The present disclosure discloses a method for monitoring distributed energy storage safety and an Internet of Things system. The method includes utilizing a data acquiring unit to monitor operating data on a liquefied natural gas (LNG) storage device and transmitting the operating data to an LNG distributed energy management platform; the management platform determining abnormal data in the perception information according to an anomaly judgment condition and performing a pseudo data verification and labeling on the abnormal perception information; performing an anomaly prediction analysis according to an early warning mechanism; sending an alarm prompt to field maintenance personnel according to the abnormal data; and the field maintenance personnel performing a two-way confirmation with the management platform after processing. The present disclosure can determine abnormal data and verify and screen out pseudo data, send an alarm prompt to maintenance personnel, maintain an abnormal storage device, henceforth improving the efficiency of safety supervision of energy storage.