AR Laboratory Risk Grading for Interactive Safety Education
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Solution Overview
Problem
Traditional laboratory safety education methods, such as oral explanations, are ineffective in conveying complex safety rules and risk grades to students, leading to poor understanding and frequent laboratory safety issues.
Innovation Solution
An AR-based graded management education system that combines augmented reality technology with laboratory risk management grading rules, using image features and sensor data to provide intuitive and interactive safety education, visual warnings, and instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional oral explanation methods are used for laboratory safety education, then the education can be delivered to students, but the education effect is poor and students cannot fully understand safety rules
Solution Approach 1:
The patent replaces traditional oral explanation methods with augmented reality technology. The AR system overlays virtual safety information, equipment models, and risk warnings onto the real laboratory environment, transforming abstract verbal instructions into concrete visual representations that students can interact with directly in the laboratory space.
Solution Approach 2:
The patent introduces an AR terminal as an intermediary between the laboratory environment and students. This intermediary captures real-time images of laboratory equipment, processes them through image recognition algorithms to identify safety risk grades, and presents customized safety information through augmented reality, thereby bridging the gap between complex safety rules and student understanding.
2Adaptability or versatility
If complex rules for different safety risk grades are provided, then comprehensive safety coverage is achieved, but students find it difficult to deeply understand operation modes
Solution Approach 1:
The patent applies local quality by providing customized safety information specific to each identified equipment or area. The system recognizes different safety risk grades (first, second, third grade) for different laboratory equipment and displays针对性的 safety operation modes and risk warnings for each specific location, rather than presenting uniform complex rules everywhere.
Solution Approach 2:
The patent transforms two-dimensional complex text rules into three-dimensional augmented reality visualizations. The AR system overlays virtual safety information, equipment models, and operation mode demonstrations directly onto the physical laboratory equipment, adding spatial and interactive dimensions that make complex rules more intuitive and easier to understand.
3Reliability
If AR technology is used to provide intuitive safety education, then student understanding improves, but the system complexity increases
Solution Approach 1:
The patent designs the AR terminal to perform multiple functions: capturing real-time images of laboratory equipment, performing image recognition to identify safety risk grades, retrieving corresponding safety information from databases, and presenting augmented reality visualizations. This multi-functional design consolidates what would otherwise require multiple separate systems into a single integrated device.
Solution Approach 2:
The system employs automated image recognition algorithms that automatically identify laboratory equipment and determine safety risk grades without manual intervention. The AR terminal autonomously captures images, processes them through recognition models, retrieves appropriate safety information, and displays customized content, reducing the need for complex manual configuration and management.
Data Source
AI summary
A method and system for AR-based graded management education of laboratory safety risk are provided, which includes following steps: collecting laboratory image data and sensor data and obtaining a risk grade matching rule of a laboratory; identifying image feature data of the image data and sensor feature data of the sensor data, converting matched image feature data into a laboratory equipment name and converting matched sensor feature data into an equipment model; inputting the equipment name and a corresponding equipment model and quantity into the risk grade matching rule of the laboratory, and outputting a risk grade of a current laboratory according to the risk grade matching rule of the laboratory; and fusing and matching a AR template image corresponding to the identified and output risk grade and real image information according to preset AR template images for various risk grades, so as to output alarm information.