In the quest for quality production, controlling temperature variations within the kiln's burning zo...
Resources Listing
Burning Zone Temperature Prediction AI
In the quest for quality production, controlling temperature variations within the kiln's burning zone is paramount. The challenge lies in the diverse temperature ranges across the kiln, complicating monitoring and regulation. Low temperatures risk excess free lime, while excessive heat can compromise product quality and refractory lining integrity. This initiative focuses on predictive temperatur...
Asset Utilization (OEE) Monitoring AI
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying time spent in various phases. This analysis helps reduce unproductive process time, such as during cleaning and maintenance, and highlights differences in manual re-cleaning events between shifts. By quantifying opportunities to reduce waiting times, OEE monitoring supports improved efficiency and ...
CO & Nox Prediction for Boiler - Energy Sustainability
Effective prediction of NOx and CO emissions from boilers is crucial for regulatory compliance and environmental protection. Key process parameters (KPIs) correlated with emission levels include combustion temperature, fuel composition, air-to-fuel ratio, and flue gas recirculation rates. By analyzing both historic and real-time data, it is possible to predict NOx and CO emissions accurately. This...
Aggregate and Analyze Alarms
Aggregate and Analyze Alarms is a critical process in industrial settings aimed at enhancing operational efficiency and equipment reliability. This process involves consolidating alarm data from various sources to identify patterns and trends, facilitating engineers' analysis and troubleshooting efforts. By uncovering relationships between alarms, operators can gain deeper insights into underlying...
Asset Utilization (OEE) Monitoring
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying time spent in various phases. This analysis helps reduce unproductive process time, such as during cleaning and maintenance, and highlights differences in manual re-cleaning events between shifts. By quantifying opportunities to reduce waiting times, OEE monitoring supports improved efficiency and ...
Mineral Industry
Achieving optimal zinc recovery in the mineral industry is challenging due to the direct impact of processing efficiency on recovery rates. The interaction of key parameters in complex ways makes it difficult to pinpoint their specific effects on recovery. This use case focuses on optimizing the zinc ore beneficiation process to enhance recovery rates. By analyzing and understanding the interactio...
Bearing Failure Analysis
The recent bearing failures in the induced draft fan of the boiler system at a power plant have raised concerns. The challenge lies in determining the root cause, especially with limited events and no deviations observed in other critical variables. This use case focuses on conducting a comprehensive analysis of the bearing failures to identify the underlying cause. By leveraging advanced analytic...
Pitch Demand & Anode Density Prediction in Green Anode Plant
Anode density is intricately linked to the composition and properties of anode paste, where pitch plays a pivotal role. Accurate prediction of pitch demand is crucial to ensure optimal availability for production while achieving desired anode density. This use case tackles the challenge by developing predictive models to forecast pitch demand and anticipate anode density. Download the PDF to explo...
Chemical & Structural Properties Analysis of Coke & Pitch
Understanding key parameters like quinoline insoluble, softening point, VBD, real density, and moisture content is vital for assessing coke and pitch quality. However, statistical metrics for these parameters can significantly impact production, potentially affecting anode and metal quality. This use case explores the analysis of these properties and their production impact.
Data Driven Root-Cause Analysis
The occurrence of two electrodes being remelted from a single ingot has resulted in the rejection of defective ingots, with one deemed acceptable and the other rejected due to transverse cracks. This project aims to conduct a thorough root-cause analysis using data-driven methodologies. By analyzing relevant data points and patterns, we seek to identify the underlying factors contributing to the d...
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying...
Effective prediction of NOx and CO emissions from boilers is crucial for regulatory compliance and e...
Aggregate and Analyze Alarms is a critical process in industrial settings aimed at enhancing operati...
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying...
Achieving optimal zinc recovery in the mineral industry is challenging due to the direct impact of p...
The recent bearing failures in the induced draft fan of the boiler system at a power plant have rais...
Anode density is intricately linked to the composition and properties of anode paste, where pitch pl...
Understanding key parameters like quinoline insoluble, softening point, VBD, real density, and moist...
The occurrence of two electrodes being remelted from a single ingot has resulted in the rejection of...