To reduce the burden of sound and other factors! Visualizing the damaged areas of structures with a gradient.

basic information

This is a system that uses data measured by ground-based laser scanners to create a gradient representation of the surface irregularities of structures for the acquisition of point cloud data. It employs a simple method to create a three-dimensional TIN (triangulated irregular network) model from point cloud data, allowing the system to read fine surface deformations. The advantage of point cloud data is that it can visually confirm areas of construction defects, such as subtle undulations and warping that are difficult to detect by eye, as well as issues like spalling, exposed rebar, honeycombing, bending, warping, efflorescence, expansion, and subsidence in 3D. Since the points have coordinate information, it is also possible to obtain necessary information for repair design, such as depth, distance, spacing, area, and repair quantity calculations. Utilizing the analysis results can reduce the time spent searching for undulations on-site, and it is expected to streamline the creation of field sketches for damage mapping, achieving a dual benefit.

Price information

Software sales price: 700,000 yen and up (excluding tax) *Please contact us for more information.

Price range

P4

Delivery Time

※Delivery times may vary depending on the quantity. Please feel free to contact us.

Applications/Examples of results

- Visualization of surface changes and damaged areas of infrastructure structures - Verification of spalling, subsidence, expansion, sinking, honeycombing, bending, bulging, deposits, step differences, cold joints, confirmation of pouring construction height, and wall collapses of structures - Chalking of cracks and tracing of cracks on pavement surfaces - Verification of the quality of the applied thickness during construction - Comparison of point cloud data from two different periods (visualization of terrain changes such as slopes, and displacements of structures and pipelines) - Verification of the thickness of tunnel lining concrete and visualization of internal displacements in tunnels - Follow-up investigation after repair work (peeling, cracking, lifting) - 2D mapping of structures without drawings - Creation of damage diagrams

Detailed information

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  Screening analysis results (bridge deck) Understanding the overall condition of infrastructure structures What if we could grasp the full extent of the damage to the entire structure before this investigation? I believe it could support the reduction of the burden on technicians during inspections and save time.

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  Screening analysis results (free lime in wall sections) visualization of damaged areas. This system visualizes surface deformations such as peeling, flaking, exposed rebar, cold joints, bulging, sinking, displacement, and cracking.

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  Differential analysis (bridge substructure) is also utilized as a means of understanding initial deformations and the actual current conditions through comparison with the CIM model and verification of the results, as well as from point cloud data measured at the time of completion.

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  Differential analysis (differential analysis of changes between data from period 1 and period 2) Recently, point cloud data has been used as verification material for cases where bridge piers have collapsed due to scouring caused by heavy rain, which washed away the soil under the footing of the bridge's substructure. It is possible to analyze changes in the structure over time, such as past and future, or before and after construction, using point clouds.

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  Utilization of screening analysis (reinforced soil walls) for regular inspections of "road civil engineering structures" The use of new technologies for regular inspections of road civil engineering structures has been recognized. Why not start by collecting data using point clouds to accumulate information for understanding the current situation and comparing it for the future?

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  Creation of screening analysis (culvert) development diagrams While aiming for three dimensions, tunnels and culverts are still viewed in two dimensions. The results of the differential analysis are used to create development diagrams, which serve as materials for understanding the overall condition of damaged areas.

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  Creating 3D models from 2D drawings Parts are created as 3D models, synthesized onto point cloud data, and utilized for distance and interference checks.

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  Manage inspection information with text flags. Information such as close-up investigation photos, drawings, and exploration results can be stored as image data in point cloud data.

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  Support for visualizing structures without drawings Are you still measuring the dimensions of structures over several days with multiple people? By measuring in a short time using point clouds, you can enhance safety and reduce costs. 2D visualization can also be achieved through a simple approach of modeling from point clouds and outputting data, contributing to reduced burden and time savings.