DESC:DESCRIPTION:
Field of Invention:
[0001] The present disclosure generally relates to the field of pipeline monitoring systems, and in specific relates to a geospatial model based multi-infrastructure risk and sustainability analysis system that indicates the probable risk zones and provides early warning to the infrastructure owner.
Background of the invention:
[0002] Infrastructure refers to the basic physical systems that undergird the structure of the economy. Generally, infrastructure includes transportation facilities, telecommunications networks, and water supplies. In general, infrastructure is also defined as "the physical components of interrelated systems providing commodities and services essential to enable, sustain, or enhance societal living conditions".

[0003] There are two general types of infrastructure, hard and soft. Hard infrastructure refers to the physical networks necessary for the functioning of a modern industry. This includes roads, bridges, railways, water and carbon pipelines and thereof. Soft infrastructure refers to all the institutions that maintain the economic, health, social, and cultural standards of a country. Most of the world’s hard infrastructure is buried, including underground storage tanks, pipelines, power cables, and communication lines. The locations of these structures are not usually marked on the surface and are subject to excavation damage if a construction crew is not aware of their exact locations or if an operator is careless.

[0004] In general, most of the commercial infrastructure involves pipelines that are used for various purposes such as transporting water, liquid or gaseous fuels, sewage, slurry, crude oils, and thereof. Pipelines are useful for transporting water for drinking or irrigation over long distances when it needs to move over hills, where canals or channels are poor choices due to evaporation, pollution, or environmental impact. The pipelines are usually located underground and are subject to various external factors besides internal pipeline damage. The environmental factors such as natural hazards, heavily vegetated areas, and environmentally sensitive and protected areas are to be considered when a pipeline is planned or maintained. In various scenarios, the negligent monitoring of such pipelines has resulted in devastating public accidents.

[0005] In existing technology, the pipelines are monitored using computational pipeline monitoring systems that gather information related to the flow, pressure, and other factors using hydrostatic testing or infrared or laser technology to detect leakages and the flow in the pipelines. Even, thermal imaging is also used sometimes. But there are various external factors that affect the pipelines including environmental factors such as pipelines in a highly vegetated area are often subjected to corrosion.

[0006] In updated technology, a passive alarm is developed to eliminate the problem of damage due to excavation above a pipeline. The passive alarm removes the need for active monitoring of the pipelines and when an excavation is present near the pipeline the sensor releases smoke and thereby indicates the excavation team that there is a pipeline nearby. The passive alarm also generates a loud noise simultaneously to indicate the presence of the pipeline. There is a need for a system that considers various environmental and external factors in monitoring the pipelines.

[0007] Hence, there exists a need for a geospatial model based multi-infrastructure analysis system that indicates the probable risk zones and provide early warning to the infrastructure owner. There is a need for a system that aids the owner to mitigate and manage various uncertainties including multiple natural hazards and environmental risk parameters. There is a need to analyze the suitability and sustainability of planned or existing pipeline infrastructure. There is a need for a system that integrates environmental, geo-hazard, geotectonic, and social risks and historic satellite data. Such a system should have the capability to provide better surveillance and high frequency of data collection and avoid pipeline leaks, bursts and blowouts by monitoring the infrastructure. There is a need for a system that prevents the risk of pollution in highly vegetated areas, environmentally sensitive areas and protected areas.

Objectives of the invention:
[0008] The primary objective of the invention is to provide a geospatial model based multi-infrastructure analysis system that indicates the probable risk zones and provides early warning to the infrastructure owner.

[0009] The other objective of the invention is to provide an advanced warning system that aids to mitigate and manage various uncertainties including multiple natural hazards and environmental risk parameters such as LULC, NDVI, and thereof.

[00010] The other objective of the invention is to analyse the suitability and sustainability of planned or existing pipeline infrastructure.

[00011] The other objective of the invention is to integrate environmental, geo-hazard, geotectonic, and social risks and historic satellite data to analyse the infrastructure suitability and sustainability.

[00012] Another objective of the invention is to provide better surveillance and high frequency of data collection.

[00013] Yet another objective of the invention is to avoid pipeline leaks, bursts and blowouts by monitoring the infrastructure.

[00014] Further objective of the invention is to avoid loss of resources by indicating high consequence areas and the high population density areas for pipeline ROW to the owner.

