Generative AI-Powered JSA Auto-Generation System
A cutting-edge solution designed to revolutionize Job Safety Analysis (JSA) by leveraging generative AI. This system automates the creation of JSA documents, ensuring higher accuracy and efficiency. Developed by UDMTEK Co., Ltd., it aims to enhance workplace safety and compliance.
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Addressing Key Challenges with AI-Based JSA Generation
The AI-powered JSA system addresses the critical need for proactive hazard identification and risk mitigation. By automating the JSA process, it helps organizations prevent major industrial accidents, ensure legal compliance, and improve overall safety culture. Key benefits include reduced preparation time, enhanced documentation quality, and comprehensive hazard analysis
JSA Overview
JSA (Job Safety Analysis)

A structured process to proactively identify job-related hazards
Define preventive actions to protect workers and reduce accident risks

JHA (Job Hazard Analysis)

A process similar to Job Safety Analysis (JSA),but with a stronger focus on identifying and evaluating potential risk factors during routine job activities
Planning control measures to mitigate those risks

JSA (Job Safety Analysis)

A structured process to proactively identify job-related hazards
Define preventive actions to protect workers and reduce accident risks

JHA (Job Hazard Analysis)

A process similar to Job Safety Analysis (JSA),but with a stronger focus on identifying and evaluating potential risk factors during routine job activities
Planning control measures to mitigate those risks

Importance of JSA
  1. Technical Effects
    Workplace Accident Prevention

    Identifies and evaluates potential hazards in advance to prevent accidents
    Ensure worker safety—emphasizing prevention over post-incident response.

  2. Positive Societal Effects
    Establishing a Strong Safety Culture

    Enhancing safety awareness and management capabilities across all organizational members, while fostering a sustainable culture of industrial safety

  3. Economical Effects
    Clarification of Legal Responsibility

    Legal protection for employers and avoidance of costly plant closures through compliance with strengthened safety regulations..
    Conduct risk assessments and Display mandatory safety signage

  1. Technical Effects
    Workplace Accident Prevention

    Identifies and evaluates potential hazards in advance to prevent accidents
    Ensure worker safety—emphasizing prevention over post-incident response.

  2. Positive Societal Effects
    Establishing a Strong Safety Culture

    Enhancing safety awareness and management capabilities across all organizational members, while fostering a sustainable culture of industrial safety

  3. Economical Effects
    Clarification of Legal Responsibility

    Legal protection for employers and avoidance of costly plant closures through compliance with strengthened safety regulations..
    Conduct risk assessments and Display mandatory safety signage

Technical Advantages
Technical Advantages of the JSA System
The system offers full workflow automation from user query to final output, leveraging large language models (LLMs) for enhanced accuracy. It integrates seamlessly with existing SHE (Safety, Health, Environment) systems and provides real-time recommendations based on a comprehensive vector database
Technical Advantages of the JSA System
The system offers full workflow automation from user query to final output, leveraging large language models (LLMs) for enhanced accuracy. It integrates seamlessly with existing SHE (Safety, Health, Environment) systems and provides real-time recommendations based on a comprehensive vector database
Operating Principle of AI-Based JSA Auto-Generation
AI-Based JSA Auto-Generation Powered by LLMs
– Full Workflow Automation from User Query to Final Output –
  • User Query

    Input of Job Details for Risk Analysis

  • Digital Transformation

    Converting Text to Structured Data for AI Interpretation

  • Vector Database Search

    Retrieve Existing Cases with High Similarity to the User Query

  • Case Generation

    Recommend Relevant Cases Based on User Query and Existing Examples

  • Answer Generation

    Generate and Recommend Accident Types, Risk Factors, Control Measures, and Severity Levels

User Query

Input of Job Details for Risk Analysis

Digital Transformation

Converting Text to Structured Data for AI Interpretation

Vector Database Search

Retrieve Existing Cases with High Similarity to the User Query

Case Generation

Recommend Relevant Cases Based on User Query and Existing Examples

Answer Generation

Generate and Recommend Accident Types, Risk Factors, Control Measures, and Severity Levels

Key Functional Features
AI-Powered Recommendation Engine

Combines past JSA cases with domain-specific knowledge to suggest relevant hazard types, risk factors, and control measures

Real-Time Data Saving

Ensures that all input data is saved in real-time, enhancing data integrity and accessibility

Usability Dashboard

Provides a user-friendly interface for monitoring and error handling, improving overall system usability

Generative AI Integration

Utilizes generative AI to improve contextual understanding and sentence quality in JSA documents

AI-Powered Recommendation Engine

Combines past JSA cases with domain-specific knowledge to suggest relevant hazard types, risk factors, and control measures

Real-Time Data Saving

Ensures that all input data is saved in real-time, enhancing data integrity and accessibility

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Usability Dashboard

Provides a user-friendly interface for monitoring and error handling, improving overall system usability

Generative AI Integration

Utilizes generative AI to improve contextual understanding and sentence quality in JSA documents

Implementation Procedure
01
Data Preparation

Organizing existing JSA documents and accident case data, building industry-specific terminology, and verifying content through expert interviews.

02
Data Preprocessing

Cleaning, transforming, and integrating data, standardizing terminology, and extracting key JSA elements.

03
Vector DB Construction

Designing the schema for the vector database, building a dataset of similar JSA documents, and implementing the vector DB using Lance DB.

04
AI Model Building

Developing modules for hazard types, severity levels, risk factors, and control measures.

05
UI/UX Design & Development

Creating a web-based system with built-in JSA auto-generation features, based on user requirements.

01
Data Preparation

Organizing existing JSA documents and accident case data, building industry-specific terminology, and verifying content through expert interviews.

02
Data Preprocessing

Cleaning, transforming, and integrating data, standardizing terminology, and extracting key JSA elements.

03
Vector DB Construction

Designing the schema for the vector database, building a dataset of similar JSA documents, and implementing the vector DB using Lance DB.

04
AI Model Building

Developing modules for hazard types, severity levels, risk factors, and control measures.

05
UI/UX Design & Development

Creating a web-based system with built-in JSA auto-generation features, based on user requirements.

Try the Demo Now

See how it works with a live demo. Try out the features and discover the benefits in real time!

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