The invention relates to the field of
petroleum and
petrochemical fire fighting, in particular to an SIS-based interlocked control device for
petroleum and
petrochemical fire fighting, which comprises a sensing fusion unit for acquiring
optical fiber,
radar,
acoustics, an event camera and dual-band images, and generating a feature
tensor and an attitude matrix through multi-scale synchronization and gating sparse fusion. And the prediction and
risk assessment unit outputs disaster prediction data, a propagation
potential energy matrix and a risk entropy by using the graph neural network spatial-temporal model and the generative adversarial correction. The
interlocking control unit constructs a binary optimization model by taking the minimum action number and the residual
potential energy as targets, obtains a minimum action set by means of
quantum annealing and a minimum-maximum game, and writes the minimum action set into the memristive
programmable logic array to generate an
interlocking instruction stream. And the execution and feedback unit controls the two-phase flow jetting device, the
robot unit and the heat shielding device to complete treatment, and feedback event flow is used for model
incremental learning and action deviation correction. According to the invention,
millisecond interlocking triggering is realized, the action redundancy is reduced, and the fire spreading
radius is obviously reduced.