Every request to verify an equipment layout or confirm a site dimension creates a decision: Does someone need to return to the facility, or can the question be answered with information the utility already has?
When existing records are incomplete or difficult to find, another visit often becomes the default. That consumes skilled employee time and may create additional exposure to operating environments simply to collect information.
Autonomous scanning gives utilities an opportunity to reconsider that pattern. Its long-term value depends on more than completing a scan. The business opportunity is to create trustworthy site information that engineering, operations, and project teams can reuse.
IMAGINiT’s original discussion of autonomous scanning emphasizes both reducing field exposure and making captured information useful beyond the collection task. For utility leaders, those objectives belong in the same investment decision.
Reduce Documentation-Related Exposure
Utilities cannot remove the need for employees to maintain, inspect, and operate infrastructure. They can examine how often people enter operating areas solely to gather dimensions or document visible conditions.
A useful starting point is to separate tasks that require hands-on work from tasks that could potentially be supported by remote review.
For example, planning a facility modification may require several stakeholders to understand equipment locations, access routes, and surrounding structures. A suitable digital site record can support preliminary reviews before those stakeholders arrive in person.
Autonomous capture may further reduce the time personnel spend accompanying the scanner through an approved area. But deployment still requires a site-specific assessment. The carrier’s suitability, terrain, communications, operating boundaries, and recovery procedures all affect whether the approach is appropriate.
A robot-mounted scanner does not remove electrical safety requirements, confined-space controls, or restrictions on hazardous locations. Reduced exposure must be demonstrated within an approved workflow.
Make One Capture Serve Multiple Business Needs
A dataset created for one capital project may also help other teams understand the same facility.
Potential uses include:
- Engineering: Reviewing visible existing conditions during preliminary design.
- Operations: Discussing equipment arrangements and maintenance access.
- Construction planning: Evaluating installation routes and sequencing constraints.
- Workforce development: Orienting employees to a facility’s physical layout before a visit.
- Asset information management: Providing spatial context alongside controlled asset records.
Each additional use can increase the return on the original capture effort, provided the data is suitable for that purpose.
This is especially relevant when experienced employees hold detailed site knowledge that is difficult to transfer. A shared spatial reference gives them a concrete way to explain equipment relationships and discuss site constraints with newer colleagues.
The scan supports that knowledge transfer. It does not independently describe operating procedures, equipment condition, or everything concealed behind visible surfaces.
Establish Trust Before Encouraging Reuse
Teams will continue requesting site visits if they cannot tell whether a dataset is current, complete, or appropriate for their task.
A reusable information resource therefore needs clear ownership and context. Users should be able to identify:
- When the information was captured.
- Which areas were included or excluded.
- What accuracy and verification requirements were applied.
- Which asset or facility the dataset relates to.
- Whether subsequent work may have changed the recorded conditions.
A point cloud also needs a practical access method. If only one specialist can open the file, its usefulness across the organization will be limited.
Utilities should determine how approved users will view information, request measurements, and identify limitations. Connections to CAD, BIM, GIS, or asset management workflows should be planned and validated against specific requirements. A scan does not automatically become a fully attributed asset model or an operational digital twin.
Measure Value Through Use and Avoided Visits
The number of scans completed is an activity measure. It does not show whether the investment improved performance.
More useful measures include documentation-related site visits, personnel hours in designated operating areas, time required to answer site questions, and the number of teams using an accepted dataset.
An illustrative example shows how reuse can affect the business case. Suppose engineering, operations, and a project contractor each plan a separate documentation visit. If a validated dataset removes the need for two of those visits, the benefit includes the associated travel, preparation, escort, and review time.
Count only visits actually avoided, and include the effort required to prepare and manage the shared information. Track reduced exposure separately rather than assigning speculative dollar values to incidents that did not occur.
Plan Updates Around Decisions and Change
More frequent scanning is not automatically more valuable. Capture frequency should reflect how quickly a site changes and what decisions depend on current information.
A stable facility may need updates after significant modifications. An active capital project may justify capture at selected milestones. Leica identifies repeatable scan missions as a capability of BLK ARC with compatible robotic carriers, which can support an intentional approach to recurring collection.
Start with a facility where several teams need the same information. Establish how the data will be accepted, accessed, maintained, and used. Then assess whether reuse reduces unnecessary visits and helps employees prepare more effectively.
Connect with IMAGINiT’s Utilities team to explore a reality capture strategy that supports safer information collection and greater value from your asset data.
