Majid Doost

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Using 3D laser scanning for the as-built documentation of rail culverts 

3D laser scanning for the as-built documentation of rail culverts offers several benefits: 

Accuracy: 3D laser scanning provides highly accurate measurements and detailed representations of the rail culvert's geometry, capturing even the smallest details with precision. This accuracy ensures that the as-built documentation reflects the true condition of the structure, reducing the risk of errors and discrepancies.

Efficiency: Compared to traditional surveying methods, 3D laser scanning is much faster and more efficient. The scanning process can be completed in a fraction of the time it would take to manually measure and record data, allowing for rapid data acquisition and processing.

Comprehensive Data Capture: Laser scanning captures millions of data points to create a detailed point cloud of the rail culvert and its surroundings. This comprehensive data capture enables engineers and designers to analyze the structure from various angles and perspectives, facilitating better decision-making and problem-solving.

Minimized Disruption: Since 3D laser scanning is non-contact and non-destructive, it minimizes disruption to rail operations and surrounding environments. Scanning can often be performed without the need for track closures or extensive site preparation, reducing downtime and costs associated with surveying activities.

Safety: Laser scanning allows for remote data collection, keeping surveyors out of potentially hazardous environments such as busy rail corridors or unstable terrain. This improves safety for surveying personnel and reduces the risk of accidents or injuries on-site.

Documentation and Visualization: 3D laser scanning generates detailed digital models and visualizations of the rail culvert, which can be easily shared and accessed by project stakeholders. These digital assets serve as valuable documentation for future reference, maintenance planning, and asset management.

Sample: https://scantechsurveys.com.au/Potree_1.8/Gallery/RTIO-CULVERTS/DD180344/DD180344.html

Overall, leveraging 3D laser scanning for the as-built documentation of rail culverts enhances efficiency, accuracy, and safety while providing comprehensive data capture and documentation for infrastructure management and maintenance purposes.

We use state-of-the-art Technologies, fitting the scope of the job to save time and increase efficiency and Safety

 

Nov 20

3D Scan of Roof Steel Structure

3D Scan to BIM (Building Information Modeling) is a process that involves converting point cloud data obtained from 3D laser scanning into a detailed and accurate digital representation of a building or infrastructure. This process is particularly useful in architecture, engineering, and construction industries for renovation, retrofitting, and maintenance projects.

Here is a general overview of the steps involved in the 3D Scan to BIM process:

  1. 3D Laser Scanning:

    • Use a 3D laser scanner to capture accurate and detailed point cloud data of the existing building or structure.
    • The scanner emits laser beams and measures the time it takes for the laser to return, creating a point cloud that represents the surfaces and geometry of the scanned environment.
  2. Data Cleanup and Filtering:

    • Remove any unwanted or extraneous data points from the point cloud.
    • Filter out noise or errors introduced during the scanning process.
  3. BIM Modeling:

    • Import the 3D mesh into BIM software (such as Revit)
    • Create intelligent BIM elements such as walls, floors, ceilings, doors, windows, and other architectural and structural components based on the scanned data.
  4. Quality Control:

    • Verify the accuracy of the BIM model by comparing it to the original point cloud data.
    • Make adjustments as needed to ensure the model aligns with the actual physical structure.
 The 3D Scan to BIM process significantly improves the efficiency and accuracy of building documentation and design in construction and architectural projects. It allows for better decision-making, clash detection, and collaboration among stakeholders.

 

3D Scanning for Deflection Report

 

A well-structured and comprehensive 3D laser scanning report for structural deflection should provide a clear understanding of the structure's condition, the extent of any movement, and any necessary actions for maintenance or improvement. We have completed two epochs of 3D scans for determining the deflection of K frames of shading cloth sheets of a swimming pool. The deflection was due to the expansion and retraction of the shading sheets and the tension forced from connecting cables. The results provided a thorough dimensional report to the client for each span. 

