GIS for Power Transmission and Distribution Training Course

Participants can select coordinate systems and assess positional suitability for utility network data.

• Geographic and projected coordinate reference systems for utility mapping programmes
• Datum transformations selected when combining survey, imagery and legacy mapping datasets
• Horizontal accuracy classes matched to transmission structures and distribution asset types
• GNSS error sources including multipath, canopy obstruction and correction latency
• Survey control points documented with coordinates, datum, epoch and quality metadata
• Positional accuracy statements prepared using ISO 19157 data quality measures

Participants can design a structured data model for power-network assets and attributes.

• Feature classes separated for point, line, polygon and annotation assets
• Asset identifiers structured for uniqueness, persistence and enterprise system matching
• Attribute domains constrain voltage, material, status, ownership and installation values
• Subtypes distinguish overhead, underground, single-phase and three-phase network components
• Relationship classes connect equipment records, inspections, photographs and work orders
• Metadata fields record source, capture date, editor, confidence and update history

Participants can prepare utility source data for controlled loading into a GIS database.

• CAD drawings assessed for layers, blocks, coordinates and attribute completeness
• Spreadsheet asset registers matched to GIS features through controlled identifiers
• Georeferencing scanned plans using ground control points and residual-error review
• ETL mapping defines source fields, target fields, transformations and exceptions
• Legacy network features digitised using imagery, as-built drawings and survey evidence
• Load logs document record counts, rejected features and unresolved conversion issues

Participants can create GIS representations of transmission corridors and right-of-way constraints.

• Centreline alignment captured for transmission routes, spans, towers and access tracks
• Right-of-way polygons derived from easement documents, survey plans and legal descriptions
• Buffer analysis identifies encroachments near conductors, structures and access routes
• Land parcel overlays identify ownership, tenure, compensation and permitting constraints
• Terrain and slope surfaces support access planning and route constructability assessment
• Corridor map layouts communicate route alternatives, constraints and mitigation actions

Participants can model distribution connectivity and identify common topology errors.

• Feeder hierarchies represented from substation busbar through service connection assets
• Topology rules prevent line overshoots, gaps, duplicate features and invalid overlaps
• Snapping tolerances set according to capture scale and positional accuracy requirements
• Junction features model switches, fuses, transformers, joints and sectionalising devices
• Connectivity validation traces disconnected segments and incorrectly connected equipment
• Network diagrams compared against geographic features to identify representation differences

Participants can apply linear referencing to locate assets and events along utility routes.

• Route measures establish consistent chainage along transmission lines and cable corridors
• Calibration points correct measure drift using surveyed structures and route markers
• Point events locate defects, inspections and encroachments by chainage reference
• Line events represent vegetation sections, conductor replacements and condition zones
• Dynamic segmentation displays event records without duplicating route geometry
• Measure direction conventions documented for field crews and engineering contractors

Participants can design field data-capture workflows for utility asset inspections and updates.

• Mobile forms capture asset condition, photographs, coordinates and inspection observations
• Required fields and conditional logic prevent incomplete or inconsistent submissions
• Picklists standardise defect codes, equipment types and maintenance priority ratings
• Offline map packages support collection in remote corridors and low-connectivity areas
• Field validation compares observed assets against mapped records and identifiers
• Synchronisation procedures manage edits, conflicts, approvals and audit trails

Participants can select remote-sensing data for vegetation, corridor and asset monitoring tasks.

• Orthophoto interpretation identifies poles, structures, access roads and visible encroachments
• LiDAR point clouds measure canopy height and conductor-clearance risk zones
• Normalized Difference Vegetation Index supports vegetation condition screening along corridors
• Object-based image analysis separates tree canopy, buildings, roads and bare ground
• Change detection compares imagery dates for construction, encroachment and storm damage
• Remote-sensing outputs verified through field inspection and documented confidence ratings

Participants can apply spatial analysis methods to support network expansion and reinforcement decisions.

• Service-area analysis estimates coverage around substations, feeders and distribution transformers
• Weighted overlay ranks candidate substation sites using demand, land and constraint criteria
• Proximity analysis identifies assets exposed to roads, waterways and construction activity
• Density surfaces reveal clustered service requests, faults and unserved customer locations
• Least-cost path analysis compares route options across terrain and land-use constraints
• Scenario maps document assumptions, criteria weights and decision-sensitive results

Participants can prepare spatial information products for outage assessment and restoration coordination.

