The invention provides a multi-mode fusion gas
station leakage-fire early warning method and
system, and belongs to the field of gas
system leakage and fire monitoring. The method comprises the following steps: firstly, acquiring
infrared image data, pressure and
gas concentration time sequence data of a gas
station pipeline; secondly, the collected data are preprocessed; thirdly, an abnormal heat
source image data set is manufactured, and a yov5 abnormal heat source monitoring model is constructed and trained and used for recognizing an abnormal heat source and calculating the fire symptom abnormal probability; and then, merging the fire symptom anomaly probability with a sensor
data set, making a leakage-fire
data set, and establishing a multi-mode gas
station leakage-fire anomaly identification model for training and tuning. And finally, the trained multi-mode model is used for carrying out leakage-fire abnormity monitoring on the gas station, and corresponding early warning information is sent out according to an output result. According to the invention, gas leakage-fire joint abnormity discrimination can be realized, and the safety and early warning accuracy of the gas station are improved.