 

We use state-of-the-art Technologies, fitting the scope of the job to save time and increase efficiency 

 

Sep 18

3D Scanning of the Pillars of a Wharf

 

Our Slam Scanner is now equipped with RTK module which is a significant factor in controlling drift when doing corridor mapping without the need to make loops in the capture path. The RTK module eliminates the need for GCPs for horizontal orientation.
Recently we completed a 3D scan of the underside pillars of a Wharf; 3D Scanning operation was done from the waterside on a JetSki while RTK module was connected to our Ntrip Base network via the in-built GSM modem. The trajectory of the scanner has been captured within 1-2 cm accuracy and there was no drift as expected.

 

We use state-of-the-art Technologies, fitting the scope of the job to save time and increase efficiency 

 

Sep 13

Slab Flatness Analysis

Slab flatness analysis using 3D laser scanning is a precise and efficient method for evaluating the flatness and levelness of large horizontal surfaces such as concrete slabs, road pavements, airport runways, warehouse floors, and more. This technology provides highly accurate and detailed data about the surface geometry, which can be crucial for quality control, maintenance, and construction projects.

In our recent project, SCAN TECH SURVEYS was tasked to prepare a heatmap report about the rise and fall values on a warehouse slab with 2-3 mm accuracy. We used our top-of-the-range Scan Station P50 Scanner to compile this comprehensive report. 

 We have expertise and experience to create high quality and comprehensive reports for levelness and flatness of conceret slabs

 

Sep 11

Slam Mobile Scanner

 

A SLAM (Simultaneous Localization and Mapping) handheld scanner with RTK (Real-Time Kinematic) positioning combines the capabilities of SLAM technology with highly accurate real-time positioning. This combination offers several benefits in various applications:

High Precision Mapping: RTK positioning provides centimeter-level accuracy in real-time. When combined with SLAM, it enables the creation of extremely precise 3D maps of environments. This is especially useful in applications like construction, archaeology, and forestry, where accurate mapping is critical.

  • Efficient Surveying: Surveyors and land professionals can use SLAM handheld scanners with RTK to significantly reduce surveying time and effort. The high accuracy of RTK ensures that survey data is reliable, while SLAM technology helps automate the mapping process, making it more efficient.
  • Indoor and GPS-Denied Environments: Traditional GPS systems may not work well indoors or in environments with limited GPS signal availability (e.g., dense urban areas or forests). SLAM with RTK allows for precise mapping and positioning in such GPS-denied scenarios, making it valuable for indoor navigation, construction within buildings, or forest management.
  • Improved Augmented Reality: When used in augmented reality (AR) applications, the combination of SLAM and RTK allows for more accurate and stable AR overlays. This can enhance user experiences in gaming, navigation, or industrial training scenarios.
  • Autonomous Robotics: SLAM with RTK is crucial for autonomous robots, drones, and vehicles operating in dynamic, unstructured environments. The high precision of RTK positioning combined with SLAM's mapping capabilities enables safe and efficient navigation, making these technologies suitable for agriculture, search and rescue, and autonomous vehicles.
  • Reduced Drift and Error: RTK helps mitigate drift and cumulative error in the SLAM system. Over time, SLAM systems can accumulate errors in position estimation, especially in large environments. RTK positioning provides corrections that keep the SLAM map aligned with the real-world environment.
  • Emergency Response and Disaster Management: SLAM handheld scanners with RTK positioning can be invaluable in emergency response and disaster management. They can quickly create accurate maps of disaster-stricken areas, aiding rescue teams in their efforts to locate victims and plan rescue operations.
  • Infrastructure Inspection: Infrastructure inspection, such as power lines, pipelines, and bridges, can benefit from the high accuracy of RTK positioning when combined with SLAM. It allows for precise monitoring, maintenance planning, and anomaly detection.
  • Reduced Manual Intervention: With RTK-enhanced SLAM, there is less reliance on manual measurements and positioning, reducing the risk of human error and speeding up data collection and analysis processes.
  • Cost Savings: While RTK-equipped devices and SLAM technology can be an investment, the increased efficiency, accuracy, and reduced need for manual labor can lead to significant cost savings in various industries over the long term.

Overall, the combination of SLAM handheld scanners with RTK positioning offers enhanced accuracy and efficiency across a wide range of applications, making it a valuable tool for professionals in fields such as surveying, construction, robotics, and emergency response.

 

"Unlock a new dimension of accuracy and productivity with the Slam RTK handheld scanner, revolutionizing spatial data capture.