[00015] The other objective of the invention is to prevent the risk of pollution in highly vegetated areas, environmentally sensitive areas and protected areas.
Summary of the invention:
[00016] The disclosure proposes a geospatial model based multi-infrastructure analysis system. The following presents a simplified summary in order to provide a basic understanding of some aspects of the claimed subject matter. This summary is not an extensive overview. It is not intended to identify key/critical elements or to delineate the scope of the claimed subject matter. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

[00017] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide a geospatial model based multi-infrastructure risk and sustainability analysis system that indicates the probable risk zones and provides early warning to the infrastructure owner.

[00018] According to an aspect of the invention, the disclosure proposes a geospatial model based multi-infrastructure analysis system. The multi-infrastructure analysis system comprises an input module, a data collection module, an analysis module, a routing module and an alerting module. The multi-infrastructure analysis system assesses risk and sustainability of pipelines by considering various parameters and provides early warning to the infrastructure owner.

[00019] The input module is configured to enable a user to input a pipeline right of way (ROW). In specific, the input pipeline right of way (ROW) is either an existing pipeline or a new pipeline. The data collection module is configured to collect geospatial data related to the input pipeline right of way (ROW) from the input module. The data collection module collects the geospatial data from either derivatives of satellite imageries or drones or open sources of geospatial data or field data collected through a mobile application or historical information of the locations. In specific, the collected geospatial data includes land use land cover (LULC), population density, vegetation index, social risk zones, travel or power networks, heritage sites, major and minor industries, biodiversity zones, geohazards, mining and related activities, geology, geohydrology, and hydrology, and land displacement along the pipeline right of way (ROW).

[00020] The analysis module is configured to receive the collected geospatial data from the data collection module and predict risk factors of the input pipeline right of way (ROW) based on collected geospatial data. In specific, the predicted risk factors by analysis module include total cumulative risk, risk by category, temporal change analysis, location-based risk reports, continuous monitoring and change analysis, and options for alternative routes.

[00021] The routing module is configured to provide either a network routing for input pipeline right of way (ROW) or provide a suggestion to strengthen surveillance procedures along the input pipeline right of way (ROW). The routing module provides a network routing for the input pipeline right of way (ROW) if it belongs to a new pipeline and provides suggestion to strengthen surveillance procedures if the right of way (ROW) belongs to an existing pipeline. The alerting module is configured to provide early warnings to the user based on predicted risk factors.

[00022] According to another aspect, the invention provides a method of assessing the suitability and sustainability of multi-infrastructure. The method includes the steps comprising of enabling a user to input a pipeline right of way (ROW). Then, the geospatial data related to the input pipeline right of way (ROW) is collected. Next, the collected geospatial data is received and risk factors of input pipeline right of way (ROW) are predicted based on collected geospatial data.
[00023] Later, a network routing is provided for input pipeline right of way (ROW) if it is a new pipeline. Then, the user is suggested to strengthen surveillance procedures along input pipeline right of way (ROW) if it is an existing pipeline. Finally, the system provides early warnings to the user based on the predicted risk factors.

[00024] Further, objects and advantages of the present invention will be apparent from a study of the following portion of the specification, the claims, and the attached drawings.
Detailed description of Drawings:
[00025] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate an embodiment of the invention, and, together with the description, serve to explain the principles of the invention.

[00026] FIG. 1 illustrates an exemplary block diagram of a geospatial model based multi-infrastructure analysis system in accordance to an embodiment of the invention.

[00027] FIG. 2 illustrates an exemplary method of assessing the suitability and sustainability of Multi-Infrastructure in accordance to an embodiment of the invention.
Detailed invention disclosure:
[00028] Various embodiments of the present invention will be described in reference to the accompanying drawings. Wherever possible, same or similar reference numerals are used in the drawings and the description to refer to the same or like parts or steps.

[00029] The present disclosure has been made with a view towards solving the problem with the prior art described above, and it is an object of the present invention to provide a geospatial model based multi-infrastructure risk and sustainability analysis system that indicates the probable risk zones and provides early warning to the infrastructure owner.

[00030] According to an exemplary embodiment of the invention, FIG. 1 refers to a geospatial model based multi-infrastructure analysis system 100. The multi-infrastructure analysis system 100 comprises an input module 101, a data collection module 102, an analysis module 103, a routing module 104 and an alerting module 105. The multi-infrastructure analysis system 100 assesses risk and sustainability of pipelines by considering various parameters and provides early warning to the infrastructure owner. The proposed system 100 is developed using robust algorithms and spatial datasets which help in decision making to optimize the pipeline alignment or surveillance requirement of existing pipes. Further, the system 100 aids to assess near real-time situations thus prompting management to initiate early preventive measures along a pipeline right of way (ROW).

