: Establishing protocols for how different risk levels should be handled (e.g., immediate work stoppage vs. routine monitoring).
: Compiling cases and historical data to list potential threat factors.
Recent safety studies often combine the rules of with advanced AI algorithms to improve accuracy. For example, researchers use the code's risk tables as a baseline for models involving Support Vector Machines (SVM) and BPSO algorithms to predict water or sand gushing in foundation pits.
If you'd like, I can help you find more from the code or summarize its safety protocols for a specific type of underground work.