Hangi Kenar Algılama Parametrelerini (EDP) kullanmalıyım?
Muck yığınlarını analiz etmek için WipFrag'ı kullanırken aşağıdaki yönergeleri kullanabilirsiniz:
Para cezaları = Sağdaki kaydırıcılar
Orta = Ortadaki kaydırıcılar
Büyük = Sola kaydırıcılar
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
WipWare otomatik fotoanaliz sistemlerinde çalışan WipFrag yazılımının gelişmiş bir sürümü olan Delta'da, Best Fit EDP adlı bir işlem kullanıyoruz. Çevrimiçi sistemler için bu işlem genellikle kurulum sırasında yerinde yapılır. Tüm donanım ve yazılım ayarları tamamlandıktan sonra tipik bir malzemenin görüntüsü alınarak gerçekleştirilir. Mümkün olduğu kadar çok parçacığı manuel olarak izliyoruz ve ardından Best Fit EDP özelliğini çalıştırıyoruz. Yazılım daha sonra mevcut EDP ayarlarını kullanarak parçacıkların manuel izini eşleştirmeye çalışacaktır. Best Fit EDP, EDP gelişmiş kontrollerine girilecek bir dizi sayısal değer verir. Bu yöntem çok doğrudur ve çevrimiçi sistemlerimize çok uygun Kenar Algılama Parametreleri sağlar. Bir çevrimiçi sistem EDP'sinin değiştirilmesinin gerekmesi nadirdir, ancak eğer öyleyse merkezimizden uzaktan yapılabilir.
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.
Fotoanaliz teknolojisinde yeni misiniz? Belki bir kurulumunuz var ve verimliliği artırmak için başka yerleri araştırmak mı istiyorsunuz? WipWare'in en popüler konumlarından bazıları için atlamadan önce okuyun.
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.
Aslında, önceki bir blog gönderisine geri dönersek, maksimum verimlilik için sürecinizin bu bölümünü otomatikleştirmeye başlayabilirsiniz.
Screen Breakages
Anında ekran kırılmasına veya aşınma göstergelerine ihtiyacınız varsa, fotoanaliz teknolojileri, tarama sonrası aşırı büyük malzemeyi son derece iyi tespit edebilir. Örneğin, agrega üreticileri, bir elek arızası tespit edildikten hemen sonra spesifikasyon dışı malzemeleri belirlemede önemli bir değer görüyorlar.
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.
Ne zaman yığının kaba taraflarından veya ortasından besleyeceğinizi bilin.
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:
Şirket
ABC Company
XYZ Company
Material Type
Copper
Gold
Conveyor Dimensions
3 metres / 10 feet
1.2 metres / 4 feet
Analysis Location
Primary crusher output
SAG mill feed
Detectable Sizes
7.14 mm – 609.6 mm 0.2812 in (~#3) – 24 in
2.86 mm – 243.84 mm 0.1125 in (~#7) – 9.6 in
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:
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.
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.
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.
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, Bize Ulaşın! 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 WipFragto 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
Reflex
Understanding the Fundamentals of Blasting and Fragmentation – Part 1
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.
Does WipWare Technology give Real Time analysis results?
WipWare Image Analysis Systems produce real-time 24/7 results that allow personnel to identify, evaluate, and optimize troublesome areas of their process while maintaining production. Our systems are installed in many different applications around the world. These applications vary from analyzing wood chips to detecting oversize material or contamination in diamond mines. The applications are endless. From Mine to Mill The term Mine to Mill highlights the importance of fragmentation data on both the blasting and processing end of operations. This term applies well to WipWare line of products from the muckpile after a blast to analyzing material on the conveyor. Mine-to-mill technology takes the entire system into account, from the blasting process to the comminution circuit. This optimization provides a complete fragmentation and size reduction solution to maximize benefit. WipFrag Görüntü Analiz Yazılımı WipWare’s WipFrag 4 Image Analysis Software effectively analyzes data from a recent blast and produces results of the blast material on-site in minutes. Reflex Araç Analiz Sistemi From there, as the trucks haul the material to the primary crusher, you can detect oversize material or contamination and divert the material accordingly. Once at the primary crusher, our Reflex systems can detect oversize material, contamination or give full particle size distribution analysis as the material is dumped. Solo Konveyör Analiz Sistemi After the material has gone through this process our systems can continue to analyze the material on the conveyor belt. At this stage, you can determine what is the most important information you want to retrieve: detect oversize, divert material, identify contaminated material or receive full Particle Size Distribution data 24/7 in real-time. Now, here’s the cool part: our WipFrag software is also the HMI (Human to Machine Interface) for our systems. Not only can you use our software separately to analyze your blast material, but the same software is also used to analyze your material all along its journey from Mine to Mill.