 

Aug 12

3D Scan of Roof Steel Structure

In the field of architecture, engineering, and construction, technology continues to revolutionize the way we approach various challenges. One such innovative technique gaining traction is 3D scanning of roof structures. This method offers numerous benefits, from accurate measurements to streamlined renovation projects. In this blog post, we will delve into the advantages of 3D scanning for roof structures and shed light on the scanning process.

Advantages of 3D Scanning for Roof Structures

  1. Accurate Measurements: Traditional methods of measuring roof structures can often be time-consuming and prone to human errors. 3D scanning eliminates these issues by providing precise measurements of the entire roof with minimal human intervention. This accuracy is particularly important when planning renovations or designing new structures that need to align perfectly with existing roofs.

  2. Time and Cost Efficiency: 3D scanning drastically reduces the time required for data collection compared to traditional methods. This efficiency translates into cost savings since fewer man-hours are needed for the scanning process. Moreover, the collected data can be shared digitally with architects, engineers, and other stakeholders, reducing the need for multiple site visits.

  3. Enhanced Safety: Roof inspections can be hazardous, requiring workers to climb to considerable heights. 3D scanning eliminates the need for prolonged physical presence on the roof, thus reducing the risk of accidents. This is especially beneficial when assessing roofs with complex geometries or in challenging weather conditions.

  4. Comprehensive Data Capture: Traditional methods might miss intricate details of a roof's structure. 3D scanning captures comprehensive data, including the exact shape, dimensions, and surface irregularities. This data can be valuable for conducting structural analyses and simulations.

  5. Better Project Visualization: With a detailed 3D model of the roof, architects and clients can visualize how different design elements will interact with the existing structure. This enhances decision-making and ensures that the final design aligns with the initial vision.

 3D scanning of roof structures is revolutionizing the way we approach construction and renovation projects

 

Aug 10

3D Scanning of Tree and Calculating Volume of Branches  

 

Using 3D scanning technology to calculate the volume of tree branches can offer several benefits in various applications, including forestry management, environmental research, and urban planning. Here are some advantages of using 3D scanning for this purpose:

  1. Accurate Volume Calculation: 3D scanning provides a highly accurate way to measure the volume of tree branches. This precision is important for making informed decisions about tree health, biomass estimation, and resource allocation.

  2. Non-Intrusive Method: Traditional methods of measuring tree volume, such as felling the tree and sectioning its branches, can be destructive and harmful to the environment. 3D scanning allows for non-intrusive measurements, which preserves the tree and its ecosystem.

  3. Efficiency: 3D scanning technology is relatively quick and efficient. It can capture a detailed 3D model of the tree's branches in a short amount of time, saving labor and resources compared to manual measurements.

  4. Data Visualization: The 3D models generated from scanning can provide visual representations of the tree's structure, allowing researchers and decision-makers to better understand the branching patterns and overall health of the tree.

  5. Biomass Estimation: Accurate volume calculations from 3D scanning can help estimate the biomass of the tree's branches. This information is valuable for assessing carbon sequestration potential, fuelwood availability, and other ecological considerations.

  6. Preservation from falling: In case the tree is old (like this example), 3D scanning helps structural engineering to come up with accurate design regards with designing proper rated scaffolding or steel structure to preserve the tree to crack down and falling apart.  

 

3D laser scanning is the most efficient mthod to calcualte the volume of a tree via 3D modeling process. 

 

Jul 28

3D Scan of Steel Structure

3D scanning of steel structures offers numerous benefits across various industries. Here are some of the key advantages:

  1. Accurate As-Built Documentation: 3D scanning provides precise and detailed as-built documentation of steel structures. This information is valuable for renovation, maintenance, and retrofitting projects, as it ensures that new components or modifications fit perfectly into existing structures.

  2. Time and Cost Savings: Traditional manual measurement methods can be time-consuming and labor-intensive, especially for complex steel structures. 3D scanning significantly reduces the time required to capture data, leading to cost savings in terms of labor and project timelines.

  3. Non-Destructive Data Collection: 3D scanning is a non-contact and non-destructive technology. It does not require physical contact with the structure, preventing any potential damage that could occur with conventional measurement techniques.

