Mechanical Plant Optimisation

Mechanical Plant Optimisation: Boosting Throughput, Reliability and Safety Across Australia

Industrial plants are under more pressure than ever to deliver higher output, reduce downtime and operate safely. Ageing equipment, inconsistent maintenance, and brownfield constraints often limit performance — but with the right engineering approach, even long-running plants can achieve major efficiency gains.

At Hamilton By Design, we specialise in mechanical plant optimisation using a powerful combination of engineering expertise, high-accuracy LiDAR scanning, precise 3D modelling, and practical redesign strategies that deliver measurable improvements.

If your goal is higher throughput, fewer breakdowns and safer shutdowns, this guide explains how mechanical optimisation transforms plant performance.

Why Mechanical Plant Optimisation Is Essential

Most processing plants — from CHPPs and quarries to manufacturing and power stations — suffer from the same long-term issues:

Reduced throughput
Conveyor misalignment
Flow bottlenecks in chutes and transfer points
Vibration, cracking and structural fatigue
Outdated drawings and unknown modifications
Premature wear and high maintenance costs
Shutdown overruns due to poor fit-up

Optimisation tackles these issues using real engineering data, not assumptions.

Step 1: LiDAR Scanning to Capture True As-Built Conditions

As equipment ages, it moves, twists and wears in ways that drawings rarely capture. Our FARO laser scanners map a complete digital twin of your plant with ±1–2 mm accuracy, giving engineers:

Full geometry of structural frames
Wear patterns inside chutes
Deflection in platforms, conveyor trusses and supports
Misalignment in pipes, pulleys and mechanical drives
Clash risks for future upgrades

This becomes the foundation of all optimisation work — ensuring upgrades fit first time.

Step 2: 3D Modelling & Engineering Redesign

Hamilton By Design converts point-cloud data into SolidWorks models to identify optimisation opportunities such as:

Reprofiling chutes for smoother flow
Strengthening or realigning structural members
Repositioning pumps or motors
Correcting conveyor and drive alignment
Redesigning access platforms for maintenance
Improving liner selection and service life

Every model is fabrication-ready, eliminating costly rework during shutdowns.

Step 3: Material Flow & Conveyor Performance Improvement

Flow constraints are one of the biggest sources of lost production. Through engineering review, modelling and experience, we address:

Impact zones causing excessive wear
Restrictive chute geometry
Poorly performing transfer points
Belt-tracking issues
Flow blockages
Inefficient material transitions

These improvements often deliver immediate gains in throughput and reliability.

Step 4: Mechanical Integrity & Reliability Assessments

We also perform condition assessments to understand the root causes of downtime:

Vibration analysis
Cracking and corrosion detection
Bearing, gearbox and pulley assessment
Thermal/overload risks
Misalignment and load distribution issues

This supports predictive maintenance and informed upgrade planning.

Step 5: Shutdown Planning & Upgrade Execution

By combining scanning, modelling and mechanical design, we ensure that every upgrade:

Fits perfectly into existing brownfield spaces
Reduces time on tools
Eliminates site modifications
Improves safety during installation
Delivers predictable shutdown timelines

Clients commonly see ROI within the first shutdown cycle.

Benefits of Mechanical Plant Optimisation

When optimisation is done properly, plants experience:

✔ Measurable throughput increases

✔ Longer equipment life

✔ Reduced wear and maintenance costs

✔ Safer operation and shutdown execution

✔ Accurate documentation for future projects

✔ Extended reliability of mechanical systems

With the right engineering support, even ageing plants can operate like new.

Serving Clients Across Australia

Hamilton By Design supports mechanical plant optimisation projects across:
Sydney, Newcastle, Hunter Valley, Central Coast, Bowen Basin, Surat Basin, Pilbara, Perth, Adelaide, Melbourne and regional Australia.

We work across mining, CHPPs, quarries, ports, power stations, manufacturing and heavy industrial sites.

Ready to Optimise Your Plant?