What are the benefits of WipWare products?
Many potential customers ask this very question about the benefits of WipWare products. Well, here’s the answer. WipWare offers industry-leading photoanalysis technology for accurate, real-time fragmentation assessment, optimizing blasting, crushing, and grinding operations. With features like deep learning, auto-scaling, GIS compatibility, and orthomosaic analysis, WipWare ensures precise measurement and continuous improvement. The software’s specification envelope, histogram reporting, and boulder counting enhance decision-making, reducing downtime and costs. Additionally, WipWare provides flexible pricing, cross-shipping warranties, and expert support, making it the top choice for efficient mining and aggregate operations. Furthermore, our online Systems provide data to the customer 24/7 to identify troublesome areas of your process from Mine2mill. In conclusion, our Solo Basic or Complete, Reflex Basic or Complete and WipFrag software can drastically lower energy, and maintenance costs, as-well as cut equipment downtime and aid in quality control.
WipWare'in hacimsel özelliği nasıl çalışır ve size nasıl para kazandırabilir?
WipWare, her ikisini de algılamak için hassas bant derinliği algılama lazerleri kullanır A) Önceki Solo modellerinde olduğu gibi boş kayışlar B) Konveyör bant üzerindeki malzemenin derinliği When you tie the material depth information with the conveyor belt speed and your belt weightometer reading, you are able to extract the specific gravity of the material passing. Having the specific gravity information will allow you to determine whether the material passing is waste or ore-bearing material. Bir kireçtaşı operasyonunda yapılan ön testlerde WipWare, hacimsel hesaplamalar ile kayış ağırlık ölçer okumaları arasında 94% korelasyonuna ulaşmayı başardı. Bir operasyon, bu bilgiyi, atık malzemenin kırma işlemine girmesini engellemek için kullanabilir, bu da bakım ve enerji maliyetlerinde önemli miktarda para tasarrufu sağlar. Volumetrics users have the added benefit of receiving accurate particle sizing results as well as another new feature allowing you to detect contamination. Boyut, şekil, hacim ve kontaminasyon algılama verilerinin gerçek zamanlı olarak sorunsuz bir şekilde yayınlanmasıyla, WipWare'in otomatik teknolojileri, rakiplerinden üç kat daha fazla doğru veri ölçümü sağlıyor.
What has WipWare technology been used for?
WipWare'de, işimizin çoğunu bu iki sektör oluşturduğundan, genellikle kendimizi bir madencilik ve agrega teknolojisi sağlayıcısı olarak adlandırıyoruz. Fotoanaliz teknolojilerinin güzelliği, uygun bir görüntü ile ürünlerimizin mikron malzemeden gezegenlere kadar her şeyi analiz edebilmesidir. Otomatik parçacık boyutlandırmanın madencilik ve agrega endüstrisinin çok önemli bir parçası olduğunu hepimiz biliyoruz, ancak göreceğiniz gibi, malzeme boyutu yalnızca kayalar için önemli değildir. İşte çalışmaktan zevk aldığımız harika uygulamalardan bazıları: Mars Merak Gezgini: There may not be any mining on Mars (that we know of), but the Curiosity rover is taking pictures that are being analyzed for oversized obstacle detection. What a great way to identify and steer clear of obstacles and keep Curiosity roaming. Omlet. That’s right, I said scrambled eggs. A food supplier from the US contacted us looking to optimize the fluffiness and fragmentation of the scrambled eggs they use. I’ll never look at scrambled eggs the same way ever again. İşlenmiş kimberlit: Getting out of our chef’s apron and putting our hard hats back on, we have been working very closely with multiple diamond companies around the world to accurately analyze the process kimberlite material on their conveyor belts. What’s so incredible about this application? Well, it’s pretty normal, except for the fact that the material ranges from as low as 1.2mm (0.0472440″ for our Imperial friends). Once again, if a suitable image can be captured, WipWare can analyze it. …And of course, we work with hundreds of applications that deal with broken screen detections, contamination, quality control procedures, pre- and post- crusher optimization and SAG mill throughput applications.
