Methods and systems for measuring energy of natural gas based on Internet of Things

1. A method for measuring energy of natural gas based on Internet of Things (IOT), wherein the method is performed by a management platform, comprising:

in response to a query request received by a user platform, obtaining a natural gas detection parameter detected by a sense control platform via a sense network platform, wherein the sense control platform includes at least one first detection device at a pipe network end and at least one second detection device at a user end, the natural gas detection parameter includes at least one first detection parameter detected by the at least one first detection device and at least one second detection parameter detected by the at least one second detection device;

determining natural gas metering data by processing the natural gas detection parameter, wherein the natural gas metering data includes at least one of energy data or volume data, including:

determining first energy data by processing the first detection parameter based on a predetermined algorithm; and

determining second energy data by processing the at least one second detection parameter based on a prediction model; and

transmitting the at least one of the energy data or the volume data to the user platform via a service platform according to a type of the query request.

2. The method of claim 1 , further including:

determining an abnormal device between the at least one first detection device and the at least one second detection device based on the first energy data and the second energy data, including:

determining whether the abnormal device exists by comparing the first energy data and the second energy data;

in response to determining that the abnormal device exists, for each detection device of the at least one first detection device and the at least one second detection device,

determining a probability that the detection device is abnormal based on related information of the detection device, the first energy data, and the second energy data; and

determining the abnormal device based on the determined probabilities.

3. A system for measuring energy of natural gas based on Internet of Things (IOT), comprising:

at least one storage device including a set of instructions; and

at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including:

in response to a query request received by a user platform, obtaining a natural gas detection parameter detected by a sense control platform via a sense network platform, wherein the sense control platform includes at least one first detection device at a pipe network end and at least one second detection device at a user end, and the natural gas detection parameter includes at least one first detection parameter detected by the at least one first detection device and at least one second detection parameter detected by the at least one second detection device;

determining natural gas metering data by processing the natural gas detection parameter, wherein the natural gas metering data includes at least one of energy data or volume data, and the at least one processor is further configured to direct the system to perform operations including:

determining first energy data by processing the first detection parameter based on a predetermined algorithm; and

determining second energy data by processing the at least one second detection parameter based on a prediction model; and

transmitting the at least one of the energy data or the volume data to the user platform via a service platform according to a type of the query request.

4. The system of claim 3 , the at least one processor is configured to direct the system to perform operations including:

determining an abnormal device between the at least one first detection device and the at least one second detection device based on the first energy data and the second energy data, including:

determining whether the abnormal device exists by comparing the first energy data and the second energy data;

in response to determining that the abnormal device exists, for each detection device of the at least one first detection device and the at least one second detection device, determining a probability that the detection device is abnormal based on related information of the detection device, the first energy data, and the second energy data;

determining the abnormal device based on the determined probabilities.

5. A non-transitory computer-readable medium, comprising at least one set of instructions, wherein when executed by at least one processor of a computer device, the at least one set of instructions directs the at least one processor to perform operations including:

in response to a query request received by a user platform, obtaining a natural gas detection parameter detected by a sense control platform via a sense network platform, wherein the sense control platform includes at least one first detection device at a pipe network end and at least one second detection device at a user end, and the natural gas detection parameter includes at least one first detection parameter detected by the at least one first detection device and at least one second detection parameter detected by the at least one second detection device;

determining natural gas metering data by processing the natural gas detection parameter, wherein the natural gas metering data includes at least one of energy data or volume data, including:

determining first energy data by processing the first detection parameter based on a predetermined algorithm; and

determining second energy data by processing the at least one second detection parameter based on a prediction model; and

transmitting the at least one of the energy data or the volume data to the user platform via a service platform according to a type of the query request.

6. The non-transitory computer-readable medium of claim 5 , the at least one set of instructions directs the at least one processor to perform operations including:

determining an abnormal device between the at least one first detection device and the at least one second detection device based on the first energy data and the second energy data, including:

determining whether the abnormal device exists by comparing the first energy data and the second energy data;

in response to determining that the abnormal device exists, for each detection device of the at least one first detection device and the at least one second detection device, determining a probability that the detection device is abnormal based on related information of the detection device, the first energy data, and the second energy data;

determining the abnormal device based on the determined probabilities.