A method and an Internet of Things (IoT) system for safely replacing a gas pipeline network component are provided. The method includes: acquiring a component feature of a gas numerical control component based on a data center; determining a replacement necessity degree of the gas numerical control component based on the component feature; determining a replacement parameter based on the replacement necessity degree; generating a replacement task instruction and a gas shutoff parameter based on the replacement parameter; in response to receiving a shutoff parameter confirmation instruction, generating a gas shutoff instruction and transmitting the gas shutoff instruction to a gas supply control device; generating gas shutoff reminder information; and in response to receiving a replacement completion message, determining a replaced component and updating a data partition corresponding to the replaced component.

Methods for monitoring reliability of a smart gas pipeline network are provided. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for monitoring reliability of a smart gas pipeline network. The method may include: obtaining a reliability sequence of the gas pipeline network, the reliability sequence including reliability of the gas pipeline network at a plurality of moments; and determining a monitoring plan based on the reliability sequence, wherein determining the reliability of the gas pipeline network at each of the plurality of moments includes: obtaining a gas transportation feature of the gas pipeline network at a target moment; determining, based on the gas transportation feature, a degree of wear of a pipeline wall; and determining, based on the degree of wear of the pipeline wall, the reliability of the gas pipeline network at the target moment.

A semiconductor device manufacturing system and a method for manufacturing semiconductor device are provided. The semiconductor device manufacturing system includes a substrate processing device and a processor. The substrate processing device includes a processing chamber, a gas supply module and a gas source. The processor is configured to monitor and control the gas supplied into the substrate processing device.

This specification relates to reducing CO2 levels of a gas operation network using a predictive model. The systems and methods described in this specification process an input data set that includes (i) gas flowrate data and (ii) CO2 concentration data. The systems and methods generate the predictive model by processing the input dataset. The systems and methods predict, by the predictive model, a CO2 production target for the gas operation network based on a gas flowrate predicted for each of the plurality of wells by the predictive model. The systems and methods generate control signals to control a respective valve at each well based on the CO2 production target and the predicted gas flowrate for each well. The systems and methods regulate CO2 levels of the gas operation network based on the CO2 production target by controlling the respective valves at each well.