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Block Model Conformation Method: Hybrid GPS-Scan Driven
Block Model Conformation Method: Hybrid GPS-Scan Driven

Description of the operational mechanism and appropriate use cases for the Hybrid GPS-Scan Driven Block Model Conformation Mehod.

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Written by René
Updated over a week ago

What is the Hybrid GPS-Scan Driven Conformation Method?

The Hybrid GPS-Scan Driven Model Conformation approach is designed to address the challenges of managing stockpiles at sites where GPS data for tracking material flows (dumps/reclaims locations) is either incomplete or entirely absent. In these situations, our traditional conformation methods such as LDA (Local Density Adjustment) or RRB (Relative Redistribution of Batches), which heavily rely on GPS events, may not be suitable. Instead, this approach utilizes regular scan surveys and daily material movement totals to meticulously update and refine stockpile models, providing invaluable and up-to-date information.

Key Steps to Understand the Hybrid GPS-Scan Driven Conformation Method

To gain a comprehensive understanding of the Hybrid GPS-Scan Driven Conformation Method and effectively implement it, it's essential to grasp its fundamental steps and processes. These key elements will help you navigate how this approach works:

  1. Identify Data Gaps: The initial step involves recognizing areas within your stockpile site where GPS data for tracking material flows (specifically the locations of material dumps and reclaim) is either incomplete or entirely absent. This foundational understanding highlights the method's necessity in addressing data gaps.

  2. Leverage Scan Surveys: The method heavily relies on the utilization of regular scan surveys. These surveys play a pivotal role in capturing precise and detailed data regarding the distribution of materials within stockpiles. Understanding how to effectively conduct and utilize these surveys is central to implementing the Hybrid GPS-Scan Driven Conformation Method. The most frequent scans result in the most accurate stockpile block models.

  3. Daily Totals Integration: Daily material movement totals with the respective origin, destination and material qualities and quantities, while not providing real-time data, are a critical component of this method. They are incorporated into stockpile modeling to ensure that the models are continually refined. Learn how to seamlessly integrate these daily totals to keep your stockpile information current and reflective of material movements over time. If the site partially operates with FMS, that data can be integrated as well to the stockpile system to enable the partial tracking of material flows by gps coordinates.

  4. Flexible Processing: Recognize the flexibility inherent in processing both scan surveys and daily material movement totals. This adaptability allows the method to accommodate varying density patterns and account for adjustments related to material grade changes. Understanding this aspect is essential for tailoring the method to specific stockpile management requirements.

  5. Handling Grades: In cases where no GPS data is available, the model primarily relies on a Weighted Average Model (WAM) to estimate material properties. However, in areas with partial GPS data, the model incorporates both detailed grades from available GPS data and weighted average grades for areas without GPS data. This combination allows the model to provide more accurate and detailed information where GPS data is available while making educated estimations using weighted averages in areas without GPS data.

Please note that the specific implementation details may vary depending on your system and data sources. The information provided here offers a general framework for understanding how the Hybrid GPS-Scan Driven Conformation Method operates. The model can be configured and adapt it to suit your unique stockpile management needs.

When to Use the Hybrid GPS-Scan Driven Conformation Method?

The Hybrid GPS-Scan Driven Conformation Method is most beneficial in specific scenarios:

  • Incomplete GPS Data: When GPS data for tracking material flows (dumps and reclaims locations) is incomplete or entirely absent.

  • Regular Scan Surveys: When scan surveys are conducted regularly, providing reliable data of the actual topogaphy of the stockpiles, enabling continous block model calibration.

  • Daily Material Movement Totals: When daily material movement totals are available and can be integrated into stockpile modeling.
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Benefits of the Hybrid GPS-Scan Driven Conformation Method

Implementing the Hybrid GPS-Scan Driven Conformation Method offers several advantages:

  1. Timely Information: Even in the absence of complete GPS data, the method ensures that you have timely and acceptable information about stockpiled materials.

  2. Up-to-Date Dashboards: Dashboards and metrics stay consistently up-to-date, reducing delays and manual data curation efforts.

  3. Enhanced Decision-Making: Enables confident decision-making about stockpile resources and mine planning, even in cases of incomplete GPS data to track material flows.

How to implement the Hybrid GPS-Scan Driven Conformation Method

Please reach out IntelliSense.io support team for assistance in configuring the Hybrid GPS-Scan Driven Conformation Method or selecting from the available options that best suit your needs.

Conclusion

In conclusion, the Hybrid GPS-Scan Driven Conformation Method provides a powerful solution for stockpile management in situations where GPS data to track material flows is incomplete or missing. By understanding its key steps, knowing when to use it, and recognizing its benefits, you can leverage this method to maintain up-to-date and accurate information about your stockpiled materials, ultimately improving decision-making and resource management.

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