Intelligent early-warning negative sample sampling method for pipeline geological disasters under constraint of easily-occurring partitions

The invention discloses a pipeline geological disaster intelligent early-warning negative sample sampling method under the constraint of an easy-to-occur partition, and the method comprises the steps: selecting the early-warning required factors of a pipeline geological disaster region, and the factors comprise a disaster-pregnant environment and an induction factor; drawing a corresponding FR grid map by using a GIS technology by using historical geological disaster points along the pipeline and data of each disaster-pregnant environment map layer; drawing a cumulative rainfall map of one rainfall process until the occurrence date of each geological disaster point in combination with the geological disaster easy-to-occur partition of the pipeline; the method comprises the steps that an FR map layer and an easily-occurring partition map layer are overlapped, a negative sample collection unit area is defined, space attributes and time attributes of negative samples are collected in a negative sample collection