The present disclosure discloses a method for liquefied natural gas (LNG) station management and an Internet of Things system. The method includes: acquiring historical gas filling data of a gas station based on a preset acquiring time; determining LNG demand data at at least one future moment and a predicted confidence level of the LNG demand data based on the historical gas filling data through a prediction model; determining a reliable moment based on the predicted confidence level; determining at least one set of candidate delivery plans based on the LNG demand data and LNG storage data; and determining a target delivery plan based on at least one piece of gas filling cost data of the at least one set of candidate delivery plans and the reliable moment.