If you want higher throughput, better reliability and safer operation, mechanical plant optimisation is the smartest investment you can make.

Or reach out directly for a project discussion.

Hamilton By Design — Engineering Certainty for Complex Plants.

6 December 202512 December 2025

3D LiDAR Scanning Hunter Valley Power Stations

FARO 3D laser scanner set up on a tripod capturing an industrial plant for LiDAR scanning and digital modelling, with Hamilton By Design branding in the corner.

Unlocking Accuracy, Safety and Efficiency for Critical Infrastructure

The Hunter Valley is home to some of Australia’s most significant power generation assets. These power stations — many of which have operated for decades — supply energy to mining operations, manufacturing facilities, regional communities and industries throughout New South Wales. As these plants age and undergo continual maintenance, upgrades and redevelopment, the importance of accurate, reliable and safe measurement methods becomes increasingly critical.

Traditionally, engineers and maintenance teams have relied on manual measurements, outdated drawings or partial documentation to plan upgrades or execute shutdown work. But in complex, congested and ageing plant environments, this introduces risks, delays and expensive rework.

This is why 3D LiDAR scanning in Hunter Valley power stations has emerged as one of the most valuable tools for modern asset management, engineering and maintenance planning. LiDAR provides a millimetre-accurate digital snapshot of real-world conditions, enabling smarter, safer and more predictable project outcomes.

This article explores the benefits, applications, and pros and cons of 3D LiDAR scanning and explains why Hunter Valley power stations stand to gain significantly from adopting this technology.

Why Power Stations Need Accurate As-Built Data

Power stations are among the most complex industrial facilities in Australia. Over decades of operation, they experience:

Structural deformation
Settlement and movement
Corrosion and wear
Numerous undocumented modifications
Equipment realignments
Tight access restrictions
Ageing steelwork and infrastructure

In these environments, original construction drawings rarely match reality. As a result, engineers planning upgrades, shutdowns or replacements often face:

Inaccurate interface points
Misaligned structures
Unpredictable installation conditions
High rework costs
Safety delays
Poor shutdown timing

3D LiDAR scanning offers a precise, digital representation of the site, giving engineers the confidence they need to design upgrades accurately and eliminate guesswork.

The Benefits of 3D LiDAR Scanning for Hunter Valley Power Stations

1. Unmatched Measurement Accuracy for Complex Assets

A power station contains thousands of interconnected components:

Boilers
Turbines
Structural platforms
Pipe networks
Pressure vessels
Ducting systems
Conveyor bridges
Cooling towers
Electrical cabinets
Steel supports

Capturing these geometries manually is nearly impossible.

3D LiDAR scanning provides millimetre-level accuracy across enormous plant areas, allowing engineers to:

Create precise as-built models
Validate structural alignment
Check pipe routes and clearances
Identify interferences
Understand deformation over time
Design new works based on real geometry

This level of data is invaluable for maintaining safe and compliant power-generation operations.

2. Major Safety Improvements

Power stations present significant safety risks:

High-voltage environments
Confined spaces
Elevated platforms
Hot surfaces
Restricted access
Operational machinery

Manual measurement often requires workers to climb structures, enter hazardous zones or physically reach difficult areas.

3D LiDAR scanning dramatically reduces risk by:

Capturing data from safe distances
Eliminating the need for repeated access
Reducing time in hazardous zones
Minimising interaction with live equipment

For Hunter Valley power stations with strict safety requirements, this is a major benefit.

3. Reduced Shutdown Duration and Cost

Shutdowns are among the most expensive events for power-generation facilities. Every hour counts.

With 3D LiDAR scanning:

Engineers define accurate scopes before shutdown
Fabricators receive precise data and cut steel correctly
Digital fit checks identify issues early
Installation is faster and smoother
Delays due to bad measurements are eliminated

This leads to shorter outages, safer work and fewer unexpected problems.

