发明名称 Forecasting leaks in pipeline network
摘要 Technical solutions are described for forecasting leaks in a pipeline network. An example method includes identifying a subsystem in the pipeline network that includes a first station. The method also includes accessing historical temporal sensor measurements of the stations. The method also includes generating a prediction model for the first station that predicts a pressure measurement at the first station based on the historical temporal sensor measurements at each station in the subsystem. The method also includes predicting a series of pressure measurements at the first station based on the historical temporal sensor measurements. The method also includes determining a series of deviations between the series of pressure measurements and historical pressure measurements of the first station and identifying a threshold value from the series of deviations, where a pressure measurement at the first station above or below the threshold value is indicative of a leak in the subsystem.
申请公布号 US9558453(B1) 申请公布日期 2017.01.31
申请号 US201514976903 申请日期 2015.12.21
申请人 INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 Chaudhary Harsh;Kim Younghun;Kumar Tarun;Raman Abhishek;Zhang Rui
分类号 G06N7/00;G06Q10/04 主分类号 G06N7/00
代理机构 Cantor Colburn LLP 代理人 Cantor Colburn LLP ;Quinn David
主权项 1. A computer implemented method for detecting leaks in a pipeline network, the method comprising: identifying a subsystem in the pipeline network, the subsystem comprising a plurality of stations that are topologically connected, the plurality of stations comprising a first station; accessing historical temporal sensor measurements of the stations in the subsystem, the historical temporal sensor measurements comprising pressure measurements captured at corresponding timestamps over a predetermined time-span; selecting, from the historical temporal sensor measurements, a first subset of pressure measurements corresponding to timestamps with leak events; generating a prediction model for the first station that predicts a pressure measurement at the first station based on the historical temporal sensor measurements at each station in the subsystem; predicting, according to the prediction model, a series of pressure measurements at the first station based on the historical temporal sensor measurements at each station in the subsystem, wherein the series of pressure measurements is for a series of timestamps in the historical temporal sensor measurements; selecting, from the series of pressure measurements, a second subset of pressure measurements corresponding to the timestamps without leak events; determining a series of deviations between the first subset of pressure measurements and the second subset of pressure measurements of the first station; and identifying a threshold value for detecting a leak in the subsystem based on the series of deviations, wherein a pressure measurement at the first station being above or below a predicted pressure measurement by the threshold value is indicative of a leak in the subsystem.
地址 Armonk NY US