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.

A vehicle includes a frame, a drivetrain coupled to the frame, a base assembly coupled to the frame, and a lifting implement coupled to and supported on the base assembly. The lifting implement includes a platform, a cradle rotatably coupled to and supported on the platform so that the cradle, a scissor assembly coupled between the platform and the base assembly, and a lift actuator coupled between the base assembly and the scissor assembly. The lift actuator is configured to selectively raise the cradle relative to the base assembly. The lift actuator is a multi-stage telescoping actuator that includes a base stage, an intermediate stage, and an outer stage. The base stage is coupled to the base assembly, the outer stage is coupled to the scissor assembly, and the intermediate stage is arranged between the base stage and the outer stage.