The preventive maintenance management system for gas pressure regulators utilizes methods such as the Internet of Things, big data, and artificial intelligence, and can be combined with SCADA and other systems to fully tap into the value of existing data, making hidden data and patterns explicit. The evaluation of the operating status and parameters of the regulator has been achieved, and various fault risks have been identified. The maintenance of the regulator has been optimized through a screening mechanism to reduce risks and optimize operation and maintenance investment.