4. Supports Engineering, Design and Structural Integrity Works

Power stations frequently require:

Boiler upgrades
Turbine area modifications
Ducting and flue replacements
Pipework rerouting
Cooling-system upgrades
Structural strengthening
Platform and walkway replacements
Electrical equipment relocations

All of these tasks depend on accurate geometry.

3D LiDAR scanning supports engineering teams by providing:

Reference geometry for load calculations
Verified connection points
True alignment data
Accurate slope and deflection measurements
High-resolution drawings and 3D models

This ensures engineering decisions are made using verified, real-world information.

5. Perfect for Brownfield and Congested Environments

Power stations are some of the most complex brownfield assets in the industrial landscape. They contain layers of modifications, years of retrofits and areas where access is extremely limited.

3D LiDAR scanning excels at capturing:

Tight clearances
Overlapping structures
Equipment clusters
Interconnected pipes
Hard-to-reach surfaces

This makes it ideal for planning:

New platforms
Replacement ducting
Pipe realignments
Structural upgrades
Asset lifecycle extensions

The result: fewer surprises during installation.

6. Better Collaboration Between Teams

Power stations typically involve:

Maintenance teams
OEMs
Engineering consultants
Fabricators
Shutdown managers
Safety personnel
Project delivery teams

3D LiDAR scanning enables everyone to work from the same digital truth.

Point clouds and 3D models allow:

Remote site understanding
Clear communication
Digital reviews instead of repeated site visits
Improved planning alignment

For Hunter Valley projects involving multiple contractors, this significantly boosts performance.

Pros and Cons of 3D LiDAR Scanning

Like any technology, LiDAR has strengths and limitations. Understanding both helps power station operators make informed decisions.

Pros

✔ Extremely high accuracy

Millimetre precision for large and complex areas.

Fast data capture

Reduces time spent in hazardous areas.

Clear visibility of congested spaces

Captures geometry that traditional methods miss.

Enhances engineering confidence

Designers base work on verified conditions.

Reduces installation rework

Fabrication matches the real site exactly.

Supports digital engineering workflows

Perfect input for CAD, BIM, simulation and modelling.

Safer measurement practices

Less climbing, reaching and confined-space entry.

Cons

Requires skilled interpretation

Point cloud data must be processed by trained technicians or engineers.

Large file sizes

High-resolution scans require strong computing resources.

Reflective or transparent surfaces can create challenges

Requires technique or matte marking in some areas.

Upfront cost may seem higher

But it eliminates far greater downstream costs in rework and shutdown delays.

Despite these considerations, LiDAR scanning remains the most cost-effective measurement tool for power station environments.

Why Hunter Valley Power Stations Benefit More Than Most

The Hunter Valley industrial landscape presents unique challenges:

Ageing energy infrastructure
Multiple retrofits and undocumented modifications
Extremely tight maintenance windows
Harsh environmental conditions
Congested structures with difficult access
High safety standards
Heavy reliance on local fabrication accuracy

3D LiDAR scanning Hunter Valley power stations provides the one thing these facilities need most: confidence.

Confidence in measurements.
Confidence in fabrication.
Confidence during shutdowns.
Confidence in engineering decisions.
Confidence in safety performance.

Few regions stand to gain more from LiDAR than the Hunter.

Hamilton By Design: Supporting Hunter Valley Power Stations with Advanced LiDAR Solutions

Hamilton By Design brings together:

Engineering expertise
On-site scanning capability
CAD modelling and drafting
Fabrication-ready documentation
Digital fit-checking and clash detection
Mechanical and structural design experience

We understand the complex realities of power-station environments, and we deliver precise, reliable and engineering-ready digital data for:

Boiler upgrades
Turbine hall modifications
Structural replacements
Pipe rerouting
Platform and access upgrades
Ducting and flue modifications
Cooling tower projects
Balance-of-plant improvements

Every model, point cloud and drawing is produced with installation success and fabrication accuracy in mind.

