AgentSkillsCN

Assess Utility Outage

评估公用事业中断风险

SKILL.md

Skill: Assess Utility Outage Impact

Domain

utilities

Description

Evaluates utility service outage events to estimate customer impact, restoration priorities, and resource allocation requirements.

Tags

utilities, outage-management, impact-assessment, restoration, infrastructure

Use Cases

  • •Outage impact estimation
  • •Restoration prioritization
  • •Resource deployment planning
  • •Regulatory reporting

Proprietary Business Rules

Rule 1: Customer Impact Scoring

Weighted impact calculation based on customer class and critical facilities.

Rule 2: Restoration Priority Matrix

Priority assignment based on impact score, safety concerns, and resource requirements.

Rule 3: Resource Allocation

Crew and equipment allocation based on damage assessment and restoration complexity.

Rule 4: ETR Calculation

Estimated time to restoration based on historical performance and conditions.

Input Parameters

  • •outage_id (string): Outage event identifier
  • •affected_area (dict): Geographic area details
  • •customer_counts (dict): Customers by class
  • •damage_reports (list): Field damage assessments
  • •weather_conditions (dict): Current weather data
  • •available_crews (int): Available restoration crews

Output

  • •impact_score (float): Overall impact score
  • •priority_level (string): Restoration priority
  • •estimated_restoration (dict): ETR calculation
  • •resource_requirements (dict): Required resources
  • •critical_facilities (list): Affected critical facilities

Implementation

The assessment logic is implemented in outage_assessor.py and references parameters from CSV files:

  • •customer_weights.csv - Reference data
  • •damage_complexity.csv - Reference data
  • •critical_facilities_north.csv - Reference data
  • •critical_facilities_south.csv - Reference data
  • •critical_facilities_east.csv - Reference data
  • •critical_facilities_west.csv - Reference data
  • •priority_thresholds.csv - Reference data
  • •restoration_standards.csv - Reference data
  • •parameters.csv - Reference data.

Usage Example

python
from outage_assessor import assess_outage

result = assess_outage(
    outage_id="OUT-2024-001",
    affected_area={"zone": "north", "substations": ["SUB-101"]},
    customer_counts={"residential": 5000, "commercial": 200, "industrial": 15},
    damage_reports=[{"type": "downed_wire", "severity": "major"}],
    weather_conditions={"wind_mph": 45, "precipitation": "rain"},
    available_crews=12
)

print(f"Priority: {result['priority_level']}")

Test Execution

python
from outage_assessor import assess_outage

result = assess_outage(
    outage_id=input_data.get('outage_id'),
    affected_area=input_data.get('affected_area', {}),
    customer_counts=input_data.get('customer_counts', {}),
    damage_reports=input_data.get('damage_reports', []),
    weather_conditions=input_data.get('weather_conditions', {}),
    available_crews=input_data.get('available_crews', 0)
)