The application relates to the technical field of
geological disaster monitoring and early warning, and discloses a
schist reservoir area slope damage intelligent early warning and prevention and
control system and method, which comprises a data fusion and
knowledge base construction module, an intelligent early warning analysis module, a cloud-edge collaborative deployment platform and a prevention and control decision support module. The data fusion and
knowledge base construction module accesses multi-source
engineering data and runs a Bayesian updating
algorithm, calculates and updates a slope damage mechanism
knowledge base. The intelligent early warning analysis module executes logical operation by using a
hybrid early warning model coupled by a chain physical criterion and an
artificial intelligence time series prediction network, and outputs an early warning
signal. The cloud-edge collaborative deployment platform executes on-
site model reasoning and cloud iteration training. The prevention and control decision support module matches a disposal plan after receiving the early warning
signal, and transmits feedback data of on-site disposal back to the corresponding module. The application realizes early identification driven by mechanism and data, and completes self-adaptive calibration and logic evolution of
system parameters through a disaster prevention experience closed-loop feedback mechanism.