  4. Improved Safety and Risk Reduction: By minimizing the need for human intervention in hazardous environments, 3D scanning contributes to improved safety for workers. It also reduces the risk of errors or inaccuracies that might lead to safety issues in the future.

  5. Enhanced Design and Analysis: The accurate 3D data obtained from scanning allows engineers and designers to conduct simulations and analyses more effectively. This capability enables them to identify potential structural weaknesses, analyze load-bearing capacities, and make informed decisions during the design phase.

  6. Facilities Management and Maintenance: 3D scanning aids in facilities management by providing an up-to-date digital model of the steel structure. Maintenance teams can use this model to plan maintenance schedules, identify areas that need repair, and optimize asset management.

  7. Visual Communication and Collaboration: 3D scanning generates detailed visual representations of steel structures. These visuals help stakeholders, including clients, architects, engineers, and construction teams, to better understand the project, leading to improved collaboration and decision-making.

  8. Preservation of Historical Structures: For historic steel structures, 3D scanning offers a way to preserve their architectural and engineering heritage. By creating accurate digital records, restoration efforts can be more precise, ensuring the structure's integrity is maintained.

  9. Quality Control and Inspection: 3D scanning enables comprehensive quality control and inspection processes. By comparing the scanned data with design specifications, deviations and defects can be identified early, reducing the likelihood of construction errors.

  10. Integration with Building Information Modeling (BIM): 3D scanning seamlessly integrates with BIM workflows. The scanned data can be directly incorporated into BIM models, improving the accuracy and completeness of the information available for construction and facility management.

Overall, 3D scanning of steel structures revolutionizes the way construction, maintenance, and engineering projects are undertaken. Its ability to capture accurate data quickly and efficiently empowers professionals to make informed decisions, leading to safer, more cost-effective, and well-executed projects.

We always use the right tools for your specific applccations.  

 

Jul 02

Detail Survey of Rail Corridor

 Railway feature extraction from point clouds involves the process of analyzing and identifying specific railway-related elements and structures within a three-dimensional point cloud dataset. Point clouds are dense sets of 3D coordinates representing the surface of an object or environment, obtained through various methods such as laser scanning or photogrammetry.

Here are some common railway features that can be extracted from point cloud data:

  1. Rail tracks: Rail tracks are a fundamental component of a railway system. Extracting rail tracks from point clouds involves identifying the geometric pattern formed by the rails and their alignment. This information is crucial for tasks like track maintenance, alignment verification, and clearance analysis.

  2. Railway switches and crossings: Switches and crossings allow trains to change tracks or cross from one track to another. Identifying these features in point cloud data involves detecting and characterizing the complex geometry of the switch points, frogs, and guardrails. Accurate extraction of switches and crossings aids in maintenance planning and safety assessments.

  3. Overhead line equipment (OLE): Overhead line equipment includes catenary wires, masts, and other components that supply power to electric trains. Extracting OLE features from point clouds involves identifying the wires, poles, and other supporting structures. This information is essential for assessing the clearance between the OLE and passing trains.

  4. Signal gantries and poles: Signal gantries and poles support the signaling system along the railway tracks. Extracting these features from point clouds involves identifying the supporting structures and signal heads. This information is crucial for maintenance planning, assessing visibility, and signal positioning.

  5. Platform edges: Platform edges are critical for passenger safety and accessibility. Extracting platform edges from point cloud data involves identifying the elevated structure along the track where passengers board and alight. Accurate extraction of platform edges aids in analyzing platform gaps and planning modifications for accessibility compliance.

  6. Trackside structures: Various structures, such as bridges, tunnels, and retaining walls, exist along railway lines. Extracting trackside structures from point clouds involves detecting and characterizing these objects, which helps with structural assessments, maintenance planning, and clearance analysis.

To extract these railway features from point cloud data, various techniques can be employed, including point cloud segmentation, classification algorithms, and geometric modeling. These techniques leverage the geometric and spatial properties of the point cloud data to identify and extract specific features of interest. Additionally, combining point cloud data with other sources, such as imagery or GIS data, can enhance the accuracy and efficiency of feature extraction processes.

We promise quality on every aspect of our delievrbales and we are specilaised in rail details surveys 

 

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