Class Location Intelligence

See where Class Location escalation may be developing

KartaSoft helps transmission pipeline operators maintain a consistent view of current Class Location, understand where consequential change may be developing, and evaluate that forward-looking view against known historical outcomes.

An application of KartaSoft’s Physics-Informed Operational Intelligence

Class Location changes as the world around the pipeline changes

 

Development does not occur on the same schedule as periodic Class Location assessments.

A Class Location assessment can be current when completed while development continues around the corridor.

New structures, land-use changes and construction activity accumulate between assessment cycles, while the information required to reassess them may sit across separate records, GIS layers and previous analyses.

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Development signals indicate possibility, not certainty.

A permit may not become construction.

A new structure may not be sufficient to change classification.

Across a large network, the important distinction is which development signals could actually affect classification and therefore warrant earlier review. 

This creates two connected operational challenges:

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Keeping the current picture accurate

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Information may sit across multiple datasets, systems and assessment cycles. As conditions change, teams must repeatedly bring that information together, recalculate classifications, and maintain a consistent history of what changed and when. 

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Understanding what may change next

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Current-state determination answers an essential question: 

What is the Class Location of this segment today?


It does not fully answer the planning question:

Which segments show the strongest evidence of potential escalation, and how much time may be available to evaluate the implications? 

Keep Class Location current,
understand where changes may be developing

KartaSoft's solution for the challenge:

Current-State Management and Planning Intelligence

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Management Efficiency

Class Location Intelligence brings relevant information into a consistent network-level record, supports repeatable current-state calculation, and maintains a clearer view of changing conditions over time.


This is designed to reduce dependence on repeatedly rebuilding analysis from fragmented information and to create a more consistent basis for review.

Current-State Management supports: 

→ More consistent Class Location calculation
→ More repeatable reassessment as underlying information changes
→ A maintainable history of structures, development and classification conditions
→ Reduced recurring effort associated with fragmented analysis
→ A clearer basis for internal and regulatory review 

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Planning Intelligence 

On the same information foundation, Class Location Intelligence creates a probability-scored view of where escalation may be developing across the network. 


Each segment receives a comparative escalation probability, giving teams a common basis for ranking where closer review is most warranted and evaluating whether useful advance visibility exists.

Planning Intelligence supports:
 
→ Segment-level escalation probability 
→ Network-wide comparison 
→ Configurable planning horizons 
→ Prioritization of segments warranting closer review 
→ Historical evaluation of forecast performance 

More efficient management.

More time to plan.

Management Efficiency

Reduce recurring Class Location workload

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 A consistent, maintainable network record reduces dependence on repeatedly rebuilding analysis from fragmented information.  

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Improve consistency across assessment cycles

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The challenge has moved beyond understanding the state of aging assets into proving which investments should move first because they reduce the greatest operational, service, and regulatory risk.

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Make changing conditions easier to understand

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The challenge has moved beyond understanding the state of aging assets into proving which investments should move first because they reduce the greatest operational, service, and regulatory risk.

Planning Intelligence

Compare potential escalation across the network

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Probability scoring creates a common basis for comparing development signals across the network and identifying the segments that warrant closer review.

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Focus limited review capacity

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Prioritization helps teams direct attention toward segments where potential escalation warrants closer examination. 

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Establish whether earlier visibility is achievable

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Historical evaluation shows whether previous escalation would have been identified and whether the signal would have appeared early enough to support planning. 

How It Works
Forward-Looking Planning Intelligence

1. Consolidate

Bring together relevant Class Location information, which may include structure records, development activity, pipeline context and historical assessments.

2. Compute 

Calculate current Class Location across the relevant pipeline segments using a consistent and repeatable method.

3. Track

 

Examine how structures, development and classification conditions have changed over time.

4. Forecast 

Estimate the probability of individual segments escalating to a higher Class Location within a configurable time horizon.

5. Prioritize 

Apply that view across the network to identify segments where potential escalation warrants closer engineering, integrity or planning review.

 

Back test the forecast against known outcomes

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Forward-looking scores can be tested retrospectively against known Class Location outcomes to measure three things that matter operationally: 

→ whether actual escalations would have been identified, 
→ how much useful lead time may have existed,
→ the resulting false-positive burden.

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Designed to complement existing workflows

Class Location Intelligence is not positioned as a replacement for existing Class Location, GIS, integrity or engineering processes. 

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Customers normally ask

Outputs are auditable, repeatable, and suitable for regulatory and internal review

Evaluate where earlier Class Location visibility could help

Review how your team maintains current Class Location, monitors development around the network, and evaluates potential escalation. We can explore whether your available historical information can support meaningful retrospective testing and earlier planning intelligence. 

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