How can I see analysis (the) data?
Both Delta (Solo 6 and Reflex 6) and WipFrag produce a percentage passing curve visible after each virtual sieve analysis. It also saves the data to a CSV (comma-separated values) file. Each sieve analysis produces a new line in the CSV file that represents the results from the sieve. Bu CSV dosyası şunları içerir: – Timestamp (Year/Month/Day/Hour/Minute/Second) – D-values (XX% passed the specified size – Ex. 90% of the material passes 13.87 inches[352.30mm]) – User specified size classes (% passing or retained at the specified size) – Block (amount of particle detected) – Min, Max, Mean, St. Dev, Mode – Sphericity (The shape of the material – 0=Linear Objects 1=Perfectly Round) – Coverage (How much of the image is used) – Calibration Values (b, Xmax, X50, Xc and n) – EDP values (Edge Detection Values) – Calibration factors – System info (CPU temp, Board temp, Voltage checks) – System uptime – Camera setting at the time of the image. – Modbus and OPC poll rate – Vehicle Identification Information (Reflex Only) Delta (Solo 6 and Reflex 6) can e-mail these CSV files automatically as well as an average of the entire day on one passing curve. It also has a trending graph in the lower section of the software interface which trends the data for the current day. Ayrıca Delta, bilgileri tarihçinize, PLC'nize veya HMI'nıza iletmek için bir Modbus veya OPC bağlantısı kullanarak analiz bilgilerinin çıktısını alma yeteneğine sahiptir.
WipWare Fotoanaliz Sistemleri için hangi düzenli bakım gereklidir?
Sistemlerimiz için gereken tek düzenli bakım, lens ve ışıkların mümkün olduğunca az toz/kir ile temiz olmasını sağlamaktır. Sistemin temizlenmesinin gerekeceği sıklık, çalıştığı ortama bağlı olacaktır: ORTAM/ FREKANS Çok tozlu 1-3 hafta Orta derecede toz 2-6 hafta Az veya hiç toz 4-8 hafta Yöntem 1: Su hortumu The first method is the most common. Using a water hose, simply spray down the system ensuring the lens is clean and free of any noticeable dust or dirt. If possible, use a squeegee to remove any droplets that may remain on the lens. Doing this helps prevent dust from collecting in the droplets that remain which could leave deposits on the lens that interfere with image capture. Since our systems are completely waterproof this method is usually the easiest and most effective way to clean the lens. It can also be done without having to shut down the conveyor belt. Yöntem 2: Nemli bezi/kağıt havluyu temizleyin Diğer bir seçenek ise temiz nemli bir bez veya su veya Windex ile kağıt havlu kullanmaktır. Temiz bir mikrofiber bez kullanmak ideal olacaktır, ancak bunları maden sahalarında bulmak zor olabilir. Merceği silerken sert bastırmamaya çalışın, çok fazla basınç uygulanırsa biriken toz mercekte çizikler bırakabilir. Not: Sıfırın altındaki Sıcaklıklarda, merceğe donacağı ve yetersiz görüntü kalitesine neden olacağı için su veya Windex kullanmaktan kaçının. Doğru sıfırın altındaki sıcaklık için derecelendirilmiş standart ön cam yıkayıcı kullanmanızı öneririz. Yöntem 3: Basınçlı hava It’s also acceptable to use compressed air from a can or hose to dust off our systems. This method works well but will kick up a lot more dust than the liquid methods. We recommend using a dust mask when using compressed air to clean off out systems.
Can Delta (Solo 6 and Reflex 6) store the images captured by automated systems?
Basit cevap evet. The computer can store up to 1000MB worth of images without any issues. Once beyond this point the hard drive could start having problems accessing the image folder causing the computer to run slower than normal, so the oldest images are overwritten automatically. Not: Tüm parçacık boyutu verileri, çok daha küçük boyutlu bir CSV dosyasında tutulur ve verileri daha uzun bir zaman çizelgesinde saklamanıza olanak tanır. Sistemlerimizin çoğu 1,2 MP kamera kullanır ve görüntülerin her biri ortalama 180 KB olduğundan, 1000 MB depolama alanı yaklaşık 5600 görüntüyü barındırabilir. Running 24 hours per day the system can roughly save the following number of images: Her 20 saniyede 1 fotoğraf çekiyorsanız, günde 4.320 görüntünüz olur. ~31,2 saat Her 20 saniyede 2 fotoğraf çekiyorsanız, günde 8.640 görüntünüz olur. ~15,5 saat Her 20 saniyede 3 fotoğraf çekiyorsanız, günde 12.960 görüntünüz olur. ~10,3 saat
When should I apply Calibration to my analysis?