Conclusion: 3D LiDAR Scanning is the New Standard for Hunter Valley Power Stations

As the Hunter Valley transitions into a future of renewable generation, asset extension and industrial redevelopment, 3D LiDAR scanning stands out as a technology that delivers real, immediate value.

It improves safety.
It increases accuracy.
It reduces rework.
It enables better engineering.
It shortens shutdowns.
It lowers project risk.

Power stations across the Hunter Valley rely on critical, ageing and highly complex infrastructure — infrastructure that demands accurate, reliable digital measurement.

Hamilton By Design is proud to support the region with advanced laser scanning technologies that empower engineers, fabricators, supervisors and project managers to work smarter, safer and more efficiently.

3D Laser Scanning

Hunter Valley Laser Scanning: Transforming Engineering Accuracy Across Mining, Manufacturing and Infrastructure

3D Laser Scanning in Singleton and the Hunter: Delivering Accuracy for Mining, Manufacturing and Industrial Projects

Laser Scanning Hunter Valley: Delivering Engineering-Grade Accuracy for Mining, Manufacturing and Industrial Projects

Our clients

5 December 20255 December 2025

The Real-World Accuracy of 3D LiDAR Scanning With FARO S150 & S350 Scanners

When people first explore 3D LiDAR scanning, one of the most eye-catching numbers in any product brochure is the advertised accuracy. FARO’s Focus S150 and S350 scanners are often promoted as delivering “±1 mm accuracy,” which sounds definitive and easy to rely on for engineering, mining and fabrication work. But anyone who has spent time working with 3D LiDAR scanning in real industrial environments understands that accuracy isn’t a single number — it is a system of interrelated factors.

This article explains what the ±1 mm specification from FARO really means, how accuracy shifts with distance, and what engineers, project managers and clients need to do to achieve dependable results when applying 3D LiDAR scanning on live sites.

Infographic explaining 3D LiDAR scanning accuracy, showing a scanner capturing a building and highlighting factors that affect accuracy such as temperature, atmospheric noise, surface reflectivity and tripod stability. Includes diagrams comparing realistic versus unrealistic ±1 mm accuracy, the impact of distance, environment and registration quality, and notes that large open sites typically achieve ±3–6 mm global accuracy.

1. What FARO’s “±1 mm Accuracy” Really Means in 3D LiDAR Scanning

The ±1 mm number applies only to the internal distance measurement unit inside the scanner. It reflects how accurately the laser measures a single distance in controlled conditions.

It does not guarantee:

±1 mm for every point in a full plant model
±1 mm for every dimension extracted for engineering
±1 mm global accuracy across large multi-scan datasets

In 3D LiDAR scanning, ranging accuracy is just one ingredient. Real-world accuracy is shaped by distance, reflectivity, scan geometry and how multiple scans are registered together.

2. How Accuracy Changes With Distance in Real Projects

Even though the S150 and S350 list the same ranging accuracy, their 3D LiDAR scanning performance changes as distance increases. This is due to beam divergence, angular error, environment and surface reflectivity.

Typical real-world behaviour:

0–10 m: extremely precise, often sub-millimetre
10–25 m: excellent for engineering work, only slight noise increase
25–50 m: more noticeable noise and increasing angular error
50–100 m: atmospheric distortion and reduced overlap become evident
Near maximum range: still useful for mapping conveyors, yards and structures, but not suitable for tight fabrication tolerances

This distance-based behaviour is one of the most important truths to understand about 3D LiDAR scanning in field conditions.

3. Ranging Accuracy vs Positional Accuracy vs Global Accuracy

Anyone planning a project involving 3D LiDAR scanning must distinguish between:

Ranging Accuracy

The ±1 mm value — only the distance measurement.

3D Positional Accuracy

The true X/Y/Z location of a point relative to the scanner.

Global Point Cloud Accuracy

How accurate the entire dataset is after registration.

Global accuracy is the number engineers depend on, and it is normally around ±3–6 mm for large industrial sites — completely normal for terrestrial 3D LiDAR scanning.

