Applications

One spatial intelligence platform, infinite possibilities

LiOps' spatial intelligence runs as a common layer across shipbuilding, logistics, and manufacturing. Spatial MES turns the site into data, and robot crews work on those coordinates. Here is what the problem was in each field, and how we solved it.

Hanwha Ocean pilot completed, deployment in progress · HD Hyundai Samho PoC completed · Samsung Heavy Industries PoC planned

Spatial MES: measured per-block progress

In shipyards where nothing can be barcoded, LiDAR scanning and automatic CAD registration measure per-block progress across in-shop processes such as assembly and outfitting.

100%

CAD registration success

Progress rate error

32%

Productivity improvement

Based on Hanwha Ocean and HD Hyundai Samho projects

The Problem

In onshore shipyard processes, block progress is estimated by managers who physically walk the floor. "Looks about 90% done." Actual progress was 68%.

Manual input-based tracking inevitably introduces errors, premature entries, and estimation bias. This inaccurate data cascades into production planning, delivery scheduling, and financial reporting.

Current Limitations

Manually identifying and tracking thousands of blocks is difficult. Comparing CAD with actual progress requires repeated expert site inspections.

How LiOps Solves This

LiDAR installed in the yard scans the site in 3D, and the spatial model retrieves and registers the currently visible block against hundreds of CAD candidates on its own. No manual matching, no barcodes, no matter where the block moves. Space itself becomes data.

Spatial MES does not replace the existing ERP/MES. It is the layer beneath them that automatically supplies the actuals. Results are delivered in real time through a 3D viewer and dashboards, with timelapse tracking of progress over time.

The Impact

See the Floor Without Walking It

Managers no longer need to walk every bay. From their desk, the 3D viewer shows detailed per-block status, down to individual outfitting component installation.

Data-Driven Delivery

When every block's location and stage is quantified, delivery timelines become data-driven instead of guesswork. Bottlenecks surface early, enabling proactive schedule adjustments.

Accurate Revenue Recognition

Shipbuilding recognizes revenue by percentage of completion. Accurate progress data means work-in-progress costs and revenue recognition stand on quantitative ground, improving the reliability of financial statements at every closing.

Technical Architecture

Localization

Estimates precise spatial relationships between multi-LiDAR sensors, unifying them into a single coordinate system.

Extraction

Automatically extracts work block regions from the full point cloud scene.

Registration

Registers extracted point clouds to CAD models. Position error ≤5cm, rotation error ≤2°.

Progress Rate

Computes per-block progress rates from registration results. Average 5% error vs. actual.

One technology axis

Spatial MES, robot crews, and autonomous logistics all run on the same spatial intelligence model.

Once space becomes data, crews stack on top, one by one. After welding: painting, grinding, finishing, autonomous logistics.

Learn about our technology

Have a similar challenge?

If you're facing automation bottlenecks in shipbuilding, logistics, or manufacturing, let's discuss how LiOps can help.