AI Powered Monitoring of Paint Boilers for Occupational Health and Safety (OHS)
- yigitdogucu
- Jun 17
- 2 min read
Updated: Jun 25
In industrial settings, particularly within the chemical industry, neglecting simple indicators such as the condition of a paint boiler lid can result in significant workplace hazards. Potential consequences include poor indoor air quality, increased fire risks, and regulatory standards violations. Dataguess addresses these issues with an AI-powered monitoring system that is integrated into a comprehensive Occupational Health and Safety (OHS) infrastructure, ensuring safety across all environments.
The Challenge: Boiler Lid Monitoring and Safety Risks
Chemical manufacturers needed to solve:
Poor air circulation due to unmonitored open boiler lids
Fire risk caused by unsealed or improperly managed paint containers
Lack of real-time visibility into different factory zones
Without a robust monitoring mechanism, ventilation systems could not respond accurately to real-time conditions, posing safety and health concerns for on-site personnel.
The Dataguess Solution: Smart Monitoring with Project Studio
Dataguess implemented its versatile Project Studio solution to bring real-time visibility and intelligent safety automation to paint boiler environments.
Data Collection and Classification:
Cameras installed in various industrial environments collected images of paint boilers.
AI models were trained to identify and classify boilers as "open," "semi-open," or "closed."
Integration with MES and Visualization Tools:
Data from AI inference was integrated with MES software using the OPC UA protocol.
The Grafana dashboard was used to visualize the boiler state data across different zones, enabling both instant and historical monitoring.
Ventilation System Automation:
Based on the live status of the boilers, ventilation systems were dynamically activated or deactivated to maintain air quality and reduce fire risk.
Results: Safer Work Environments, Real-Time Safety Control
With the deployment of Dataguess Project Studio, companies were able to:
Monitor the status of boiler lids in real-time
Automatically adjust ventilation based on safety conditions
Significantly reduce fire hazards and air quality issues
Key Benefits:
Real-time classification of boiler lid positions
AI-driven ventilation control
MES integration for complete operational visibility
Compliance with OHS safety standards
Make Safety a System, Not a Reaction
Empower your chemical operations with AI-based monitoring that proactively prevents hazards. Dataguess Project Studio ensures a safer, more innovative workplace.
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