4. What Real Field Testing Reveals About FARO S-Series Accuracy

Independent practitioners across mining, infrastructure, CHPPs, plants and structural environments report similar results when validating 3D LiDAR scanning against survey control:

±2–3 mm accuracy in compact plant rooms
±5–10 mm across large facilities
Greater drift across long, open, feature-poor areas

These outcomes are not equipment faults — they are the natural result of how 3D LiDAR scanning behaves in open, uncontrolled outdoor environments.

5. Why Registration Matters More Than the Scanner Model

Most real-world error in 3D LiDAR scanning comes from registration, not the laser itself.

Cloud-to-Cloud Registration

Good for dense areas, less reliable for long straight conveyors, open yards or tanks.

Target-Based Registration

Essential for high-precision engineering work.
Allows tie-in to survey control and dramatically improves global accuracy.

If your project needs ±2–3 mm globally, target control is mandatory in all 3D LiDAR scanning workflows.

6. Surface Reflectivity and Environmental Effects

Reflectivity dramatically affects measurement quality during 3D LiDAR scanning:

Matte steel and concrete return excellent data
Rusted surfaces return good data
Dark rubber, black plastics and wet surfaces reduce accuracy
Stainless steel and glass behave unpredictably

Environmental factors — wind, heat shimmer, dust, rain — also reduce accuracy. Early morning or late afternoon typically produce better 3D LiDAR scanning results on mining and industrial sites.

7. When ±1 mm Is Actually Achievable

True ±1 mm accuracy in 3D LiDAR scanning is realistic when:

Working within 10–15 m
Surfaces are matte and reflective
Registration uses targets
Tripod stability is high
Conditions are controlled

This makes it suitable for:

Pump rooms
Valve skids
Structural baseplates
Reverse engineering
Small mechanical upgrades

But achieving ±1 mm across a full plant, CHPP, or yard is outside the capability of any terrestrial 3D LiDAR scanning workflow.

8. S150 vs S350: Which One for Your Accuracy Needs?

S150 – Engineering-Focused Precision

Ideal for industrial rooms, skids, structural steel and retrofit design work where short-to-mid-range accuracy is essential.

S350 – Large-Area Coverage

Perfect for conveyors, rail lines, yards, and outdoor infrastructure.
Global accuracy must be survey-controlled for tight tolerances.

Both scanners deliver excellent 3D LiDAR scanning performance, but the S150 is the engineering favourite while the S350 is the large-site specialist.

9. What to Specify in Contracts to Avoid Misunderstandings

Instead of stating:

“Scanner accuracy ±1 mm.”

Specify:

Local accuracy requirement (e.g., ±2 mm at 15 m)
Global accuracy requirement (e.g., ±5 mm total dataset)
Registration method (mandatory target control)
Environmental constraints
Verification method (e.g., independent survey checks)

This ensures everyone understands what 3D LiDAR scanning will realistically deliver.

10. When a Terrestrial Scanner Is Not Enough

Do not rely solely on 3D LiDAR scanning for:

Machine alignment <1 mm
Bearing or gearbox placement
Certified dimensional inspection
Metrology-level tolerances

In these cases, supplement scanning with:

Laser trackers
Total stations
Metrology arms
Hybrid workflows

Conclusion: The Real Truth About 3D LiDAR Scanning Accuracy

FARO’s S150 and S350 are outstanding tools for industrial 3D LiDAR scanning, but the ±1 mm spec does not tell the full story. Real-world accuracy is a combination of:

Distance
Registration method
Surface reflectivity
Site conditions
Workflow discipline

When used correctly, these scanners consistently deliver high-quality, engineering-grade point clouds suitable for clash detection, retrofit design, fabrication planning and as-built documentation.

3D LiDAR scanning is not just a laser — it is an entire measurement system.
And when the system is applied with care, it produces reliable, repeatable data that reduces rework, improves safety, and strengthens decision-making across mining, construction, fabrication and industrial operations.

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