Dust Mapping and Data-Driven Analysis in a Multi-Area Industrial Facility
Case Study

Overview:
Industrial Intelligence conducted a Dust Mapping Survey (DMS) at a large industrial manufacturing facility operating multiple production and support areas. The objective was to quantify dust accumulation, identify high-risk zones, and provide a data-driven foundation for improving safety, housekeeping efficiency, and system performance.
The assessment focused on multiple operational areas within the facility, including production spaces and adjacent control/electrical rooms.

Challenge:
The facility faced common industry challenges related to combustible dust management:
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No standardized method for quantitatively measuring dust accumulation
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Reliance on visual inspection and periodic cleaning schedules
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Limited visibility into how dust accumulates across different areas and elevations
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Uncertainty around the effectiveness of dust collection systems
As a result, decision-making around cleaning, maintenance, and risk mitigation was largely reactive.

Solution:
Industrial Intelligence deployed its Dust Mapping Survey (DMS) methodology to systematically measure and analyze dust accumulation across the facility.
Scope of Work:
The Dust Mapping Survey was designed to capture a comprehensive and representative data set of dust accumulation across multiple operational environments within the facility.
Key elements of the scope included:
3D Facility Scanning and Planning
High-resolution 3D scans of each area were completed to create an accurate representation of the facility environment. These scans were reviewed collaboratively with facility management to identify the most representative and high-priority locations for dust sampling.
Room-Level Segmentation
Each area was broken down into distinct rooms or zones to allow for detailed comparison of dust accumulation patterns across different operational environments.
Surface Diversity
Sampling locations included a range of surface types such as equipment, structural members, flat surfaces, and elevated features to ensure a representative understanding of dust behavior.
Consistent Measurement Methodology
Standardized procedures were used across all sampling locations to ensure consistency and comparability of results.
Spatial Data Mapping
All collected data points were mapped to their physical locations within the facility, enabling visualization of dust distribution patterns.
Multi-Area Coverage
Surveyed multiple production and support areas, including active processing spaces and adjacent rooms such as control and electrical areas where dust accumulation may go undetected.
Multi-Elevation Sampling
Dust samples were collected at varying heights—ranging from near floor level to elevated structural and equipment surfaces (up to approximately 15–20 feet above finished floor)—to capture realistic accumulation patterns that are often missed in standard inspections.
Strategic Sampling Locations
Sampling points were selected based on operational relevance, process flow, airflow patterns, and areas with a higher likelihood of accumulation, ensuring that the data reflects actual facility conditions.
Quantitative Data Collection
Dust accumulation was measured and recorded in standardized units, enabling objective comparison across areas, rooms, and elevations.
Collaborative Review & Expansion Planning
Final findings were reviewed with plant management and safety personnel. The immediate visibility and clarity of the results enabled stakeholders to quickly recognize the benefits of the data-driven approach, leading to the scheduling of additional dust mapping surveys across other facility locations.
Data Collection & Analysis:
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Dust samples were collected at defined locations throughout each area
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Measurements were recorded and mapped spatially
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Heat maps were generated to visually represent accumulation levels across the facility
In addition to quantifying dust accumulation, the DMS is used to determine the optimal placement and quantity of Continuous Dust Accumulation Monitors (CDAMs), ensuring that ongoing monitoring is both accurate and representative of actual facility conditions.
This process creates a detailed, quantitative view of dust distribution that had not previously been available.
Key Findings:
The Dust Mapping Survey revealed several important insights:
1. Uneven Dust Distribution
Dust accumulation varied significantly across different areas and rooms, even within the same operational zone.
2. Elevated Accumulation in Non-Obvious Areas
Higher levels of dust were identified in areas not typically prioritized for inspection or cleaning, including elevated surfaces and enclosed spaces.
3. Variation Across Elevations
Dust levels differed meaningfully between low and high surfaces, highlighting the importance of measuring beyond ground-level observations.
4. Limited Visibility into System Performance
The data suggested opportunities to better evaluate and optimize dust collection system performance in certain areas.

Impact:
The results of the Dust Mapping Survey provided immediate and actionable value:
Data-Driven Decision Making
Facility personnel gained access to real, measurable dust accumulation data, enabling more informed, company-specific decisions around safety and operations.
Improved Housekeeping Efficiency
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Cleaning efforts could be targeted to areas with the highest accumulation
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Reduced unnecessary cleaning in low-risk areas
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More effective allocation of labor and resources
Enhanced Risk Awareness
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Identification of previously unrecognized accumulation zones
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Improved understanding of how dust builds over time and space
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Stronger foundation for safety planning and risk mitigation
Better System Evaluation
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Greater visibility into dust collection effectiveness
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Identification of potential areas for system optimization
Next Step: Continuous Monitoring
Following the Dust Mapping Survey, Industrial Intelligence recommended deployment of its Continuous Dust Accumulation Monitors (CDAM).
Using the insights from the DMS, monitors are strategically placed in locations that best represent dust accumulation patterns across the facility, ensuring accurate and meaningful ongoing measurement.
With CDAM:
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Dust accumulation is continuously measured
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Data is streamed to a real-time dashboard
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Operators can monitor trends over time and respond proactively
This transition moves the facility from a snapshot-based assessment to continuous, data-driven dust management.

This case study demonstrates how Industrial Intelligence’s Dust Mapping Survey transforms combustible dust from an invisible, poorly understood hazard into a measurable and actionable data set.
By combining detailed spatial mapping, quantitative analysis, and strategic monitor placement, facilities can:
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Reduce risk through better-informed decisions
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Improve operational efficiency
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Evaluate and optimize system performance
Combined with continuous monitoring, this approach enables a proactive, scalable strategy for managing dust across industrial operations.
Conclusion:
