A new maintenance inspection support system utilizing point cloud data. Software that extracts damaged areas on the surface of structures, assisting in reducing the burden of sound inspection and creating damage diagrams.
MEMOREAD was developed as an infrastructure maintenance inspection support system that contributes to the efficiency of inspections and on-site surveys of infrastructure structures, as well as measures to mitigate third-party damage. By utilizing 3D TIN model technology from point clouds and visualizing the differential amounts through gradients, it is expected to discover issues such as concrete spalling and detachment that appear as aging changes in structures, leading to a reduction in the time required for on-site surveys and a decrease in the burden on inspectors. Understanding damage locations in advance is a technology that helps reduce the burden on inspectors, streamline the process, and prevent oversight of damage locations, thereby contributing to measures against third-party damage. Experiments conducted during bridge inspections have shown a 38% reduction in time compared to conventional inspection methods. Furthermore, the same analysis system has enabled the rapid creation of damage diagrams from the results of differential analysis. This technology directly traces the point cloud, eliminating the need for hand-drawn sketches on-site and effectively reducing the time required for drafting in-house. Previously, the accuracy of damage diagrams varied among individuals and companies, but improvements in creation techniques and the production of detailed damage diagrams have made it possible to compare past and present data. This software is designed to realize a new inspection technology based on point clouds.
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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 is a simple method that generates 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 defects that are difficult to detect by eye, such as construction flaws like uplift and warping, as well as issues like spalling, exposed rebar, honeycombing, bending, warping, efflorescence, expansion, and subsidence, all displayed 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 shorten the time spent on locating uplift on-site, and it is expected to streamline the creation of field sketches for damage mapping, achieving a dual effect.
Price information
Software selling price: 700,000 yen and up (excluding tax) *Please contact us for more information.
Price range
P4
Delivery Time
※The delivery time varies 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 pavement surface cracks - Verification of the quality of the applied spray thickness - Comparison of point cloud data from the first and second 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 reducing the burden on technicians during inspections and saving time.
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Screening analysis results (free lime on wall surfaces) 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 to understand initial deformations and the actual conditions by comparing the results with the CIM model and analyzing point cloud data measured at the time of completion.
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Differential analysis (differential analysis of changes in data from period 1 and period 2) Recently, point cloud data has been used as verification material for instances where bridge piers have collapsed due to scour caused by heavy rainfall, 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 earth structures" The use of new technologies for regular inspections of road earth 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) unfolded diagrams While aiming for three dimensions, tunnels and culverts are still viewed in two dimensions. The results of differential analysis are used to create unfolded diagrams, which serve as materials for understanding the full extent of damage.
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Creating 3D models from 2D drawings Parts are created as 3D models and composited onto point cloud data, which is 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 converting point clouds into 3D models and outputting the data, contributing to reduced burden and time savings.
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Company information
ISPI Co., Ltd. is a company that has been specializing in the development of design and analysis systems for three-dimensional civil engineering surveying since 1990. Recently, it has been focusing on creating three-dimensional models of infrastructure structures from point cloud data and expanding its software development and contract analysis services in the field of maintenance and management.