Large model-based systems and methods of internet of things (iot) for emergency regulation of water supply pipeline networks in smart cities

A method for emergency regulation of a water supply pipeline network in a smart city, executed by a government regulation management platform of a large model based system of internet of things (IoT) for emergency regulation of the water supply pipeline network in the smart city, the system comprising a government regulation management platform, a government regulation sensing network platform, a government regulation object platform, a water company sensing network platform, a smart water device object platform, wherein

• the government regulation object platform includes a water company management platform;
• the smart water device object platform includes a monitoring device and at least one adjustment device;
• the method comprising:
• determining a time-series flow rate corresponding to each of a plurality of water pipeline node groups based on water flow features of a plurality of water pipeline nodes in the water supply pipeline network;
• determining one or more water and soil loss coefficients corresponding to each of one or more target regions based on the time-series flow rates;
• generating, based on the one or more water and soil loss coefficients, a temporary control parameter through a parameter generation model, the parameter generation model being a machine learning model;
• and
• controlling an opening level of each of one or more valves corresponding to the one or more target regions based on the temporary control parameter.