Rapid Coal Quality Assessment
Measure key coal-quality indicators including moisture, ash, volatile matter, sulfur, fixed carbon and calorific value.
Coal & Mining Inspection
Multispectral coal-quality assessment for laboratory, inline and online process monitoring
Discuss Your Requirements
Inspection Priorities
Incoming Material & Process Control
Support faster assessment of incoming coal, washed coal, feed coal and coke so quality information can be used earlier in production, blending and acceptance decisions.
Multi-Parameter Characterisation
Assess organic, mineral and elemental characteristics across raw coal, pulverised coal, washed coal and coke samples.
Sensing & System Configuration
THz/NIR/LIBS · Portable / Inline / Laboratory · AI-Assisted Analysis
Complementary sensing methods and deployment platforms are selected to suit the inspection task.
| Capability | Configuration & Purpose |
|---|---|
| Terahertz — THz | THz time-domain spectroscopy provides information related to dielectric response, moisture distribution and organic/mineral differences in coal samples. |
| Near-Infrared — NIR | NIR spectroscopy captures absorption features associated with C–H, O–H and N–H groups and supports prediction of indicators such as volatile matter, fixed carbon and calorific value through calibrated models. |
| LIBS Elemental Analysis | Laser-induced breakdown spectroscopy provides elemental information, supporting analysis of sulfur and mineral-related constituents including Si, Al, Fe, Ca, Na and K. |
| AI-Assisted Multispectral Analysis | Multimodal models combine spectral inputs for denoising, indicator prediction, anomaly flagging and structured output. |
| Portable / At-Line Systems | Compact systems support field sampling, laboratory rapid re-checks and trade or receiving-point assessment. |
| Process & Enterprise Integration | Data can be connected to local control or enterprise systems for trend analysis, alarms and quality-management workflows where required. |
System formats
Sensing principles
Results & Deliverables
Deliverables are defined around the selected measurement configuration and your coal-quality workflow.
Coal Quality Indicators
Rapid output of selected quality parameters such as moisture, ash, volatile matter, sulfur, fixed carbon and calorific value, with additional indicators available where the corresponding model and validation dataset have been established.
Spectral & Sample Records
Measurement results can be linked with sample identity, spectral data, measurement time and batch information to support traceability, re-checking and model review.
Trend Analysis & Quality Alerts
For repeated or process-connected measurements, outputs can support quality trending, threshold alerts and earlier identification of material changes.
Custom Coal Inspection Systems
Application-specific systems can combine THz, NIR and LIBS sensing with sample handling, local AI models, automation and plant or laboratory interfaces around agreed coal types, particle size, throughput and reporting requirements.
Test results
Systems that support this application
Customised for Your Operation
Discuss Your RequirementsWe welcome the opportunity to discuss your coal type, quality-control priorities and existing sampling or process workflow.
Drawing on previous deployment experience, we can configure the sensing combination, sample preparation, measurement format, AI model and system interfaces around your required indicators, coal characteristics, throughput and operating environment.
Solutions can be developed for portable testing, laboratory rapid analysis, at-line monitoring or more integrated production workflows, depending on where faster coal-quality information creates the most value.
Contact us to discuss your measurement requirements and explore a configuration tailored to your site and quality-management process.