Patent ID: 11898704
Assignee: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC F  G  Y | IPC F  G

Claim 0:
1. A method for smart gas pipeline life prediction, wherein the method is implemented by a smart gas pipeline network device management sub-platform, the method comprising:
obtaining operation information of a target gas pipeline section within a first time period through a smart gas data center;
determining, based on the operation information, a first performance parameter of the target gas pipeline section of at least one moment within the first time period, wherein the first performance parameter at least includes transportation performance of the target gas pipeline section within the first time period;
determining, based on the first performance parameter of at least one moment, a first performance parameter sequence of the target gas pipeline section within the first time period, wherein the first performance parameter sequence is a sequence obtained by arranging the first performance parameter of at least one moment in a chronological order; and
determining, based on the first performance parameter sequence, a remaining life of the target gas pipeline section, including
predicting, based on the first performance parameter sequence, a second performance parameter sequence of the target gas pipeline section within a second time period, wherein the second performance parameter sequence includes performance parameter of at least one future moment; and
determining, based on the first performance parameter sequence or the second performance parameter sequence, the remaining life of the target gas pipeline section;
wherein the predicting, based on the first performance parameter sequence, a second performance parameter sequence of the target gas pipeline section within a second time period includes:
determining, based on the first performance parameter sequence, the second performance parameter sequence of the target gas pipeline section within the second time period through a performance parameter prediction model, wherein the performance parameter prediction model is a time series prediction model, an input of the performance parameter prediction model includes the first performance parameter sequence and an environmental feature sequence, the environmental feature sequence includes a plurality of environmental features arranged in chronological order, the performance parameter prediction model includes a first prediction layer and a second prediction layer, an input of the first prediction layer includes the first performance parameter sequence, an output of the first prediction layer includes second performance parameter sequence before correction, an input of the second prediction layer includes the second performance parameter sequence before correction, a confidence level, the first performance parameter sequence, and the environmental feature sequence, an output of the second prediction layer includes the second performance parameter sequence, wherein the confidence level is related to a number of performance parameters in the second performance parameter sequence before correction and a complexity of a gas pipeline map.