Automated Risk Mitigation System for Industrial Hazard Prediction
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Solution Overview
Problem
Current technologies lack an effective solution for identifying and mitigating accidental events in industrial settings, where objects such as fuel tanks and batteries can exacerbate damage during incidents like fires.
Innovation Solution
A computer-implemented method and system that monitors industrial areas using sensing devices to collect data on environmental conditions and spatial relationships between objects. This data is used to predict potential hazards and identify mitigation actions from a knowledge corpus, which are then proactively implemented to prevent or manage accidental events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional risk analysis methods are used, then risk identification and management can be performed, but the process is complex and time-consuming requiring detailed information from multiple sources
Solution Approach 1:
The patent replaces manual risk analysis processes with an automated computer system that uses sensors, processors, and software algorithms to detect hazards and execute mitigation actions, eliminating the need for manual data collection and analysis while maintaining accurate risk identification
Solution Approach 2:
The system automatically monitors industrial areas, detects hazards, determines mitigation actions, and executes responses without requiring continuous human intervention, allowing the risk management system to serve itself and freeing up time for other operations
2Object-affected harmful factors
If proactive monitoring and mitigation actions are implemented, then potential damage can be reduced, but the system complexity increases with multiple sensing devices and processing components
Solution Approach 1:
The patent divides the monitoring system into separate functional modules including sensing devices for data collection, a processor for hazard determination, and actuation systems for mitigation, allowing each component to be optimized independently and simplifying overall system maintenance
Solution Approach 2:
The computer system serves multiple functions including data collection, hazard analysis, decision-making, and execution of mitigation actions through a single integrated platform, reducing the need for separate dedicated systems for each function
3Measurement precision
If detailed monitoring of environmental conditions and spatial relationships is performed, then hazard prediction accuracy improves, but the amount of data processing required increases
Solution Approach 1:
The patent extracts only the critical hazard-related information from the vast amount of sensor data, filtering out irrelevant details and focusing processing resources on identifying patterns that indicate potential accidents, thereby reducing data processing load while maintaining high detection precision
Solution Approach 2:
The system pre-processes and stores environmental data in a structured format before actual hazard events occur, enabling rapid analysis and response when hazards are detected without needing to process all historical data in real-time
Data Source
AI summary
In an approach to improve risk assessment and management, embodiments monitor a predetermined area by collecting, by one or more sensing devices, data related to environmental conditions and spatial relationships between one or more objects in the predetermined area. Further, embodiments determine, based on a model and the monitoring, that an accidental event is likely to occur within a predetermined distance or within the predetermined area. Additionally, embodiments identify a predetermined mitigation action from a knowledge corpus to apply to the accidental event; and proactively implementing the identified mitigation action to prevent or manage the accidental event.