Smart avalanche monitoring and early warning system and method based on multi-source data fusion

Abstract

This invention provides a smart avalanche monitoring and early warning system and method based on multi-source data fusion. [Solution] The system comprises an avalanche slope identification module, a shear stress layering module, a disturbance trajectory analysis module, a path risk limit module, and a snow damage response identification module. Slope section localization is performed by extracting fine-grained topographic features, a stress imbalance identification mechanism is constructed by combining sudden changes in unfrozen water content, gradient temperature differences, and snow pressure changes, a disturbance position sequence is extracted to form a stress propagation chain, risk expansion sections spanning slope sections are identified, structural coupling regions are localized by fusing wind field direction, sudden temperature difference changes, and water content difference information, an early warning trigger response is generated in response to physical changes in the disturbance trajectory, and the overall snow layer structure identification accuracy, continuous disturbance propagation tracking, and immediacy of the early warning coordinated response are improved, constructing a high-dimensional dynamic monitoring closed loop that integrates discrimination, tracking, and early warning.

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