Smart gas adaptive pressure regulation method based on calorific value of gas and internet of things system

1 . An Internet of Things system for smart gas adaptive pressure regulation, comprising: a smart gas user platform, a smart gas service platform, a smart gas equipment management platform, a smart gas sensor network platform, and a smart gas object platform; wherein

the smart gas object platform is configured to obtain calorific value data of gas and a first pressure regulation parameter of a pressure regulation station, and transmit the calorific value data of gas and the first pressure regulation parameter of the pressure regulation station to the smart gas equipment management platform through the smart gas sensor network platform; the first pressure regulation parameter is configured to reflect current pressure regulation data of the pressure regulation station;

the smart gas equipment management platform is configured to:

in response to the calorific value data of gas not satisfying a first preset condition, adjust the first pressure regulation parameter;

determine a second pressure regulation parameter of the pressure regulation station based on the adjusted first pressure regulation parameter, the second pressure regulation parameter being updated pressure regulation data; and

send the updated pressure regulation data to the smart gas service platform;

the smart gas service platform is configured to send the updated pressure regulation data to the smart gas user platform.

2 . The system of claim 1 , wherein the smart gas user platform comprises a gas user sub-platform, a government user sub-platform, and a supervision user sub-platform;

the smart gas service platform comprises a smart gas use service sub-platform corresponding to the gas user sub-platform, a smart operation service sub-platform corresponding to the government user sub-platform, and a smart supervision service sub-platform corresponding to the supervision user sub-platform;

the smart gas equipment management platform comprises a smart gas indoor equipment parameter management sub-platform, a smart gas pipeline network equipment parameter management sub-platform, and a smart gas data center; the smart gas pipeline network equipment parameter management sub-platform comprises an equipment operation parameter monitoring and early warning module and an equipment parameter remote management module;

the smart gas sensor network platform comprises a smart gas indoor equipment sensor network sub-platform and a smart gas pipeline network equipment sensor network sub-platform;

the smart gas object platform comprises a smart gas indoor equipment object sub-platform and a smart gas pipeline network equipment object sub-platform.

3 . The system of claim 1 , wherein the smart gas equipment management platform is further configured to:

determine a predicted terminal pressure of a gas user terminal at least based on the first pressure regulation parameter of the pressure regulation station;

determine an adjustment value of the first pressure regulation parameter based on a difference between the predicted terminal pressure and a preset standard pressure; and

adjust the first pressure regulation parameter based on the adjustment value.

4 . The system of claim 3 , wherein the smart gas equipment management platform is further configured to:

determine the predicted terminal pressure based on the processing of the first pressure regulation parameter and pipeline information of a gas pipeline connected to the pressure regulation station by a pressure prediction model, the pressure prediction model being a machine learning model.

5 . The system of claim 4 , wherein the smart gas equipment management platform is further configured to:

build a site diagram structure based on the pressure regulation station, the first pressure regulation parameter, and the pipeline information;

at least part of the nodes of the site diagram structure corresponding to the pressure regulation station, the edges of the site diagram structure corresponding to the gas pipeline, the directions of the edges corresponding to a gas flow direction, attributes of each node comprising an incoming gas pressure and an outgoing gas pressure of the pressure regulation station, and attributes of each edge comprising a gas pressure loss in a gas pipeline corresponding to the edge; and

output the predicted terminal pressure based on the at least part of the nodes of the site diagram structure by processing the site diagram structure using the pressure prediction model.

6 . The system of claim 5 , wherein the nodes of the site diagram structure comprise an end node, the pressure regulation station corresponding to the end node is directly connected to the gas user terminal; attributes of the end node further comprise parameter information of the corresponding gas user terminal;

the predicted terminal pressure is obtained based on an output of the end node.

7 . The system of claim 5 , wherein the smart gas equipment management platform is further configured to:

determine a gas efficiency evaluation score based on the calorific value data of gas and the predicted terminal pressure; and

perform at least one round of iterative updating of the first pressure regulation parameter through a preset algorithm based on the gas efficiency evaluation score and the site diagram structure to determine the adjustment value of the first pressure regulation parameter.

8 . The system of claim 1 , wherein the smart gas equipment management platform is further configured to:

determine whether the second pressure regulation parameter satisfies a second preset condition;

in response to the second pressure regulation parameter not satisfying the second preset condition, determine a final pressure regulation parameter based on the second pressure regulation parameter; and

send the final pressure regulation parameters to a user and receive feedback from the user.

9 . The system of claim 8 , wherein the second preset condition comprises that:

the second pressure regulation parameter is within a preset parameter range; and the preset parameter range being related to the gas user terminal.