To calibrate, or not to calibrate; that is the question. And it’s an important question to ask prior to installing your online bulk material analysis system, regardless of the industry you’re in. Let’s help you figure out why calibration may or may not be your best bet, and whether you will see value in calibrating your system. Görüntü tabanlı kaya parçalanma analizi teknolojisindeki eksikliklerden biri, bir konveyör bant üzerinde çalışan altta yatan malzemenin analiz edilememesidir. Bu nedenle, normal koşullarda, kalibrasyon olmadan, görüntü analizi kullanılırken ince malzeme tipik olarak yetersiz temsil edilir. Aynı şey blast parçalanma analizi için de söylenebilir ama buna biraz sonra yazının devamında değineceğim. Fotoğraf analiz teknolojileri malzemeyi üst katmanda temsil ediyorsa ve alttaki malzemeyi yetersiz temsil ediyorsa, bir işlem bu eksikliği kalibre ederek telafi edebilir. (Kalibrasyonla ilgili nasıl yapılır kılavuzu için bu bağlantıya bakın). The way I see it, without sounding too much like a broken record, calibrated photo analysis technologies take the best of both worlds: Quantity and quality. Take the following scenario as an example: Company ABC wants to adjust the SAG feed based on particle size analysis. By doing so, they need to know when to draw fine material from the stockpile and when to draw coarser material. Calibration allows for the proper “mix” of bulk material in order to optimize the process. The Swebrec and Rosin-Rammler functions are great for adjusting the distribution curve to accurately compensate for fine material… But what if you are looking strictly at the coarse sizes, say, for oversize detection? If this is the case, you may want to reconsider the calibration process. Allow me to explain: A calibrated system is making certain assumptions about material underneath the top layer and may even bias your coarse material fractions when trying to adjust the distribution curve. So, if you are planning on having a conveyor belt shut down if it detects material over x size, you may want to reconsider taking the chance of biasing your results. Instead, an uncalibrated system is going to get you very useful data that will allow you to stop/start/act on out-of-spec readings and optimize your process. What are other reasons why clients don’t calibrate? Malzeme çok büyük olduğunda, malzemeyi manuel olarak örneklemek çok daha zordur ve bu, maliyet açısından engelleyici olabilir. Bu sorun çoğunlukla, patlatma optimizasyonunun büyük ölçüde malzeme boyutundaki göreli değişiklikleri algılamaya dayandığı uygulamanın patlatma ucunda ortaya çıkar. Kırıcı sonrası analiz için, bazı müşteriler malzeme boyutundaki nispi artışlarla astar aşınmasını tespit eder, bu nedenle kalibrasyonu gereksiz kılar. Özetle, kalibrasyonun madencilik ve agrega endüstrilerinde ve daha spesifik olarak, daha ince malzeme boyutları çıkmazın gerekli bir parçası olduğu durumlarda kesinlikle kullanımları vardır; ancak, kalibre edilmemiş sistemler, sürecinizi optimize etmede ve göreli değişimi izlemede hala çok faydalıdır.
What is WipWare’s warranty policy?
WipWare Inc. provides a one-year limited warranty on all products, including components and software. To offer customers peace of mind, WipWare also offers an annual service contract, which includes exclusive technician service rates, monthly check-ins, extended system warranties, and more. With the purchase of any WipWare photoanalysis product, the warranty covers cross-shipping for any defective product under the WipWare Limited Warranty, ensuring minimal downtime for customers. Tam WipWare Sınırlı Garanti ayrıntıları için bkz. Burada.
WipWare benzersiz ürünleri için eğitimi nasıl kolaylaştırıyor?