• Outage polygons and affected feeders linked through network identifiers and timestamps
• Incident locations mapped with crew positions, access routes and critical facilities
• Spatial joins associate outage events with customers, transformers and administrative areas
• Priority maps identify hospitals, water systems and emergency-response dependencies
• Time-enabled layers display fault reports, restoration status and crew activity sequences
• Operational dashboards specify indicators for affected customers, assets and restoration progress

Participants can combine spatial and asset data to prioritise inspection and maintenance work.

• Condition scores joined to mapped assets using persistent equipment identifiers
• Risk matrices combine probability, consequence, condition and exposure attributes
• Spatial clustering identifies recurring failures and geographically concentrated defect patterns
• Criticality criteria distinguish supply importance, customer impact and safety consequences
• Inspection routes grouped by geography, access constraints and maintenance work type
• Priority work maps communicate intervention packages, dependencies and field access needs

Participants can establish data-quality controls and governance procedures for utility GIS records.

• Completeness checks identify missing assets, mandatory attributes and inspection records
• Logical consistency tests validate domains, relationships, connectivity and lifecycle status
• Positional accuracy sampling compares GIS geometry against survey and field evidence
• Data lineage records source documents, transformations, editors and quality decisions
• Edit workflows define roles, approval gates, versioning and release procedures
• Quality dashboards report error rates, backlog volumes and corrective-action ownership

Participants can produce clear maps for engineering, field operations and management reporting.

• Scale-dependent symbology keeps dense distribution networks readable at multiple map scales
• Voltage, phase and operational status represented through controlled symbol specifications
• Map labels prioritise feeder names, asset identifiers, chainage and critical annotations
• Engineering map templates include title blocks, coordinate grids, legends and revision control
• Operational maps emphasise access, hazards, isolation points and response priorities
• Print and digital outputs checked for legibility, colour contrast and disclosure controls

Participants can define integration requirements between GIS and utility business systems.

• Common Information Model concepts align network assets across enterprise applications
• SCADA references matched to GIS equipment identifiers and operational device records
• Outage management interfaces exchange feeder, switch, customer and location information
• Enterprise asset management links work orders, inspections and equipment lifecycle history
• Application programming interfaces define controlled data exchange and update responsibilities
• Integration specifications document keys, refresh frequency, ownership and exception handling

Participants can apply appropriate controls to sensitive power-network geospatial information.

• Data classification distinguishes public, internal, restricted and critical-infrastructure network information
• Role-based access controls limit editing, export, viewing and administrative permissions
• Field-device procedures protect offline maps, credentials, photographs and synchronised records
• Audit logs record feature edits, attribute changes, approvals and data exports
• Retention schedules manage inspection records, imagery, survey files and superseded maps
• Data stewardship assigns accountability for accuracy, timeliness, metadata and issue resolution

Participants can prepare a practical implementation roadmap for a utility GIS improvement initiative.

• Problem statements connect operational pain points with measurable GIS improvement objectives
• Stakeholder mapping identifies data owners, users, approvers and technical dependencies
• Current-state assessment documents datasets, systems, workflows, gaps and data risks
• Work breakdown structures sequence data conversion, configuration, testing and deployment
• Acceptance criteria define required accuracy, completeness, performance and user outcomes
• Implementation roadmaps assign milestones, responsibilities, resources and governance decisions

Participants can build a working utility GIS dataset and generate evidence for a defined network issue.

• Asset layers created from controlled source data and documented transformation rules
• Topology checks resolve connectivity gaps, duplicate features and invalid attribute values
• Field observations incorporated through approved edits and retained source evidence
• Spatial analysis investigates a feeder, corridor, maintenance or outage problem
• Map outputs communicate findings to engineering, operations and asset-management stakeholders
• Quality records capture limitations, assumptions, exceptions and recommended corrective actions

Participants can review utility GIS deliverables against operational, engineering and data-governance requirements.

• Review criteria assess asset representation, topology, attributes, maps and metadata
• Peer review identifies ambiguous symbology, unsupported conclusions and undocumented assumptions
• Traceability checks link analysis outputs to source records and transformation steps
• Exception registers record unresolved errors, risk ratings, owners and closure dates
• Stakeholder feedback converted into prioritised revisions and acceptance actions
• Presentation narratives connect GIS findings with network decisions and implementation choices

Participants can build, review and present a complete GIS project for a transmission or distribution network requirement.

• Project brief defines network problem, users, decisions, constraints and success criteria
• Data model specifies asset classes, identifiers, domains, relationships and quality rules
• Network dataset integrates source records, geometry, connectivity and documented metadata
• Spatial analysis produces evidence for planning, maintenance, corridor or outage decisions
• Implementation plan sets governance, field updates, integration priorities and delivery milestones
• Final presentation defends methods, findings, limitations, recommendations and next actions