Risk assessment system and risk assessment method

An AI-driven risk assessment system automates and improves efficiency in risk assessments at work sites by collecting past data, simulating scenarios, and generating risk scenarios, reducing human error and enhancing safety.

JP2026104692APending Publication Date: 2026-06-25HITACHI BUILDING SYST CO LTD

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
HITACHI BUILDING SYST CO LTD
Filing Date
2024-12-13
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Manual risk assessments at work sites, such as elevator installation, are time-consuming, labor-intensive, prone to human error, and inefficient in utilizing past results, leading to potential delays in risk prediction and countermeasure proposals.

Method used

An AI-based risk assessment system that includes a data collection module, simulation unit, simulation integration module, AI risk assessment module, and assessment dashboard to automate risk assessments by collecting past data, simulating work scenarios, analyzing risks, and generating risk scenarios.

Benefits of technology

Enables efficient, automated risk assessments with reduced human error, allowing real-time risk prediction and proactive countermeasure proposals, thereby enhancing safety and preventing accidents at work sites.

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Abstract

To automate and efficiently perform risk assessments at various work sites, including elevator installation sites. [Solution] The risk assessment system 100 of the present invention comprises a data collection unit 111 that collects risk assessment data showing the results of risk assessments previously conducted on site; a simulation unit 120 that simulates on-site work content based on past work content and outputs work simulation result data; a data analysis unit 141 that analyzes the risk assessment data and work simulation result data as training data; and a risk scenario generation unit 143 that generates a risk scenario for on-site work content based on the analysis results of the data analysis unit 141.
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