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Occupation al Health Safety Prevention Program for Industry 4.0

Type de projet

Analytics and AI developement

Date

2023

Emplacement

Montreal

Preventera is an advanced tool that transforms static data from prevention programs and Occupational Health and Safety Management Systems (OHSMS) into real-time AI (Artificial Intelligence) actions. Here’s how it operates and examples of its application:

Transformation of Data into AI Actions
Data Collection and Analysis: Preventera continuously collects data from various sources such as IoT sensors, incident reports, and risk assessments. It analyzes this data in real-time using AI.
Risk Prediction: By utilizing advanced algorithms, Preventera identifies trends and patterns in the data to predict potential risks before they occur.
Real-Time Actions: Based on its analysis, Preventera triggers immediate alerts and recommendations for team members, enabling preventive actions.
Risk Analysis: Preventera employs AI algorithms to analyze statistics and historical data, such as work-related accidents involving heights or forklift incidents, to identify risk trends and patterns.
Accident Prevention:
Using collected data, such as the causes of fatal accidents related to working at heights or confined spaces, Preventera identifies potential risks and proposes appropriate preventive measures.
Training and Awareness: Preventera’s AI analyzes gaps in training and supervision identified in accident reports and helps to develop targeted training programs for employees.
Compliance and Operations Management: Preventera tracks current regulations and ensures that work practices comply with safety standards. It also helps optimize operations management by reducing risks of MSDs, falls, confined space incidents, etc.
Practical Applications
Fall Risk Management: Preventera uses data on falls through fragile roofs to develop real-time alerts and recommendations for securing work sites at height.
Hazardous Energy Control: By analyzing incidents related to mobile equipment, Preventera proposes adapted energy control strategies to reduce accidents.
BPMN Process Improvement: Preventera identifies inefficiencies in current processes (such as supervision or forklift traffic management) and suggests improvements based on best practices and collected data.
Support for Confined Space Workers: By integrating alerts for gas detection or the lack of protective equipment, Preventera enhances the safety of employees working in confined spaces.
With Preventera, static data from prevention programs and OHSMS is transformed into meaningful and immediate AI actions, strengthening worker safety and improving work processes. This dynamic, data-driven approach represents the future of EHS management, where technology directly serves workplace safety and efficiency.

Revolutionizing Health and Safety Processes with Preventera
Inspections:
Automation and Optimization: Preventera automates inspections by collecting and analyzing data in real-time, enabling rapid identification of risk areas and more effective interventions.
Enhanced Reports: The AI generates detailed inspection reports, highlighting issues and recommending corrective actions.
Accident Investigations:
In-Depth Analysis: Utilizing AI, Preventera helps analyze the root causes of accidents, examining historical data and trends to understand contributing factors.
Prevention of Future Incidents: The insights gained from these analyses inform prevention strategies, thereby reducing the risk of recurrence.
Accurate Risk Assessment: Preventera uses AI to analyze potential risks in various work scenarios, based on both historical and current data. This approach allows the identification of risks that might be overlooked by traditional methods.
Customization of Prevention Strategies: Through in-depth analysis, Preventera proposes customized strategies for each specific situation, thus improving the effectiveness of preventive measures.
Accident Reporting:
Simplification and Speed: Preventera simplifies the accident reporting process, enabling quick and accurate data entry through user-friendly interfaces.
Tracking and Analysis: The tool ensures efficient tracking of reported accidents, analyzing data to identify trends and risk factors, which helps in the continuous improvement of safety practices.
Transformation of Processes by Preventera
Improvement of BPMN (Business Process Model and Notation): Preventera not only transforms individual processes but also enhances business process models in OHS. This includes standardizing procedures, optimizing workflows, and integrating best safety practices into daily operations.
Employee Support: By providing real-time analysis and recommendations, Preventera assists employees in making informed decisions in the field, thus reinforcing the safety culture within the organization.
Conclusion
With Preventera, organizations can transform their OHS processes into dynamic, data-driven, and highly effective systems. This tool brings significant added value to occupational health and safety, leveraging the power of AI for proactive risk management.

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