Methods and internet of things large model systems for emergency supervision of smart city catering stores

An Internet of Things (IoT) large model system for emergency supervision of smart city catering stores, comprising an emergency supervision user platform, an emergency supervision service platform, an emergency supervision management platform, an emergency supervision sensor network platform, and an emergency supervision object platform, wherein the emergency supervision management platform is configured to:

• obtain store gas data from a store monitoring device installed in a store based on the emergency supervision object platform;
• obtain pipeline distribution data from an integrated governmental supervision database;
• obtain pipeline monitoring data from a pipeline monitoring device of a gas pipeline based on the emergency supervision object platform;
• construct an aging feature map based on the pipeline distribution data, the pipeline monitoring data, the store gas data, and pipeline feature data;
• determine aging data based on the aging feature map;
• wherein the aging data includes a device aging degree of a gas usage device and a pipeline aging degree of a store pipeline system;
• determine the pipeline aging degree based on the pipeline monitoring data, the store gas data, and operational efficiency data;
• and
• determine a device regulation parameter and a self-testing parameter based on the pipeline aging degree and the device aging degree, and send the device regulation parameter to a gas control device and send the self-testing parameter to a self-testing device, wherein the device regulation parameter includes an opening regulation value and a power regulation value;
• control an opening amplitude of a pipeline valve based on the opening regulation value and control an operating power of the gas usage device based on the power regulation value;
• and control starting and stopping of the self-testing device based on the self-testing parameter.