The invention provides a multi-data fusion fire-fighting early warning method and platform, and relates to the technical field of fire fighting, and the method comprises the steps: collecting a multi-dimensional environment
data set of a target region; performing
noise filtering on the multi-dimensional environment
data set to obtain a multi-dimensional environment de-noised
data set; comprehensively analyzing the plurality of data sources based on the multi-dimensional environment de-noised data set to generate fire-fighting comprehensive data, and fusing the multi-dimensional environment de-noised data set to obtain a multi-dimensional environment fused data set; building a
fire risk model according to the fire-fighting comprehensive data,
synchronizing the multi-dimensional environment fusion data set to the
fire risk model for evaluation according to a plurality of data sources, and obtaining a
fire risk level of the target area; and generating a fire-fighting early warning instruction based on the fire
risk level, and sending the instruction to the
remote control terminal. According to the method, the technical problem that a traditional fire early warning method is single in monitoring means and is easily interfered by environmental factors to cause
false alarm or missing alarm is solved, and the accuracy and response speed of fire early warning are remarkably improved.