress. As the tensile wave interacts with the rock, fractures form when the effective tension the difference between the reflected tensile wave and any residual compression exceeds the rock’s tensile strength (Himanshu et al., 2024).

Thickness of the First Slab and Fragmentation

The initial fracture caused by the tensile wave occurs at a distance from the free face known as the thickness of the first slab (Hino, 1956). This distance is critical because:

• It determines the size of the initial fragment.
• Other fragment dimensions are generally proportional to this thickness.

If the remaining compressive wave retains sufficient energy after the detachment of the first slab, it continues propagating outward (See Figure 2). This process repeats at newly created free faces, producing successive layers of fractures and reducing the rock into smaller fragments. The cycle continues until the energy of the compressive wave diminishes below the tensile strength of the rock.

The interaction between these phenomena: shock wave propagation, energy dissipation, and rock strength, governs the fragmentation process. Understanding these principles allows blasting engineers to optimize blast designs to achieve desired fragment sizes, minimize blast induced issues like ground vibration, flyrock, overbreak, and ensure efficient downstream operations.

Factors Affecting Shock-Wave Propagation and Fragmentation

Several factors influence the effectiveness of a blast and the resulting fragmentation:

1. Explosive Properties

• The energy content, detonation velocity, and confinement of explosives significantly affect the shock wave’s intensity and duration.

2. Rock Properties

• Variations in rock strength, density, and structure (e.g., joints, fractures, and bedding planes) influence the propagation of shock and tensile waves.

3. Blast Design Parameters:

• Hole diameter, spacing, burden, and the placement of charges determine the distribution of energy and the resulting fragmentation.

4. Free Face Orientation:

• The presence and orientation of free faces play a pivotal role in enabling tensile wave reflection and fracture initiation.

5. Energy Distribution:

• Proper distribution of explosive energy ensures uniform fragmentation and minimizes the generation of oversize boulders or fines.

Importance of Fragmentation in Mining Operations

Effective fragmentation is essential for the efficiency and cost-effectiveness of mining operations. Well-fragmented rock facilitates:

• Reduced loading and hauling costs.
• Improved crusher throughput and efficiency.
• Lower energy consumption in downstream processing.
• Enhanced safety by minimizing the occurrence of hazardous oversize boulders.

Importance of Assessing Blast Performance and Output

WipFrag, a state-of-the-art image analysis software, revolutionizes the assessment of blast performance and fragmentation. By analyzing images of fragmented rock, WipFrag provides precise and actionable insights into the quality of a blast. Here’s how WipFrag enhances blasting operations:

1. Particle Size distribution (PSD) Analysis:

• WipFrag generates PSD curves that quantify the size range of rock fragments, enabling operators to evaluate whether the fragmentation meets specifications.

2. Specification Envelope Assessment

• The software allows users to define specification envelopes for crusher-compatible fragmentation. Deviations from these envelopes highlight areas for improvement in blast design.

3. Boulder Identification and Counting:

• WipFrag’s advanced algorithms detect and count oversize boulders, providing critical data for optimizing explosive placement and burden.

4. Image Merging and Orthomosaic Integration:

• The capability to merge multiple images ensures comprehensive analysis of large muck piles. Integration with drone orthomosaics enables wide-area assessment of blast results.

5. Continuous Improvement:

• By comparing fragmentation results across blasts, WipFrag supports continuous improvement in blasting practices, reducing costs and improving efficiency.

6. Real-Time Analysis:

• Integration with systems like Solo 6 and Reflex 6 facilitates real-time monitoring and analysis, ensuring immediate feedback for decision-making.

Figure 3

Figure 3 showcases results obtained from the WipFrag software, illustrating its capabilities in fragmentation analysis.

• Figure 3a presents the GIS-integrated on-site fragmentation assessment. This feature, embedded within WipFrag, allows users to visualize blast results spatially. The red sections of the GIS map highlight areas with poor blast outcomes, whereas lighter colors like blue and green represent zones with favorable fragmentation.
• Figure 3c displays the Particle Size Distribution (PSD) curves comparing three different blasts. The yellow envelope outlines the production specification of the case study mine, serving as a benchmark. WipFrag enables each mine to define their Key Performance Indicator (KPI) sizes and utilize them for ongoing assessments. This facilitates the evaluation of blast improvements over successive rounds.
• Additionally, the PSD curves feature size classifications and flag specific sizes that deviate from mine production requirements, ensuring precise monitoring and alignment with operational goals.

This comprehensive analysis provided by WipFrag aids in identifying areas of improvement, optimizing blasting strategies, and enhancing overall mining efficiency.

Conclusion

Blasting and fragmentation are complex processes driven by the interaction of explosive energy, rock mechanics, and blast design parameters. Understanding these fundamentals is essential for optimizing operations and achieving desired outcomes. WipFrag software plays a pivotal role in this optimization by providing detailed and accurate fragmentation analysis, enabling operators to assess performance, identify areas for improvement, and implement data-driven strategies for continuous enhancement. With tools like WipFrag, the mining industry can achieve safer, more efficient, and cost-effective blasting operations (download software here https://wipware.com/get-wipfrag/).

References

Hino, K. (1956). Fragmentation of rock through blasting and shock wave theory of blasting. In ARMA US Rock Mechanics/Geomechanics Symposium (pp. ARMA-56). ARMA.

Himanshu, V. K., Bhagat, N. K., Vishwakarma, A. K., & Mishra, A. K. (2024). Principles and Practices of Rock Blasting. CRC Press.

Shadab Far, M., Wang, Y., & Dallo, Y. A. (2019). Reliability analysis of the induced damage for single-hole rock blasting. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 13(1), 82-98.

We’ve put together some photoanalysis systems FAQs based on questions from our customers.

For more information about our systems, please visit our YouTube channel.