Method and system for AR-based graded management education of laboratory safety risk

A method for AR-based graded management education of laboratory safety risk, comprising:

• collecting a laboratory image data and a sensor data and obtaining a risk grade matching rule of a laboratory;
• identifying an image feature data of the laboratory image data and a sensor feature data of the sensor data, converting the image feature data into a laboratory equipment name after matching and converting the sensor feature data into an equipment model after matching;
• 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
• according to a present plurality of AR template images for various risk grades, fusing and matching the AR template image corresponding to the identified image feature data and output risk grade to output an alarm information;
• wherein identifying the image feature data comprises:
• applying a gray threshold T to the laboratory image data using a gray threshold segmentation method, wherein f(x,y) represents a pixel value of a point (x,y) and pixel values of f(x,y) greater than the threshold T are segmented to obtain the segmented image g(x,y);
• and
• by using a Hough transform, selecting any point (a,b) within a shape of the segmented image g(x,y) as a reference point, and
• calculating a tangent direction ϕ and an offset vector r to a position of the reference point (a,b) and an included angle α between r and an x axis, from each point on an edge of a graph of an arbitrary shape,
• wherein calculating the reference point (a,b) is as follows:
• a=x+r(ϕ)cos(α(ϕ))
• b=x+r(ϕ)sin(α(ϕ)).