Intelligent Process Control Through Natural Language
Revolutionary AI-powered system that combines Large Language Models with process knowledge for intuitive industrial process control and monitoring. A cutting-edge, private, and dedicated solution for process control, leveraging the power of Large Language Models (LLMs) to deliver context-aware insights and actionable intelligence. Designed with privacy at its core, the solution integrates seamlessly with process control infrastructure ensuring data confidentiality while enabling advanced natural language querying. By combining real-time process data with a domain-specific knowledge base, PROCON-AI empowers operators and engineers to optimize performance, diagnose faults, and streamline operations efficiently—all within a secure, scalable framework tailored to industrial needs.
Seamlessly integrated hardware, software, and AI capabilities
Real-world examples of PROCON-AI across different industries
User Query:
How has the chlorine dosing efficiency changed over the past week, and are there any concerning trends?
PROCON-AI Response:
The chlorine dosing efficiency has maintained an average of 95% over the past week, with a slight decrease to 92% during peak flow periods. While this is within acceptable ranges, I've noticed that efficiency drops correlate with increased turbidity in the intake water. Based on historical patterns, you might want to adjust the pre-treatment parameters during high turbidity events to optimize chlorine usage.
User Query:
Analyze the HVAC energy consumption patterns for the east wing offices and suggest optimization opportunities.
PROCON-AI Response:
Analysis of the past month shows that the east wing HVAC system is consuming 15% more energy than optimal. I've detected that zones 3 and 4 are simultaneously heating and cooling during 10am-2pm. Based on occupancy patterns and thermal mapping, you could save approximately 12% energy by: 1) Adjusting zone temperature setpoints to prevent overlap, 2) Implementing a 2°C temperature setback during low occupancy periods identified between 6PM-7AM.
User Query:
What's causing the increased vibration readings on production line 2's main conveyor system?
PROCON-AI Response:
The vibration amplitude on production line 2 has increased by 40% over the past 72 hours. Analyzing the frequency spectrum and comparing it with historical maintenance records suggests early signs of bearing wear in motor B. This pattern matches three previous incidents where bearing replacement was required. Recommended action: Schedule preventive maintenance within the next 48 hours to avoid unplanned downtime. Expected maintenance window: 4 hours.
Transform your industrial operations with AI-powered insights and natural language interaction.