Data-driven comprehensive energy fire-fighting evaluation and early warning system

The invention discloses a data-driven comprehensive energy fire-fighting evaluation and early warning system, and belongs to the technical field of fire fighting. According to the invention, through the obtained mapping relation between the L1 value and the area yo1, the fire-fighting risk model can be rapidly solved based on the mapping relation; then, the risk prediction values corresponding to the virtual space distribution points Mk'are summed; and the obtained sum value is used to verify the fire-fighting risk model, and the obtained L1 value is used as an independent variable to solve the y value, so that the accuracy of fire-fighting risk prediction is greatly improved through the verification mode. Moreover, when the fire risk assessment result is predicted, only the L1 value needs to be obtained, and the calculation speed is greatly improved. And through calculation of the safety degree, a basis is provided for expansion or contraction of the risk level, so that the controllability of the risk level