The invention relates to the technical field of
mine safety early warning, and particularly provides a mine risk early warning method based on multi-parameter fusion and
trend prediction, and the method comprises the steps: collecting multi-dimensional safety parameters including mine environment, equipment operation and production working condition parameters in real time; acquiring mine historical data, and generating a parameter association
feature set through
time sequence analysis in combination with real-time multi-dimensional parameters; inputting the multi-dimensional parameters and the
feature set into a trained risk
trend prediction model, and outputting a current
risk level and an evolution trend; according to the
risk level, the evolution trend and the real-time parameters, early warning information and a
response strategy are dynamically generated; and the
communication link is adapted based on the
risk level, and the early warning information and the strategy are pushed to the target terminal. The method breaks through
single parameter monitoring limitation, breaks through traditional alarm
hysteresis through multi-parameter fusion and trend pre-judgment, constructs a
perception-pre-judgment-response-transmission complete
closed loop, solves the problems of early warning and disposal disjunction,
transmission failure and the like, and improves the active prevention and control capability and management and control accuracy of mine risks.