Intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data
US9797799B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2015 |
| Grant date | Oct 24, 2017 |
| Priority date | — |
| Expiry date | Mar 11, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01M3/243
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.