Enhancing AI & IoT-driven
“Intelligent“ Facility Management


AI-Driven
Health & Safety
Automation
with predictive Intelligence

PROSafety is designed to ensure the safety of employees in hazardous work environments by leveraging real-time location systems (RTLS), smart alerts, and AI-powered insights. Its primary goal is to prevent accidents and ensure a safe workplace by proactively identifying and mitigating risks.
PROSafety combines smart RTLS technology with PROAI’s AI-driven insights to create a safer workplace. By proactively monitoring risks, sending real-time alerts, and providing actionable insights, PROSafety significantly reduces accidents and fosters a culture of safety and accountability. This innovative solution ensures that employees can work confidently and securely in even the most hazardous environments.


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Accident Prevention: Warns employees when they approach risky areas such as machine operation zones, chemical storage, or explosive materials locations.
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Real-Time Safety Alerts: RTLS cards provide instant feedback to employees, reducing reaction time and preventing potential incidents.
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Enhanced Operational Awareness: Facility managers can monitor high-risk areas and staff movements to ensure compliance with safety protocols.
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Proactive Risk Management: Reduces accidents by predicting hazardous scenarios and deploying preventive measures.
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Improved Safety Culture: Encourages employees to adhere to safety protocols through advanced monitoring and data-driven insights.

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How PROAI Supports PROSafety
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Risk Zone Mapping: PROAI continuously monitors work zones and identifies high-risk areas using data from IoT sensors and RTLS systems.
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Updates risk maps dynamically as new hazards emerge or work conditions change.
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Incident Tracking and Analysis: Logs incidents, near-misses, and safety violations to identify patterns and recurring issues.
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Provides detailed reports to help managers address root causes and implement targeted improvements.
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Task Assignment for Safety Compliance: Assigns safety checks, inspections, and maintenance tasks to relevant personnel.
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Ensures tasks are completed on time, reducing risks associated with neglected hazards.
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Employee Training Recommendations: Analyzes data to identify staff who may require additional training based on their interaction with high-risk zones or safety incidents.


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Use Case: PROTechnic&Safety – End-of-Day Summary & Optimization
Facility Manager's Inquiry:
FM:
"PROAI, provide me yesterday's safety report. Include improvement suggestions, details about any near-miss incidents, and identify locations with increased risk compared to benchmarks."
PROAI's Response:
PROAI:
"Here’s the safety report for yesterday:"
Daily Safety Summary:
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Total Incidents Logged:
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Near-Miss Events: 3 incidents reported.
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Safety Violations: 1 unauthorized entry into a machine zone.
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Risk Zone Overview:
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Increased Risk Locations:
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Machine Operation Zone (Zone A): Near-miss involving an employee entering while equipment was active.
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Chemical Storage Area (Zone D): Elevated risk due to incomplete safety inspections.
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Employee Interventions:
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RTLS cards issued 14 real-time warnings to staff approaching hazardous areas.
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All warnings successfully averted potential incidents.
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Details of Near-Miss Events:
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Zone A - Machine Operation:
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Incident: Staff Y entered the active machinery zone.
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Cause: Lack of awareness of active equipment.
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Action Taken: RTLS alert issued; staff exited immediately.
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Recommendation: Add visual hazard signage and enforce mandatory pre-shift hazard training.
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Zone D - Chemical Storage:
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Incident: Staff failed to wear proper PPE while handling chemicals.
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Cause: Inadequate adherence to safety protocols.
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Action Taken: Supervisor notified; task reassigned to trained personnel.
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Recommendation: Conduct safety refresher training for chemical handling procedures.
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Zone B - High Traffic Area:
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Incident: Crowding led to a near collision of two forklifts.
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Cause: Poor coordination during peak hours.
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Action Taken: Supervisor adjusted traffic flow to avoid further risks.
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Recommendation: Implement a dynamic scheduling system to reduce congestion during peak hours.
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Benchmark Analysis:
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Risk Levels Compared to Benchmarks:
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Zone A: Risk increased by 20% due to equipment activity during peak shifts.
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Zone D: Inspection delays led to a 15% rise in safety alerts.
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Zone B: Congestion contributed to a 12% rise in near-miss events.
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Improvement Suggestions:
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Training & Awareness:
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Schedule weekly safety refreshers for high-risk zones.
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Increase awareness campaigns about RTLS alerts and their importance.
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Inspection Compliance:
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Automate inspection scheduling for critical zones like Zone D to avoid delays.
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Resource Optimization:
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Deploy additional staff during peak hours to manage traffic flow and reduce congestion in Zone B.
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Visual Aids:
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Enhance hazard markings and install LED alerts in machine operation zones.
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Facility Manager’s Request:
FM:
"PROAI, notify the operations team about these risks and implement the training recommendations for Zones A and D. Also, generate a PDF report and schedule a review meeting tomorrow at 11 AM."
PROAI's Execution:
PROAI:
"Actions initiated:
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Notifications sent to the operations team regarding increased risk zones.
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Weekly training sessions scheduled for Zones A and D starting next Monday.
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PDF report generated and emailed.
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Review meeting scheduled for tomorrow at 11 AM.
Would you like reminders sent to attendees 30 minutes before the meeting?"
FM:
"Yes, send reminders. Great work, PROAI!"
PROAI:
"Thank you! Looking forward to optimizing further tomorrow!"