WipWare goes above and beyond to ensure that not only customers, but any individual or company who may show interest in a WipWare product has the utmost training and confidence when it comes to utilizing our extensive line of photoanalysis systems. WipWare offers free training to individuals, companies, colleges, and universities interested in learning about our products. We recently conducted on-campus workshops for mining students at Queen’s University (Kingston), Laurentian University (Sudbury), and ÉTS University (Montreal). In addition to in-person sessions, we provide virtual training and have a library of training videos available for easy access. For more information about WipWare training please contact support@wipware.com
For more information about our systems, please visit our YouTube channel.
Tercihlerinizi ve tekrar ziyaretlerinizi hatırlayarak size en uygun deneyimi sunmak için web sitemizde çerezleri kullanıyoruz. “Kabul Et” seçeneğine tıklayarak TÜM çerezlerin kullanımına izin vermiş olursunuz.
Bu web sitesi, siz web sitesinde gezinirken deneyiminizi geliştirmek için çerezleri kullanır. Bunlardan gerekli olarak sınıflandırılan çerezler, web sitesinin temel işlevlerinin çalışması için gerekli olduğu için tarayıcınızda saklanır. Ayrıca, bu web sitesini nasıl kullandığınızı analiz etmemize ve anlamamıza yardımcı olan üçüncü taraf çerezleri kullanıyoruz. Bu çerezler, yalnızca sizin izniniz ile tarayıcınızda saklanacaktır. Ayrıca bu çerezleri devre dışı bırakma seçeneğiniz de vardır. Ancak bu çerezlerden bazılarını devre dışı bırakmak, tarama deneyiminizi etkileyebilir.
Web sitesinin düzgün çalışması için gerekli çerezler kesinlikle gereklidir. Bu çerezler, web sitesinin temel işlevlerini ve güvenlik özelliklerini anonim olarak sağlar.
Kurabiye
Süre
Açıklama
cookielawinfo-checkbox-analytics
11 ay
Bu çerez, GDPR Çerez İzni eklentisi tarafından ayarlanır. Çerez, "Analytics" kategorisindeki çerezler için kullanıcı onayını saklamak için kullanılır.
cookielawinfo-checkbox-işlevsel
11 ay
Tanımlama bilgisi, "İşlevsel" kategorisindeki tanımlama bilgileri için kullanıcı onayını kaydetmek için GDPR tanımlama bilgisi onayı tarafından ayarlanır.
cookielawinfo-checkbox-diğerleri
11 ay
Bu çerez, GDPR Çerez İzni eklentisi tarafından ayarlanır. Çerez, "Diğer" kategorisindeki çerezler için kullanıcı onayını saklamak için kullanılır.
cookielawinfo-onay kutusu-gerekli
11 ay
Bu çerez, GDPR Çerez İzni eklentisi tarafından ayarlanır. Çerezler, "Gerekli" kategorisindeki çerezler için kullanıcı onayını saklamak için kullanılır.
cookielawinfo-onay kutusu-performans
11 ay
Bu çerez, GDPR Çerez İzni eklentisi tarafından ayarlanır. Çerez, "Performans" kategorisindeki çerezler için kullanıcı onayını saklamak için kullanılır.
görüntülenen_cookie_policy
11 ay
Çerez, GDPR Çerez İzni eklentisi tarafından ayarlanır ve kullanıcının çerez kullanımına izin verip vermediğini saklamak için kullanılır. Herhangi bir kişisel veri saklamaz.
İşlevsel çerezler, web sitesinin içeriğinin sosyal medya platformlarında paylaşılması, geri bildirimlerin toplanması ve diğer üçüncü taraf özellikleri gibi belirli işlevlerin yerine getirilmesine yardımcı olur.
Performans çerezleri, ziyaretçiler için daha iyi bir kullanıcı deneyimi sunmaya yardımcı olan web sitesinin temel performans indekslerini anlamak ve analiz etmek için kullanılır.
Analitik çerezler, ziyaretçilerin web sitesiyle nasıl etkileşime girdiğini anlamak için kullanılır. Bu çerezler, ziyaretçi sayısı, hemen çıkma oranı, trafik kaynağı vb. ölçümler hakkında bilgi sağlamaya yardımcı olur.
Reklam çerezleri, ziyaretçilere alakalı reklamlar ve pazarlama kampanyaları sağlamak için kullanılır. Bu çerezler, web sitelerinde ziyaretçileri izler ve özelleştirilmiş reklamlar sağlamak için bilgi toplar.
TR 
EN 
FR 
DE 
PT 
RU 
ZH 
IT 
HI 
ES