Methods and Internet of Things (IoT) systems for prediction and maintenance of a smart gas pipeline are provided. A the smart gas pipeline network safety management platform is configured to: determine a first cycle based on data of a pipeline to be maintained, a feature of a maintainer, or a feature of a maintenance robot; obtain first feedback data based on the first cycle; determine a fault level based on the data of the pipeline to be maintained; determine a pre-maintenance risk based on the fault level and the first feedback data; determine, based on the first feedback data, the data of the pipeline to be maintained, and the pre-maintenance risk, a maintenance parameter and send the maintenance parameter to the maintainer terminal; generate, based on the maintenance parameter, a control instruction and send the control instruction to the maintenance robot; adjust the pre-maintenance risk based on a post-maintenance risk.