Methods and systems for intelligent metering of natrural gas

A system for intelligent metering of natural gas, comprising:

• at least one storage device including a set of instructions;
• and
• at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to cause the system to perform an operation comprising:
• obtaining a metering value of the natural gas used by a user in a time period from a metering device via a network, the metering device being located at a gas supply terminal of a transmission pipe network;
• determining a consumption amount of natural gas based on the metering value and a pricing scheme, wherein the pricing scheme includes a volume-based pricing scheme and an energy-based pricing scheme, a unit of the metering value is a volume unit and the volume-based pricing scheme includes a volume unit price of the natural gas in one volume unit,
• in the pricing scheme, volume units of the natural gas in different component types are the same, and volume unit prices of the natural gas in different component types are different,
• the volume unit prices of the natural gas in different component types are determined based on an adjustment model, the adjustment model being a deep neural network (DNN) model;
• the adjustment model is configured to determine adjusted energy per unit volume of the natural gas by processing energy per unit volume before adjustment and detection data of the natural gas, wherein the energy per unit volume before adjustment refers to an energy value released by combustion of per unit volume of natural gas output by a gas supplier, the detection data includes a temperature, a pressure, a component, a content, a flow, a compression factor, a density, and a calorific value of the natural gas output by the natural gas supplier;
• and
• the volume unit prices of the natural gas are determined based on the adjusted energy per unit volume, wherein the adjusted energy per unit volume refers to an energy value generated by the combustion of natural gas per unit volume during an actual use of the user.

A non-transitory computer readable medium storing instructions, when executed by at least one processor, causing the at least one processor to implement a method comprising:

• obtaining a metering value of the natural gas used by a user in a time period from a metering device via a network, the metering device being located at a gas supply terminal of a transmission pipe network;
• and
• determining a consumption amount of natural gas based on the metering value and a pricing scheme, wherein the pricing scheme includes a volume-based pricing scheme and an energy-based pricing scheme, a unit of the metering value is a volume unit and the volume-based pricing scheme includes a volume unit price of the natural gas in one volume unit,
• in the pricing scheme, volume units of the natural gas in different component types are the same, and volume unit prices of the natural gas in different component types are different,
• the volume unit prices of the natural gas in different component types are determined based on an adjustment model, the adjustment model being a deep neural network (DNN) model;
• the adjustment model is configured to determine adjusted energy per unit volume of the natural gas by processing energy per unit volume before adjustment and detection data of the natural gas, wherein the energy per unit volume before adjustment refers to an energy value released by combustion of per unit volume of natural gas output by a gas supplier, the detection data includes a temperature, a pressure, a component, a content, a flow, a compression factor, a density, and a calorific value of the natural gas output by the natural gas supplier;
• and
• the volume unit prices of the natural gas are determined based on the adjusted energy per unit volume, wherein the adjusted energy per unit volume refers to an energy value generated by the combustion of natural gas per unit volume during an actual use of the user.