EQ Logic specializes in integration of AI to the industrial automation and process control systems across mining, manufacture and marine with below application and benefits.
Predictive maintenance in process control systems:
- Process Optimization: AI can optimize complex processes by analyzing real-time data with historic data and models to identify areas for improvement. AI can adjust control parameters, optimize resource allocation, and enhance product quality.
PROCESS OPTIMIZATION IN PROCESS CONTROL SYSTEMS
- Quality Control and Anomaly Detection: AI-powered algorithms can detect anomaly and identify defects and inconsistencies in products, ensuring that only high-quality products are produced there by improving efficiency and enhancing the quality
- AI can detect abnormal patterns and deviations from normal operating conditions, alerting to potential problems before they arise
- Energy Efficiency: AI can optimize energy consumption by analyzing energy usage patterns and identifying areas for improvement, such as optimizing equipment schedules and adjusting operating parameters.
ENERGY EFFICIENCY IN PROCESS CONTROL SYSTEMS
- Quality Control and Anomaly Detection: AI-powered algorithms can detect anomaly and identify defects and inconsistencies in products, ensuring that only high-quality products are produced there by improving efficiency and enhancing the quality
- AI can detect abnormal patterns and deviations from normal operating conditions, alerting to potential problems before they arise
- Energy Efficiency: AI can optimize energy consumption by analyzing energy usage patterns and identifying areas for improvement, such as optimizing equipment schedules and adjusting operating parameters.
Key appplications:
Predictive maintenance: AI algorithms analyses field instruments and equipment data with historical maintenance records to predict equipment failures before they occur. This proactive approach minimizes downtime, reduces maintenance costs, and improves overall system reliability.
We specialise in:
Process Control Systems Engineering
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Electrical Engineering
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Project management
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