[00031] Since long distance hydrocarbon pipelines are generally buried underground, it is difficult to assess and foresee the interplay of different geotectonic, hydro-geological, environmental factors, and anthropogenic factors which may adversely impact the health of the pipeline. Further, landslides, soil subsidence, change in course of primary and secondary aquifers, minor seismic tremors (not resulting in earthquakes), river avulsion, meandering, mining/blasting activities in zone of influence, climate change-induced flooding, social conflicts can all contribute to damage to pipelines. The proposed system 100 aids to monitor pipelines by considering the above factors and several other inconsequential interruptions that interrupt the well-being of a pipeline. The system 100 collates, converts, and interprets the collected geospatial data for usable formats.

[00032] The input module 101 is configured to enable a user to input a pipeline right of way (ROW). In specific, the input pipeline right of way (ROW) is either an existing pipeline or a new pipeline. The data collection module 102 is configured to collect geospatial data related to the input pipeline right of way (ROW) from the input module 101. The data collection module 102 collects the geospatial data from either derivatives of satellite imageries or drones or open sources of geospatial data or field data collected through a mobile application or historical information of the locations. The proposed system 100 maps area of interest at the desired width (ROW) or as a 1 square kilometre grid (1 km x 1 km) for reconnaissance basis using high-resolution geospatial data, creating different visual layers and integrating a number of features that should go into pipeline route decision-making In specific, the collected geospatial data includes land use land cover (LULC), population density, vegetation index, social risk zones, travel or power networks, heritage sites, major and minor industries, biodiversity zones, geohazards, mining and related activities, geology, geohydrology, and hydrology, and land displacement along the pipeline right of way (ROW).

[00033] The social risk zones include conflict zones, terrorism zones and war zones thereof. The travel or power networks considered by the system 100 include rail or road networks, river or canal networks, solar or thermal or nuclear power plants thereof. Similarly, the biodiversity zones include protected areas, eco-sensitive zones. The geohazards considered by the system 100 include flood zones, waterlogging zones, soil liquefaction, seismic zones, tectonic fault zones, landslides or mass movement or soil erosion, land degradation zones, cyclone zones, river avulsions, and wild fire zones thereof. Further, the system 100 considers other factors including geological formations, soil type, aquifer information, groundwater levels and quality, surface water bodies, land displacement measures using synthetic aperture radar, and karst movements thereof.

[00034] The analysis module 103 is configured to receive the collected geospatial data from the data collection module 102 and predict risk factors of the input pipeline right of way (ROW) based on collected geospatial data. In specific, the predicted risk factors by the analysis module 103 include total cumulative risk, risk by category, temporal change analysis, location-based risk reports, continuous monitoring and change analysis, and options for alternative routes. The predicted risk factors may be selected by the user based on the requirement.

[00035] The routing module 104 is configured to provide either a network routing for input pipeline right of way (ROW) or provide a suggestion to strengthen surveillance procedures along the input pipeline right of way (ROW). The routing module 104 provides a network routing for the input pipeline right of way (ROW) if it belongs to a new pipeline and provides suggestion to strengthen surveillance procedures if the right of way (ROW) belongs to an existing pipeline. The alerting module 105 is configured to provide early warnings to the user based on predicted risk factors.

[00036] The analysis system 100 is configured to monitor the existing pipelines in near real-time. The analysis system 100 provides an alert or indication to the user in case of any subsurface leakage or a pipeline breakdown or in any other such situations to initiate early preventive measures. The regular monitoring of the existing pipelines, the geospatial data is uploaded on a fortnight basis or monthly basis or seasonal basis.

[00037] According to another exemplary embodiment of the invention, a method 200 of assessing the suitability and sustainability of Multi-Infrastructure. The method 200 of assessing the suitability and sustainability of Multi-Infrastructure includes the steps comprising of enabling a user to input a pipeline right of way (ROW) at step 201. Then at step 202, the geospatial data related to the input pipeline right of way (ROW) is collected. Next at step 203, the collected geospatial data is received and risk factors of input pipeline right of way (ROW) are predicted based on collected geospatial data.

[00038] Later at step 204, a network routing is provided for input pipeline right of way (ROW) if it is a new pipeline. Then at step 205, the user is suggested to strengthen surveillance procedures along input pipeline right of way (ROW) if it is an existing pipeline. Finally, at step 206, the system provides early warnings to the user based on the predicted risk factors.

[00039] Numerous advantages of the present disclosure may be apparent from the discussion above. In accordance with the present disclosure, a geospatial model based multi-infrastructure analysis system. The proposed analysis system indicates the probable risk zones and provides early warning to the infrastructure owner. The system aids to mitigate and manage various uncertainties including multiple natural hazards and environmental risk parameters such as LULC, NDVI, and thereof.

[00040] The multi-infrastructure analysis system analyses the suitability and sustainability of planned or existing pipeline infrastructure. The system further integrates environmental, geo-hazard, geotectonic, and social risks and historic satellite data to analyse the infrastructure suitability and sustainability. The system provides better surveillance and high frequency of data collection and thereby avoid pipeline leaks, bursts and blowouts by monitoring the infrastructure.
[00041] The analysis system aids to avoid loss of resources by indicating high consequence areas and the high population density areas for pipeline ROW to the owner. The multi-infrastructure analysis system prevents the risk of pollution in highly vegetated areas, environmentally sensitive areas and protected areas.

[00042] The proposed system is capable of assessing risk and sustainability analysis either for pipeline infrastructure (ROW) or any other critical infrastructure such as hydrocarbon pipelines, water pipelines, national highways, boarder roads, railways, industries, mining, ports thereof.

[00043] It will readily be apparent that numerous modifications and alterations can be made to the processes described in the foregoing examples without departing from the principles underlying the invention, and all such modifications and alterations are intended to be embraced by this application. ,CLAIMS:CLAIMS:
I / We Claim:
1. A geospatial model based multi-infrastructure risk and sustainability analysis system, comprising:
an input module configured to enable a user to input a pipeline right of way (ROW);
a data collection module configured to collect geo-spatial data related to said input pipeline right of way (ROW) from said input module;
an analysis module configured to receive the collected geospatial data from said data collection module and predict risk factors of said input pipeline right of way (ROW) based on said collected geospatial data;
a routing module configured to provide either a network routing for said input pipeline right of way (ROW) or provide a suggestion to strengthen surveillance procedures along said input pipeline right of way (ROW); and
an alerting module configured to provide early warnings to the user based on said predicted risk factors,
whereby said system assesses risk and sustainability of pipelines by considering various parameters and provides early warning to the infrastructure owner.
2. The geospatial model based multi-infrastructure risk and sustainability analysis system as recited in claim 1, wherein said input pipeline right of way (ROW) is either an existing pipeline or a new pipeline.
3. The geospatial model based multi-infrastructure risk and sustainability analysis system as recited in claim 1, wherein said data collection module collects said geospatial data from either derivatives of satellite imageries or drones or open sources of geospatial data or field data collected through mobile application or historical information of the locations.
4. The geospatial model based multi-infrastructure risk and sustainability analysis system as recited in claim 1, wherein said collected geospatial data includes land use land cover (LULC), population density, vegetation index, social risk zones, travel or power networks, heritage sites, major and minor industries, biodiversity zones, geo hazards, mining and related activities, geology, geohydrology, and hydrology, and land displacement along pipeline right of way (ROW).
5. The geospatial model based multi-infrastructure risk and sustainability analysis system as recited in claim 1, wherein said predicted risk factors by said analysis module include total cumulative risk, risk by category, temporal change analysis, location-based risk reports, continuous monitoring and change analysis, and options for alternative routes.
6. The geospatial model based multi-infrastructure risk and sustainability analysis system as recited in claim 1, wherein said routing module provides a network routing for said input pipeline right of way (ROW) if it belongs to a new pipeline and provides suggestion to strengthen surveillance procedures if the right of way (ROW) belongs to an existing pipeline.
7. A method of assessing the suitability and sustainability of multi-infrastructure, comprising:
enabling a user to input a pipeline right of way (ROW);
collecting geo-spatial data related to said input pipeline right of way (ROW);
receiving the collected geospatial data and predicting risk factors of said input pipeline right of way (ROW) based on said collected geospatial data;
providing a network routing for said input pipeline right of way (ROW) if it is a new pipeline;
suggesting the user to strengthen surveillance procedures along said input pipeline right of way (ROW) if it is an existing pipeline, and
providing early warnings to the user based on said predicted risk factors.