Systems and methods to provide pipeline damage alerts
View Patent ↗According to some embodiments, a signal processing unit may receive distributed acoustic sensing data associated with a first set of a plurality of pipeline locations. The signal processing unit may also receive collected physical data representing a physical characteristic of a second set of a plurality of pipeline locations. The signal processing unit may then utilize a pipeline model having the distributed acoustic sensing data and collected physical data as inputs to automatically generate at least one alert indicating an increased probability of damage to the pipeline.
1. A system associated with a pipeline, comprising:
a pipeline geospatial database storing information about a plurality of pipeline locations associated with the pipeline, each pipeline portion being adapted to provide transport of a sub stance;
a signal processing unit coupled to the pipeline geospatial database, to:
receive distributed acoustic sensing data associated with a first set of a plurality of pipeline locations,
receive collected physical data representing a physical characteristic of a second set of a plurality of pipeline locations, and
utilize a pipeline model having the distributed acoustic sensing data and collected physical data as inputs, wherein the acoustic sensing data and the collected physical data is fused, and automatically generate at least one alert; and
a communication port coupled to the signal processing unit to transmit information creating for a user a visual representation of the alert indicating an increased probability of damage to the pipeline, wherein the alert comprises predictive risk information associated with at least one of the pipeline locations, wherein the predictive risk information is based at least in part on a volume of the substance transported via the pipeline portion and on a prior failure after transporting a certain amount of the substance.
2. The system of claim 1 , wherein the physical data is associated with at least one of: (i) a pressure, (ii) a temperature, and (iii) a flow of the substance.
3. The system of claim 2 , wherein the substance comprises at least one of: (i) a liquid, and (ii) a gas.
4. The system of claim 1 , wherein the physical data comprises image information.
5. The system of claim 4 , wherein the image information is associated with at least one of: (i) pictures, and (ii) video data.
6. The system of claim 4 , wherein the image information is collected via at least one of: (i) a drone, (ii) a satellite, and (iii) a manned flying vehicle.
7. The system of claim 4 , wherein the pipeline is adapted to provide transport of at least one of: (i) a liquid, (ii) a gas, and (iii) a solid.
8. The system of claim 1 , wherein the signal processing unit is associated with an intelligent pipeline monitoring platform that includes:
an analytic module, having access to historical pipeline information, to generate predictive risk information associated with at least one of the pipeline locations.
9. The system of claim 1 , wherein a graphical user interface map display includes the alert and further includes at least one of: (i) topographical information, (ii) a geographic feature, (iii) street information, (iv) population information, (v) weather information, (vi) seismic information, (vii) building information, and (viii) predicted impact radius information.
10. A method for protecting a pipeline adapted to provide transport of a substance, comprising:
receiving, at a signal processing unit, distributed acoustic sensing data associated with a first set of a plurality of pipeline locations;
receiving, at the signal processing unit, collected physical data representing a physical characteristic of a second set of a plurality of pipeline locations;
utilizing, by the signal processing unit, a pipeline model having the distributed acoustic sensing data and collected physical data as inputs, wherein the acoustic sensing data and the collected physical data is fused, to automatically generate at least one alert indicating an increased probability of damage to the pipeline, wherein the alert comprises predictive risk information associated with at least one of the pipeline locations, wherein the predictive risk information is based at least in part on a volume of the substance transported via the pipeline and on a prior failure after transporting a certain amount of the substance.
11. The method of claim 10 , wherein the distributed acoustic sensing data is based on signals received via optical fibers or geophones and processed by an edge processing device.
12. The method of claim 10 , wherein the alert includes at least one of: (i) a likelihood of damage, and (ii) a predicted pipeline location associated with damage or a leak.
13. The method of claim 10 , wherein the pipeline is adapted to provide transport of a substance and the physical data is associated with at least one of: (i) a pressure, (ii) a temperature, and (iii) a flow of the substance.
14. The method of claim 13 , wherein the substance comprises at least one of: (i) a liquid, (ii) a gas, and (iii) a solid.
15. The method of claim 13 , wherein the physical data is processed by a supervisory control and data acquisition device prior to being received by the signal processing unit.
16. The method of claim 13 , wherein the physical data is analyzed based at least in part on geospatial information describing the pipeline and a substance simulation algorithm associated with an internal leak detection system.
17. The method of claim 10 , wherein the physical data comprises image information.
18. The method of claim 17 , wherein the image information is associated with at least one of: (i) pictures, and (ii) video data.
19. The method of claim 17 , wherein the image information is collected via at least one of: (i) a drone, (ii) a satellite, and (iii) a manned flying vehicle.
20. The method of claim 17 , wherein the pipeline is adapted to provide transport of at least one of: (i) a liquid, (ii) a gas, and (iii) a solid.
21. The method of claim 17 , wherein the image information is used detect the presence of at least one of: (i) a vehicle, (ii) a person, and (iii) construction equipment.
22. The method of claim 10 , wherein the pipeline model is associated with at least one of: (i) a predictive model, (ii) a Bayesian model, (iii) a neural network, (iv) a Hidden Markov model, (v) an expert system, (vi) a decision tree, (vii) a collection of decision trees, (viii) a support vector machine, and (ix) weighted factors.
23. A non-transitory, computer-readable medium storing instructions that, when executed by a computer processor, cause the computer processor to perform a method associated with a method to protect a pipeline adapted to provide transport of a substance, the method comprising:
receiving, at a signal processing unit, distributed acoustic sensing data associated with a first set of a plurality of pipeline locations;
receiving, at the signal processing unit, collected physical data representing a physical characteristic of a second set of a plurality of pipeline locations;
utilizing, by the signal processing unit, a pipeline model having the distributed acoustic sensing data and collected physical data as inputs, wherein the acoustic sensing data and the collected physical data is fused, to automatically generate at least one alert indicating an increased probability of damage to the pipeline, wherein the alert comprises predictive risk information associated with at least one of the pipeline locations, wherein the predictive risk information is based at least in part on a volume of the substance transported via the pipeline and on a prior failure after transporting a certain amount of the substance.